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Paper Citation Record · LEDGER

Towards a Mathematics Formalisation Assistant using Large Language Models

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2211.07524.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2211.07524 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:06:30.094004Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-05-16T13:27:55.869563Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 17ff4aad-6d54-4831-9c44-eac50c3acc1f · inbound

Grammars of Formal Uncertainty: When to Trust LLMs in Automated Reasoning Tasks cites this paper.

Grammars of Formal Uncertainty: When to Trust LLMs in Automated Reasoning Tasks Towards a Mathematics Formalisation Assistant using Large Language Models

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-07T14:06:30.094004Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:06:30.094004Z digest=sha256:81da41b3f3e0ca80426b85045996cb19651b05ff8ebea8350ee8bf4b2b8e1da8

Observation 64645f5a-97bf-414c-bfec-77c2fff01910 · inbound

Faithful and Robust LLM-Driven Theorem Proving for NLI Explanations cites this paper.

Faithful and Robust LLM-Driven Theorem Proving for NLI Explanations Towards a Mathematics Formalisation Assistant using Large Language Models

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-07T12:35:15.731803Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:35:15.731803Z digest=sha256:eac33b798148a600d3a258ea75be0c896531128c5f50d6e66388045eec88c52b

Observation ba3497a7-09ef-4d76-b15b-d68d9c715bdc · inbound

Towards Generating Controllable and Solvable Geometry Problem by Leveraging Symbolic Deduction Engine cites this paper.

Towards Generating Controllable and Solvable Geometry Problem by Leveraging Symbolic Deduction Engine Towards a Mathematics Formalisation Assistant using Large Language Models

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-07T11:26:28.475470Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T11:26:28.475470Z digest=sha256:8a837010321e454f2dc8d28bc02c96630cc2c6cb25ee7b2c3bbdcbbe3b1be2f9

Observation fc61a09e-1e28-4e02-8cb6-4f7688e6e6c6 · inbound

Generalized Tree Edit Distance (GTED): A Faithful Evaluation Metric for Statement Autoformalization cites this paper.

Generalized Tree Edit Distance (GTED): A Faithful Evaluation Metric for Statement Autoformalization Towards a Mathematics Formalisation Assistant using Large Language Models

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-06T18:47:45.296143Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:47:45.296143Z digest=sha256:3bc3e13430509066709ce380eaf9dc1d9adcf270338d9acdafed89d4a11ee579

Observation ccd73dc8-a9aa-4f57-8270-721d9aa78a17 · inbound

AI for Mathematics: Progress, Challenges, and Prospects cites this paper.

AI for Mathematics: Progress, Challenges, and Prospects Towards a Mathematics Formalisation Assistant using Large Language Models

Reference 3

Resolution
verified exact
arxiv_id, observed 2026-05-16T13:27:55.871357Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-16T13:24:57.923863Z digest=sha256:9419abb66242018ac7984e2ca14dde69adfe372932dcfbb0ce56b3e8de66fc18