Paper Citation Record · LEDGER

FROSTER: Frozen CLIP Is A Strong Teacher for Open-Vocabulary Action Recognition

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2402.03241.

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

pith.paper-citation-record.v1
2402.03241 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 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 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T15:10:37.205352Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-25T05:15:22.350262Z

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 3f204557-a6b5-42f9-aef9-b17c61b1314b · inbound

Advancing Myopia To Holism: Fully Contrastive Language-Image Pre-training cites this paper.

Advancing Myopia To Holism: Fully Contrastive Language-Image Pre-training FROSTER: Frozen CLIP Is A Strong Teacher for Open-Vocabulary Action Recognition

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-12T05:27:14.695747Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2fd7367e-50dd-440f-b25e-24238487b5bc · inbound

Single Domain Generalization for Few-Shot Counting via Universal Representation Matching cites this paper.

Single Domain Generalization for Few-Shot Counting via Universal Representation Matching FROSTER: Frozen CLIP Is A Strong Teacher for Open-Vocabulary Action Recognition

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-07T14:58:55.469221Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0aedb0fc-7021-4f5b-a4c7-f788e217b2cb · inbound

MM-Gesture: Towards Precise Micro-Gesture Recognition through Multimodal Fusion cites this paper.

MM-Gesture: Towards Precise Micro-Gesture Recognition through Multimodal Fusion FROSTER: Frozen CLIP Is A Strong Teacher for Open-Vocabulary Action Recognition

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-06T18:27:06.929578Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2b572db5-e794-4d38-ab53-ae4b1e2c1363 · inbound

Constrained Prompt Enhancement for Improving Zero-Shot Generalization of Vision-Language Models cites this paper.

Constrained Prompt Enhancement for Improving Zero-Shot Generalization of Vision-Language Models FROSTER: Frozen CLIP Is A Strong Teacher for Open-Vocabulary Action Recognition

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-05T16:56:27.685761Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 52112e40-bd47-4002-933c-754a0e26767e · inbound

Spatio-Temporal Similarity Volume Aggregation for Open-Vocabulary Action Recognition cites this paper.

Spatio-Temporal Similarity Volume Aggregation for Open-Vocabulary Action Recognition FROSTER: Frozen CLIP Is A Strong Teacher for Open-Vocabulary Action Recognition

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-05-25T05:15:22.353219Z

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.

Observation 23dadf9d-1f85-45cc-979f-ef34fa95a87a · inbound

SkillShapley: Boundary-Adaptive Shapley Valuation for Skill Step Attribution in LLM Agents cites this paper.

SkillShapley: Boundary-Adaptive Shapley Valuation for Skill Step Attribution in LLM Agents FROSTER: Frozen CLIP Is A Strong Teacher for Open-Vocabulary Action Recognition

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-15T15:10:37.205352Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.