Paper Citation Record · LEDGER

Evaluating Instruction-Tuned Large Language Models on Code Comprehension and Generation

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 13 inbound Pith citation observations for arXiv:2308.01240.

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

pith.paper-citation-record.v1
2308.01240 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 13 of 13 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 13 of 13 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T06:00:16.923044Z

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

18
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 bde149ff-327d-4cbf-93c6-85e846f42169 · inbound

LLM Evaluators Recognize and Favor Their Own Generations cites this paper.

LLM Evaluators Recognize and Favor Their Own Generations Evaluating Instruction-Tuned Large Language Models on Code Comprehension and Generation

Reference 33

Resolution: verified exact; arxiv_id, observed 2026-05-22T18:44:28.906549Z

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.

Observation 8f21828f-ec4c-4852-8fca-44cebbb71860 · inbound

Large Language Model-Based Agents for Software Engineering: A Survey cites this paper.

Large Language Model-Based Agents for Software Engineering: A Survey Evaluating Instruction-Tuned Large Language Models on Code Comprehension and Generation

Reference 130

Resolution: verified exact; arxiv_id, observed 2026-05-17T12:35:48.348348Z

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.

Observation c30b4f62-4304-40d6-9164-317564d99421 · inbound

"Should I Give Up Now?" Investigating LLM Pitfalls in Software Engineering cites this paper.

"Should I Give Up Now?" Investigating LLM Pitfalls in Software Engineering Evaluating Instruction-Tuned Large Language Models on Code Comprehension and Generation

Reference 23

Resolution: verified exact; arxiv_id, observed 2026-05-23T17:33:15.999793Z

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.

Observation 412aafdc-837c-47dd-96bf-e7da983c14d6 · 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 Evaluating Instruction-Tuned Large Language Models on Code Comprehension and Generation

Reference 9

Resolution: verified exact; arxiv_id, observed 2026-05-19T10:22:14.567778Z

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.

Observation a9a44159-a09f-4e11-8a89-a47582ee1cb6 · inbound

Evolutionary Perspectives on the Evaluation of LLM-Based AI Agents: A Comprehensive Survey cites this paper.

Evolutionary Perspectives on the Evaluation of LLM-Based AI Agents: A Comprehensive Survey Evaluating Instruction-Tuned Large Language Models on Code Comprehension and Generation

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-07T06:00:16.923044Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 876b9082-be22-4e2a-8cc0-f8e484d4aefa · inbound

Is Quantization a Deal-breaker? Empirical Insights from Large Code Models cites this paper.

Is Quantization a Deal-breaker? Empirical Insights from Large Code Models Evaluating Instruction-Tuned Large Language Models on Code Comprehension and Generation

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-06T17:56:21.347461Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5d82ea6b-c7e8-4fd7-8d2d-d7d5bab565ba · inbound

Chain-of-Descriptions: Improving Code LLMs for VHDL Code Generation and Summarization cites this paper.

Chain-of-Descriptions: Improving Code LLMs for VHDL Code Generation and Summarization Evaluating Instruction-Tuned Large Language Models on Code Comprehension and Generation

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-06T16:52:54.207511Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 14ae6066-fe9e-4458-a1e5-056f900c6ac8 · inbound

Impact of Code Context and Prompting Strategies on Automated Unit Test Generation with Modern General-Purpose Large Language Models cites this paper.

Impact of Code Context and Prompting Strategies on Automated Unit Test Generation with Modern General-Purpose Large Language Models Evaluating Instruction-Tuned Large Language Models on Code Comprehension and Generation

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-06T16:20:48.461201Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 206e38da-14f4-4e7e-9702-a5b07d5bf678 · inbound

IFEvalCode: Controlled Code Generation cites this paper.

IFEvalCode: Controlled Code Generation Evaluating Instruction-Tuned Large Language Models on Code Comprehension and Generation

Reference 74

Resolution: unresolved; no resolver link, observed 2026-08-06T11:44:34.123108Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 333a04eb-1ffc-464a-ac94-f3ab82fbb241 · inbound

Project-Level C-to-Rust Translation via Pointer Knowledge Graphs cites this paper.

Project-Level C-to-Rust Translation via Pointer Knowledge Graphs Evaluating Instruction-Tuned Large Language Models on Code Comprehension and Generation

Reference 49

Resolution: verified exact; arxiv_id, observed 2026-05-18T08:31:06.714699Z

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.

Observation ebda495a-e8a8-4365-9848-e71392b8f8ac · inbound

LLM-Based Agentic Systems for Software Engineering: Challenges and Opportunities cites this paper.

LLM-Based Agentic Systems for Software Engineering: Challenges and Opportunities Evaluating Instruction-Tuned Large Language Models on Code Comprehension and Generation

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-03T10:30:41.902327Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 469ef906-f6ed-46e3-93be-abc49c564503 · inbound

Stability vs. Manipulability: Evaluating Robustness Under Post-Decision Interaction in LLM Judges cites this paper.

Stability vs. Manipulability: Evaluating Robustness Under Post-Decision Interaction in LLM Judges Evaluating Instruction-Tuned Large Language Models on Code Comprehension and Generation

Reference 78

Resolution: verified exact; arxiv_id, observed 2026-07-02T08:36:47.681968Z

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.

Observation 7c2c9227-d8f3-42d4-9b7a-e895fdf877f1 · inbound

ROSUM-MCTS: Monte Carlo Tree Search-Inspired HDL Code Summarization with Structural Rewards cites this paper.

ROSUM-MCTS: Monte Carlo Tree Search-Inspired HDL Code Summarization with Structural Rewards Evaluating Instruction-Tuned Large Language Models on Code Comprehension and Generation

Reference 25

Resolution: verified exact; arxiv_id, observed 2026-07-02T20:27:22.700040Z

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.