Paper Citation Record · LEDGER

Is Model Collapse Inevitable? Breaking the Curse of Recursion by Accumulating Real and Synthetic Data

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 24 inbound Pith citation observations for arXiv:2404.01413.

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

pith.paper-citation-record.v1
2404.01413 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 24 of 24 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 24 of 24 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:59:47.849718Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-06-29T18:53:51.023274Z

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 e858f8f3-6f0c-498c-bd17-dfe2287b8ae2 · inbound

Reinforcement Learning from Human Feedback cites this paper.

Reinforcement Learning from Human Feedback Is Model Collapse Inevitable? Breaking the Curse of Recursion by Accumulating Real and Synthetic Data

Reference 274

Resolution: verified exact; arxiv_id, observed 2026-05-22T19:32:01.337996Z

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 acfe18bc-6f9a-4729-99a4-49fecdd288ec · inbound

Privacy Amplification Through Synthetic Data: Insights from Linear Regression cites this paper.

Privacy Amplification Through Synthetic Data: Insights from Linear Regression Is Model Collapse Inevitable? Breaking the Curse of Recursion by Accumulating Real and Synthetic Data

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-07T10:39:19.328554Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f9f8d66d-5083-483d-85fe-0d8e47773249 · 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 Is Model Collapse Inevitable? Breaking the Curse of Recursion by Accumulating Real and Synthetic Data

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-07T13:59:47.849718Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a81f5911-b703-410c-8c4a-ea02c64c4425 · 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 Is Model Collapse Inevitable? Breaking the Curse of Recursion by Accumulating Real and Synthetic Data

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-06T23:12:18.939264Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b8f7318e-661a-41ed-996a-831c43db3ae0 · inbound

Position: Machine Learning Conferences Should Establish a "Refutations and Critiques" Track cites this paper.

Position: Machine Learning Conferences Should Establish a "Refutations and Critiques" Track Is Model Collapse Inevitable? Breaking the Curse of Recursion by Accumulating Real and Synthetic Data

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-06T23:13:15.109918Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bf38bfbe-618d-42ce-9b40-7aefeed8aab7 · inbound

FuXi-TC: A generative framework integrating deep learning and physics-based models for improved tropical cyclone forecasts cites this paper.

FuXi-TC: A generative framework integrating deep learning and physics-based models for improved tropical cyclone forecasts Is Model Collapse Inevitable? Breaking the Curse of Recursion by Accumulating Real and Synthetic Data

Reference 35

Resolution: metadata mismatch; arxiv_id, observed 2026-05-18T22:01:51.925149Z

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 5011355b-a954-4d70-a3c2-0cdfe399a9f1 · inbound

Sealing The Backdoor: Unlearning Adversarial Text Triggers In Diffusion Models Using Knowledge Distillation cites this paper.

Sealing The Backdoor: Unlearning Adversarial Text Triggers In Diffusion Models Using Knowledge Distillation Is Model Collapse Inevitable? Breaking the Curse of Recursion by Accumulating Real and Synthetic Data

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-05T18:47:45.278586Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0d760629-133c-4ec9-af57-a6447ecdb887 · inbound

The Anti-Ouroboros Effect: Emergent Resilience in Large Language Models from Recursive Selective Feedback cites this paper.

The Anti-Ouroboros Effect: Emergent Resilience in Large Language Models from Recursive Selective Feedback Is Model Collapse Inevitable? Breaking the Curse of Recursion by Accumulating Real and Synthetic Data

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-05T12:04:03.563556Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f6167c0d-28b1-45f8-a846-c857f477c9d9 · inbound

Epistemic diversity across language models mitigates knowledge collapse cites this paper.

Epistemic diversity across language models mitigates knowledge collapse Is Model Collapse Inevitable? Breaking the Curse of Recursion by Accumulating Real and Synthetic Data

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-03T15:57:15.068720Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7e847d73-d621-438f-83fa-1154dc2ffddb · 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 Is Model Collapse Inevitable? Breaking the Curse of Recursion by Accumulating Real and Synthetic Data

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-03T02:43:34.442154Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c0df71f4-7fe1-46a5-8290-a8ed49364dab · inbound

Can Generative Artificial Intelligence Survive Data Contamination? Theoretical Guarantees under Contaminated Recursive Training cites this paper.

Can Generative Artificial Intelligence Survive Data Contamination? Theoretical Guarantees under Contaminated Recursive Training Is Model Collapse Inevitable? Breaking the Curse of Recursion by Accumulating Real and Synthetic Data

Reference 1959

Resolution: unresolved; no resolver link, observed 2026-08-02T22:51:29.726873Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 12754983-cd0e-4031-bff4-9985c8adb16d · inbound

Drift and selection in LLM text ecosystems cites this paper.

Drift and selection in LLM text ecosystems Is Model Collapse Inevitable? Breaking the Curse of Recursion by Accumulating Real and Synthetic Data

Reference 16

Resolution: metadata mismatch; arxiv_id, observed 2026-05-15T11:55:33.571478Z

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 58afdfd3-d96e-4a03-9158-6fd7bb957b53 · inbound

Filter Babel: The Challenge of Synthetic Media to Authenticity and Common Ground in AI-Mediated Communication cites this paper.

Filter Babel: The Challenge of Synthetic Media to Authenticity and Common Ground in AI-Mediated Communication Is Model Collapse Inevitable? Breaking the Curse of Recursion by Accumulating Real and Synthetic Data

Reference 19

Resolution: metadata mismatch; arxiv_id, observed 2026-05-10T08:22:37.659292Z

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 32505092-d04e-45b3-9a7e-f23d313936f2 · inbound

Knowledge Distillation Must Account for What It Loses cites this paper.

Knowledge Distillation Must Account for What It Loses Is Model Collapse Inevitable? Breaking the Curse of Recursion by Accumulating Real and Synthetic Data

Reference 43

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T23:26:18.516232Z

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 41d35c12-b0c6-45fc-ae1b-de2c5dbfaa0d · inbound

Knowledge Distillation Must Account for What It Loses cites this paper.

Knowledge Distillation Must Account for What It Loses Is Model Collapse Inevitable? Breaking the Curse of Recursion by Accumulating Real and Synthetic Data

Reference 43

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T22:01:13.560448Z

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 eb7fd34a-a8db-4e9b-b1ef-de0461c1d93e · inbound

Cognitive Atrophy and Systemic Collapse in AI-Dependent Software Engineering cites this paper.

Cognitive Atrophy and Systemic Collapse in AI-Dependent Software Engineering Is Model Collapse Inevitable? Breaking the Curse of Recursion by Accumulating Real and Synthetic Data

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-05-12T09:31:26.175121Z

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 81b3a2c8-baa2-4071-9285-bb187c0efffe · inbound

The Impact of AI-Generated Text on the Internet cites this paper.

The Impact of AI-Generated Text on the Internet Is Model Collapse Inevitable? Breaking the Curse of Recursion by Accumulating Real and Synthetic Data

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-05-10T14:05:29.761632Z

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 1d4d648b-7177-4ab6-b62c-62f4bef138b3 · inbound

Position: the Stochastic Parrot in the Coal Mine. Model Collapse is a Threat to Low-Resource Communities cites this paper.

Position: the Stochastic Parrot in the Coal Mine. Model Collapse is a Threat to Low-Resource Communities Is Model Collapse Inevitable? Breaking the Curse of Recursion by Accumulating Real and Synthetic Data

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-05-09T06:35:40.879283Z

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 806c5b2f-70af-4fc1-9220-a5ddad2f90a1 · inbound

Curated Synthetic Data Doesn't Have to Collapse: A Theoretical Study of Generative Retraining with Pluralistic Preferences cites this paper.

Curated Synthetic Data Doesn't Have to Collapse: A Theoretical Study of Generative Retraining with Pluralistic Preferences Is Model Collapse Inevitable? Breaking the Curse of Recursion by Accumulating Real and Synthetic Data

Reference 78

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T02:30:54.535986Z

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 a9cf2b7a-0a29-45d9-835e-e0bd3f8632ce · 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 Is Model Collapse Inevitable? Breaking the Curse of Recursion by Accumulating Real and Synthetic Data

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-05-21T02:13:56.593393Z

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 c554fbee-e6ed-40df-9572-39e4306becb1 · inbound

Elias in the Lighthouse, Again? Diagnosing Low Diversity in LLM Stories cites this paper.

Elias in the Lighthouse, Again? Diagnosing Low Diversity in LLM Stories Is Model Collapse Inevitable? Breaking the Curse of Recursion by Accumulating Real and Synthetic Data

Reference 1

Resolution: metadata mismatch; arxiv_id, observed 2026-06-29T18:53:51.024940Z

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 73141138-8704-469f-b00a-6d3bed9e3ebe · inbound

Epidemiology of Model Collapse: Modeling Synthetic Data Contamination via Bilayer SIR Dynamics cites this paper.

Epidemiology of Model Collapse: Modeling Synthetic Data Contamination via Bilayer SIR Dynamics Is Model Collapse Inevitable? Breaking the Curse of Recursion by Accumulating Real and Synthetic Data

Reference 5

Resolution: unresolved; no resolver link, observed 2026-07-12T21:23:44.468570Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 24e3407f-0141-4902-963d-b37b96bb0501 · inbound

Self-Poisoning in Adaptive Out-of-Distribution Detection: A Sharp-Threshold Theory and Certified Label-Free Calibration cites this paper.

Self-Poisoning in Adaptive Out-of-Distribution Detection: A Sharp-Threshold Theory and Certified Label-Free Calibration Is Model Collapse Inevitable? Breaking the Curse of Recursion by Accumulating Real and Synthetic Data

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-01T08:31:09.223043Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 196c4c5a-858f-4aa4-90c4-50597cef5517 · inbound

DataOrchestra: Learning to Orchestrate Per-Example Curation of Pretraining Data cites this paper.

DataOrchestra: Learning to Orchestrate Per-Example Curation of Pretraining Data Is Model Collapse Inevitable? Breaking the Curse of Recursion by Accumulating Real and Synthetic Data

Reference 41

Resolution: unresolved; no resolver link, observed 2026-07-31T07:01:46.430428Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.