Paper Citation Record · LEDGER

An analytic theory of creativity in convolutional diffusion models

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 27 inbound Pith citation observations for arXiv:2412.20292.

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

pith.paper-citation-record.v1
2412.20292 v2

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 2026-08-09T22:31:17.338956Z

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

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

4
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 9d9f4834-2223-4443-9168-885dc41fa3d7 · inbound

Compositional Generalization via Forced Rendering of Disentangled Latents cites this paper.

Compositional Generalization via Forced Rendering of Disentangled Latents An analytic theory of creativity in convolutional diffusion models

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-09T22:31:17.338956Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation be4f4c54-aec5-40c0-b47d-a851605d7c30 · inbound

Density Ratio Estimation with Conditional Probability Paths cites this paper.

Density Ratio Estimation with Conditional Probability Paths An analytic theory of creativity in convolutional diffusion models

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-09T12:44:17.858075Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6e38b28e-3355-4706-8e41-43a02467ccd0 · inbound

Direct Ascent Synthesis: Revealing Hidden Generative Capabilities in Discriminative Models cites this paper.

Direct Ascent Synthesis: Revealing Hidden Generative Capabilities in Discriminative Models An analytic theory of creativity in convolutional diffusion models

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-08T11:44:44.240401Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7cb4090e-7043-41eb-84a0-01d5e43a324c · inbound

An Analytical Theory of Spectral Bias in the Learning Dynamics of Diffusion Models cites this paper.

An Analytical Theory of Spectral Bias in the Learning Dynamics of Diffusion Models An analytic theory of creativity in convolutional diffusion models

Reference 25

Resolution: verified exact; arxiv_id, observed 2026-05-23T01:42:23.074888Z

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.

Observation 346fd06d-57f1-48df-a048-332ef855b60e · inbound

Bigger Isn't Always Memorizing: Early Stopping Overparameterized Diffusion Models cites this paper.

Bigger Isn't Always Memorizing: Early Stopping Overparameterized Diffusion Models An analytic theory of creativity in convolutional diffusion models

Reference 72

Resolution: unresolved; no resolver link, observed 2026-08-07T14:57:51.559529Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 263fe1e0-4dc0-44d6-bbae-5a84bc271634 · inbound

GuessBench: Sensemaking Multimodal Creativity in the Wild cites this paper.

GuessBench: Sensemaking Multimodal Creativity in the Wild An analytic theory of creativity in convolutional diffusion models

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-07T12:01:41.769245Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4950ea7c-ef66-402a-827a-8630bfa62772 · inbound

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

Ambient Diffusion Omni: Training Good Models with Bad Data An analytic theory of creativity in convolutional diffusion models

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-07T05:01:14.266952Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6e9f6f45-ef9c-40aa-a7f9-0836ef89fc88 · inbound

Spooky Action at a Distance: Normalization Layers Enable Side-Channel Spatial Communication cites this paper.

Spooky Action at a Distance: Normalization Layers Enable Side-Channel Spatial Communication An analytic theory of creativity in convolutional diffusion models

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-06T19:46:07.094069Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5bfa087b-a96a-437c-9afb-9866830850d6 · inbound

Local Diffusion Models and Phases of Data Distributions cites this paper.

Local Diffusion Models and Phases of Data Distributions An analytic theory of creativity in convolutional diffusion models

Reference 15

Resolution: verified exact; arxiv_id, observed 2026-05-18T23:36:54.654794Z

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.

Observation f11127d9-15c7-4eed-9100-e172b8e1d893 · inbound

Score-based Membership Inference on Diffusion Models cites this paper.

Score-based Membership Inference on Diffusion Models An analytic theory of creativity in convolutional diffusion models

Reference 19

Resolution: verified exact; arxiv_id, observed 2026-05-18T12:36:22.542646Z

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.

Observation dfd05fc4-9c2f-47f6-91b5-82076471024c · inbound

Emergence of Nonequilibrium Latent Cycles in Unsupervised Generative Modeling cites this paper.

Emergence of Nonequilibrium Latent Cycles in Unsupervised Generative Modeling An analytic theory of creativity in convolutional diffusion models

Reference 23

Resolution: verified exact; arxiv_id, observed 2026-05-16T23:11:20.706342Z

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.

Observation 3a2a5aa5-82a3-409a-b543-7dfe0e034d13 · inbound

Emergence of Nonequilibrium Latent Cycles in Unsupervised Generative Modeling cites this paper.

Emergence of Nonequilibrium Latent Cycles in Unsupervised Generative Modeling An analytic theory of creativity in convolutional diffusion models

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-03T16:56:30.904893Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 37dbc0fb-f760-4a1e-b5b8-c4075851a3cd · inbound

A Random Matrix Theory Perspective on the Consistency of Diffusion Models cites this paper.

A Random Matrix Theory Perspective on the Consistency of Diffusion Models An analytic theory of creativity in convolutional diffusion models

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-03T05:17:22.790370Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0b778e81-69ae-4cc7-a3e8-6de061d3c2a7 · inbound

A Random Matrix Theory Perspective on the Consistency of Diffusion Models cites this paper.

A Random Matrix Theory Perspective on the Consistency of Diffusion Models An analytic theory of creativity in convolutional diffusion models

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-03T05:17:22.711308Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4ecb3e9a-c028-40e6-ac94-f2a69753edf7 · inbound

Momentum Guidance: Plug-and-Play Guidance for Flow Models cites this paper.

Momentum Guidance: Plug-and-Play Guidance for Flow Models An analytic theory of creativity in convolutional diffusion models

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-02T21:26:59.580841Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e968bcad-87f7-4717-80fe-e2f2124da6c6 · inbound

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

Diffusion Models Memorize in Training -- and Generalize in Inference An analytic theory of creativity in convolutional diffusion models

Reference 35

Resolution: verified exact; arxiv_id, observed 2026-05-21T10:54:07.850284Z

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.

Observation 9673363e-e3e8-4371-934d-fac30a2d26f7 · inbound

A Minimal Model of Representation Collapse: Frustration, Stop-Gradient, and Dynamics cites this paper.

A Minimal Model of Representation Collapse: Frustration, Stop-Gradient, and Dynamics An analytic theory of creativity in convolutional diffusion models

Reference 21

Resolution: verified exact; arxiv_id, observed 2026-05-11T08:30:57.489350Z

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.

Observation e8c197ea-3d53-4650-9836-7a0b8ac29e68 · inbound

Generalization in LLM Problem Solving: The Case of the Shortest Path cites this paper.

Generalization in LLM Problem Solving: The Case of the Shortest Path An analytic theory of creativity in convolutional diffusion models

Reference 25

Resolution: metadata mismatch; arxiv_id, observed 2026-05-10T10:39:38.216807Z

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.

Observation 808f2e6a-81e9-4658-a475-b914e444f2ad · inbound

Language Diffusion Models are Associative Memories Capable of Retrieving Unseen Data cites this paper.

Language Diffusion Models are Associative Memories Capable of Retrieving Unseen Data An analytic theory of creativity in convolutional diffusion models

Reference 13

Resolution: verified exact; arxiv_id, observed 2026-05-12T09:11:27.281107Z

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.

Observation e8c71984-eb6f-44cb-a05f-c39d13411e80 · inbound

When Do Diffusion Models learn to Generate Multiple Objects? cites this paper.

When Do Diffusion Models learn to Generate Multiple Objects? An analytic theory of creativity in convolutional diffusion models

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-07-01T08:15:32.086639Z

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.

Observation 3b1a053e-003a-4eff-87e6-330d6b5d7320 · inbound

Concurrence of Symmetry Breaking and Nonlocality Phase Transitions in Diffusion Models cites this paper.

Concurrence of Symmetry Breaking and Nonlocality Phase Transitions in Diffusion Models An analytic theory of creativity in convolutional diffusion models

Reference 14

Resolution: verified exact; arxiv_id, observed 2026-05-11T17:36:04.457825Z

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.

Observation 881a0c71-dd5c-406f-8cb9-232fea7e7c62 · inbound

Flow-Direct: Feedback-Efficient and Reusable Guidance for Flow Models via Non-Parametric Guidance Field cites this paper.

Flow-Direct: Feedback-Efficient and Reusable Guidance for Flow Models via Non-Parametric Guidance Field An analytic theory of creativity in convolutional diffusion models

Reference 22

Resolution: verified exact; arxiv_id, observed 2026-05-20T22:23:47.746855Z

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.

Observation f505f440-273a-4e71-bec4-2924befbf161 · inbound

Mechanisms of Misgeneralization in Physical Sequence Modeling cites this paper.

Mechanisms of Misgeneralization in Physical Sequence Modeling An analytic theory of creativity in convolutional diffusion models

Reference 106

Resolution: verified exact; arxiv_id, observed 2026-05-21T07:44:48.771640Z

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.

Observation 1f8ab69a-3aa0-4d45-b776-bf4d048cf761 · inbound

Training-Free Imitation Learning with Closed-Form Diffusion Policies cites this paper.

Training-Free Imitation Learning with Closed-Form Diffusion Policies An analytic theory of creativity in convolutional diffusion models

Reference 22

Resolution: verified exact; arxiv_id, observed 2026-06-28T17:12:24.904229Z

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.

Observation 653dfbfc-d1f7-4dfe-bb8e-777e2049609a · inbound

Principles and Practice of Deep Representation Learning: or a Mathematical Theory of Memory cites this paper.

Principles and Practice of Deep Representation Learning: or a Mathematical Theory of Memory An analytic theory of creativity in convolutional diffusion models

Reference 48

Resolution: metadata mismatch; arxiv_id, observed 2026-07-02T11:46:55.243902Z

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.

Observation bf495850-7beb-48eb-8089-a07374930434 · inbound

Unsupervised Causal Abstractions Discovery cites this paper.

Unsupervised Causal Abstractions Discovery An analytic theory of creativity in convolutional diffusion models

Reference 36

Resolution: metadata mismatch; arxiv_id, observed 2026-06-26T20:49:57.417203Z

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.

Observation 53a221c2-71ce-4987-a852-4d8da12d1146 · inbound

Toward a mechanistic understanding of inference in visual cortex and diffusion models cites this paper.

Toward a mechanistic understanding of inference in visual cortex and diffusion models An analytic theory of creativity in convolutional diffusion models

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-01T22:40:53.458793Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.