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The dataset viewer is not available for this split.
Cannot load the dataset split (in streaming mode) to extract the first rows.
Error code:   StreamingRowsError
Exception:    CastError
Message:      Couldn't cast
schema_version: int64
release_name: string
release_date: timestamp[s]
repository_target: string
repository_type: string
visibility: string
status: string
primary_result: string
historical_bound: int64
exact_maximum_claimed: int64
sharp_non_pg24_maximum: int64
rigidity_threshold: int64
reproduction: struct<python: string, dependencies: list<item: null>, command: string>
  child 0, python: string
  child 1, dependencies: list<item: null>
      child 0, item: null
  child 2, command: string
keywords: list<item: string>
  child 0, item: string
caveats: list<item: string>
  child 0, item: string
equivalent_problem: string
johnson_notation: string
canonical_problem: string
project: string
claims: list<item: struct<id: string, statement: string, status: string, machine_check: string>>
  child 0, item: struct<id: string, statement: string, status: string, machine_check: string>
      child 0, id: string
      child 1, statement: string
      child 2, status: string
      child 3, machine_check: string
to
{'schema_version': Value('int64'), 'project': Value('string'), 'status': Value('string'), 'canonical_problem': Value('string'), 'equivalent_problem': Value('string'), 'johnson_notation': Value('string'), 'claims': List({'id': Value('string'), 'statement': Value('string'), 'status': Value('string'), 'machine_check': Value('string')}), 'caveats': List(Value('string'))}
because column names don't match
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/utils.py", line 147, in get_rows_or_raise
                  return get_rows(
                      dataset=dataset,
                  ...<4 lines>...
                      column_names=column_names,
                  )
                File "/src/libs/libcommon/src/libcommon/utils.py", line 272, in decorator
                  return func(*args, **kwargs)
                File "/src/services/worker/src/worker/utils.py", line 127, in get_rows
                  rows_plus_one = list(itertools.islice(safe_iter(ds, dataset=dataset), rows_max_number + 1))
                File "/src/services/worker/src/worker/utils.py", line 483, in safe_iter
                  yield from ds.decode(False) if ds.features else ds
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2840, in __iter__
                  for key, example in ex_iterable:
                                      ^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2373, in __iter__
                  for key, pa_table in self._iter_arrow():
                                       ~~~~~~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2398, in _iter_arrow
                  for key, pa_table in self.ex_iterable._iter_arrow():
                                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 536, in _iter_arrow
                  for key, pa_table in iterator:
                                       ^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 419, in _iter_arrow
                  for key, pa_table in self.generate_tables_fn(**gen_kwags):
                                       ~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 343, in _generate_tables
                  self._cast_table(pa_table, json_field_paths=json_field_paths),
                  ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 132, in _cast_table
                  pa_table = table_cast(pa_table, self.info.features.arrow_schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2378, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2306, in cast_table_to_schema
                  raise CastError(
                  ...<3 lines>...
                  )
              datasets.table.CastError: Couldn't cast
              schema_version: int64
              release_name: string
              release_date: timestamp[s]
              repository_target: string
              repository_type: string
              visibility: string
              status: string
              primary_result: string
              historical_bound: int64
              exact_maximum_claimed: int64
              sharp_non_pg24_maximum: int64
              rigidity_threshold: int64
              reproduction: struct<python: string, dependencies: list<item: null>, command: string>
                child 0, python: string
                child 1, dependencies: list<item: null>
                    child 0, item: null
                child 2, command: string
              keywords: list<item: string>
                child 0, item: string
              caveats: list<item: string>
                child 0, item: string
              equivalent_problem: string
              johnson_notation: string
              canonical_problem: string
              project: string
              claims: list<item: struct<id: string, statement: string, status: string, machine_check: string>>
                child 0, item: struct<id: string, statement: string, status: string, machine_check: string>
                    child 0, id: string
                    child 1, statement: string
                    child 2, status: string
                    child 3, machine_check: string
              to
              {'schema_version': Value('int64'), 'project': Value('string'), 'status': Value('string'), 'canonical_problem': Value('string'), 'equivalent_problem': Value('string'), 'johnson_notation': Value('string'), 'claims': List({'id': Value('string'), 'statement': Value('string'), 'status': Value('string'), 'machine_check': Value('string')}), 'caveats': List(Value('string'))}
              because column names don't match

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Hsin-Heart Exact 84: Two-Intersection Families on 21 Points

Exact candidate theorem, complete extremal classification, sharp stability gap, prior-art audit, and replayable verification package.

Headline result

For a family

[ \mathcal F\subseteq {[21]\choose 13} ]

such that every two distinct sets satisfy

[ |A\cap B|\in{7,9}, ]

the release proves the candidate exact value

[ \boxed{|\mathcal F|\le 84}, ]

with equality attained. Equivalently, after complementation,

[ \boxed{A(J^{21,8},{4,6})=84}. ]

The strengthened release additionally gives:

  • complete extremal rigidity: every 84-family lies in the unique self-orthogonal ([21,9,8]) code associated with (PG(2,4));
  • explicit classification of every extremizer by one incident-line choice at each of the 21 projective points;
  • sharp stability: every valid family of size at least 82 lies in the (PG(2,4)) core, while a non-(PG(2,4)) family of size 81 exists;
  • a direct 38-core verification route, replacing the earlier 18,216-shortening route;
  • a wide prior-art and novelty audit.

Scholarly status: this is a reproducible candidate theorem/research release. The included verifier passes, but the result has not yet undergone independent peer review. Classical coding-theory, design-theory, Golay-code, and finite-geometry ingredients are explicitly separated from the claimed new conclusions.

Why this repository exists

This repository is designed for four audiences at once:

  1. Researchers — a compact statement of the theorem, proof architecture, historical context, and references.
  2. Referees / verifiers — deterministic source data, certificates, hashes, and a standard-library verifier.
  3. Search engines — explicit parameter notation and equivalent formulations.
  4. AI agents — machine-readable manifest, claim inventory, file map, reproduction command, and epistemic-status labels.

Equivalent searchable formulations

The same problem may appear under different terminology. This release deliberately indexes all of them:

  • two-intersection family of 13-subsets of a 21-set, intersections (7,9);
  • 8-subsets of a 21-set with pair intersections (2,4);
  • fixed-distance Johnson-space code (J^{21,8}) with distances (4,6);
  • (A(J^{21,8},{4,6}));
  • binary constant-weight-8 code with Hamming distances (8,12);
  • doubly-even ([21,9]) binary-code closure;
  • unique self-orthogonal ([21,9,8]) code;
  • (PG(2,4)) line symmetric differences;
  • Golay / octad / Petersen conflict-graph geometry;
  • Delsarte upper bound 105 for the historical parameter set.

Core theorem package

File Purpose
paper/FINAL_BREAKTHROUGH_Exact84_Rigidity_Stability.md Main strengthened manuscript
verification/hsin84_final_verify.py Standalone deterministic verifier
verification/core38_final_data.json 38 direct maximal doubly-even ([21,9]) representatives and certificates
verification/hsin84_final_certificate.json Frozen theorem and witness certificate
verification/core38_invariants.csv Human-readable 38-core invariant table
prior_art/Prior_Art_Audit_Exact84_21_13_7_9.md Detailed prior-art / novelty audit
prior_art/Prior_Art_Source_Matrix_Exact84.csv Structured source matrix
AGENTS.md Agent-readable orientation and epistemic rules
CLAIMS.json Machine-readable claim inventory
RELEASE.json Release metadata and reproduction entry point
SHA256SUMS.txt Integrity hashes
release/Hsin_Heart_FINAL_Breakthrough_Exact84_Rigidity_Stability.zip Frozen all-in-one archive

Reproduce

Requires Python 3 only; the verifier uses the standard library.

python verification/hsin84_final_verify.py \
  verification/core38_final_data.json \
  verification/hsin84_final_certificate.json

Expected headline output:

PASS
38 direct maximal doubly-even [21,9] core representatives verified
Non-Golay sharp upper: 81
Golay/PG(2,4) exact upper: 84
Extremizers per fixed PG(2,4) core: 476837158203125
84-witness size: 84
81 non-Golay witness size: 81

Main proof architecture

  1. Complement the 13-sets to weight-8 binary incidence vectors.
  2. Pairwise intersections (2,4) imply pairwise binary orthogonality.
  3. Their span is therefore a doubly-even binary code.
  4. The even-weight quadratic space in length 21 has Witt index 9, forcing dimension at most 9.
  5. Every candidate family lies in a maximal doubly-even ([21,9]) core.
  6. A published classification gives exactly 38 permutation classes of such cores.
  7. The release verifies upper certificates over one representative of every class.
  8. Every non-(PG(2,4)) core has maximum at most 81.
  9. The (PG(2,4)) core decomposes its conflict graph into 21 disjoint Petersen graphs, giving (21\cdot4=84).
  10. Equality in every Petersen component forces a star, producing the complete extremizer classification.

New-claim boundary

The release does not claim discovery of the classical ingredients. In particular, the following are prior art and are cited in the manuscript/audit:

  • the historical 105 Delsarte bound;
  • Gosselin's earlier 105-block incidence formulation;
  • Calderbank's quasi-symmetric-design obstruction;
  • doubly-even / self-orthogonal binary-code theory;
  • classification of doubly-even ([21,9]) codes;
  • the unique self-orthogonal ([21,9,8]) code;
  • its (PG(2,4)) realization and Golay-related geometry.

The candidate new conclusions are the exact value 84, the sharp 81/82 rigidity threshold, the problem-specific 21-Petersen decomposition as used here, and the complete selector classification of extremizers.

Citation

A machine-readable CITATION.cff is included. Until external review establishes final bibliographic status, cite this repository by its Hugging Face URL and release commit/revision.

Licensing

This repository uses a mixed license:

  • research prose and tables: CC BY 4.0;
  • verification/source code: MIT;
  • third-party mathematical results remain subject to their original publications and are cited rather than relicensed.

See LICENSE_RESEARCH.txt and LICENSE_CODE.txt.

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