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Paper Citation Record · LEDGER

Self-Consuming Generative Models Go MAD

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 27 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 27 of 27 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 27 of 27 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T14:54:29.082120Z

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 f182d4af-db88-4a94-8d0c-448e71147b0f · 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 Self-Consuming Generative Models Go MAD

Reference 3

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unresolved
no resolver link, observed 2026-08-09T14:54:29.082120Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T14:54:29.082120Z digest=sha256:dc0c8d644fa73375a6e6c3a72c758c40538603c1cf2d5c364e9b2ef336a88544

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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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=sha256:73b49944546babe97dd8c94a30ace32e0c0b2576d7cbfb97df2770397ca591fd

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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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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-23T01:03:26.037233Z digest=sha256:145442f645e30fc1fe90d2a8705c02e7b56fed042d8dba8d2c0d3bf60e58d47e

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=sha256:9c0138993d0482a8e503fcbf1c0c40bef4d85c5002d4d3be6ba5b249e26caa7f

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-19T11:13:17.446203Z digest=sha256:57b37804f733bfc65d746ec14ede047df787186e2d10ca202080bb03c4c4b945

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=sha256:8aeac0d88b690a4e67b24b98ed36b5d2df9811a56acc88303ed516dc3a7ea2b1

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=sha256:52a366d849b67aafe65aadc07a5e1766dc0b9548e22f1496419a359ff9ee3495

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

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T23:13:11.815134Z digest=sha256:8fd5bc2f871596cb0668049725f295723e3185b3275067551093e98bd6e9bf38

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=sha256:8006ad3b977d7a713e91dee7b5059cb3ea5fd00fc1346de696ddfae9f2bb83c7

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

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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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-05-19T06:43:13.780123Z digest=sha256:0a6ffb55df5b48791355529cdba7ef032bae7c8d1481a12599cb056f492028fe

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=sha256:9cc49fc13a6cde7da4e6c19ffa5a00bc1d7a8264dcffbdc478a59750ca7ec5eb

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

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T05:19:12.507030Z digest=sha256:722aa036874427642035bbda0be324830e8de7615d3e7523fc6cdcf83e96ed2b

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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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=sha256:1bd0200272d0c65e48c1777844c47d8bea42234a0622b2e063bddda8ecd7c791

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

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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

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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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-10T08:12:51.161822Z digest=sha256:c1f710a5d9818de13e9f15c0ed8f9e1dc4bb74ac5098a7e3c09edd4326cf4e81

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-10T14:01:29.175202Z digest=sha256:250f9114231a7ab42df0af85ca373f50718e1f9306a32d6a2a9a6379c1f5b9c4

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

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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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-08T19:17:06.375875Z digest=sha256:b6da2734be47ae92595cbc95d4686957cb5f23aa87b8b8ec2a76a28a06bd2a48

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-05-12T01:14:19.706964Z digest=sha256:22e636fee13efbbd777e2d53c314611758d731d95f0b9beeb9465a164fe9c101

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-20T13:41:44.829558Z digest=sha256:0ee2ef867d4c6647533bd3ab47f8678ffc15dc9f547e5d8dcd2aa7d48d9c5925

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-05-21T05:46:07.176408Z digest=sha256:f73acb54a74f3d2f9c5029ac6d6e3903672d5c0cfccb412a6d47f07bdc9f54e4

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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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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-06-28T22:04:42.187726Z digest=sha256:8e87cf8892994943ca1254f20c9e9f5ac7a5c789b17cf5f826c83cb22fb3e0ea

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-06-27T16:09:08.317910Z digest=sha256:67910ed8d908e33c7e420ed1d369109975726edd301e40bc3dab7606d8d55a37

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-06-27T04:20:13.571496Z digest=sha256:b31e33a1c876d9f239e94a6645d82677feab68d9d335cd2e5b6bdcf4d65d300d

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-06-30T10:39:38.500338Z digest=sha256:44fde78c12ea12334c74f17145e0288de4ac4672c1a8885c2645715d1e2aff94

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:fb2b2d087f64b13962c72feba25809478ca771feba89e3b7c00c3ce722bec4b9

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

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T00:41:46.567576Z digest=sha256:d0f9fef7dd1a0fd2a3ea719ad35e2a6b3b3cec329ca0791a79fa362000933732