Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-07-12T21:23:44.468570Z
Paper Citation Record · LEDGER
As of 7 August 2026, this Paper Citation Record lists 28 of 28 outbound references and 0 inbound Pith citation observations for arXiv:2606.05168.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-07-12T21:23:44.468570Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
28 of 28 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation e22355e9-879f-4ba0-a399-14676c306756 · outbound
Epidemiology of Model Collapse: Modeling Synthetic Data Contamination via Bilayer SIR Dynamics Self-Consuming Generative Models Go MAD
Reference 1
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7e02c81a-3119-4d2b-855d-297cb07fd6f0 · outbound
Epidemiology of Model Collapse: Modeling Synthetic Data Contamination via Bilayer SIR Dynamics Dynamical Models of Tuberculosis and Their Applications.Mathematical Biosciences and Engineering, volume 1, pp
Reference 2
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 618d6c32-e002-49db-b616-b0ab1887e9be · outbound
Epidemiology of Model Collapse: Modeling Synthetic Data Contamination via Bilayer SIR Dynamics Unresolved cited work
Reference 3
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c65e37d2-737d-45c3-b5f3-213b3dff9a4d · outbound
Epidemiology of Model Collapse: Modeling Synthetic Data Contamination via Bilayer SIR Dynamics Strong Model Collapse
Reference 4
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 73141138-8704-469f-b00a-6d3bed9e3ebe · outbound
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
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation cb9b4774-9833-46a9-8aa3-a57f506a1ef7 · outbound
Epidemiology of Model Collapse: Modeling Synthetic Data Contamination via Bilayer SIR Dynamics The Mathematics of Infectious Diseases.SIAM Review, volume 42, pp
Reference 6
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a8cb3eb6-c4f9-4679-8e2d-3b5f8f356f85 · outbound
Epidemiology of Model Collapse: Modeling Synthetic Data Contamination via Bilayer SIR Dynamics Epidemiologi- cal Modeling of News and Rumors on Twitter.Proceedings of the Workshop on Social Network Mining and Analysis, pp
Reference 7
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2c1dbe3d-466a-41d0-8071-1c3ca24a0415 · outbound
Epidemiology of Model Collapse: Modeling Synthetic Data Contamination via Bilayer SIR Dynamics Measuring and Modeling Computer Virus Prevalence
Reference 8
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 16bc07e2-de9f-4780-bacb-a96fe7bd81ea · outbound
Epidemiology of Model Collapse: Modeling Synthetic Data Contamination via Bilayer SIR Dynamics A Contribution to the Mathematical Theory of Epidemics.Proceedings of the Royal Society of London
Reference 9
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 632a5ec0-f95b-4225-b8fb-887856c81e54 · outbound
Epidemiology of Model Collapse: Modeling Synthetic Data Contamination via Bilayer SIR Dynamics A Watermark for Large Language Models
Reference 10
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation bc750028-1782-4fd2-b6c4-b7219a74ae6a · outbound
Epidemiology of Model Collapse: Modeling Synthetic Data Contamination via Bilayer SIR Dynamics Monitoring AI- Modified Content at Scale
Reference 11
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 190cbd97-1d64-49a7-b860-948616d5b451 · outbound
Epidemiology of Model Collapse: Modeling Synthetic Data Contamination via Bilayer SIR Dynamics A Pretrainer's Guide to Training Data: Measuring the Effects of Data Age, Domain Coverage, Quality, & Toxicity
Reference 12
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 54862341-d493-4ef7-aa6b-274597f84022 · outbound
Epidemiology of Model Collapse: Modeling Synthetic Data Contamination via Bilayer SIR Dynamics Pointer Sentinel Mixture Models
Reference 13
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation dc515572-43e5-4e1d-a02d-f6adcfcc3486 · outbound
Epidemiology of Model Collapse: Modeling Synthetic Data Contamination via Bilayer SIR Dynamics Model Cards for Model Reporting
Reference 14
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ab75398d-4194-47b8-8dbd-4b4b2daa3f3d · outbound
Epidemiology of Model Collapse: Modeling Synthetic Data Contamination via Bilayer SIR Dynamics Epidemic Processes in Complex Networks.Reviews of Modern Physics, volume 87, pp
Reference 15
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 667124e1-f1a7-49ed-8256-96dcbb701cbc · outbound
Epidemiology of Model Collapse: Modeling Synthetic Data Contamination via Bilayer SIR Dynamics Unresolved cited work
Reference 16
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1450a001-d7ab-4a64-b82c-77e47e3a0ff5 · outbound
Epidemiology of Model Collapse: Modeling Synthetic Data Contamination via Bilayer SIR Dynamics Language Models are Unsupervised Multitask Learners.OpenAI Blog, 2019
Reference 17
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation fb9d8010-3c75-4840-82a2-65f0be2e77fe · outbound
Epidemiology of Model Collapse: Modeling Synthetic Data Contamination via Bilayer SIR Dynamics Variance Based Sensitivity Analysis of Model Output
Reference 18
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation be72ae39-e5e5-4674-94d4-df177db1afdd · outbound
Epidemiology of Model Collapse: Modeling Synthetic Data Contamination via Bilayer SIR Dynamics How Bad is Training on Synthetic Data? A Statistical Analysis
Reference 19
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 655447cc-815b-4133-a45a-72c4a67f459f · outbound
Epidemiology of Model Collapse: Modeling Synthetic Data Contamination via Bilayer SIR Dynamics AI models collapse when trained on recursively generated data.Nature, volume 631, pp
Reference 20
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 63a3f436-394a-4684-b263-7fbe20f27f16 · outbound
Epidemiology of Model Collapse: Modeling Synthetic Data Contamination via Bilayer SIR Dynamics The Science of Detecting LLM-Generated Text
Reference 21
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 92120aa8-aa04-459d-a944-21d0b1aa39f9 · outbound
Epidemiology of Model Collapse: Modeling Synthetic Data Contamination via Bilayer SIR Dynamics AI-Generated Content Prevalence in Web Corpora
Reference 22
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7ca09481-2e47-438e-a150-a4badfe250f0 · outbound
Epidemiology of Model Collapse: Modeling Synthetic Data Contamination via Bilayer SIR Dynamics Reproduction Numbers and Sub-threshold Endemic Equilibria for Compartmental Models of Disease Transmission.Mathematical Bio- sciences, volume 180, pp
Reference 23
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c7b418f3-43a6-4b51-b20e-3a7ea867939e · outbound
Epidemiology of Model Collapse: Modeling Synthetic Data Contamination via Bilayer SIR Dynamics The Spread of True and False News Online
Reference 24
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 96067dd7-092d-4a81-b39d-4ac2e472fc70 · outbound
Epidemiology of Model Collapse: Modeling Synthetic Data Contamination via Bilayer SIR Dynamics Infection occurs with probabilityp(Bernoulli trial)
Reference 25
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 49dd3c83-7b8a-41b5-961c-0c527d83e410 · outbound
Epidemiology of Model Collapse: Modeling Synthetic Data Contamination via Bilayer SIR Dynamics 3.Recovery: Each infected node recovers with probabilityγ i per step
Reference 26
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6dfbde08-ff32-4e66-8d0d-1b3ef0e60525 · outbound
Epidemiology of Model Collapse: Modeling Synthetic Data Contamination via Bilayer SIR Dynamics Unresolved cited work
Reference 27
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 10b608e1-6fb6-44fd-af06-02006342a180 · outbound
Epidemiology of Model Collapse: Modeling Synthetic Data Contamination via Bilayer SIR Dynamics 20 realizations are run per configuration for 50 time steps (default)
Reference 28
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
No inbound Pith citation observations are available.