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Paper Citation Record · LEDGER

Deep Learning and Hybrid Approaches for Dynamic Scene Analysis, Object Detection and Motion Tracking

As of 13 August 2026, this Paper Citation Record lists 7 of 7 outbound references and 0 inbound Pith citation observations for arXiv:2412.05331.

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

pith.paper-citation-record.v1
2412.05331 v3

Coverage vector

measured 7 of 7 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T21:56:40.257649Z

measured 7 of 7 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+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

7 of 7 outbound references displayed

  • verified exact3
  • verified fuzzy2
  • unresolved2
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 0d300f2e-15d1-4235-98a0-a9e8997a69dc · outbound

This paper cites On the Use of Deep Learning for Video Classification.

Deep Learning and Hybrid Approaches for Dynamic Scene Analysis, Object Detection and Motion Tracking On the Use of Deep Learning for Video Classification

Reference 1

Resolution
verified exact
doi, observed 2026-08-11T21:56:40.387846Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T21:56:40.226693Z digest=sha256:10190984e5877718692a35e69069810a4e7a3e94b5570fc7a27fe7a55ea03af9

Observation a31e5c62-ea95-47aa-b7ae-eea373caf475 · outbound

This paper cites Research on Depression Tendency Detection Based on Image and Text Fusion,.

Deep Learning and Hybrid Approaches for Dynamic Scene Analysis, Object Detection and Motion Tracking Research on Depression Tendency Detection Based on Image and Text Fusion,

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T21:56:40.526461Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T21:56:40.231648Z digest=sha256:195c128d4ef8da7863fdb36527216b0b6cebdc9fde8d221ab8834664f749ce52

Observation 5269ec79-8daf-4d81-a14d-eb8172af64fe · outbound

This paper cites an unresolved cited work.

Deep Learning and Hybrid Approaches for Dynamic Scene Analysis, Object Detection and Motion Tracking Unresolved cited work

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-11T21:56:40.236048Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T21:56:40.236048Z digest=sha256:1afa14814e682672faa992dc1ca8c773d954ca73d94711d64f39f9f296fce60c

Observation f0d3415e-5226-4e61-8e22-5c8cf8eb20cf · outbound

This paper cites E., Zhong, B., & Ouyang, X.

Deep Learning and Hybrid Approaches for Dynamic Scene Analysis, Object Detection and Motion Tracking E., Zhong, B., & Ouyang, X

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T21:56:40.510995Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T21:56:40.241146Z digest=sha256:13826687116142f9b351d2aad2c86b3c9801ac5a9bde0e8a347890b71574b49c

Observation 0f4aa461-6770-4c90-8b3b-c0032beb275d · outbound

This paper cites P., Brandt, A., & Gerl, R.

Deep Learning and Hybrid Approaches for Dynamic Scene Analysis, Object Detection and Motion Tracking P., Brandt, A., & Gerl, R

Reference 5

Resolution
verified exact
doi, observed 2026-08-11T21:56:40.373721Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T21:56:40.245693Z digest=sha256:25200ca5e2278160358285abd73a3edfd9d8dd0af00a58e216c35c5972671b8a

Observation 8d1525d7-65dd-4c05-94d2-d9e1c617fb33 · outbound

This paper cites Optimized IoT Intrusion Detection using Machine Learning Technique.

Deep Learning and Hybrid Approaches for Dynamic Scene Analysis, Object Detection and Motion Tracking Optimized IoT Intrusion Detection using Machine Learning Technique

Reference 7

Resolution
verified exact
local_arxiv, observed 2026-08-11T21:56:40.300378Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T21:56:40.252597Z digest=sha256:ff42a012d62d4c507140f63213c62eca3967a4296ad8e237b5a9ce606a3667ee

Observation e18b6a34-46c7-401a-a32a-4f0e6056c869 · outbound

This paper cites an unresolved cited work.

Deep Learning and Hybrid Approaches for Dynamic Scene Analysis, Object Detection and Motion Tracking Unresolved cited work

Reference 9

Resolution
unresolved
raw_fallback, observed 2026-08-11T21:56:40.489658Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T21:56:40.257649Z digest=sha256:69dbecce09a0ece2e6b7b85bb29a21e5ccf5557981f9ab7ea213c3dcea265660

Pith citing papers

No inbound Pith citation observations are available.