Paper Citation Record · LEDGER

Impact of Comments on LLM Comprehension of Legacy Code

As of 16 August 2026, this Paper Citation Record lists 15 of 15 outbound references and 0 inbound Pith citation observations for arXiv:2506.11007.

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

pith.paper-citation-record.v1
2506.11007 v1

Coverage vector

measured 15 of 15 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T10:52:59.846468Z

measured 15 of 15 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

15 of 15 outbound references displayed

verified exact0
verified fuzzy5
unresolved10
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation e16ce0a4-2ba6-48db-a53c-4e7162910653 · outbound

This paper cites Evaluating Large Language Models Trained on Code.

Impact of Comments on LLM Comprehension of Legacy Code Evaluating Large Language Models Trained on Code

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-16T10:52:59.794550Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1ba43f8f-4259-4def-a640-5940fbe436b8 · outbound

This paper cites Large language models for software engineering: Survey and open problems,.

Impact of Comments on LLM Comprehension of Legacy Code Large language models for software engineering: Survey and open problems,

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-16T10:52:59.798892Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f64c0ef7-f8d5-454b-b066-d2d87ef925bc · outbound

This paper cites A comparative analysis of large language models for code documentation generation,.

Impact of Comments on LLM Comprehension of Legacy Code A comparative analysis of large language models for code documentation generation,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:53:00.192861Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 7c7e304c-5604-4c1c-845a-199324ccc7d1 · outbound

This paper cites Automatic Code Documentation Generation Using GPT-3.

Impact of Comments on LLM Comprehension of Legacy Code Automatic Code Documentation Generation Using GPT-3

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-16T10:52:59.806354Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fb39535b-5ecb-4fa4-ad9c-550817d08c35 · outbound

This paper cites Debugging with open-source large language models: An evaluation,.

Impact of Comments on LLM Comprehension of Legacy Code Debugging with open-source large language models: An evaluation,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:53:00.178672Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 7e4d6850-8d81-42f7-b9a7-7c6ace00a1dc · outbound

This paper cites DebugBench: Evaluating Debugging Capability of Large Language Models.

Impact of Comments on LLM Comprehension of Legacy Code DebugBench: Evaluating Debugging Capability of Large Language Models

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-16T10:52:59.814024Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a391fdfb-85be-4f07-8142-bfa63abe1478 · outbound

This paper cites Comparing code explanations created by students and large language models,.

Impact of Comments on LLM Comprehension of Legacy Code Comparing code explanations created by students and large language models,

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-16T10:52:59.818027Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c3a83e7a-f9a6-495f-b69e-89a05b52ac56 · outbound

This paper cites Using an LLM to help with code understanding,.

Impact of Comments on LLM Comprehension of Legacy Code Using an LLM to help with code understanding,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:53:00.165909Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 9146609f-7b08-4b6f-beba-ca64d2810dab · outbound

This paper cites Bridging Eras: Transforming Fortran legacies into Python with the power of large language models,.

Impact of Comments on LLM Comprehension of Legacy Code Bridging Eras: Transforming Fortran legacies into Python with the power of large language models,

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-16T10:52:59.824867Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c1ac56d9-0f46-42d5-9499-fae1963ad1c2 · outbound

This paper cites Leveraging LLMs for Legacy Code Modernization: Challenges and Opportunities for LLM-Generated Documentation.

Impact of Comments on LLM Comprehension of Legacy Code Leveraging LLMs for Legacy Code Modernization: Challenges and Opportunities for LLM-Generated Documentation

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-16T10:52:59.828051Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b406c131-1433-4ac3-a381-54f756ce1066 · outbound

This paper cites LLMs May Perform MCQA by Selecting the Least Incorrect Option.

Impact of Comments on LLM Comprehension of Legacy Code LLMs May Perform MCQA by Selecting the Least Incorrect Option

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-16T10:52:59.831799Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3170544b-1dda-4d2a-b8fe-225e13994526 · outbound

This paper cites Can multiple-choice questions really be useful in detecting the abilities of LLMs?.

Impact of Comments on LLM Comprehension of Legacy Code Can multiple-choice questions really be useful in detecting the abilities of LLMs?

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-16T10:52:59.835410Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 491a29b4-d109-401e-9486-703d3a1e88ff · outbound

This paper cites Multiple-Choice Questions are Efficient and Robust LLM Evaluators.

Impact of Comments on LLM Comprehension of Legacy Code Multiple-Choice Questions are Efficient and Robust LLM Evaluators

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-16T10:52:59.839002Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ffd2b56f-0c36-4e2d-a211-1a59947f9423 · outbound

This paper cites Walmartlabs zfam github public repository,.

Impact of Comments on LLM Comprehension of Legacy Code Walmartlabs zfam github public repository,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:53:00.144487Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation c45d94b7-c3fd-4b10-ab34-30e26a68087f · outbound

This paper cites EvalQuiz – LLM- based automated generation of self-assessment quizzes in software engineering education,.

Impact of Comments on LLM Comprehension of Legacy Code EvalQuiz – LLM- based automated generation of self-assessment quizzes in software engineering education,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:53:00.124442Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Pith citing papers

No inbound Pith citation observations are available.