Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-07-09T02:29:12.366018Z
Paper Citation Record · LEDGER
Agon: Competitive Cross-Model RL with Implicit Rival Grading of Reasoning
As of 19 August 2026, this Paper Citation Record lists 14 of 14 outbound references and 0 inbound Pith citation observations for arXiv:2607.07690.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
14 of 14 outbound references displayed
- verified exact13
- verified fuzzy1
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 8b390d5b-bf7a-42a2-b48e-ce75570111dc · outbound
This paper cites DeepMath-103K: A Large-Scale, Challenging, Decontaminated, and Verifiable Mathematical Dataset for Advancing Reasoning.
Agon: Competitive Cross-Model RL with Implicit Rival Grading of Reasoning DeepMath-103K: A Large-Scale, Challenging, Decontaminated, and Verifiable Mathematical Dataset for Advancing Reasoning
Reference 1
- Resolution
- verified exact
- local_arxiv, observed 2026-07-09T02:35:53.868114Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation f0f61310-7bfc-4e5a-98d5-f0c3f2e26e29 · outbound
This paper cites L1: Controlling How Long A Reasoning Model Thinks With Reinforcement Learning.
Agon: Competitive Cross-Model RL with Implicit Rival Grading of Reasoning L1: Controlling How Long A Reasoning Model Thinks With Reinforcement Learning
Reference 2
- Resolution
- verified exact
- local_arxiv, observed 2026-07-09T02:35:53.844868Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 39e7199e-d52e-42b4-925c-420e2dcb72a1 · outbound
This paper cites Let's Verify Step by Step.
Agon: Competitive Cross-Model RL with Implicit Rival Grading of Reasoning Let's Verify Step by Step
Reference 3
- Resolution
- verified exact
- local_arxiv, observed 2026-07-09T02:35:53.870304Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 6e9aeb06-992a-44be-a519-1256a02baf2c · outbound
This paper cites Mixture-of-Agents Enhances Large Language Model Capabilities.
Agon: Competitive Cross-Model RL with Implicit Rival Grading of Reasoning Mixture-of-Agents Enhances Large Language Model Capabilities
Reference 4
- Resolution
- verified exact
- local_arxiv, observed 2026-07-09T02:35:53.865745Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation f4478556-1642-4af0-ad24-9a002f7db2fc · outbound
This paper cites Rethinking Mixture-of-Agents: Is Mixing Different Large Language Models Beneficial?.
Agon: Competitive Cross-Model RL with Implicit Rival Grading of Reasoning Rethinking Mixture-of-Agents: Is Mixing Different Large Language Models Beneficial?
Reference 5
- Resolution
- verified exact
- local_arxiv, observed 2026-07-09T02:35:53.863433Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 8b4461bc-13ee-49a2-89a6-2bda15b70083 · outbound
This paper cites Do NOT Think That Much for 2+3=? On the Overthinking of o1-Like LLMs.
Agon: Competitive Cross-Model RL with Implicit Rival Grading of Reasoning Do NOT Think That Much for 2+3=? On the Overthinking of o1-Like LLMs
Reference 6
- Resolution
- verified exact
- local_arxiv, observed 2026-07-09T02:35:53.856386Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation e4a74279-336c-4cc9-b890-8092b9490709 · outbound
This paper cites DAPO: An Open-Source LLM Reinforcement Learning System at Scale.
Agon: Competitive Cross-Model RL with Implicit Rival Grading of Reasoning DAPO: An Open-Source LLM Reinforcement Learning System at Scale
Reference 7
- Resolution
- verified exact
- local_arxiv, observed 2026-07-09T02:35:53.858732Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 8c4eb0d9-fd91-4852-929b-5193a0ddc3e7 · outbound
This paper cites Absolute Zero: Reinforced Self-play Reasoning with Zero Data.
Agon: Competitive Cross-Model RL with Implicit Rival Grading of Reasoning Absolute Zero: Reinforced Self-play Reasoning with Zero Data
Reference 8
- Resolution
- verified exact
- local_arxiv, observed 2026-07-09T02:35:53.872758Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 3dc2e27f-1376-472d-9505-122daa81c3d4 · outbound
This paper cites R-Zero: Self-Evolving Reasoning LLM from Zero Data.
Agon: Competitive Cross-Model RL with Implicit Rival Grading of Reasoning R-Zero: Self-Evolving Reasoning LLM from Zero Data
Reference 9
- Resolution
- verified exact
- local_arxiv, observed 2026-07-09T02:35:53.849536Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 35730966-7e03-482c-b0b2-b0431a46b127 · outbound
This paper cites Improving Factuality and Reasoning in Language Models through Multiagent Debate.
Agon: Competitive Cross-Model RL with Implicit Rival Grading of Reasoning Improving Factuality and Reasoning in Language Models through Multiagent Debate
Reference 10
- Resolution
- verified exact
- local_arxiv, observed 2026-07-09T02:35:53.854070Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 247014f7-214e-47ce-bcf1-df8bbdd196f4 · outbound
This paper cites AI safety via debate.
Agon: Competitive Cross-Model RL with Implicit Rival Grading of Reasoning AI safety via debate
Reference 11
- Resolution
- verified exact
- local_arxiv, observed 2026-07-09T02:35:53.861079Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 4b1b1f36-2229-4363-8bad-ee62b3ab3fd7 · outbound
This paper cites Prover-Verifier Games improve legibility of LLM outputs.
Agon: Competitive Cross-Model RL with Implicit Rival Grading of Reasoning Prover-Verifier Games improve legibility of LLM outputs
Reference 12
- Resolution
- verified exact
- local_arxiv, observed 2026-07-09T02:35:53.847137Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 43195baa-e0c0-4892-a195-0b1b34dce7b1 · outbound
This paper cites The 2026 AI Index Report, Chapter 2: Technical Performance.
Agon: Competitive Cross-Model RL with Implicit Rival Grading of Reasoning The 2026 AI Index Report, Chapter 2: Technical Performance
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-09T02:35:54.386630Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 059be145-2ae5-4663-88c4-898bbe5c21a2 · outbound
This paper cites Training Verifiers to Solve Math Word Problems.
Agon: Competitive Cross-Model RL with Implicit Rival Grading of Reasoning Training Verifiers to Solve Math Word Problems
Reference 14
- Resolution
- verified exact
- local_arxiv, observed 2026-07-09T02:35:53.851785Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Pith citing papers
No inbound Pith citation observations are available.