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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:e7b0add0137b4dcfd66fb47eed7c8e29c85421e80635c24ecf4dab1516a90290

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:afea0ad7af2aa1864f7449f18654f86a36ddef1c1d422938d6332bf0577cc23d

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=sha256:6086049d8282f93b23df80bb9ad380642dd0192586b1df7c8ef44a94ebc4cdbe

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:d03d28c1d8c6bdc6f34e8b07b888d94b2e6c48a93420656665d7ad15f9021015

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=sha256:141dd798f93752270b88289ab5d7f3754b772dbdf38252ac971a5fe46c023dea

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=sha256:27a80a38247f17549916e8a0fa11481dad0456f490f828970c2c0183c0d992cc

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:d5b676cd5b66d80a4156d76f049de6a0643e3d8b6541c0c79feaef657ed8a93c

Pith citing papers

No inbound Pith citation observations are available.