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Paper Citation Record · LEDGER

Self-Consuming Generative Models Go MAD

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 26 inbound Pith citation observations for arXiv:2307.01850.

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

pith.paper-citation-record.v1
2307.01850 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 26 of 26 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 26 of 26 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T20:00:33.882178Z

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

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External citation measurements

18
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 33f523a0-98b8-4133-9064-41e8eba63293 · inbound

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

Generating on Generated: An Approach Towards Self-Evolving Diffusion Models Self-Consuming Generative Models Go MAD

Reference 2

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unresolved
no resolver link, observed 2026-08-07T20:00:33.882178Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T20:00:33.882178Z digest=sha256:92857ddafebbd96fb142bc873798a38fc1556c8bffcdadb3e71a9b4cd5435c94

Observation 14d144f6-84dc-42bd-bb9d-f609f2e577db · 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 Self-Consuming Generative Models Go MAD

Reference 36

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verified exact
arxiv_id, observed 2026-05-23T01:05:16.243082Z

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.

source=pdf_text observed=2026-05-23T01:03:26.037233Z digest=sha256:94c6d3b06284d982c3ee7d7e085ee7fb2e9a052bb42b01a78e18d5765900578b

Observation 2d5b59f7-094d-4a56-b61d-329fd53e3d82 · inbound

Kaleidoscope Gallery: Exploring Ethics and Generative AI Through Art cites this paper.

Kaleidoscope Gallery: Exploring Ethics and Generative AI Through Art Self-Consuming Generative Models Go MAD

Reference 2023

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no resolver link, observed 2026-08-07T15:36:51.611193Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:36:51.611193Z digest=sha256:ff953a1853f6fd7e3ddfbde7516584aea737fc4838943a016ae55fb0f2785e57

Observation 6693d069-44ed-41c9-91c4-491aee5c4d7d · inbound

On Inverse Problems, Parameter Estimation, and Domain Generalization cites this paper.

On Inverse Problems, Parameter Estimation, and Domain Generalization Self-Consuming Generative Models Go MAD

Reference 2

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verified exact
arxiv_id, observed 2026-05-19T11:17:15.636653Z

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.

source=pdf_text observed=2026-05-19T11:13:17.446203Z digest=sha256:afb8d816b3af981cb12c674823ea71bc8ebfc28814f464294854082dec541f07

Observation 94d62181-027a-4867-9c86-aee8323be749 · inbound

Ambient Diffusion Omni: Training Good Models with Bad Data cites this paper.

Ambient Diffusion Omni: Training Good Models with Bad Data Self-Consuming Generative Models Go MAD

Reference 3

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no resolver link, observed 2026-08-07T05:01:12.500434Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:01:12.500434Z digest=sha256:2a4889cff6d9dd2cb0e90757ea6ae588748c0c75d25c5b50f9c37f581b1ff97b

Observation 0bec828c-40a6-4f54-9c90-70961c5b0713 · 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 Self-Consuming Generative Models Go MAD

Reference 3

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no resolver link, observed 2026-08-07T13:59:47.009765Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T13:59:47.009765Z digest=sha256:83efc8de8cc0aeaa8242823ded2008b8f07e5910d8663d07b50bf75d880d338a

Observation 78fda59e-aa51-458d-b90c-3d77c6cfb963 · 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 Self-Consuming Generative Models Go MAD

Reference 5

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unresolved
no resolver link, observed 2026-08-06T23:13:11.815134Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T23:13:11.815134Z digest=sha256:7cf0bff12b61ece3faa92c3498514cf499b580412af92d04379bbaba7884142d

Observation c8e406f4-5807-4b40-aa23-2db26819a608 · inbound

Exploring the Structure of AI-Induced Language Change in Scientific English cites this paper.

Exploring the Structure of AI-Induced Language Change in Scientific English Self-Consuming Generative Models Go MAD

Reference 3

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no resolver link, observed 2026-08-06T22:24:06.948898Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T22:24:06.948898Z digest=sha256:317c444949c06a434aa52914c011d9aae6266ca09798b69edc07a5a9dd511948

Observation e73e8ca3-1e82-4032-8a5d-6a4138950695 · inbound

Losing our Tail, Again: (Un)Natural Selection & Multilingual LLMs cites this paper.

Losing our Tail, Again: (Un)Natural Selection & Multilingual LLMs Self-Consuming Generative Models Go MAD

Reference 1

Resolution
verified exact
arxiv_id, observed 2026-05-19T06:47:07.206996Z

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.

source=arxiv_source observed=2026-05-19T06:43:13.780123Z digest=sha256:1fd3a1cfa27b6b4f7dd59c8906c8be439f4a8a811311e8f878f1dc8ffcc6b084

Observation 7a41c542-6e30-4470-a8ca-f96930a820f8 · inbound

Model Misalignment and Language Change: Traces of AI-Associated Language in Unscripted Spoken English cites this paper.

Model Misalignment and Language Change: Traces of AI-Associated Language in Unscripted Spoken English Self-Consuming Generative Models Go MAD

Reference 6

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no resolver link, observed 2026-08-06T10:23:57.591093Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T10:23:57.591093Z digest=sha256:42126385e5fbdae8b97a6b267b114127f9ea93684f9ba2312d4fdc6daccd1903

Observation f5dd92dd-f217-455a-a299-e6bf90f53065 · inbound

From trigonal to triclinic: Symmetry-tuned Rashba effects in buckled honeycomb SrHfO$_{3}$-based heterostructures cites this paper.

From trigonal to triclinic: Symmetry-tuned Rashba effects in buckled honeycomb SrHfO$_{3}$-based heterostructures Self-Consuming Generative Models Go MAD

Reference 1

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unresolved
no resolver link, observed 2026-08-06T05:19:12.507030Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T05:19:12.507030Z digest=sha256:5252e57387a89dc99a6c367df4f13e5868feb6cf83726d2a944603b817f713e6

Observation bb892c8f-97c7-4f0c-b68e-48f30d6fc0a3 · inbound

Benchmarking the Detection of LLMs-Generated Modern Chinese Poetry cites this paper.

Benchmarking the Detection of LLMs-Generated Modern Chinese Poetry Self-Consuming Generative Models Go MAD

Reference 4

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unresolved
no resolver link, observed 2026-08-05T12:26:28.116642Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T12:26:28.116642Z digest=sha256:a5138389d9ecdead49a346f416a9c801756662f2104ad4b7eb7557bd9a44ccfa

Observation c8870f81-57b3-4c43-a126-d5e417ac5a14 · inbound

Black-Box Detection of LLM-Generated Text Using Generalized Jensen-Shannon Divergence cites this paper.

Black-Box Detection of LLM-Generated Text Using Generalized Jensen-Shannon Divergence Self-Consuming Generative Models Go MAD

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-04T11:01:39.506548Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T11:01:39.506548Z digest=sha256:f1f136d346d4600f94608add234af21e114a77de82ff20caa9e4c48f323609f9

Observation 8460d057-b06d-4f33-bf5f-3b3120c7d4bf · inbound

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

Epistemic diversity across language models mitigates knowledge collapse Self-Consuming Generative Models Go MAD

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-03T15:57:13.716682Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T15:57:13.716682Z digest=sha256:a0fd0d256ba4180c2f61dbde613894b5bf0b1d6b2fa35af2d6195a8e491f76da

Observation d3edbd05-0a42-47f0-93db-b6ad1b7a5cb2 · 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 Self-Consuming Generative Models Go MAD

Reference 3

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metadata mismatch
arxiv_id, observed 2026-05-10T08:22:37.664566Z

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.

source=pdf_text observed=2026-05-10T08:12:51.161822Z digest=sha256:07167876617cf2b2f7dfabefd3d41abe5fda89e7ccffaed0d2eaf1dea4165547

Observation 0468d462-ffab-4cfc-9399-7885085553e9 · inbound

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

The Impact of AI-Generated Text on the Internet Self-Consuming Generative Models Go MAD

Reference 2

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verified exact
arxiv_id, observed 2026-05-10T14:05:29.693756Z

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.

source=pdf_text observed=2026-05-10T14:01:29.175202Z digest=sha256:8ab664f8d0705a3b86905c914f6bc1c6b1043dbeab2fe5e119e64f0162475d4a

Observation 58fd7d9c-05de-4c3e-9314-5431850d7170 · inbound

Perturbation Dose Responses in Recursive LLM Loops: Raw Switching, Stochastic Floors, and Persistent Escape under Append, Replace, and Dialog Updates cites this paper.

Perturbation Dose Responses in Recursive LLM Loops: Raw Switching, Stochastic Floors, and Persistent Escape under Append, Replace, and Dialog Updates Self-Consuming Generative Models Go MAD

Reference 4

Resolution
verified exact
arxiv_id, observed 2026-05-09T05:55:31.887731Z

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.

source=pdf_text observed=2026-05-08T19:17:06.375875Z digest=sha256:dd06b10775b4c82997272010fac77696e99111c95dfaba9bfc2975c1e695410d

Observation a3ccabd8-ba64-4064-9706-b273f3432c6a · inbound

Alice v1: Distillation-Enhanced Video Generation Surpassing Closed-Source Models cites this paper.

Alice v1: Distillation-Enhanced Video Generation Surpassing Closed-Source Models Self-Consuming Generative Models Go MAD

Reference 19

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arxiv_id, observed 2026-05-12T08:21:24.073958Z

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.

source=arxiv_source observed=2026-05-12T01:14:19.706964Z digest=sha256:edf5295b7374cb7f9b9b99cfe4dc0428840517ea66ab4ad0ac5c91347b7d1278

Observation d7c75ab2-4802-4791-b49a-f8cc7ae8ed0c · inbound

Multi-LLM Systems Exhibit Robust Semantic Collapse cites this paper.

Multi-LLM Systems Exhibit Robust Semantic Collapse Self-Consuming Generative Models Go MAD

Reference 16

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arxiv_id, observed 2026-05-20T13:43:19.185811Z

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.

source=pdf_text observed=2026-05-20T13:41:44.829558Z digest=sha256:e722129e4ecde6b9c13ec4baf70b94138e2adad5f28babef3f0482160d54e263

Observation 0fc42b0d-1086-43f7-8d71-40ea3700e4e7 · inbound

Self-Training Doesn't Flatten Language -- It Restructures It: Surface Markers Amplify While Deep Syntax Dies cites this paper.

Self-Training Doesn't Flatten Language -- It Restructures It: Surface Markers Amplify While Deep Syntax Dies Self-Consuming Generative Models Go MAD

Reference 1

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arxiv_id, observed 2026-05-21T05:49:41.093599Z

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.

source=arxiv_source observed=2026-05-21T05:46:07.176408Z digest=sha256:d42805d580f81bbfa0e9b59bf5f41d705eb8a0325f1da93adb9c6c51a5c50c7b

Observation 26648b63-6317-4ffd-94cb-4d6036f48cec · inbound

Isolating LLM Lexical Bias: A Curation-Free Triangulated Metric for Preference-Stage Learning cites this paper.

Isolating LLM Lexical Bias: A Curation-Free Triangulated Metric for Preference-Stage Learning Self-Consuming Generative Models Go MAD

Reference 28

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verified exact
arxiv_id, observed 2026-07-01T19:46:10.780477Z

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.

source=arxiv_source observed=2026-06-28T22:04:42.187726Z digest=sha256:74d1db02f54ca16778e8425f6d51d4ed1326d352f1c9cdce30b5d0ac863277ab

Observation ce3235c2-3761-4831-8f33-e6eb9d45d73c · inbound

Emotion Profiling in LLM-Based Literary Translation: Systematic Shifts Across MT and Post-Editing cites this paper.

Emotion Profiling in LLM-Based Literary Translation: Systematic Shifts Across MT and Post-Editing Self-Consuming Generative Models Go MAD

Reference 67

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arxiv_id, observed 2026-06-27T16:11:02.570801Z

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.

source=arxiv_source observed=2026-06-27T16:09:08.317910Z digest=sha256:887c2fc252fe69d8b66a5167aee676554e5111224944843ff76c1f8e69c9526b

Observation f912bd16-f35a-4e27-9cbb-478f3b98d4ff · inbound

A Knowledge Theory of Capital:The Value of Natural and Artificial Intelligence, Volume 1 cites this paper.

A Knowledge Theory of Capital:The Value of Natural and Artificial Intelligence, Volume 1 Self-Consuming Generative Models Go MAD

Reference 123

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arxiv_id, observed 2026-07-03T17:18:43.687641Z

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.

source=arxiv_source observed=2026-06-27T04:20:13.571496Z digest=sha256:c0ff99f9ce315e64f9da0c0d0a8dc23d1c0ad1fa80c4cadb1bf6cf312f8e2db2

Observation 9c5614e8-19b5-43bc-85a8-524a6e7613c9 · inbound

A Knowledge Theory of Capital:The Value of Natural and Artificial Intelligence, Volume 1 cites this paper.

A Knowledge Theory of Capital:The Value of Natural and Artificial Intelligence, Volume 1 Self-Consuming Generative Models Go MAD

Reference 124

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arxiv_id, observed 2026-06-30T10:44:36.571589Z

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.

source=arxiv_source observed=2026-06-30T10:39:38.500338Z digest=sha256:a229be2899348c8b33453ab60eed108bc885faf90320e76093f29b6815a7fa76

Observation cfe6384d-3d35-42a3-875d-38b0a7985b70 · inbound

Model Collapse: On Recursion, Noise, and Uncharted Machine Visions cites this paper.

Model Collapse: On Recursion, Noise, and Uncharted Machine Visions Self-Consuming Generative Models Go MAD

Reference 28

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no resolver link, observed 2026-07-14T17:28:50.088754Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T17:28:50.088754Z digest=sha256:b37a20e65941417a1646f9239fe3752367d84df4725a18c5f66a59e8350d5851

Observation 7acc8a5e-7cb7-47d1-a0e6-a80737ac4f6a · inbound

Optimal Self-Distillation for Rectified Flow via Linear Probing cites this paper.

Optimal Self-Distillation for Rectified Flow via Linear Probing Self-Consuming Generative Models Go MAD

Reference 2024

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no resolver link, observed 2026-08-02T00:41:46.567576Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T00:41:46.567576Z digest=sha256:431397f0f23d62b707b53b0f1b8c8e21e75aefedfa394b3801034e2519038462