Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Trust, But Verify: A Self-Verification Approach to Reinforcement Learning with Verifiable Rewards
As of 4 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2505.13445.
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 2026-08-04T06:34:03.388597+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-05-21T14:29:15.751497Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-21T14:30:13.813244Z
Reference resolution
0 of 0 outbound references displayed
- verified exact0
- verified fuzzy0
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
No outbound reference observations are available for this paper version.
Pith citing papers
Observation f6d6d781-ca95-4505-ba4e-deac03c8384a · inbound
Learning from Self-Debate: Preparing Reasoning Models for Multi-Agent Debate cites this paper.
Learning from Self-Debate: Preparing Reasoning Models for Multi-Agent Debate Trust, But Verify: A Self-Verification Approach to Reinforcement Learning with Verifiable Rewards
Reference 15
- Resolution
- verified exact
- arxiv_id, observed 2026-05-21T14:30:13.816845Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 3e52b03b-a62e-439e-88be-44c543430b6b · inbound
Learning from Less: Measuring the Effectiveness of RLVR in Low Data and Compute Regimes cites this paper.
Learning from Less: Measuring the Effectiveness of RLVR in Low Data and Compute Regimes Trust, But Verify: A Self-Verification Approach to Reinforcement Learning with Verifiable Rewards
Reference 10
- Resolution
- verified exact
- arxiv_id, observed 2026-05-10T11:10:09.636461Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 01e36f65-7f5f-4957-a03a-dcf7a3d5c968 · inbound
Verification Mirage: Mapping the Reliability Boundary of Self-Verification in Medical VQA cites this paper.
Verification Mirage: Mapping the Reliability Boundary of Self-Verification in Medical VQA Trust, But Verify: A Self-Verification Approach to Reinforcement Learning with Verifiable Rewards
Reference 8
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T05:56:25.309953Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 954f6938-5734-4a3e-9aa8-3896f4b091c8 · inbound
Selective Off-Policy Reference Tuning with Plan Guidance cites this paper.
Selective Off-Policy Reference Tuning with Plan Guidance Trust, But Verify: A Self-Verification Approach to Reinforcement Learning with Verifiable Rewards
Reference 21
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T01:47:05.234151Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation dec66f03-989a-44a4-a60d-d71da548951c · inbound
Selective Off-Policy Reference Tuning with Plan Guidance cites this paper.
Selective Off-Policy Reference Tuning with Plan Guidance Trust, But Verify: A Self-Verification Approach to Reinforcement Learning with Verifiable Rewards
Reference 21
- Resolution
- verified exact
- arxiv_id, observed 2026-05-14T21:22:59.364550Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 79c71cd1-d470-467b-95b5-cce0f0966507 · inbound
ICRL: Learning to Internalize Self-Critique with Reinforcement Learning cites this paper.
ICRL: Learning to Internalize Self-Critique with Reinforcement Learning Trust, But Verify: A Self-Verification Approach to Reinforcement Learning with Verifiable Rewards
Reference 20
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-19T18:02:42.401759Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation a351d827-39db-4980-95f1-6dbf477dd754 · inbound
STRIDE: Learnable Stepwise Language Feedback for LLM Reasoning cites this paper.
STRIDE: Learnable Stepwise Language Feedback for LLM Reasoning Trust, But Verify: A Self-Verification Approach to Reinforcement Learning with Verifiable Rewards
Reference 32
- Resolution
- verified exact
- arxiv_id, observed 2026-05-20T20:49:00.638008Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.