Paper Citation Record · LEDGER

RLSR: Reinforcement Learning from Self Reward

As of 22 August 2026, this Paper Citation Record lists 12 of 12 outbound references and 5 inbound Pith citation observations for arXiv:2505.08827.

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

pith.paper-citation-record.v1
2505.08827 v2

Coverage vector

measured 12 of 12 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T22:08:14.380006Z

measured 17 of 17 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-01T11:40:35.592082Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-08T21:25:38.647436Z

Reference resolution

12 of 12 outbound references displayed

verified exact1
verified fuzzy2
unresolved9
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 150bbdbe-00ab-475c-a282-e1d4dc0649a6 · outbound

This paper cites Weak-to-Strong Generalization: Eliciting Strong Capabilities With Weak Supervision.

RLSR: Reinforcement Learning from Self Reward Weak-to-Strong Generalization: Eliciting Strong Capabilities With Weak Supervision

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-15T22:08:14.303725Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2421c312-9b83-4b1f-a0eb-d417690eeaeb · outbound

This paper cites Training language models to follow instructions with human feedback.

RLSR: Reinforcement Learning from Self Reward Training language models to follow instructions with human feedback

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-15T22:08:14.310242Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 02b5632a-1dbe-4f0c-897c-b075c6246e53 · outbound

This paper cites Qwen2.5 Technical Report.

RLSR: Reinforcement Learning from Self Reward Qwen2.5 Technical Report

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-15T22:08:14.317312Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e65875a3-b079-44c9-9bb9-2471363a8f63 · outbound

This paper cites Brief analysis of DeepSeek R1 and its implications for Generative AI.

RLSR: Reinforcement Learning from Self Reward Brief analysis of DeepSeek R1 and its implications for Generative AI

Reference 4

Resolution: verified exact; local_arxiv, observed 2026-08-15T22:08:14.551971Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 06b6859c-5575-4d61-aae9-3d662716bd14 · outbound

This paper cites DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models.

RLSR: Reinforcement Learning from Self Reward DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-15T22:08:14.331680Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation acfa1bba-7b98-4951-8586-a49314443f75 · outbound

This paper cites Tinyzero.https://github.

RLSR: Reinforcement Learning from Self Reward Tinyzero.https://github

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:08:14.647151Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation f7042a25-d2eb-4740-ba26-1c2e9ab0f32e · outbound

This paper cites Self-Rewarding Language Models.

RLSR: Reinforcement Learning from Self Reward Self-Rewarding Language Models

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-15T22:08:14.346804Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b61533b0-0246-4603-bf2a-f7752b6e0c6b · outbound

This paper cites LADDER: Self-Improving LLMs Through Recursive Problem Decomposition.

RLSR: Reinforcement Learning from Self Reward LADDER: Self-Improving LLMs Through Recursive Problem Decomposition

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-15T22:08:14.353504Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3e66ccfd-3195-44b2-ac3e-ed8e964fee0a · outbound

This paper cites WEAK-TO-STRONG GENERALIZATION: ELICITING STRONG CAPABILITIES WITH WEAK SUPERVISION.

RLSR: Reinforcement Learning from Self Reward WEAK-TO-STRONG GENERALIZATION: ELICITING STRONG CAPABILITIES WITH WEAK SUPERVISION

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:08:14.629739Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 32cfb0a2-bf45-47c6-8b78-a45fda698d6d · outbound

This paper cites Supervising strong learners by amplifying weak experts.

RLSR: Reinforcement Learning from Self Reward Supervising strong learners by amplifying weak experts

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-15T22:08:14.365141Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b90f31ec-350d-4086-a406-bd6824b2a561 · outbound

This paper cites Risks from Learned Optimization in Advanced Machine Learning Systems.

RLSR: Reinforcement Learning from Self Reward Risks from Learned Optimization in Advanced Machine Learning Systems

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-15T22:08:14.371218Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7114c5e3-3c39-401c-9e7b-02e4d0bfa71d · outbound

This paper cites CodeRL: Mastering Code Generation through Pretrained Models and Deep Reinforcement Learning.

RLSR: Reinforcement Learning from Self Reward CodeRL: Mastering Code Generation through Pretrained Models and Deep Reinforcement Learning

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-15T22:08:14.380006Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation 00c1700a-e9b8-41b0-a2e4-0874cb7e3076 · inbound

Self-Rewarding Vision-Language Model via Reasoning Decomposition cites this paper.

Self-Rewarding Vision-Language Model via Reasoning Decomposition RLSR: Reinforcement Learning from Self Reward

Reference 19

Resolution: verified exact; arxiv_id, observed 2026-05-18T21:06:50.865244Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation b784f6f3-78d9-4dde-b611-bb52576ec7e8 · inbound

Training LLM Agents for Spontaneous, Reward-Free Self-Evolution via World Knowledge Exploration cites this paper.

Training LLM Agents for Spontaneous, Reward-Free Self-Evolution via World Knowledge Exploration RLSR: Reinforcement Learning from Self Reward

Reference 33

Resolution: metadata mismatch; arxiv_id, observed 2026-05-10T12:10:23.385138Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 1eec3f3a-b3b7-4bd3-adb4-59b061e12f4f · inbound

Primal Generation, Dual Judgment: Self-Training from Test-Time Scaling cites this paper.

Primal Generation, Dual Judgment: Self-Training from Test-Time Scaling RLSR: Reinforcement Learning from Self Reward

Reference 101

Resolution: metadata mismatch; arxiv_id, observed 2026-05-14T20:47:58.125632Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 74981873-42cf-49ce-8db6-a0512b782060 · inbound

More Convincing, Not More Correct: Self-Play Reward Hacking of Reference-Free LLM Judges cites this paper.

More Convincing, Not More Correct: Self-Play Reward Hacking of Reference-Free LLM Judges RLSR: Reinforcement Learning from Self Reward

Reference 10

Resolution: metadata mismatch; local_arxiv, observed 2026-07-08T21:25:38.648851Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation e9e496ea-6c54-46c8-a5e7-970221b930b3 · inbound

Rewarding Better Thinking for LLM Preference Alignment cites this paper.

Rewarding Better Thinking for LLM Preference Alignment RLSR: Reinforcement Learning from Self Reward

Reference 2025

Resolution: unresolved; no resolver link, observed 2026-08-01T11:40:35.592082Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.