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Paper Citation Record · LEDGER

Faster than real-time detection of shot boundaries, sampling structure and dynamic keyframes in video

As of 9 August 2026, this Paper Citation Record lists 8 of 8 outbound references and 0 inbound Pith citation observations for arXiv:2502.09202.

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

pith.paper-citation-record.v1
2502.09202 v1

Coverage vector

measured 8 of 8 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T22:19:56.722223Z

measured 8 of 8 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 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

8 of 8 outbound references displayed

  • verified exact0
  • verified fuzzy6
  • unresolved2
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation cd4aeb7b-f898-452b-ab76-eb08a82ee258 · outbound

This paper cites Walsh hadamard transform kernel -based feature vector for shot boundary detection,.

Faster than real-time detection of shot boundaries, sampling structure and dynamic keyframes in video Walsh hadamard transform kernel -based feature vector for shot boundary detection,

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T22:19:56.887384Z

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=2026-08-07T22:19:56.679650Z digest=sha256:fdeba71490d3619dda4e20c1792d29606c34ee417aeda2a20cf073cecc9124b9

Observation c993018b-955c-41fd-a4db-3db0c9a9d92a · outbound

This paper cites Large-scale, Fast and Accurate Shot Boundary Detection through Spatio-temporal Convolutional Neural Networks.

Faster than real-time detection of shot boundaries, sampling structure and dynamic keyframes in video Large-scale, Fast and Accurate Shot Boundary Detection through Spatio-temporal Convolutional Neural Networks

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-07T22:19:56.685350Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T22:19:56.685350Z digest=sha256:acb69af3a141219ec7c1e02584fa01d7631b72c24925c7d525a38956da814cf0

Observation 0f222c37-08ae-4c40-ad32-c4677086d00d · outbound

This paper cites A Study on Keyframe Extraction Methods for Video Summary.

Faster than real-time detection of shot boundaries, sampling structure and dynamic keyframes in video A Study on Keyframe Extraction Methods for Video Summary

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T22:19:56.868596Z

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=2026-08-07T22:19:56.692083Z digest=sha256:ed3b31a4f9b1d67c490d0ec1f07f9a0e13c6df331894fb7ee2a7586030455e71

Observation 07b54995-1317-4778-b404-0850b4df0e43 · outbound

This paper cites TransNet V2: An effective deep network architecture for fast shot transition detection.

Faster than real-time detection of shot boundaries, sampling structure and dynamic keyframes in video TransNet V2: An effective deep network architecture for fast shot transition detection

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-07T22:19:56.697211Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T22:19:56.697211Z digest=sha256:f6cb4de3abe5011011892cac245a46a2ad9184d00d0becb58db4f8daf1bb9af0

Observation 5376b831-4d2b-4cff-933b-f7260953281d · outbound

This paper cites AutoShot: A Short Video Dataset and State-of-the-Art Shot Boundary Detection.

Faster than real-time detection of shot boundaries, sampling structure and dynamic keyframes in video AutoShot: A Short Video Dataset and State-of-the-Art Shot Boundary Detection

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T22:19:56.851003Z

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=2026-08-07T22:19:56.704366Z digest=sha256:57eb5c64815ac942a384310da30d85eda935779a1df46d3f89b2087e7fa5e28c

Observation c2cb7d51-3ae3-4142-8ff8-e77c1079069a · outbound

This paper cites Detecting interlaced or progressive source of video,.

Faster than real-time detection of shot boundaries, sampling structure and dynamic keyframes in video Detecting interlaced or progressive source of video,

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T22:19:56.834262Z

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=2026-08-07T22:19:56.710111Z digest=sha256:dd7d5b5ae8f90254eb3d89fcade028ee5560487e6580f49a775d7e48a500c255

Observation 0c7b0346-2a9f-4df0-9e97-3c23e841c21c · outbound

This paper cites Detecting Source Video Artifacts with Supervised Sparse Filters.

Faster than real-time detection of shot boundaries, sampling structure and dynamic keyframes in video Detecting Source Video Artifacts with Supervised Sparse Filters

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T22:19:56.818299Z

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=2026-08-07T22:19:56.716913Z digest=sha256:e617cf10abe94e1bfc7961e3a8fb59c183def2b23ea9fdbffc56899ff0efc3a7

Observation b21caa27-07b4-465c-8e86-c0db5e1e4945 · outbound

This paper cites Fast optical flow using dense inverse search,.

Faster than real-time detection of shot boundaries, sampling structure and dynamic keyframes in video Fast optical flow using dense inverse search,

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T22:19:56.801436Z

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=2026-08-07T22:19:56.722223Z digest=sha256:1d3acbe8221162d4d6bb01ee70ebbfc2df8d361f456520323b8e3809231ded90

Pith citing papers

No inbound Pith citation observations are available.