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Paper Citation Record · LEDGER

Bias Testing and Mitigation in LLM-based Code Generation

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 14 inbound Pith citation observations for arXiv:2309.14345.

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

pith.paper-citation-record.v1
2309.14345 v4

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 14 of 14 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 14 of 14 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T23:19:28.790056Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-22T22:55:12.388887Z

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 f708c5c0-1ae1-455f-8e22-78098a0ceca4 · inbound

StarCoder 2 and The Stack v2: The Next Generation cites this paper.

StarCoder 2 and The Stack v2: The Next Generation Bias Testing and Mitigation in LLM-based Code Generation

Reference 215

Resolution
verified exact
arxiv_id, observed 2026-05-12T17:28:22.824025Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-05-12T17:28:22.353355Z digest=sha256:150a1c869cd1787a0d618eb1a70e248d910995f4122642219e9f0f2afb075671

Observation cc33f1d7-d76c-4f7b-b450-e7d55f23cb90 · inbound

Harnessing Large Language Models for Seed Generation in Greybox Fuzzing cites this paper.

Harnessing Large Language Models for Seed Generation in Greybox Fuzzing Bias Testing and Mitigation in LLM-based Code Generation

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-12T11:32:12.808519Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T11:32:12.808519Z digest=sha256:229d3b9a2284fd183f922d1ad9ecb1635cc3fd431653dc7837422a0ed096ad6e

Observation f8499a82-de1d-4abe-beee-0e45b772b4c6 · inbound

The Current Challenges of Software Engineering in the Era of Large Language Models cites this paper.

The Current Challenges of Software Engineering in the Era of Large Language Models Bias Testing and Mitigation in LLM-based Code Generation

Reference 66

Resolution
unresolved
no resolver link, observed 2026-08-11T12:10:13.691661Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T12:10:13.691661Z digest=sha256:a29a7c47db413fea5aff11e754732a781e7ee1b04f3cda01bdd74b2097d286ad

Observation 06f9f931-eadc-4351-aee6-3b6e5b49a420 · inbound

Towards Advancing Code Generation with Large Language Models: A Research Roadmap cites this paper.

Towards Advancing Code Generation with Large Language Models: A Research Roadmap Bias Testing and Mitigation in LLM-based Code Generation

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-10T18:24:12.714517Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T18:24:12.714517Z digest=sha256:5a57bdee131a7f265f7b4025e2bc887b01847e6d6458853d06f14e82350fcb73

Observation 4e077d67-0ba1-4881-b134-97b2b1c344c0 · inbound

On the Reasoning Capacity of AI Models and How to Quantify It cites this paper.

On the Reasoning Capacity of AI Models and How to Quantify It Bias Testing and Mitigation in LLM-based Code Generation

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-10T15:38:37.858493Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T15:38:37.858493Z digest=sha256:7621df1fdb1bb550464fca5a1367c00dbd8b0c42bee5d1421aa48d410df78d6f

Observation cc7afd70-90b8-4707-8919-465e2f13a437 · inbound

A Study of LLMs' Preferences for Libraries and Programming Languages cites this paper.

A Study of LLMs' Preferences for Libraries and Programming Languages Bias Testing and Mitigation in LLM-based Code Generation

Reference 29

Resolution
verified exact
arxiv_id, observed 2026-05-22T22:55:12.391114Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-22T22:53:16.951417Z digest=sha256:7755bc5bdc54a7583cc7f7c1511eeff280a1e3c3466aaf05d8a202494f31721b

Observation 5db422ef-8fe6-4bbf-82ec-62c0fb2e7103 · inbound

Towards Mitigating API Hallucination in Code Generated by LLMs with Hierarchical Dependency Aware cites this paper.

Towards Mitigating API Hallucination in Code Generated by LLMs with Hierarchical Dependency Aware Bias Testing and Mitigation in LLM-based Code Generation

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-15T23:19:28.790056Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T23:19:28.790056Z digest=sha256:7c6d0452611864fa7a36cd8c86cf0eade0cec31932fda521c5e000ea6c94c145

Observation 2a705015-8a6d-439f-944d-e40074a1f542 · inbound

LFTF: Locating First and Then Fine-Tuning for Mitigating Gender Bias in Large Language Models cites this paper.

LFTF: Locating First and Then Fine-Tuning for Mitigating Gender Bias in Large Language Models Bias Testing and Mitigation in LLM-based Code Generation

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-07T15:22:14.317312Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T15:22:14.317312Z digest=sha256:e7d1b06c336ac89e5b52f0d30002390eb557fd0f39d571fd27a846220782c597

Observation c9653139-85dd-41c5-94cd-fb5f28909b59 · inbound

Architectures of Error: A Philosophical Inquiry into AI and Human Code Generation cites this paper.

Architectures of Error: A Philosophical Inquiry into AI and Human Code Generation Bias Testing and Mitigation in LLM-based Code Generation

Reference 13

Resolution
verified exact
arxiv_id, observed 2026-05-19T13:07:18.246520Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-19T13:03:37.306645Z digest=sha256:1f090bf44491179096390251eb76dae02f3924124679b6c138ece60733fba63e

Observation e1764c64-35e9-4050-9976-25857e369d80 · inbound

BiasFilter: An Inference-Time Debiasing Framework for Large Language Models cites this paper.

BiasFilter: An Inference-Time Debiasing Framework for Large Language Models Bias Testing and Mitigation in LLM-based Code Generation

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-07T13:21:28.110946Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T13:21:28.110946Z digest=sha256:1743ac4df4ada609d1fd383676c8467cb24c0c4f125f46b8897c764c4036f5c3

Observation e72add6e-4211-4450-a911-b41d98146a45 · inbound

Uncovering Intention through LLM-Driven Code Snippet Description Generation cites this paper.

Uncovering Intention through LLM-Driven Code Snippet Description Generation Bias Testing and Mitigation in LLM-based Code Generation

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-06T23:59:52.396148Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:59:52.396148Z digest=sha256:a98f425f81eeed1ef21b8035950004d5b62add9868bcc4aafda51f6167e5c2c8

Observation 9d4758db-3a9b-4bba-ba52-4d06b08d9097 · inbound

LiquiLM: Bridging the Semantic Gap in Liquidity Flaw Audit via DCN and LLMs cites this paper.

LiquiLM: Bridging the Semantic Gap in Liquidity Flaw Audit via DCN and LLMs Bias Testing and Mitigation in LLM-based Code Generation

Reference 21

Resolution
verified exact
arxiv_id, observed 2026-05-13T17:08:01.222001Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-13T16:58:49.625694Z digest=sha256:64ed5c83ced31980984b6c9b46e73ac997d03c2a390e11d55dc59d25c2116cbf

Observation 8688c943-2fd7-4f12-a1f2-7aabf09083f8 · inbound

Fairness in Multi-Agent Systems for Software Engineering: An SDLC-Oriented Rapid Review cites this paper.

Fairness in Multi-Agent Systems for Software Engineering: An SDLC-Oriented Rapid Review Bias Testing and Mitigation in LLM-based Code Generation

Reference 26

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T07:26:01.004187Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-10T17:11:23.553461Z digest=sha256:cc6437faca511fe43be40945345dcae49850ae20a7b539be497cdbcd88f90aab

Observation 43d7615c-1628-4084-9fc9-94c1f6e51d02 · inbound

Pattern over Pixels: Measuring Pattern Completion Bias in Multimodal Code Generation cites this paper.

Pattern over Pixels: Measuring Pattern Completion Bias in Multimodal Code Generation Bias Testing and Mitigation in LLM-based Code Generation

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-05T14:41:00.166389Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T14:41:00.166389Z digest=sha256:767d1ce0f2fe0e84b57a5465c530c27154979c834a139dad83be5c7dfa308e81