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Paper Citation Record · LEDGER

OmniCLIP: Adapting CLIP for Video Recognition with Spatial-Temporal Omni-Scale Feature Learning

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2408.06158.

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

pith.paper-citation-record.v1
2408.06158 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T10:50:29.811027Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-05-10T00:59:49.453333Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation cb8adf0e-8be9-40d2-becf-9fa385417219 · inbound

Number it: Temporal Grounding Videos like Flipping Manga cites this paper.

Number it: Temporal Grounding Videos like Flipping Manga OmniCLIP: Adapting CLIP for Video Recognition with Spatial-Temporal Omni-Scale Feature Learning

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-12T19:49:43.490402Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T19:49:43.490402Z digest=sha256:2ca18aef2779596185be537c17db8e4eaf9c1e3d767705fc830500d5d95e5e09

Observation 658539e4-61dd-43e3-9f2e-87113b103e8f · inbound

Video Repurposing from User Generated Content: A Large-scale Dataset and Benchmark cites this paper.

Video Repurposing from User Generated Content: A Large-scale Dataset and Benchmark OmniCLIP: Adapting CLIP for Video Recognition with Spatial-Temporal Omni-Scale Feature Learning

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-11T17:33:48.951341Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T17:33:48.951341Z digest=sha256:18a3117fad5cf21616b092fe41c0742d5b00761bb3a7077498ac05640ecb8236

Observation 48abc7b3-dfc1-4b60-8e10-e1338ddd8865 · inbound

Parameter-Efficient Fine-Tuning for Foundation Models cites this paper.

Parameter-Efficient Fine-Tuning for Foundation Models OmniCLIP: Adapting CLIP for Video Recognition with Spatial-Temporal Omni-Scale Feature Learning

Reference 228

Resolution
unresolved
no resolver link, observed 2026-08-10T15:38:03.558101Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T15:38:03.558101Z digest=sha256:55ae58d13010522a5e96c0b2bf52353e6897489495df9300bf43537427b99a59

Observation 73917e7a-15a5-4439-9230-725c43bc659a · inbound

VEU-Bench: Towards Comprehensive Understanding of Video Editing cites this paper.

VEU-Bench: Towards Comprehensive Understanding of Video Editing OmniCLIP: Adapting CLIP for Video Recognition with Spatial-Temporal Omni-Scale Feature Learning

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-16T10:50:29.811027Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T10:50:29.811027Z digest=sha256:71fa981c9a75571a00212b4e240c83f45d2e63ebe719e6b892bbc685e6d25066

Observation 71fb57aa-6d44-4c8d-9788-8519a9642f2b · inbound

Exploring High-Order Self-Similarity for Video Understanding cites this paper.

Exploring High-Order Self-Similarity for Video Understanding OmniCLIP: Adapting CLIP for Video Recognition with Spatial-Temporal Omni-Scale Feature Learning

Reference 49

Resolution
verified exact
arxiv_id, observed 2026-05-10T00:59:49.454588Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-10T00:59:03.890135Z digest=sha256:df3d57492705edce21ddb81634cf0b9c38de96bd384ee1784693a7872f5c5144