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Paper Citation Record · LEDGER

Generic Event Boundary Detection via Denoising Diffusion

As of 17 August 2026, this Paper Citation Record lists 67 of 67 outbound references and 0 inbound Pith citation observations for arXiv:2508.12084.

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

pith.paper-citation-record.v1
2508.12084 v1

Coverage vector

measured 67 of 67 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T17:29:34.855055Z

measured 67 of 67 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+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

67 of 67 outbound references displayed

  • verified exact0
  • verified fuzzy44
  • unresolved21
  • parse uncertain0
  • malformed identifier2
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 53f3eb6d-2e94-4488-9a81-63f875ec51b1 · outbound

This paper cites Uncertainty-aware antic- ipation of activities.

Generic Event Boundary Detection via Denoising Diffusion Uncertainty-aware antic- ipation of activities

Reference 1

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 71c28449-8cec-4267-88e8-823d2742d9a0 · outbound

This paper cites SegDiff: Image Segmentation with Diffusion Probabilistic Models.

Generic Event Boundary Detection via Denoising Diffusion SegDiff: Image Segmentation with Diffusion Probabilistic Models

Reference 2

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 6e97a817-18d5-48d1-ab7e-aa6827bdba4b · outbound

This paper cites Vivit: A video vision transformer.

Generic Event Boundary Detection via Denoising Diffusion Vivit: A video vision transformer

Reference 3

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Observation 70b8b768-e171-4e8b-8d4c-a581c431bfc7 · outbound

This paper cites The Cramer Distance as a Solution to Biased Wasserstein Gradients.

Generic Event Boundary Detection via Denoising Diffusion The Cramer Distance as a Solution to Biased Wasserstein Gradients

Reference 4

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Source-reported events for the cited work

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Observation 360d6a2a-d643-4e82-a33c-919ed8edde79 · outbound

This paper cites Quo vadis, action recognition? a new model and the kinetics dataset.

Generic Event Boundary Detection via Denoising Diffusion Quo vadis, action recognition? a new model and the kinetics dataset

Reference 5

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no resolver link, observed 2026-08-15T17:29:34.666541Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 0e9f4dd5-0e9d-4229-85cd-f224aa261d8c · outbound

This paper cites Dif- fusiondet: Diffusion model for object detection.

Generic Event Boundary Detection via Denoising Diffusion Dif- fusiondet: Diffusion model for object detection

Reference 6

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verified fuzzy
raw_fallback, observed 2026-08-15T17:29:35.390241Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 55f6363d-76ea-464f-b80a-6afa7bf6eaf1 · outbound

This paper cites ImageNet: a large-scale hierarchical image database.

Generic Event Boundary Detection via Denoising Diffusion ImageNet: a large-scale hierarchical image database

Reference 7

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raw_fallback, observed 2026-08-15T17:29:35.381044Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T17:29:34.672882Z digest=sha256:a2bcf9060f8d7506dac36bef54cc414f560b4192aa46d6fdaaa3ae73e63ca369

Observation 22db94ab-8f83-4ed8-92c1-d646bc884215 · outbound

This paper cites Diffusion models beat gans on image synthesis.

Generic Event Boundary Detection via Denoising Diffusion Diffusion models beat gans on image synthesis

Reference 8

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T17:29:34.676369Z digest=sha256:ecf9a28875762154b20a873be5400ea5f193ecc21654aeb3d52e3782bc7b0cb1

Observation 5aabd962-4dd2-41bb-937d-c9d1d2e2fb83 · outbound

This paper cites Tempo- ral action segmentation: An analysis of modern techniques.

Generic Event Boundary Detection via Denoising Diffusion Tempo- ral action segmentation: An analysis of modern techniques

Reference 9

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raw_fallback, observed 2026-08-15T17:29:35.366295Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation f762febf-5890-49c5-8c53-32de1e0eba28 · outbound

This paper cites Weakly-supervised action seg- mentation with iterative soft boundary assignment.

Generic Event Boundary Detection via Denoising Diffusion Weakly-supervised action seg- mentation with iterative soft boundary assignment

Reference 10

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raw_fallback, observed 2026-08-15T17:29:35.357527Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T17:29:34.681005Z digest=sha256:1f207fc34304123c8c4be0a434c15209e1a4244c8212197742ca5b28cbb4613f

Observation b9cf4ba9-11b4-40ce-a456-e7b48bbd35f2 · outbound

This paper cites Ms-tcn: Multi-stage tem- poral convolutional network for action segmentation.

Generic Event Boundary Detection via Denoising Diffusion Ms-tcn: Multi-stage tem- poral convolutional network for action segmentation

Reference 11

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raw_fallback, observed 2026-08-15T17:29:35.348613Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T17:29:34.684666Z digest=sha256:d553a6b8d6faaae3bf6a6de327e4ed6bb8cb06b6bb24ba88395bad2487f805a6

Observation 0fb55385-4fdd-487a-a105-5fde1aa44e2d · outbound

This paper cites Action detection via an image diffusion process.

Generic Event Boundary Detection via Denoising Diffusion Action detection via an image diffusion process

Reference 12

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation e48697cb-3d62-4d71-abb1-b44a5c664c80 · outbound

This paper cites Deep residual learning for image recognition.

Generic Event Boundary Detection via Denoising Diffusion Deep residual learning for image recognition

Reference 13

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 38ef7067-81cf-4baf-84af-5a6faebbe910 · outbound

This paper cites Deep residual learning for image recognition.

Generic Event Boundary Detection via Denoising Diffusion Deep residual learning for image recognition

Reference 14

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T17:29:34.692946Z digest=sha256:0e030142683cade31612a80fba1e476961612a1a70de44de0f9c1ff9fb6324fd

Observation c088229f-7cce-46cf-9ef3-e2d740555213 · outbound

This paper cites Classifier-free diffusion guidance.

Generic Event Boundary Detection via Denoising Diffusion Classifier-free diffusion guidance

Reference 15

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T17:29:34.696008Z digest=sha256:bcd08eb0a329e9af4b984cc63f93436c122eef820f43f6177172a43a7b63a2ff

Observation ea5d2fff-46e1-4e70-8feb-8278462bcd33 · outbound

This paper cites Denoising dif- fusion probabilistic models.

Generic Event Boundary Detection via Denoising Diffusion Denoising dif- fusion probabilistic models

Reference 16

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no resolver link, observed 2026-08-15T17:29:34.699283Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T17:29:34.699283Z digest=sha256:838b25f533ee3e6ddbfc27366dad23edccb16fef3d4db9b27f3a7bb071acba65

Observation 73f2037b-56a6-40b5-88c3-bf0fb27a579a · outbound

This paper cites Con- nectionist temporal modeling for weakly supervised action labeling.

Generic Event Boundary Detection via Denoising Diffusion Con- nectionist temporal modeling for weakly supervised action labeling

Reference 17

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raw_fallback, observed 2026-08-15T17:29:35.304218Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T17:29:34.702022Z digest=sha256:04776f249540ff788df5856225f878851dfd5655eebe496b2d81ab0e32211a50

Observation 8f66eb7a-dc08-4bab-bd6e-a8fd694d6abb · outbound

This paper cites Equilibrium free-energy differences from nonequilibrium measurements: A master-equation ap- proach.

Generic Event Boundary Detection via Denoising Diffusion Equilibrium free-energy differences from nonequilibrium measurements: A master-equation ap- proach

Reference 18

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raw_fallback, observed 2026-08-15T17:29:35.295606Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T17:29:34.704941Z digest=sha256:29c9f0804d644c7858c98dc7d87678df49404ea83692d992a4d1e4959145e94d

Observation 9aa585bf-5943-44d3-9c6d-c2a81183098c · outbound

This paper cites Coarse-fine net- works for temporal activity detection in videos.

Generic Event Boundary Detection via Denoising Diffusion Coarse-fine net- works for temporal activity detection in videos

Reference 19

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raw_fallback, observed 2026-08-15T17:29:35.286647Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T17:29:34.708282Z digest=sha256:d7b63035a239842dc807bdcea02c4ccef7121a0707497f77ca4029bbd96d0dd2

Observation 7751ed30-02cf-484f-8bb5-cd2bfef93142 · outbound

This paper cites Uboco: Unsupervised boundary contrastive learning for generic event boundary detection.

Generic Event Boundary Detection via Denoising Diffusion Uboco: Unsupervised boundary contrastive learning for generic event boundary detection

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T17:29:35.277213Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T17:29:34.711028Z digest=sha256:1a40227c44b903e51510242a10dc33c8efcb3394cabbbe8536da20612297bd7a

Observation e0e7dcd9-34e7-472e-99f5-c60525b1e122 · outbound

This paper cites The Kinetics Human Action Video Dataset.

Generic Event Boundary Detection via Denoising Diffusion The Kinetics Human Action Video Dataset

Reference 21

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T17:29:34.714573Z digest=sha256:0167b4aba2d4ac898ae978db3bbdf069f28a2d18deb997c16a19cee0f4c896dc

Observation 4b21145b-570c-4801-9402-072ff6dc248a · outbound

This paper cites A probabilistic u-net for segmentation of ambiguous im- ages.

Generic Event Boundary Detection via Denoising Diffusion A probabilistic u-net for segmentation of ambiguous im- ages

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T17:29:35.268728Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T17:29:34.717862Z digest=sha256:6f0063c88a8dcfd8f2df6ddc5f79c2407255ef9fedbb1cf2b47663aeadacb4e1

Observation 86966cb8-dbf6-456b-8102-34ac76ea3789 · outbound

This paper cites Segmental spatiotemporal cnns for fine-grained action seg- mentation.

Generic Event Boundary Detection via Denoising Diffusion Segmental spatiotemporal cnns for fine-grained action seg- mentation

Reference 23

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verified fuzzy
raw_fallback, observed 2026-08-15T17:29:35.259735Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T17:29:34.720855Z digest=sha256:6e7aba02baff1847c66e82ed417f69015ab68a8a09d5dac193c2053cad2ea27f

Observation a7413aee-f723-413e-9d61-b8f56c78bd18 · outbound

This paper cites Structured Context Transformer for Generic Event Boundary Detection.

Generic Event Boundary Detection via Denoising Diffusion Structured Context Transformer for Generic Event Boundary Detection

Reference 24

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T17:29:34.723855Z digest=sha256:74dc8a2a651948ee0a315bc789fdde5a480259557b5303eb6db24f32e6ee6ae0

Observation 358e867d-051c-407f-9e16-28eccfbdc28f · outbound

This paper cites End-to-end compressed video 9 representation learning for generic event boundary detection.

Generic Event Boundary Detection via Denoising Diffusion End-to-end compressed video 9 representation learning for generic event boundary detection

Reference 25

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raw_fallback, observed 2026-08-15T17:29:35.250441Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T17:29:34.727272Z digest=sha256:63f5a114e66d5818f356f9c82dd49917c69a3c32e9fd279a4f41684124c740f1

Observation 9091cbde-5698-4fb7-b015-d89115e5950e · outbound

This paper cites Bmn: Boundary-matching network for temporal action pro- posal generation.

Generic Event Boundary Detection via Denoising Diffusion Bmn: Boundary-matching network for temporal action pro- posal generation

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T17:29:35.239038Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T17:29:34.729964Z digest=sha256:725e86750cdcc37bab2762f2bcc4c0a3e7fc7d6c8fc68aaec1cea363e4992bd9

Observation cfaef705-918c-48ce-91d3-42dadd3323e0 · outbound

This paper cites Flow matching for genera- tive modeling.

Generic Event Boundary Detection via Denoising Diffusion Flow matching for genera- tive modeling

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T17:29:35.229212Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T17:29:34.732243Z digest=sha256:046104af57e5c6b23230fedfbc7389b53a44aec4affbb587bff8fb8ef29a41cd

Observation 8adba70f-d64a-4c3e-b035-404b24dff76e · outbound

This paper cites Diffusion action segmenta- tion.

Generic Event Boundary Detection via Denoising Diffusion Diffusion action segmenta- tion

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T17:29:35.220455Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T17:29:34.735336Z digest=sha256:a6cb97285d10d5a79dd214f299f19013bda1515c272005f3d6e64669d55fbcda

Observation 75aecfcd-8340-47d0-bfe2-5745dd4e250d · outbound

This paper cites Dpm-solver++: Fast solver for guided sam- pling of diffusion probabilistic models.Machine Intelligence Research, pages 1–22, 2025.

Generic Event Boundary Detection via Denoising Diffusion Dpm-solver++: Fast solver for guided sam- pling of diffusion probabilistic models.Machine Intelligence Research, pages 1–22, 2025

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T17:29:35.212156Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T17:29:34.738509Z digest=sha256:a05ac3c67e33294464d220c3492501898dc64a669fea919fe74a9a7187e2f55a

Observation 457d5e51-0af5-4397-af68-7230bc391ed6 · outbound

This paper cites Glide: Towards photorealis- tic image generation and editing with text-guided diffusion models.

Generic Event Boundary Detection via Denoising Diffusion Glide: Towards photorealis- tic image generation and editing with text-guided diffusion models

Reference 30

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no resolver link, observed 2026-08-15T17:29:34.741004Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T17:29:34.741004Z digest=sha256:06821a38c3998347d6ef13e5db62ab0c54a0c0599c03bc7357736d0f09a18581

Observation 5af431a0-1bc8-4195-9727-800a1eb28901 · outbound

This paper cites Film: Visual reasoning with a general conditioning layer.

Generic Event Boundary Detection via Denoising Diffusion Film: Visual reasoning with a general conditioning layer

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T17:29:35.199082Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T17:29:34.744442Z digest=sha256:6964e3594837a01b66a5156069f4dd9e1b3bed3448dc66d160cf1f9100981e3e

Observation 413ea444-5387-4c96-89ea-c8f10863d1bb · outbound

This paper cites Ambiguous medical image segmentation using diffusion models.

Generic Event Boundary Detection via Denoising Diffusion Ambiguous medical image segmentation using diffusion models

Reference 32

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no resolver link, observed 2026-08-15T17:29:34.747264Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T17:29:34.747264Z digest=sha256:1b260c70665100e2a2c5ba49cc0dc4e5b19239d23f01ece8eb0b5eda726e24e8

Observation 1eb993a1-1e06-4cc5-a459-15f70008aed7 · outbound

This paper cites Hierarchical Text-Conditional Image Generation with CLIP Latents.

Generic Event Boundary Detection via Denoising Diffusion Hierarchical Text-Conditional Image Generation with CLIP Latents

Reference 33

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no resolver link, observed 2026-08-15T17:29:34.750524Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T17:29:34.750524Z digest=sha256:a667e349007513fca1cd71a287105cee9e503350760efacbaacda6fd40998925

Observation d307340b-1598-4276-aacb-40fd3869a4cf · outbound

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

Generic Event Boundary Detection via Denoising Diffusion High-resolution image synthesis with latent diffusion models

Reference 34

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no resolver link, observed 2026-08-15T17:29:34.753674Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T17:29:34.753674Z digest=sha256:fcb2b37ec8069c869a0a753ffea8c72c8b31ca736bbe451778d82710dbe3496d

Observation 146b4ebd-c61c-489b-b32a-3459254d8598 · outbound

This paper cites Improving GANs Using Optimal Transport.

Generic Event Boundary Detection via Denoising Diffusion Improving GANs Using Optimal Transport

Reference 35

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no resolver link, observed 2026-08-15T17:29:34.757355Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T17:29:34.757355Z digest=sha256:d6a765b262f6e88df056788c4e9c4d08001354b73336adecea298440d3c99943

Observation 55ce2318-7f7d-4348-8302-47db0b18cd6b · outbound

This paper cites Intra-and inter-action understanding via temporal action parsing.

Generic Event Boundary Detection via Denoising Diffusion Intra-and inter-action understanding via temporal action parsing

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T17:29:35.180812Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T17:29:34.760248Z digest=sha256:5f698e981ca13a323fba2ff2491a510f8b0f3a4b2af271c07d164da7f872bf2a

Observation 789f2420-5cd6-4079-b039-1cadf558b4c4 · outbound

This paper cites Generic event boundary de- tection: A benchmark for event segmentation.

Generic Event Boundary Detection via Denoising Diffusion Generic event boundary de- tection: A benchmark for event segmentation

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T17:29:35.169740Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T17:29:34.762963Z digest=sha256:e98d53fc03aee667f5156d1dbc10c531dde39c65f6465144915b32907b209612

Observation 66b62ef8-5fcf-485d-9ae2-d80e5d838ddb · outbound

This paper cites Deep unsupervised learning using nonequilibrium thermodynamics.

Generic Event Boundary Detection via Denoising Diffusion Deep unsupervised learning using nonequilibrium thermodynamics

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-15T17:29:34.766852Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T17:29:34.766852Z digest=sha256:8b7288fe410557ff8b1732088102573de3e6aef0952767de1d502a667606496c

Observation baceac56-4cb2-40c0-8346-43340e1a9cc9 · outbound

This paper cites Learning structured output representation using deep conditional gen- erative models.

Generic Event Boundary Detection via Denoising Diffusion Learning structured output representation using deep conditional gen- erative models

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T17:29:35.154828Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T17:29:34.770569Z digest=sha256:d9efe93147fc5ce68ea1df3d6c9d7f585575e3f82ff3105b2bcefada8ac8064d

Observation 34ac6350-ff0a-4ae5-ac4e-97e0d2153a09 · outbound

This paper cites Denois- ing diffusion implicit models.

Generic Event Boundary Detection via Denoising Diffusion Denois- ing diffusion implicit models

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-15T17:29:34.772998Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T17:29:34.772998Z digest=sha256:7e75a1a8ca309eff380aae2107276bcaee5ac1f2bf75945951ed89d13aa9f281

Observation 02e19604-9a3c-4a77-87a2-aaebe159784d · outbound

This paper cites Consistency models.

Generic Event Boundary Detection via Denoising Diffusion Consistency models

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T17:29:35.140382Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T17:29:34.775593Z digest=sha256:da1ed5876f323d77947dae9b17d6dfaf4bd043e7c87b122e128a00383adc809c

Observation b00bdaff-47f8-4b42-a685-4a30d26189cf · outbound

This paper cites Sz ´ekely and Maria L.

Generic Event Boundary Detection via Denoising Diffusion Sz ´ekely and Maria L

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T17:29:35.132054Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T17:29:34.779280Z digest=sha256:a88f719f7673f4330df37539dbb9f0304e13b68976c5f7a91a74ade8b19d8e8f

Observation a241fe75-d661-4666-abbd-6d7a8af6cde5 · outbound

This paper cites Temporal perceiver: A general architecture for arbitrary boundary detection.

Generic Event Boundary Detection via Denoising Diffusion Temporal perceiver: A general architecture for arbitrary boundary detection

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T17:29:35.123571Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T17:29:34.782116Z digest=sha256:7ec54816d47e4bb01e4e046b75925c5c5d400532a22da168eab672d771efbbda

Observation 7bbb7551-0599-4181-b93c-b8ce93e188a9 · outbound

This paper cites Progressive attention on multi-level dense difference maps for generic event boundary detection.

Generic Event Boundary Detection via Denoising Diffusion Progressive attention on multi-level dense difference maps for generic event boundary detection

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T17:29:35.114499Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T17:29:34.786269Z digest=sha256:67d5d4dc8cc8c7cf330cbd53fd1079ef4f59aef0a45da66cbf582aa4e225ec93

Observation ceb44fcf-e436-4f1a-bf23-21c6af1d1086 · outbound

This paper cites Learning spatiotemporal features with 3d convolutional networks.

Generic Event Boundary Detection via Denoising Diffusion Learning spatiotemporal features with 3d convolutional networks

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-15T17:29:34.789694Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T17:29:34.789694Z digest=sha256:58d34c6742270a7bf501135236fb7b3a398a27f05da2d707e2c18e9d5d2039e2

Observation 131524ec-d7fc-4256-aa72-acdcd5d2a17d · outbound

This paper cites A closer look at spatiotemporal convolutions for action recognition.

Generic Event Boundary Detection via Denoising Diffusion A closer look at spatiotemporal convolutions for action recognition

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T17:29:35.099895Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T17:29:34.793070Z digest=sha256:f2fabc72474a8908974b38dccaacd2ea15af1de408e82d7289ffeef42c1a02ff

Observation 50854e2f-82fb-4c44-a03c-7a21643e2cc6 · outbound

This paper cites Attention is all you need.

Generic Event Boundary Detection via Denoising Diffusion Attention is all you need

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T17:29:35.091413Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T17:29:34.795847Z digest=sha256:4e7ca03cdc02ca84d31fa38b7ce75e0c560095394f1405904e6947a383464d2a

Observation 772099e8-1c90-4b38-8bcf-833dd3e3822c · outbound

This paper cites Non-local neural networks.

Generic Event Boundary Detection via Denoising Diffusion Non-local neural networks

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T17:29:35.083577Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T17:29:34.798253Z digest=sha256:eb2875c8a549208be61447e50a053e4395516951080f8ec385f287903ce69634

Observation 2ad9c30b-00b6-4a27-b705-8b204eebf507 · outbound

This paper cites Long-term feature banks for detailed video understanding.

Generic Event Boundary Detection via Denoising Diffusion Long-term feature banks for detailed video understanding

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T17:29:35.073795Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T17:29:34.800653Z digest=sha256:86136999e27ccfe546b183f0bdf59895300996111773e349823ac1e5f6200a71

Observation 62cf4e93-2c7d-466d-b47f-d68a70e45c46 · outbound

This paper cites Medsegdiff: Medical image segmentation with diffusion probabilistic model.

Generic Event Boundary Detection via Denoising Diffusion Medsegdiff: Medical image segmentation with diffusion probabilistic model

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T17:29:35.063608Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T17:29:34.803694Z digest=sha256:23a0ccce39a1bfffdff907af1ce10e35262e2a8c325a32d6f2c5359b00cc10fd

Observation 2e2c1009-8590-4951-8b37-e4594634cefc · outbound

This paper cites G-tad: Sub-graph localization for tempo- ral action detection.

Generic Event Boundary Detection via Denoising Diffusion G-tad: Sub-graph localization for tempo- ral action detection

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T17:29:35.054200Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T17:29:34.806493Z digest=sha256:ebdfcebbb7ded9fe5b33c6ebf983c8644b9f577d5ef245e560b986d0d2cfe062

Observation 2664705d-cbad-489b-b8bf-5ec57d805881 · outbound

This paper cites ASFormer: Transformer for Action Segmentation.

Generic Event Boundary Detection via Denoising Diffusion ASFormer: Transformer for Action Segmentation

Reference 52

Resolution
unresolved
no resolver link, observed 2026-08-15T17:29:34.809587Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T17:29:34.809587Z digest=sha256:80014a947338a511569cf7e1f2c0e32ee5c463a886169a390fa23a9665c31dbd

Observation 8b0246ff-a9c7-44b7-b7d2-ab605b16d286 · outbound

This paper cites an unresolved cited work.

Generic Event Boundary Detection via Denoising Diffusion Unresolved cited work

Reference 53

Resolution
unresolved
raw_fallback, observed 2026-08-15T17:29:35.045958Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T17:29:34.813106Z digest=sha256:a1e38ced3ff78a4a251efbfec870ed0def0a490dbff45f48928395f053ec63fb

Observation b6adfc4d-b609-4638-a53d-9730787058f9 · outbound

This paper cites Gated temporal diffusion for stochastic long-term dense anticipation.

Generic Event Boundary Detection via Denoising Diffusion Gated temporal diffusion for stochastic long-term dense anticipation

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T17:29:35.036805Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T17:29:34.816211Z digest=sha256:18bdb3837e13e97421e88853e549af062a7d631b939b737e68ffdf6c86edfd3a

Observation 8c883104-0e35-4114-a923-c96942d2dbb8 · outbound

This paper cites Graph con- volutional networks for temporal action localization.

Generic Event Boundary Detection via Denoising Diffusion Graph con- volutional networks for temporal action localization

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T17:29:35.027768Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T17:29:34.819647Z digest=sha256:ff70af54ed3063cbec94f15c2e6b60cf5a3876c2c01a0b4d1e2d0a6c96ae5aba

Observation 680d6f71-4241-4fa3-a710-b23d01802a5d · outbound

This paper cites Actionformer: Lo- calizing moments of actions with transformers.

Generic Event Boundary Detection via Denoising Diffusion Actionformer: Lo- calizing moments of actions with transformers

Reference 56

Resolution
unresolved
no resolver link, observed 2026-08-15T17:29:34.821942Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T17:29:34.821942Z digest=sha256:24b9e1338e8476bab3e35a2daf84fccad4cb38772f77c0813c84855d40293020

Observation 651a2629-d4ac-4053-8eb9-0ce6743b98f9 · outbound

This paper cites Local compressed video stream learning for generic event boundary detection.

Generic Event Boundary Detection via Denoising Diffusion Local compressed video stream learning for generic event boundary detection

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T17:29:35.015488Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T17:29:34.824468Z digest=sha256:dc7e16bc789b52df4ead8ce1ffeedb39f70bd8a0f4a86beb74cff5f73baaf5be

Observation 4ef56846-12d8-444c-8d03-df8c6876777f · outbound

This paper cites A probabilistic model for controlling diversity and accuracy of ambiguous medical image segmentation.

Generic Event Boundary Detection via Denoising Diffusion A probabilistic model for controlling diversity and accuracy of ambiguous medical image segmentation

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T17:29:35.008037Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T17:29:34.827358Z digest=sha256:add0d9746702f5af2109eefcec6a64fd15688beb69cbbfa1a7ce5d8544f583c8

Observation cf3fcc9a-83b5-4de8-8b21-66961a8cbb9b · outbound

This paper cites Unipc: A unified predictor-corrector framework for fast sampling of diffusion models.

Generic Event Boundary Detection via Denoising Diffusion Unipc: A unified predictor-corrector framework for fast sampling of diffusion models

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T17:29:34.998096Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T17:29:34.830893Z digest=sha256:ba9e22b9ae3e306042847c88ca7f020cdde2c58b96e821f644554259803aadf2

Observation 5a126dbb-4fa0-49c4-901f-d07a1831c98e · outbound

This paper cites Rethinking the architecture design for efficient generic event boundary detection.

Generic Event Boundary Detection via Denoising Diffusion Rethinking the architecture design for efficient generic event boundary detection

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T17:29:34.989816Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T17:29:34.833463Z digest=sha256:439911b7f2ec256f7bfca09f8145875b31dac16fe14f90ceee22648342fae221

Observation 4ce3da6d-5b36-40e2-9b6b-90a5080d1cf9 · outbound

This paper cites Fine-grained dynamic network for generic event boundary detection.

Generic Event Boundary Detection via Denoising Diffusion Fine-grained dynamic network for generic event boundary detection

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T17:29:34.981284Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T17:29:34.836166Z digest=sha256:03a45d0230d16176fba24ea3081a60a0dec42682be8a02a67fdcfb864c8a933c

Observation b07b2bf9-64ed-467c-b012-5cc92b489cca · outbound

This paper cites "" V: video [B, T, H, W, 3] T: diffusion time-step y_0: ground-truth boundary labels [B, L, 1] p: CFG probability.

Generic Event Boundary Detection via Denoising Diffusion "" V: video [B, T, H, W, 3] T: diffusion time-step y_0: ground-truth boundary labels [B, L, 1] p: CFG probability

Reference 62

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T17:29:34.972280Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T17:29:34.839213Z digest=sha256:37c120c3945dec96cf7f9da69de287f0178c88027b21e236bfde27d8375bba60

Observation 2e8a0e2d-3430-477a-8da2-995e7d632537 · outbound

This paper cites 1 and Alg.

Generic Event Boundary Detection via Denoising Diffusion 1 and Alg

Reference 63

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T17:29:34.960875Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T17:29:34.842101Z digest=sha256:6cfcc0051d7b4ecad6004e6e5ebcbd0aff782a6fd26dac1a01c49c3bbcfecd5e

Observation 247e71a5-76b9-488c-b54d-7cd65c579b99 · outbound

This paper cites "" V: video [B, T, H, W, 3] T: diffusion time step steps: the number of inference steps w: classifier-free guidance weight.

Generic Event Boundary Detection via Denoising Diffusion "" V: video [B, T, H, W, 3] T: diffusion time step steps: the number of inference steps w: classifier-free guidance weight

Reference 64

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T17:29:34.952156Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T17:29:34.845673Z digest=sha256:6123029cd58e57840c6999a9ac3674fd503b6eaf7fe2c3a6a610b675e1b34c6d

Observation e2a1ecb4-e5ae-4318-a20e-f8cd3df89f23 · outbound

This paper cites All experiments were conducted on the Kinetics-GEBD dataset.

Generic Event Boundary Detection via Denoising Diffusion All experiments were conducted on the Kinetics-GEBD dataset

Reference 65

Resolution
malformed identifier
raw_fallback, observed 2026-08-15T17:29:34.942980Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T17:29:34.848994Z digest=sha256:fe36c6948406d852589fd94ca4ff25fabfbb9338efcb4b53082169dc9186ab74

Observation d89943c8-dcfa-45f2-8832-8a7294c8733a · outbound

This paper cites The model demonstrates robust detection of boundaries with significant scene changes across all guidance weights.

Generic Event Boundary Detection via Denoising Diffusion The model demonstrates robust detection of boundaries with significant scene changes across all guidance weights

Reference 66

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T17:29:34.934793Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T17:29:34.851533Z digest=sha256:99ccbb9d195967d23895b662c260e79ba1da1ff4e7df701a144b1ac50c8c39df

Observation 12decbb4-af9b-44de-84da-275645f5808a · outbound

This paper cites While our diffusion-based method effectively generates multiple predictions, its iter- ative process significantly slows down inference.

Generic Event Boundary Detection via Denoising Diffusion While our diffusion-based method effectively generates multiple predictions, its iter- ative process significantly slows down inference

Reference 67

Resolution
malformed identifier
raw_fallback, observed 2026-08-15T17:29:34.923450Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T17:29:34.855055Z digest=sha256:392ea6a381d13d8a3a64528562549d7b1c024824bc918b63f50f54e31b27655b

Pith citing papers

No inbound Pith citation observations are available.