diff --git a/.agents/skills/atlas/assets/seed/catalog.json b/.agents/skills/atlas/assets/seed/catalog.json
index b3f54fc88..abce3c945 100644
--- a/.agents/skills/atlas/assets/seed/catalog.json
+++ b/.agents/skills/atlas/assets/seed/catalog.json
@@ -1 +1 @@
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diff --git a/.agents/skills/atlas/assets/seed/records/6b00dccaa7deabc750679ab085b237a2bd025bd971ee1eb7bdc333b393b19084.json b/.agents/skills/atlas/assets/seed/records/6b00dccaa7deabc750679ab085b237a2bd025bd971ee1eb7bdc333b393b19084.json
new file mode 100644
index 000000000..310aa73c3
--- /dev/null
+++ b/.agents/skills/atlas/assets/seed/records/6b00dccaa7deabc750679ab085b237a2bd025bd971ee1eb7bdc333b393b19084.json
@@ -0,0 +1 @@
+{"citations":[{"path":"tools/learn-01-analysis.py","repository":"FS-GG/.github","revision":"e4cb3efaaf27515bef79d99b76c654441850c69e","sha256":"25fe06904bcff63c191999381b20c4b10b2f25ae6d31d4f1be48a0af663cf938"},{"path":"tests/learn-01-analysis/test_analysis.py","repository":"FS-GG/.github","revision":"e4cb3efaaf27515bef79d99b76c654441850c69e","sha256":"d4c9a2ae97aac2421f54f494c7a01a6b7080181ec0eeecef945a18efb108b9fe"},{"path":"docs/roadmaps/learn-01-causal-receiver.md","repository":"FS-GG/.github","revision":"e4cb3efaaf27515bef79d99b76c654441850c69e","sha256":"252fe5b979e11252c993f2983bc14ec346cd64104b65ee45069e41948d2e488d"}],"conflictsWith":[],"id":"learn/advisory-lifecycle-evidence","kind":"boundary","recordedAt":"2026-10-20T12:41:38Z","repository":"FS-GG/.github","schema":"fsgg.atlas/1","status":"recorded","summary":"The source candidate adds an advisory lifecycleObservation to the existing LEARN private snapshot analyzer using retained admissions, starts, terminals and times. Process-start presence requires process rows; distinct process observations, threads and turns survive repeated phases. Duplicate retained identities and the receiver's actual thread/turn semantic keys refuse. Missing historical relations remain unavailable, missing retained identity/outcome columns remain explicit, and malformed, foreign or oversized present relations refuse. Each relation retains the10000-row bound and existing outer snapshot byte limits; diagnostic samples cap at20 with exact omitted counts.\n\nTimestamp presence, multiple observations and apparent within-row reversal warnings are descriptive evidence. Equal clock labels do not prove a shared clock domain. Missing terminal evidence remains unresolved across interruption/restart; late arrival belongs to another retained snapshot. No durations, observed waits or critical paths are inferred. Existing token, native-source, shared-cost and enrollment predicates retain their meaning; waitCoverage remains unknown, criticalPath not-evaluated and native population coverage not-assessed.\n\nThis independently useful source capability can proceed while authentic native provisioner/profile/inventory supply remains pending for dependent operation. The candidate changes no producer wire schema, SQLite migration, journal, executor or operating authority. Source controls establish inert analyzer behavior only; independent source review, required exact-head CI and protected delivery remain separate from installed/native capture, LEARN experiments and full outcome acceptance.\n\nReceiver text validation remains non-whitespace without an added input length ceiling. Complete identities stay internal for joins, ordering and duplicates; oversized diagnostic strings render a bounded prefix, character count and full ASCII-JSON-string digest. Timestamp evidence requires the existing RFC3339 shape plus valid calendar, time-of-day, numeric offset and UTC/local range. The source controls distinguish valid long inputs from malformed present evidence and retain the original failed24:00 normalization control; no source test becomes native authority.","supersedes":[],"tags":["learn","lifecycle","coverage","source","clock","custody","analysis"],"title":"Selected-snapshot lifecycle evidence does not establish waits or runtime completeness"}
diff --git a/.claude/skills/atlas/assets/seed/catalog.json b/.claude/skills/atlas/assets/seed/catalog.json
index b3f54fc88..abce3c945 100644
--- a/.claude/skills/atlas/assets/seed/catalog.json
+++ b/.claude/skills/atlas/assets/seed/catalog.json
@@ -1 +1 @@
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diff --git a/.claude/skills/atlas/assets/seed/records/6b00dccaa7deabc750679ab085b237a2bd025bd971ee1eb7bdc333b393b19084.json b/.claude/skills/atlas/assets/seed/records/6b00dccaa7deabc750679ab085b237a2bd025bd971ee1eb7bdc333b393b19084.json
new file mode 100644
index 000000000..310aa73c3
--- /dev/null
+++ b/.claude/skills/atlas/assets/seed/records/6b00dccaa7deabc750679ab085b237a2bd025bd971ee1eb7bdc333b393b19084.json
@@ -0,0 +1 @@
+{"citations":[{"path":"tools/learn-01-analysis.py","repository":"FS-GG/.github","revision":"e4cb3efaaf27515bef79d99b76c654441850c69e","sha256":"25fe06904bcff63c191999381b20c4b10b2f25ae6d31d4f1be48a0af663cf938"},{"path":"tests/learn-01-analysis/test_analysis.py","repository":"FS-GG/.github","revision":"e4cb3efaaf27515bef79d99b76c654441850c69e","sha256":"d4c9a2ae97aac2421f54f494c7a01a6b7080181ec0eeecef945a18efb108b9fe"},{"path":"docs/roadmaps/learn-01-causal-receiver.md","repository":"FS-GG/.github","revision":"e4cb3efaaf27515bef79d99b76c654441850c69e","sha256":"252fe5b979e11252c993f2983bc14ec346cd64104b65ee45069e41948d2e488d"}],"conflictsWith":[],"id":"learn/advisory-lifecycle-evidence","kind":"boundary","recordedAt":"2026-10-20T12:41:38Z","repository":"FS-GG/.github","schema":"fsgg.atlas/1","status":"recorded","summary":"The source candidate adds an advisory lifecycleObservation to the existing LEARN private snapshot analyzer using retained admissions, starts, terminals and times. Process-start presence requires process rows; distinct process observations, threads and turns survive repeated phases. Duplicate retained identities and the receiver's actual thread/turn semantic keys refuse. Missing historical relations remain unavailable, missing retained identity/outcome columns remain explicit, and malformed, foreign or oversized present relations refuse. Each relation retains the10000-row bound and existing outer snapshot byte limits; diagnostic samples cap at20 with exact omitted counts.\n\nTimestamp presence, multiple observations and apparent within-row reversal warnings are descriptive evidence. Equal clock labels do not prove a shared clock domain. Missing terminal evidence remains unresolved across interruption/restart; late arrival belongs to another retained snapshot. No durations, observed waits or critical paths are inferred. Existing token, native-source, shared-cost and enrollment predicates retain their meaning; waitCoverage remains unknown, criticalPath not-evaluated and native population coverage not-assessed.\n\nThis independently useful source capability can proceed while authentic native provisioner/profile/inventory supply remains pending for dependent operation. The candidate changes no producer wire schema, SQLite migration, journal, executor or operating authority. Source controls establish inert analyzer behavior only; independent source review, required exact-head CI and protected delivery remain separate from installed/native capture, LEARN experiments and full outcome acceptance.\n\nReceiver text validation remains non-whitespace without an added input length ceiling. Complete identities stay internal for joins, ordering and duplicates; oversized diagnostic strings render a bounded prefix, character count and full ASCII-JSON-string digest. Timestamp evidence requires the existing RFC3339 shape plus valid calendar, time-of-day, numeric offset and UTC/local range. The source controls distinguish valid long inputs from malformed present evidence and retain the original failed24:00 normalization control; no source test becomes native authority.","supersedes":[],"tags":["learn","lifecycle","coverage","source","clock","custody","analysis"],"title":"Selected-snapshot lifecycle evidence does not establish waits or runtime completeness"}
diff --git a/docs/atlas/catalog.json b/docs/atlas/catalog.json
index b3f54fc88..abce3c945 100644
--- a/docs/atlas/catalog.json
+++ b/docs/atlas/catalog.json
@@ -1 +1 @@
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diff --git a/docs/atlas/records/6b00dccaa7deabc750679ab085b237a2bd025bd971ee1eb7bdc333b393b19084.json b/docs/atlas/records/6b00dccaa7deabc750679ab085b237a2bd025bd971ee1eb7bdc333b393b19084.json
new file mode 100644
index 000000000..310aa73c3
--- /dev/null
+++ b/docs/atlas/records/6b00dccaa7deabc750679ab085b237a2bd025bd971ee1eb7bdc333b393b19084.json
@@ -0,0 +1 @@
+{"citations":[{"path":"tools/learn-01-analysis.py","repository":"FS-GG/.github","revision":"e4cb3efaaf27515bef79d99b76c654441850c69e","sha256":"25fe06904bcff63c191999381b20c4b10b2f25ae6d31d4f1be48a0af663cf938"},{"path":"tests/learn-01-analysis/test_analysis.py","repository":"FS-GG/.github","revision":"e4cb3efaaf27515bef79d99b76c654441850c69e","sha256":"d4c9a2ae97aac2421f54f494c7a01a6b7080181ec0eeecef945a18efb108b9fe"},{"path":"docs/roadmaps/learn-01-causal-receiver.md","repository":"FS-GG/.github","revision":"e4cb3efaaf27515bef79d99b76c654441850c69e","sha256":"252fe5b979e11252c993f2983bc14ec346cd64104b65ee45069e41948d2e488d"}],"conflictsWith":[],"id":"learn/advisory-lifecycle-evidence","kind":"boundary","recordedAt":"2026-10-20T12:41:38Z","repository":"FS-GG/.github","schema":"fsgg.atlas/1","status":"recorded","summary":"The source candidate adds an advisory lifecycleObservation to the existing LEARN private snapshot analyzer using retained admissions, starts, terminals and times. Process-start presence requires process rows; distinct process observations, threads and turns survive repeated phases. Duplicate retained identities and the receiver's actual thread/turn semantic keys refuse. Missing historical relations remain unavailable, missing retained identity/outcome columns remain explicit, and malformed, foreign or oversized present relations refuse. Each relation retains the10000-row bound and existing outer snapshot byte limits; diagnostic samples cap at20 with exact omitted counts.\n\nTimestamp presence, multiple observations and apparent within-row reversal warnings are descriptive evidence. Equal clock labels do not prove a shared clock domain. Missing terminal evidence remains unresolved across interruption/restart; late arrival belongs to another retained snapshot. No durations, observed waits or critical paths are inferred. Existing token, native-source, shared-cost and enrollment predicates retain their meaning; waitCoverage remains unknown, criticalPath not-evaluated and native population coverage not-assessed.\n\nThis independently useful source capability can proceed while authentic native provisioner/profile/inventory supply remains pending for dependent operation. The candidate changes no producer wire schema, SQLite migration, journal, executor or operating authority. Source controls establish inert analyzer behavior only; independent source review, required exact-head CI and protected delivery remain separate from installed/native capture, LEARN experiments and full outcome acceptance.\n\nReceiver text validation remains non-whitespace without an added input length ceiling. Complete identities stay internal for joins, ordering and duplicates; oversized diagnostic strings render a bounded prefix, character count and full ASCII-JSON-string digest. Timestamp evidence requires the existing RFC3339 shape plus valid calendar, time-of-day, numeric offset and UTC/local range. The source controls distinguish valid long inputs from malformed present evidence and retain the original failed24:00 normalization control; no source test becomes native authority.","supersedes":[],"tags":["learn","lifecycle","coverage","source","clock","custody","analysis"],"title":"Selected-snapshot lifecycle evidence does not establish waits or runtime completeness"}
diff --git a/docs/roadmaps/learn-01-causal-receiver.md b/docs/roadmaps/learn-01-causal-receiver.md
index a5ad91b8c..a932832c2 100644
--- a/docs/roadmaps/learn-01-causal-receiver.md
+++ b/docs/roadmaps/learn-01-causal-receiver.md
@@ -13,3 +13,43 @@ The fixed fixtures in `tests/learn-01-analysis/fixtures/causal-admission/` are s
 Local source qualification on the isolated C1 candidate passed 46 Python analyzer tests, three focused Core decoder tests, one CLI schema-14 temporary-store ingress/reopen/replay/refusal test and one Dashboard private-row projection test. The synthetic fixture manifest SHA-256 is `58de080758af83f2e243faf6995a44a529d00f810d43b2ac64753d14f59ce880`. The source-built CLI DLL SHA-256 is `e3a0f5949cb54c7a00d2883083fd05d0efcd239fc18eb07a4e4c850a1492ef87`. A later controlled C3 source-artifact fixture passed genuine C2 batch ingestion, separate-process reopen, eight-batch replay and analyzer own joins with generic local receipts; it did not qualify a packed or installed receiver or native collector. The subsequent receipt-route repair passed both named causal CLI tests from its pinned source build, including terminal conflict rejection and canonical retention. Its first test-host attempt aborted before executing tests because the configured runtime roll-forward policy excluded the installed patch; a fresh test-only attempt with the installed patch passed 2/2. Earlier local restore/compiler/test-helper failures and the first synthetic assignment-scaffold refusal remain retained in the private qualification record. These checks used disposable source fixtures and temporary stores; they did not ingest into an installed observer or establish native provenance.
 
 Source order is merged A1–A3, C1 receiver, C2 producer, then C3 exact composition. Publication and installed adoption remain separate: adopt a compatible receiver before enabling new producer emission. This source window does not select a dependency wait or change fresh-workspace defaults. LEARN-01.2 and LEARN-01.4 remain open pending installed custody, independent population and shared-cost evidence, and the later qualified wait/lifecycle reduction.
+
+## Advisory lifecycle evidence
+
+The [private analyzer](../../tools/learn-01-analysis.py) adds `lifecycleObservation`
+from the existing selected snapshot's `starts`, `terminals` and `times` relations.
+It reports process-start and terminal presence for admitted invocations, terminal
+outcome categories, timestamp/clock-field presence, multiple observations and
+apparent within-row timestamp reversals. These diagnostics do not change token,
+native-source, shared-cost or enrollment qualification.
+
+Process-start presence requires a process row. Thread and turn rows cannot replace
+it. Phase and PID alone are not uniqueness keys: distinct process observations,
+threads and turns remain visible. Duplicate retained identities and the receiver's
+actual thread `(invocation, thread)` and turn `(invocation, thread, sequence)` keys
+refuse. Nullable historical thread fields retain their existing meaning. Multiple
+time observations remain visible rather than becoming inferred starts or ends.
+
+An absent historical relation is `unavailable`, with missing-presence diagnostics
+set to null; a present empty relation reports missing evidence. Older summaries
+without retained identity/outcome columns expose those gaps. Malformed present
+relations, foreign joins and relations above 10,000 rows refuse within the existing
+snapshot byte bounds. Producer text retains its non-whitespace validation without
+an added identity length limit. Diagnostic samples contain at most 20 entries
+with exact counts and omitted counts. A sample string above 512 bytes in its
+ASCII JSON encoding is rendered as a 48-character prefix, original character
+count and `jsonSha256` of that full encoded string. Joins, duplicate checks and
+counts still use complete input identities. Replaying or reordering the same
+snapshot preserves the result; late evidence belongs to a separate snapshot result.
+
+A missing terminal remains unresolved, including after interruption or restart.
+Cancellation intent, actor exit and receiver observation order cannot supply an
+end or descendant retirement. Clock labels alone do not establish a shared clock
+domain; timestamps require the receiver's RFC 3339 shape and valid calendar/offset
+values. Apparent timestamp reversals preserve fractional ordering but remain
+evidence warnings, not duration or causal calculations.
+`clockComparability=unverified`, `waitCoverage=unknown` and
+`criticalPath=not-evaluated` remain explicit. Native population coverage is not
+assessed by this audit. Boundary-owned wait observations and qualified interval
+reduction, authentic collection, installed adoption and full LEARN acceptance
+remain separate work; this source capability grants no operating authority.
diff --git a/registry/driver-skill-manifest.json b/registry/driver-skill-manifest.json
index 21d75d573..c1696a0d5 100644
--- a/registry/driver-skill-manifest.json
+++ b/registry/driver-skill-manifest.json
@@ -5,7 +5,7 @@
       "id": "atlas",
       "scope": "driver",
       "sha256": "c18e56fcc56abf80903e2fc6829cd94b44f42947724a26318ebcbf1ac5e1b35b",
-      "tree-sha256": "121f48b56fb9081e56fddb2ee4ab22b72113fe5c41c80ae4b383a0873861a851",
+      "tree-sha256": "7f65cffa31aca3b850179a3fed9b9883c6ae5ca018c0068f37b065276fd8abdd",
       "files": [
         {
           "path": "SKILL.md",
@@ -24,7 +24,7 @@
         },
         {
           "path": "assets/seed/catalog.json",
-          "sha256": "b69b0222080db6e617a61f3d9973e2af93056189c88a2f421fed670e039a827a",
+          "sha256": "aa6c65f7a1dce76313aca83c20c854e34995094c25d4be16a98c449e792e3fd6",
           "executable": false
         },
         {
@@ -657,6 +657,11 @@
           "sha256": "6a34d9279cae58765d6ee4a980192c0e15f3ca217b9f1815861d472a281b3cf8",
           "executable": false
         },
+        {
+          "path": "assets/seed/records/6b00dccaa7deabc750679ab085b237a2bd025bd971ee1eb7bdc333b393b19084.json",
+          "sha256": "6b00dccaa7deabc750679ab085b237a2bd025bd971ee1eb7bdc333b393b19084",
+          "executable": false
+        },
         {
           "path": "assets/seed/records/6c3c592efe9c684ada5661b8cc88a5c3f6e57c841db06b9e070687504cbf6236.json",
           "sha256": "6c3c592efe9c684ada5661b8cc88a5c3f6e57c841db06b9e070687504cbf6236",
diff --git a/tests/learn-01-analysis/test_analysis.py b/tests/learn-01-analysis/test_analysis.py
index a84ae6454..6317d2904 100644
--- a/tests/learn-01-analysis/test_analysis.py
+++ b/tests/learn-01-analysis/test_analysis.py
@@ -1330,6 +1330,288 @@ def test_delayed_repair_must_follow_acceptance(self):
         with self.assertRaisesRegex(MODULE.Refusal, "repair does not follow acceptance"):
             MODULE.validate_corpus(CONTRACT, corpus)
 
+    def lifecycle_content(self):
+        content = self.complete_v3_content()
+        own = {"item_id": "I-001", "invocation_id": "inv-I-001"}
+        content["starts"] = [
+            {**own, "identity": "start-process", "phase": "process", "process_id": 7,
+             "thread_id": None, "turn_id": None, "turn_sequence": None},
+        ]
+        content["terminals"] = [{**own, "identity": "terminal", "outcome": "completed", "exit_code": 0}]
+        content["times"] = [
+            {**own, "identity": "time-" + event, "event": event,
+             "occurred_at": "2026-01-01T00:00:0" + str(index) + "Z",
+             "observed_at": "2026-01-01T00:00:0" + str(index) + "Z",
+             "occurred_clock_provenance": "host-wall", "observed_clock_provenance": "host-wall"}
+            for index, event in enumerate(("admission", "start", "terminal"))
+        ]
+        return content
+
+    def lifecycle_report(self, content):
+        return MODULE.analyze_private_snapshot(CONTRACT, private_envelope(content, version=4))
+
+    def test_lifecycle_presence_is_advisory_and_preserves_every_accounting_result(self):
+        baseline = self.lifecycle_report(self.complete_v3_content())
+        content = self.lifecycle_content()
+        result = self.lifecycle_report(content)
+        summary = result["lifecycleObservation"]
+        self.assertEqual(1, summary["processStartPresence"]["present"])
+        self.assertEqual(0, summary["processStartPresence"]["missing"]["count"])
+        self.assertEqual(1, summary["terminalPresence"]["present"])
+        self.assertEqual(1, summary["terminalOutcomes"]["completed"])
+        for event in ("admission", "start", "terminal"):
+            self.assertEqual(1, summary["timestamps"][event]["occurredPresent"])
+        self.assertEqual("unverified", summary["clockComparability"])
+        self.assertEqual("unknown", summary["waitCoverage"])
+        self.assertEqual("not-evaluated", summary["criticalPath"])
+        self.assertEqual("not-assessed", summary["nativePopulationCoverage"])
+        for key in baseline.keys() - {"lifecycleObservation", "snapshotRevision"}:
+            self.assertEqual(baseline[key], result[key], key)
+        for field in ("duration", "waitSeconds", "tokenTotal", "operationalReady"):
+            self.assertNotIn(field, summary)
+
+    def test_lifecycle_preserves_distinct_processes_threads_and_turns_sharing_phase(self):
+        content = self.lifecycle_content()
+        process = content["starts"][0]
+        content["starts"].append({**process, "identity": "second-process"})  # PID alone is not unique.
+        for thread in ("thread-a", "thread-b"):
+            content["starts"].append({**process, "identity": thread, "phase": "thread", "thread_id": thread})
+            for sequence in (0, 1):
+                content["starts"].append({**process, "identity": thread + str(sequence), "phase": "turn",
+                                          "thread_id": thread, "turn_id": "turn-" + str(sequence),
+                                          "turn_sequence": sequence})
+        summary = self.lifecycle_report(content)["lifecycleObservation"]
+        self.assertEqual({"process": 2, "thread": 2, "turn": 4}, summary["startRowsByPhase"])
+        self.assertEqual(1, summary["processStartPresence"]["present"])
+        self.assertEqual(["inv-I-001"], summary["multipleProcessStarts"]["sample"])
+        content["starts"] = [row for row in content["starts"] if row["phase"] != "process"]
+        summary = self.lifecycle_report(content)["lifecycleObservation"]
+        self.assertEqual(0, summary["processStartPresence"]["present"])
+        self.assertEqual(["inv-I-001"], summary["processStartPresence"]["missing"]["sample"])
+
+    def test_lifecycle_duplicate_fact_and_actual_thread_turn_keys_refuse(self):
+        for phase in ("process", "thread", "turn"):
+            for change_identity in (False, True):
+                if phase == "process" and change_identity:
+                    continue
+                with self.subTest(phase=phase, changed_identity=change_identity):
+                    content = self.lifecycle_content()
+                    row = content["starts"][0]
+                    row.update(phase=phase, thread_id="thread", turn_id="turn", turn_sequence=0)
+                    duplicate = {**row}
+                    if change_identity:
+                        duplicate.update(identity="different-fact", turn_id="conflicting-turn")
+                    content["starts"].append(duplicate)
+                    with self.assertRaisesRegex(MODULE.Refusal, "duplicat"):
+                        self.lifecycle_report(content)
+        for relation in ("terminals", "times"):
+            with self.subTest(relation=relation):
+                content = self.lifecycle_content()
+                content[relation].append(copy.deepcopy(content[relation][0]))
+                with self.assertRaisesRegex(MODULE.Refusal, "duplicat"):
+                    self.lifecycle_report(content)
+
+    def test_lifecycle_old_absent_relations_are_unknown_and_partial_columns_stay_visible(self):
+        content = self.complete_v3_content()
+        summary = self.lifecycle_report(content)["lifecycleObservation"]
+        self.assertEqual("unavailable", summary["relations"]["starts"])
+        self.assertIsNone(summary["processStartPresence"]["missing"])
+        self.assertIsNone(summary["timestamps"]["start"]["eventPresence"]["missing"])
+        self.assertEqual(1, summary["terminalOutcomes"]["unknown"])
+        self.assertEqual(1, summary["rowsWithoutRetainedIdentity"]["terminals"])
+        del content["terminals"]
+        summary = self.lifecycle_report(content)["lifecycleObservation"]
+        self.assertIsNone(summary["terminalPresence"]["missing"])
+        content["starts"] = []; content["times"] = []; content["terminals"] = []
+        summary = self.lifecycle_report(content)["lifecycleObservation"]
+        self.assertEqual(1, summary["processStartPresence"]["missing"]["count"])
+        self.assertEqual(1, summary["terminalPresence"]["missing"]["count"])
+        self.assertEqual(1, summary["timestamps"]["start"]["eventPresence"]["missing"]["count"])
+
+    def test_lifecycle_present_malformed_and_oversized_relations_refuse(self):
+        for relation in ("admissions", "starts", "terminals", "times"):
+            for rows in (None, {}, [None], [{}] * 10001):
+                with self.subTest(relation=relation, shape=type(rows).__name__):
+                    content = self.lifecycle_content(); content[relation] = rows
+                    with self.assertRaisesRegex(MODULE.Refusal, "lifecycle relation"):
+                        self.lifecycle_report(content)
+
+    def test_lifecycle_long_producer_text_is_preserved_for_joins_and_accounting(self):
+        content = self.lifecycle_content()
+        long_item, long_invocation = "item-" + "x" * 513, "invocation-" + "x" * 513
+        content["learningObservations"] = [
+            {"canonical": json.dumps({**event, "itemId": long_item})}
+            for event in OBSERVATIONS["events"] if event.get("itemId") == "I-001"
+        ]
+        content["expectedDispatches"] = []; content["lineage"] = []
+        for relation in ("admissions", "starts", "terminals", "times", "usage"):
+            for row in content[relation]:
+                row.update(item_id=long_item, invocation_id=long_invocation)
+                if "identity" in row:
+                    row["identity"] += "x" * 513
+        content["starts"][0].update(thread_id="thread-" + "x" * 513, turn_id="turn-" + "x" * 513)
+        content["terminals"][0]["outcome"] = "outcome-" + "x" * 513
+        baseline = copy.deepcopy(content); del baseline["starts"]; del baseline["times"]
+        before = self.lifecycle_report(baseline)
+        after = self.lifecycle_report(content)
+        for key in before.keys() - {"lifecycleObservation", "snapshotRevision"}:
+            self.assertEqual(before[key], after[key], key)
+        summary = after["lifecycleObservation"]
+        self.assertEqual(1, summary["processStartPresence"]["present"])
+        self.assertEqual(1, summary["terminalOutcomes"]["other"])
+        # Equal prefixes do not alias distinct full input keys.
+        first = content["starts"][0]
+        content["starts"].extend([
+            {**first, "identity": "thread-fact-a", "phase": "thread", "thread_id": "t" * 600 + "a"},
+            {**first, "identity": "thread-fact-b", "phase": "thread", "thread_id": "t" * 600 + "b"},
+        ])
+        self.assertEqual(2, self.lifecycle_report(content)["lifecycleObservation"]["startRowsByPhase"]["thread"])
+        content["starts"].append({**content["starts"][-1], "identity": "another-fact"})
+        with self.assertRaisesRegex(MODULE.Refusal, "thread/turn start key"):
+            self.lifecycle_report(content)
+
+    def test_lifecycle_long_diagnostics_are_bounded_without_input_truncation(self):
+        content = self.lifecycle_content()
+        content["learningObservations"] = [
+            {"canonical": json.dumps(event)} for event in OBSERVATIONS["events"] if event.get("itemId") == "I-001"
+        ]
+        content["usage"] = []; content["expectedDispatches"] = []; content["lineage"] = []
+        prefix = "\u754c" * 600
+        content["admissions"] = [{**content["admissions"][0], "identity": "admit-" + str(i),
+                                  "invocation_id": prefix + str(i)} for i in range(30)]
+        content["starts"] = []; content["terminals"] = []; content["times"] = []
+        summary = self.lifecycle_report(content)["lifecycleObservation"]
+        missing = summary["processStartPresence"]["missing"]
+        self.assertEqual((30, 20, 10), (missing["count"], len(missing["sample"]), missing["omitted"]))
+        self.assertEqual(20, len({entry["jsonSha256"] for entry in missing["sample"]}))
+        for entry in missing["sample"]:
+            self.assertEqual(48, len(entry["prefix"]))
+            self.assertGreater(entry["characters"], 512)
+            self.assertLessEqual(len(json.dumps(entry, ensure_ascii=True).encode("ascii")), 512)
+        self.assertLess(len(json.dumps(summary, ensure_ascii=True).encode("ascii")), 65536)
+        content["admissions"].reverse()
+        self.assertEqual(summary, self.lifecycle_report(content)["lifecycleObservation"])
+
+    def test_lifecycle_whitespace_only_producer_fields_refuse(self):
+        for relation, field in (("starts", "identity"), ("starts", "thread_id"), ("starts", "turn_id"),
+                                ("terminals", "outcome"), ("terminals", "thread_id")):
+            for value in ("", " \t\r\n", "\u0085\u2003\u2028"):
+                with self.subTest(relation=relation, field=field, value=ascii(value)):
+                    content = self.lifecycle_content(); content[relation][0][field] = value
+                    with self.assertRaises(MODULE.Refusal):
+                        self.lifecycle_report(content)
+
+    def test_lifecycle_timestamp_requires_canonical_rfc3339_and_valid_calendar_offset(self):
+        values = ("2026-01-01 00:00:00Z", "20260101T000000Z", "2026-W01-1T00:00:00Z",
+                  "2026-01-01T00:00:00+00:00:30", "2026-01-01T00:00:00+0000",
+                  "2026-01-01T00:00:00,1Z", "2026-01-01t00:00:00Z", "2026-01-01T00:00:00z",
+                  "2026-01-01T00:00:00+14:01", "2026-01-01T00:00:00+15:00",
+                  "2026-01-01T00:00:00+00:99", "2026-02-30T00:00:00Z",
+                  "2026-01-01T24:00:00Z", "2026-01-01T00:00:60Z", "0001-01-01T00:00:00+14:00",
+                  "9999-12-31T23:59:59.99999999Z", "9999-12-31T23:59:59.99999999+01:00")
+        for field in ("occurred_at", "observed_at"):
+            for value in values:
+                with self.subTest(field=field, value=value):
+                    content = self.lifecycle_content(); content["times"][0][field] = value
+                    with self.assertRaisesRegex(MODULE.Refusal, "timestamp is malformed"):
+                        self.lifecycle_report(content)
+
+    def test_lifecycle_fractional_offset_chronology_retains_raw_order_only(self):
+        content = self.lifecycle_content()
+        row = content["times"][1]
+        row.update(occurred_at="2026-01-01T01:00:00.1234567+01:00",
+                   observed_at="2026-01-01T00:00:00.1234567Z")
+        self.assertEqual(0, self.lifecycle_report(content)["lifecycleObservation"]["apparentTimestampOrderWarnings"]["count"])
+        row["observed_at"] = "2026-01-01T00:00:00.1234566Z"
+        summary = self.lifecycle_report(content)["lifecycleObservation"]
+        self.assertEqual(["inv-I-001:start"], summary["apparentTimestampOrderWarnings"]["sample"])
+        row.update(occurred_at="2026-01-01T14:00:00.10+14:00", observed_at="2025-12-31T10:00:00.1-14:00")
+        summary = self.lifecycle_report(content)["lifecycleObservation"]
+        self.assertEqual(0, summary["apparentTimestampOrderWarnings"]["count"])
+        self.assertEqual("unverified", summary["clockComparability"])
+        self.assertEqual("unknown", summary["waitCoverage"])
+        self.assertEqual("not-evaluated", summary["criticalPath"])
+        row.update(occurred_at="9999-12-31T23:59:59.9999999Z", observed_at="9999-12-31T23:59:59.9999999Z")
+        self.assertEqual(0, self.lifecycle_report(content)["lifecycleObservation"]["apparentTimestampOrderWarnings"]["count"])
+
+    def test_lifecycle_malformed_fields_refuse_without_type_errors(self):
+        cases = [("starts", "phase", []), ("starts", "process_id", True),
+                 ("starts", "thread_id", []), ("starts", "turn_sequence", -1),
+                 ("starts", "identity", None), ("terminals", "outcome", None),
+                 ("terminals", "exit_code", -1), ("terminals", "thread_id", {}),
+                 ("times", "event", []), ("times", "occurred_at", "bad"),
+                 ("times", "observed_at", "2026-01-01T00:00:00"),
+                 ("times", "observed_clock_provenance", "monotonic-unproven")]
+        for relation, key, value in cases:
+            with self.subTest(relation=relation, key=key):
+                content = self.lifecycle_content(); content[relation][0][key] = value
+                with self.assertRaises(MODULE.Refusal):
+                    self.lifecycle_report(content)
+
+    def test_lifecycle_rows_cannot_join_a_foreign_invocation_original_or_workspace(self):
+        for relation in ("starts", "terminals", "times"):
+            for key, value in (("invocation_id", "foreign"), ("item_id", "I-002"),
+                               ("workspace_id", "foreign-workspace")):
+                with self.subTest(relation=relation, key=key):
+                    content = self.lifecycle_content(); content[relation][0][key] = value
+                    with self.assertRaises(MODULE.Refusal):
+                        self.lifecycle_report(content)
+
+    def test_lifecycle_open_restart_and_late_terminal_are_distinct_snapshots(self):
+        content = self.lifecycle_content(); content["terminals"] = []
+        content["times"] = [row for row in content["times"] if row["event"] != "terminal"]
+        # Neither a gap nor the passage of time closes the original invocation.
+        content["runtimeGaps"] = [{"invocation_id": "inv-I-001", "code": "interrupted"}]
+        before = self.lifecycle_report(content)["lifecycleObservation"]
+        self.assertEqual(1, before["terminalPresence"]["missing"]["count"])
+        restarted = copy.deepcopy(content)
+        restarted["times"][0]["observed_at"] = "2026-02-02T00:00:00Z"
+        self.assertEqual(before, self.lifecycle_report(restarted)["lifecycleObservation"])
+        content["terminals"] = self.lifecycle_content()["terminals"]
+        after = self.lifecycle_report(content)["lifecycleObservation"]
+        self.assertEqual(0, after["terminalPresence"]["missing"]["count"])
+        self.assertEqual(1, before["terminalPresence"]["missing"]["count"])
+        self.assertEqual(1, after["timestamps"]["terminal"]["eventPresence"]["missing"]["count"])
+
+    def test_lifecycle_times_retain_missing_multiple_and_apparent_order_evidence(self):
+        content = self.lifecycle_content()
+        row = content["times"][1]
+        row.update(occurred_at="2026-01-02T00:00:00Z", observed_at="2026-01-01T00:00:00Z")
+        content["times"].append({**row, "identity": "second-start-time", "occurred_at": None,
+                                 "observed_clock_provenance": "provider-native"})
+        content["times"].append({**row, "identity": "third-start-time", "occurred_at": "2026-01-03T00:00:00Z"})
+        summary = self.lifecycle_report(content)["lifecycleObservation"]
+        self.assertEqual(3, summary["timestamps"]["start"]["rows"])
+        self.assertEqual(2, summary["timestamps"]["start"]["occurredPresent"])
+        self.assertEqual(1, summary["timestamps"]["start"]["multipleObservations"]["count"])
+        self.assertEqual(1, summary["timestamps"]["start"]["differingOccurrenceObservations"]["count"])
+        self.assertEqual(["inv-I-001:start"], summary["apparentTimestampOrderWarnings"]["sample"])
+        self.assertEqual("unverified", summary["clockComparability"])
+        self.assertEqual("not-evaluated", summary["criticalPath"])
+
+    def test_lifecycle_summary_is_order_replay_invariant_and_samples_are_bounded(self):
+        content = self.lifecycle_content()
+        content["learningObservations"] = [
+            {"canonical": json.dumps(event)} for event in OBSERVATIONS["events"] if event.get("itemId") == "I-001"
+        ]
+        content["usage"] = []; content["expectedDispatches"] = []; content["lineage"] = []
+        content["admissions"] = [{**content["admissions"][0], "identity": "admit-" + str(i),
+                                  "invocation_id": "inv-" + str(i)} for i in range(30)]
+        content["starts"] = []; content["terminals"] = []; content["times"] = []
+        before = self.lifecycle_report(content)["lifecycleObservation"]
+        content["admissions"].reverse()
+        self.assertEqual(before, self.lifecycle_report(content)["lifecycleObservation"])
+        for field in (before["processStartPresence"]["missing"], before["terminalPresence"]["missing"],
+                      before["timestamps"]["start"]["eventPresence"]["missing"]):
+            self.assertEqual(30, field["count"])
+            self.assertEqual(20, len(field["sample"]))
+            self.assertEqual(10, field["omitted"])
+        # Exercise the inclusive relation boundary through the real bounded snapshot decoder.
+        content["times"] = [{"identity": "time-" + str(i), "invocation_id": "inv-0", "item_id": "I-001",
+                             "event": "admission"} for i in range(10000)]
+        summary = self.lifecycle_report(content)["lifecycleObservation"]
+        self.assertEqual(10000, summary["timestamps"]["admission"]["rows"])
+
     def test_causal_fixture_manifest_binds_exact_raw_and_event_bytes(self):
         fixture = ROOT / "tests/learn-01-analysis/fixtures/causal-admission"
         manifest = json.loads((fixture / "manifest.json").read_text())
diff --git a/tools/learn-01-analysis.py b/tools/learn-01-analysis.py
index be062588c..c661dba01 100755
--- a/tools/learn-01-analysis.py
+++ b/tools/learn-01-analysis.py
@@ -20,7 +20,7 @@
 import unicodedata
 import uuid
 from collections import Counter, defaultdict
-from datetime import datetime, timedelta
+from datetime import datetime, timedelta, timezone
 
 
 class Refusal(ValueError):
@@ -926,9 +926,209 @@ def bounded(values):
             "populationScope": "bounded-selected-snapshot-only"}
 
 
+def lifecycle_relations(content: dict) -> dict:
+    """Bound present relations before any traversal; absent historical relations stay unavailable."""
+    result = {}
+    for name in ("admissions", "starts", "terminals", "times"):
+        if name in content:
+            rows = content[name]
+            if not isinstance(rows, list) or len(rows) > 10000 or any(not isinstance(row, dict) for row in rows):
+                raise Refusal("lifecycle relation must contain at most 10000 object rows: " + name)
+            result[name] = rows
+    return result
+
+
+def lifecycle_observation_summary(relations: dict, invocations: dict, original_by_item: dict,
+                                  workspace: str) -> dict:
+    """Audit retained evidence presence, without qualifying clocks, capture, or accounting."""
+    def bounded(values):
+        ordered = sorted(values)
+        def render(value):
+            # Bound display independently of producer input acceptance. Keep
+            # full identities for joins, sorting, duplicate detection and counts.
+            encoded = json.dumps(value, ensure_ascii=True, separators=(",", ":")).encode("ascii")
+            if len(encoded) <= 512:
+                return value
+            return {"prefix": value[:48], "characters": len(value),
+                    "jsonSha256": hashlib.sha256(encoded).hexdigest()}
+        return {"count": len(ordered), "sample": [render(value) for value in ordered[:20]],
+                "omitted": max(0, len(ordered) - 20)}
+
+    def text(value):
+        # Match requiredText/optionalText's String.IsNullOrWhiteSpace, including
+        # Unicode separators, without inventing an identity/outcome length cap.
+        return isinstance(value, str) and any(
+            char not in "\t\n\v\f\r\u0085" and unicodedata.category(char) not in ("Zs", "Zl", "Zp")
+            for char in value)
+
+    def timestamp(value):
+        # Match TelemetryStore.validTimestamp's shape before calendar/offset
+        # validation. fromisoformat alone admits additional non-RFC3339 forms.
+        if not isinstance(value, str):
+            raise Refusal("lifecycle timestamp is malformed")
+        match = re.fullmatch(
+            r"([0-9]{4}-[0-9]{2}-[0-9]{2}T[0-9]{2}:[0-9]{2}:[0-9]{2})(?:\.([0-9]+))?(Z|[+-][0-9]{2}:[0-9]{2})",
+            value)
+        if match is None:
+            raise Refusal("lifecycle timestamp is malformed")
+        try:
+            if (int(match[1][11:13]) >= 24 or int(match[1][14:16]) >= 60
+                    or int(match[1][17:19]) >= 60):
+                raise ValueError("invalid time of day")
+            if match[3] != "Z" and int(match[3][-2:]) >= 60:
+                raise ValueError("invalid offset minutes")
+            whole = datetime.fromisoformat(match[1] + match[3].replace("Z", "+00:00"))
+            if abs(whole.utcoffset()) > timedelta(hours=14):
+                raise ValueError("DateTimeOffset range exceeded")
+            utc = whole.astimezone(timezone.utc)
+            # DateTimeOffset.TryParse rounds the parsed fractional second to
+            # ticks before its local/UTC range checks. A carry at year9999 is
+            # invalid even when parsing the whole second alone succeeds.
+            if match[2] and round(float("0." + match[2]) * 10000000) == 10000000:
+                (whole + timedelta(seconds=1)).astimezone(timezone.utc)
+        except (ValueError, OverflowError) as error:
+            raise Refusal("lifecycle timestamp is malformed") from error
+        # Preserve fractional ordering without Python's microsecond truncation
+        # or floating point rounding. This is still only a raw order warning.
+        return (utc.toordinal() * 86400 + utc.hour * 3600 + utc.minute * 60 + utc.second,
+                (match[2] or "").rstrip("0"))
+
+    def integer(value):
+        return type(value) is int and value >= 0
+
+    identities = set()
+    missing_identities = Counter()
+
+    def own_row(row, relation):
+        invocation, item = row.get("invocation_id"), row.get("item_id")
+        if (not text(invocation) or not text(item) or invocation not in invocations
+                or original_by_item.get(item) != invocations[invocation][0]):
+            raise Refusal("lifecycle row has no own admitted invocation: " + relation)
+        if any(row.get(key, workspace) != workspace for key in ("workspaceId", "workspace_id")):
+            raise Refusal("cross-workspace lifecycle join is forbidden")
+        identity = row.get("identity")
+        # Older retained summaries may omit identity/outcome columns. Preserve
+        # their presence without promoting them to complete retained evidence.
+        if "identity" not in row:
+            missing_identities[relation] += 1
+        elif not text(identity) or identity in identities:
+            raise Refusal("lifecycle fact identity is malformed or duplicated")
+        else:
+            identities.add(identity)
+        return invocation
+
+    starts = {phase: Counter() for phase in ("process", "thread", "turn")}
+    semantic_keys = set()
+    for row in relations.get("starts", []):
+        invocation = own_row(row, "starts")
+        phase = row.get("phase")
+        if not isinstance(phase, str) or phase not in starts or not integer(row.get("process_id")):
+            raise Refusal("lifecycle start phase/process identity is malformed")
+        for name in ("thread_id", "turn_id"):
+            if row.get(name) is not None and not text(row[name]):
+                raise Refusal("lifecycle start thread/turn identity is malformed")
+        sequence = row.get("turn_sequence")
+        if sequence is not None and not integer(sequence):
+            raise Refusal("lifecycle start turn sequence is malformed")
+        if phase == "turn" and (row.get("thread_id") is None or sequence is None):
+            raise Refusal("lifecycle turn start requires thread and sequence")
+        # Match the receiver's actual partial unique indexes. Neither phase nor
+        # PID is a uniqueness key; multiple processes, threads and turns survive.
+        key = None
+        if phase == "thread" and row.get("thread_id") is not None:
+            key = (phase, invocation, row["thread_id"])
+        elif phase == "turn":
+            key = (phase, invocation, row["thread_id"], sequence)
+        if key is not None:
+            if key in semantic_keys:
+                raise Refusal("duplicate lifecycle thread/turn start key")
+            semantic_keys.add(key)
+        starts[phase][invocation] += 1
+
+    terminals = set()
+    outcomes = Counter()
+    unknown_outcomes = set()
+    for row in relations.get("terminals", []):
+        invocation = own_row(row, "terminals")
+        if invocation in terminals:
+            raise Refusal("duplicate runtime terminal invocation")
+        terminals.add(invocation)
+        if "outcome" not in row:
+            unknown_outcomes.add(invocation)
+            outcomes["unknown"] += 1
+        elif not text(row["outcome"]):
+            raise Refusal("lifecycle terminal outcome is malformed")
+        else:
+            outcome = row["outcome"]
+            outcomes[outcome if outcome in ("completed", "failed", "cancelled") else "other"] += 1
+        if "exit_code" in row and not integer(row["exit_code"]):
+            raise Refusal("lifecycle terminal exit code is malformed")
+        if row.get("thread_id") is not None and not text(row["thread_id"]):
+            raise Refusal("lifecycle terminal thread identity is malformed")
+
+    times = {event: defaultdict(list) for event in ("admission", "start", "terminal")}
+    time_counts = {event: Counter() for event in times}
+    order_warnings = set()
+    for row in relations.get("times", []):
+        invocation = own_row(row, "times")
+        event = row.get("event")
+        if not isinstance(event, str) or event not in times:
+            raise Refusal("lifecycle time event is malformed")
+        parsed = {}
+        for prefix in ("occurred", "observed"):
+            value, clock = row.get(prefix + "_at"), row.get(prefix + "_clock_provenance")
+            if clock is not None and clock not in ("host-wall", "provider-native", "github-native"):
+                raise Refusal("lifecycle clock provenance is malformed")
+            if value is not None:
+                parsed[prefix] = timestamp(value)
+                time_counts[event][prefix + "Present"] += 1
+            if clock is not None:
+                time_counts[event][prefix + "ClockPresent"] += 1
+        # A label is not an authenticated clock domain. Report only apparent
+        # within-row ordering, never durations, causal order or comparability.
+        if (len(parsed) == 2 and row.get("occurred_clock_provenance") is not None
+                and row.get("occurred_clock_provenance") == row.get("observed_clock_provenance")
+                and parsed["occurred"] > parsed["observed"]):
+            order_warnings.add(invocation + ":" + event)
+        times[event][invocation].append(row)
+
+    def presence(present, relation):
+        return {"present": len(present), "missing": bounded(set(invocations) - set(present))
+                if relation in relations else None}
+
+    return {
+        "scope": "advisory-selected-snapshot-evidence-only",
+        "admittedInvocations": len(invocations),
+        "relations": {name: "present" if name in relations else "unavailable"
+                      for name in ("starts", "terminals", "times")},
+        "startRowsByPhase": {phase: sum(counts.values()) for phase, counts in starts.items()},
+        "processStartPresence": presence(starts["process"], "starts"),
+        "multipleProcessStarts": bounded(invocation for invocation, count in starts["process"].items() if count > 1),
+        "terminalPresence": presence(terminals, "terminals"),
+        "terminalOutcomes": {outcome: outcomes[outcome] for outcome in ("completed", "failed", "cancelled", "other", "unknown")},
+        "unknownTerminalOutcomes": bounded(unknown_outcomes),
+        "rowsWithoutRetainedIdentity": {name: missing_identities[name] for name in ("starts", "terminals", "times")},
+        "timestamps": {event: {
+            "rows": sum(map(len, observations.values())),
+            **{key: time_counts[event][key] for key in ("occurredPresent", "observedPresent", "occurredClockPresent", "observedClockPresent")},
+            "eventPresence": presence(observations, "times"),
+            "multipleObservations": bounded(invocation for invocation, rows in observations.items() if len(rows) > 1),
+            "differingOccurrenceObservations": bounded(
+                invocation for invocation, rows in observations.items()
+                if len({(row.get("occurred_at"), row.get("occurred_clock_provenance"))
+                        for row in rows if row.get("occurred_at") is not None}) > 1),
+        } for event, observations in times.items()},
+        "apparentTimestampOrderWarnings": bounded(order_warnings),
+        "clockComparability": "unverified",
+        "waitCoverage": "unknown", "criticalPath": "not-evaluated",
+        "nativePopulationCoverage": "not-assessed",
+    }
+
+
 def analyze_private_snapshot(contract: dict, envelope: dict, *, _protected_captures: list | None = None) -> dict:
     """Derive assigned-treatment token coverage only from one retained private snapshot."""
     content, workspace = decode_private_snapshot(envelope)
+    lifecycle_rows = lifecycle_relations(content)
     verified_invocations = verified_capture_invocations(content, _protected_captures) if _protected_captures is not None else set()
     learning_rows = content.get("learningObservations", [])
     try:
@@ -1109,6 +1309,7 @@ def analyze_private_snapshot(contract: dict, envelope: dict, *, _protected_captu
         if invocation in terminal:
             raise Refusal("duplicate runtime terminal invocation")
         terminal.add(invocation)
+    lifecycle_summary = lifecycle_observation_summary(lifecycle_rows, invocations, original_by_item, workspace)
     gaps = defaultdict(set)
     for row in content.get("runtimeGaps", []):
         invocation = row.get("invocation_id")
@@ -1577,6 +1778,7 @@ def analyze_private_snapshot(contract: dict, envelope: dict, *, _protected_captu
         "workspaceId": workspace,
         "snapshotRevision": envelope["revision"],
         "causalObservation": causal_summary,
+        "lifecycleObservation": lifecycle_summary,
         **observation_result,
         "assignedOriginalItemsByArm": {
             arm: sum(1 for value in arms.values() if value == arm) for arm in ("current", "focused")