Pith. sign in

Paper Citation Record · LEDGER

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

As of 18 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 2026-08-18T06:34:40.430872+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=sha256:6ee7aaf4ed247297aff1e7baec09e21b2362c66a2a8400793cdf206792c393e5

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=sha256:9f63c4268b06f6e1d7f3ace895f68da39fbe1976c2912e5edf173f2a797a32b9

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:e8ae1da075d41dc369895bd37578dfa822ea32617be3188242eb6fd76ba2ed56

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=sha256:77b7fe44fc17825494883eb4bd3b4b713371716ca163449e653cc58b209dee6f

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-10T00:59:03.890135Z digest=sha256:ab05cba30e3bd49daf3eeeb07323b4e90a42d6041f890dc5b9450d5744858a52