Paper Citation Record · LEDGER

Reinforcement Learning with Rubric Anchors

As of 19 August 2026, this Paper Citation Record lists 43 of 43 outbound references and 39 inbound Pith citation observations for arXiv:2508.12790.

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

pith.paper-citation-record.v1
2508.12790 v1

Coverage vector

measured 43 of 43 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T17:22:55.544927Z

measured 82 of 82 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 39 of 39 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T00:37:05.606844Z

measured 1 of 1 external citation measurements

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

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

Reference resolution

43 of 43 outbound references displayed

verified exact0
verified fuzzy10
unresolved33
parse uncertain0
malformed identifier0
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External citation measurements

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

Outbound references

Observation 39a79538-4557-480e-82b3-c0a67eda5aab · outbound

This paper cites write newline.

Reinforcement Learning with Rubric Anchors write newline

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-15T17:22:55.336572Z

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Observation dfcc1da7-b2b6-4590-90d9-aac1e127e120 · outbound

This paper cites HealthBench: Evaluating Large Language Models Towards Improved Human Health.

Reinforcement Learning with Rubric Anchors HealthBench: Evaluating Large Language Models Towards Improved Human Health

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-15T17:22:55.343159Z

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Observation 56b95a8e-0acf-4eaf-98c2-86988a458fdb · outbound

This paper cites Constitutional AI: Harmlessness from AI Feedback.

Reinforcement Learning with Rubric Anchors Constitutional AI: Harmlessness from AI Feedback

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-15T17:22:55.350400Z

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Observation 33dd6bd7-fb08-497e-b1dc-f728faa53080 · outbound

This paper cites Tombench: Benchmarking theory of mind in large language models, 2024.

Reinforcement Learning with Rubric Anchors Tombench: Benchmarking theory of mind in large language models, 2024

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:22:56.432877Z

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

Observation d7a7ed89-1313-40c7-b47a-303bc73f3ed2 · outbound

This paper cites Gemini models, 2025.

Reinforcement Learning with Rubric Anchors Gemini models, 2025

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:22:56.416452Z

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

Observation d9febb96-9ebc-45eb-a6e1-4030d16fbd70 · outbound

This paper cites DeepSeek-V3 Technical Report.

Reinforcement Learning with Rubric Anchors DeepSeek-V3 Technical Report

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-15T17:22:55.365391Z

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Observation 00e6d183-f73c-4242-bcad-ac5f48f1fa04 · outbound

This paper cites AReaL: A Large-Scale Asynchronous Reinforcement Learning System for Language Reasoning.

Reinforcement Learning with Rubric Anchors AReaL: A Large-Scale Asynchronous Reinforcement Learning System for Language Reasoning

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-15T17:22:55.370681Z

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Observation c708330f-c051-4878-a747-a64b4c76c3c0 · outbound

This paper cites Deliberative Alignment: Reasoning Enables Safer Language Models.

Reinforcement Learning with Rubric Anchors Deliberative Alignment: Reasoning Enables Safer Language Models

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-15T17:22:55.376142Z

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Observation 8b6277b4-526c-4de3-88d5-67dac0393577 · outbound

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

Reinforcement Learning with Rubric Anchors Rubrics as Rewards: Reinforcement Learning Beyond Verifiable Domains

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-15T17:22:55.380630Z

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Observation 43d70c7b-a10d-464a-b549-a71c0710435d · outbound

This paper cites DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning.

Reinforcement Learning with Rubric Anchors DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-15T17:22:55.385201Z

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Observation 233ec089-8316-49eb-b9cf-280e084359db · outbound

This paper cites Measuring Massive Multitask Language Understanding.

Reinforcement Learning with Rubric Anchors Measuring Massive Multitask Language Understanding

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-15T17:22:55.390625Z

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Observation 69026bb4-5363-4548-bd3e-219769e5e705 · outbound

This paper cites Measuring Mathematical Problem Solving With the MATH Dataset.

Reinforcement Learning with Rubric Anchors Measuring Mathematical Problem Solving With the MATH Dataset

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-15T17:22:55.395475Z

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Observation e53c6a11-816d-4e1f-bd6d-e29450ec4153 · outbound

This paper cites Open r1: A fully open reproduction of deepseek-r1, January 2025.

Reinforcement Learning with Rubric Anchors Open r1: A fully open reproduction of deepseek-r1, January 2025

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-15T17:22:55.400964Z

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Observation 8a46c880-32ad-4fee-9c00-cb67ae67964a · outbound

This paper cites LiveCodeBench: Holistic and Contamination Free Evaluation of Large Language Models for Code.

Reinforcement Learning with Rubric Anchors LiveCodeBench: Holistic and Contamination Free Evaluation of Large Language Models for Code

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-15T17:22:55.405357Z

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Observation 07ddeaf5-2bc5-4939-a046-627a98985364 · outbound

This paper cites How Many Instructions Can LLMs Follow at Once?.

Reinforcement Learning with Rubric Anchors How Many Instructions Can LLMs Follow at Once?

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-15T17:22:55.411192Z

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Observation d0d81586-06cb-4d39-adce-cef428eb8b83 · outbound

This paper cites Search-R1: Training LLMs to Reason and Leverage Search Engines with Reinforcement Learning.

Reinforcement Learning with Rubric Anchors Search-R1: Training LLMs to Reason and Leverage Search Engines with Reinforcement Learning

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-15T17:22:55.416169Z

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Observation f2550a10-00ec-47ba-85c9-31b0de1f457a · outbound

This paper cites Tulu 3: Pushing Frontiers in Open Language Model Post-Training.

Reinforcement Learning with Rubric Anchors Tulu 3: Pushing Frontiers in Open Language Model Post-Training

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-15T17:22:55.421350Z

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Observation 060eb61e-5f5e-4e77-9b81-04d8dd8e9471 · outbound

This paper cites Omni-think: Scaling cross-domain generalization in llms via multi-task rl with hybrid rewards.

Reinforcement Learning with Rubric Anchors Omni-think: Scaling cross-domain generalization in llms via multi-task rl with hybrid rewards

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-15T17:22:55.426205Z

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Observation a48aa7df-3b35-4581-af6c-40f5f09c88d0 · outbound

This paper cites Deepcoder: A fully open-source 14b coder at o3-mini level, 2025 a.

Reinforcement Learning with Rubric Anchors Deepcoder: A fully open-source 14b coder at o3-mini level, 2025 a

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:22:56.389978Z

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 9515a252-8ddc-4115-8839-b6d01915192b · outbound

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

Reinforcement Learning with Rubric Anchors Tang, Manan Roongta, Colin Cai, Jeffrey Luo, Li Erran Li, Raluca Ada Popa, and Ion Stoica

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:22:56.372314Z

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 9519b6ff-a7ad-4619-984b-af40aca38658 · outbound

This paper cites Aime 2024.

Reinforcement Learning with Rubric Anchors Aime 2024

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:22:56.356308Z

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 dc61ebf7-5bdc-4c5c-ab5d-af87efbe20a4 · outbound

This paper cites Aime 2025.

Reinforcement Learning with Rubric Anchors Aime 2025

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:22:56.339508Z

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 e1347977-d5ef-4634-a2c0-d3068ce5e254 · outbound

This paper cites LLM Critics Help Catch LLM Bugs.

Reinforcement Learning with Rubric Anchors LLM Critics Help Catch LLM Bugs

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-15T17:22:55.449553Z

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Observation 9d0fd8fa-4d9b-47be-8774-13def922938a · outbound

This paper cites Rule based rewards for language model safety.

Reinforcement Learning with Rubric Anchors Rule based rewards for language model safety

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:22:56.323716Z

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 39c4c190-44fc-4bc3-b0a2-7ae0148ac381 · outbound

This paper cites Learning to reason with llms, 2024.

Reinforcement Learning with Rubric Anchors Learning to reason with llms, 2024

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-15T17:22:55.459222Z

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Observation 9e94348b-0999-4453-a83b-ee51f5279948 · outbound

This paper cites Introducing openai o3 and o4-mini, 2025.

Reinforcement Learning with Rubric Anchors Introducing openai o3 and o4-mini, 2025

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:22:56.298387Z

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

Observation 20e50f6c-f468-41c6-bc90-a888b4054189 · outbound

This paper cites EQ-Bench: An Emotional Intelligence Benchmark for Large Language Models.

Reinforcement Learning with Rubric Anchors EQ-Bench: An Emotional Intelligence Benchmark for Large Language Models

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-15T17:22:55.468458Z

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Observation add607c4-1b27-4eda-a868-cc8e81c7cc84 · outbound

This paper cites CoQA: A Conversational Question Answering Challenge.

Reinforcement Learning with Rubric Anchors CoQA: A Conversational Question Answering Challenge

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-15T17:22:55.473270Z

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Observation 78cd5978-417d-4a9b-9d09-af04dfd7a264 · outbound

This paper cites GPQA: A Graduate-Level Google-Proof Q&A Benchmark.

Reinforcement Learning with Rubric Anchors GPQA: A Graduate-Level Google-Proof Q&A Benchmark

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-15T17:22:55.477827Z

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Observation ea9bb1af-918a-4428-bffa-c97eef429118 · outbound

This paper cites SocialIQA: Commonsense Reasoning about Social Interactions.

Reinforcement Learning with Rubric Anchors SocialIQA: Commonsense Reasoning about Social Interactions

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-15T17:22:55.482483Z

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Observation 9ae255f6-9a31-4457-91a9-ecefdb2e7460 · outbound

This paper cites Self-critiquing models for assisting human evaluators.

Reinforcement Learning with Rubric Anchors Self-critiquing models for assisting human evaluators

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-15T17:22:55.487329Z

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Observation 45bace34-c9a9-4c44-9866-975703c5cb55 · outbound

This paper cites A Simple and Effective Approach to the Story Cloze Test.

Reinforcement Learning with Rubric Anchors A Simple and Effective Approach to the Story Cloze Test

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-15T17:22:55.492196Z

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Observation 81c21057-2345-4e1a-89cc-6eb9278261ac · outbound

This paper cites Salmon: Self-alignment with instructable reward models.

Reinforcement Learning with Rubric Anchors Salmon: Self-alignment with instructable reward models

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:22:56.283635Z

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 e43ff105-eee4-4971-bbe6-e99d87fb61cd · outbound

This paper cites GLM-4.5: Agentic, Reasoning, and Coding (ARC) Foundation Models.

Reinforcement Learning with Rubric Anchors GLM-4.5: Agentic, Reasoning, and Coding (ARC) Foundation Models

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-15T17:22:55.501479Z

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Observation 15a57863-b5aa-493a-bb07-fe8b52374975 · outbound

This paper cites Kimi k1.5: Scaling Reinforcement Learning with LLMs.

Reinforcement Learning with Rubric Anchors Kimi k1.5: Scaling Reinforcement Learning with LLMs

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-15T17:22:55.506644Z

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Observation 36f69961-1b8d-4950-808f-010774c0c55f · outbound

This paper cites Checklists are better than reward models for aligning language models.

Reinforcement Learning with Rubric Anchors Checklists are better than reward models for aligning language models

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-15T17:22:55.511371Z

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Observation be3ff487-5f58-4715-8462-abebdf9164d1 · outbound

This paper cites Safety reasoning with guidelines.

Reinforcement Learning with Rubric Anchors Safety reasoning with guidelines

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:22:56.268139Z

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

Observation 68c2858d-672c-48e9-89b2-208d25e43fb8 · outbound

This paper cites Writingbench: A comprehensive benchmark for generative writing.

Reinforcement Learning with Rubric Anchors Writingbench: A comprehensive benchmark for generative writing

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-15T17:22:55.520571Z

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Observation 97d6c44e-0dda-467e-a7b9-26593fbbe8f1 · outbound

This paper cites Logic-RL: Unleashing LLM Reasoning with Rule-Based Reinforcement Learning.

Reinforcement Learning with Rubric Anchors Logic-RL: Unleashing LLM Reasoning with Rule-Based Reinforcement Learning

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-15T17:22:55.525007Z

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Observation 1e72979b-b199-4153-a6cd-8a8f76563f1a · outbound

This paper cites Qwen3 Technical Report.

Reinforcement Learning with Rubric Anchors Qwen3 Technical Report

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-15T17:22:55.530083Z

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Observation 05dbad6d-3e2e-45c7-93ca-b827ff3ec3af · outbound

This paper cites COLLIE: Systematic Construction of Constrained Text Generation Tasks.

Reinforcement Learning with Rubric Anchors COLLIE: Systematic Construction of Constrained Text Generation Tasks

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-15T17:22:55.534857Z

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Observation dcbd5eb4-cd14-4cc7-94a3-1a28c43a3bb3 · outbound

This paper cites HellaSwag: Can a Machine Really Finish Your Sentence?.

Reinforcement Learning with Rubric Anchors HellaSwag: Can a Machine Really Finish Your Sentence?

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-15T17:22:55.539628Z

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Observation 41e378f6-6c00-4e67-8c5f-ef872e0ad9d1 · outbound

This paper cites Instruction-Following Evaluation for Large Language Models.

Reinforcement Learning with Rubric Anchors Instruction-Following Evaluation for Large Language Models

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-15T17:22:55.544927Z

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Pith citing papers

Observation b6326af1-e0f9-4191-a4e2-04bd455e6ecc · inbound

Baichuan-M2: Scaling Medical Capability with Large Verifier System cites this paper.

Baichuan-M2: Scaling Medical Capability with Large Verifier System Reinforcement Learning with Rubric Anchors

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-05T11:50:15.856760Z

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Observation 018b4547-fad7-4e0d-8e7b-7e451f2ebff9 · inbound

A Survey of Reinforcement Learning for Large Reasoning Models cites this paper.

A Survey of Reinforcement Learning for Large Reasoning Models Reinforcement Learning with Rubric Anchors

Reference 215

Resolution: verified exact; arxiv_id, observed 2026-05-18T00:05:31.565658Z

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

Observation 9de7eea5-c94b-4642-b31b-8ed74e67d626 · inbound

DeepTravel: An End-to-End Agentic Reinforcement Learning Framework for Autonomous Travel Planning Agents cites this paper.

DeepTravel: An End-to-End Agentic Reinforcement Learning Framework for Autonomous Travel Planning Agents Reinforcement Learning with Rubric Anchors

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-15T15:49:15.974500Z

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Observation 4746e6f1-f1f0-4529-ab0b-84912315f37c · inbound

RubricRL: Simple Generalizable Rewards for Text-to-Image Generation cites this paper.

RubricRL: Simple Generalizable Rewards for Text-to-Image Generation Reinforcement Learning with Rubric Anchors

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-03T20:15:28.323243Z

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Observation 6488fe73-7c94-4a9a-8407-0c4765c06b47 · inbound

Verbalizing LLM's Higher-order Uncertainty via Imprecise Probabilities cites this paper.

Verbalizing LLM's Higher-order Uncertainty via Imprecise Probabilities Reinforcement Learning with Rubric Anchors

Reference 2024

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Observation e85495b3-c760-4a36-93ab-334b15bc8a38 · inbound

Alternating Reinforcement Learning with Contextual Rubric Rewards: Beyond the Scalarization Strategy cites this paper.

Alternating Reinforcement Learning with Contextual Rubric Rewards: Beyond the Scalarization Strategy Reinforcement Learning with Rubric Anchors

Reference 8

Resolution: verified exact; arxiv_id, observed 2026-05-15T17:10:10.378397Z

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 a7e05a27-7df6-4208-9dac-f1a9d3ef5e80 · inbound

Self-Preference Bias in Rubric-Based Evaluation of Large Language Models cites this paper.

Self-Preference Bias in Rubric-Based Evaluation of Large Language Models Reinforcement Learning with Rubric Anchors

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-05-11T00:50:50.499815Z

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 65507374-b0d4-4cc0-b6b6-3bfae866d82b · inbound

Self-Preference Bias in Rubric-Based Evaluation of Large Language Models cites this paper.

Self-Preference Bias in Rubric-Based Evaluation of Large Language Models Reinforcement Learning with Rubric Anchors

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-02T16:40:55.419909Z

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Observation 0674eb1b-f6aa-4b87-ac43-a269823d2265 · inbound

Self-Preference Bias in Rubric-Based Evaluation of Large Language Models cites this paper.

Self-Preference Bias in Rubric-Based Evaluation of Large Language Models Reinforcement Learning with Rubric Anchors

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-04T05:36:43.322784Z

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Observation 38f57d8b-89ed-46d4-ba32-3d9c730b232f · inbound

Visual Preference Optimization with Rubric Rewards cites this paper.

Visual Preference Optimization with Rubric Rewards Reinforcement Learning with Rubric Anchors

Reference 48

Resolution: verified exact; arxiv_id, observed 2026-05-11T09:56:00.726563Z

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

Observation 8e8d9f12-3a28-4b71-b19a-11c4ed0d7be1 · inbound

C2: Scalable Rubric-Augmented Reward Modeling from Binary Preferences cites this paper.

C2: Scalable Rubric-Augmented Reward Modeling from Binary Preferences Reinforcement Learning with Rubric Anchors

Reference 5

Resolution: metadata mismatch; arxiv_id, observed 2026-05-10T13:40:26.979653Z

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 16d76370-e6f3-4204-bb10-96dbd490a6b7 · inbound

Agent-World: Scaling Real-World Environment Synthesis for Evolving General Agent Intelligence cites this paper.

Agent-World: Scaling Real-World Environment Synthesis for Evolving General Agent Intelligence Reinforcement Learning with Rubric Anchors

Reference 39

Resolution: verified exact; arxiv_id, observed 2026-05-10T05:25:54.256422Z

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

Observation df2ee1d2-1693-4e1f-85b2-8b40ec090896 · inbound

Bootstrapping Post-training Signals for Open-ended Tasks via Rubric-based Self-play on Pre-training Text cites this paper.

Bootstrapping Post-training Signals for Open-ended Tasks via Rubric-based Self-play on Pre-training Text Reinforcement Learning with Rubric Anchors

Reference 17

Resolution: verified exact; arxiv_id, observed 2026-05-11T13:21:15.766370Z

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 88c56139-5a71-4347-88e6-e8ab5c921788 · inbound

SCPRM: A Schema-aware Cumulative Process Reward Model for Knowledge Graph Question Answering cites this paper.

SCPRM: A Schema-aware Cumulative Process Reward Model for Knowledge Graph Question Answering Reinforcement Learning with Rubric Anchors

Reference 14

Resolution: verified exact; arxiv_id, observed 2026-05-09T06:55:43.638055Z

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 c3918a16-8ba2-42a6-8562-cd5a1e8e0d23 · inbound

SHARP: A Self-Evolving Human-Auditable Rubric Policy for Financial Trading Agents cites this paper.

SHARP: A Self-Evolving Human-Auditable Rubric Policy for Financial Trading Agents Reinforcement Learning with Rubric Anchors

Reference 25

Resolution: verified exact; arxiv_id, observed 2026-05-11T05:06:04.001409Z

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 d3e350a5-deb2-4130-8035-99bf15500bf3 · inbound

Rubric-based On-policy Distillation cites this paper.

Rubric-based On-policy Distillation Reinforcement Learning with Rubric Anchors

Reference 35

Resolution: verified exact; arxiv_id, observed 2026-05-11T03:50:57.003709Z

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 42bde171-b5d2-459e-89e8-bb95268ecd7d · inbound

Rubric-Grounded RL: Structured Judge Rewards for Generalizable Reasoning cites this paper.

Rubric-Grounded RL: Structured Judge Rewards for Generalizable Reasoning Reinforcement Learning with Rubric Anchors

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-05-11T03:45:58.166891Z

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 51564e78-31fb-4dc0-a3a0-559410604284 · inbound

DeltaRubric: Generative Multimodal Reward Modeling via Joint Planning and Verification cites this paper.

DeltaRubric: Generative Multimodal Reward Modeling via Joint Planning and Verification Reinforcement Learning with Rubric Anchors

Reference 15

Resolution: verified exact; arxiv_id, observed 2026-05-12T06:01:24.455347Z

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 9d8d874a-d852-4e7a-ae23-d1f197eeb25b · inbound

CLR-voyance: Reinforcing Open-Ended Reasoning for Inpatient Clinical Decision Support with Outcome-Aware Rubrics cites this paper.

CLR-voyance: Reinforcing Open-Ended Reasoning for Inpatient Clinical Decision Support with Outcome-Aware Rubrics Reinforcement Learning with Rubric Anchors

Reference 38

Resolution: metadata mismatch; arxiv_id, observed 2026-05-12T06:11:23.637013Z

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 42c593ff-22f8-4dfc-8afb-e8052569f067 · inbound

Quantifying the Utility of User Simulators for Building Collaborative LLM Assistants cites this paper.

Quantifying the Utility of User Simulators for Building Collaborative LLM Assistants Reinforcement Learning with Rubric Anchors

Reference 88

Resolution: verified exact; arxiv_id, observed 2026-05-12T07:36:47.868358Z

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 81591429-6b5e-4b23-85e2-969e3ab1a6d9 · inbound

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

Reward Hacking in Rubric-Based Reinforcement Learning Reinforcement Learning with Rubric Anchors

Reference 17

Resolution: verified exact; arxiv_id, observed 2026-05-13T04:12:14.026353Z

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 021d35ac-1a5e-407d-9ce2-1bfe14bf133d · inbound

AutoRubric-T2I: Robust Rule-Based Reward Model for Text-to-Image Alignment cites this paper.

AutoRubric-T2I: Robust Rule-Based Reward Model for Text-to-Image Alignment Reinforcement Learning with Rubric Anchors

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-05-20T12:13:16.068131Z

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 48721ea1-1005-40b4-91ed-325c4ec024ad · inbound

AutoRubric-T2I: Robust Rule-Based Reward Model for Text-to-Image Alignment cites this paper.

AutoRubric-T2I: Robust Rule-Based Reward Model for Text-to-Image Alignment Reinforcement Learning with Rubric Anchors

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-05-22T09:21:21.490340Z

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 a5ff79c8-0193-4555-926d-0264d28a58ea · inbound

Lens: Rethinking Training Efficiency for Foundational Text-to-Image Models cites this paper.

Lens: Rethinking Training Efficiency for Foundational Text-to-Image Models Reinforcement Learning with Rubric Anchors

Reference 58

Resolution: verified exact; arxiv_id, observed 2026-05-22T09:34:46.719351Z

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 0cd010db-204d-4801-9824-627fd227dd98 · inbound

Prompt-Level Reward Specifications for Open-Ended Post-Training cites this paper.

Prompt-Level Reward Specifications for Open-Ended Post-Training Reinforcement Learning with Rubric Anchors

Reference 3

Resolution: metadata mismatch; arxiv_id, observed 2026-06-29T08:13:15.885637Z

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 c8279687-10cd-4ea4-98f6-a15847dc1e38 · inbound

Reinforcement Learning with Robust Rubric Rewards cites this paper.

Reinforcement Learning with Robust Rubric Rewards Reinforcement Learning with Rubric Anchors

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-06-29T07:43:13.790780Z

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 3941bab8-d0b9-40f1-bfed-1402aadd0e4f · inbound

Deep Research as Rubric for Reinforcement Learning cites this paper.

Deep Research as Rubric for Reinforcement Learning Reinforcement Learning with Rubric Anchors

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-06-28T17:22:25.224950Z

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 96b9cdbc-9019-4bc3-9646-98fd34835cc5 · inbound

Trust Region On-Policy Distillation cites this paper.

Trust Region On-Policy Distillation Reinforcement Learning with Rubric Anchors

Reference 184

Resolution: metadata mismatch; arxiv_id, observed 2026-07-01T20:56:13.632639Z

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 07f74a91-5a3c-4680-8b02-058efe9fb726 · inbound

BigFinanceBench: A Workflow-Grounded Benchmark for Financial-Research Agents cites this paper.

BigFinanceBench: A Workflow-Grounded Benchmark for Financial-Research Agents Reinforcement Learning with Rubric Anchors

Reference 9

Resolution: verified exact; arxiv_id, observed 2026-07-02T03:56:34.686496Z

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 4f8e58e2-58a4-4a08-950f-7dca9e664cd2 · inbound

QUBRIC: Co-Designing Queries and Rubrics for RL Beyond Verifiable Rewards cites this paper.

QUBRIC: Co-Designing Queries and Rubrics for RL Beyond Verifiable Rewards Reinforcement Learning with Rubric Anchors

Reference 36

Resolution: metadata mismatch; arxiv_id, observed 2026-07-02T02:56:29.409752Z

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 dfd3c8c5-b0dc-411a-a051-e7bb251a8bea · inbound

RUBAS: Rubric-Based Reinforcement Learning for Agent Safety cites this paper.

RUBAS: Rubric-Based Reinforcement Learning for Agent Safety Reinforcement Learning with Rubric Anchors

Reference 3

Resolution: metadata mismatch; arxiv_id, observed 2026-07-02T02:16:26.549345Z

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 5e4e8840-30f9-4b58-a5c2-a0bbfe3639b0 · inbound

Reproducing, Analyzing, and Detecting Reward Hacking in Rubric-Based Reinforcement Learning cites this paper.

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 2026-08-18T06:34:40.430872+00:00.

Observation 20f00e88-edfb-4634-be64-74dcfead656b · inbound

SAW: Stage-Aware Dynamic Weighting for Multi-Objective Reinforcement Learning in Large Language Models cites this paper.

SAW: Stage-Aware Dynamic Weighting for Multi-Objective Reinforcement Learning in Large Language Models Reinforcement Learning with Rubric Anchors

Reference 4

Resolution: metadata mismatch; arxiv_id, observed 2026-07-02T16:27:09.446012Z

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 13feac50-cbab-421b-9a7d-61a4161e476b · inbound

Baichuan-M4: A Clinical-Grade Medical Agent System for Continuous Care cites this paper.

Baichuan-M4: A Clinical-Grade Medical Agent System for Continuous Care Reinforcement Learning with Rubric Anchors

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-06-27T17:01:07.401905Z

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 e63d44ae-0109-4635-a1ee-d950a41873e6 · inbound

ARCO: Adaptive Rubrics with Co-Evolution for Multi-Step LLM-Based Agents cites this paper.

ARCO: Adaptive Rubrics with Co-Evolution for Multi-Step LLM-Based Agents Reinforcement Learning with Rubric Anchors

Reference 8

Resolution: metadata mismatch; arxiv_id, observed 2026-07-04T06:19:38.643902Z

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 1fdf1afe-73ec-4da6-a950-c733a942c6f2 · inbound

ARCO: Adaptive Rubrics with Co-Evolution for Multi-Step LLM-Based Agents cites this paper.

ARCO: Adaptive Rubrics with Co-Evolution for Multi-Step LLM-Based Agents Reinforcement Learning with Rubric Anchors

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-02T10:43:53.683485Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 985a6654-89ee-4175-a9ba-f9daad0930ae · inbound

Teach-to-Reason: Competition-Guided Reasoning with a Self-Improving Teacher cites this paper.

Teach-to-Reason: Competition-Guided Reasoning with a Self-Improving Teacher Reinforcement Learning with Rubric Anchors

Reference 33

Resolution: verified exact; arxiv_id, observed 2026-07-04T19:50:10.678512Z

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 5ef81299-f809-4b3c-8eaf-dc99e5af92e2 · inbound

LEAP: Lean Environment-Feedback via Adaptive Pruning for Code RL in GPU Kernel Generation cites this paper.

LEAP: Lean Environment-Feedback via Adaptive Pruning for Code RL in GPU Kernel Generation Reinforcement Learning with Rubric Anchors

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-07T00:14:38.445310Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4831f5a2-441e-4dab-8509-26f24275999b · inbound

Rubric Dropout: A Simple Way to Mitigate Reward Hacking in Rubric-as-Reward RL cites this paper.

Rubric Dropout: A Simple Way to Mitigate Reward Hacking in Rubric-as-Reward RL Reinforcement Learning with Rubric Anchors

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-16T00:37:05.606844Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.