Paper Citation Record · LEDGER

Right Question is Already Half the Answer: Fully Unsupervised LLM Reasoning Incentivization

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 33 inbound Pith citation observations for arXiv:2504.05812.

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

pith.paper-citation-record.v1
2504.05812 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 33 of 33 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 33 of 33 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T20:40:13.032436Z

measured 1 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

0
pith, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation f872eae1-12ef-47fa-8932-3b10e4dffb34 · inbound

Reinforcement Learning for Reasoning in Large Language Models with One Training Example cites this paper.

Reinforcement Learning for Reasoning in Large Language Models with One Training Example Right Question is Already Half the Answer: Fully Unsupervised LLM Reasoning Incentivization

Reference 46

Resolution: verified exact; arxiv_id, observed 2026-05-15T19:51:05.021005Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 2502b848-428b-4b18-bfe3-feaa41f62102 · inbound

SEED-GRPO: Semantic Entropy Enhanced GRPO for Uncertainty-Aware Policy Optimization cites this paper.

SEED-GRPO: Semantic Entropy Enhanced GRPO for Uncertainty-Aware Policy Optimization Right Question is Already Half the Answer: Fully Unsupervised LLM Reasoning Incentivization

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-15T20:40:13.032436Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ccb8f4d4-1967-4723-8ba4-f22c4e2ddf11 · inbound

The Unreasonable Effectiveness of Entropy Minimization in LLM Reasoning cites this paper.

The Unreasonable Effectiveness of Entropy Minimization in LLM Reasoning Right Question is Already Half the Answer: Fully Unsupervised LLM Reasoning Incentivization

Reference 99

Resolution: verified exact; arxiv_id, observed 2026-05-18T15:58:33.591541Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation faa37307-72ef-439b-9160-a7171164c542 · inbound

Reinforcing Video Reasoning with Focused Thinking cites this paper.

Reinforcing Video Reasoning with Focused Thinking Right Question is Already Half the Answer: Fully Unsupervised LLM Reasoning Incentivization

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-07T12:22:13.915142Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d96c8c71-2b16-4466-af1d-22da45d8d444 · inbound

Consistent Paths Lead to Truth: Self-Rewarding Reinforcement Learning for LLM Reasoning cites this paper.

Consistent Paths Lead to Truth: Self-Rewarding Reinforcement Learning for LLM Reasoning Right Question is Already Half the Answer: Fully Unsupervised LLM Reasoning Incentivization

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-07T05:09:45.969598Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f77a8b28-5f4d-4a83-996b-b80cfc92e079 · inbound

Socratic RL: A Novel Framework for Efficient Knowledge Acquisition through Iterative Reflection and Viewpoint Distillation cites this paper.

Socratic RL: A Novel Framework for Efficient Knowledge Acquisition through Iterative Reflection and Viewpoint Distillation Right Question is Already Half the Answer: Fully Unsupervised LLM Reasoning Incentivization

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-15T20:07:05.110212Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3270981c-bc09-460b-9d43-a36dafd58e5a · inbound

No Free Lunch: Rethinking Internal Feedback for LLM Reasoning cites this paper.

No Free Lunch: Rethinking Internal Feedback for LLM Reasoning Right Question is Already Half the Answer: Fully Unsupervised LLM Reasoning Incentivization

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-06T23:35:26.644332Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f4ab2f1a-28d1-45fc-9b71-6c201380e3f5 · inbound

Maximizing Prefix-Confidence at Test-Time Efficiently Improves Mathematical Reasoning cites this paper.

Maximizing Prefix-Confidence at Test-Time Efficiently Improves Mathematical Reasoning Right Question is Already Half the Answer: Fully Unsupervised LLM Reasoning Incentivization

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-06T14:43:53.296475Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 747bd84f-aaff-4c49-8042-15dc9311dd0b · inbound

Know When to Explore: Difficulty-Aware Certainty as a Guide for LLM Reinforcement Learning cites this paper.

Know When to Explore: Difficulty-Aware Certainty as a Guide for LLM Reinforcement Learning Right Question is Already Half the Answer: Fully Unsupervised LLM Reasoning Incentivization

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-05T14:23:53.805378Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 697a7a5f-2530-4662-8311-315ed08504e2 · inbound

Harnessing Uncertainty: Entropy-Modulated Policy Gradients for Long-Horizon LLM Agents cites this paper.

Harnessing Uncertainty: Entropy-Modulated Policy Gradients for Long-Horizon LLM Agents Right Question is Already Half the Answer: Fully Unsupervised LLM Reasoning Incentivization

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-04T19:29:00.555925Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 798cff28-f776-4c9a-a670-6146378a044d · inbound

Self-Evolving Vision-Language Models for Image Quality Assessment via Voting and Ranking cites this paper.

Self-Evolving Vision-Language Models for Image Quality Assessment via Voting and Ranking Right Question is Already Half the Answer: Fully Unsupervised LLM Reasoning Incentivization

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-04T13:42:31.659664Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f5aab0f4-904b-48b3-b249-9fee88d46222 · inbound

Plan Then Action:High-Level Planning Guidance Reinforcement Learning for LLM Reasoning cites this paper.

Plan Then Action:High-Level Planning Guidance Reinforcement Learning for LLM Reasoning Right Question is Already Half the Answer: Fully Unsupervised LLM Reasoning Incentivization

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-04T12:52:28.369096Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5b5ae84b-f730-47fb-b671-73d40ce6f37d · inbound

Breaking the Self-Confirming Loop: Diagnosing and Mitigating Systemic Reward Bias in Self-Rewarding RL cites this paper.

Breaking the Self-Confirming Loop: Diagnosing and Mitigating Systemic Reward Bias in Self-Rewarding RL Right Question is Already Half the Answer: Fully Unsupervised LLM Reasoning Incentivization

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-04T10:44:32.187306Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c101a8eb-45cf-44a7-a4e0-633897d475cb · inbound

CPMobius: Iterative Coach-Player Reasoning for Data-Free Reinforcement Learning cites this paper.

CPMobius: Iterative Coach-Player Reasoning for Data-Free Reinforcement Learning Right Question is Already Half the Answer: Fully Unsupervised LLM Reasoning Incentivization

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-03T05:14:22.069080Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e49f4d05-92ec-42b3-b369-bebae749d2dc · inbound

VI-CuRL: Stabilizing Verifier-Independent RL Reasoning via Confidence-Guided Variance Reduction cites this paper.

VI-CuRL: Stabilizing Verifier-Independent RL Reasoning via Confidence-Guided Variance Reduction Right Question is Already Half the Answer: Fully Unsupervised LLM Reasoning Incentivization

Reference 36

Resolution: verified exact; arxiv_id, observed 2026-05-25T07:26:41.736695Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation e7444054-0638-4bca-97b1-15dfa8bd05c1 · inbound

SARL: Label-Free Reinforcement Learning by Rewarding Reasoning Topology cites this paper.

SARL: Label-Free Reinforcement Learning by Rewarding Reasoning Topology Right Question is Already Half the Answer: Fully Unsupervised LLM Reasoning Incentivization

Reference 30

Resolution: verified exact; arxiv_id, observed 2026-05-14T22:23:03.577833Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 1620394a-5db7-476b-878b-594992143284 · inbound

Can LLMs Learn to Reason Robustly under Noisy Supervision? cites this paper.

Can LLMs Learn to Reason Robustly under Noisy Supervision? Right Question is Already Half the Answer: Fully Unsupervised LLM Reasoning Incentivization

Reference 34

Resolution: verified exact; arxiv_id, observed 2026-05-13T17:08:01.267693Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation ace6045b-4a2b-45b5-83d6-fa07d474bbb3 · inbound

ZeroCoder: Can LLMs Improve Code Generation Without Ground-Truth Supervision? cites this paper.

ZeroCoder: Can LLMs Improve Code Generation Without Ground-Truth Supervision? Right Question is Already Half the Answer: Fully Unsupervised LLM Reasoning Incentivization

Reference 51

Resolution: verified exact; arxiv_id, observed 2026-05-11T00:20:51.797944Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation fdaba3ed-b7b3-49d7-aaf4-79dd35dc93b1 · inbound

Eliciting Medical Reasoning with Knowledge-enhanced Data Synthesis: A Semi-Supervised Reinforcement Learning Approach cites this paper.

Eliciting Medical Reasoning with Knowledge-enhanced Data Synthesis: A Semi-Supervised Reinforcement Learning Approach Right Question is Already Half the Answer: Fully Unsupervised LLM Reasoning Incentivization

Reference 8

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T10:56:02.613184Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation b03f0231-88d5-41b8-972d-ca08f6ba4319 · inbound

Too Correct to Learn: Reinforcement Learning on Saturated Reasoning Data cites this paper.

Too Correct to Learn: Reinforcement Learning on Saturated Reasoning Data Right Question is Already Half the Answer: Fully Unsupervised LLM Reasoning Incentivization

Reference 16

Resolution: metadata mismatch; arxiv_id, observed 2026-05-10T05:36:02.057418Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation bf6d7a23-a01b-4f6a-8ca1-5d8763337f9c · inbound

StraTA: Incentivizing Agentic Reinforcement Learning with Strategic Trajectory Abstraction cites this paper.

StraTA: Incentivizing Agentic Reinforcement Learning with Strategic Trajectory Abstraction Right Question is Already Half the Answer: Fully Unsupervised LLM Reasoning Incentivization

Reference 45

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T20:11:12.234550Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation de5143a8-d07a-4421-9ad5-12e4fd889d43 · inbound

OracleTSC: Oracle-Informed Reward Hurdle and Uncertainty Regularization for Traffic Signal Control cites this paper.

OracleTSC: Oracle-Informed Reward Hurdle and Uncertainty Regularization for Traffic Signal Control Right Question is Already Half the Answer: Fully Unsupervised LLM Reasoning Incentivization

Reference 22

Resolution: metadata mismatch; arxiv_id, observed 2026-05-12T08:36:26.934986Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 012ab47c-5b0a-4a1f-82c7-1240e448662f · inbound

Breaking $\textit{Winner-Takes-All}$: Cooperative Policy Optimization Improves Diverse LLM Reasoning cites this paper.

Breaking $\textit{Winner-Takes-All}$: Cooperative Policy Optimization Improves Diverse LLM Reasoning Right Question is Already Half the Answer: Fully Unsupervised LLM Reasoning Incentivization

Reference 41

Resolution: verified exact; arxiv_id, observed 2026-05-13T02:07:09.050141Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation bcb43b4b-7ee9-4305-bc98-03103ae8f655 · inbound

Breaking $\textit{Winner-Takes-All}$: Cooperative Policy Optimization Improves Diverse LLM Reasoning cites this paper.

Breaking $\textit{Winner-Takes-All}$: Cooperative Policy Optimization Improves Diverse LLM Reasoning Right Question is Already Half the Answer: Fully Unsupervised LLM Reasoning Incentivization

Reference 41

Resolution: verified exact; arxiv_id, observed 2026-05-20T22:49:10.570853Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation aa455587-5ff9-4913-819e-cf313bf74a6f · inbound

PluRule: A Benchmark for Moderating Pluralistic Communities on Social Media cites this paper.

PluRule: A Benchmark for Moderating Pluralistic Communities on Social Media Right Question is Already Half the Answer: Fully Unsupervised LLM Reasoning Incentivization

Reference 50

Resolution: verified exact; arxiv_id, observed 2026-05-20T14:08:20.454430Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 8e5a1d7e-9f9f-4e73-951d-06be1ae44ca3 · inbound

Why Semantic Entropy Fails: Geometry-Aware and Calibrated Uncertainty for Policy Optimization cites this paper.

Why Semantic Entropy Fails: Geometry-Aware and Calibrated Uncertainty for Policy Optimization Right Question is Already Half the Answer: Fully Unsupervised LLM Reasoning Incentivization

Reference 18

Resolution: verified exact; arxiv_id, observed 2026-05-22T08:54:45.763620Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 76cf23bc-fa70-4e46-ba30-31baa4c5f92e · inbound

When Self-Belief Misleads: Active Label Acquisition for Reinforcement Learning with Verifiable Rewards cites this paper.

When Self-Belief Misleads: Active Label Acquisition for Reinforcement Learning with Verifiable Rewards Right Question is Already Half the Answer: Fully Unsupervised LLM Reasoning Incentivization

Reference 50

Resolution: verified exact; arxiv_id, observed 2026-06-29T23:04:01.329523Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 24bdac98-83ff-46a8-911f-ab6accbe959b · inbound

On the Generalization Gap in Self-Evolving Language Model Reasoning cites this paper.

On the Generalization Gap in Self-Evolving Language Model Reasoning Right Question is Already Half the Answer: Fully Unsupervised LLM Reasoning Incentivization

Reference 46

Resolution: verified exact; arxiv_id, observed 2026-06-28T17:22:24.919029Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 9bf97f62-f105-4923-a36e-4f2194fd0b89 · inbound

Trust Region On-Policy Distillation cites this paper.

Trust Region On-Policy Distillation Right Question is Already Half the Answer: Fully Unsupervised LLM Reasoning Incentivization

Reference 67

Resolution: metadata mismatch; arxiv_id, observed 2026-07-01T20:46:14.339011Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation e7df529a-4b27-42d3-acfc-bf84f707eb8d · inbound

Back on Track: Aligning Rewards and States for Reasoning in Diffusion Large Language Models cites this paper.

Back on Track: Aligning Rewards and States for Reasoning in Diffusion Large Language Models Right Question is Already Half the Answer: Fully Unsupervised LLM Reasoning Incentivization

Reference 44

Resolution: metadata mismatch; arxiv_id, observed 2026-07-02T22:57:26.574378Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation e65cf1e1-7936-4b03-9069-6500ea32705a · inbound

Continual Test-Time Adaptation in Computer Vision: Methods, Benchmarks, and Future Directions cites this paper.

Continual Test-Time Adaptation in Computer Vision: Methods, Benchmarks, and Future Directions Right Question is Already Half the Answer: Fully Unsupervised LLM Reasoning Incentivization

Reference 33

Resolution: verified exact; local_arxiv, observed 2026-07-10T12:07:03.466523Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation fa1b5eb4-f59a-4f18-8e82-07f57f55f4f6 · inbound

Continual Test-Time Adaptation in Computer Vision: Methods, Benchmarks, and Future Directions cites this paper.

Continual Test-Time Adaptation in Computer Vision: Methods, Benchmarks, and Future Directions Right Question is Already Half the Answer: Fully Unsupervised LLM Reasoning Incentivization

Reference 33

Resolution: unresolved; no resolver link, observed 2026-07-14T15:38:28.159585Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9cfbb828-d21e-44c6-8a5b-d32ece739d6f · inbound

On-Policy Self-Distillation without Any Supervision cites this paper.

On-Policy Self-Distillation without Any Supervision Right Question is Already Half the Answer: Fully Unsupervised LLM Reasoning Incentivization

Reference 2019

Resolution: unresolved; no resolver link, observed 2026-08-07T10:19:43.621441Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.