docs: regenerate release artifacts for the routine dependency refresh

Both releases regenerated from clean source commit 881176d via the release
wrappers with fixed UTC timestamps (rebuilt on top of the merged docker
digest bump so the release history fast-forwards). The computation stack is
unchanged (pandas 3.0.3; the yanked 3.0.4 was correctly refused), and every
economic CSV, figure, and target-tape hash is byte-identical; the only PDF
content change is the source-tree digest hex in the reproducibility
appendix.

Author: magnaprog

docs/img/performance_manifest.json

@@ -1,18 +1,18 @@
 {
   "schema_version": 4,
-  "generated_at": "2026-07-02T06:57:57Z",
+  "generated_at": "2026-07-02T08:06:29Z",
   "generator": {
     "path": "scripts/generate_report.py",
     "script_sha256": "b536aa7fc5e4fe7df6c7ff28c0992629a489869eaec46486db7aff1cb946099b",
     "git": {
-      "source_commit": "34096ad11c1ae33531186a86961a9e2e883d60a9",
+      "source_commit": "881176debe1573e1154c011eead6aae20bb05232",
       "worktree_clean_at_start": true
     },
     "source_tree": {
-      "sha256": "d0f255e6b88db78b61480a90312e6074b323eca8dd3456dd2a3ec275612f224e",
+      "sha256": "fc50e697979df83828bfffe416bb80da71212ebeef593bbe814c21c7f78753a7",
       "file_count": 109,
       "files": {
-        "poetry.lock": "d4e2e756f8ba3ca67ca0e7592c56d1e3c42303fd8b5af06dd52f25658d9e6ceb",
+        "poetry.lock": "33a3d2cf42b5068cac47961fa13e819a1b5167614cc5ea6984b3ee0dcace1688",
         "pyproject.toml": "eaeeb454c28bf7f6d9e530002bb7e88624b56b6c3e1fcb71e6414045cb9c42a0",
         "quantcortex/__init__.py": "14bf1ebdacd054c3738e4704d33da6709a39206463df8b8ced5376da342c4036",
         "quantcortex/alpha/__init__.py": "e3b0c44298fc1c149afbf4c8996fb92427ae41e4649b934ca495991b7852b855",

paper/build_manifest.json

@@ -1,18 +1,18 @@
 {
   "anonymous_pdf": {
     "path": "quantcortex_audit_anonymous.pdf",
-    "sha256": "74bd8f67606e4bad177b81c49f3818fd2682abceef3b39cb279bb497d5b8d062"
+    "sha256": "d860d3312ec78f7969ee776f9ecbca2e00c010d174a9040e25eba7c364fa12a9"
   },
   "pdf": {
     "path": "quantcortex_audit_neurips2026.pdf",
-    "sha256": "c2a16206747a6f9205396cb040d7cd01d0f5306319570286a218d9072388e7af"
+    "sha256": "6f63c3905a25323efac79e31ac69b6f429da4c34557d0b2cc5dc40d045e3cfbb"
   },
   "schema_version": 1,
-  "source_commit": "34096ad11c1ae33531186a86961a9e2e883d60a9",
-  "source_date_epoch": 1782975290,
+  "source_commit": "881176debe1573e1154c011eead6aae20bb05232",
+  "source_date_epoch": 1782979408,
   "source_manifest": {
     "path": "quantcortex_audit_neurips2026.sources.sha256",
-    "sha256": "e550f507515e06a0ee005ec23b828d0ed346230841a99c718063589249c3d443"
+    "sha256": "459d3518b53b00f7cbd0f1372c6b5090952fd0a4c4560077f47f4d22fd5716e2"
   },
   "tectonic_bundle": {
     "name": "default_bundle_v33.tar",

paper/expansion/results/manifest.json

@@ -163,9 +163,9 @@
       }
     ]
   },
-  "generated_at": "2026-07-02T06:54:51Z",
+  "generated_at": "2026-07-02T08:03:28Z",
   "git": {
-    "source_commit": "34096ad11c1ae33531186a86961a9e2e883d60a9",
+    "source_commit": "881176debe1573e1154c011eead6aae20bb05232",
     "tracked_worktree_clean_at_start": true
   },
   "protocol": {
@@ -180,7 +180,7 @@
     "files": {
       "paper/expansion/protocol.json": "e49e41a12a19fa5404a573ba5e21eb8a2888e616985f8c610d9652866923315c",
       "paper/preregistration.md": "06f4407daed7bcd594e00bbf2751e7bd32c5d00eae530b2a6b2f66625b864162",
-      "poetry.lock": "d4e2e756f8ba3ca67ca0e7592c56d1e3c42303fd8b5af06dd52f25658d9e6ceb",
+      "poetry.lock": "33a3d2cf42b5068cac47961fa13e819a1b5167614cc5ea6984b3ee0dcace1688",
       "pyproject.toml": "eaeeb454c28bf7f6d9e530002bb7e88624b56b6c3e1fcb71e6414045cb9c42a0",
       "quantcortex/__init__.py": "14bf1ebdacd054c3738e4704d33da6709a39206463df8b8ced5376da342c4036",
       "quantcortex/alpha/__init__.py": "e3b0c44298fc1c149afbf4c8996fb92427ae41e4649b934ca495991b7852b855",
@@ -293,6 +293,6 @@
       "scripts/release_expansion_artifacts.sh": "727e7b9c023df48550481f38887624e5c6154217e279af2d4e77da11b93c7400",
       "scripts/run_expansion_experiments.py": "df9932dc67a1e1151faebc5dfd742f0aa622dfcf8093ce5ef9c55d9be4fbaf59"
     },
-    "sha256": "3cea145651a58cdbb70509df5f53c56ff22d6ddf07c3bbe282280940d918777f"
+    "sha256": "dc2ae72b9014519f0c3dc9bc3746e9aa5efd929e5c2cba5e5a8138ca9714ba5a"
   }
 }

paper/quantcortex_audit_anonymous.pdf

@@ -1 +1 @@
-74bd8f67606e4bad177b81c49f3818fd2682abceef3b39cb279bb497d5b8d062  quantcortex_audit_anonymous.pdf
+d860d3312ec78f7969ee776f9ecbca2e00c010d174a9040e25eba7c364fa12a9  quantcortex_audit_anonymous.pdf

paper/quantcortex_audit_anonymous.sha256

@@ -1 +1 @@
-c2a16206747a6f9205396cb040d7cd01d0f5306319570286a218d9072388e7af  quantcortex_audit_neurips2026.pdf
+6f63c3905a25323efac79e31ac69b6f429da4c34557d0b2cc5dc40d045e3cfbb  quantcortex_audit_neurips2026.pdf

paper/quantcortex_audit_neurips2026.pdf

@@ -4,11 +4,11 @@ c2b36aafee0ad2e3ac631e05a5fc1b20e1acce10dd0b4758667f0a809cafff51  checklist.tex
 62609e68cbc90516cf19a46d52f80bf07ab0a4751880e4c078cc9be4ba842a5c  references.bib
 0c1ad36961fcd9198dcc2558cf2793e1df39973bde8264fd701f5e7970672757  neurips_2026.sty
 06f4407daed7bcd594e00bbf2751e7bd32c5d00eae530b2a6b2f66625b864162  preregistration.md
-4cee7de114227526d83abaae47a0c647451a864056955e91d099f846dfc4dfc4  results/generated_values.tex
-046e5cc9146f4344c144b9fa947e8b18d6f8c2b7a2bce26c5cc96f03c4d5576c  results/manifest.json
+004720fada6d46dd1fb4a8877b297f89f44caba3c8a914c295b1fba8779bcc4c  results/generated_values.tex
+74e105be24042107d4c11078b775c58015f3fcedbdabaa078b8c85f71c9ec5a9  results/manifest.json
 e49e41a12a19fa5404a573ba5e21eb8a2888e616985f8c610d9652866923315c  expansion/protocol.json
 2dbaa11bfdd9a1936b45114f61bd96c53e3d57eefe103a75c488352486c0e2f9  expansion/results/generated_values.tex
-8c9cfa381e4382bd7fe45af82e9f9d6a1a4c0503fd35db824053381e5c8d16a8  expansion/results/manifest.json
+4ec2ca8856b070033690339afa219c20e7ba84a25baed9edbc3e43531fe3cb88  expansion/results/manifest.json
 18608aa1250c4554b2e27b507211f764fdf1ec1fb8e4b9f09e080601505e2e3a  figures/accounting_summary.pdf
 6765f7d1f827577ba648af7545d006ef7f005f0091194605c6130100215ac18c  figures/audit_protocol.pdf
 19df4c9eabe88add863ed4be4e9315aa0084b833be9deb4d5bb7633e769ced07  figures/bootstrap_robustness.pdf

paper/quantcortex_audit_neurips2026.sha256

@@ -4,7 +4,7 @@
 \newcommand{\PaperRequiredWarmupSessions}{274}
 \newcommand{\PaperBootstrapReplications}{5,000}
 \newcommand{\PaperInputDigest}{efb384a62157e56a0cd8065abf45c1ed07d90ec26c681e5d54d74fe4cb9c55e1}
-\newcommand{\PaperSourceTreeDigest}{1c05d00cea1d0e9acc5118c3e9302fc50111a327ed15c48e25019a40cecec5b8}
+\newcommand{\PaperSourceTreeDigest}{7dfddd78bc3d88c01b39666be0157aa9e5cb728c9def9bd8f911ce03f4716e27}
 \newcommand{\PaperNetCAGR}{1.40\%}
 \newcommand{\PaperGrossCAGR}{3.17\%}
 \newcommand{\PaperCashCAGR}{2.50\%}

paper/quantcortex_audit_neurips2026.sources.sha256

@@ -20,7 +20,7 @@
     "results/cost_sensitivity.csv": "25b9969cf8ecdabd19e7761ad2973252c9f5b9f994b6dc147595a2a112c24d88",
     "results/engine_comparison.csv": "ea0322dcd2aa4a1eb3b5996045c3a4b2ed25a85684a578ee788b013b99b643cd",
     "results/evaluation_contract.json": "77ee05ce64622ef9ba1bfbd7dae85c4f6fd44f07db0b21feaf6b3e0e418673e7",
-    "results/generated_values.tex": "4cee7de114227526d83abaae47a0c647451a864056955e91d099f846dfc4dfc4",
+    "results/generated_values.tex": "004720fada6d46dd1fb4a8877b297f89f44caba3c8a914c295b1fba8779bcc4c",
     "results/protocol_switches.csv": "20d5a0dc37e07a20c1f2772c8e9940ff6464ef1da98692edd5fdb06531bc2393",
     "results/return_decomposition.csv": "53a84aa9b91c92f0037e48dc09154807cbf003ccf0038f39da8406108bf709cc",
     "results/sharpe_uncertainty.csv": "aead873ced9b25c76c6944aa6e3ba0901ade65c784fa5cb8cc10ad1c6c01f136",
@@ -240,14 +240,14 @@
     "path": "results/evaluation_contract.json",
     "schema_version": 1
   },
-  "generated_at": "2026-07-02T06:57:57Z",
+  "generated_at": "2026-07-02T08:06:29Z",
   "generator": {
     "dependency_lock": {
       "path": "poetry.lock",
-      "sha256": "d4e2e756f8ba3ca67ca0e7592c56d1e3c42303fd8b5af06dd52f25658d9e6ceb"
+      "sha256": "33a3d2cf42b5068cac47961fa13e819a1b5167614cc5ea6984b3ee0dcace1688"
     },
     "git": {
-      "source_commit": "34096ad11c1ae33531186a86961a9e2e883d60a9",
+      "source_commit": "881176debe1573e1154c011eead6aae20bb05232",
       "worktree_clean_at_start": true
     },
     "packages": {
@@ -265,7 +265,7 @@
     "source_tree": {
       "file_count": 112,
       "files": {
-        "poetry.lock": "d4e2e756f8ba3ca67ca0e7592c56d1e3c42303fd8b5af06dd52f25658d9e6ceb",
+        "poetry.lock": "33a3d2cf42b5068cac47961fa13e819a1b5167614cc5ea6984b3ee0dcace1688",
         "pyproject.toml": "eaeeb454c28bf7f6d9e530002bb7e88624b56b6c3e1fcb71e6414045cb9c42a0",
         "quantcortex/__init__.py": "14bf1ebdacd054c3738e4704d33da6709a39206463df8b8ced5376da342c4036",
         "quantcortex/alpha/__init__.py": "e3b0c44298fc1c149afbf4c8996fb92427ae41e4649b934ca495991b7852b855",
@@ -378,7 +378,7 @@
         "scripts/release_paper_artifacts.sh": "fbf68e79be2479e089e638d88923de3aa675dacbfc1e180ffe75b2a05eaecf39",
         "scripts/run_paper_experiments.py": "25010ce7302d1113e48fb7095dabf1e0bb5b283ba9270455cdbf55382718530e"
       },
-      "sha256": "1c05d00cea1d0e9acc5118c3e9302fc50111a327ed15c48e25019a40cecec5b8"
+      "sha256": "7dfddd78bc3d88c01b39666be0157aa9e5cb728c9def9bd8f911ce03f4716e27"
     },
     "threadpools": [
       {