Paper Citation Record · LEDGER

Extracting Training Data from Diffusion Models

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 12 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 12 of 12 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 12 of 12 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T22:51:30.353679Z

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

verified exact0
verified fuzzy0
unresolved0
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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 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 2026-08-08T06:32:00.761636+00:00.

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 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 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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+00:00.