Paper Citation Record · LEDGER

Nash Learning from Human Feedback

As of 6 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 19 inbound Pith citation observations for arXiv:2312.00886.

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

pith.paper-citation-record.v1
2312.00886 v4

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 19 of 19 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-06T06:34:29.942622+00:00

measured 19 of 19 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T22:08:56.617012Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T12:06:55.872775Z

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 148b4597-b560-4a14-9dee-189fc89bff1f · inbound

KTO: Model Alignment as Prospect Theoretic Optimization cites this paper.

KTO: Model Alignment as Prospect Theoretic Optimization Nash Learning from Human Feedback

Reference 13

Resolution: metadata mismatch; arxiv_id, observed 2026-05-12T12:17:53.556390Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 526fd740-085f-4992-a9f9-b3d9e4eebd52 · inbound

UNA: A Unified Supervised Framework for Efficient LLM Alignment Across Feedback Types cites this paper.

UNA: A Unified Supervised Framework for Efficient LLM Alignment Across Feedback Types Nash Learning from Human Feedback

Reference 10

Resolution: verified exact; arxiv_id, observed 2026-05-23T21:23:27.384210Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 15b61f5f-8df9-4c0e-8730-d495dde7959e · inbound

How Humans Help LLMs: Assessing and Incentivizing Human Preference Annotators cites this paper.

How Humans Help LLMs: Assessing and Incentivizing Human Preference Annotators Nash Learning from Human Feedback

Reference 72

Resolution: verified exact; arxiv_id, observed 2026-05-23T03:57:29.556527Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 30aadae7-2443-4c38-9558-65ab51d5d6dd · inbound

Incentivizing High-Quality Human Annotations with Golden Questions cites this paper.

Incentivizing High-Quality Human Annotations with Golden Questions Nash Learning from Human Feedback

Reference 31

Resolution: metadata mismatch; arxiv_id, observed 2026-05-19T13:42:19.361562Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation a3cd3657-fa64-4176-b4ce-dc9a7c65ebfc · inbound

Grounding Natural Language for Multi-agent Decision-Making with Multi-agentic LLMs cites this paper.

Grounding Natural Language for Multi-agent Decision-Making with Multi-agentic LLMs Nash Learning from Human Feedback

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-05T22:08:56.617012Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 60b45b80-0383-4fa7-8acb-c871fe844295 · inbound

Multiplayer Nash Preference Optimization cites this paper.

Multiplayer Nash Preference Optimization Nash Learning from Human Feedback

Reference 18

Resolution: metadata mismatch; arxiv_id, observed 2026-05-18T13:11:23.958548Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 0c981e19-615a-494e-ace3-f7193d967e00 · inbound

Safety Game: Inference-Time Alignment of Black-Box LLMs via Constrained Optimization cites this paper.

Safety Game: Inference-Time Alignment of Black-Box LLMs via Constrained Optimization Nash Learning from Human Feedback

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-04T10:40:57.669889Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e1af94db-53b0-4dd8-9598-0ae13b266a4f · inbound

Safety Alignment of LMs via Non-cooperative Games cites this paper.

Safety Alignment of LMs via Non-cooperative Games Nash Learning from Human Feedback

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-03T14:24:23.615297Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 53a01c0a-9734-478d-ab79-e241af13b989 · inbound

Provably avoiding over-optimization in Direct Preference Optimization without knowing the data distribution cites this paper.

Provably avoiding over-optimization in Direct Preference Optimization without knowing the data distribution Nash Learning from Human Feedback

Reference 21

Resolution: verified exact; arxiv_id, observed 2026-05-16T06:37:28.624270Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 0bde6246-f87d-4b37-868a-439a6fc25875 · inbound

Provably avoiding over-optimization in Direct Preference Optimization without knowing the data distribution cites this paper.

Provably avoiding over-optimization in Direct Preference Optimization without knowing the data distribution Nash Learning from Human Feedback

Reference 21

Resolution: verified exact; arxiv_id, observed 2026-05-21T13:10:10.465569Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 9897e36d-a351-40ec-a2b0-45164887c80c · inbound

Relative Density Ratio Optimization for Stable and Statistically Consistent Model Alignment cites this paper.

Relative Density Ratio Optimization for Stable and Statistically Consistent Model Alignment Nash Learning from Human Feedback

Reference 13

Resolution: metadata mismatch; arxiv_id, observed 2026-05-10T22:35:49.320786Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation b7285d33-29b8-44e5-908d-fe7e2778d833 · inbound

Response Time Enhances Alignment with Heterogeneous Preferences cites this paper.

Response Time Enhances Alignment with Heterogeneous Preferences Nash Learning from Human Feedback

Reference 272

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T04:45:59.579682Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 8342c205-b8dd-4cb3-8264-27178e3552fb · inbound

Rethinking Importance Sampling in LLM Policy Optimization: A Cumulative Token Perspective cites this paper.

Rethinking Importance Sampling in LLM Policy Optimization: A Cumulative Token Perspective Nash Learning from Human Feedback

Reference 23

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T04:30:55.196686Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 04463d32-a51b-422d-b73c-6a22e62e7938 · inbound

Fast Rates for Offline Contextual Bandits with Forward-KL Regularization under Single-Policy Concentrability cites this paper.

Fast Rates for Offline Contextual Bandits with Forward-KL Regularization under Single-Policy Concentrability Nash Learning from Human Feedback

Reference 47

Resolution: metadata mismatch; arxiv_id, observed 2026-05-12T06:56:31.010410Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation d0ebe70e-8901-4f02-8446-3fcfbe42e772 · inbound

Online KL-Regularized Reinforcement Learning with Function Approximation under Misspecification cites this paper.

Online KL-Regularized Reinforcement Learning with Function Approximation under Misspecification Nash Learning from Human Feedback

Reference 10

Resolution: metadata mismatch; arxiv_id, observed 2026-07-02T12:06:55.874192Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 19cc1741-87fe-4ae5-8d02-0f82ff8b90a8 · inbound

Online KL-Regularized Reinforcement Learning with Function Approximation under Misspecification cites this paper.

Online KL-Regularized Reinforcement Learning with Function Approximation under Misspecification Nash Learning from Human Feedback

Reference 10

Resolution: unresolved; no resolver link, observed 2026-07-14T18:23:21.126826Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8106f321-7694-4ef0-89b1-a7aacf6a5055 · inbound

Multi-Turn On-Policy Distillation with Prefix Replay cites this paper.

Multi-Turn On-Policy Distillation with Prefix Replay Nash Learning from Human Feedback

Reference 186

Resolution: unresolved; no resolver link, observed 2026-07-11T13:53:36.775836Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8fed52fb-1125-4a62-ab4c-a71d9d2971f5 · inbound

Multi-Turn On-Policy Distillation with Prefix Replay cites this paper.

Multi-Turn On-Policy Distillation with Prefix Replay Nash Learning from Human Feedback

Reference 187

Resolution: unresolved; no resolver link, observed 2026-08-02T08:40:54.271474Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 59004412-9117-4cb3-bc73-ab0efe768ff1 · inbound

Probably Correct Optimal Stable Matching under Two-Sided Uncertainty cites this paper.

Probably Correct Optimal Stable Matching under Two-Sided Uncertainty Nash Learning from Human Feedback

Reference 17

Resolution: unresolved; no resolver link, observed 2026-07-11T12:55:57.279598Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.