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Paper Citation Record · LEDGER

Code Execution with Pre-trained Language Models

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 11 inbound Pith citation observations for arXiv:2305.05383.

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

pith.paper-citation-record.v1
2305.05383 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 11 of 11 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 11 of 11 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T23:21:56.471608Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-15T02:33:32.382558Z

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 b4f4e3df-3650-4d3a-8592-4782c91c23d8 · inbound

CRUXEval: A Benchmark for Code Reasoning, Understanding and Execution cites this paper.

CRUXEval: A Benchmark for Code Reasoning, Understanding and Execution Code Execution with Pre-trained Language Models

Reference 4

Resolution
metadata mismatch
arxiv_id, observed 2026-05-14T20:57:16.372435Z

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=2026-05-14T20:57:16.327963Z digest=sha256:0f68c5de4e459435a4cb67c58b17336c192cc68355094a4cb64487791791af17

Observation cd356773-04dc-47ff-9bd9-d19605d6259a · inbound

LiveCodeBench: Holistic and Contamination Free Evaluation of Large Language Models for Code cites this paper.

LiveCodeBench: Holistic and Contamination Free Evaluation of Large Language Models for Code Code Execution with Pre-trained Language Models

Reference 34

Resolution
verified exact
arxiv_id, observed 2026-05-10T17:34:42.997311Z

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=arxiv_source observed=2026-05-10T17:34:42.565806Z digest=sha256:9e619d95b0497d59f4fb0b3b6520f13c43e9a51ae9c6960bad23c259f993623e

Observation d7b3f050-dbff-483e-a258-9dcf214bf9de · inbound

A Tool for In-depth Analysis of Code Execution Reasoning of Large Language Models cites this paper.

A Tool for In-depth Analysis of Code Execution Reasoning of Large Language Models Code Execution with Pre-trained Language Models

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-09T23:21:56.471608Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T23:21:56.471608Z digest=sha256:6823f4607f654834dd786340fb98449fb2a25225f0df024d1d79b9d9405b0da9

Observation c4b0de17-198b-4866-8fdc-3c66a8dd9ae7 · inbound

Code Simulation as a Proxy for High-order Tasks in Large Language Models cites this paper.

Code Simulation as a Proxy for High-order Tasks in Large Language Models Code Execution with Pre-trained Language Models

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-09T04:32:42.487463Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T04:32:42.487463Z digest=sha256:b4e9c31942694aa4fff4c54ed1d9b14a8258ff9c404c3ab656081ddf3998c85c

Observation a6e2de93-8efb-4580-b8d1-f3583059b8dc · inbound

SV-TrustEval-C: Evaluating Structure and Semantic Reasoning in Large Language Models for Source Code Vulnerability Analysis cites this paper.

SV-TrustEval-C: Evaluating Structure and Semantic Reasoning in Large Language Models for Source Code Vulnerability Analysis Code Execution with Pre-trained Language Models

Reference 61

Resolution
unresolved
no resolver link, observed 2026-08-07T13:55:18.438148Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:55:18.438148Z digest=sha256:e5c5772f279ff35ce460aee88eef21ecdb80bbbebffaa37dd53bbe291b706dfd

Observation 391b40e4-5565-48cf-9bc7-65d7aea0051b · inbound

CodeReasoner: Enhancing the Code Reasoning Ability with Reinforcement Learning cites this paper.

CodeReasoner: Enhancing the Code Reasoning Ability with Reinforcement Learning Code Execution with Pre-trained Language Models

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-06T14:50:27.943038Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:50:27.943038Z digest=sha256:acd4371152454bacc7a2d9a80715d97477cb122f2b571af8488ba0a27fef38bd

Observation ef5ff00b-223a-4a75-aaa9-6a0e4c8241df · inbound

Training Transformers as a Universal Computer cites this paper.

Training Transformers as a Universal Computer Code Execution with Pre-trained Language Models

Reference 13

Resolution
verified exact
arxiv_id, observed 2026-05-11T23:36:38.736344Z

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=2026-05-07T16:36:19.729400Z digest=sha256:0cda58b49707ad4a611e01f6e1d1ab8b0ef5aa408b62f357822e4f11ef9127fb

Observation 2575dd0d-d269-40da-8914-6c612ebb7db8 · inbound

Teaching LLMs Program Semantics via Symbolic Execution Traces cites this paper.

Teaching LLMs Program Semantics via Symbolic Execution Traces Code Execution with Pre-trained Language Models

Reference 24

Resolution
verified exact
arxiv_id, observed 2026-05-11T20:26:13.086299Z

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=2026-05-08T08:56:25.022619Z digest=sha256:3bc26a1ed47749c4160b35fe663b0322d17f575cebb3e356d9a11077845833b1

Observation e05c8a5f-8747-44ca-be04-62ea404a95e6 · inbound

StepCodeReasoner: Aligning Code Reasoning with Stepwise Execution Traces via Reinforcement Learning cites this paper.

StepCodeReasoner: Aligning Code Reasoning with Stepwise Execution Traces via Reinforcement Learning Code Execution with Pre-trained Language Models

Reference 42

Resolution
verified exact
arxiv_id, observed 2026-05-13T05:32:20.192915Z

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=arxiv_source observed=2026-05-13T05:27:37.521421Z digest=sha256:d80a597ba0053a0f3213eae0a31fc86ca9b5d80ce9203c8007d019be1d01f8a4

Observation 2fdbb378-c33f-4ef4-8d34-fdcdfa649175 · inbound

SWE-Chain: Benchmarking Coding Agents on Chained Release-Level Package Upgrades cites this paper.

SWE-Chain: Benchmarking Coding Agents on Chained Release-Level Package Upgrades Code Execution with Pre-trained Language Models

Reference 29

Resolution
verified exact
arxiv_id, observed 2026-05-15T02:33:32.384438Z

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=arxiv_source observed=2026-05-15T02:31:18.183715Z digest=sha256:c4fe0f631bf55efe07e4fc610984cbc8ad30767873750ba98dac9429a7d36236

Observation f4b80cde-dddb-4e7a-9ad3-78d7b5d252d8 · inbound

Hierarchical Domain Generalization cites this paper.

Hierarchical Domain Generalization Code Execution with Pre-trained Language Models

Reference 86

Resolution
unresolved
no resolver link, observed 2026-08-01T20:54:10.903870Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T20:54:10.903870Z digest=sha256:ad6b6cbb4b3011a36267ae7031fa3859b68c562494458a55dc3d8cf3590207ae