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142 changes: 142 additions & 0 deletions BRIDGE_LEDGER.json
Original file line number Diff line number Diff line change
@@ -1,9 +1,12 @@
{
"schema_version": 1,
"program_question": "Do restricted correspondences between adaptive dynamical systems support quantitative stability laws and no-refit cross-class transport, or only local coordinate equivalences?",
"phase_ii_outcome": "U3-correspondence-lattice",
"phase_ii_termination_reached": true,
"status_vocabulary": [
"theorem-reproduction",
"exploratory",
"preregistered-unexecuted",
"preregistered-confirmation",
"failure",
"unresolved"
Expand Down Expand Up @@ -227,6 +230,145 @@
"preregistered-confirmation"
],
"what_would_change_interpretation": "A new adaptive class that fails the frozen rule despite adequate support would show pair-specific rather than reusable structure; a support-conditioned angular-bias theorem would strengthen the reusable-class interpretation."
},
{
"id": "acl006-support-conditioned-plugin-bias",
"classes": [
"analytic-categorical-natural-direction",
"finite-sample-empirical-fisher-plugin-direction"
],
"state_map": "one interior three-action policy block with an explicit outside-context sampling category",
"native_geometry": "analytic categorical Fisher metric on the centered-logit tangent",
"ideal_vector_field": "d = F^+ g = r - mean(r) 1, independently defined from the analytic score gradient and Fisher metric",
"realized_estimator": "hat(d) = hat(F)^+ hat(g) from the same fixed-N multinomial count table, undamped with rcond=1e-12",
"scope_assumptions": [
"three strictly positive action probabilities",
"fixed context probability and deterministic rewards",
"true-policy score rows",
"same-count empirical gradient and Fisher",
"no damping, fitted baseline, clipping, state update, or target refit"
],
"transported_prediction": {
"status": "preregistered-confirmation",
"quantity": "exact finite multinomial conditional mean, covariance-normalized Fisher error, angular envelope, and split-half/truth dissociation",
"source": "closed finite count-table law",
"target": "independent PCG64 full-coordinate pseudoinverse implementation",
"target_refit": false,
"bundle": "preregistrations/ACL-006",
"result": "All exact-mean, dissociation, and stochastic contrast gates passed; maximum normalized direction score 1.707381, full-score median 0.609557, and Q90 1.272615.",
"approved_preregistration_sha": "a8b42042e397f1422866a0ca9496ee07abe0a42a",
"evidence_commit": "c94890dc8f361c0309802c0ef0173ec84e814d3d",
"artifact": "evidence/ACL-006-confirmatory-a8b42042e397f1422866a0ca9496ee07abe0a42a.json",
"artifact_sha256": "740c541bbd69db77f6d02327ded34765a37345f907b048f8d3f3a91aebc23918",
"report": "analysis/ACL-006-confirmatory/summary.json",
"report_sha256": "0748482b3796b861267fdb5781bab11605cfc82263e4a6fdbd206df4b96acd6c"
},
"failure_boundary": {
"status": "proved-before-outcomes",
"result": "N p_min alone is insufficient when rare-context and rare-action support are factorized differently; support probabilities and Fisher spectrum without reward geometry are insufficient because additive reward shifts preserve d but generally change E[hat(d)]."
},
"falsifying_observation": "Any locked target whose sampled conditional mean violates its exact covariance-normalized five-score prediction or angular envelope; or any dissociation-stratum target that cannot become split-half aligned while remaining truth-misaligned at the fixed budget.",
"evidence_status": [
"theorem-reproduction",
"preregistered-confirmation"
],
"structural_distance_note": "ACL-006 remains inside the ACL-005 contextual-bandit empirical-Fisher estimator family and adds mechanism, not an independent adaptive class."
},
{
"id": "acl006-plugin-npg-to-sequential-particle-filter-diagnostic",
"classes": [
"contextual-bandit-empirical-fisher-plugin-npg",
"sequential-bayesian-bootstrap-particle-filter"
],
"state_map": "adaptive tangent at a frozen state maps to terminal belief displacement from an initial belief",
"native_geometry": "source categorical Fisher tangent versus target centered Euclidean belief tangent",
"ideal_vector_field": "source analytic natural direction versus target exact true-model Bayes posterior displacement",
"realized_estimator": "source empirical-Fisher pseudoinverse shadow versus target finite labeled-particle bootstrap-filter displacement",
"scope_assumptions": [
"independent estimator shadows around one frozen specification",
"nonzero ideal and estimator-mean directions",
"finite second moment in the declared native metric",
"exact or independently computed estimator expectation and covariance",
"fixed schedule and no target refit"
],
"transported_prediction": {
"status": "preregistered-confirmation",
"quantity": "ACL-006 unchanged standardized mean-error gates and split-consistency/truth-dissociation thresholds",
"source": "ACL-006",
"target": "ACL-007 sequential inference",
"target_refit": false,
"bundle": "preregistrations/ACL-007",
"target_count": 16,
"dissociation_target_ids": ["A06", "A07", "A08"],
"resolvable_contrast_count": 9,
"outcomes_generated": true,
"result": "PASS: all standardized-mean, dissociation, and contrast gates passed; maximum score 1.815369, Type-7 median 0.796407, and Q90 1.212732"
},
"failure_boundary": {
"status": "preregistered-confirmation",
"result": "Three targets had negative truth alignment, down to -0.999797336, while locked dissociation targets reached half cosine at least 0.999994349. The transported rule predicts finite-mean estimation and bias/variance dissociation, not truth alignment or a common detailed bias mechanism."
},
"falsifying_observation": "A preregistered target violates the unchanged ACL-006 normalized mean or dissociation gates despite exact target moments and an independently verified particle simulator.",
"evidence_status": [
"theorem-reproduction",
"preregistered-confirmation"
],
"evidence": {
"approved_preregistration_sha": "0b807af1d0428340f1e5267b1e41f6e636b49d29",
"evidence_commit": "c90954960b0fa099741ed9f35a61c5153b54c923",
"artifact": "evidence/ACL-007-confirmatory-0b807af1d0428340f1e5267b1e41f6e636b49d29.json",
"artifact_sha256": "54793bcb3a40d914bce2b5a567f6d25e638a75edf4a55ef724e156a93d372133",
"report": "analysis/ACL-007-confirmatory/summary.json",
"report_sha256": "b03ba716bcfd8bfbb1e73a64202b11d605812d081c88d2d9077f334032d34166"
},
"structural_distance_note": "Different estimator family, native metric, objective semantics, temporal structure, data generation, and adaptation role; ACL-007 is the first confirmed Phase-II class outside the Fisher-natural family."
},
{
"id": "entropy-fisher-to-burg-mirror-sensitivity",
"classes": [
"entropy-categorical-mirror-dynamics",
"burg-log-barrier-mirror-dynamics"
],
"state_map": "shared interior finite simplex with different mirror retractions",
"native_geometry": "source Hessian diag(1/p) versus target Burg Hessian diag(1/p^2)",
"ideal_vector_field": "exact constrained linear-reward mirror step in each native geometry",
"realized_estimator": "deterministic post-step row-stochastic mutation I+epsilon(M-I)",
"scope_assumptions": [
"interior finite simplex",
"fixed reward and step size",
"smooth constrained mirror map",
"finite horizon",
"no projection or clipping"
],
"transported_prediction": {
"status": "preregistered-confirmation",
"quantity": "ACL-003 zero-fit second-order truncated L1 prediction with unchanged epsilon regions and 10%/20% Type-7 median/Q90 gates",
"source": "ACL-003",
"target": "ACL-008 Burg mirror dynamics",
"target_refit": false,
"bundle": "preregistrations/ACL-008",
"confirmatory_target_count": 16,
"outcomes_generated": true,
"result": "PASS: Type-7 median 0.001965748 and Q90 0.005559435 against unchanged 0.10/0.20 gates"
},
"failure_boundary": {
"status": "preregistered-confirmation",
"result": "Nonuniform stress boundary: at epsilon 0.1 only 13/16 targets improved over first order; median second-order error 0.289224350 and maximum 2.772975981."
},
"falsifying_observation": "New-value Burg targets violate the copied gates or fail to improve over first order throughout the frozen local region.",
"evidence_status": [
"theorem-reproduction",
"preregistered-confirmation"
],
"evidence": {
"approved_preregistration_sha": "086c8187caa641a7699ee07cff540a7d8e77ba18",
"evidence_commit": "c972d886edddc2dd36d60bd8229640a8eec405db",
"artifact": "evidence/ACL-008-confirmatory-086c8187caa641a7699ee07cff540a7d8e77ba18.json",
"artifact_sha256": "856be5ff685d65e19e029fc243a2ef40170ddf64a8b035dd1b543b484e0eba4f",
"report": "analysis/ACL-008-confirmatory/summary.json",
"report_sha256": "403c69904842d0d09ef6d9091b3e5133d684e0a25a084748b5e415770a84b0a1"
},
"structural_distance_note": "Same state space, objective semantics, and perturbation, but genuinely different native geometry and exact retraction; isolates geometry with minimal confounding."
}
]
}
87 changes: 87 additions & 0 deletions BRIDGE_LEDGER.md
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Expand Up @@ -114,3 +114,90 @@ machine-readable source is [`BRIDGE_LEDGER.json`](BRIDGE_LEDGER.json).
- **Failure boundary:** the same statement is false without adequate support. Five of
eight rare-cell stress blocks failed despite apparent convergence.
- **Status:** preregistered cross-class confirmation, restricted by support coverage.

## ACL-006 support-conditioned plug-in bias

- **State map:** one interior three-action policy block plus an explicit outside-context
sampling category.
- **Native geometry:** the analytic categorical Fisher metric on the centered-logit
tangent.
- **Ideal tangent:** `d = F^+ g = r - mean(r) 1`, independently constructed from the
analytic score gradient and Fisher metric.
- **Realized estimator:** `hat(d) = hat(F)^+ hat(g)` from one fixed-`N` multinomial
count table, using the same samples for both empirical objects and no damping.
- **Scope:** deterministic rewards, true-policy scores, three interior actions, fixed
context probability, no fitted baseline, clipping, state update, or target refit.
- **Transported prediction:** **preregistered confirmation.** Exact count-table moments
freeze the conditional mean, covariance-normalized Fisher error, angular envelope,
and split-half/truth dissociation before an independent PCG64 full-coordinate path.
All three gates passed: maximum standardized direction score `1.707381`, full-score
Type-7 median `0.609557`, and Q90 `1.272615`. Seven predeclared targets reached
half-mean cosine at least `0.999995890` while truth cosine was as low as `0.483875705`.
- **Failure boundary:** proved pre-outcome counterexamples show that `N p_min` alone is
insufficient across support factorizations and that support/Fisher spectrum without
reward geometry is insufficient under additive reward shifts.
- **Falsifier:** a locked target outside its five-score exact-mean/angular envelope, or
failure of the predeclared split-consistent but truth-misaligned stratum at the fixed
budget.
- **Evidence:** preregistration SHA `a8b42042e397f1422866a0ca9496ee07abe0a42a`;
evidence SHA-256
`740c541bbd69db77f6d02327ded34765a37345f907b048f8d3f3a91aebc23918`.
- **Status:** theorem/software reproduction plus preregistered mechanism validation. It
remains inside the ACL-005 estimator family and adds no independent breadth class.

## ACL-006 diagnostic → sequential Bayesian particle filtering

- **State map:** a frozen-state stochastic adaptive tangent maps to a terminal posterior-
belief displacement from the initial belief.
- **Native geometry:** categorical Fisher in the source, centered Euclidean belief
geometry in the target.
- **Ideal tangent:** source analytic natural direction versus target exact true-model
Bayes posterior displacement.
- **Realized estimator:** empirical-Fisher pseudoinverse shadows versus a finite labeled-
particle bootstrap-filter displacement.
- **Scope:** independent shadows, nonzero ideal and mean directions, finite native-metric
second moments, independently exact mean/covariance, fixed schedule, and no target fit.
- **Transported prediction:** **preregistered confirmation.** ACL-007 copied ACL-006's
complete standardized mean-error and split-consistency/truth-dissociation rule without
changing thresholds, schedule, or contrast gap. Sixteen frozen targets span two new
HMMs and correct, reversed-observation, flat-observation, and missing-observation
particle filters. All three components passed; the maximum score was `1.815369`,
Type-7 median `0.796407`, and Q90 `1.212732`.
- **Failure boundary:** stable estimator bias survives the diagnostic by design. Three
targets had negative truth alignment, down to `-0.999797336`, while the locked
dissociation cases reached half cosine at least `0.999994349`. The rule predicts
finite-mean estimation and bias/variance dissociation, not truth alignment or a common
detailed bias mechanism.
- **Falsifier:** any locked target outside the copied gates after exact target moments and
the independent labeled-particle simulator have been verified.
- **Evidence:** preregistration SHA `0b807af1d0428340f1e5267b1e41f6e636b49d29`;
evidence commit `c90954960b0fa099741ed9f35a61c5153b54c923`; artifact SHA-256
`54793bcb3a40d914bce2b5a567f6d25e638a75edf4a55ef724e156a93d372133`.
- **Status:** preregistered no-refit cross-class confirmation outside the Fisher-natural
family. It adds real breadth but is not alone a general theory of adaptive dynamics.

## Entropy/Fisher mirror sensitivity → Burg mirror sensitivity

- **State map:** retain the interior probability simplex while changing the mirror
potential from Shannon negative entropy to the Burg log barrier.
- **Native geometry:** `diag(1/p)` entropy/Fisher Hessian in the source versus
`diag(1/p^2)` Burg Hessian in the target; the target update is not exponential.
- **Ideal vector field:** exact constrained linear-reward mirror step in each geometry.
- **Realized perturbation:** the same post-step row-stochastic mutation operator
`I+epsilon(M-I)`.
- **Scope:** interior finite simplex, fixed reward and step size, smooth constrained
mirror map, finite horizon, and no projection or clipping.
- **Transported prediction:** **preregistered confirmation.** ACL-008 copied ACL-003's
zero-fit second-order L1 prediction, epsilon regions, maximum-within-landscape reducer,
and 10%/20% Type-7 median/Q90 gates unchanged. Sixteen new-value Burg targets and an
identity software control passed; median error was `0.001966` and Q90 `0.005559`.
- **Failure boundary:** the radius is not uniform. At epsilon `0.1`, only 13/16 targets
improve over first order; median second-order error is `28.92%` and maximum is
`277.30%` on `B05`.
- **Falsifier:** new-value Burg targets violate the copied gates or fail to improve over
first order throughout the frozen local region.
- **Evidence:** preregistration SHA `086c8187caa641a7699ee07cff540a7d8e77ba18`;
evidence commit `c972d886edddc2dd36d60bd8229640a8eec405db`; artifact SHA-256
`856be5ff685d65e19e029fc243a2ef40170ddf64a8b035dd1b543b484e0eba4f`.
- **Status:** preregistered no-refit cross-geometry confirmation with a nonuniform stress
boundary.
75 changes: 75 additions & 0 deletions PHASE_II_OUTCOME.json
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@@ -0,0 +1,75 @@
{
"schema_version": 1,
"program": "adaptive-correspondence-lab-phase-ii",
"outcome": "U3-correspondence-lattice",
"termination_reached": true,
"universal_adaptive_process_supported": false,
"broadest_supported_claim": "Restricted quantitative laws transport without target refitting inside distinct correspondence subgraphs, but no nontrivial single estimand spans all tested adaptive classes.",
"experiments": [
{
"id": "ACL-006",
"approved_preregistration_sha": "a8b42042e397f1422866a0ca9496ee07abe0a42a",
"evidence_commit": "c94890dc8f361c0309802c0ef0173ec84e814d3d",
"evidence_artifact": "evidence/ACL-006-confirmatory-a8b42042e397f1422866a0ca9496ee07abe0a42a.json",
"evidence_sha256": "740c541bbd69db77f6d02327ded34765a37345f907b048f8d3f3a91aebc23918",
"report_commit": "c8d599fe09887e22fe02f92a27bcc8c13ac4baf4",
"report_summary": "analysis/ACL-006-confirmatory/summary.json",
"report_summary_sha256": "0748482b3796b861267fdb5781bab11605cfc82263e4a6fdbd206df4b96acd6c",
"verdict": "PASS",
"role": "support-bias mechanism confirmation and exact counterexamples inside contextual-bandit plug-in NPG"
},
{
"id": "ACL-007",
"approved_preregistration_sha": "0b807af1d0428340f1e5267b1e41f6e636b49d29",
"evidence_commit": "c90954960b0fa099741ed9f35a61c5153b54c923",
"evidence_artifact": "evidence/ACL-007-confirmatory-0b807af1d0428340f1e5267b1e41f6e636b49d29.json",
"evidence_sha256": "54793bcb3a40d914bce2b5a567f6d25e638a75edf4a55ef724e156a93d372133",
"report_commit": "03424e3bb260ebe45e4fec09a2f3cf60fe5085b6",
"report_summary": "analysis/ACL-007-confirmatory/summary.json",
"report_summary_sha256": "b03ba716bcfd8bfbb1e73a64202b11d605812d081c88d2d9077f334032d34166",
"verdict": "PASS",
"role": "no-refit finite-mean and dissociation diagnostic transport into sequential Euclidean Bayesian inference"
},
{
"id": "ACL-008",
"approved_preregistration_sha": "086c8187caa641a7699ee07cff540a7d8e77ba18",
"evidence_commit": "c972d886edddc2dd36d60bd8229640a8eec405db",
"evidence_artifact": "evidence/ACL-008-confirmatory-086c8187caa641a7699ee07cff540a7d8e77ba18.json",
"evidence_sha256": "856be5ff685d65e19e029fc243a2ef40170ddf64a8b035dd1b543b484e0eba4f",
"report_commit": "66dd4c1b102fe30024e33d1c5ef33bc0269a5980",
"report_summary": "analysis/ACL-008-confirmatory/summary.json",
"report_summary_sha256": "403c69904842d0d09ef6d9091b3e5133d684e0a25a084748b5e415770a84b0a1",
"verdict": "PASS",
"role": "no-refit local second-order curvature transport from entropy/Fisher to Burg mirror geometry"
}
],
"correspondence_subgraphs": [
{
"id": "local-retraction-sensitivity",
"classes": [
"categorical-entropy-fisher-replicator-mwu",
"burg-log-barrier-mirror-optimizer"
],
"transported_law": "zero-fit second-order response to affine post-step mutation",
"boundary": "finite local radius; nonuniform and sometimes catastrophic error at epsilon 0.1"
},
{
"id": "finite-sample-conditional-mean-diagnostics",
"classes": [
"gaussian-rank-mu",
"contextual-bandit-empirical-fisher-npg",
"sequential-bootstrap-particle-filter"
],
"transported_laws": [
"blockwise split-half and analytic Fisher-cosine diagnostic",
"native-metric standardized-mean and split-consistency/truth-dissociation diagnostic"
],
"boundary": "support deficiency and stable estimator bias; self-consistency is not truth certification"
}
],
"global_boundary": {
"stochastic_score_on_deterministic_nodes": "undefined because the covariance normalization is zero",
"curvature_law_on_fixed_state_estimator_nodes": "undefined because no shared epsilon-parameterized twice-differentiable trajectory was specified",
"conclusion": "A single numerical normalization would require adding new structure rather than transporting an already established quantity."
}
}
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