Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
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.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-09T22:31:17.338956Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z
0 of 0 outbound references displayed
External citation measurements
4
arxiv_reference, observed 2026-08-05T02:28:24.338817Z
No outbound reference observations are available for this paper version.
Observation 9d9f4834-2223-4443-9168-885dc41fa3d7 · inbound
Compositional Generalization via Forced Rendering of Disentangled Latents An analytic theory of creativity in convolutional diffusion models
Reference 13
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 An analytic theory of creativity in convolutional diffusion models
Reference 25
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 An analytic theory of creativity in convolutional diffusion models
Reference 24
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 An analytic theory of creativity in convolutional diffusion models
Reference 25
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 346fd06d-57f1-48df-a048-332ef855b60e · inbound
Bigger Isn't Always Memorizing: Early Stopping Overparameterized Diffusion Models An analytic theory of creativity in convolutional diffusion models
Reference 72
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 An analytic theory of creativity in convolutional diffusion models
Reference 31
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 An analytic theory of creativity in convolutional diffusion models
Reference 32
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 An analytic theory of creativity in convolutional diffusion models
Reference 2022
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 An analytic theory of creativity in convolutional diffusion models
Reference 15
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation f11127d9-15c7-4eed-9100-e172b8e1d893 · inbound
Score-based Membership Inference on Diffusion Models An analytic theory of creativity in convolutional diffusion models
Reference 19
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation dfd05fc4-9c2f-47f6-91b5-82076471024c · inbound
Emergence of Nonequilibrium Latent Cycles in Unsupervised Generative Modeling An analytic theory of creativity in convolutional diffusion models
Reference 23
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 3a2a5aa5-82a3-409a-b543-7dfe0e034d13 · inbound
Emergence of Nonequilibrium Latent Cycles in Unsupervised Generative Modeling An analytic theory of creativity in convolutional diffusion models
Reference 23
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 An analytic theory of creativity in convolutional diffusion models
Reference 7
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 An analytic theory of creativity in convolutional diffusion models
Reference 2024
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 An analytic theory of creativity in convolutional diffusion models
Reference 26
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 An analytic theory of creativity in convolutional diffusion models
Reference 35
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 9673363e-e3e8-4371-934d-fac30a2d26f7 · inbound
A Minimal Model of Representation Collapse: Frustration, Stop-Gradient, and Dynamics An analytic theory of creativity in convolutional diffusion models
Reference 21
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation e8c197ea-3d53-4650-9836-7a0b8ac29e68 · inbound
Generalization in LLM Problem Solving: The Case of the Shortest Path An analytic theory of creativity in convolutional diffusion models
Reference 25
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 808f2e6a-81e9-4658-a475-b914e444f2ad · inbound
Language Diffusion Models are Associative Memories Capable of Retrieving Unseen Data An analytic theory of creativity in convolutional diffusion models
Reference 13
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation e8c71984-eb6f-44cb-a05f-c39d13411e80 · inbound
When Do Diffusion Models learn to Generate Multiple Objects? An analytic theory of creativity in convolutional diffusion models
Reference 11
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 3b1a053e-003a-4eff-87e6-330d6b5d7320 · inbound
Concurrence of Symmetry Breaking and Nonlocality Phase Transitions in Diffusion Models An analytic theory of creativity in convolutional diffusion models
Reference 14
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 881a0c71-dd5c-406f-8cb9-232fea7e7c62 · inbound
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
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation f505f440-273a-4e71-bec4-2924befbf161 · inbound
Mechanisms of Misgeneralization in Physical Sequence Modeling An analytic theory of creativity in convolutional diffusion models
Reference 106
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 1f8ab69a-3aa0-4d45-b776-bf4d048cf761 · inbound
Training-Free Imitation Learning with Closed-Form Diffusion Policies An analytic theory of creativity in convolutional diffusion models
Reference 22
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 653dfbfc-d1f7-4dfe-bb8e-777e2049609a · inbound
Principles and Practice of Deep Representation Learning: or a Mathematical Theory of Memory An analytic theory of creativity in convolutional diffusion models
Reference 48
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation bf495850-7beb-48eb-8089-a07374930434 · inbound
Unsupervised Causal Abstractions Discovery An analytic theory of creativity in convolutional diffusion models
Reference 36
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 53a221c2-71ce-4987-a852-4d8da12d1146 · inbound
Toward a mechanistic understanding of inference in visual cortex and diffusion models An analytic theory of creativity in convolutional diffusion models
Reference 49
Source-reported events for the cited work
Unavailable: canonical work link unavailable.