Paper Citation Record · LEDGER

Large Language Models Suffer From Their Own Output: An Analysis of the Self-Consuming Training Loop

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 19 inbound Pith citation observations for arXiv:2311.16822.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2311.16822 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 19 of 19 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 19 of 19 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T23:15:28.530737Z

measured 1 of 1 external citation measurements

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 d2c8edaf-45f1-49d0-9a5a-abaa4a59eb3e · 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 Large Language Models Suffer From Their Own Output: An Analysis of the Self-Consuming Training Loop

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-11T23:15:28.530737Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 37597351-7ede-412e-bcf7-547cb9633a1c · inbound

Why Does ChatGPT "Delve" So Much? Exploring the Sources of Lexical Overrepresentation in Large Language Models cites this paper.

Why Does ChatGPT "Delve" So Much? Exploring the Sources of Lexical Overrepresentation in Large Language Models Large Language Models Suffer From Their Own Output: An Analysis of the Self-Consuming Training Loop

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-11T15:02:39.477913Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 04670e5a-9ed3-4656-8cfa-114ded09bf9b · inbound

How to Synthesize Text Data without Model Collapse? cites this paper.

How to Synthesize Text Data without Model Collapse? Large Language Models Suffer From Their Own Output: An Analysis of the Self-Consuming Training Loop

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-11T12:05:48.412401Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c8d65c2d-7c1f-4f28-a378-7f42cff081bf · inbound

Theoretical Proof that Auto-regressive Language Models Collapse when Real-world Data is a Finite Set cites this paper.

Theoretical Proof that Auto-regressive Language Models Collapse when Real-world Data is a Finite Set Large Language Models Suffer From Their Own Output: An Analysis of the Self-Consuming Training Loop

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-11T11:55:12.078470Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6cbf3e27-7c68-41c6-8cdf-7eb0c9e00dd2 · inbound

Are We in the AI-Generated Text World Already? Quantifying and Monitoring AIGT on Social Media cites this paper.

Are We in the AI-Generated Text World Already? Quantifying and Monitoring AIGT on Social Media Large Language Models Suffer From Their Own Output: An Analysis of the Self-Consuming Training Loop

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-11T05:04:51.850670Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 288bc404-e1e1-4219-95e9-b1dd438e5c94 · inbound

Transformer Semantic Genetic Programming for Symbolic Regression cites this paper.

Transformer Semantic Genetic Programming for Symbolic Regression Large Language Models Suffer From Their Own Output: An Analysis of the Self-Consuming Training Loop

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-09T23:25:11.165137Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cb20644f-f92e-4437-8b47-d1ee2af1b2ba · 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 Large Language Models Suffer From Their Own Output: An Analysis of the Self-Consuming Training Loop

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-09T14:54:29.116977Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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 2026-08-20T06:33:59.587034+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 2026-08-20T06:33:59.587034+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 2026-08-20T06:33:59.587034+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 2026-08-20T06:33:59.587034+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 2026-08-20T06:33:59.587034+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 2026-08-20T06:33:59.587034+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 2026-08-20T06:33:59.587034+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.