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Paper Citation Record · LEDGER

A Survey on Deep Learning for Theorem Proving

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 16 inbound Pith citation observations for arXiv:2404.09939.

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

pith.paper-citation-record.v1
2404.09939 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 16 of 16 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 16 of 16 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T22:00:46.361538Z

measured 1 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
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  • unresolved0
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  • malformed identifier0
  • metadata mismatch0

External citation measurements

7
pith, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation dc8c34a9-e8ca-41bc-9951-f0caaccb5a84 · inbound

ProofWala: A Framework for Multilingual Proof Data Synthesis and Theorem-Proving cites this paper.

ProofWala: A Framework for Multilingual Proof Data Synthesis and Theorem-Proving A Survey on Deep Learning for Theorem Proving

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-08T22:00:46.361538Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T22:00:46.361538Z digest=sha256:303630a5593453bfd264f75e696e0a213f9a0f629ade7bcf60f94a37dd3c4925

Observation cee872b6-9706-4869-859e-b388a4498c27 · inbound

RAG-Verus: Repository-Level Program Verification with LLMs using Retrieval Augmented Generation cites this paper.

RAG-Verus: Repository-Level Program Verification with LLMs using Retrieval Augmented Generation A Survey on Deep Learning for Theorem Proving

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-08T19:47:52.266487Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T19:47:52.266487Z digest=sha256:18d3941f0eece22d14efa14d86a4c4a4dcc4078ebd1aaa420eb7f7bad5ec94c1

Observation bd89f12f-ed72-490e-b1a4-055e3827d3b3 · inbound

Formally Solving Answer-Construction Problems in Lean cites this paper.

Formally Solving Answer-Construction Problems in Lean A Survey on Deep Learning for Theorem Proving

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-07T14:34:08.226342Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:34:08.226342Z digest=sha256:5551e7419f79280faff6874446fbbfaa5f7e004f889caa04bc234b2f06a6a02a

Observation f256faf9-fe01-498d-9c69-f548f4129518 · inbound

Autoformalization in the Era of Large Language Models: A Survey cites this paper.

Autoformalization in the Era of Large Language Models: A Survey A Survey on Deep Learning for Theorem Proving

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-07T12:49:12.034282Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:49:12.034282Z digest=sha256:580bee65582c808ac60c6497032ccff37de228a74fbdcfd72024376ba5703359

Observation 32c7d1ec-d19b-4f36-967e-b5f21de60a56 · inbound

StepProof: Step-by-step verification of natural language mathematical proofs cites this paper.

StepProof: Step-by-step verification of natural language mathematical proofs A Survey on Deep Learning for Theorem Proving

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-07T04:29:40.066926Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:29:40.066926Z digest=sha256:53d76686f9d05b5a3466a8edd113a22b930a49393b8df6d856a8f39895f6bad6

Observation c8e5f412-f2bf-4604-949b-2f3ac8790455 · inbound

Reviving DSP for Advanced Theorem Proving in the Era of Reasoning Models cites this paper.

Reviving DSP for Advanced Theorem Proving in the Era of Reasoning Models A Survey on Deep Learning for Theorem Proving

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-07T04:09:10.660207Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:09:10.660207Z digest=sha256:fc2e9b9c2eb88c94362374db8130a8593bf2472080fbe358c0cd585e8b3cf0d0

Observation 5eef2327-a35a-4aca-9d21-b3f1438a3d87 · inbound

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

FormaRL: Enhancing Autoformalization with no Labeled Data A Survey on Deep Learning for Theorem Proving

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-05T16:11:23.159080Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T16:11:23.159080Z digest=sha256:87342e1c0b4d8f714327f8b9723849894c8862a9e467d381cddb39ff1313528d

Observation 2e3a2d4a-6399-483b-885c-670c6e7c972e · inbound

An Ontology-Based Approach to Optimizing Geometry Problem Sets for Skill Development cites this paper.

An Ontology-Based Approach to Optimizing Geometry Problem Sets for Skill Development A Survey on Deep Learning for Theorem Proving

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-05T11:30:02.918053Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T11:30:02.918053Z digest=sha256:2e8e9dbf45c9a94aa1ba96db22c2db8067a9b19ff4d2676dae0c599051845a75

Observation b182c3b7-3df4-4b82-aa6d-d164abbc6f10 · inbound

The Search for Constrained Random Generators cites this paper.

The Search for Constrained Random Generators A Survey on Deep Learning for Theorem Proving

Reference 29

Resolution
verified exact
arxiv_id, observed 2026-05-17T22:15:21.833253Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-17T22:14:38.898617Z digest=sha256:2b3a3259a030a934bf8bdb8f0f7b4921e92e5fd61420aec0f230f51780a54ce4

Observation 08a71258-e0d0-428a-b289-657eb98f92c0 · inbound

VeruSAGE: A Study of Agent-Based Verification for Rust Systems cites this paper.

VeruSAGE: A Study of Agent-Based Verification for Rust Systems A Survey on Deep Learning for Theorem Proving

Reference 20

Resolution
verified exact
arxiv_id, observed 2026-05-16T21:08:33.063507Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-16T21:04:11.290943Z digest=sha256:ce1be2c60383fc8a46448f0f6b90ef555a9d9f98b1c874dca4b1dd9a95f108d2

Observation 436c686d-2dcf-460e-b360-184163a28336 · inbound

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

TheoremBench: Evaluating LLMs on Theorem Proving in Formal Mathematics A Survey on Deep Learning for Theorem Proving

Reference 16

Resolution
verified exact
arxiv_id, observed 2026-07-03T01:47:31.584790Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-27T16:19:11.123994Z digest=sha256:00d332bb1dba57ae5ade7c08113bee3231b63ce0afc97a3c97c05aa0c027b024

Observation ca3b3f48-6351-431c-8e94-54e2c2f22731 · inbound

Planning to Hammer: Difficulty-Aware Decomposition for Automating Rocq Proofs cites this paper.

Planning to Hammer: Difficulty-Aware Decomposition for Automating Rocq Proofs A Survey on Deep Learning for Theorem Proving

Reference 14

Resolution
metadata mismatch
arxiv_id, observed 2026-07-03T22:19:00.441703Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-26T23:39:24.268789Z digest=sha256:a67cf490eaabfcf7431d3e394d88891d2cbf92854d02f393a4b79d0e49aa419a

Observation 00c307df-1997-40c7-87ea-d407773e7afd · inbound

Planning to Hammer: Difficulty-Aware Decomposition for Automating Rocq Proofs cites this paper.

Planning to Hammer: Difficulty-Aware Decomposition for Automating Rocq Proofs A Survey on Deep Learning for Theorem Proving

Reference 2024

Resolution
unresolved
no resolver link, observed 2026-08-02T11:07:57.775900Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T11:07:57.775900Z digest=sha256:86098fcc27d63a7c3fce92ac6759ddec7280b18e715a7cd4df2cab9b674e196b

Observation a78e04b2-ced6-44f6-896a-952837376704 · inbound

LAMP: Lean-based Agentic framework with MCP and Proof Repair cites this paper.

LAMP: Lean-based Agentic framework with MCP and Proof Repair A Survey on Deep Learning for Theorem Proving

Reference 19

Resolution
metadata mismatch
arxiv_id, observed 2026-06-30T08:44:27.813953Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-30T08:35:40.617232Z digest=sha256:6ad731524eba9ec4de3880e4a3736ec1062e058390e628c084887dfefb5f3869

Observation 126126d2-8c00-400b-868e-2267c7d95e7f · inbound

FormalRx: Rectify and eXamine Semantic Failures in Autoformalization cites this paper.

FormalRx: Rectify and eXamine Semantic Failures in Autoformalization A Survey on Deep Learning for Theorem Proving

Reference 70

Resolution
unresolved
no resolver link, observed 2026-07-11T15:42:50.296348Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-11T15:42:50.296348Z digest=sha256:6dcf8c1a43ac926070ee49997fe95d53bc8693db28e14a9e03fe02f9df1b4f1e

Observation 489a765b-edb2-4cc3-acea-d0f95b8829f3 · inbound

From Solvers to Research: Large Language Model-Driven Formal Mathematics at the Research Frontier cites this paper.

From Solvers to Research: Large Language Model-Driven Formal Mathematics at the Research Frontier A Survey on Deep Learning for Theorem Proving

Reference 136

Resolution
verified exact
local_arxiv, observed 2026-07-10T18:17:33.787381Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-07-10T18:16:31.176239Z digest=sha256:1ebea0a387f39c0a28c6c5d7bafafece9c68c1b65751615e8b41b123f853ed98