Paper Citation Record · LEDGER

Robustly Improving LLM Fairness in Realistic Settings via Interpretability

As of 7 August 2026, this Paper Citation Record lists 12 of 12 outbound references and 4 inbound Pith citation observations for arXiv:2506.10922.

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

pith.paper-citation-record.v1
2506.10922 v1

Coverage vector

measured 12 of 12 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T04:18:35.273492Z

measured 16 of 16 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T19:34:55.741915Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T02:49:25.205923Z

Reference resolution

12 of 12 outbound references displayed

verified exact0
verified fuzzy1
unresolved11
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation b513dae3-75aa-45d7-850b-0c0bec077196 · outbound

This paper cites an unresolved cited work.

Robustly Improving LLM Fairness in Realistic Settings via Interpretability Unresolved cited work

Reference 1

Resolution: unresolved; raw_fallback, observed 2026-08-07T04:18:38.571581Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 678282f1-1739-4db3-bdc3-e7dbc7ce51ab · outbound

This paper cites an unresolved cited work.

Robustly Improving LLM Fairness in Realistic Settings via Interpretability Unresolved cited work

Reference 2

Resolution: unresolved; raw_fallback, observed 2026-08-07T04:18:38.239137Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 88db4111-061a-4f40-8fe0-79f7effeadda · outbound

This paper cites an unresolved cited work.

Robustly Improving LLM Fairness in Realistic Settings via Interpretability Unresolved cited work

Reference 3

Resolution: unresolved; raw_fallback, observed 2026-08-07T04:18:37.936451Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 42dc0808-fe27-486c-8da7-936ef5b93001 · outbound

This paper cites an unresolved cited work.

Robustly Improving LLM Fairness in Realistic Settings via Interpretability Unresolved cited work

Reference 4

Resolution: unresolved; raw_fallback, observed 2026-08-07T04:18:37.664027Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 92430ae4-cb81-4f45-a3f6-ff663b2ce928 · outbound

This paper cites an unresolved cited work.

Robustly Improving LLM Fairness in Realistic Settings via Interpretability Unresolved cited work

Reference 5

Resolution: unresolved; raw_fallback, observed 2026-08-07T04:18:37.399810Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 4b9e6f59-290b-47e1-ba7d-a6b593daca2b · outbound

This paper cites an unresolved cited work.

Robustly Improving LLM Fairness in Realistic Settings via Interpretability Unresolved cited work

Reference 6

Resolution: unresolved; raw_fallback, observed 2026-08-07T04:18:37.080267Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 8cba65c7-996a-427e-9e9d-328cf1e5d5d3 · outbound

This paper cites an unresolved cited work.

Robustly Improving LLM Fairness in Realistic Settings via Interpretability Unresolved cited work

Reference 7

Resolution: unresolved; raw_fallback, observed 2026-08-07T04:18:36.812543Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 0ec5b0ae-f43d-453f-9ed0-63dec65fda68 · outbound

This paper cites an unresolved cited work.

Robustly Improving LLM Fairness in Realistic Settings via Interpretability Unresolved cited work

Reference 8

Resolution: unresolved; raw_fallback, observed 2026-08-07T04:18:36.491245Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 7fd4468d-0ad2-438d-9b21-c7447b16accc · outbound

This paper cites an unresolved cited work.

Robustly Improving LLM Fairness in Realistic Settings via Interpretability Unresolved cited work

Reference 10

Resolution: unresolved; raw_fallback, observed 2026-08-07T04:18:36.187909Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 34c0ec5f-8171-49ef-b6d8-ad7ba90d1823 · outbound

This paper cites an unresolved cited work.

Robustly Improving LLM Fairness in Realistic Settings via Interpretability Unresolved cited work

Reference 11

Resolution: unresolved; raw_fallback, observed 2026-08-07T04:18:35.866522Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation e5898876-3473-4e73-b335-f209089629f2 · outbound

This paper cites highly competitive.

Robustly Improving LLM Fairness in Realistic Settings via Interpretability highly competitive

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:18:35.594889Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation b9afb0f9-c4cc-4efd-afd8-86a0355162a3 · outbound

This paper cites Designing a Dashboard for Transparency and Control of Conversational AI.

Robustly Improving LLM Fairness in Realistic Settings via Interpretability Designing a Dashboard for Transparency and Control of Conversational AI

Reference 9203

Resolution: unresolved; no resolver link, observed 2026-08-07T04:18:33.646142Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation b5cb2b18-bf5b-4cb2-a368-6079c85538e4 · inbound

When Chain of Thought is Necessary, Language Models Struggle to Evade Monitors cites this paper.

When Chain of Thought is Necessary, Language Models Struggle to Evade Monitors Robustly Improving LLM Fairness in Realistic Settings via Interpretability

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-06T19:34:55.741915Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3d41ad85-7460-4f61-bd0f-d3b7029a0480 · inbound

Biases in the Blind Spot: Detecting What LLMs Fail to Mention cites this paper.

Biases in the Blind Spot: Detecting What LLMs Fail to Mention Robustly Improving LLM Fairness in Realistic Settings via Interpretability

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-03T01:20:07.487646Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d184ba1b-a8be-4a5f-863d-2dd155580bfc · inbound

Ads in AI Chatbots? An Analysis of How Large Language Models Navigate Conflicts of Interest cites this paper.

Ads in AI Chatbots? An Analysis of How Large Language Models Navigate Conflicts of Interest Robustly Improving LLM Fairness in Realistic Settings via Interpretability

Reference 54

Resolution: verified exact; arxiv_id, observed 2026-05-11T07:26:02.249650Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation c9b1b196-d0a5-4b8c-b08c-abbc02fc9cf2 · inbound

Gender Bias in LLM Hiring Decisions: Evidence from a Japanese Context and Evaluation of Mitigation Strategies cites this paper.

Gender Bias in LLM Hiring Decisions: Evidence from a Japanese Context and Evaluation of Mitigation Strategies Robustly Improving LLM Fairness in Realistic Settings via Interpretability

Reference 6

Resolution: metadata mismatch; arxiv_id, observed 2026-07-04T02:49:25.207323Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.