Audit Log
Immutable change log. Every probability update, intake apply, validation adjudication, and bulk operation writes a row here with structured before/after JSON. Use these records to reconstruct any historical state. ← Ops
Total entries
712
Filtered
323
page 4 / 4
Distinct actions
33
Distinct kinds
16
Filters
Action
Allauto_corroborate.rundoc_node_link.bulk_confirmdoc_node_link.confirmedges.isolated_high_conv_linkedges.phase2a_strength_gradingedges.scenario_correlate_backfilledges.weight_tune_v1intake.appliedkappa_decay_runlbp.completednode.bulk_resolution_fixnode.bulk_updatenode.metadata_milestone_missnode.milestone_missnodes.metadata.display_datenodes.metadata.milestonesnodes.metadata.milestones.phase2nodes.metadata.resolved_atprediction_conflicts.runprediction.recalibration_candidate.stagepredictions.december_dispersalpredictions.scenario_assignmentpredictions.tier3_reviewpredictors.brier_recomputerecommendations.bulk_importrecommendations.refresh.runreference_class_base_rate_refreshreference_class.overrideresearch_event_pack.applyresolution_history.backfillscenario.bulk_createsource_reliability.seedtrajectories.create_correlate_edges
Target kind
Actor (top 50)
Allapply_llm_milestonesapply_low_confidence_decisionsassign_predictions_to_scenariosbackfill_resolution_historybackfill_resolved_atbuild_scenario_pathscodexcompute_brier_scorescompute_display_datesderive_milestonesdisperse_december_bunchingfix_partial_classificationintake:515b84c4-6b29-4d57-8dd6-d41dac…intake:568095f6-eb44-4f96-92d3-13455b…intake:7afeeb9a-f217-4dd2-b910-24ff14…intake:99aa73db-75b1-4b1e-8470-a11f87…intake:c130222f-ab93-4d94-b596-5f4dc7…lbp_run:0c8a4ea3431elbp_run:1a683ac9e205lbp_run:1c6a06976c86lbp_run:592311ef6bcalbp_run:806b02f82f58lbp_run:807dd6f649b1lbp_run:ba893ab6499flbp_run:cd8605f31f33lbp_run:e5c18d29fb42lbp_run:e607fa961f0blbp_run:ffd25072aee9link_trajectories_to_dimensionsmanual_overridemetadata_milestone_sweepmilestone_miss_sweepphase_2A.2_graderphase_2A.3_isolated_linkerphase_2A_backfillphase2_part3_smoke_testphase3_p4_smoke_testphase3_p6_smoke_testseed_source_reliabilitystage_recalibration_candidatessystem:auto_corroboratesystem:decay_predictor_kappasystem:detect_prediction_conflictssystem:import_recommendationssystem:refresh_recommendationssystem:refresh_reference_class_base_r…tune_edge_weights
| When | Actor | Action | Target | Before → After |
|---|---|---|---|---|
| 2026-05-02 22:07:21 | metadata_milestone_sweep | node.metadata_milestone_miss | node:CMQ_061 | view{
"current_prob": 0.05
}{
"delta": -0.006326245054808534,
"reason": "metadata_milestone_miss_sweep bayesian_v2 n=1 inside=0.044 blend=0.044 LLR=-0.142 κ=0.50 no_blend",
"current_prob": 0.04367375494519147,
"n_milestones": 1
} |
| 2026-05-02 22:07:21 | metadata_milestone_sweep | node.metadata_milestone_miss | node:CMQ_062 | view{
"current_prob": 0.66425
}{
"delta": -0.24943358262260085,
"reason": "metadata_milestone_miss_sweep bayesian_v2 n=3 inside=0.415 blend=0.415 LLR=-1.026 κ=0.84 no_blend",
"current_prob": 0.41481641737739916,
"n_milestones": 3
} |
| 2026-05-02 22:07:21 | metadata_milestone_sweep | node.metadata_milestone_miss | node:COD_BIO_001 | view{
"current_prob": 0.7
}{
"delta": -0.2764648111105698,
"reason": "metadata_milestone_miss_sweep bayesian_v2 n=3 inside=0.424 blend=0.424 LLR=-1.156 κ=0.95 no_blend",
"current_prob": 0.42353518888943015,
"n_milestones": 3
} |
| 2026-05-02 22:07:21 | metadata_milestone_sweep | node.metadata_milestone_miss | node:COD_BIO_002 | view{
"current_prob": 0.5
}{
"delta": -0.25700260388614016,
"reason": "metadata_milestone_miss_sweep bayesian_v2 n=3 inside=0.243 blend=0.243 LLR=-1.136 κ=0.95 no_blend",
"current_prob": 0.24299739611385987,
"n_milestones": 3
} |
| 2026-05-02 22:07:21 | metadata_milestone_sweep | node.metadata_milestone_miss | node:COD_SPC_001 | view{
"current_prob": 0.62
}{
"delta": -0.09201422737806819,
"reason": "metadata_milestone_miss_sweep bayesian_v2 n=1 inside=0.528 blend=0.528 LLR=-0.377 κ=0.95 no_blend",
"current_prob": 0.5279857726219318,
"n_milestones": 1
} |
| 2026-05-02 22:07:21 | metadata_milestone_sweep | node.metadata_milestone_miss | node:COD_SPC_003 | view{
"current_prob": 0.35
}{
"delta": -0.08188964202784105,
"reason": "metadata_milestone_miss_sweep bayesian_v2 n=1 inside=0.268 blend=0.268 LLR=-0.385 κ=0.95 no_blend",
"current_prob": 0.26811035797215893,
"n_milestones": 1
} |
| 2026-05-02 22:07:21 | metadata_milestone_sweep | node.metadata_milestone_miss | node:COD_SPC_006 | view{
"current_prob": 0.5
}{
"delta": -0.23512030214640633,
"reason": "metadata_milestone_miss_sweep bayesian_v2 n=3 inside=0.265 blend=0.265 LLR=-1.021 κ=0.95 no_blend",
"current_prob": 0.26487969785359367,
"n_milestones": 3
} |
| 2026-05-02 22:07:21 | metadata_milestone_sweep | node.metadata_milestone_miss | node:COD_SPC_007 | view{
"current_prob": 0.75
}{
"delta": -0.166797877917781,
"reason": "metadata_milestone_miss_sweep bayesian_v2 n=2 inside=0.583 blend=0.583 LLR=-0.763 κ=0.95 no_blend",
"current_prob": 0.583202122082219,
"n_milestones": 2
} |
| 2026-05-02 22:07:21 | metadata_milestone_sweep | node.metadata_milestone_miss | node:CYB_005 | view{
"current_prob": 0.29261
}{
"delta": 0.04568130215626426,
"reason": "metadata_milestone_miss_sweep bayesian_v2 n=2 inside=0.632 blend=0.338 LLR=-0.405 κ=0.50 w_in=0.65 regulatory_freeze_window",
"current_prob": 0.33829130215626424,
"n_milestones": 2
} |
| 2026-05-02 22:07:21 | metadata_milestone_sweep | node.metadata_milestone_miss | node:CYB_008 | view{
"current_prob": 0.78
}{
"delta": -0.04324726431972359,
"reason": "metadata_milestone_miss_sweep bayesian_v2 n=1 inside=0.737 blend=0.737 LLR=-0.237 κ=0.58 no_blend",
"current_prob": 0.7367527356802764,
"n_milestones": 1
} |
| 2026-05-02 22:07:21 | metadata_milestone_sweep | node.metadata_milestone_miss | node:CYB_023 | view{
"current_prob": 0.28598
}{
"delta": -0.042295165307989296,
"reason": "metadata_milestone_miss_sweep bayesian_v2 n=1 inside=0.244 blend=0.244 LLR=-0.218 κ=0.58 no_blend",
"current_prob": 0.24368483469201072,
"n_milestones": 1
} |
| 2026-05-02 22:07:21 | metadata_milestone_sweep | node.metadata_milestone_miss | node:FUT_004 | view{
"current_prob": 0.51815
}{
"delta": -0.2388585457639345,
"reason": "metadata_milestone_miss_sweep bayesian_v2 n=1 inside=0.475 blend=0.279 LLR=-0.172 κ=0.50 w_in=0.34 agi_breakthrough_5y",
"current_prob": 0.2792914542360655,
"n_milestones": 1
} |
| 2026-05-02 22:07:21 | metadata_milestone_sweep | node.metadata_milestone_miss | node:FUT_016 | view{
"current_prob": 0.55
}{
"delta": -0.1010204081632653,
"reason": "metadata_milestone_miss_sweep bayesian_v2 n=2 inside=0.449 blend=0.449 LLR=-0.405 κ=0.50 no_blend",
"current_prob": 0.44897959183673475,
"n_milestones": 2
} |
| 2026-05-02 22:07:21 | metadata_milestone_sweep | node.metadata_milestone_miss | node:IND_003 | view{
"current_prob": 0.75
}{
"delta": -0.2917212897051165,
"reason": "metadata_milestone_miss_sweep bayesian_v2 n=4 inside=0.458 blend=0.458 LLR=-1.266 κ=0.84 no_blend",
"current_prob": 0.4582787102948835,
"n_milestones": 4
} |
| 2026-05-02 22:07:21 | metadata_milestone_sweep | node.metadata_milestone_miss | node:IND_005 | view{
"current_prob": 0.45
}{
"delta": -0.1248731850004487,
"reason": "metadata_milestone_miss_sweep bayesian_v2 n=2 inside=0.325 blend=0.325 LLR=-0.530 κ=0.69 no_blend",
"current_prob": 0.3251268149995513,
"n_milestones": 2
} |
| 2026-05-02 22:07:21 | metadata_milestone_sweep | node.metadata_milestone_miss | node:IND_006 | view{
"current_prob": 0.3753
}{
"delta": -0.048142417746913524,
"reason": "metadata_milestone_miss_sweep bayesian_v2 n=2 inside=0.632 blend=0.327 LLR=-0.405 κ=0.50 w_in=0.64 regulatory_freeze_window",
"current_prob": 0.3271575822530865,
"n_milestones": 2
} |
| 2026-05-02 22:07:21 | metadata_milestone_sweep | node.metadata_milestone_miss | node:IND_007 | view{
"current_prob": 0.38
}{
"delta": -0.07478738909875338,
"reason": "metadata_milestone_miss_sweep bayesian_v2 n=1 inside=0.305 blend=0.305 LLR=-0.333 κ=0.82 no_blend",
"current_prob": 0.30521261090124663,
"n_milestones": 1
} |
| 2026-05-02 22:07:21 | metadata_milestone_sweep | node.metadata_milestone_miss | node:IND_010 | view{
"current_prob": 0.50874
}{
"delta": -0.10031631581675426,
"reason": "metadata_milestone_miss_sweep bayesian_v2 n=2 inside=0.408 blend=0.408 LLR=-0.405 κ=0.50 no_blend",
"current_prob": 0.4084236841832457,
"n_milestones": 2
} |
| 2026-05-02 22:07:21 | metadata_milestone_sweep | node.metadata_milestone_miss | node:IND_011 | view{
"current_prob": 0.63139
}{
"delta": -0.1488807980543035,
"reason": "metadata_milestone_miss_sweep bayesian_v2 n=3 inside=0.483 blend=0.483 LLR=-0.608 κ=0.50 no_blend",
"current_prob": 0.4825092019456965,
"n_milestones": 3
} |
| 2026-05-02 22:07:21 | metadata_milestone_sweep | node.metadata_milestone_miss | node:IND_012 | view{
"current_prob": 0.71751
}{
"delta": -0.07079056350349111,
"reason": "metadata_milestone_miss_sweep bayesian_v2 n=1 inside=0.647 blend=0.647 LLR=-0.327 κ=0.81 no_blend",
"current_prob": 0.6467194364965089,
"n_milestones": 1
} |
| 2026-05-02 22:07:21 | metadata_milestone_sweep | node.metadata_milestone_miss | node:IND_014 | view{
"current_prob": 0.6
}{
"delta": -0.11688120306729544,
"reason": "metadata_milestone_miss_sweep bayesian_v2 n=2 inside=0.483 blend=0.483 LLR=-0.473 κ=0.58 no_blend",
"current_prob": 0.48311879693270454,
"n_milestones": 2
} |
| 2026-05-02 22:07:21 | metadata_milestone_sweep | node.metadata_milestone_miss | node:IND_016 | view{
"current_prob": 0.17614
}{
"delta": 0.076656700656235,
"reason": "metadata_milestone_miss_sweep bayesian_v2 n=2 inside=0.125 blend=0.253 LLR=-0.405 κ=0.50 w_in=0.56 mars_uncrewed_landing_window",
"current_prob": 0.252796700656235,
"n_milestones": 2
} |
| 2026-05-02 22:07:21 | metadata_milestone_sweep | node.metadata_milestone_miss | node:IND_019 | view{
"current_prob": 0.53062
}{
"delta": -0.11732733351145469,
"reason": "metadata_milestone_miss_sweep bayesian_v2 n=2 inside=0.413 blend=0.413 LLR=-0.473 κ=0.58 no_blend",
"current_prob": 0.4132926664885453,
"n_milestones": 2
} |