THEOREM_MAP.json

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THEOREM_MAP.json

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1 [
2   {
3     "kind": "proposition",
4     "title": "A record determines a target exactly on its fibres",
5     "label": "r:factor",
6     "number": "1.1",
7     "printed_page": "1",
8     "source_lines": [
9       98,
10       106
11     ],
12     "check_group": "r:factor",
13     "admission_edition": "0.1",
14     "status": "KERNEL_CHECKED_BLOCK01",
15     "lean_modules": [
16       "MachineTheory.Behavior"
17     ],
18     "lean_endpoints": [
19       "Komorebi.MachineTheory.decoder_exists_iff",
20       "Komorebi.MachineTheory.no_decoder_of_collision"
21     ]
22   },
23   {
24     "kind": "theorem",
25     "title": "Evidence-initialized behavioral state",
26     "label": "r:behavior",
27     "number": "1.2",
28     "printed_page": "2",
29     "source_lines": [
30       146,
31       157
32     ],
33     "check_group": "r:behavior",
34     "admission_edition": "0.1",
35     "status": "KERNEL_CHECKED_BLOCK01",
36     "lean_modules": [
37       "MachineTheory.Behavior"
38     ],
39     "lean_endpoints": [
40       "Komorebi.MachineTheory.evidence_initialized_predictor_iff",
41       "Komorebi.MachineTheory.Predictor.record_sufficient",
42       "Komorebi.MachineTheory.Predictor.minimal_initialized_card",
43       "Komorebi.MachineTheory.canonical_initialized_card"
44     ]
45   },
46   {
47     "kind": "proposition",
48     "title": "Exact accounting of the discarded excursion",
49     "label": "r:packet",
50     "number": "2.1",
51     "printed_page": "4",
52     "source_lines": [
53       183,
54       192
55     ],
56     "check_group": "r:packet",
57     "admission_edition": "0.1",
58     "status": "KERNEL_CHECKED_BLOCK01",
59     "lean_modules": [
60       "MachineTheory.Transfer"
61     ],
62     "lean_endpoints": [
63       "Komorebi.MachineTheory.split_encoding_comp",
64       "Komorebi.MachineTheory.hidden_return_identity",
65       "Komorebi.MachineTheory.compressed_comp_iff_no_return",
66       "Komorebi.MachineTheory.split_projector_idempotent",
67       "Komorebi.MachineTheory.compression_projector_idempotent"
68     ]
69   },
70   {
71     "kind": "theorem",
72     "title": "Forward transport of a reusable method",
73     "label": "r:transport",
74     "number": "2.3",
75     "printed_page": "5",
76     "source_lines": [
77       204,
78       218
79     ],
80     "check_group": "r:transport",
81     "admission_edition": "0.1",
82     "status": "KERNEL_CHECKED_BLOCK01",
83     "lean_modules": [
84       "MachineTheory.Transfer"
85     ],
86     "lean_endpoints": [
87       "Komorebi.MachineTheory.forward_transport",
88       "Komorebi.MachineTheory.forward_output",
89       "Komorebi.MachineTheory.invariant_forward_transport",
90       "Komorebi.MachineTheory.invariant_forward_output"
91     ]
92   },
93   {
94     "kind": "theorem",
95     "title": "A common observable quotient",
96     "label": "r:common",
97     "number": "2.4",
98     "printed_page": "5",
99     "source_lines": [
100       233,
101       250
102     ],
103     "check_group": "r:common",
104     "admission_edition": "0.1",
105     "status": "KERNEL_CHECKED_BLOCK17",
106     "lean_modules": [
107       "MachineTheory.CommonQuotient",
108       "MachineTheory.CommonQuotientInterface",
109       "MachineTheory.DiscrepancyClosure",
110       "MachineTheory.CommonQuotientExamples"
111     ],
112     "lean_endpoints": [
113       "Komorebi.MachineTheory.CommonQuotient.source_core24",
114       "Komorebi.MachineTheory.CommonQuotient.source_core24_reference",
115       "Komorebi.MachineTheory.CommonQuotient.agreement_iff_invisible",
116       "Komorebi.MachineTheory.CommonQuotient.agreement_iff_commonModel",
117       "Komorebi.MachineTheory.CommonQuotient.switching_output",
118       "Komorebi.MachineTheory.CommonQuotient.stage_finrank_eq"
119     ],
120     "admission_boundary": "Valid only with completed current-source final17/fresh17 gates and production comparison. The finite catalogue, distinguished reference, every initial vector and every word are retained. Current release report supplies actual admission."
121   },
122   {
123     "kind": "proposition",
124     "title": "When complete packets are genuine probability components",
125     "label": "r:positive-packets",
126     "number": "2.5",
127     "printed_page": "6",
128     "source_lines": [
129       267,
130       279
131     ],
132     "check_group": "r:positive-packets",
133     "admission_edition": "0.2",
134     "status": "KERNEL_CHECKED_BLOCK18",
135     "lean_modules": [
136       "MachineTheory.PositivePackets",
137       "MachineTheory.CoordinatePackets",
138       "MachineTheory.PacketTransport",
139       "MachineTheory.PositivePacketExamples"
140     ],
141     "lean_endpoints": [
142       "Komorebi.MachineTheory.PositivePackets.source_core25",
143       "Komorebi.MachineTheory.PositivePackets.sum_positive_weights_one",
144       "Komorebi.MachineTheory.PositivePackets.Coordinate.source_core25_coordinate",
145       "Komorebi.MachineTheory.PositivePackets.Coordinate.classification_iff",
146       "Komorebi.MachineTheory.PositivePackets.Transport.source_coordinate_change"
147     ]
148   },
149   {
150     "kind": "theorem",
151     "title": "Minimal exact memory for a correction contract",
152     "label": "r:memory",
153     "number": "3.1",
154     "printed_page": "8",
155     "source_lines": [
156       314,
157       325
158     ],
159     "check_group": "r:memory",
160     "admission_edition": "0.1",
161     "status": "KERNEL_CHECKED_BLOCK01",
162     "lean_modules": [
163       "MachineTheory.Correction"
164     ],
165     "lean_endpoints": [
166       "Komorebi.MachineTheory.EvidenceAlgebra.signature_congruence",
167       "Komorebi.MachineTheory.EvidenceAlgebra.memory_readout_continuation",
168       "Komorebi.MachineTheory.EvidenceAlgebra.memory_universal_property",
169       "Komorebi.MachineTheory.EvidenceAlgebra.memory_minimal_card",
170       "Komorebi.MachineTheory.EvidenceAlgebra.signature_empty"
171     ]
172   },
173   {
174     "kind": "corollary",
175     "title": "The size of partition correction memory",
176     "label": "r:occupancy",
177     "number": "3.2",
178     "printed_page": "9",
179     "source_lines": [
180       335,
181       340
182     ],
183     "check_group": "r:occupancy",
184     "admission_edition": "0.1",
185     "status": "KERNEL_CHECKED_BLOCK19",
186     "lean_modules": [
187       "MachineTheory.PartitionOccupancy",
188       "MachineTheory.OccupancyBinary",
189       "MachineTheory.OccupancyExamples"
190     ],
191     "lean_endpoints": [
192       "Komorebi.MachineTheory.PartitionCorrection.partition_correction_memory",
193       "Komorebi.MachineTheory.PartitionCorrection.signature_eq_iff_occupancy_eq",
194       "Komorebi.MachineTheory.PartitionCorrection.occupancy_realize",
195       "Komorebi.MachineTheory.PartitionCorrection.fromOccupancy_bijective",
196       "Komorebi.MachineTheory.PartitionCorrection.memoryEquiv_remember",
197       "Komorebi.MachineTheory.PartitionCorrection.card_memory",
198       "Komorebi.MachineTheory.PartitionCorrection.fixed_bits_necessary",
199       "Komorebi.MachineTheory.PartitionCorrection.bits_finite_continuation",
200       "Komorebi.MachineTheory.PartitionCorrection.bits_readout_continuation",
201       "Komorebi.MachineTheory.PartitionCorrection.nonempty_cells_iff_surjective",
202       "Komorebi.MachineTheory.PartitionCorrection.Examples.sensor_signature_count",
203       "Komorebi.MachineTheory.PartitionCorrection.Examples.sensor_no_three_bit_memory"
204     ]
205   },
206   {
207     "kind": "theorem",
208     "title": "When a report preserves every Bayesian correction",
209     "label": "r:bayes",
210     "number": "3.4",
211     "printed_page": "9",
212     "source_lines": [
213       364,
214       385
215     ],
216     "check_group": "r:bayes",
217     "admission_edition": "0.1",
218     "status": "KERNEL_CHECKED_BLOCK02",
219     "lean_modules": [
220       "MachineTheory.Bayes"
221     ],
222     "lean_endpoints": [
223       "Komorebi.MachineTheory.Bayes.ReportingModel.all_iff_full_support_prior",
224       "Komorebi.MachineTheory.Bayes.ReportingModel.all_iff_exists_full_support",
225       "Komorebi.MachineTheory.Bayes.ReportingModel.all_iff_reconstruction",
226       "Komorebi.MachineTheory.Bayes.ReportingModel.reconstructs_of_full_support",
227       "Komorebi.MachineTheory.Bayes.ReportingModel.preservesAll_of_reconstructs"
228     ]
229   },
230   {
231     "kind": "theorem",
232     "title": "Least refinement closed under prediction and correction",
233     "label": "r:joint-refinement",
234     "number": "3.5",
235     "printed_page": "11",
236     "source_lines": [
237       405,
238       422
239     ],
240     "check_group": "r:joint-refinement",
241     "admission_edition": "0.2",
242     "status": "KERNEL_CHECKED_BLOCK02",
243     "lean_modules": [
244       "MachineTheory.BayesianLumping",
245       "MachineTheory.Refinement"
246     ],
247     "lean_endpoints": [
248       "Komorebi.MachineTheory.BayesianLumping.likelihood_constant_on_fibres",
249       "Komorebi.MachineTheory.BayesianLumping.fixed_positive_coarse_iff",
250       "Komorebi.MachineTheory.Refinement.step_rel_iff",
251       "Komorebi.MachineTheory.Refinement.bounded_stabilization",
252       "Komorebi.MachineTheory.Refinement.stopIndex_bound",
253       "Komorebi.MachineTheory.Refinement.stable_iff_prediction",
254       "Komorebi.MachineTheory.Refinement.admissible_iff",
255       "Komorebi.MachineTheory.Refinement.least_prediction_correction_refinement"
256     ]
257   },
258   {
259     "kind": "theorem",
260     "title": "One quotient for reports, posteriors, and feedback",
261     "label": "r:instrument",
262     "number": "3.6",
263     "printed_page": "12",
264     "source_lines": [
265       445,
266       466
267     ],
268     "check_group": "r:instrument",
269     "admission_edition": "0.2",
270     "status": "KERNEL_CHECKED_BLOCK01",
271     "lean_modules": [
272       "MachineTheory.Instrument",
273       "MachineTheory.Feedback"
274     ],
275     "lean_endpoints": [
276       "Komorebi.MachineTheory.Instrument.quotient_exists_iff",
277       "Komorebi.MachineTheory.Instrument.quotient_unique",
278       "Komorebi.MachineTheory.Instrument.instrument_iff_reports_and_posteriors",
279       "Komorebi.MachineTheory.Instrument.quotient_feedback_law",
280       "Komorebi.MachineTheory.Instrument.totalHistoryMass_eq",
281       "Komorebi.MachineTheory.Instrument.positive_history_posterior_dist",
282       "Komorebi.MachineTheory.Instrument.stopped_feedback",
283       "Komorebi.MachineTheory.Instrument.stoppedAndSurvivingMass_eq"
284     ]
285   },
286   {
287     "kind": "proposition",
288     "title": "A whole-history bound with an explicit conditioning cost",
289     "label": "r:history-bound",
290     "number": "3.8",
291     "printed_page": "13",
292     "source_lines": [
293       483,
294       503
295     ],
296     "check_group": "r:history-bound",
297     "admission_edition": "0.2",
298     "status": "KERNEL_CHECKED_BLOCK04",
299     "lean_modules": [],
300     "lean_endpoints": [
301       "Komorebi.MachineTheory.ApproximateHistory.whole_history_bound",
302       "Komorebi.MachineTheory.ApproximateHistory.observed_history_bound",
303       "Komorebi.MachineTheory.ApproximateHistory.conditional_final_bound",
304       "Komorebi.MachineTheory.ApproximateHistory.history_event_positive",
305       "Komorebi.MachineTheory.Variation.condition_bound"
306     ]
307   },
308   {
309     "kind": "theorem",
310     "title": "A decision bound for one actual approximation chain",
311     "label": "r:risk",
312     "number": "4.1",
313     "printed_page": "15",
314     "source_lines": [
315       533,
316       550
317     ],
318     "check_group": "r:risk",
319     "admission_edition": "0.1",
320     "status": "KERNEL_CHECKED_BLOCK05",
321     "lean_modules": [
322       "MachineTheory.ResponseDecision",
323       "MachineTheory.DecisionHistory",
324       "MachineTheory.ResponseExamples"
325     ],
326     "lean_endpoints": [
327       "Komorebi.MachineTheory.ResponseDecision.decision_error_global",
328       "Komorebi.MachineTheory.ResponseDecision.metric_minimizers_exist",
329       "Komorebi.MachineTheory.ResponseDecision.regret_to_minimum",
330       "Komorebi.MachineTheory.ResponseDecision.unique_minimizer_transfer",
331       "Komorebi.MachineTheory.ResponseDecision.risk_threshold"
332     ],
333     "formalization_note": "Bounded metric response error plus total variation on the same finite world set; actual finite minimizers, capped regret, strict-gap uniqueness and risk threshold. Direct conditional-history and stored-record composition included as supporting results."
334   },
335   {
336     "kind": "theorem",
337     "title": "A common artifact for fixed recipients",
338     "label": "r:recipient",
339     "number": "4.2",
340     "printed_page": "16",
341     "source_lines": [
342       565,
343       574
344     ],
345     "check_group": "r:recipient",
346     "admission_edition": "0.1",
347     "status": "KERNEL_CHECKED_BLOCK06",
348     "lean_modules": [
349       "MachineTheory.Recipient",
350       "MachineTheory.RecipientExecution",
351       "MachineTheory.RecipientExamples"
352     ],
353     "lean_endpoints": [
354       "Komorebi.MachineTheory.Recipient.encoder_exists_iff",
355       "Komorebi.MachineTheory.Recipient.cardinality_budget_iff",
356       "Komorebi.MachineTheory.Recipient.minimum_image_eq_cover",
357       "Komorebi.MachineTheory.Recipient.minimum_common_artifact",
358       "Komorebi.MachineTheory.RecipientExecution.Audience.common_artifact_iff"
359     ]
360   },
361   {
362     "kind": "theorem",
363     "title": "Exact joint feasibility for explicit controllers",
364     "label": "r:inquiry",
365     "number": "5.1",
366     "printed_page": "17",
367     "source_lines": [
368       611,
369       618
370     ],
371     "check_group": "r:inquiry",
372     "admission_edition": "0.1",
373     "status": "KERNEL_CHECKED_BLOCK07",
374     "lean_modules": [],
375     "lean_endpoints": [
376       "Komorebi.MachineTheory.HardInquiry.Model.exact_frontier",
377       "Komorebi.MachineTheory.HardInquiry.Model.joint_budget_iff",
378       "Komorebi.MachineTheory.HardInquiry.Model.solve_witness",
379       "Komorebi.MachineTheory.HardInquiry.Model.backup_dominates",
380       "Komorebi.MachineTheory.HardInquiry.Model.compute_eq_solve",
381       "Komorebi.MachineTheory.HardInquiry.Model.execution_sound",
382       "Komorebi.MachineTheory.HardInquiry.Model.worst_coordinate_attained",
383       "Komorebi.MachineTheory.HardInquiry.Model.profile_records",
384       "Komorebi.MachineTheory.HardInquiry.AudienceBridge.recipient_inquiry",
385       "Komorebi.MachineTheory.HardExamples.four_frontier_all",
386       "Komorebi.MachineTheory.HardExamples.four_no_mixed_budget",
387       "Komorebi.MachineTheory.HardControls.sensor_recipient_execution"
388     ]
389   },
390   {
391     "kind": "theorem",
392     "title": "A candidate attaining both lower bounds is optimal",
393     "label": "r:lowerbound",
394     "number": "5.3",
395     "printed_page": "18",
396     "source_lines": [
397       635,
398       642
399     ],
400     "check_group": "r:lowerbound",
401     "admission_edition": "0.1",
402     "status": "KERNEL_CHECKED_BLOCK08",
403     "lean_modules": [],
404     "lean_endpoints": [
405       "Komorebi.MachineTheory.BinaryDiagnosis.binary_lower_bounds",
406       "Komorebi.MachineTheory.BinaryDiagnosis.records_exact",
407       "Komorebi.MachineTheory.BinaryDiagnosis.actual_run_lower_bound",
408       "Komorebi.MachineTheory.BinaryDiagnosis.checked_candidate_closes_frontier",
409       "Komorebi.MachineTheory.BinaryDiagnosis.admitted_frontier",
410       "Komorebi.MachineTheory.BinaryDiagnosis.admitted_budget"
411     ]
412   },
413   {
414     "kind": "theorem",
415     "title": "The same compressed belief supports the same inquiry",
416     "label": "r:belief-planning",
417     "number": "5.4",
418     "printed_page": "20",
419     "source_lines": [
420       664,
421       675
422     ],
423     "check_group": "r:belief-planning",
424     "admission_edition": "0.2",
425     "status": "KERNEL_CHECKED_BLOCK03",
426     "lean_modules": [],
427     "lean_endpoints": [
428       "Komorebi.MachineTheory.Planning.optimal_value_characterization",
429       "Komorebi.MachineTheory.Planning.ExactMap.value_eq",
430       "Komorebi.MachineTheory.Planning.ExactMap.firstValue_eq",
431       "Komorebi.MachineTheory.Planning.ExactMap.optimalFirst_iff",
432       "Komorebi.MachineTheory.Planning.ExactMap.feasible_iff",
433       "Komorebi.MachineTheory.Planning.ExactMap.evaluate_eq",
434       "Komorebi.MachineTheory.Planning.ExactMap.common_minimizing_tree",
435       "Komorebi.MachineTheory.BeliefPlanning.compressed_belief_planning",
436       "Komorebi.MachineTheory.BeliefPlanning.common_optimal_inquiry",
437       "Komorebi.MachineTheory.BeliefPlanning.constructed_quotient_planning",
438       "Komorebi.MachineTheory.Planning.ExactMap.optimalStop_iff"
439     ]
440   },
441   {
442     "kind": "proposition",
443     "title": "Uniform model error controls a changed policy",
444     "label": "r:policy-error",
445     "number": "5.6",
446     "printed_page": "22",
447     "source_lines": [
448       712,
449       730
450     ],
451     "check_group": "r:policy-error",
452     "admission_edition": "0.2",
453     "status": "KERNEL_CHECKED_BLOCK04",
454     "lean_modules": [],
455     "lean_endpoints": [
456       "Komorebi.MachineTheory.ApproximateDecision.same_policy_error",
457       "Komorebi.MachineTheory.ApproximateDecision.uniform_policy_regret",
458       "Komorebi.MachineTheory.ApproximateDecision.minimizing_policies_exist",
459       "Komorebi.MachineTheory.ApproximateDecision.history_policy_error",
460       "Komorebi.MachineTheory.ApproximateDecision.history_selected_policy_regret"
461     ]
462   },
463   {
464     "kind": "proposition",
465     "title": "What finite counterexamples establish",
466     "label": "r:cegis",
467     "number": "6.1",
468     "printed_page": "23",
469     "source_lines": [
470       742,
471       747
472     ],
473     "check_group": "r:cegis",
474     "admission_edition": "0.1",
475     "status": "KERNEL_CHECKED_BLOCK09",
476     "lean_modules": [
477       "MachineTheory.Synthesis",
478       "MachineTheory.SynthesisTrace",
479       "MachineTheory.SynthesisProtocol",
480       "MachineTheory.SynthesisBudget"
481     ],
482     "lean_endpoints": [
483       "Komorebi.MachineTheory.Synthesis.counterexample_guided_synthesis",
484       "Komorebi.MachineTheory.Synthesis.accepted_first",
485       "Komorebi.MachineTheory.Synthesis.exhaustion_iff",
486       "Komorebi.MachineTheory.Synthesis.truthful_call_bound",
487       "Komorebi.MachineTheory.Synthesis.truthful_outcome",
488       "Komorebi.MachineTheory.Synthesis.no_unbounded_truthful_calls",
489       "Komorebi.MachineTheory.Synthesis.resume_bounded",
490       "Komorebi.MachineTheory.Synthesis.bounded_completion_sound"
491     ]
492   },
493   {
494     "kind": "theorem",
495     "title": "Ordered semantic compression preserves the teacher trace",
496     "label": "r:ordered",
497     "number": "6.2",
498     "printed_page": "23",
499     "source_lines": [
500       759,
501       766
502     ],
503     "check_group": "r:ordered",
504     "admission_edition": "0.1",
505     "status": "KERNEL_CHECKED_BLOCK09",
506     "lean_modules": [
507       "MachineTheory.SynthesisQuotient"
508     ],
509     "lean_endpoints": [
510       "Komorebi.MachineTheory.Synthesis.ordered_compression",
511       "Komorebi.MachineTheory.Synthesis.representative_search_complete",
512       "Komorebi.MachineTheory.Synthesis.teacher_work_preserved",
513       "Komorebi.MachineTheory.Synthesis.prepare_value"
514     ]
515   },
516   {
517     "kind": "proposition",
518     "title": "A sound prefix exclusion",
519     "label": "r:prefix",
520     "number": "6.4",
521     "printed_page": "24",
522     "source_lines": [
523       781,
524       788
525     ],
526     "check_group": "r:prefix",
527     "admission_edition": "0.1",
528     "status": "KERNEL_CHECKED_BLOCK10",
529     "lean_modules": [],
530     "lean_endpoints": [
531       "Komorebi.MachineTheory.PrefixScan.integer_completion_iff",
532       "Komorebi.MachineTheory.OrderedCompiler.prefix_exclusion",
533       "Komorebi.MachineTheory.OrderedCompiler.source_prefix_certificate",
534       "Komorebi.MachineTheory.OrderedCompiler.admitted_search_sound_complete",
535       "Komorebi.MachineTheory.OrderedCompiler.admitted_failure_iff_empty_frontier"
536     ]
537   },
538   {
539     "kind": "theorem",
540     "title": "Selective reuse with complete dependencies",
541     "label": "r:dependencies",
542     "number": "7.1",
543     "printed_page": "26",
544     "source_lines": [
545       809,
546       814
547     ],
548     "check_group": "r:dependencies",
549     "admission_edition": "0.1",
550     "status": "KERNEL_CHECKED_BLOCK11",
551     "lean_modules": [
552       "MachineTheory.DependencyGraph",
553       "MachineTheory.Revision",
554       "MachineTheory.RevisionReplay",
555       "MachineTheory.RevisionAdmission",
556       "MachineTheory.RevisionExamples",
557       "MachineTheory.RevisionControls"
558     ],
559     "lean_endpoints": [
560       "Komorebi.MachineTheory.Dependency.System.selective_reuse",
561       "Komorebi.MachineTheory.Dependency.System.restoration",
562       "Komorebi.MachineTheory.Dependency.System.admitted_reuse_and_restoration",
563       "Komorebi.MachineTheory.Dependency.closure_iff_reach"
564     ]
565   },
566   {
567     "kind": "proposition",
568     "title": "Which gains survive every admitted price?",
569     "label": "r:prices",
570     "number": "7.3",
571     "printed_page": "27",
572     "source_lines": [
573       835,
574       840
575     ],
576     "check_group": "r:prices",
577     "admission_edition": "0.1",
578     "status": "KERNEL_CHECKED_BLOCK12",
579     "lean_modules": [],
580     "lean_endpoints": [
581       "Komorebi.MachineTheory.ResourcePrices.all_nonnegative_prices_iff",
582       "Komorebi.MachineTheory.ResourcePrices.finite_price_minimum",
583       "Komorebi.MachineTheory.ResourcePrices.listed_hull_minimizer",
584       "Komorebi.MachineTheory.ResourcePrices.saving_net",
585       "Komorebi.MachineTheory.PriceExamples.priced_scan",
586       "Komorebi.MachineTheory.PriceExamples.robust_reuse_threshold",
587       "Komorebi.MachineTheory.PriceRevision.restored_negative_real_saving"
588     ]
589   },
590   {
591     "kind": "proposition",
592     "title": "A conditional error budget for a lineage",
593     "label": "r:lineage",
594     "number": "7.4",
595     "printed_page": "28",
596     "source_lines": [
597       848,
598       858
599     ],
600     "check_group": "r:lineage",
601     "admission_edition": "0.1",
602     "status": "KERNEL_CHECKED_BLOCK13",
603     "lean_modules": [
604       "MachineTheory.Lineage",
605       "MachineTheory.LineageExamples"
606     ],
607     "lean_endpoints": [
608       "Komorebi.MachineTheory.Lineage.conditional_marginal_bound",
609       "Komorebi.MachineTheory.Lineage.finite_lineage_bound",
610       "Komorebi.MachineTheory.Lineage.lineage_bound",
611       "Komorebi.MachineTheory.Lineage.lineage_ennreal_bound",
612       "Komorebi.MachineTheory.Lineage.selected_lineage_bound",
613       "Komorebi.MachineTheory.Lineage.stopped_selected_lineage_bound",
614       "Komorebi.MachineTheory.Lineage.divergent_real_total_not_union_bound"
615     ]
616   },
617   {
618     "kind": "proposition",
619     "title": "Target-relative joint reconstruction",
620     "label": "r:reconstruction",
621     "number": "8.1",
622     "printed_page": "29",
623     "source_lines": [
624       873,
625       878
626     ],
627     "check_group": "r:reconstruction",
628     "admission_edition": "0.1",
629     "status": "KERNEL_CHECKED_BLOCK14",
630     "lean_modules": [],
631     "lean_endpoints": [
632       "Komorebi.MachineTheory.JointReconstruction.finite_joint_reconstruction",
633       "Komorebi.MachineTheory.JointReconstruction.exists_decoder_iff_ker_le",
634       "Komorebi.MachineTheory.JointReconstruction.exists_decoder_extending_imageDecoder",
635       "Komorebi.MachineTheory.JointReconstruction.full_state_iff_injective",
636       "Komorebi.MachineTheory.JointReconstruction.ker_stackRecords",
637       "Komorebi.MachineTheory.JointReconstruction.stacked_decoder_iff"
638     ]
639   },
640   {
641     "kind": "theorem",
642     "title": "A quotient that preserves legal operations",
643     "label": "r:governance",
644     "number": "8.2",
645     "printed_page": "29",
646     "source_lines": [
647       888,
648       898
649     ],
650     "check_group": "r:governance",
651     "admission_edition": "0.1",
652     "status": "KERNEL_CHECKED_BLOCK15",
653     "lean_modules": [],
654     "lean_endpoints": [
655       "Komorebi.MachineTheory.LegalQuotient.finite_source_legal_quotient",
656       "Komorebi.MachineTheory.LegalQuotient.exists_quotient_iff",
657       "Komorebi.MachineTheory.LegalQuotient.representativeQuotient_factors",
658       "Komorebi.MachineTheory.LegalQuotient.quotient_unique",
659       "Komorebi.MachineTheory.LegalQuotient.ofEnabled_reconstruct",
660       "Komorebi.MachineTheory.LegalQuotient.finite_legal_quotient_sequences",
661       "Komorebi.MachineTheory.LegalQuotient.Factors.execute_map",
662       "Komorebi.MachineTheory.LegalQuotient.Factors.labels_eq",
663       "Komorebi.MachineTheory.LegalQuotient.Factors.lift_execution"
664     ]
665   },
666   {
667     "kind": "theorem",
668     "title": "Safe continuation that retains an ending strategy",
669     "label": "r:ending",
670     "number": "8.3",
671     "printed_page": "30",
672     "source_lines": [
673       918,
674       927
675     ],
676     "check_group": "r:ending",
677     "admission_edition": "0.1",
678     "status": "KERNEL_CHECKED_BLOCK16_RECOVERY",
679     "lean_modules": [
680       "MachineTheory.FiniteFixedPoints",
681       "MachineTheory.SafeEnding",
682       "MachineTheory.SafeEndingPolicies",
683       "MachineTheory.SafeEndingExamples"
684     ],
685     "lean_endpoints": [
686       "Komorebi.MachineTheory.SafeEnding.ending_stabilizes",
687       "Komorebi.MachineTheory.SafeEnding.running_stabilizes",
688       "Komorebi.MachineTheory.SafeEnding.endRank_zero_iff",
689       "Komorebi.MachineTheory.SafeEnding.rank_action",
690       "Komorebi.MachineTheory.SafeEnding.ending_region_iff",
691       "Komorebi.MachineTheory.SafeEnding.safe_continuation_iff",
692       "Komorebi.MachineTheory.SafeEnding.source_core83",
693       "Komorebi.MachineTheory.SafeEnding.command_rank_bound",
694       "Komorebi.MachineTheory.SafeEnding.command_rank_arrival",
695       "Komorebi.MachineTheory.SafeEnding.running_has_infinite_path",
696       "Komorebi.MachineTheory.SafeEnding.ending_prefix_extends"
697     ],
698     "assurance_note": "Admission requires completed current-source final16/fresh16 gates and production comparison. Full-history strategies, deadlock, observable command, first-arrival safety and first-entry rank are explicit. The source hold-at-goal assumption is unnecessary for first-arrival semantics."
699   }
700 ]

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