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Paper Citation Record · LEDGER

MatchDiffusion: Training-free Generation of Match-cuts

As of 14 August 2026, this Paper Citation Record lists 54 of 54 outbound references and 0 inbound Pith citation observations for arXiv:2411.18677.

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

pith.paper-citation-record.v1
2411.18677 v1

Coverage vector

measured 54 of 54 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T11:05:09.832345Z

measured 54 of 54 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

54 of 54 outbound references displayed

  • verified exact1
  • verified fuzzy27
  • unresolved26
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 7c8bbd90-9bd3-4882-b830-7e6443d727fe · outbound

This paper cites What is a match cut?, n.d.

MatchDiffusion: Training-free Generation of Match-cuts What is a match cut?, n.d

Reference 1

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T11:05:09.623835Z digest=sha256:60bfb081aef214303273787a61e50e70eef030e7764f253c7e5fe4236642ebd6

Observation 1cb85305-e0d6-4dfe-aa1f-1a00ac81827e · outbound

This paper cites TALC: Time-Aligned Captions for Multi-Scene Text-to-Video Generation.

MatchDiffusion: Training-free Generation of Match-cuts TALC: Time-Aligned Captions for Multi-Scene Text-to-Video Generation

Reference 2

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source=pdf_text observed=2026-08-12T11:05:09.628625Z digest=sha256:d19a5e0a5f8243c9d4141219434bd49fb88d932305594d33758880fda2bab0e4

Observation 53844a28-1ea9-40e3-81ab-6fa1467c4ec7 · outbound

This paper cites Stable Video Diffusion: Scaling Latent Video Diffusion Models to Large Datasets.

MatchDiffusion: Training-free Generation of Match-cuts Stable Video Diffusion: Scaling Latent Video Diffusion Models to Large Datasets

Reference 3

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Observation 5670fb8c-11c7-4ba0-b809-ffddc12ce3e3 · outbound

This paper cites Align your latents: High-resolution video synthesis with la- tent diffusion models.

MatchDiffusion: Training-free Generation of Match-cuts Align your latents: High-resolution video synthesis with la- tent diffusion models

Reference 4

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Observation cf154841-c4a0-472e-8b5b-c94adb6f2759 · outbound

This paper cites Diffusion illusions: Hiding images in plain sight.

MatchDiffusion: Training-free Generation of Match-cuts Diffusion illusions: Hiding images in plain sight

Reference 5

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T11:05:09.640900Z digest=sha256:b81528e64cd7cda479f37f6ae1f15c20f9e5fc01be925cda8a4715b15e5ecbd7

Observation 5a663ab1-8dae-4b91-ad08-f9833c568a6c · outbound

This paper cites Adaptive Guidance: Training-free Acceleration of Conditional Diffusion Models.

MatchDiffusion: Training-free Generation of Match-cuts Adaptive Guidance: Training-free Acceleration of Conditional Diffusion Models

Reference 6

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source=pdf_text observed=2026-08-12T11:05:09.644529Z digest=sha256:3d14aee9402c74dc19761b52b7b2c3122f12d3d8d9719c137ada6230e944752b

Observation 5f47b191-b634-499d-8b71-222d2a0e17af · outbound

This paper cites Match cutting: Finding cuts with smooth visual transitions.

MatchDiffusion: Training-free Generation of Match-cuts Match cutting: Finding cuts with smooth visual transitions

Reference 7

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No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T11:05:09.648717Z digest=sha256:9db189933bc39ab0146709fb101a43fc9f1e3260d05aedc65950bca377a5fb6a

Observation 5270cac2-31b2-477b-8eb9-105ca92770dd · outbound

This paper cites Medm: Mediating image diffusion models for video- to-video translation with temporal correspondence guidance.

MatchDiffusion: Training-free Generation of Match-cuts Medm: Mediating image diffusion models for video- to-video translation with temporal correspondence guidance

Reference 8

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T11:05:09.652150Z digest=sha256:edc78feff9cd83295eafa8f6934fef1d7a9e6bb5f93391fedef0881f0c2e3c79

Observation 314e0e35-d698-4931-b257-2e2bec5b96af · outbound

This paper cites Dragvideo: Interactive drag-style video editing.

MatchDiffusion: Training-free Generation of Match-cuts Dragvideo: Interactive drag-style video editing

Reference 9

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation 5c6ed182-ce2b-4797-84f1-869b60abe3c2 · outbound

This paper cites Audio match cutting: Finding and creating matching audio transitions in movies and videos.

MatchDiffusion: Training-free Generation of Match-cuts Audio match cutting: Finding and creating matching audio transitions in movies and videos

Reference 10

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation a7e9cede-2bc2-4f16-aae4-3b1103d24541 · outbound

This paper cites Factorized diffusion: Perceptual illusions by noise decomposition.

MatchDiffusion: Training-free Generation of Match-cuts Factorized diffusion: Perceptual illusions by noise decomposition

Reference 11

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation 6736f6bc-60c1-42e8-8e51-dee009b981ca · outbound

This paper cites Visual ana- grams: Generating multi-view optical illusions with diffu- sion models.

MatchDiffusion: Training-free Generation of Match-cuts Visual ana- grams: Generating multi-view optical illusions with diffu- sion models

Reference 12

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T11:05:09.668160Z digest=sha256:59d99ac0724b2cd2ec5e2534ddd26cea04e8b8c1f6fc287618d2b6542ee9c385

Observation 6dfa01be-ae29-46ea-be0d-83efdd9ac169 · outbound

This paper cites Tokenflow: Consistent diffusion features for consistent video editing.

MatchDiffusion: Training-free Generation of Match-cuts Tokenflow: Consistent diffusion features for consistent video editing

Reference 13

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T11:05:09.671990Z digest=sha256:dbf74a87426c694e8febe373494807410c8b9dd5cf8453a23adfa979a08c4483

Observation 8b1f08c1-4969-4d75-b1b9-cb6726529c5d · outbound

This paper cites StreamingT2V: Consistent, Dynamic, and Extendable Long Video Generation from Text.

MatchDiffusion: Training-free Generation of Match-cuts StreamingT2V: Consistent, Dynamic, and Extendable Long Video Generation from Text

Reference 14

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T11:05:09.675688Z digest=sha256:a3c46005c594c83ef2a63b65cf2335ed9d125224c6bc3c99dd02702c22f14c55

Observation 1a017981-0f0f-4d8e-ba03-99ae3e2c25fd · outbound

This paper cites Clipscore: A reference-free evaluation met- ric for image captioning.

MatchDiffusion: Training-free Generation of Match-cuts Clipscore: A reference-free evaluation met- ric for image captioning

Reference 15

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source=pdf_text observed=2026-08-12T11:05:09.679551Z digest=sha256:f37fc6b073180729d9a696c6281408c4595f9b7d64dbc611174f2c07a33c1168

Observation c3ccca16-bda3-40f0-b77a-173bf1d55cff · outbound

This paper cites Denoising diffu- sion probabilistic models.

MatchDiffusion: Training-free Generation of Match-cuts Denoising diffu- sion probabilistic models

Reference 16

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source=pdf_text observed=2026-08-12T11:05:09.683271Z digest=sha256:98572aba5bcbd1ec1f48b1b4309c4d7c9971ea3821bb4a2ac229f0e03c2fcd09

Observation fc01609c-49c4-4d72-afef-60ad28824e3c · outbound

This paper cites CoTracker: It is Better to Track Together.

MatchDiffusion: Training-free Generation of Match-cuts CoTracker: It is Better to Track Together

Reference 17

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source=pdf_text observed=2026-08-12T11:05:09.686794Z digest=sha256:310208f0268f2ad04b9cae64065598b1ef1840acc424a0e49cda222c702ffcbe

Observation 041c8cb5-5948-41b6-92b4-53d03a9b89be · outbound

This paper cites Text2video-zero: Text- to-image diffusion models are zero-shot video generators.

MatchDiffusion: Training-free Generation of Match-cuts Text2video-zero: Text- to-image diffusion models are zero-shot video generators

Reference 18

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source=pdf_text observed=2026-08-12T11:05:09.690657Z digest=sha256:c94da850cff87c7e6474a858c5a1d817b0e57c51b425db5d7850ff1b3b8d00ba

Observation 1cbd84cc-826b-4e77-8380-1eea3ce856e5 · outbound

This paper cites Computational video editing for dialogue-driven scenes.

MatchDiffusion: Training-free Generation of Match-cuts Computational video editing for dialogue-driven scenes

Reference 19

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation ac142f39-6666-4ec2-8aad-65a79b59f395 · outbound

This paper cites Looking Backward: Streaming Video-to-Video Translation with Feature Banks.

MatchDiffusion: Training-free Generation of Match-cuts Looking Backward: Streaming Video-to-Video Translation with Feature Banks

Reference 20

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source=pdf_text observed=2026-08-12T11:05:09.698314Z digest=sha256:df9f037f4548b773578ce467b27e7fa123b8812032d1261ae5cc4b3e24d51ea0

Observation 17148ffe-863c-4b45-822c-79d13efd6e26 · outbound

This paper cites A technique for the measurement of attitudes.

MatchDiffusion: Training-free Generation of Match-cuts A technique for the measurement of attitudes

Reference 21

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Observation 59609b3c-c267-4d92-b4e4-f00806ae451e · outbound

This paper cites VideoDirectorGPT: Consistent Multi-scene Video Generation via LLM-Guided Planning.

MatchDiffusion: Training-free Generation of Match-cuts VideoDirectorGPT: Consistent Multi-scene Video Generation via LLM-Guided Planning

Reference 22

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source=pdf_text observed=2026-08-12T11:05:09.706086Z digest=sha256:d49b7fbcffc7d0f9d04b9a52c9428d594e9f49af7bb54f94e9a26c950254e1f2

Observation 51b1ce3d-9902-47a0-ae11-6b47843155d3 · outbound

This paper cites Common diffusion noise schedules and sample steps are flawed.

MatchDiffusion: Training-free Generation of Match-cuts Common diffusion noise schedules and sample steps are flawed

Reference 23

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No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation 31fed2f9-05b2-41f8-9522-db692ced28d6 · outbound

This paper cites Microsoft coco: Common objects in context.

MatchDiffusion: Training-free Generation of Match-cuts Microsoft coco: Common objects in context

Reference 24

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source=pdf_text observed=2026-08-12T11:05:09.714074Z digest=sha256:838e9dee6497192c546f2daa769355066747be54deec9858c8635c07561c1add

Observation 1235c9e8-c10f-49a1-a351-05bdb0fb5a92 · outbound

This paper cites Physgen: Rigid-body physics-grounded image- to-video generation.

MatchDiffusion: Training-free Generation of Match-cuts Physgen: Rigid-body physics-grounded image- to-video generation

Reference 25

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No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation effdf205-7c43-4184-82f2-04d7093bd5a5 · outbound

This paper cites VideoStudio: Generating Consistent-Content and Multi-Scene Videos.

MatchDiffusion: Training-free Generation of Match-cuts VideoStudio: Generating Consistent-Content and Multi-Scene Videos

Reference 26

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source=pdf_text observed=2026-08-12T11:05:09.722427Z digest=sha256:61acd2070b4fb03e7d77463385b6dd2c5fec4dd2c42de23547aac67183ad26ab

Observation 7944f969-16bd-4e34-af1e-23a3eee509d6 · outbound

This paper cites Snap video: Scaled spatiotemporal transformers for text-to-video synthesis.

MatchDiffusion: Training-free Generation of Match-cuts Snap video: Scaled spatiotemporal transformers for text-to-video synthesis

Reference 27

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source=pdf_text observed=2026-08-12T11:05:09.726443Z digest=sha256:67a722398b8c10cbf17c8af132e2d7e54a0a1c8bcffec4b841bd526828210a8f

Observation 3a615ee1-e52a-4e54-a428-22bf9218c4cc · outbound

This paper cites Sdedit: Guided image synthesis and editing with stochastic differential equa- tions.

MatchDiffusion: Training-free Generation of Match-cuts Sdedit: Guided image synthesis and editing with stochastic differential equa- tions

Reference 28

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T11:05:09.730225Z digest=sha256:4a4e857a94c15677643063f8bf762b8ef7ae9df0f5c10fe9dcd7b0f81b969298

Observation 3e93d14f-cba7-4fb0-801a-fbce733e911f · outbound

This paper cites In the Blink of an Eye.

MatchDiffusion: Training-free Generation of Match-cuts In the Blink of an Eye

Reference 29

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation 32878a99-c477-4bb9-8b24-cdb994244af4 · outbound

This paper cites Conditional image-to-video gener- ation with latent flow diffusion models.

MatchDiffusion: Training-free Generation of Match-cuts Conditional image-to-video gener- ation with latent flow diffusion models

Reference 30

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Observation a31a2a52-6a32-4afd-84b2-9cd0910768dc · outbound

This paper cites How to use match cuts to tell stories, n.d.

MatchDiffusion: Training-free Generation of Match-cuts How to use match cuts to tell stories, n.d

Reference 31

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation a9d7a198-ec53-467d-af6e-9a913f09f19a · outbound

This paper cites Learning to cut by watch- ing movies.

MatchDiffusion: Training-free Generation of Match-cuts Learning to cut by watch- ing movies

Reference 32

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T11:05:09.744497Z digest=sha256:4a2c42616ba7d07dc780ccdba52492a207f78d34b0e7fcb0eb6c096019a59084

Observation efd35951-bd29-421d-b999-ef3ba5dbcde0 · outbound

This paper cites Moviecuts: A new dataset and benchmark for cut type recognition.

MatchDiffusion: Training-free Generation of Match-cuts Moviecuts: A new dataset and benchmark for cut type recognition

Reference 33

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No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T11:05:09.748187Z digest=sha256:ca5cf175c4cf62441cdf8caab0d91d398b3ddb21e2660ba42048ef5d4011ab92

Observation e164a632-6b4c-44e6-b984-d2191baeda9f · outbound

This paper cites AutoMatch: A Large-scale Audio Beat Matching Benchmark for Boosting Deep Learning Assistant Video Editing.

MatchDiffusion: Training-free Generation of Match-cuts AutoMatch: A Large-scale Audio Beat Matching Benchmark for Boosting Deep Learning Assistant Video Editing

Reference 34

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local_arxiv, observed 2026-08-12T11:05:09.958760Z

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No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation cc135978-c893-4b7e-869c-0d6a379af370 · outbound

This paper cites My favourite match cut, n.d.

MatchDiffusion: Training-free Generation of Match-cuts My favourite match cut, n.d

Reference 35

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T11:05:09.756129Z digest=sha256:18ab3816960cc5a6664cb5c4cec8e02314ea20336618afe5a6194dc26b435574

Observation 6ff32419-44a9-4fa8-8115-0c3498def91a · outbound

This paper cites Boosting diffusion models with moving average sampling in frequency domain.

MatchDiffusion: Training-free Generation of Match-cuts Boosting diffusion models with moving average sampling in frequency domain

Reference 36

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T11:05:09.759840Z digest=sha256:1751b950f39905ca21664ab8095af351d1d3fa4cfbf58baa6af09e98bdafbfe9

Observation c699f6f2-6640-416b-9230-0ff9f47d0155 · outbound

This paper cites Contrastive Sequential-Diffusion Learning: Non-linear and Multi-Scene Instructional Video Synthesis.

MatchDiffusion: Training-free Generation of Match-cuts Contrastive Sequential-Diffusion Learning: Non-linear and Multi-Scene Instructional Video Synthesis

Reference 37

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T11:05:09.763400Z digest=sha256:c524529c006b7de9977c449a3ad75ed911a942f99fdb87c166678ea00d262bf0

Observation 4b6448c7-ad51-4ee3-a4dd-872e6a5ab8d3 · outbound

This paper cites Consisti2v: Enhancing visual consistency for image-to-video generation.

MatchDiffusion: Training-free Generation of Match-cuts Consisti2v: Enhancing visual consistency for image-to-video generation

Reference 38

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raw_fallback, observed 2026-08-12T11:05:10.186519Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation 4de08769-a99c-4e31-8a2a-89155bb435e1 · outbound

This paper cites High-resolution image synthesis with latent diffusion models.

MatchDiffusion: Training-free Generation of Match-cuts High-resolution image synthesis with latent diffusion models

Reference 39

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-12T11:05:09.770721Z digest=sha256:6a7a2261262f5ce7d23611bf9db625e46ba7003ac1d732b473c7b57814e7d085

Observation 45ea90e8-9ad8-4a88-a4cf-fbaed0419a1e · outbound

This paper cites High-resolution image syn- thesis with latent diffusion models.

MatchDiffusion: Training-free Generation of Match-cuts High-resolution image syn- thesis with latent diffusion models

Reference 40

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T11:05:09.774546Z digest=sha256:184e2af2458f358eb789c1e091c25e3059e6a5bc5195ec5aa40b5b0cc1738c2b

Observation 91564664-8e96-4059-bac1-dd2e22a677ab · outbound

This paper cites Autotran- sition: Learning to recommend video transition effects.

MatchDiffusion: Training-free Generation of Match-cuts Autotran- sition: Learning to recommend video transition effects

Reference 41

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verified fuzzy
raw_fallback, observed 2026-08-12T11:05:10.160500Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T11:05:09.778133Z digest=sha256:f2e730c4b6a803658e975c3cde99c449de20022b1dadece6a560b28e4b60524a

Observation 927c4d3b-ff4f-40e5-8380-250bf5406dc6 · outbound

This paper cites Denoising Diffusion Implicit Models.

MatchDiffusion: Training-free Generation of Match-cuts Denoising Diffusion Implicit Models

Reference 42

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no resolver link, observed 2026-08-12T11:05:09.781662Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T11:05:09.781662Z digest=sha256:461e60c4e319b32d3c77cd34c5838b7d95c4dd393352bfe33592f80e13a89128

Observation bc727b91-12bf-4e65-ad9c-868e61115f3e · outbound

This paper cites Match cuts: Creative transitions examples, n.d.

MatchDiffusion: Training-free Generation of Match-cuts Match cuts: Creative transitions examples, n.d

Reference 43

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verified fuzzy
raw_fallback, observed 2026-08-12T11:05:10.145946Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T11:05:09.786325Z digest=sha256:9562952206661be0652decdfb39344835ba6837dbcbeeb2030892d40e050e456

Observation cbe3679c-1483-413f-99aa-73abacd4c6b7 · outbound

This paper cites Types of match cuts, examples, and how to use them, n.d.

MatchDiffusion: Training-free Generation of Match-cuts Types of match cuts, examples, and how to use them, n.d

Reference 44

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verified fuzzy
raw_fallback, observed 2026-08-12T11:05:10.132605Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T11:05:09.790466Z digest=sha256:9a6965ec84b69cfbeb62926a02c1cf9d2c75f0055785c2ca76de426abe27d9ab

Observation 577b59cb-b034-4877-954b-7fcd51bb1425 · outbound

This paper cites ModelScope Text-to-Video Technical Report.

MatchDiffusion: Training-free Generation of Match-cuts ModelScope Text-to-Video Technical Report

Reference 45

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T11:05:09.794218Z digest=sha256:c19d6bc10258ff63fb53390d069604889f8d7bd9e02618bfd662880de6da4b92

Observation c66e2d55-330c-42c7-90d2-3c4113fb978e · outbound

This paper cites Image quality assessment: from error visibility to structural similarity.

MatchDiffusion: Training-free Generation of Match-cuts Image quality assessment: from error visibility to structural similarity

Reference 46

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raw_fallback, observed 2026-08-12T11:05:10.119322Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T11:05:09.798184Z digest=sha256:7d8cf4bddf754e3cbe38cd89b0d5699ec78ec82d7583636b87d0fd0d83537956

Observation 42156034-c0ea-4e4d-b112-c52f4cee4fa3 · outbound

This paper cites Video Diffusion Models are Training-free Motion Interpreter and Controller.

MatchDiffusion: Training-free Generation of Match-cuts Video Diffusion Models are Training-free Motion Interpreter and Controller

Reference 47

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no resolver link, observed 2026-08-12T11:05:09.801783Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T11:05:09.801783Z digest=sha256:ca3717d27ff10894ee3fe5ba1ba6c8c36199c8b956ecd453df62f31077141b72

Observation 5d714fac-c052-4830-8f24-fdecd25dc27e · outbound

This paper cites DreamFactory: Pioneering Multi-Scene Long Video Generation with a Multi-Agent Framework.

MatchDiffusion: Training-free Generation of Match-cuts DreamFactory: Pioneering Multi-Scene Long Video Generation with a Multi-Agent Framework

Reference 48

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T11:05:09.806054Z digest=sha256:0f451c35af6a34c9fec0a43f7f127f4efa53cda399efdfecc1eff1d716fb60ae

Observation f358bd0f-8b32-4d96-9e49-d17ec3bb0ca5 · outbound

This paper cites Rerender a video: Zero-shot text-guided video-to-video translation.

MatchDiffusion: Training-free Generation of Match-cuts Rerender a video: Zero-shot text-guided video-to-video translation

Reference 49

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verified fuzzy
raw_fallback, observed 2026-08-12T11:05:10.105507Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T11:05:09.809986Z digest=sha256:686fa2bfcddf34c0238766c2a58069dcebc357821b15fc920c3e178fb1820c1d

Observation 8d20adc3-f50a-4fa9-a23f-e45fec845e8b · outbound

This paper cites CogVideoX: Text-to-Video Diffusion Models with An Expert Transformer.

MatchDiffusion: Training-free Generation of Match-cuts CogVideoX: Text-to-Video Diffusion Models with An Expert Transformer

Reference 50

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no resolver link, observed 2026-08-12T11:05:09.814161Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T11:05:09.814161Z digest=sha256:68bc1bfe98504b106adf7b6f61266421798961c24d4b6bc59bdfa54beed0da3a

Observation 98360e7d-bc23-40ad-b189-67ad0c61e297 · outbound

This paper cites Space-time diffusion features for zero-shot text-driven motion transfer.

MatchDiffusion: Training-free Generation of Match-cuts Space-time diffusion features for zero-shot text-driven motion transfer

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T11:05:10.092517Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T11:05:09.819912Z digest=sha256:1be413a9a5dca1df7d5b95045d2e03cff87ac7b455a95ab974a0704a35ddc5c7

Observation d2f6526f-e1cd-4e5e-87f9-f77c4bfde8c0 · outbound

This paper cites DragNUWA: Fine-grained Control in Video Generation by Integrating Text, Image, and Trajectory.

MatchDiffusion: Training-free Generation of Match-cuts DragNUWA: Fine-grained Control in Video Generation by Integrating Text, Image, and Trajectory

Reference 52

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no resolver link, observed 2026-08-12T11:05:09.823837Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T11:05:09.823837Z digest=sha256:0a3dea4e44fa7d9c096b2163ad86d2cec9a5f74ecd81056d78f39a63f56ce45b

Observation 2ee73fcf-8d43-457c-ac5f-b6a5f7516530 · outbound

This paper cites The unreasonable effectiveness of deep features as a perceptual metric.

MatchDiffusion: Training-free Generation of Match-cuts The unreasonable effectiveness of deep features as a perceptual metric

Reference 53

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T11:05:09.828353Z digest=sha256:9c21a77002fdd57f663a668488a19f5ca63f87fff10547032ebc56162b4949e2

Observation ef36b304-0c85-4b1d-9d7d-e12269632e0d · outbound

This paper cites a bone-like fossil thrown to the sky.

MatchDiffusion: Training-free Generation of Match-cuts a bone-like fossil thrown to the sky

Reference 54

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verified fuzzy
raw_fallback, observed 2026-08-12T11:05:10.073176Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T11:05:09.832345Z digest=sha256:cba88fed160b3bc5eb89e058dc0fcb5dc21535642f475b320926cb9f228fd409

Pith citing papers

No inbound Pith citation observations are available.