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Paper Citation Record · LEDGER

Fixing Large Language Models' Specification Misunderstanding for Better Code Generation

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2309.16120.

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

pith.paper-citation-record.v1
2309.16120 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 8 of 8 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T04:54:18.202910Z

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 8fad21bc-f53e-416b-a06a-a8cd778dec47 · inbound

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

CRUXEval: A Benchmark for Code Reasoning, Understanding and Execution Fixing Large Language Models' Specification Misunderstanding for Better Code Generation

Reference 6

Resolution
verified exact
arxiv_id, observed 2026-05-14T20:57:16.383405Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-14T20:57:16.327963Z digest=sha256:812e7e275a56a4747750ccafe0ab10d7ec1996dba90f8ef2eec084fa5d7a3b4a

Observation c9a94b16-b1f2-4305-9e08-35743fe313d7 · 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 Fixing Large Language Models' Specification Misunderstanding for Better Code Generation

Reference 36

Resolution
metadata mismatch
arxiv_id, observed 2026-05-10T17:34:43.004269Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-10T17:34:42.565806Z digest=sha256:8b58c141d3c2bd675e5b0b4229549e52fac2aefc0a7c8bc061a04d7ded9dc5b6

Observation a554c710-0049-46ea-954d-ba4734fbe82f · inbound

A Showdown of ChatGPT vs DeepSeek in Solving Programming Tasks cites this paper.

A Showdown of ChatGPT vs DeepSeek in Solving Programming Tasks Fixing Large Language Models' Specification Misunderstanding for Better Code Generation

Reference 22

Resolution
verified exact
arxiv_id, observed 2026-05-23T00:27:17.670487Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-23T00:26:46.078000Z digest=sha256:8076ee02c2ede9138ea9a6e566d2b37d97e36b0a3fe7867f5f3a86392dc3ea40

Observation 4096591a-a473-4ae4-9ee9-1d968a51849e · inbound

AdaDec: A Uncertainty-Guided Lookahead Decoding Framework for LLM-Based Code Generation cites this paper.

AdaDec: A Uncertainty-Guided Lookahead Decoding Framework for LLM-Based Code Generation Fixing Large Language Models' Specification Misunderstanding for Better Code Generation

Reference 3

Resolution
verified exact
arxiv_id, observed 2026-05-19T10:22:14.553273Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-19T10:19:07.701197Z digest=sha256:fd572476512fee80dae955a25a89b36eb220157115364301b0bceaee60f061f5

Observation a3d016d7-67fa-4100-8f21-33a2e7b4bcef · inbound

Reasoning as a Resource: Optimizing Fast and Slow Thinking in Code Generation Models cites this paper.

Reasoning as a Resource: Optimizing Fast and Slow Thinking in Code Generation Models Fixing Large Language Models' Specification Misunderstanding for Better Code Generation

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-07T04:54:18.202910Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:54:18.202910Z digest=sha256:6b7c5fb3d713820124fd750d34c56807726991526764ccbfdbcb1ccf31ccd1a3

Observation e0d3c8c6-b55a-49ef-ad5e-effa4a22987b · inbound

A Hierarchical and Evolvable Benchmark for Fine-Grained Code Instruction Following with Multi-Turn Feedback cites this paper.

A Hierarchical and Evolvable Benchmark for Fine-Grained Code Instruction Following with Multi-Turn Feedback Fixing Large Language Models' Specification Misunderstanding for Better Code Generation

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-06T21:16:41.068895Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:16:41.068895Z digest=sha256:39cfd41f65fa423137ad9e0a539a08fe4bcbdb480c7ba28410f54503cc2ef1d2

Observation fd0b6b36-66f3-4ba8-922c-3432656de2bd · inbound

Knowledge-Graph-Driven Data Synthesis for Low-Resource Software Development: A HarmonyOS Case Study cites this paper.

Knowledge-Graph-Driven Data Synthesis for Low-Resource Software Development: A HarmonyOS Case Study Fixing Large Language Models' Specification Misunderstanding for Better Code Generation

Reference 56

Resolution
verified exact
arxiv_id, observed 2026-05-17T03:38:57.843548Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-17T03:38:40.078229Z digest=sha256:4287fa8964c1630d81e811fc0cb9fadd332967ebb884f2b974e2acdebac034da

Observation 1cd4936e-2cd8-4adf-8ba8-19a5c428ee76 · inbound

Large Language Models for Multi-Lingual Equivalent Mutant Detection: An Extended Empirical Study cites this paper.

Large Language Models for Multi-Lingual Equivalent Mutant Detection: An Extended Empirical Study Fixing Large Language Models' Specification Misunderstanding for Better Code Generation

Reference 90

Resolution
verified exact
arxiv_id, observed 2026-07-02T09:16:48.841778Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-07-02T09:07:01.783340Z digest=sha256:d614ec32e7e3743ea67d60d12b7f18d47d947eae5fb605394af57adac18399cc