Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Large Language Models Suffer From Their Own Output: An Analysis of the Self-Consuming Training Loop
As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 12 inbound Pith citation observations for arXiv:2311.16822.
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 2026-08-07T06:34:17.273281+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-06T23:12:18.868972Z
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
9
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 6492b30d-3ec5-4f39-a21b-099f9cb35650 · inbound
What Matters in LLM-generated Data: Diversity and Its Effect on Model Fine-Tuning cites this paper.
What Matters in LLM-generated Data: Diversity and Its Effect on Model Fine-Tuning Large Language Models Suffer From Their Own Output: An Analysis of the Self-Consuming Training Loop
Reference 4
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T23:12:18.868972Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 30100e79-17d3-4daf-a61d-9c70d531b617 · inbound
Lost in Retraining: Roaming the Parameter Space of Exponential Families Under Closed-Loop Learning cites this paper.
Lost in Retraining: Roaming the Parameter Space of Exponential Families Under Closed-Loop Learning Large Language Models Suffer From Their Own Output: An Analysis of the Self-Consuming Training Loop
Reference 6
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T22:57:07.176261Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation aa16beea-3c79-4a1e-9e3d-85a983158c79 · inbound
Exploring the Structure of AI-Induced Language Change in Scientific English cites this paper.
Exploring the Structure of AI-Induced Language Change in Scientific English Large Language Models Suffer From Their Own Output: An Analysis of the Self-Consuming Training Loop
Reference 7
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T22:24:07.440741Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 93203c79-89e5-4243-80c5-b5445b5f3150 · inbound
Model Misalignment and Language Change: Traces of AI-Associated Language in Unscripted Spoken English cites this paper.
Model Misalignment and Language Change: Traces of AI-Associated Language in Unscripted Spoken English Large Language Models Suffer From Their Own Output: An Analysis of the Self-Consuming Training Loop
Reference 16
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T10:23:57.646894Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a3d80535-11ba-4d41-838d-668bc292f6b5 · inbound
Transformer Semantic Genetic Programming for d-dimensional Symbolic Regression Problems cites this paper.
Transformer Semantic Genetic Programming for d-dimensional Symbolic Regression Problems Large Language Models Suffer From Their Own Output: An Analysis of the Self-Consuming Training Loop
Reference 1
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-17T23:15:26.797407Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 831523d4-9212-40be-8ba6-f00e26ef0ebf · inbound
When Does Model Collapse Occur in Structured Interactive Learning? cites this paper.
When Does Model Collapse Occur in Structured Interactive Learning? Large Language Models Suffer From Their Own Output: An Analysis of the Self-Consuming Training Loop
Reference 40
- Resolution
- verified exact
- arxiv_id, observed 2026-05-20T06:33:05.622872Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation e7ecc8da-39e6-45f7-bd1c-f165d5915104 · inbound
The Economics of Model Collapse: Equilibrium, Welfare, and Optimal Provenance Subsidies in Synthetic Data Markets cites this paper.
The Economics of Model Collapse: Equilibrium, Welfare, and Optimal Provenance Subsidies in Synthetic Data Markets Large Language Models Suffer From Their Own Output: An Analysis of the Self-Consuming Training Loop
Reference 4
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-21T02:13:56.563756Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation ebe232d6-fd0f-44cd-9e96-c3ea0617472f · inbound
Self-Training Doesn't Flatten Language -- It Restructures It: Surface Markers Amplify While Deep Syntax Dies cites this paper.
Self-Training Doesn't Flatten Language -- It Restructures It: Surface Markers Amplify While Deep Syntax Dies Large Language Models Suffer From Their Own Output: An Analysis of the Self-Consuming Training Loop
Reference 3
- Resolution
- verified exact
- arxiv_id, observed 2026-05-21T05:49:41.099042Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 646dc64f-2811-41fe-9107-0380d2c1a65b · inbound
Model Collapse as Cultural Evolution cites this paper.
Model Collapse as Cultural Evolution Large Language Models Suffer From Their Own Output: An Analysis of the Self-Consuming Training Loop
Reference 9
- Resolution
- verified exact
- arxiv_id, observed 2026-05-25T05:35:23.369425Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 9c5bf529-d30c-40c7-b5b7-81c8a3abdcdd · inbound
Isolating LLM Lexical Bias: A Curation-Free Triangulated Metric for Preference-Stage Learning cites this paper.
Isolating LLM Lexical Bias: A Curation-Free Triangulated Metric for Preference-Stage Learning Large Language Models Suffer From Their Own Output: An Analysis of the Self-Consuming Training Loop
Reference 29
- Resolution
- verified exact
- arxiv_id, observed 2026-07-01T19:46:10.746390Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation c90858a4-0ad9-4293-b1be-d37af326c69a · 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 Large Language Models Suffer From Their Own Output: An Analysis of the Self-Consuming Training Loop
Reference 150
- Resolution
- verified exact
- arxiv_id, observed 2026-06-30T01:34:09.463145Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 03798236-80b7-4d94-bd33-09cdb664a487 · inbound
The safety failures we are not instrumenting: a perspective on hidden safety-critical challenges in modern AI systems cites this paper.
The safety failures we are not instrumenting: a perspective on hidden safety-critical challenges in modern AI systems Large Language Models Suffer From Their Own Output: An Analysis of the Self-Consuming Training Loop
Reference 7
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T12:54:30.522763Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.