The Room of Spirit and Time · RoSaT

RoSaT proposes neural perception and abstraction at the entrance to a Soar/STRIPS-inspired symbolic world model. Learned GNN tensor operations, episodic reflection, formal checking and a four-phase curriculum are intended to support data-efficient reasoning. The time chamber supplies a computational metaphor; it does not supply time manipulation or validated acceleration.

Read the material

Material	Role
Complete original	Exact 63,017 bytes, 324 lines, three tables and 75 bibliography entries.
Full assessment	All 39 claims and 85 exact full-slice source passages.
Current catalog	Accepted historical source/review/lead identities.
Historical review guide	Review stages, original bases and registration chronology.
Selected evidence	Exact scoped history, analyses and reconciliation005 context.
Machine record	Separate statuses, five comparisons and a labelled derivative question.
Provenance	Three full-copy origins, record-ID routes and documentary roles.
Rights	Unknown rights and separate material roles.
Manifest	Ten member hashes; manifest externally bound by handoff.
Placement	Eleven unique prospective repository targets and roles.

Read every claim with its kind, status, rationale and declared primary scope. Scientific component support and documentary format correspondence are separate.

Reflection and information

C01–C02, C06, C16–C20, C26–C29, C39. Internal search can exploit a supplied model and prior rules. Count formal language, axioms, microtheories, operators, goals, examples, labels, broad ImageNet/COCO-like meta-training, curriculum and puzzle-generator design. Incremental adaptation is separate from total development cost. Generated predictions, explanations and internal graph facts are not new independent observations.

Historical assessor C39 fixes input/output domains {0,1}, two prior hypotheses that agree on h(0)=0 but differ at 1, and the sole observation (0,0). Auxiliary information and compute budget are identical in both worlds; active queries or external data are excluded. A deterministic learner must predict the same value at 1 in both worlds and errs in one. A randomized learner has the same output distribution and expected accuracy 1/2 under an equal prior. A correct restrictive prior or an observation at 1 can resolve this ambiguity. Reflection can aid search within information; the witness does not establish a general inability to learn.

A stalled curve need not identify the right abstraction. Define progress, termination, hypothesis construction, negative cases and admission/retraction. The red-ball/red-cube example uses two observations and suggests a hypothesis; it does not uniquely determine a general rule.

The four curriculum phases are proposed: symbolic language/GNN/planning/checking, broad meta-training and single-input grounding, ARC abstraction, then unseen hybrid tasks. Keep training/evaluation splits, generator exposure and task priors visible. Strict >99% grounding and >80% hybrid success are targets, with complete traces required for successful hybrid solutions.

Symbolic meaning, learned predictions and effects

C03–C15, C18–C19, C24–C25, C35–C36. Define typed domains, equality, quantification, defaults, microtheory selection/combination, updates and revision. A graph tensor does not itself supply sound entailment or an exact fixed point. Compare indexed rules, Datalog or SAT/SMT and a competent classical planner under the same supplied facts and operator model.

Deterministic numeric execution can represent a probability distribution. The unresolved issue is the interface between learned scores, the illustrated 85%/10%/5% interpretations and checked propositions. A mutually overlapping label set needs joint semantics and calibration. Softened grounding's supplied outcome constraints and supervised Siamese pairs support scoped mechanisms, without arbitrary one-example semantic grounding.

GNNExplainer attributes influential subgraphs/features of a fixed trained prediction; it is not a derivation certificate. Source39 GraphXAIN is a distinct work. ROAR removes ranked features in train/test data and retrains; include that cost and distinguish ranking evaluation, trace faithfulness, task truth and human comprehension. Scoped neural verification is possible in the historical Reluplex check, which does not certify every network or safety property.

Historical C08 gives a consistent KB containing Chair(o) and Chair→Stable while both predicates are false in the actual interpretation. Sound internal deduction can therefore remain externally false. Correct grounding would remove that particular countermodel.

Historical C25 assumes initial states lie in invariant I and every allowed transition preserves I. Induction preserves I along all finite paths and finite prefixes of infinite paths. A sound bounded or incomplete checker may certify a subset and return unknown; permitting only certified transitions requires unknown to cause no transition. This gives no general liveness, solver completeness or arbitrary-proof termination. Physical effects require a valid abstraction, fresh premises and complete mediation.

A modeled plan, accepted proof, selected decision, actual effect and authorized goal are different objects. The source later proposes adversarial uncertainty reporting and end-to-end challenge tests; it does not demand rejecting every perceptual attack. Finite test success and an axiom name do not establish global grounding, alignment or authority.

Resource and metric contracts

C21–C23, C30–C34, C37–C38. Hardware specifications are component facts in historical reading scopes, not workload measurements. Full R&D fit includes training, optimizer/activation/workspace memory, graph/model sizes, resident lifetimes, transfers, CPU/RAM/storage and failed/tuned runs. FP4 speed and adequate precision need task-specific validation.

Historical C23 counts ceil(N²b/8) payload bytes for a dense N×N b-bit adjacency and ceil(P/2) for packed P four-bit weights, before scales, alignment, features and simultaneous residents. Sparse layouts differ. No chosen dimensions or measured fit are supplied by those formulas.

DES prose uses performance/examples-per-concept; the table uses ARQ score and one training example per concept. Preserve the literal denominator; reporting all pretraining/priors is an additional accounting requirement. Historical C31 assumes a shared nonnegative score scale, positive counts and positive baseline score: DES_R/DES_B=(s_R/s_B)(n_B/n_R). Equal scores with n_R=1 give n_B; strict >100 then needs n_B>100. Unequal scores alter that condition. At zero examples the quotient is undefined without another convention. This is assessor algebra, not efficiency measurement.

TI has fidelity and robustness components but no defined aggregate, scale, weights or calibration. Stability alone does not establish faithfulness. ARQ's zero-shot description and later one-example criterion remain distinct. Strict TI>0.95, DES>100×, ARQ>90th human percentile, FSV 100% and CHB<5 seconds are prospective gates. CHB is end-to-end latency for a benchmarkset of complex problems on one RTX5090; fix correctness, included stages, workload, repeats and cold/warm state before measuring it.

Documentary witness and reading routes

The older adopted reconciliation and copied assessment record their then-pending PDF registration. Current records register the 24-page SUP-PDF-ROSAT-67ad220b9f31 alternate-format witness and exactly three documentary edges: R005-R03→C30, R005-R04→C32 and R005-R02→C37. Seven retained assessment observations are a different set. Excluded-live indexing is separate from light triage.

The accepted comparison yielded 48,689 ordered characters after declared rendering normalization and two visually checked row-block reorderings. Pages5–6 keep the HTC continuation and citation7 in column4. Pages17–18 keep CHB methodology in column3 and strict <5-second threshold in column4. The historical full author/reviewer reading and lead spot checks remain attributed; this dossier performs no new PDF campaign. Neither equality nor registration adds independent science or recovers a TI formula.

All five actual simpler_comparisons remain available: presymbolized logic/planning; matched perception; abstract program search/early stopping; explanations; and total-cost/accuracy/calibration/memory Pareto reporting.

One derivative reading question, unexecuted: “Does the reflection and abstraction controller improve held-out abstract-task outcomes over fixed-budget search and standard early stopping under the same DSL, priors and generator exposure?” This question is newly phrased from simpler_comparisons[2]; it is not an original research_questions entry or a proposed executed study.

The three earlier RoSaT snapshots are identical; final metadata changes only review_status/review_records and preserves all science. Joint HEAL/Wikipedia resource-count corrections retain their own scope. Rights unknown, answers exposed, actual repository/commit/platform IDs null, WR-owned Flynn/bp-0046 planned. Current independent review and lead adoption are separate external stages. Owner handoff stays local under the WR communication hold. No new scientific, primary, solver, GPU, source execution, repository or publication action.