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Paper Citation Record · LEDGER

Diffusion Models and Representation Learning: A Survey

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 14 inbound Pith citation observations for arXiv:2407.00783.

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

pith.paper-citation-record.v1
2407.00783 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 14 of 14 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 14 of 14 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T14:10:55.211931Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T16:59:58.150347Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • 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 4e1fef24-4527-46ad-be32-4c25a8f1763a · inbound

Representation Alignment for Generation: Training Diffusion Transformers Is Easier Than You Think cites this paper.

Representation Alignment for Generation: Training Diffusion Transformers Is Easier Than You Think Diffusion Models and Representation Learning: A Survey

Reference 134

Resolution
metadata mismatch
arxiv_id, observed 2026-05-12T15:09:37.111587Z

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=2026-05-12T15:09:36.982610Z digest=sha256:25e5ef48b4b55195f55ca9d403c318f4b97058785a3fd196fc00595b0a98ddba

Observation ade7fd2f-118a-4d8b-a295-b245f66e7678 · inbound

From Image to Video: An Empirical Study of Diffusion Representations cites this paper.

From Image to Video: An Empirical Study of Diffusion Representations Diffusion Models and Representation Learning: A Survey

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-08T14:10:55.211931Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T14:10:55.211931Z digest=sha256:d2ea526ee973c80844d81b83424075683969e5c415d00e2972f314cbd1229391

Observation 6fe28080-2dd0-4b65-a6fc-a286c5e56389 · inbound

SeaLion: Semantic Part-Aware Latent Point Diffusion Models for 3D Generation cites this paper.

SeaLion: Semantic Part-Aware Latent Point Diffusion Models for 3D Generation Diffusion Models and Representation Learning: A Survey

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-07T14:45:43.298029Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:45:43.298029Z digest=sha256:c74e08e66dca3ea9bf78975214b868016022779cda10af807a4dfaa06e8984c9

Observation aa317539-df1e-43d1-b4f8-597efb453b8e · inbound

Unlocking the Power of Diffusion Models in Sequential Recommendation: A Simple and Effective Approach cites this paper.

Unlocking the Power of Diffusion Models in Sequential Recommendation: A Simple and Effective Approach Diffusion Models and Representation Learning: A Survey

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-07T14:16:32.688928Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:16:32.688928Z digest=sha256:465ad2c16433d58d98d3795138070906ff92b4115b5c19638f83b1feef3da85f

Observation 0d733709-b4b8-4a50-8da9-47e6f88a046f · inbound

Diff2Flow: Training Flow Matching Models via Diffusion Model Alignment cites this paper.

Diff2Flow: Training Flow Matching Models via Diffusion Model Alignment Diffusion Models and Representation Learning: A Survey

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-07T11:33:58.810974Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:33:58.810974Z digest=sha256:9c3b96c870819448168e09b4fd4ca23dcfe024db08d404ecfacf2173b9261644

Observation 7ff2653b-fbb8-4951-af81-86fde7f88dc2 · inbound

Guiding Registration with Emergent Similarity from Pre-Trained Diffusion Models cites this paper.

Guiding Registration with Emergent Similarity from Pre-Trained Diffusion Models Diffusion Models and Representation Learning: A Survey

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-07T11:27:23.954699Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:27:23.954699Z digest=sha256:cdb7cf2875b5ed7320da5e92e47b62afea15f99fc292693269d5b3f3d570fb82

Observation ba6e67ae-ce76-4950-b972-71d4fd87648f · inbound

DiffNMR: Diffusion Models for Nuclear Magnetic Resonance Spectra Elucidation cites this paper.

DiffNMR: Diffusion Models for Nuclear Magnetic Resonance Spectra Elucidation Diffusion Models and Representation Learning: A Survey

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-06T19:04:17.462093Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:04:17.462093Z digest=sha256:73a552e5ea9a95c563c86c0633a71b2fd23fd3f2ebb65fb0fae9fd348a4f6de0

Observation c0d2da50-f0c3-420f-bf79-b2d836a60206 · inbound

Contrastive Conditional-Unconditional Alignment for Long-tailed Diffusion Model cites this paper.

Contrastive Conditional-Unconditional Alignment for Long-tailed Diffusion Model Diffusion Models and Representation Learning: A Survey

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-06T18:12:43.664677Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:12:43.664677Z digest=sha256:cdab84cb6004d7d56490c2ca66f494adac1134fac8e3136f99487ade9e2f49c9

Observation 7e86f786-02d8-4d23-a983-12eaad4f8965 · inbound

SCFlow: Implicitly Learning Style and Content Disentanglement with Flow Models cites this paper.

SCFlow: Implicitly Learning Style and Content Disentanglement with Flow Models Diffusion Models and Representation Learning: A Survey

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-06T04:35:07.979603Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T04:35:07.979603Z digest=sha256:2b658281303abe6e0a46ae57388de43d316a54d05718976ca55b2af416be0281

Observation 28b36a95-b780-4627-9f0a-2034b7d23a44 · inbound

Teacher-Feature Drifting: One-Step Diffusion Distillation with Pretrained Diffusion Representations cites this paper.

Teacher-Feature Drifting: One-Step Diffusion Distillation with Pretrained Diffusion Representations Diffusion Models and Representation Learning: A Survey

Reference 3

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T04:25:56.084976Z

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=2026-05-11T01:26:56.460904Z digest=sha256:d3367187d9129aa2bebfa235f4c47a25041b44aae184d8d73b5aa7e87aff463d

Observation d7195946-6401-4716-9e88-7c0b696914ca · inbound

Backbone-Equated Diffusion OOD via Sparse Internal Snapshots cites this paper.

Backbone-Equated Diffusion OOD via Sparse Internal Snapshots Diffusion Models and Representation Learning: A Survey

Reference 34

Resolution
verified exact
arxiv_id, observed 2026-05-13T07:17:28.874599Z

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=2026-05-13T07:15:57.948000Z digest=sha256:087b3641614f26f2816af8eabf76d3fb37a3564a64ae85ba8c48ab056557f430

Observation 61a4eca8-82c2-4fd8-863f-f3f91e6633fa · inbound

Semantic Generative Tuning for Unified Multimodal Models cites this paper.

Semantic Generative Tuning for Unified Multimodal Models Diffusion Models and Representation Learning: A Survey

Reference 17

Resolution
verified exact
arxiv_id, observed 2026-05-20T11:33:14.175205Z

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=2026-05-20T11:32:24.007847Z digest=sha256:48fdda4a69ab18587caec1a55d96ac76b4f77ca54b6b8ddbe5943da8a7436c6e

Observation 6be2cc4f-d226-4388-bd58-8cfb49e136e9 · inbound

Semantic Generative Tuning for Unified Multimodal Models cites this paper.

Semantic Generative Tuning for Unified Multimodal Models Diffusion Models and Representation Learning: A Survey

Reference 17

Resolution
verified exact
arxiv_id, observed 2026-06-30T18:35:00.368536Z

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=2026-06-30T18:31:10.578558Z digest=sha256:d62c26c3c0f1b2daca7a8dafac0b7d0f8809d36c67146e22b6ddd62827b69ddf

Observation 9c9197a5-a8e6-4e2b-b9ec-63438a72d716 · inbound

DiffusionBench: On Holistic Evaluation of Diffusion Transformers cites this paper.

DiffusionBench: On Holistic Evaluation of Diffusion Transformers Diffusion Models and Representation Learning: A Survey

Reference 94

Resolution
verified exact
arxiv_id, observed 2026-07-04T16:59:58.152642Z

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=2026-06-26T00:06:11.951205Z digest=sha256:db914e5c0ca3eb383418886c1a1580536c9a9451bbbd3fbabd3c06400bb50934