Paper Citation Record · LEDGER

AutoSAT: Automatically Optimize SAT Solvers via Large Language Models

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 12 inbound Pith citation observations for arXiv:2402.10705.

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

pith.paper-citation-record.v1
2402.10705 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 12 of 12 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 12 of 12 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T22:34:34.823173Z

measured 1 of 1 external citation measurements

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

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

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

1
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation e62730de-aaf6-49d0-8c7e-46b6a42a7092 · inbound

Language Models for Code Optimization: Survey, Challenges and Future Directions cites this paper.

Language Models for Code Optimization: Survey, Challenges and Future Directions AutoSAT: Automatically Optimize SAT Solvers via Large Language Models

Reference 123

Resolution: unresolved; no resolver link, observed 2026-08-10T22:34:34.823173Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c1e0671c-5a67-4511-9cb0-cfa087527d1c · inbound

Enhancing Trust in Language Model-Based Code Optimization through RLHF: A Research Design cites this paper.

Enhancing Trust in Language Model-Based Code Optimization through RLHF: A Research Design AutoSAT: Automatically Optimize SAT Solvers via Large Language Models

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-08T14:26:04.471454Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ce1d5194-f6be-40b1-bd60-47776fbb0987 · inbound

STRCMP: Integrating Graph Structural Priors with Language Models for Combinatorial Optimization cites this paper.

STRCMP: Integrating Graph Structural Priors with Language Models for Combinatorial Optimization AutoSAT: Automatically Optimize SAT Solvers via Large Language Models

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-07T14:58:26.912495Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 673a386c-bd32-4c0a-b0d7-6f0c0dd05ff3 · inbound

Discovering heuristics in a complex SAT solver with large language models cites this paper.

Discovering heuristics in a complex SAT solver with large language models AutoSAT: Automatically Optimize SAT Solvers via Large Language Models

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-06T11:18:49.995315Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation da5ff7e8-9aba-48c2-bb34-a88bfafbae74 · inbound

A Systematic Survey on Large Language Models for Evolutionary Optimization: From Modeling to Solving cites this paper.

A Systematic Survey on Large Language Models for Evolutionary Optimization: From Modeling to Solving AutoSAT: Automatically Optimize SAT Solvers via Large Language Models

Reference 156

Resolution: unresolved; no resolver link, observed 2026-08-04T20:55:41.695004Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fd757683-e1cb-4f82-9d6d-d2657da3fdd7 · inbound

IC3-Evolve: Proof-/Witness-Gated Offline LLM-Driven Heuristic Evolution for IC3 Hardware Model Checking cites this paper.

IC3-Evolve: Proof-/Witness-Gated Offline LLM-Driven Heuristic Evolution for IC3 Hardware Model Checking AutoSAT: Automatically Optimize SAT Solvers via Large Language Models

Reference 17

Resolution: verified exact; arxiv_id, observed 2026-05-16T13:27:55.893010Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 82fa6eac-03b7-4da3-97e4-accd82e45e03 · inbound

PyVRP$^+$: LLM-Driven Metacognitive Heuristic Evolution for Hybrid Genetic Search in Vehicle Routing Problems cites this paper.

PyVRP$^+$: LLM-Driven Metacognitive Heuristic Evolution for Hybrid Genetic Search in Vehicle Routing Problems AutoSAT: Automatically Optimize SAT Solvers via Large Language Models

Reference 21

Resolution: verified exact; arxiv_id, observed 2026-05-11T00:45:49.258516Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation efb82260-fce0-4bde-b0da-6067157dfacf · inbound

Agentic MIP Research: Accelerated Constraint Handler Generation cites this paper.

Agentic MIP Research: Accelerated Constraint Handler Generation AutoSAT: Automatically Optimize SAT Solvers via Large Language Models

Reference 16

Resolution: metadata mismatch; arxiv_id, observed 2026-05-12T02:16:16.329182Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 543ff213-807d-42fd-afb7-d68ec3b98a3f · inbound

An Information-Theoretic Criterion for Efficient Data Synthesis cites this paper.

An Information-Theoretic Criterion for Efficient Data Synthesis AutoSAT: Automatically Optimize SAT Solvers via Large Language Models

Reference 33

Resolution: verified exact; arxiv_id, observed 2026-05-20T22:19:07.349622Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 53bba090-2716-451b-8426-70e2c9dff875 · inbound

Large Language Models for Operations Research: A Comprehensive Survey cites this paper.

Large Language Models for Operations Research: A Comprehensive Survey AutoSAT: Automatically Optimize SAT Solvers via Large Language Models

Reference 94

Resolution: verified exact; arxiv_id, observed 2026-05-21T03:59:32.547651Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 7a0c654f-cd17-4f14-9bf1-3cfb14e03f55 · inbound

MiniOpt: Reasoning to Model and Solve General Optimization Problems with Limited Resources cites this paper.

MiniOpt: Reasoning to Model and Solve General Optimization Problems with Limited Resources AutoSAT: Automatically Optimize SAT Solvers via Large Language Models

Reference 4

Resolution: metadata mismatch; arxiv_id, observed 2026-07-04T20:20:07.389894Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 96964318-db12-4208-be14-3f4216845e5a · inbound

MiniOpt: Reasoning to Model and Solve General Optimization Problems with Limited Resources cites this paper.

MiniOpt: Reasoning to Model and Solve General Optimization Problems with Limited Resources AutoSAT: Automatically Optimize SAT Solvers via Large Language Models

Reference 4

Resolution: metadata mismatch; arxiv_id, observed 2026-07-04T13:19:50.722659Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.