Paper Citation Record · LEDGER

Social Bias Evaluation for Large Language Models Requires Prompt Variations

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 13 inbound Pith citation observations for arXiv:2407.03129.

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

pith.paper-citation-record.v1
2407.03129 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 2026-08-10T06:31:04.303077+00:00

measured 13 of 13 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T21:05:08.795859Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T12:36:57.034343Z

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 26c961d9-5458-4eb0-855c-399b9c9b23d9 · inbound

Position: Contextual Integrity is Inadequately Applied to Language Models cites this paper.

Position: Contextual Integrity is Inadequately Applied to Language Models Social Bias Evaluation for Large Language Models Requires Prompt Variations

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-09T21:05:08.795859Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f891b6c9-538a-485b-84f3-d56781eaf6a6 · inbound

Token-Level Entropy Reveals Demographic Disparities in Large Language Models cites this paper.

Token-Level Entropy Reveals Demographic Disparities in Large Language Models Social Bias Evaluation for Large Language Models Requires Prompt Variations

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-09T20:34:09.150533Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0f2d40c6-135d-4e10-a00e-e81655c7d51b · inbound

Adaptive Prompting: Ad-hoc Prompt Composition for Social Bias Detection cites this paper.

Adaptive Prompting: Ad-hoc Prompt Composition for Social Bias Detection Social Bias Evaluation for Large Language Models Requires Prompt Variations

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-08T15:21:49.606793Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dfa945a4-9ccd-4309-9baa-58332369285b · inbound

Advertising in AI systems: Society must be vigilant cites this paper.

Advertising in AI systems: Society must be vigilant Social Bias Evaluation for Large Language Models Requires Prompt Variations

Reference 2016

Resolution: unresolved; no resolver link, observed 2026-08-07T14:34:30.138329Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 61a896a5-5d7e-4e3a-81c7-ad1ee7ebd480 · inbound

ReliableEval: A Recipe for Stochastic LLM Evaluation via Method of Moments cites this paper.

ReliableEval: A Recipe for Stochastic LLM Evaluation via Method of Moments Social Bias Evaluation for Large Language Models Requires Prompt Variations

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-07T13:20:17.246568Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 090ed725-2864-4214-9808-77d96f0b719b · inbound

The Thin Line Between Comprehension and Persuasion in LLMs cites this paper.

The Thin Line Between Comprehension and Persuasion in LLMs Social Bias Evaluation for Large Language Models Requires Prompt Variations

Reference 1

Resolution: verified exact; arxiv_id, observed 2026-05-19T06:07:07.313989Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 4d079846-2dcc-4623-a984-16db97d7b9ac · inbound

Obscured but Not Erased: Evaluating Nationality Bias in LLMs via Name-Based Bias Benchmarks cites this paper.

Obscured but Not Erased: Evaluating Nationality Bias in LLMs via Name-Based Bias Benchmarks Social Bias Evaluation for Large Language Models Requires Prompt Variations

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-06T15:02:35.246985Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fd9a0044-26da-41ef-a0f1-b3a8ee8aaed5 · inbound

The Personalization Trap: How User Memory Alters Emotional Reasoning in LLMs cites this paper.

The Personalization Trap: How User Memory Alters Emotional Reasoning in LLMs Social Bias Evaluation for Large Language Models Requires Prompt Variations

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-04T10:26:10.871315Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fe39d6de-e4ed-4c5f-ae1d-65aa50d21a26 · inbound

DeFrame: Debiasing Large Language Models Against Framing Effects cites this paper.

DeFrame: Debiasing Large Language Models Against Framing Effects Social Bias Evaluation for Large Language Models Requires Prompt Variations

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-03T04:43:43.654103Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d35c6e4a-b7ea-44ec-b034-7e158cd267c9 · inbound

VoxSafeBench: Not Just What Is Said, but Who, How, and Where cites this paper.

VoxSafeBench: Not Just What Is Said, but Who, How, and Where Social Bias Evaluation for Large Language Models Requires Prompt Variations

Reference 41

Resolution: metadata mismatch; arxiv_id, observed 2026-05-10T10:24:22.033768Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 4fa04ce1-9981-498f-912b-88bf9066468b · inbound

Intersectional Fairness in Large Language Models cites this paper.

Intersectional Fairness in Large Language Models Social Bias Evaluation for Large Language Models Requires Prompt Variations

Reference 12

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T14:01:06.721903Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 78d25cca-bb06-4d44-8aa7-df9072a72313 · inbound

Position: the Stochastic Parrot in the Coal Mine. Model Collapse is a Threat to Low-Resource Communities cites this paper.

Position: the Stochastic Parrot in the Coal Mine. Model Collapse is a Threat to Low-Resource Communities Social Bias Evaluation for Large Language Models Requires Prompt Variations

Reference 13

Resolution: metadata mismatch; arxiv_id, observed 2026-05-09T06:35:40.882395Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 34bae549-f486-400f-bfcd-457a4a6d443b · inbound

Can LLMs Be Constrained to the Past? Improving Knowledge Cutoff through Recall-Based Prompting cites this paper.

Can LLMs Be Constrained to the Past? Improving Knowledge Cutoff through Recall-Based Prompting Social Bias Evaluation for Large Language Models Requires Prompt Variations

Reference 4

Resolution: metadata mismatch; arxiv_id, observed 2026-07-02T12:36:57.035937Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.