Paper Citation Record · LEDGER

A Tale of Tails: Model Collapse as a Change of Scaling Laws

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 12 inbound Pith citation observations for arXiv:2402.07043.

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

pith.paper-citation-record.v1
2402.07043 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 12 of 12 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 12 of 12 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T14:54:29.140775Z

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

39
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 f9bc22b5-804e-46ec-b7b2-c4e3fa27385e · inbound

Scaling Synthetic Data Creation with 1,000,000,000 Personas cites this paper.

Scaling Synthetic Data Creation with 1,000,000,000 Personas A Tale of Tails: Model Collapse as a Change of Scaling Laws

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-05-16T00:03:55.702551Z

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.

Observation d3033a78-e28a-40c4-ac2c-22ba3ff78b7a · 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 A Tale of Tails: Model Collapse as a Change of Scaling Laws

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-09T14:54:29.140775Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3fbe88e4-a8c6-4d30-9b7b-492b9e1c8af5 · inbound

Reformulation for Pretraining Data Augmentation cites this paper.

Reformulation for Pretraining Data Augmentation A Tale of Tails: Model Collapse as a Change of Scaling Laws

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-08T23:08:36.441460Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2ae4fb71-06e8-49bc-8eca-89de8e887beb · inbound

Two Experts Are All You Need for Steering Thinking: Reinforcing Cognitive Effort in MoE Reasoning Models Without Additional Training cites this paper.

Two Experts Are All You Need for Steering Thinking: Reinforcing Cognitive Effort in MoE Reasoning Models Without Additional Training A Tale of Tails: Model Collapse as a Change of Scaling Laws

Reference 74

Resolution: unresolved; no resolver link, observed 2026-08-07T15:36:06.359664Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fd1d13bd-5531-4d84-ac15-50c6891f3cbe · 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 A Tale of Tails: Model Collapse as a Change of Scaling Laws

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-06T23:12:18.925506Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5ba5c347-1fcf-4d4a-a25e-036dae4e4507 · inbound

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

Epistemic diversity across language models mitigates knowledge collapse A Tale of Tails: Model Collapse as a Change of Scaling Laws

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-03T15:57:14.328485Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e5fcafa8-09f0-4b31-988c-2437604fcc9e · inbound

Securing High-Concurrency Ticket Sales: A Framework Based on Microservice cites this paper.

Securing High-Concurrency Ticket Sales: A Framework Based on Microservice A Tale of Tails: Model Collapse as a Change of Scaling Laws

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-03T13:15:16.409919Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 80f6e643-14ab-4945-80cc-fd240174a446 · inbound

Generative artificial intelligence reduces social welfare through model collapse cites this paper.

Generative artificial intelligence reduces social welfare through model collapse A Tale of Tails: Model Collapse as a Change of Scaling Laws

Reference 37

Resolution: verified exact; arxiv_id, observed 2026-05-11T18:56:05.938630Z

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.

Observation 09af97ec-0864-47b3-b414-a8e2d173a41c · inbound

Statistical Properties of Training & Generalization cites this paper.

Statistical Properties of Training & Generalization A Tale of Tails: Model Collapse as a Change of Scaling Laws

Reference 219

Resolution: metadata mismatch; arxiv_id, observed 2026-07-04T05:39:40.909562Z

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.

Observation af61d8b7-937b-45c5-b470-f18dbc322b3b · inbound

Statistical Properties of Training & Generalization cites this paper.

Statistical Properties of Training & Generalization A Tale of Tails: Model Collapse as a Change of Scaling Laws

Reference 219

Resolution: metadata mismatch; arxiv_id, observed 2026-07-02T21:57:25.552196Z

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.

Observation e34ce9d4-149c-4b6f-af84-201858ce8218 · inbound

The Crowded Embedding Space: A Mean-Field Mechanism for Emergent Marginalization in Retrieval-Augmented Agents cites this paper.

The Crowded Embedding Space: A Mean-Field Mechanism for Emergent Marginalization in Retrieval-Augmented Agents A Tale of Tails: Model Collapse as a Change of Scaling Laws

Reference 3

Resolution: verified exact; arxiv_id, observed 2026-06-30T11:44:38.809868Z

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.

Observation 833922fa-eb81-4638-a02f-eea857017993 · 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 A Tale of Tails: Model Collapse as a Change of Scaling Laws

Reference 152

Resolution: metadata mismatch; arxiv_id, observed 2026-06-30T01:34:09.473654Z

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.