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Paper Citation Record · LEDGER

Autoformalization with Large Language Models

As of 6 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 14 inbound Pith citation observations for arXiv:2205.12615.

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

pith.paper-citation-record.v1
2205.12615 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 14 of 14 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-05T06:32:48.257954+00:00

measured 14 of 14 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T16:11:23.244019Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T01:47:31.590305Z

Reference resolution

0 of 0 outbound references displayed

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  • verified fuzzy0
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  • 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 f3aabd3d-0875-4ca9-b1bf-c867ef41ff0e · inbound

PAL: Program-aided Language Models cites this paper.

PAL: Program-aided Language Models Autoformalization with Large Language Models

Reference 43

Resolution
verified exact
arxiv_id, observed 2026-05-15T05:02:50.178048Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-15T05:02:50.117120Z digest=sha256:3494b8d57280030d5edc3dabd16e2372886d9e99a4e2bf63019ccdead010d04e

Observation 4124be23-6479-4402-8f03-a57667e26312 · inbound

FormaRL: Enhancing Autoformalization with no Labeled Data cites this paper.

FormaRL: Enhancing Autoformalization with no Labeled Data Autoformalization with Large Language Models

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-05T16:11:23.244019Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T16:11:23.244019Z digest=sha256:5ecdbd2dc548e1944d080c82f8686988c103b0072604a42e15267b994ec399d4

Observation f70e50fb-bb74-4dcc-a44b-c2b56ed1bb00 · inbound

Intermediate Languages Matter: Formal Languages and LLMs affect Neurosymbolic Reasoning cites this paper.

Intermediate Languages Matter: Formal Languages and LLMs affect Neurosymbolic Reasoning Autoformalization with Large Language Models

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-05T10:28:50.463449Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T10:28:50.463449Z digest=sha256:1f506ed6cc389d562ab6399a8f8e1a3843cf5e187092a0e1b4e0eb315ff6ff9c

Observation 3bc2c7c5-4f06-46af-a547-56094bb5cec4 · inbound

Aria: An Agent For Retrieval and Iterative Auto-Formalization via Dependency Graph cites this paper.

Aria: An Agent For Retrieval and Iterative Auto-Formalization via Dependency Graph Autoformalization with Large Language Models

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-04T11:31:39.800237Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T11:31:39.800237Z digest=sha256:853a3fe05ddc5aa106ee4ce2fca96a066bc329ce2d4798bf111dedcc0546e4b6

Observation b12736dc-9fa8-4b40-b024-e6ae2d3a39f0 · inbound

Explicit Formulas and Unimodality Phenomena for General Position Polynomials cites this paper.

Explicit Formulas and Unimodality Phenomena for General Position Polynomials Autoformalization with Large Language Models

Reference 15

Resolution
unresolved
no resolver link, observed 2026-07-15T13:34:28.306715Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-15T13:34:28.306715Z digest=sha256:66bbb0eca34a5074a6626c6a72627e2bf6cb296695715fa5a5e0640a2217cc10

Observation c66521c6-1a2a-44a8-b3ec-2e359c6ad40c · inbound

Evaluating the Formal Reasoning Capabilities of Large Language Models through Chomsky Hierarchy cites this paper.

Evaluating the Formal Reasoning Capabilities of Large Language Models through Chomsky Hierarchy Autoformalization with Large Language Models

Reference 54

Resolution
metadata mismatch
arxiv_id, observed 2026-05-13T19:53:11.733549Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-13T19:51:08.304741Z digest=sha256:c022cd4223abdad2c5e275c94243f84ce61892e374ecbdd1403264155df83748

Observation e7319cdb-1f25-464d-8c2c-4bdad9086e32 · inbound

Lean Atlas: An Integrated Proof Environment for Scalable Human-AI Collaborative Formalization cites this paper.

Lean Atlas: An Integrated Proof Environment for Scalable Human-AI Collaborative Formalization Autoformalization with Large Language Models

Reference 20

Resolution
verified exact
arxiv_id, observed 2026-05-15T10:25:26.593110Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-15T10:24:19.295736Z digest=sha256:196f6a778328b51f10ffce165723965ffadc5b2f5c80300c2fe25c9415363823

Observation 321c1974-fc63-4385-a8e2-8cf495d64709 · inbound

A Learning Method for Symbolic Systems Using Large Language Models cites this paper.

A Learning Method for Symbolic Systems Using Large Language Models Autoformalization with Large Language Models

Reference 47

Resolution
metadata mismatch
arxiv_id, observed 2026-05-12T07:51:48.244525Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-12T01:34:25.378350Z digest=sha256:5874cdec00404217abb228bb97208fe45edd74eb01e9b18caffafdb3b58f950a

Observation d5c77c9f-390e-4fca-9a10-de2d81dd22aa · inbound

MathAtlas: A Benchmark for Autoformalization in the Wild cites this paper.

MathAtlas: A Benchmark for Autoformalization in the Wild Autoformalization with Large Language Models

Reference 37

Resolution
verified exact
arxiv_id, observed 2026-05-15T05:09:44.502291Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-15T05:09:32.268677Z digest=sha256:751c6692a6e3d4c92ac6d217f7001b51f8ffeb2e8bcd3926e0befb41cff8efaa

Observation e317105a-d982-4e70-8239-a1eef98e91d7 · inbound

Automating Formal Verification with Reinforcement Learning and Recursive Inference cites this paper.

Automating Formal Verification with Reinforcement Learning and Recursive Inference Autoformalization with Large Language Models

Reference 81

Resolution
verified exact
arxiv_id, observed 2026-06-28T23:52:49.252473Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-06-28T23:52:36.891080Z digest=sha256:b45174a926952a979a7fd09c08047614a983248e14b58d66d5bef8c1d2210885

Observation 8405e8ee-2a9c-4c44-8126-1c96a098d78d · inbound

LeanMarathon: Toward Reliable AI Co-Mathematicians through Long-Horizon Lean Autoformalization cites this paper.

LeanMarathon: Toward Reliable AI Co-Mathematicians through Long-Horizon Lean Autoformalization Autoformalization with Large Language Models

Reference 31

Resolution
verified exact
arxiv_id, observed 2026-07-02T08:36:48.802943Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-06-28T05:48:56.691155Z digest=sha256:43d7d182da02d8cfd957dcdf07e70d9bc10e2e4cae75186544a28fbff32cec37

Observation d7d69e80-b107-4756-992a-8c6f5ee4d29a · inbound

TheoremBench: Evaluating LLMs on Theorem Proving in Formal Mathematics cites this paper.

TheoremBench: Evaluating LLMs on Theorem Proving in Formal Mathematics Autoformalization with Large Language Models

Reference 34

Resolution
verified exact
arxiv_id, observed 2026-07-03T01:47:31.591557Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-06-27T16:19:11.123994Z digest=sha256:8b153ef9ea6edd442a30f87179d5dd1d91deb4dbc9442ec6592423a70500a3de

Observation 8de37ba0-be9a-428f-bad9-508c0b29a68e · inbound

A Machine-Verified Proof of a Quantum-Optimization Conjecture cites this paper.

A Machine-Verified Proof of a Quantum-Optimization Conjecture Autoformalization with Large Language Models

Reference 7

Resolution
verified exact
arxiv_id, observed 2026-06-30T06:44:19.014644Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-06-30T06:40:20.723937Z digest=sha256:2b80e66971b6c9e2fc68d9abecabf5291612031e5ad6ceb0462372719a4cd56b

Observation 453c6d78-8c64-4301-b6cd-f1bf90d257de · inbound

LeanFlow: A Case Study in Workflow-Driven Lean Autoformalization cites this paper.

LeanFlow: A Case Study in Workflow-Driven Lean Autoformalization Autoformalization with Large Language Models

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-02T09:51:59.422600Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T09:51:59.422600Z digest=sha256:3b94436e64f7dfb8412f91ea4909e8e53123acfe31078bc6fb1b0340dfc7ffad