Paper Citation Record · LEDGER

Reproducing, Analyzing, and Detecting Reward Hacking in Rubric-Based Reinforcement Learning

As of 5 August 2026, this Paper Citation Record lists 13 of 13 outbound references and 2 inbound Pith citation observations for arXiv:2606.04923.

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

pith.paper-citation-record.v1
2606.04923 v1

Coverage vector

measured 13 of 13 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-28T07:28:09.142557Z

measured 15 of 15 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-05T06:32:48.257954+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-01T03:38:21.327505Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

13 of 13 outbound references displayed

verified exact4
verified fuzzy0
unresolved2
parse uncertain0
malformed identifier0
metadata mismatch7

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation c5d30149-2e59-4ef0-8a2e-e1e49bc48d1d · outbound

This paper cites Process Reinforcement through Implicit Rewards.

Reproducing, Analyzing, and Detecting Reward Hacking in Rubric-Based Reinforcement Learning Process Reinforcement through Implicit Rewards

Reference 1

Resolution: verified exact; local_arxiv, observed 2026-07-02T06:16:43.760659Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation ad52b475-2f43-40fa-8336-a6c0647e623e · outbound

This paper cites Rubrics as Rewards: Reinforcement Learning Beyond Verifiable Domains.

Reproducing, Analyzing, and Detecting Reward Hacking in Rubric-Based Reinforcement Learning Rubrics as Rewards: Reinforcement Learning Beyond Verifiable Domains

Reference 2

Resolution: metadata mismatch; local_arxiv, observed 2026-07-02T06:16:43.763323Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 5e4e8840-30f9-4b58-a5c2-a0bbfe3639b0 · outbound

This paper cites Reinforcement Learning with Rubric Anchors.

Reproducing, Analyzing, and Detecting Reward Hacking in Rubric-Based Reinforcement Learning Reinforcement Learning with Rubric Anchors

Reference 3

Resolution: metadata mismatch; arxiv_id, observed 2026-07-02T06:16:43.765955Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 59e0214f-51f5-4fa5-823b-493cf344dea2 · outbound

This paper cites Writing-Zero: Bridge the Gap Between Non-verifiable Tasks and Verifiable Rewards.

Reproducing, Analyzing, and Detecting Reward Hacking in Rubric-Based Reinforcement Learning Writing-Zero: Bridge the Gap Between Non-verifiable Tasks and Verifiable Rewards

Reference 4

Resolution: verified exact; arxiv_id, observed 2026-07-02T06:16:43.768695Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 116c76d7-88de-4864-9b42-03a1213eeced · outbound

This paper cites Anas Mahmoud, MohammadHossein Rezaei, Zihao Wang, Anisha Gunjal, Bing Liu, and Yunzhong He.

Reproducing, Analyzing, and Detecting Reward Hacking in Rubric-Based Reinforcement Learning Anas Mahmoud, MohammadHossein Rezaei, Zihao Wang, Anisha Gunjal, Bing Liu, and Yunzhong He

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-07-02T06:16:43.752573Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 13a3e2c0-5970-4d88-b2e2-3c943be9f22d · outbound

This paper cites Reward Hacking in Rubric-Based Reinforcement Learning.

Reproducing, Analyzing, and Detecting Reward Hacking in Rubric-Based Reinforcement Learning Reward Hacking in Rubric-Based Reinforcement Learning

Reference 6

Resolution: metadata mismatch; local_arxiv, observed 2026-07-02T06:16:43.741991Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 21f02363-1a98-43df-8bac-c410e831d4b1 · outbound

This paper cites LMSYS Arena technical blog and evaluation suite.

Reproducing, Analyzing, and Detecting Reward Hacking in Rubric-Based Reinforcement Learning LMSYS Arena technical blog and evaluation suite

Reference 7

Resolution: unresolved; no resolver link, observed 2026-06-28T07:28:09.142557Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0c048db2-ceb2-4b26-9b35-27f32a6b8f03 · outbound

This paper cites LLM Evaluators Recognize and Favor Their Own Generations.

Reproducing, Analyzing, and Detecting Reward Hacking in Rubric-Based Reinforcement Learning LLM Evaluators Recognize and Favor Their Own Generations

Reference 8

Resolution: metadata mismatch; local_arxiv, observed 2026-07-02T06:16:43.747093Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 20efc244-71ef-4cca-9c38-d5b0e1d48a46 · outbound

This paper cites DR Tulu: Reinforcement Learning with Evolving Rubrics for Deep Research.

Reproducing, Analyzing, and Detecting Reward Hacking in Rubric-Based Reinforcement Learning DR Tulu: Reinforcement Learning with Evolving Rubrics for Deep Research

Reference 9

Resolution: metadata mismatch; local_arxiv, observed 2026-07-02T06:16:43.744531Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 69298f13-a195-40c1-a79c-7c4ee426a8c6 · outbound

This paper cites Rl tango: Reinforcing generator and verifier together for language reasoning.

Reproducing, Analyzing, and Detecting Reward Hacking in Rubric-Based Reinforcement Learning Rl tango: Reinforcing generator and verifier together for language reasoning

Reference 10

Resolution: verified exact; arxiv_id, observed 2026-07-02T06:16:43.755400Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation a74f70af-1f51-4db6-bf16-5eb7f8d15b90 · outbound

This paper cites Chaining the evidence: Robust reinforcement learning for deep search agents with citation-aware rubric rewards.

Reproducing, Analyzing, and Detecting Reward Hacking in Rubric-Based Reinforcement Learning Chaining the evidence: Robust reinforcement learning for deep search agents with citation-aware rubric rewards

Reference 11

Resolution: metadata mismatch; arxiv_id, observed 2026-07-02T06:16:43.749812Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation c43b644e-7461-4f5e-9e52-fc598aa0b036 · outbound

This paper cites Toward Robust LLM-Based Judges: Taxonomic Bias Evaluation and Debiasing Optimization.

Reproducing, Analyzing, and Detecting Reward Hacking in Rubric-Based Reinforcement Learning Toward Robust LLM-Based Judges: Taxonomic Bias Evaluation and Debiasing Optimization

Reference 12

Resolution: metadata mismatch; arxiv_id, observed 2026-08-04T02:24:30.324324Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation e33b69e7-b985-4035-8a2b-6466063fd67c · outbound

This paper cites an unresolved cited work.

Reproducing, Analyzing, and Detecting Reward Hacking in Rubric-Based Reinforcement Learning Unresolved cited work

Reference 13

Resolution: unresolved; no resolver link, observed 2026-06-28T07:28:09.142557Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation 39b18520-87ef-48b5-bbd2-b0891ff74f9c · inbound

Distill Where the Student Goes: Teacher-Regularized RL for English-Evidence Cross-Lingual RAG cites this paper.

Distill Where the Student Goes: Teacher-Regularized RL for English-Evidence Cross-Lingual RAG Reproducing, Analyzing, and Detecting Reward Hacking in Rubric-Based Reinforcement Learning

Reference 57

Resolution: unresolved; no resolver link, observed 2026-07-12T05:47:14.970921Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 71c07a45-7329-4c20-9d61-7033f69c75d2 · inbound

AgentOmnia: Scaling Agentic Models for Full-Scenario Applications cites this paper.

AgentOmnia: Scaling Agentic Models for Full-Scenario Applications Reproducing, Analyzing, and Detecting Reward Hacking in Rubric-Based Reinforcement Learning

Reference 65

Resolution: unresolved; no resolver link, observed 2026-08-01T03:38:21.327505Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.