Paper Citation Record · LEDGER

Beyond Model Collapse: Scaling Up with Synthesized Data Requires Verification

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2406.07515.

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

pith.paper-citation-record.v1
2406.07515 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 8 of 8 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T12:05:48.434946Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T02:30:54.384368Z

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 06c60cc8-9b8e-4d29-9d43-77fdf001147a · inbound

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

How to Synthesize Text Data without Model Collapse? Beyond Model Collapse: Scaling Up with Synthesized Data Requires Verification

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-11T12:05:48.434946Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d257c9f7-a878-4c21-a51a-78b41ac53ae6 · inbound

Multi-Agent Sampling: Scaling Inference Compute for Data Synthesis with Tree Search-Based Agentic Collaboration cites this paper.

Multi-Agent Sampling: Scaling Inference Compute for Data Synthesis with Tree Search-Based Agentic Collaboration Beyond Model Collapse: Scaling Up with Synthesized Data Requires Verification

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-11T05:53:01.223423Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bc86d823-09b6-4210-b568-a5af8188e6b6 · 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 Beyond Model Collapse: Scaling Up with Synthesized Data Requires Verification

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-09T14:54:29.157183Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fd24b1af-926b-4717-b0e2-49ff181bfda3 · inbound

SeDi-Instruct: Enhancing Alignment of Language Models through Self-Directed Instruction Generation cites this paper.

SeDi-Instruct: Enhancing Alignment of Language Models through Self-Directed Instruction Generation Beyond Model Collapse: Scaling Up with Synthesized Data Requires Verification

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-08T21:35:43.386436Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4a98b15e-7d2e-4c28-b846-013385ff65ff · 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 Beyond Model Collapse: Scaling Up with Synthesized Data Requires Verification

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-06T23:12:18.934682Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 30e63d64-4a89-4d1d-879f-e95b0ab69bc2 · inbound

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

Epistemic diversity across language models mitigates knowledge collapse Beyond Model Collapse: Scaling Up with Synthesized Data Requires Verification

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-03T15:57:14.739114Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 68b96946-0003-4499-b0d7-c3341c91fb8c · 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 Beyond Model Collapse: Scaling Up with Synthesized Data Requires Verification

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-03T02:43:33.780269Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 50c07b2e-f431-4979-8c9e-529e1c29a3f4 · 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 Beyond Model Collapse: Scaling Up with Synthesized Data Requires Verification

Reference 90

Resolution: verified exact; arxiv_id, observed 2026-05-11T02:30:54.388622Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.