Paper Citation Record · LEDGER

REBEL: Reinforcement Learning via Regressing Relative Rewards

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2404.16767.

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

pith.paper-citation-record.v1
2404.16767 v4

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 8 of 8 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T00:11:14.672865Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-18T04:45:54.895043Z

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 334e2da3-8166-41b8-9891-3350675f0b0e · inbound

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

Self-Improvement in Language Models: The Sharpening Mechanism REBEL: Reinforcement Learning via Regressing Relative Rewards

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-12T00:11:14.672865Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 557f6430-e525-4608-ac5b-88bd1e4649fd · 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 REBEL: Reinforcement Learning via Regressing Relative Rewards

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-11T15:55:20.362579Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 47c6f8f3-e850-427d-a039-f2b44a779a37 · inbound

Square$\chi$PO: Differentially Private and Robust $\chi^2$-Preference Optimization in Offline Direct Alignment cites this paper.

Square$\chi$PO: Differentially Private and Robust $\chi^2$-Preference Optimization in Offline Direct Alignment REBEL: Reinforcement Learning via Regressing Relative Rewards

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-07T13:44:57.195037Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bd99eeb9-8d0e-4a3d-9310-02ab785e3886 · inbound

Alignment and Safety in Large Language Models: Safety Mechanisms, Training Paradigms, and Emerging Challenges cites this paper.

Alignment and Safety in Large Language Models: Safety Mechanisms, Training Paradigms, and Emerging Challenges REBEL: Reinforcement Learning via Regressing Relative Rewards

Reference 234

Resolution: unresolved; no resolver link, observed 2026-08-06T14:13:07.149419Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bdb3b2cc-ab36-4992-85e8-d20e70146954 · inbound

On the Sample Complexity of Differentially Private Policy Optimization cites this paper.

On the Sample Complexity of Differentially Private Policy Optimization REBEL: Reinforcement Learning via Regressing Relative Rewards

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-05-18T04:45:54.898298Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 64401bb4-50c1-4284-9ba8-529ec5fdd178 · inbound

Target Policy Optimization cites this paper.

Target Policy Optimization REBEL: Reinforcement Learning via Regressing Relative Rewards

Reference 4

Resolution: verified exact; arxiv_id, observed 2026-05-10T23:05:48.547299Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation ba279caa-04cb-408f-aeca-b17a6485f1ba · inbound

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

Multi-Turn On-Policy Distillation with Prefix Replay REBEL: Reinforcement Learning via Regressing Relative Rewards

Reference 72

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 053ca9e2-88b8-4a03-8e0f-f300343c83cb · inbound

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

Multi-Turn On-Policy Distillation with Prefix Replay REBEL: Reinforcement Learning via Regressing Relative Rewards

Reference 73

Resolution: unresolved; no resolver link, observed 2026-08-02T08:40:39.691665Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.