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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 10 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 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T22:19:56.679650Z digest=sha256:27cc2a4f9532426e7e7b30b205ed69b0212f8f024816bc42dfa6aa7859db5c6e

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=sha256:19d0365fedd5c8bf2a334b02e4b37804c25026d1a8fa3ffa8d114d23a7cfd575

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T22:19:56.692083Z digest=sha256:d0281c606d3f3702a14a3834ec4ed073de987c135f9e732cc2bd113d84e5827d

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=sha256:922f642b58312a69042c5c1e84e61f904c60ccace9120ad10baec97f1fc46d1f

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T22:19:56.704366Z digest=sha256:822a1967bee71b6ae8c580c081cff1dad043b1b979880327689853740c4b4a02

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T22:19:56.710111Z digest=sha256:db1a5dde50c1a88e17fb75f3c723042cf7821d8ef1936e60666cef77ab134308

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T22:19:56.716913Z digest=sha256:0c32f41bc175e8339cf0c8ed4a11590d3ed904cfc1733d789c91be09a73bdb39

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T22:19:56.722223Z digest=sha256:bb511acb8e3b826c3861a0d6b137b96923094e3dd07854bece36a898428bc3df

Pith citing papers

No inbound Pith citation observations are available.