Paper Citation Record · LEDGER

Reinforcement Learning with Verifiable yet Noisy Rewards under Imperfect Verifiers

As of 6 August 2026, this Paper Citation Record lists 39 of 39 outbound references and 15 inbound Pith citation observations for arXiv:2510.00915.

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

pith.paper-citation-record.v1
2510.00915 v4

Coverage vector

measured 39 of 39 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-25T07:39:02.616294Z

measured 54 of 54 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 15 of 15 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T00:42:55.896502Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-04T17:09:58.372131Z

Reference resolution

39 of 39 outbound references displayed

verified exact12
verified fuzzy23
unresolved3
parse uncertain0
malformed identifier1
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 98a42c9f-8dd1-4fd8-86df-9b419ee7c54f · outbound

This paper cites Humans or llms as the judge? a study on judgement bias.

Reinforcement Learning with Verifiable yet Noisy Rewards under Imperfect Verifiers Humans or llms as the judge? a study on judgement bias

Reference 1

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Observation 5b1f62e2-a05e-48e8-be83-1d5cfb58eeac · outbound

This paper cites Training Verifiers to Solve Math Word Problems.

Reinforcement Learning with Verifiable yet Noisy Rewards under Imperfect Verifiers Training Verifiers to Solve Math Word Problems

Reference 2

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Observation 6cf54ce2-4b73-4090-ace2-891ee0fa57c3 · outbound

This paper cites A Survey on LLM-as-a-Judge.

Reinforcement Learning with Verifiable yet Noisy Rewards under Imperfect Verifiers A Survey on LLM-as-a-Judge

Reference 3

Resolution: verified exact; local_arxiv, observed 2026-05-25T07:40:28.726804Z

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Observation cfc6d225-1581-4626-bc4a-a22d52aad147 · outbound

This paper cites Tsang, and Masashi Sugiyama.

Reinforcement Learning with Verifiable yet Noisy Rewards under Imperfect Verifiers Tsang, and Masashi Sugiyama

Reference 4

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Observation ec6db028-df06-4282-b6c0-6ea20784e4b8 · outbound

This paper cites Olympiadbench: A challenging benchmark for promoting AGI with olympiad-level bilingual multimodal scientific problems.

Reinforcement Learning with Verifiable yet Noisy Rewards under Imperfect Verifiers Olympiadbench: A challenging benchmark for promoting AGI with olympiad-level bilingual multimodal scientific problems

Reference 5

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Observation 13751c81-e454-48d6-8873-9e1569bb6b39 · outbound

This paper cites an unresolved cited work.

Reinforcement Learning with Verifiable yet Noisy Rewards under Imperfect Verifiers Unresolved cited work

Reference 6

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Observation 672b0dbb-c5a9-4d03-815c-bee38f6723f6 · outbound

This paper cites Pitfalls of rule- and model-based verifiers–a case study on mathematical reasoning.

Reinforcement Learning with Verifiable yet Noisy Rewards under Imperfect Verifiers Pitfalls of rule- and model-based verifiers–a case study on mathematical reasoning

Reference 7

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Observation 67004685-a161-459d-aeb9-fdb090bdf9a4 · outbound

This paper cites Math-verify: A robust mathematical expression evaluator for llm outputs.

Reinforcement Learning with Verifiable yet Noisy Rewards under Imperfect Verifiers Math-verify: A robust mathematical expression evaluator for llm outputs

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T07:40:29.417539Z

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Observation fe4af45a-803b-4425-b277-1b2dbbe0ec68 · outbound

This paper cites Aime 2024 (dataset card).

Reinforcement Learning with Verifiable yet Noisy Rewards under Imperfect Verifiers Aime 2024 (dataset card)

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T07:40:29.427426Z

Source-reported events for the cited work

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Observation 5b15f4a9-442c-4e69-861f-d0618433d0d1 · outbound

This paper cites Mentornet: Learning data-driven curriculum for very deep neural networks on corrupted labels.

Reinforcement Learning with Verifiable yet Noisy Rewards under Imperfect Verifiers Mentornet: Learning data-driven curriculum for very deep neural networks on corrupted labels

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T07:40:29.424226Z

Source-reported events for the cited work

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Observation 78e1f08f-5f86-4ebe-912e-db9b436c5afb · outbound

This paper cites On the admissibility of horvitz-thompson estimator for estimating causal effects under network interference.

Reinforcement Learning with Verifiable yet Noisy Rewards under Imperfect Verifiers On the admissibility of horvitz-thompson estimator for estimating causal effects under network interference

Reference 11

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Observation 393979c1-d642-4b18-a3de-f05aed788606 · outbound

This paper cites Ramasesh, Ambrose Slone, Cem Anil, Imanol Schlag, Theo Gutman-Solo, Yuhuai Wu, Behnam Neyshabur, Guy Gur-Ari, and Vedant Misra.

Reinforcement Learning with Verifiable yet Noisy Rewards under Imperfect Verifiers Ramasesh, Ambrose Slone, Cem Anil, Imanol Schlag, Theo Gutman-Solo, Yuhuai Wu, Behnam Neyshabur, Guy Gur-Ari, and Vedant Misra

Reference 12

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Observation dc68112d-0c0d-482a-955e-bdd1df293ef6 · outbound

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Reinforcement Learning with Verifiable yet Noisy Rewards under Imperfect Verifiers Unresolved cited work

Reference 13

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Observation fdc0212d-58bf-4c1f-94a1-ffe23d5ad8f8 · outbound

This paper cites Provably end-to- end label-noise learning without anchor points.

Reinforcement Learning with Verifiable yet Noisy Rewards under Imperfect Verifiers Provably end-to- end label-noise learning without anchor points

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T07:40:29.484272Z

Source-reported events for the cited work

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Observation 0f8dab58-f029-481f-9742-466f818d888a · outbound

This paper cites VerifyBench: A Systematic Benchmark for Evaluating Reasoning Verifiers Across Domains.

Reinforcement Learning with Verifiable yet Noisy Rewards under Imperfect Verifiers VerifyBench: A Systematic Benchmark for Evaluating Reasoning Verifiers Across Domains

Reference 15

Resolution: verified exact; arxiv_id, observed 2026-05-25T07:40:28.733858Z

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Observation 0a53b119-b40e-463c-8796-818143a268c9 · outbound

This paper cites Let’s verify step by step.

Reinforcement Learning with Verifiable yet Noisy Rewards under Imperfect Verifiers Let’s verify step by step

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T07:40:29.487892Z

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 436a6792-4ac2-497b-8b72-dbd9ee9552c7 · outbound

This paper cites Tang, Manan Roongta, Colin Cai, Jeffrey Luo, Li Erran Li, Raluca Ada Popa, and Ion Stoica.

Reinforcement Learning with Verifiable yet Noisy Rewards under Imperfect Verifiers Tang, Manan Roongta, Colin Cai, Jeffrey Luo, Li Erran Li, Raluca Ada Popa, and Ion Stoica

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T07:40:29.491510Z

Source-reported events for the cited work

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Observation 9770835f-3db2-4180-848a-6a87e0f73ce9 · outbound

This paper cites Amc 2023 (dataset card).

Reinforcement Learning with Verifiable yet Noisy Rewards under Imperfect Verifiers Amc 2023 (dataset card)

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T07:40:29.480701Z

Source-reported events for the cited work

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Observation bf1f2286-cc07-4f85-8e17-eb0a1772070c · outbound

This paper cites Reinforcement learning with verifiable rewards: Grpo’s effective loss, dy- namics, and success amplification.

Reinforcement Learning with Verifiable yet Noisy Rewards under Imperfect Verifiers Reinforcement learning with verifiable rewards: Grpo’s effective loss, dy- namics, and success amplification

Reference 19

Resolution: verified exact; arxiv_id, observed 2026-05-25T07:40:28.705425Z

Source-reported events for the cited work

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Observation 3911a067-e284-4931-a6a8-3ed17e9ea3d7 · outbound

This paper cites Dhillon, Pradeep Ravikumar, and Ambuj Tewari.

Reinforcement Learning with Verifiable yet Noisy Rewards under Imperfect Verifiers Dhillon, Pradeep Ravikumar, and Ambuj Tewari

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T07:40:29.466642Z

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 7e1e6cca-c539-4fcc-a26d-0d2178f5d2de · outbound

This paper cites Aime 2025 (dataset card).

Reinforcement Learning with Verifiable yet Noisy Rewards under Imperfect Verifiers Aime 2025 (dataset card)

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T07:40:29.469960Z

Source-reported events for the cited work

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Observation d330f054-da8d-4ba9-81bc-7e1a3e718552 · outbound

This paper cites Making deep neural networks robust to label noise: A loss correction approach.

Reinforcement Learning with Verifiable yet Noisy Rewards under Imperfect Verifiers Making deep neural networks robust to label noise: A loss correction approach

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T07:40:29.473787Z

Source-reported events for the cited work

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Observation 23225b11-a7e4-48b5-b6f7-b4010f1d6d83 · outbound

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

Reinforcement Learning with Verifiable yet Noisy Rewards under Imperfect Verifiers DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models

Reference 23

Resolution: verified exact; local_arxiv, observed 2026-05-25T07:40:28.758312Z

Source-reported events for the cited work

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Observation 6ee03e51-64fc-4af9-8e3d-2303cf4c3e9e · outbound

This paper cites Optimization-based prompt injection attack to llm-as-a-judge.

Reinforcement Learning with Verifiable yet Noisy Rewards under Imperfect Verifiers Optimization-based prompt injection attack to llm-as-a-judge

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T07:40:29.463272Z

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Observation ba3d881c-324c-4ce2-a3cf-d7f3fcc49825 · outbound

This paper cites Judging the judges: A systematic study of position bias in llm-as-a-judge.

Reinforcement Learning with Verifiable yet Noisy Rewards under Imperfect Verifiers Judging the judges: A systematic study of position bias in llm-as-a-judge

Reference 25

Resolution: verified exact; arxiv_id, observed 2026-05-25T07:40:28.716419Z

Source-reported events for the cited work

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Observation f61f0ddc-b7cf-42b9-960b-a0f3b08efaac · outbound

This paper cites Learning from noisy labels with deep neural networks: A survey.IEEE transactions on neural networks and learning systems, 34(11):8135–8153.

Reinforcement Learning with Verifiable yet Noisy Rewards under Imperfect Verifiers Learning from noisy labels with deep neural networks: A survey.IEEE transactions on neural networks and learning systems, 34(11):8135–8153

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T07:40:29.450869Z

Source-reported events for the cited work

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Observation 803f7d05-7a98-4018-b59c-8439205fd533 · outbound

This paper cites Sutton, David A.

Reinforcement Learning with Verifiable yet Noisy Rewards under Imperfect Verifiers Sutton, David A

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T07:40:29.459332Z

Source-reported events for the cited work

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Observation b6917440-946e-479c-b0d9-ecf3803b79ec · outbound

This paper cites Judging the Judges: Evaluating Alignment and Vulnerabilities in LLMs-as-Judges.

Reinforcement Learning with Verifiable yet Noisy Rewards under Imperfect Verifiers Judging the Judges: Evaluating Alignment and Vulnerabilities in LLMs-as-Judges

Reference 28

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Observation 766537cd-43be-420d-99c5-1dd1ffeea564 · outbound

This paper cites Reinforcement learning with perturbed rewards.

Reinforcement Learning with Verifiable yet Noisy Rewards under Imperfect Verifiers Reinforcement learning with perturbed rewards

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T07:40:29.477459Z

Source-reported events for the cited work

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Observation 62f00431-e7b5-45eb-88e1-d987b8b61f4e · outbound

This paper cites Le, Ed H.

Reinforcement Learning with Verifiable yet Noisy Rewards under Imperfect Verifiers Le, Ed H

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T07:40:29.446624Z

Source-reported events for the cited work

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Observation 659faf64-8df3-496c-95ca-e5846f62ef08 · outbound

This paper cites Chi, Quoc V.

Reinforcement Learning with Verifiable yet Noisy Rewards under Imperfect Verifiers Chi, Quoc V

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T07:40:29.443002Z

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 7b46c176-c529-496e-a393-add5908b0750 · outbound

This paper cites Reinforcement Learning with Verifiable Rewards Implicitly Incentivizes Correct Reasoning in Base LLMs.

Reinforcement Learning with Verifiable yet Noisy Rewards under Imperfect Verifiers Reinforcement Learning with Verifiable Rewards Implicitly Incentivizes Correct Reasoning in Base LLMs

Reference 32

Resolution: verified exact; local_arxiv, observed 2026-05-25T07:40:28.693870Z

Source-reported events for the cited work

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Observation 961c2790-f0b7-40dc-b5f0-5e5033e93272 · outbound

This paper cites Simple statistical gradient-following algorithms for connectionist rein- forcement learning.Machine Learning, 8(3):229–256.

Reinforcement Learning with Verifiable yet Noisy Rewards under Imperfect Verifiers Simple statistical gradient-following algorithms for connectionist rein- forcement learning.Machine Learning, 8(3):229–256

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T07:40:29.435272Z

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 3e48e768-8302-413e-96bd-f89841ee7373 · outbound

This paper cites TinyV: Reducing False Negatives in Verification Improves RL for LLM Reasoning.

Reinforcement Learning with Verifiable yet Noisy Rewards under Imperfect Verifiers TinyV: Reducing False Negatives in Verification Improves RL for LLM Reasoning

Reference 34

Resolution: verified exact; arxiv_id, observed 2026-05-25T07:40:28.721581Z

Source-reported events for the cited work

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Observation 03019534-bcb7-4898-a55c-d0087e35b302 · outbound

This paper cites Tree of thoughts: Deliberate problem solving with large language models.

Reinforcement Learning with Verifiable yet Noisy Rewards under Imperfect Verifiers Tree of thoughts: Deliberate problem solving with large language models

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T07:40:29.439389Z

Source-reported events for the cited work

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Observation 64ea9ca2-05db-47ec-b342-b7b6cf48bc8d · outbound

This paper cites One Token to Fool LLM-as-a-Judge.

Reinforcement Learning with Verifiable yet Noisy Rewards under Imperfect Verifiers One Token to Fool LLM-as-a-Judge

Reference 36

Resolution: verified exact; arxiv_id, observed 2026-06-12T02:08:19.458599Z

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 d2c87dc9-fff0-4824-93a2-d41d09d8393a · outbound

This paper cites Le, and Ed H.

Reinforcement Learning with Verifiable yet Noisy Rewards under Imperfect Verifiers Le, and Ed H

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T07:40:29.495794Z

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 7efcb9d8-13b8-4993-a24b-ccb40a4b1340 · outbound

This paper cites an unresolved cited work.

Reinforcement Learning with Verifiable yet Noisy Rewards under Imperfect Verifiers Unresolved cited work

Reference 38

Resolution: unresolved; raw_fallback, observed 2026-05-25T07:40:29.420861Z

Source-reported events for the cited work

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Observation e37b77f1-0056-4641-b1de-d252703fb3af · outbound

This paper cites idx": 16.

Reinforcement Learning with Verifiable yet Noisy Rewards under Imperfect Verifiers idx": 16

Reference 39

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Source-reported events for the cited work

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Pith citing papers

Observation 654e67cf-41d6-413b-9624-4a473739ed90 · inbound

Beyond Variance: Prompt-Efficient RLVR via Rare-Event Amplification and Bidirectional Pairing cites this paper.

Beyond Variance: Prompt-Efficient RLVR via Rare-Event Amplification and Bidirectional Pairing Reinforcement Learning with Verifiable yet Noisy Rewards under Imperfect Verifiers

Reference 2

Resolution: metadata mismatch; arxiv_id, observed 2026-05-25T03:01:06.910934Z

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Observation 7cd3a80d-c4cb-4415-91c8-c3456a6b27fe · 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 Reinforcement Learning with Verifiable yet Noisy Rewards under Imperfect Verifiers

Reference 2

Resolution: verified exact; local_arxiv, observed 2026-05-25T07:26:41.698773Z

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 867d0078-04a0-4ca3-a092-f0847c039b03 · inbound

Safe Bilevel Delegation (SBD): A Formal Framework for Runtime Delegation Safety in Multi-Agent Systems cites this paper.

Safe Bilevel Delegation (SBD): A Formal Framework for Runtime Delegation Safety in Multi-Agent Systems Reinforcement Learning with Verifiable yet Noisy Rewards under Imperfect Verifiers

Reference 2

Resolution: verified exact; arxiv_id, observed 2026-05-25T03:01:06.910934Z

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 8e146cf6-da76-484f-8e82-84205622ea8f · inbound

Delay, Plateau, or Collapse: Evaluating the Impact of Systematic Verification Error on RLVR cites this paper.

Delay, Plateau, or Collapse: Evaluating the Impact of Systematic Verification Error on RLVR Reinforcement Learning with Verifiable yet Noisy Rewards under Imperfect Verifiers

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-05-25T03:01:06.910934Z

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 0b992994-1517-4b56-86f4-b551dfc53705 · inbound

High-Dimensional Statistics: Reflections on Progress and Open Problems cites this paper.

High-Dimensional Statistics: Reflections on Progress and Open Problems Reinforcement Learning with Verifiable yet Noisy Rewards under Imperfect Verifiers

Reference 24

Resolution: verified exact; arxiv_id, observed 2026-05-25T03:01:06.910934Z

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 f24dfe78-ec82-400c-9273-e4294abc199b · inbound

High-Dimensional Statistics: Reflections on Progress and Open Problems cites this paper.

High-Dimensional Statistics: Reflections on Progress and Open Problems Reinforcement Learning with Verifiable yet Noisy Rewards under Imperfect Verifiers

Reference 24

Resolution: verified exact; local_arxiv, observed 2026-07-01T13:15:46.696413Z

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 90abc5e3-fd0e-4dcf-86dd-f9bd22d5553c · inbound

On Training in Imagination cites this paper.

On Training in Imagination Reinforcement Learning with Verifiable yet Noisy Rewards under Imperfect Verifiers

Reference 35

Resolution: metadata mismatch; arxiv_id, observed 2026-05-25T03:01:06.910934Z

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 3201df72-89be-48d6-a86c-e32e32d626d1 · inbound

On Training in Imagination cites this paper.

On Training in Imagination Reinforcement Learning with Verifiable yet Noisy Rewards under Imperfect Verifiers

Reference 3

Resolution: verified exact; arxiv_id, observed 2026-05-25T03:01:06.910934Z

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 79184117-1bb2-420d-a45a-d9eba5009c89 · inbound

Not Every Rubric Teaches Equally: Policy-Aware Rubric Rewards for RLVR cites this paper.

Not Every Rubric Teaches Equally: Policy-Aware Rubric Rewards for RLVR Reinforcement Learning with Verifiable yet Noisy Rewards under Imperfect Verifiers

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-05-25T03:01:06.910934Z

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 174ff37c-7b05-47ae-8741-77b7a89b6440 · inbound

Quantifying Empirical Compute-Supervision Tradeoffs in RLVR cites this paper.

Quantifying Empirical Compute-Supervision Tradeoffs in RLVR Reinforcement Learning with Verifiable yet Noisy Rewards under Imperfect Verifiers

Reference 2

Resolution: verified exact; local_arxiv, observed 2026-06-30T11:54:38.515532Z

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 9e8c54ab-3f8d-4d17-8172-952d8a433308 · inbound

GeoMin: Data-Efficient Semi-Supervised RLVR via Geometric Distribution Modeling cites this paper.

GeoMin: Data-Efficient Semi-Supervised RLVR via Geometric Distribution Modeling Reinforcement Learning with Verifiable yet Noisy Rewards under Imperfect Verifiers

Reference 50

Resolution: metadata mismatch; local_arxiv, observed 2026-07-02T06:06:40.805627Z

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 25ed3ebf-92e8-4346-ad5a-a39ad9ba6a7a · inbound

Reinforcement Learning for Computer-Use Agents with Autonomous Evaluation cites this paper.

Reinforcement Learning for Computer-Use Agents with Autonomous Evaluation Reinforcement Learning with Verifiable yet Noisy Rewards under Imperfect Verifiers

Reference 2

Resolution: verified exact; local_arxiv, observed 2026-07-04T17:09:58.373417Z

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 8f3545b0-d73a-4bde-8b0a-e2a7dab37ef9 · inbound

When the Reward Suite Is Leaky: A Preregistered Causal Contrast of Natural Verifier False Positives in RLVR cites this paper.

When the Reward Suite Is Leaky: A Preregistered Causal Contrast of Natural Verifier False Positives in RLVR Reinforcement Learning with Verifiable yet Noisy Rewards under Imperfect Verifiers

Reference 5

Resolution: unresolved; no resolver link, observed 2026-07-14T07:36:47.336670Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 66b87979-c00d-42da-bec4-df343babbee9 · inbound

The Path to Self-Evolving Clinical Systems: Scaling Medical Agents from Assistance to Autonomy cites this paper.

The Path to Self-Evolving Clinical Systems: Scaling Medical Agents from Assistance to Autonomy Reinforcement Learning with Verifiable yet Noisy Rewards under Imperfect Verifiers

Reference 21

Resolution: unresolved; no resolver link, observed 2026-07-14T06:30:16.612345Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1b80d79f-183c-4525-94a0-aabd8181c5d5 · inbound

Judging Is Not Enumerating: Silent Omissions in LLM-Authored Acceptable Sets cites this paper.

Judging Is Not Enumerating: Silent Omissions in LLM-Authored Acceptable Sets Reinforcement Learning with Verifiable yet Noisy Rewards under Imperfect Verifiers

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-06T00:42:55.896502Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.