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Paper Citation Record · LEDGER

Measuring Determinism in Large Language Models for Software Code Review

As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2502.20747.

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

pith.paper-citation-record.v1
2502.20747 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T23:50:46.581751Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-12T09:16:26.944926Z

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 c1a2386b-aab1-44cb-9e0b-c327d561ab7c · inbound

Automated Bug Frame Retrieval from Gameplay Videos Using Vision-Language Models cites this paper.

Automated Bug Frame Retrieval from Gameplay Videos Using Vision-Language Models Measuring Determinism in Large Language Models for Software Code Review

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-05T23:50:46.581751Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T23:50:46.581751Z digest=sha256:60ed8f219a39c54937f68289e8e99d2650a0adbe7b3bf66bde924f9a5f43fc60

Observation 91f73ab1-c833-46c9-8c62-ed30aedcf46d · inbound

Linear-LLM-SCM: Benchmarking LLMs for Coefficient Elicitation in Linear-Gaussian Causal Models cites this paper.

Linear-LLM-SCM: Benchmarking LLMs for Coefficient Elicitation in Linear-Gaussian Causal Models Measuring Determinism in Large Language Models for Software Code Review

Reference 4

Resolution
malformed identifier
no resolver link, observed 2026-08-03T01:15:41.159292Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T01:15:41.159292Z digest=sha256:57e44a2377028ee044679c823b90a7e33d0a4c5d2c29220d80f1f29f75931497

Observation 8576f06d-eef2-4d4a-94f5-f44c72e623c9 · inbound

Dataset-Level Metrics Attenuate Non-Determinism: A Fine-Grained Non-Determinism Evaluation in Diffusion Language Models cites this paper.

Dataset-Level Metrics Attenuate Non-Determinism: A Fine-Grained Non-Determinism Evaluation in Diffusion Language Models Measuring Determinism in Large Language Models for Software Code Review

Reference 13

Resolution
verified exact
arxiv_id, observed 2026-05-10T13:35:26.415491Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-05-10T13:31:46.940449Z digest=sha256:f578f81f11b7f0b809cdb66a218b95bce89a35121d6c12e6a22fa221b85f8bdf

Observation 152f697e-48a5-4871-8fb4-f45ebe1c9034 · inbound

DF3DV-1K: A Large-Scale Dataset and Benchmark for Distractor-Free Novel View Synthesis cites this paper.

DF3DV-1K: A Large-Scale Dataset and Benchmark for Distractor-Free Novel View Synthesis Measuring Determinism in Large Language Models for Software Code Review

Reference 13

Resolution
unresolved
no resolver link, observed 2026-07-12T20:50:53.567415Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T20:50:53.567415Z digest=sha256:6e28b7fd473c9e728c9d686e69eb35cea53ee3882df4866a4f950a2e5bf3f023

Observation 9d4c45c7-6f30-421b-8c8e-7c60c1a1dc09 · inbound

TDD Governance for Multi-Agent Code Generation via Prompt Engineering cites this paper.

TDD Governance for Multi-Agent Code Generation via Prompt Engineering Measuring Determinism in Large Language Models for Software Code Review

Reference 11

Resolution
verified exact
arxiv_id, observed 2026-05-12T09:16:26.947865Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-05-07T11:40:59.915105Z digest=sha256:1472aae6bec83cb2c96f746f4c71cd31443c6b97175bf38ed3fc5b7fc2ade4e8