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Paper Citation Record · LEDGER

Automated Code Review Using Large Language Models at Ericsson: An Experience Report

As of 23 August 2026, this Paper Citation Record lists 10 of 10 outbound references and 1 inbound Pith citation observation for arXiv:2507.19115.

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

pith.paper-citation-record.v1
2507.19115 v2

Coverage vector

measured 10 of 10 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T18:04:04.402100Z

measured 11 of 11 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-13T18:45:23.801303Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-13T18:48:07.943612Z

Reference resolution

10 of 10 outbound references displayed

  • verified exact0
  • verified fuzzy6
  • unresolved4
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 516474d2-7f1f-48d5-8f55-88aca2127cea · outbound

This paper cites Usage: java MainExample <input-file> <output-directory>.

Automated Code Review Using Large Language Models at Ericsson: An Experience Report Usage: java MainExample <input-file> <output-directory>

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:04:04.731501Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-15T18:04:04.365880Z digest=sha256:f141a4fbb1a72832d8ff719f85a07b19252a436b94ba5f32d0c7cae527c1873f

Observation 08c8eabd-9ec2-409a-814f-daf909ab352c · outbound

This paper cites A Survey on Evaluating Large Language Models in Code Generation Tasks.

Automated Code Review Using Large Language Models at Ericsson: An Experience Report A Survey on Evaluating Large Language Models in Code Generation Tasks

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-15T18:04:04.371401Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T18:04:04.371401Z digest=sha256:6632cacc86dcb65f1ef9382678c164c7dc1cdc92aa7aa516cdf2b34105f713ee

Observation 9a2a7d06-5594-4711-9eee-2ab1809e6ff6 · outbound

This paper cites Automated Code Review In Practice.

Automated Code Review Using Large Language Models at Ericsson: An Experience Report Automated Code Review In Practice

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-15T18:04:04.375583Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T18:04:04.375583Z digest=sha256:332efd13e0a3fb59fa348142482815d190c99744e87f01cf522f251653c34849

Observation a875882d-2cfd-45d9-a886-9a2df833160d · outbound

This paper cites Large language models for code analysis: Do LLMs really do their job?.

Automated Code Review Using Large Language Models at Ericsson: An Experience Report Large language models for code analysis: Do LLMs really do their job?

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:04:04.720131Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-15T18:04:04.379431Z digest=sha256:17c92698caf5a357ed9d807b98b5bbe61731d8715a937e56e585dd01edb3ed1d

Observation 4cef640d-92ff-4510-91c4-00e7e115ed7d · outbound

This paper cites Fine-tuning and prompt engineering for large language models-based code review automation,.

Automated Code Review Using Large Language Models at Ericsson: An Experience Report Fine-tuning and prompt engineering for large language models-based code review automation,

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:04:04.709214Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-15T18:04:04.383557Z digest=sha256:85b4e9b83ad78e4a9749fe527798e6467aae8930ece9ddd79265c3b6e6a26c49

Observation 74b1a024-d466-49a5-98fa-3b8d3dbf3eed · outbound

This paper cites Ai-powered code review with llms: Early results,.

Automated Code Review Using Large Language Models at Ericsson: An Experience Report Ai-powered code review with llms: Early results,

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-15T18:04:04.387493Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T18:04:04.387493Z digest=sha256:ea2c5c4fcb3509b0fe6f4a9adb66035d9fb8ac1a55b58fdd5f70407e5dadd9fc

Observation e13092a1-47ae-4fd3-86ef-371788e48e69 · outbound

This paper cites Significant productivity gains through programming with large language models,.

Automated Code Review Using Large Language Models at Ericsson: An Experience Report Significant productivity gains through programming with large language models,

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:04:04.697593Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-15T18:04:04.391392Z digest=sha256:89569d0ad0bcb4a5c7f9a7e79a2cae0a11a82bb64dd3afcef22475bc746ec7ef

Observation 7dbbf56b-eb62-402c-885a-0428a0205002 · outbound

This paper cites Where Are Large Language Models for Code Generation on GitHub?,.

Automated Code Review Using Large Language Models at Ericsson: An Experience Report Where Are Large Language Models for Code Generation on GitHub?,

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-15T18:04:04.395180Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T18:04:04.395180Z digest=sha256:642c3ace6b71d3befca1310e10cfe783f7285737cb7f7459e86cb408eb3530a6

Observation 08fb31dc-32ff-483a-9fad-79f44b3de286 · outbound

This paper cites Fine-tuning large language models to improve accuracy and comprehensibility of automated code review,.

Automated Code Review Using Large Language Models at Ericsson: An Experience Report Fine-tuning large language models to improve accuracy and comprehensibility of automated code review,

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:04:04.686035Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-15T18:04:04.398834Z digest=sha256:d2e9aa08b5ae6d8818b0c439f13cc4d3afe6ec36689638c6388d4873174be4f4

Observation 0c0cc6cd-af2c-4b90-8628-a9cc0888d3d1 · outbound

This paper cites The use of large language models for program repair,.

Automated Code Review Using Large Language Models at Ericsson: An Experience Report The use of large language models for program repair,

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:04:04.674980Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-15T18:04:04.402100Z digest=sha256:0ae7d1b1189293f195a8fe44a97d8230a9b6a032f5df7fa0446ae6cf49771ebc

Pith citing papers

Observation 6398f571-c101-4f56-82a2-8d0f1c1d5fa3 · inbound

From Industry Claims to Empirical Reality: An Empirical Study of Code Review Agents in Pull Requests cites this paper.

From Industry Claims to Empirical Reality: An Empirical Study of Code Review Agents in Pull Requests Automated Code Review Using Large Language Models at Ericsson: An Experience Report

Reference 14

Resolution
verified exact
arxiv_id, observed 2026-05-13T18:48:07.944851Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-13T18:45:23.801303Z digest=sha256:3ecdf83323eaf5ac445a80572b8df4ad6399e517763355ccadd98460d6ff6418