Paper Citation Record · LEDGER

Online Iterative Reinforcement Learning from Human Feedback with General Preference Model

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 12 inbound Pith citation observations for arXiv:2402.07314.

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

pith.paper-citation-record.v1
2402.07314 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 12 of 12 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 12 of 12 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T14:33:57.516039Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T12:06:55.872592Z

Reference resolution

0 of 0 outbound references displayed

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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 1db72c5e-c4f9-4a0f-a0a4-ca77ce1a4faf · inbound

DSTC: Direct Preference Learning with Only Self-Generated Tests and Code to Improve Code LMs cites this paper.

DSTC: Direct Preference Learning with Only Self-Generated Tests and Code to Improve Code LMs Online Iterative Reinforcement Learning from Human Feedback with General Preference Model

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-12T17:05:15.209576Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e98b4f2e-9bb9-48cf-aa18-cc9c55bd8095 · inbound

Self-Improvement in Language Models: The Sharpening Mechanism cites this paper.

Self-Improvement in Language Models: The Sharpening Mechanism Online Iterative Reinforcement Learning from Human Feedback with General Preference Model

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-12T00:11:14.827757Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 800496e3-91e4-41d9-88cc-260b1ff6e4e5 · inbound

Imitate, Explore, and Self-Improve: A Reproduction Report on Slow-thinking Reasoning Systems cites this paper.

Imitate, Explore, and Self-Improve: A Reproduction Report on Slow-thinking Reasoning Systems Online Iterative Reinforcement Learning from Human Feedback with General Preference Model

Reference 31

Resolution: verified exact; arxiv_id, observed 2026-05-18T00:35:31.494836Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation f56f94a3-d0d3-4a03-a3a8-816047500123 · inbound

Hybrid Preference Optimization for Alignment: Provably Faster Convergence Rates by Combining Offline Preferences with Online Exploration cites this paper.

Hybrid Preference Optimization for Alignment: Provably Faster Convergence Rates by Combining Offline Preferences with Online Exploration Online Iterative Reinforcement Learning from Human Feedback with General Preference Model

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-11T15:55:20.419053Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4a78435b-0abb-422c-95b9-2722526d7a4a · inbound

Shallow Preference Signals: Large Language Model Aligns Even Better with Truncated Data? cites this paper.

Shallow Preference Signals: Large Language Model Aligns Even Better with Truncated Data? Online Iterative Reinforcement Learning from Human Feedback with General Preference Model

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-07T15:15:46.376259Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 62417c3d-95fc-47b8-9e9b-f5ba558409e3 · inbound

Outcome-Based Online Reinforcement Learning: Algorithms and Fundamental Limits cites this paper.

Outcome-Based Online Reinforcement Learning: Algorithms and Fundamental Limits Online Iterative Reinforcement Learning from Human Feedback with General Preference Model

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-07T14:10:43.394782Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 683f5707-3ded-4ea2-9359-4f792525dc08 · inbound

Best-of-N through the Smoothing Lens: KL Divergence and Regret Analysis cites this paper.

Best-of-N through the Smoothing Lens: KL Divergence and Regret Analysis Online Iterative Reinforcement Learning from Human Feedback with General Preference Model

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-06T19:28:59.337652Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 681a11cf-4fc8-4558-aaed-db5ba133eae9 · 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 Online Iterative Reinforcement Learning from Human Feedback with General Preference Model

Reference 48

Resolution: metadata mismatch; arxiv_id, observed 2026-05-12T06:56:31.027663Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 15262199-a874-49e4-8ca7-17e4457fbee4 · inbound

Near-Optimal Last-Iterate Convergence for Zero-Sum Games with Bandit Feedback and Opponent Actions cites this paper.

Near-Optimal Last-Iterate Convergence for Zero-Sum Games with Bandit Feedback and Opponent Actions Online Iterative Reinforcement Learning from Human Feedback with General Preference Model

Reference 40

Resolution: metadata mismatch; arxiv_id, observed 2026-05-12T06:56:31.615988Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation c02ab51e-a296-4c6f-ab53-b9a3347391f8 · inbound

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

Online KL-Regularized Reinforcement Learning with Function Approximation under Misspecification Online Iterative Reinforcement Learning from Human Feedback with General Preference Model

Reference 22

Resolution: verified exact; arxiv_id, observed 2026-07-02T12:06:55.873915Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation d4255a95-1077-4dd9-8b92-ceef7e6f0dd4 · inbound

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

Online KL-Regularized Reinforcement Learning with Function Approximation under Misspecification Online Iterative Reinforcement Learning from Human Feedback with General Preference Model

Reference 22

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 02081b23-56b9-48b2-9542-1b49feb4a21a · inbound

Beyond Post-Hoc Temperature Scaling: Bilevel Optimization for LLM Calibration cites this paper.

Beyond Post-Hoc Temperature Scaling: Bilevel Optimization for LLM Calibration Online Iterative Reinforcement Learning from Human Feedback with General Preference Model

Reference 161

Resolution: unresolved; no resolver link, observed 2026-08-15T14:33:57.516039Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.