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Paper Citation Record · LEDGER

Strong Model Collapse

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 24 inbound Pith citation observations for arXiv:2410.04840.

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

pith.paper-citation-record.v1
2410.04840 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 2026-08-21T06:32:19.484+00:00

measured 24 of 24 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T22:12:21.922873Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-01T00:15:09.312708Z

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 a168e770-2e3b-4079-8070-1cb125594ecd · inbound

Asymptotics of Linear Regression with Linearly Dependent Data cites this paper.

Asymptotics of Linear Regression with Linearly Dependent Data Strong Model Collapse

Reference 2018

Resolution
unresolved
no resolver link, observed 2026-08-11T22:18:04.177306Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T22:18:04.177306Z digest=sha256:c6efb6b94d962a92c21dbfee0600cbb6ce5336d770d38bd03daf948fb339eeaf

Observation 984c5839-80c7-4eaa-b340-4b0f6df82317 · inbound

Analyzing and Mitigating Model Collapse in Rectified Flow Models cites this paper.

Analyzing and Mitigating Model Collapse in Rectified Flow Models Strong Model Collapse

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-11T18:14:24.062182Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T18:14:24.062182Z digest=sha256:201bf4be66047b69386ed2efd56bcc58a7103605c68735fd40308856563363b0

Observation 9426318e-9a0c-40b1-9e46-398078daf04d · inbound

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

How to Synthesize Text Data without Model Collapse? Strong Model Collapse

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-11T12:05:48.426334Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T12:05:48.426334Z digest=sha256:edb2f51960e541a91354c9d0ae72e546a9e8fc80eef9c5e93c4823b4d3eaf170

Observation 21d51e08-4c6d-4668-87f7-a75324e11a01 · 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 Strong Model Collapse

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-11T11:55:12.102720Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T11:55:12.102720Z digest=sha256:5b4583aa845bfff5be8f70cd2207e02c3c8efab0dea2dc8bf9f6de6101c490c2

Observation 7eb2c0b3-031c-4ea7-993d-3f056f448111 · inbound

Reformulation for Pretraining Data Augmentation cites this paper.

Reformulation for Pretraining Data Augmentation Strong Model Collapse

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-08T23:08:36.446828Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T23:08:36.446828Z digest=sha256:a65b77c99b318d168fa02afd6ec302b5ceaee6a85a39967c9ba19ff366904275

Observation fab97c1a-4268-4b55-8dd0-ec03a7c28cd1 · inbound

Generating on Generated: An Approach Towards Self-Evolving Diffusion Models cites this paper.

Generating on Generated: An Approach Towards Self-Evolving Diffusion Models Strong Model Collapse

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-07T20:00:33.918994Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T20:00:33.918994Z digest=sha256:d64eb64a858f209cce6780137955c7d0fd237477a6d4afaaa14c8429e62137c6

Observation 96c6db6c-dc2c-49ec-aaf2-2097805ff81e · inbound

Will LLMs Scaling Hit the Wall? Breaking Barriers via Distributed Resources on Massive Edge Devices cites this paper.

Will LLMs Scaling Hit the Wall? Breaking Barriers via Distributed Resources on Massive Edge Devices Strong Model Collapse

Reference 35

Resolution
verified exact
arxiv_id, observed 2026-05-23T01:05:16.331326Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-23T01:03:26.037233Z digest=sha256:e88b842737c2d0cee94c23f5895522ddcfba34e9f512bde3a91d2b4267ff06f0

Observation 4c65d503-60c3-4471-827d-eaa022c6c5fe · inbound

Domain Regeneration: How well do LLMs match syntactic properties of text domains? cites this paper.

Domain Regeneration: How well do LLMs match syntactic properties of text domains? Strong Model Collapse

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-15T22:12:21.922873Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T22:12:21.922873Z digest=sha256:afd2d397428705cb4753d5ef9c444a4ac2fbe2085bcd7cacaf8020bca2d8166f

Observation c13c00d5-783b-41ba-be42-f4ec591f9d3d · inbound

Benchmarking and Rethinking Knowledge Editing for Large Language Models cites this paper.

Benchmarking and Rethinking Knowledge Editing for Large Language Models Strong Model Collapse

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-07T14:31:43.769407Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:31:43.769407Z digest=sha256:daad4dca0955bd8b3b7346996784095b78b9bc8600b932a778d1c5cad09f4044

Observation e5cf4c0f-e01f-4873-8f59-e6288c5fa59d · 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 Strong Model Collapse

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-07T13:59:47.622164Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T13:59:47.622164Z digest=sha256:db6fc4212b5b148f07831966a31c0bd708afa81ab0a336a945764eaa8b55382b

Observation 4e72d7c3-b68b-44bd-8161-0031bba4bf4c · inbound

Data Curation Matters: Model Collapse and Spurious Shift Performance Prediction from Training on Uncurated Text Embeddings cites this paper.

Data Curation Matters: Model Collapse and Spurious Shift Performance Prediction from Training on Uncurated Text Embeddings Strong Model Collapse

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-06T23:28:50.464745Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:28:50.464745Z digest=sha256:ecee892218c60f5296cbaee482a47c7564e7453aa6c0386225fbc38c30c864c5

Observation 5bcb2006-a0a3-4586-9a10-828463c2288e · 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 Strong Model Collapse

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-06T23:12:18.920822Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:12:18.920822Z digest=sha256:4f3c8b506c908634049b4a486234e7e54216a83af589b5220010669f7884c855

Observation 2be2b16b-53ba-4e57-96af-843ea5b13683 · inbound

Model Collapse Is Not a Bug but a Feature in Machine Unlearning for LLMs cites this paper.

Model Collapse Is Not a Bug but a Feature in Machine Unlearning for LLMs Strong Model Collapse

Reference 2025

Resolution
unresolved
no resolver link, observed 2026-08-06T19:59:50.858021Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:59:50.858021Z digest=sha256:c97954e113643603e5de645e554f725e44f9d0b3e52af1df7c8e87f298da5600

Observation 63873c1c-b5f5-4c7c-8dcd-6ad92c865d88 · 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 Strong Model Collapse

Reference 79

Resolution
unresolved
no resolver link, observed 2026-08-05T18:47:45.320848Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T18:47:45.320848Z digest=sha256:07076e094e1656d5f79236e41d4d828182929be1098f64f92e7c2f5d9e58547b

Observation 1024d491-7ca7-4d35-b713-16a1fb942ee1 · inbound

Knowledge Collapse in LLMs: When Fluency Survives but Facts Fail under Recursive Synthetic Training cites this paper.

Knowledge Collapse in LLMs: When Fluency Survives but Facts Fail under Recursive Synthetic Training Strong Model Collapse

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-15T16:33:31.909316Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T16:33:31.909316Z digest=sha256:0f1fe49972ebb6d38d0beffb9f2265d007aab1d2668f59eb6fca7e007fae4f97

Observation 8f69569c-b713-48c9-878f-bac6ad083715 · inbound

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

Epistemic diversity across language models mitigates knowledge collapse Strong Model Collapse

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-03T15:57:14.257493Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T15:57:14.257493Z digest=sha256:8b3b3f2ef2a44ba0fd988af2260e509fa60244c4b373d1e75b16dc0aa6ac214b

Observation 7e6b4a21-f2f7-4556-ac2b-cd36a05ad8a0 · inbound

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

Generative artificial intelligence reduces social welfare through model collapse Strong Model Collapse

Reference 63

Resolution
verified exact
arxiv_id, observed 2026-05-11T18:56:05.944753Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-08T13:26:57.925635Z digest=sha256:1a5d1accd8a855bbd1f460a9cc4b5a619193fdf08e541696bc665c991ec1109c

Observation ae122c07-ca55-4a7a-9495-2d96e17302d9 · inbound

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

The Impact of AI-Generated Text on the Internet Strong Model Collapse

Reference 9

Resolution
verified exact
arxiv_id, observed 2026-05-10T14:05:29.776890Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-10T14:01:29.175202Z digest=sha256:f3cbd24f4f5f550b88a57d15347288752d235aafbd00665598e7906da97724c7

Observation 0fa508db-7dc5-478b-bc6e-c2e76111dd76 · inbound

LLM Ghostbusters: Surgical Hallucination Suppression via Adaptive Unlearning cites this paper.

LLM Ghostbusters: Surgical Hallucination Suppression via Adaptive Unlearning Strong Model Collapse

Reference 11

Resolution
verified exact
arxiv_id, observed 2026-05-11T16:06:21.445243Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-09T18:44:05.775332Z digest=sha256:78393998f2ecf7671edcd2c8b864184dbad9cb6b9c8705240bb4a5673f65b715

Observation eddec058-0ef5-4275-8ce6-7b867864caaf · 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 Strong Model Collapse

Reference 7

Resolution
metadata mismatch
arxiv_id, observed 2026-05-09T06:35:40.872329Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-08T18:16:51.881163Z digest=sha256:7419d9f98a0e91f934054de6b0a23dd493e6a36bf9223f121646c27c0b44b2a9

Observation d5da17b7-297e-4213-9c8f-495f2242b6b6 · 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 Strong Model Collapse

Reference 6

Resolution
metadata mismatch
arxiv_id, observed 2026-07-01T00:15:09.314763Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-07-01T00:10:08.976588Z digest=sha256:1b17886ee170dfd1b6fc483fdab4e20642377e95fa7d1dfa24edc243cfb759c7

Observation ed749edb-2612-4f9c-b33f-0a43728d2850 · inbound

Unlocking LLM Creativity in Science through Analogical Reasoning cites this paper.

Unlocking LLM Creativity in Science through Analogical Reasoning Strong Model Collapse

Reference 14

Resolution
verified exact
arxiv_id, observed 2026-05-13T01:57:05.682823Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-13T01:53:26.159310Z digest=sha256:bf96dd4d7489fd8b17133a26421c1f701718645cbe8fbf0003a60c901f4fbb69

Observation 77e0b53e-27ef-4bc8-8286-f6dabb699bab · inbound

Revisiting Parameter-Based Knowledge Editing in Large Language Models: Theoretical Limits and Empirical Evidence cites this paper.

Revisiting Parameter-Based Knowledge Editing in Large Language Models: Theoretical Limits and Empirical Evidence Strong Model Collapse

Reference 15

Resolution
verified exact
arxiv_id, observed 2026-06-28T19:32:35.481748Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-06-28T19:03:00.055800Z digest=sha256:5ef9690adaa4163a0e662f2ab27791786b35696c7aba5ee86c4f7b55a4bc7b79

Observation 12fab67b-2f47-472f-9727-f9390d56eb8f · 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 Strong Model Collapse

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-01T08:31:09.057320Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T08:31:09.057320Z digest=sha256:2333a42368b4181d3f67b250b1457c4526c4353fbbcc0386c56453e65c7add94