Paper Citation Record · LEDGER

Extracting Training Data from Diffusion Models

As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 18 inbound Pith citation observations for arXiv:2301.13188.

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

pith.paper-citation-record.v1
2301.13188 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 18 of 18 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 18 of 18 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T00:52:06.475366Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-29T08:53:16.273989Z

Reference resolution

0 of 0 outbound references displayed

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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 bbfd21fd-58ce-43f5-81d2-129c8d25098c · inbound

CAMEL: Communicative Agents for "Mind" Exploration of Large Language Model Society cites this paper.

CAMEL: Communicative Agents for "Mind" Exploration of Large Language Model Society Extracting Training Data from Diffusion Models

Reference 15

Resolution: verified exact; arxiv_id, observed 2026-05-14T01:40:53.938273Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 4e5e962b-ca36-4e4a-af84-45c299491b35 · inbound

Image Generation Diversity Issues and How to Tame Them cites this paper.

Image Generation Diversity Issues and How to Tame Them Extracting Training Data from Diffusion Models

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-12T13:34:05.673135Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c79e528c-ad28-4790-b5fe-de91f23b41a2 · inbound

Methods to Assess the UK Government's Current Role as a Data Provider for AI cites this paper.

Methods to Assess the UK Government's Current Role as a Data Provider for AI Extracting Training Data from Diffusion Models

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-12T11:02:19.397485Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2ec0c88d-28fb-4774-acca-ae014bc246c2 · inbound

The Pitfalls of "Security by Obscurity" And What They Mean for Transparent AI cites this paper.

The Pitfalls of "Security by Obscurity" And What They Mean for Transparent AI Extracting Training Data from Diffusion Models

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-09T23:22:44.406008Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9c2b28d1-55b2-4abb-a2b3-0ba950d533b6 · inbound

ConceptAttention: Diffusion Transformers Learn Highly Interpretable Features cites this paper.

ConceptAttention: Diffusion Transformers Learn Highly Interpretable Features Extracting Training Data from Diffusion Models

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-08T22:51:30.353679Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bc0b3cb4-21ec-4f87-bf59-374a4b14838a · inbound

A Survey on Progress in LLM Alignment from the Perspective of Reward Design cites this paper.

A Survey on Progress in LLM Alignment from the Perspective of Reward Design Extracting Training Data from Diffusion Models

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-16T00:52:06.475366Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 81ce14af-b5f6-4040-8712-1e8825c82ec6 · inbound

Interpreting Large Text-to-Image Diffusion Models with Dictionary Learning cites this paper.

Interpreting Large Text-to-Image Diffusion Models with Dictionary Learning Extracting Training Data from Diffusion Models

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-07T12:30:03.692540Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 02ddb96a-0426-404f-bda7-fcdd122e0a13 · inbound

How much do language models memorize? cites this paper.

How much do language models memorize? Extracting Training Data from Diffusion Models

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-07T12:35:36.916657Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2af37432-feb2-4ae7-87b0-a26ccfaafb84 · inbound

The Space Complexity of Learning-Unlearning Algorithms cites this paper.

The Space Complexity of Learning-Unlearning Algorithms Extracting Training Data from Diffusion Models

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-07T00:53:44.836085Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8599e8aa-c273-4281-a66d-4d1892b0cef0 · inbound

Low-Perplexity LLM-Generated Sequences and Where To Find Them cites this paper.

Low-Perplexity LLM-Generated Sequences and Where To Find Them Extracting Training Data from Diffusion Models

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-06T20:44:58.456000Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9e345a92-4937-4a4a-8ca8-16e756c3be44 · inbound

Towards 6G Intelligence: The Role of Generative AI in Future Wireless Networks cites this paper.

Towards 6G Intelligence: The Role of Generative AI in Future Wireless Networks Extracting Training Data from Diffusion Models

Reference 106

Resolution: unresolved; no resolver link, observed 2026-08-15T16:54:14.966072Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation af11cc2c-8293-4e03-8836-f1fac746d91b · inbound

On the MIA Vulnerability Gap Between Private GANs and Diffusion Models cites this paper.

On the MIA Vulnerability Gap Between Private GANs and Diffusion Models Extracting Training Data from Diffusion Models

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-15T16:35:03.590078Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0c3c28fc-a746-4e4a-b48b-b9f6466c0c87 · inbound

SPARK: Search Personalization via Agent-Driven Retrieval and Knowledge-sharing cites this paper.

SPARK: Search Personalization via Agent-Driven Retrieval and Knowledge-sharing Extracting Training Data from Diffusion Models

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-03T13:31:08.434387Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ca017b3e-9ba4-4cfb-af55-7ccb1affe1de · inbound

GUDA: Counterfactual Group-wise Training Data Attribution for Diffusion Models via Unlearning cites this paper.

GUDA: Counterfactual Group-wise Training Data Attribution for Diffusion Models via Unlearning Extracting Training Data from Diffusion Models

Reference 2019

Resolution: unresolved; no resolver link, observed 2026-08-03T06:35:42.314394Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 97b0acec-3f3b-481d-b9e1-ef935011e457 · inbound

Benchmark Leakage Trap: Can We Trust LLM-based Recommendation? cites this paper.

Benchmark Leakage Trap: Can We Trust LLM-based Recommendation? Extracting Training Data from Diffusion Models

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-02T23:32:07.748005Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cd70add8-0503-4ce2-9bb6-babab1a4db19 · inbound

Diffusion Models Memorize in Training -- and Generalize in Inference cites this paper.

Diffusion Models Memorize in Training -- and Generalize in Inference Extracting Training Data from Diffusion Models

Reference 10

Resolution: verified exact; arxiv_id, observed 2026-05-21T10:54:07.928206Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 798637e2-6d35-46c0-94b2-1ec651000021 · inbound

Quantum-inspired tensor networks in machine learning models cites this paper.

Quantum-inspired tensor networks in machine learning models Extracting Training Data from Diffusion Models

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-05-10T14:10:29.096813Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation bfc3b5cc-f949-4444-bcd5-a32f76419dfa · inbound

Auditing Training Data in Generative Music Models via Black-Box Membership Inference cites this paper.

Auditing Training Data in Generative Music Models via Black-Box Membership Inference Extracting Training Data from Diffusion Models

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-06-29T08:53:16.275398Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.