Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Theoretical Proof that Auto-regressive Language Models Collapse when Real-world Data is a Finite Set
As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2412.14872.
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 2026-08-10T06:31:04.303077+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-09T22:01:12.446229Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-06-30T09:44:37.482382Z
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 f272bfd6-a76b-4937-b8c3-bf8a60723965 · inbound
Language Games as the Pathway to Artificial Superhuman Intelligence cites this paper.
Language Games as the Pathway to Artificial Superhuman Intelligence Theoretical Proof that Auto-regressive Language Models Collapse when Real-world Data is a Finite Set
Reference 37
- Resolution
- unresolved
- no resolver link, observed 2026-08-09T22:01:12.446229Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6a8cd09b-e550-44bf-ae45-8a3cc484b2f0 · inbound
Bridging the Stability-Expressivity Gap: Synthetic Data Scaling and Preference Alignment for Low-Resource Spoken Language Models cites this paper.
Bridging the Stability-Expressivity Gap: Synthetic Data Scaling and Preference Alignment for Low-Resource Spoken Language Models Theoretical Proof that Auto-regressive Language Models Collapse when Real-world Data is a Finite Set
Reference 28
- Resolution
- unresolved
- no resolver link, observed 2026-07-12T23:22:40.218077Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 55f3c2cd-5ff6-477f-81de-601b03131b7d · inbound
PASTA: A Paraphrasing And Self-Training Approach for Knowledge Updating in LLMs cites this paper.
PASTA: A Paraphrasing And Self-Training Approach for Knowledge Updating in LLMs Theoretical Proof that Auto-regressive Language Models Collapse when Real-world Data is a Finite Set
Reference 23
- Resolution
- verified exact
- arxiv_id, observed 2026-06-30T09:44:37.483867Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.