Paper Citation Record · LEDGER

FairMT-Bench: Benchmarking Fairness for Multi-turn Dialogue in Conversational LLMs

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2410.19317.

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

pith.paper-citation-record.v1
2410.19317 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:33:48.600994Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-14T01:11:09.155976Z

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 c59347fa-abde-4248-b82d-5fbba45d32f2 · inbound

LLMs Get Lost In Multi-Turn Conversation cites this paper.

LLMs Get Lost In Multi-Turn Conversation FairMT-Bench: Benchmarking Fairness for Multi-turn Dialogue in Conversational LLMs

Reference 20

Resolution: verified exact; arxiv_id, observed 2026-05-14T01:11:09.162442Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 92e7d0be-3799-452d-8fb4-f0c57ee90245 · inbound

B-score: Detecting biases in large language models using response history cites this paper.

B-score: Detecting biases in large language models using response history FairMT-Bench: Benchmarking Fairness for Multi-turn Dialogue in Conversational LLMs

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-07T14:33:48.600994Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 98acf9de-b27f-4b09-9686-0fcdcff63987 · inbound

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

BiasFilter: An Inference-Time Debiasing Framework for Large Language Models FairMT-Bench: Benchmarking Fairness for Multi-turn Dialogue in Conversational LLMs

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-07T13:21:26.943669Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7996a2dc-e8ee-4f89-80f0-629412eae9ba · inbound

Evaluating the Sensitivity of LLMs to Prior Context cites this paper.

Evaluating the Sensitivity of LLMs to Prior Context FairMT-Bench: Benchmarking Fairness for Multi-turn Dialogue in Conversational LLMs

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-07T12:45:44.966603Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a507d76c-e92a-430c-bd82-f1e0c149a058 · inbound

Detection, Classification, and Mitigation of Gender Bias in Large Language Models cites this paper.

Detection, Classification, and Mitigation of Gender Bias in Large Language Models FairMT-Bench: Benchmarking Fairness for Multi-turn Dialogue in Conversational LLMs

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-07T00:51:07.474606Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ae0c8376-9632-42d3-9fb5-412f5f57bee3 · inbound

Datasets and Recipes for Video Temporal Grounding via Reinforcement Learning cites this paper.

Datasets and Recipes for Video Temporal Grounding via Reinforcement Learning FairMT-Bench: Benchmarking Fairness for Multi-turn Dialogue in Conversational LLMs

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-06T14:44:26.750049Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.