Paper Citation Record · LEDGER

Dense Reward for Free in Reinforcement Learning from Human Feedback

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 16 inbound Pith citation observations for arXiv:2402.00782.

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

pith.paper-citation-record.v1
2402.00782 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

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 16 of 16 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:31:46.566747Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T10:39:45.380468Z

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 c62c326f-aff4-402f-9beb-a0c31d46f666 · inbound

Agent Q: Advanced Reasoning and Learning for Autonomous AI Agents cites this paper.

Agent Q: Advanced Reasoning and Learning for Autonomous AI Agents Dense Reward for Free in Reinforcement Learning from Human Feedback

Reference 212

Resolution: verified exact; arxiv_id, observed 2026-05-20T09:42:04.405371Z

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 89aedb79-5dcd-4cae-bd54-dd6f3cd454ff · inbound

OpenReview Should be Protected and Leveraged as a Community Asset for Research in the Era of Large Language Models cites this paper.

OpenReview Should be Protected and Leveraged as a Community Asset for Research in the Era of Large Language Models Dense Reward for Free in Reinforcement Learning from Human Feedback

Reference 134

Resolution: unresolved; no resolver link, observed 2026-08-07T14:31:46.566747Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 04b3437d-e8a2-4c38-90df-e92982a2163d · inbound

Modeling and Optimizing User Preferences in AI Copilots: A Comprehensive Survey and Taxonomy cites this paper.

Modeling and Optimizing User Preferences in AI Copilots: A Comprehensive Survey and Taxonomy Dense Reward for Free in Reinforcement Learning from Human Feedback

Reference 98

Resolution: unresolved; no resolver link, observed 2026-08-07T13:24:30.201304Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3d4739b4-8fbb-4f16-9d85-ca8afd503afd · inbound

Response-Level Rewards Are All You Need for Online Reinforcement Learning in LLMs: A Mathematical Perspective cites this paper.

Response-Level Rewards Are All You Need for Online Reinforcement Learning in LLMs: A Mathematical Perspective Dense Reward for Free in Reinforcement Learning from Human Feedback

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-07T11:32:29.474618Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eeafc856-3917-4b89-81e4-fc7dc8fc5775 · inbound

Enhancing RLHF with Human Gaze Modeling cites this paper.

Enhancing RLHF with Human Gaze Modeling Dense Reward for Free in Reinforcement Learning from Human Feedback

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-06T18:11:15.717117Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 86dc17e9-3288-47f0-beb1-d6f026a9a300 · inbound

Inverse Reinforcement Learning Meets Large Language Model Post-Training: Basics, Advances, and Opportunities cites this paper.

Inverse Reinforcement Learning Meets Large Language Model Post-Training: Basics, Advances, and Opportunities Dense Reward for Free in Reinforcement Learning from Human Feedback

Reference 1995

Resolution: unresolved; no resolver link, observed 2026-08-06T16:34:24.959248Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0d5c9c75-420b-4e5e-8e4a-28b9c5425713 · inbound

GRPO-VPS: Enhancing Group Relative Policy Optimization with Verifiable Process Supervision for Effective Reasoning cites this paper.

GRPO-VPS: Enhancing Group Relative Policy Optimization with Verifiable Process Supervision for Effective Reasoning Dense Reward for Free in Reinforcement Learning from Human Feedback

Reference 1

Resolution: verified exact; arxiv_id, observed 2026-05-10T00:14:46.356805Z

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 c5392912-1faf-4e67-a8c5-ad70b0730da2 · inbound

BoostAPR: Boosting Automated Program Repair via Execution-Grounded Reinforcement Learning with Dual Reward Models cites this paper.

BoostAPR: Boosting Automated Program Repair via Execution-Grounded Reinforcement Learning with Dual Reward Models Dense Reward for Free in Reinforcement Learning from Human Feedback

Reference 80

Resolution: metadata mismatch; arxiv_id, observed 2026-05-12T03:11:18.973585Z

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 adaaacc2-3461-49f7-b636-482d7be0e49b · inbound

BoostAPR: Boosting Automated Program Repair via Execution-Grounded Reinforcement Learning with Dual Reward Models cites this paper.

BoostAPR: Boosting Automated Program Repair via Execution-Grounded Reinforcement Learning with Dual Reward Models Dense Reward for Free in Reinforcement Learning from Human Feedback

Reference 87

Resolution: metadata mismatch; arxiv_id, observed 2026-05-13T06:07:22.397309Z

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 f64647a0-71af-4baf-9b8e-a5e4a8c7f973 · inbound

Multi-Rollout On-Policy Distillation via Peer Successes and Failures cites this paper.

Multi-Rollout On-Policy Distillation via Peer Successes and Failures Dense Reward for Free in Reinforcement Learning from Human Feedback

Reference 41

Resolution: verified exact; arxiv_id, observed 2026-05-14T21:32:59.813847Z

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 445c0768-7675-4872-ad45-920470cccdbd · inbound

Multi-Rollout On-Policy Distillation via Peer Successes and Failures cites this paper.

Multi-Rollout On-Policy Distillation via Peer Successes and Failures Dense Reward for Free in Reinforcement Learning from Human Feedback

Reference 1

Resolution: metadata mismatch; arxiv_id, observed 2026-06-30T22:05:05.717282Z

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 65932d75-77af-4ff1-a506-947e7a565913 · inbound

BALTO: Balanced Token-Level Policy Optimization for Hallucination Mitigation cites this paper.

BALTO: Balanced Token-Level Policy Optimization for Hallucination Mitigation Dense Reward for Free in Reinforcement Learning from Human Feedback

Reference 4

Resolution: verified exact; arxiv_id, observed 2026-07-03T17:28:44.652844Z

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 aa517d00-67a1-44a2-a698-d2b0ee743b75 · inbound

Dense Reward for Multi-View 3D Reasoning with Global Maps and Local Views cites this paper.

Dense Reward for Multi-View 3D Reasoning with Global Maps and Local Views Dense Reward for Free in Reinforcement Learning from Human Feedback

Reference 4

Resolution: verified exact; arxiv_id, observed 2026-07-04T10:39:45.381977Z

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 cf6a8f44-ebf0-4252-9e1f-b8ab5467c684 · inbound

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

Multi-Turn On-Policy Distillation with Prefix Replay Dense Reward for Free in Reinforcement Learning from Human Feedback

Reference 290

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 dc916ebb-4544-40d8-a59a-ffbe1455bcca · inbound

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

Multi-Turn On-Policy Distillation with Prefix Replay Dense Reward for Free in Reinforcement Learning from Human Feedback

Reference 291

Resolution: unresolved; no resolver link, observed 2026-08-02T08:41:06.582566Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 497c2e34-36c3-4fa8-897d-2935a505487d · inbound

SCOPE and SCION: A Benchmark and an Auditable Reference Pipeline for Schema Induction and Fusion from Text cites this paper.

SCOPE and SCION: A Benchmark and an Auditable Reference Pipeline for Schema Induction and Fusion from Text Dense Reward for Free in Reinforcement Learning from Human Feedback

Reference 96

Resolution: unresolved; no resolver link, observed 2026-08-02T13:37:01.518021Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.