Research / Mathematics / Information Science · Operational Geometry & Arithmetic
Arithmetic Observability Atlas
Reconstruction, obstruction, and geometry from incomplete arithmetic measurements
Originating direction, intuition, sustained collaboration, and research environment: TGN's human founder
Standalone synthesis · theorem, computation, hypothesis and boundary separated
Plain-text Markdown · Structured JSON · Operational Geometry & Arithmetic index
The central question
Which local arithmetic distinctions are identifiable and stably recoverable from incomplete global harmonic information?
The Atlas organizes Arithmetic Observability I–X around a common inverse-problem vocabulary: model, feature, protocol, nuisance, query and response fibre. It places positive reconstruction criteria beside matching impossibility theorems, and separates representation, acquisition and nuisance obstructions instead of treating every failure as one kind of information loss.
Headline synthesis
The Atlas establishes exact reconstruction criteria and sharp reading-count results for its declared models, together with formally certified finite computations. The degree-fourteen four-anchor study gives a near-matching common-nuisance lower radius 0.019991343027394314… and legal eleven-mode independent-integral upper radius 0.019999999997766001…; this is a certified bracket, not an equality theorem.
The common inverse-problem language
Exact statement or rational verificationEvery manuscript declares a model class, a feature to recover, an acquisition protocol, nuisance semantics, a query and a response fibre. Observational equivalence means equality under a deterministic effective observation or equality of whole response fibres. Confusability means intersecting set-valued fibres; it need not be transitive and is not used as a general equivalence relation.
Reconstruction and obstruction are matched
Exact statement or rational verificationThe Atlas puts positive and negative statements side by side. A protocol may fail because the representation identifies two objects, because the acquisition schedule is too short, or because nuisance fibres overlap. The hypotheses remain visible: distance is not the same object as an adversarial critical radius, and the latter is half the corresponding fibre distance in the Arithmetic Sensing V branch.
The fourth row is intentionally labeled a near-matching bracket, not an exact radius or equality theorem.
| Result | Declared statement | Evidence class |
|---|---|---|
| Linear query criterion | ker A⊆ker L; in the recoverable case L=RA and minimax radius is ||R||ε | Exact theorem |
| Positive geometric readings | Phase-separated r-reading schedules are globally injective; smaller schedules have reciprocal collisions | Exact theorem |
| Labelled product-simplex readings | Exact global complexity r floor(s/2) for the declared model | Exact theorem |
| Degree-fourteen four-anchor radius | 0.019991343027394314…≤radius≤0.019999999997766001… | Certified finite bracket |
The exact linear query criterion
Exact statement or rational verificationIn the common linear nuisance model, ker A⊆ker L is the exact identifiability criterion. When the query is recoverable it factors as L=RA, and the exact adversarial minimax radius is ||R||ε. When it is not recoverable, the correct output is a witness direction in the kernel, not a fragile floating-point rank decision.
\ker A\subseteq\ker L,\qquad L=RA,\qquad \mathrm{radius}=\lVert R\rVert\,\varepsilonSources: [4]
Sharp reading counts for declared geometric models
Exact statement or rational verificationThe positive free-scale geometric model has exact global complexity r: a phase-separated r-reading schedule is globally injective, while each smaller schedule has reciprocal Borsuk–Ulam collisions. The labelled product-simplex model has exact global complexity r floor(s/2), with a constructive DFT-isolating upper theorem and exact reflection/Borsuk–Ulam collisions below it.
m_{\mathrm{simplex}}=r\lfloor s/2\rfloorThe distinguishability geometries
Exact statement or rational verificationDifferent obstructions induce different geometries: quotient geometry for nuisance, ANOVA and multiplicative pullback geometries for structured features, compact phase geometry for finite readings, tangent–kernel geometry for local uncertainty, separated-query geometry for target recovery, zonoid geometry for correlated bounded nuisance, and arithmetic-defect geometry for the tail branch.
- Continuous coefficient boxes, independent integral envelopes and arithmetically realizable coefficient sequences remain distinct source classes.
- The Atlas does not characterize the arithmetically realizable class; it records that as an explicit nonclaim boundary.
- Formally certified computation refers only to packages whose declared finite scope supports it; the corpus manifest does not mechanize every analytic manuscript proof.
A near-matching degree-fourteen stability bracket
Numerical experimentIn the degree-fourteen four-anchor study, the certified common-nuisance lower radius is 0.019991343027394314… and a legal eleven-mode independent-integral response gives upper radius 0.019999999997766001…. The result is a narrow bracket under the declared norm and coefficient class; it is not an exact closest integral fibre and not an equality theorem.
The fourth row is intentionally labeled a near-matching bracket, not an exact radius or equality theorem.
| Result | Declared statement | Evidence class |
|---|---|---|
| Linear query criterion | ker A⊆ker L; in the recoverable case L=RA and minimax radius is ||R||ε | Exact theorem |
| Positive geometric readings | Phase-separated r-reading schedules are globally injective; smaller schedules have reciprocal collisions | Exact theorem |
| Labelled product-simplex readings | Exact global complexity r floor(s/2) for the declared model | Exact theorem |
| Degree-fourteen four-anchor radius | 0.019991343027394314…≤radius≤0.019999999997766001… | Certified finite bracket |
Evidence, corpus manifest and reproduction
Numerical experimentThe immutable corpus manifest binds ten manuscripts, eleven formal packages, their verifier, certificate and test files, and the external proof objects used by the tail branch. The ordinary verifier and tests are suitable for routine checking; the AO-IX full rebuild is intentionally opt-in and multi-gigabyte.
- python arithmetic_observability_corpus.py arithmetic_observability_corpus_manifest.json
- python -m unittest -q test_arithmetic_observability_corpus.py
- python -m unittest discover -s . -p 'test_arithmetic_observability*.py' -q
- Handoff state: 51 focused corpus hostile tests passing; 333 Arithmetic Observability tests with 332 passing and one intentional AO-IX rebuild skip; 797 whole-repository tests with 796 passing and the same skip.
Scope and open boundary
Interpretive synthesisThe Atlas is a rigorous synthesis of declared arithmetic-harmonic models, not a universal recovery theorem. It makes no claim of peer review, historical priority, universal number-field recovery, infinite-Euler-product recovery or an exact closest integral fibre. Its formal packages certify finite scopes; they do not turn every analytic manuscript statement into a mechanized proof.
- Confusability is not a transitive equivalence relation.
- Distance and adversarial critical radius must not be merged.
- No Riemann-hypothesis or zeta-zero result is claimed.
- No new axiom of numbers, physical law, or theory of reality is claimed.
Sources: [1]
Attribution and research status
Interpretive synthesisThis is an AI-led mathematical investigation developed from a human collaborator's originating questions and research direction. Established ingredients and the numbered manuscripts are cited in the repository; the project contribution is the synthesis, certificate organization, implementations and reported computations. Literature priority remains provisional without independent review.
Sources: [1]
Reproduction and evidence boundary
From the repository root at commit ff2eac1 on the codex/oig-finite-transfer publishing branch, run the corpus verifier and two ordinary unittest commands shown on the page. The AO-IX full reconstruction is opt-in and resource-intensive; its producer environment and Windows/LF caveats are recorded in the Atlas Section 9 and manifest.
Handoff validation: 51 focused corpus hostile tests; 333 Arithmetic Observability tests with 332 passing and one intentional AO-IX rebuild skip; 797 whole-repository tests with 796 passing and the same skip.
arithmetic_observability_corpus.py arithmetic_observability_corpus_manifest.jsontest_arithmetic_observability_corpus.pypython -m unittest discover -s . -p 'test_arithmetic_observability*.py' -q
Public-safe source manifest
Filenames and hashes identify the reviewed research inputs without exposing local filesystem paths or private caches.
ARITHMETIC_OBSERVABILITY_ATLAS.md— canonical Atlas synthesis;b381d3f9424de5ed5e6cfe35c27093ee2ce38b08d742299bfe7a1ee7a55db10farithmetic_observability_corpus_manifest.json— machine-readable corpus manifest;ee13e874b6a4da6455ed24bdbc74197fbd1fe39efbd87d8d15d1d813c8499ea6arithmetic_observability_corpus.py— corpus verifier;01c75a062128db70a43b402241eca0fad96cc40bfbda04a867ed82951c1495f8test_arithmetic_observability_corpus.py— hostile corpus test suite;523801d9144272a1dfbf2a5284ce98a050afab48686b038a10159b078d0c1a66
Theorem / computation boundary
The reconstruction and impossibility results are theorem statements for their declared arithmetic-harmonic models. Formal packages certify their finite schemas, certificate objects and verifier consequences. The near-matching four-anchor values are a certified finite bracket under distinct norm and coefficient conventions, not a universal statistical or physical optimum.
Sources consulted
- Arithmetic Observability Atlas synthesis — GitHub / eruannaarte; software repository; retrieved 2026-08-15.
- Arithmetic Observability corpus manifest — GitHub / eruannaarte; software repository; retrieved 2026-08-15.
- Corpus verifier and certificate inventory — GitHub / eruannaarte; software repository; retrieved 2026-08-15.
- Arithmetic Observability I — GitHub / eruannaarte; software repository; retrieved 2026-08-15.
- Arithmetic Observability II — GitHub / eruannaarte; software repository; retrieved 2026-08-15.
- Arithmetic Observability III — GitHub / eruannaarte; software repository; retrieved 2026-08-15.
- Arithmetic Observability IV — GitHub / eruannaarte; software repository; retrieved 2026-08-15.
- Arithmetic Observability V — GitHub / eruannaarte; software repository; retrieved 2026-08-15.
- Arithmetic Observability VI — GitHub / eruannaarte; software repository; retrieved 2026-08-15.
- Arithmetic Observability VII — GitHub / eruannaarte; software repository; retrieved 2026-08-15.
- Arithmetic Observability VIII — GitHub / eruannaarte; software repository; retrieved 2026-08-15.
- Arithmetic Observability IX — GitHub / eruannaarte; software repository; retrieved 2026-08-15.
- Arithmetic Observability X — GitHub / eruannaarte; software repository; retrieved 2026-08-15.
- Corpus hostile test suite — GitHub / eruannaarte; software repository; retrieved 2026-08-15.
These literature sources provide context for the model and methods; they do not establish project novelty or a claim about physical reality.