Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
AutoSAT: Automatically Optimize SAT Solvers via Large Language Models
As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 13 inbound Pith citation observations for arXiv:2402.10705.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-16T05:38:53.260289Z
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 a8345f4b-a01d-4541-8271-5343edac73eb · inbound
BLADE: Benchmark suite for LLM-driven Automated Design and Evolution of iterative optimisation heuristics cites this paper.
BLADE: Benchmark suite for LLM-driven Automated Design and Evolution of iterative optimisation heuristics AutoSAT: Automatically Optimize SAT Solvers via Large Language Models
Reference 29
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T05:38:53.260289Z
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 2026-08-22T06:32:14.747728+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 2026-08-22T06:32:14.747728+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 2026-08-22T06:32:14.747728+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 2026-08-22T06:32:14.747728+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 2026-08-22T06:32:14.747728+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 2026-08-22T06:32:14.747728+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 2026-08-22T06:32:14.747728+00:00.