Paper Citation Record · LEDGER

RLVR Datasets and Where to Find Them: Tracing Data Lineage for Better Training Data

As of 18 August 2026, this Paper Citation Record lists 48 of 48 outbound references and 1 inbound Pith citation observation for arXiv:2605.26971.

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

pith.paper-citation-record.v1
2605.26971 v1

Coverage vector

measured 48 of 48 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-29T19:34:12.081362Z

measured 49 of 49 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 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-02T06:37:37.582083Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

48 of 48 outbound references displayed

verified exact33
verified fuzzy0
unresolved13
parse uncertain0
malformed identifier0
metadata mismatch2

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 9c301df9-2be6-498b-a8b6-79e6b47f0dc2 · outbound

This paper cites Big-Math: A Large-Scale, High-Quality Math Dataset for Reinforcement Learning in Language Models.

RLVR Datasets and Where to Find Them: Tracing Data Lineage for Better Training Data Big-Math: A Large-Scale, High-Quality Math Dataset for Reinforcement Learning in Language Models

Reference 1

Resolution: verified exact; arxiv_id, observed 2026-06-29T19:43:55.056489Z

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 e1e76676-cffa-4000-be15-5c514ac7b13d · outbound

This paper cites an unresolved cited work.

RLVR Datasets and Where to Find Them: Tracing Data Lineage for Better Training Data Unresolved cited work

Reference 2

Resolution: unresolved; no resolver link, observed 2026-06-29T19:34:12.081362Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cbd14c82-53fa-41e9-881c-c4b990171250 · outbound

This paper cites arXiv preprint arXiv:2510.26768 , year=.

RLVR Datasets and Where to Find Them: Tracing Data Lineage for Better Training Data arXiv preprint arXiv:2510.26768 , year=

Reference 3

Resolution: verified exact; arxiv_id, observed 2026-06-29T19:43:55.062918Z

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 69d361b4-1f68-4b74-a5f3-c3e7cbbc8b83 · outbound

This paper cites an unresolved cited work.

RLVR Datasets and Where to Find Them: Tracing Data Lineage for Better Training Data Unresolved cited work

Reference 4

Resolution: unresolved; no resolver link, observed 2026-06-29T19:34:12.081362Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 49c626dd-add2-429b-a250-05b5da73c1f4 · outbound

This paper cites AceReason-Nemotron: Advancing Math and Code Reasoning through Reinforcement Learning.

RLVR Datasets and Where to Find Them: Tracing Data Lineage for Better Training Data AceReason-Nemotron: Advancing Math and Code Reasoning through Reinforcement Learning

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-06-29T19:43:55.053657Z

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 9a52c77f-62d9-4e31-bdcd-bf21981882e7 · outbound

This paper cites An Empirical Study on Eliciting and Improving R1-like Reasoning Models.

RLVR Datasets and Where to Find Them: Tracing Data Lineage for Better Training Data An Empirical Study on Eliciting and Improving R1-like Reasoning Models

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-06-29T19:43:55.066083Z

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 097da742-b62e-445f-9461-18e7f716481f · outbound

This paper cites A Survey on Data Contamination for Large Language Models.

RLVR Datasets and Where to Find Them: Tracing Data Lineage for Better Training Data A Survey on Data Contamination for Large Language Models

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-06-29T19:43:55.059768Z

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 b14226d1-b1c6-4322-af49-8edaa9107a0b · outbound

This paper cites Training Verifiers to Solve Math Word Problems.

RLVR Datasets and Where to Find Them: Tracing Data Lineage for Better Training Data Training Verifiers to Solve Math Word Problems

Reference 8

Resolution: verified exact; local_arxiv, observed 2026-06-29T19:43:55.117557Z

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 f7c99ed8-a1e3-44d1-b778-03fc00a6e4ad · outbound

This paper cites Process Reinforcement through Implicit Rewards.

RLVR Datasets and Where to Find Them: Tracing Data Lineage for Better Training Data Process Reinforcement through Implicit Rewards

Reference 9

Resolution: verified exact; local_arxiv, observed 2026-06-29T19:43:55.124047Z

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 f0634f3b-fd28-4944-878f-4254a5171838 · outbound

This paper cites doi:10.1038/s41597-025-05283-3 , url =.

RLVR Datasets and Where to Find Them: Tracing Data Lineage for Better Training Data doi:10.1038/s41597-025-05283-3 , url =

Reference 10

Resolution: verified exact; doi, observed 2026-06-29T19:43:54.509592Z

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 3b5bab0e-87c1-4609-a574-5ed08c4132c3 · outbound

This paper cites an unresolved cited work.

RLVR Datasets and Where to Find Them: Tracing Data Lineage for Better Training Data Unresolved cited work

Reference 11

Resolution: verified exact; doi, observed 2026-06-29T19:43:54.514258Z

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 90451569-2903-46be-946b-89165f4f4bdc · outbound

This paper cites Omni-MATH: A Universal Olympiad Level Mathematic Benchmark For Large Language Models.

RLVR Datasets and Where to Find Them: Tracing Data Lineage for Better Training Data Omni-MATH: A Universal Olympiad Level Mathematic Benchmark For Large Language Models

Reference 12

Resolution: verified exact; local_arxiv, observed 2026-06-29T19:43:55.098336Z

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 3c63c3d9-568d-4062-b753-66305764c717 · outbound

This paper cites an unresolved cited work.

RLVR Datasets and Where to Find Them: Tracing Data Lineage for Better Training Data Unresolved cited work

Reference 13

Resolution: unresolved; no resolver link, observed 2026-06-29T19:34:12.081362Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 03f72992-20c9-4fe6-8271-916480fdc354 · outbound

This paper cites OlympiadBench: A Challenging Benchmark for Promoting AGI with Olympiad-Level Bilingual Multimodal Scientific Problems.

RLVR Datasets and Where to Find Them: Tracing Data Lineage for Better Training Data OlympiadBench: A Challenging Benchmark for Promoting AGI with Olympiad-Level Bilingual Multimodal Scientific Problems

Reference 14

Resolution: verified exact; local_arxiv, observed 2026-06-29T19:43:55.080471Z

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 d235309d-522d-4a9f-a5c2-746587fc5935 · outbound

This paper cites Skywork Open Reasoner 1 Technical Report.

RLVR Datasets and Where to Find Them: Tracing Data Lineage for Better Training Data Skywork Open Reasoner 1 Technical Report

Reference 15

Resolution: verified exact; local_arxiv, observed 2026-06-29T19:43:55.104714Z

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 bda730de-94b9-4c7c-8f93-9450c7624124 · outbound

This paper cites DeepMath-103K: A Large-Scale, Challenging, Decontaminated, and Verifiable Mathematical Dataset for Advancing Reasoning.

RLVR Datasets and Where to Find Them: Tracing Data Lineage for Better Training Data DeepMath-103K: A Large-Scale, Challenging, Decontaminated, and Verifiable Mathematical Dataset for Advancing Reasoning

Reference 16

Resolution: verified exact; local_arxiv, observed 2026-06-29T19:43:55.115046Z

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 b48cbc83-1080-4b71-8c47-82094e2c52e8 · outbound

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

RLVR Datasets and Where to Find Them: Tracing Data Lineage for Better Training Data Measuring Mathematical Problem Solving With the MATH Dataset

Reference 17

Resolution: verified exact; local_arxiv, observed 2026-06-29T19:43:55.131638Z

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 df54c5d9-60ec-45e6-bf4e-682445dbf2d8 · outbound

This paper cites Tracing the Data Trail: A Survey of Data Provenance, Transparency and Traceability in LLMs.

RLVR Datasets and Where to Find Them: Tracing Data Lineage for Better Training Data Tracing the Data Trail: A Survey of Data Provenance, Transparency and Traceability in LLMs

Reference 18

Resolution: verified exact; arxiv_id, observed 2026-06-29T19:43:55.097004Z

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 d2bec7f2-c0bd-467d-8122-813184c579b3 · outbound

This paper cites Open-Reasoner-Zero: An Open Source Approach to Scaling Up Reinforcement Learning on the Base Model.

RLVR Datasets and Where to Find Them: Tracing Data Lineage for Better Training Data Open-Reasoner-Zero: An Open Source Approach to Scaling Up Reinforcement Learning on the Base Model

Reference 19

Resolution: verified exact; local_arxiv, observed 2026-06-29T19:43:55.103705Z

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 bd0ecbbd-e9c8-497f-9fa5-5ce420c44a5e · outbound

This paper cites W., and Zhao, H.

RLVR Datasets and Where to Find Them: Tracing Data Lineage for Better Training Data W., and Zhao, H

Reference 20

Resolution: verified exact; arxiv_id, observed 2026-06-29T19:43:55.109420Z

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 59213391-0bbb-4056-9b7a-17b88b1e24f3 · outbound

This paper cites an unresolved cited work.

RLVR Datasets and Where to Find Them: Tracing Data Lineage for Better Training Data Unresolved cited work

Reference 21

Resolution: unresolved; no resolver link, observed 2026-06-29T19:34:12.081362Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f33a1bdb-f920-446f-9488-d82e1e082285 · outbound

This paper cites Understanding Black-box Predictions via Influence Functions.

RLVR Datasets and Where to Find Them: Tracing Data Lineage for Better Training Data Understanding Black-box Predictions via Influence Functions

Reference 22

Resolution: verified exact; arxiv_id, observed 2026-06-29T19:43:55.126095Z

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 4b584663-ed5e-466b-8cb6-da223426e6e9 · outbound

This paper cites an unresolved cited work.

RLVR Datasets and Where to Find Them: Tracing Data Lineage for Better Training Data Unresolved cited work

Reference 23

Resolution: unresolved; no resolver link, observed 2026-06-29T19:34:12.081362Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 30a49a12-97c7-4133-9c6e-11a9a171ed6d · outbound

This paper cites an unresolved cited work.

RLVR Datasets and Where to Find Them: Tracing Data Lineage for Better Training Data Unresolved cited work

Reference 24

Resolution: unresolved; no resolver link, observed 2026-06-29T19:34:12.081362Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0b4589fe-d001-4332-8cf5-9a463a89a83b · outbound

This paper cites an unresolved cited work.

RLVR Datasets and Where to Find Them: Tracing Data Lineage for Better Training Data Unresolved cited work

Reference 25

Resolution: unresolved; no resolver link, observed 2026-06-29T19:34:12.081362Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c19f5d1d-9d06-40b4-82c6-571b5a493b97 · outbound

This paper cites Towards Robust Mathematical Reasoning.

RLVR Datasets and Where to Find Them: Tracing Data Lineage for Better Training Data Towards Robust Mathematical Reasoning

Reference 26

Resolution: verified exact; doi, observed 2026-06-29T19:43:54.516248Z

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 6a874e6d-c776-4551-b065-c41e72b19586 · outbound

This paper cites Imitate, Explore, and Self-Improve: A Reproduction Report on Slow-thinking Reasoning Systems.

RLVR Datasets and Where to Find Them: Tracing Data Lineage for Better Training Data Imitate, Explore, and Self-Improve: A Reproduction Report on Slow-thinking Reasoning Systems

Reference 27

Resolution: verified exact; local_arxiv, observed 2026-06-29T19:43:55.128797Z

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 89b2c1e2-750b-4efa-8560-bb3e51fc2c28 · outbound

This paper cites Mishra, M.

RLVR Datasets and Where to Find Them: Tracing Data Lineage for Better Training Data Mishra, M

Reference 28

Resolution: verified exact; doi, observed 2026-06-29T19:43:54.518419Z

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 0d60b462-749e-4d43-918d-3fb9db3d3a21 · outbound

This paper cites an unresolved cited work.

RLVR Datasets and Where to Find Them: Tracing Data Lineage for Better Training Data Unresolved cited work

Reference 29

Resolution: unresolved; no resolver link, observed 2026-06-29T19:34:12.081362Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dde0168a-b5c0-48f3-ac27-b2e65cd62f20 · outbound

This paper cites Humanity's Last Exam.

RLVR Datasets and Where to Find Them: Tracing Data Lineage for Better Training Data Humanity's Last Exam

Reference 30

Resolution: verified exact; doi, observed 2026-06-29T19:43:54.507390Z

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 8b461ad2-ede9-45a6-8575-56c18463991e · outbound

This paper cites Benchmarkˆ 2: Systematic evaluation of llm benchmarks.arXiv preprint arXiv:2601.03986, 2026.

RLVR Datasets and Where to Find Them: Tracing Data Lineage for Better Training Data Benchmarkˆ 2: Systematic evaluation of llm benchmarks.arXiv preprint arXiv:2601.03986, 2026

Reference 31

Resolution: verified exact; arxiv_id, observed 2026-06-29T19:43:55.074322Z

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 a2a7ffaf-2eba-4ecf-9d88-e05d3d1796fc · outbound

This paper cites Sentence- BERT : Sentence Embeddings using S iamese BERT -Networks.

RLVR Datasets and Where to Find Them: Tracing Data Lineage for Better Training Data Sentence- BERT : Sentence Embeddings using S iamese BERT -Networks

Reference 32

Resolution: verified exact; doi, observed 2026-06-29T19:43:54.510303Z

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 0d962726-48b5-4809-a5bd-f947e643a5be · outbound

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

RLVR Datasets and Where to Find Them: Tracing Data Lineage for Better Training Data GPQA: A Graduate-Level Google-Proof Q&A Benchmark

Reference 33

Resolution: verified exact; local_arxiv, observed 2026-06-29T19:43:55.112001Z

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 b11690b0-b845-4a39-8f38-d0f8128d33e2 · outbound

This paper cites Seed1.5-thinking: Advancing superb reasoning models with reinforce- ment learning.

RLVR Datasets and Where to Find Them: Tracing Data Lineage for Better Training Data Seed1.5-thinking: Advancing superb reasoning models with reinforce- ment learning

Reference 34

Resolution: verified exact; arxiv_id, observed 2026-06-29T19:43:55.120369Z

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 9f38b19c-5c8e-4a38-89b7-64a049a26792 · outbound

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

RLVR Datasets and Where to Find Them: Tracing Data Lineage for Better Training Data DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models

Reference 35

Resolution: verified exact; local_arxiv, observed 2026-06-29T19:43:55.134111Z

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 ec4a8897-c182-41f8-a878-985d278cdb3e · outbound

This paper cites Hybridflow: A flexible and efficient rlhf framework.

RLVR Datasets and Where to Find Them: Tracing Data Lineage for Better Training Data Hybridflow: A flexible and efficient rlhf framework

Reference 36

Resolution: metadata mismatch; arxiv_id, observed 2026-06-29T19:43:54.512519Z

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 9e8dde8c-8de6-4028-80cc-1b97bf45642a · outbound

This paper cites Klear-reasoner: Advancing reasoning capability via gradient-preserving clipping policy optimization.arXiv preprint arXiv:2508.07629.

RLVR Datasets and Where to Find Them: Tracing Data Lineage for Better Training Data Klear-reasoner: Advancing reasoning capability via gradient-preserving clipping policy optimization.arXiv preprint arXiv:2508.07629

Reference 37

Resolution: verified exact; arxiv_id, observed 2026-06-29T19:43:55.110160Z

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 ecf3c5a1-0cbe-404d-9d31-2eb0b3c3c106 · outbound

This paper cites Learning to Reason under Off-Policy Guidance.

RLVR Datasets and Where to Find Them: Tracing Data Lineage for Better Training Data Learning to Reason under Off-Policy Guidance

Reference 38

Resolution: verified exact; local_arxiv, observed 2026-06-29T19:43:55.120653Z

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 ba46adc2-c25a-4767-b0f6-351df31c2956 · outbound

This paper cites Qwen3 Technical Report.

RLVR Datasets and Where to Find Them: Tracing Data Lineage for Better Training Data Qwen3 Technical Report

Reference 39

Resolution: verified exact; local_arxiv, observed 2026-06-29T19:43:55.115832Z

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 e81184e6-0e27-4f75-b065-25ff975000b2 · outbound

This paper cites DAPO: An Open-Source LLM Reinforcement Learning System at Scale.

RLVR Datasets and Where to Find Them: Tracing Data Lineage for Better Training Data DAPO: An Open-Source LLM Reinforcement Learning System at Scale

Reference 40

Resolution: verified exact; local_arxiv, observed 2026-06-29T19:43:55.118299Z

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 eff1eb27-23a6-46d0-9ba9-939084390f85 · outbound

This paper cites HARP: A challenging human-annotated math reasoning benchmark.

RLVR Datasets and Where to Find Them: Tracing Data Lineage for Better Training Data HARP: A challenging human-annotated math reasoning benchmark

Reference 41

Resolution: metadata mismatch; arxiv_id, observed 2026-06-29T19:43:55.081562Z

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 64da264a-5083-46ff-8af4-22ddceb80957 · outbound

This paper cites an unresolved cited work.

RLVR Datasets and Where to Find Them: Tracing Data Lineage for Better Training Data Unresolved cited work

Reference 42

Resolution: unresolved; no resolver link, observed 2026-06-29T19:34:12.081362Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 91808bf8-de04-4107-848b-5e303b475cfc · outbound

This paper cites an unresolved cited work.

RLVR Datasets and Where to Find Them: Tracing Data Lineage for Better Training Data Unresolved cited work

Reference 43

Resolution: unresolved; no resolver link, observed 2026-06-29T19:34:12.081362Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 31bbc549-ee2b-4d4f-9cf9-5c92446fe787 · outbound

This paper cites an unresolved cited work.

RLVR Datasets and Where to Find Them: Tracing Data Lineage for Better Training Data Unresolved cited work

Reference 44

Resolution: unresolved; no resolver link, observed 2026-06-29T19:34:12.081362Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e75c961e-c7d7-4041-8440-c210687d1fdb · outbound

This paper cites Efficient rlvr training via weighted mutual information data selection.arXiv preprint arXiv:2603.01907.

RLVR Datasets and Where to Find Them: Tracing Data Lineage for Better Training Data Efficient rlvr training via weighted mutual information data selection.arXiv preprint arXiv:2603.01907

Reference 45

Resolution: verified exact; arxiv_id, observed 2026-06-29T19:43:55.094209Z

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 fa0f079d-2285-4e19-b267-487a32c98cc4 · outbound

This paper cites an unresolved cited work.

RLVR Datasets and Where to Find Them: Tracing Data Lineage for Better Training Data Unresolved cited work

Reference 46

Resolution: verified exact; arxiv_id, observed 2026-06-29T19:43:55.112838Z

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 2e0316f1-fc00-4066-b959-9e8e9152da15 · outbound

This paper cites online" 'onlinestring :=.

RLVR Datasets and Where to Find Them: Tracing Data Lineage for Better Training Data online" 'onlinestring :=

Reference 47

Resolution: unresolved; no resolver link, observed 2026-06-29T19:34:12.081362Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 491c1d1d-4f2f-4f43-80e8-b622c48de2e7 · outbound

This paper cites write newline.

RLVR Datasets and Where to Find Them: Tracing Data Lineage for Better Training Data write newline

Reference 48

Resolution: unresolved; no resolver link, observed 2026-06-29T19:34:12.081362Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation 9ad04e95-8e2d-4ead-9895-0dbd5ea30dd3 · inbound

Ring-Zero: Scaling Zero RL to a Trillion Parameters for Emergent Reasoning cites this paper.

Ring-Zero: Scaling Zero RL to a Trillion Parameters for Emergent Reasoning RLVR Datasets and Where to Find Them: Tracing Data Lineage for Better Training Data

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-02T06:37:37.582083Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.