Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Self-Correcting Self-Consuming Loops for Generative Model Training
As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2402.07087.
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 2026-08-20T06:33:59.587034+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-11T23:15:28.607337Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z
Reference resolution
0 of 0 outbound references displayed
- verified exact0
- verified fuzzy0
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
0
arxiv_reference, observed 2026-08-05T02:28:24.338817Z
Outbound references
No outbound reference observations are available for this paper version.
Pith citing papers
Observation 95e0dace-5d23-469c-a1dd-ff4d14cc32ae · inbound
Mind the Gap: Examining the Self-Improvement Capabilities of Large Language Models cites this paper.
Mind the Gap: Examining the Self-Improvement Capabilities of Large Language Models Self-Correcting Self-Consuming Loops for Generative Model Training
Reference 25
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T23:15:28.607337Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation da74a65c-ab2b-4250-b9b0-2e993c4806d1 · inbound
Self-Improving Transformers Overcome Easy-to-Hard and Length Generalization Challenges cites this paper.
Self-Improving Transformers Overcome Easy-to-Hard and Length Generalization Challenges Self-Correcting Self-Consuming Loops for Generative Model Training
Reference 26
- Resolution
- unresolved
- no resolver link, observed 2026-08-09T14:54:29.164195Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 551d1ab1-c54c-4e8f-8bcf-b1fe0bc3f181 · inbound
LLM Web Dynamics: Tracing Model Collapse in a Network of LLMs cites this paper.
LLM Web Dynamics: Tracing Model Collapse in a Network of LLMs Self-Correcting Self-Consuming Loops for Generative Model Training
Reference 18
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T13:59:47.920806Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation bb326200-a19a-47d3-b716-0d536753fb65 · inbound
A Task-Centric Theory for Iterative Self-Improvement with Easy-to-Hard Curricula cites this paper.
A Task-Centric Theory for Iterative Self-Improvement with Easy-to-Hard Curricula Self-Correcting Self-Consuming Loops for Generative Model Training
Reference 12
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T02:43:34.544741Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a40b0645-9d30-46f2-b154-426b59759a2d · inbound
When AI Reviews Its Own Code: Recursive Self-Training Collapse in Code LLMs cites this paper.
When AI Reviews Its Own Code: Recursive Self-Training Collapse in Code LLMs Self-Correcting Self-Consuming Loops for Generative Model Training
Reference 154
- Resolution
- verified exact
- arxiv_id, observed 2026-06-30T01:34:09.453845Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.