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Paper Citation Record · LEDGER

STAR: Semantic-Temporal Adaptive Representation Learning for Few-Shot Action Recognition

As of 19 August 2026, this Paper Citation Record lists 72 of 72 outbound references and 0 inbound Pith citation observations for arXiv:2605.13202.

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

pith.paper-citation-record.v1
2605.13202 v1

Coverage vector

measured 72 of 72 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-14T20:18:36.505585Z

measured 72 of 72 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+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

72 of 72 outbound references displayed

  • verified exact9
  • verified fuzzy63
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 0b6d32a2-85c4-4037-b240-bea2801acb5f · outbound

This paper cites Tsm: Temporal shift module for efficient video understanding.

STAR: Semantic-Temporal Adaptive Representation Learning for Few-Shot Action Recognition Tsm: Temporal shift module for efficient video understanding

Reference 1

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raw_fallback, observed 2026-05-15T16:20:11.303326Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 782007eb-4b6b-4c04-bb08-988356eaf19f · outbound

This paper cites Learn- ing spatiotemporal features with 3d convolutional networks.

STAR: Semantic-Temporal Adaptive Representation Learning for Few-Shot Action Recognition Learn- ing spatiotemporal features with 3d convolutional networks

Reference 2

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raw_fallback, observed 2026-05-15T16:20:11.278140Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation f7b25136-bc58-4cd7-a4ca-031014bdb9c4 · outbound

This paper cites Quo Vadis, Action Recognition? A New Model and the Kinetics Dataset.

STAR: Semantic-Temporal Adaptive Representation Learning for Few-Shot Action Recognition Quo Vadis, Action Recognition? A New Model and the Kinetics Dataset

Reference 3

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 331199e8-a87f-4fb9-b437-99c234faaa36 · outbound

This paper cites Hu- man action recognition from various data modalities: A review.

STAR: Semantic-Temporal Adaptive Representation Learning for Few-Shot Action Recognition Hu- man action recognition from various data modalities: A review

Reference 4

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raw_fallback, observed 2026-05-15T16:20:11.281088Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-14T20:18:36.505585Z digest=sha256:464be40492eacfb248666d28457361ddf0abc7dd75475b415957e12c265b050f

Observation 8e5b7041-73e5-4a29-ad6f-b38b4a1fd673 · outbound

This paper cites Vivit: A video vision transformer.

STAR: Semantic-Temporal Adaptive Representation Learning for Few-Shot Action Recognition Vivit: A video vision transformer

Reference 5

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raw_fallback, observed 2026-05-15T16:20:11.359774Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation ebed8b66-ecdd-4925-b46b-571dc8301cce · outbound

This paper cites Compound memory networks for few-shot video classification.

STAR: Semantic-Temporal Adaptive Representation Learning for Few-Shot Action Recognition Compound memory networks for few-shot video classification

Reference 6

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raw_fallback, observed 2026-05-15T16:20:11.352214Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 761a614e-df8c-448b-8e52-bd17636705a3 · outbound

This paper cites Few-shot video classification via temporal alignment.

STAR: Semantic-Temporal Adaptive Representation Learning for Few-Shot Action Recognition Few-shot video classification via temporal alignment

Reference 7

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raw_fallback, observed 2026-05-15T16:20:11.243706Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation afe96af2-8f6e-4cfd-babb-b537b198f414 · outbound

This paper cites Hybrid relation guided set matching for few-shot action recognition.

STAR: Semantic-Temporal Adaptive Representation Learning for Few-Shot Action Recognition Hybrid relation guided set matching for few-shot action recognition

Reference 8

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raw_fallback, observed 2026-05-15T16:20:11.333137Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 58fcb094-2893-428e-bcb1-31ab56aad7ba · outbound

This paper cites Prototypical networks for few-shot learning.

STAR: Semantic-Temporal Adaptive Representation Learning for Few-Shot Action Recognition Prototypical networks for few-shot learning

Reference 9

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raw_fallback, observed 2026-05-15T16:20:11.344723Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 6c7cb5c6-719f-427a-a734-11037a9cb683 · outbound

This paper cites Matching compound prototypes for few-shot action recognition.

STAR: Semantic-Temporal Adaptive Representation Learning for Few-Shot Action Recognition Matching compound prototypes for few-shot action recognition

Reference 10

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raw_fallback, observed 2026-05-15T16:20:11.184373Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 2e9eea57-f0a0-4099-97aa-1cd6f66f743d · outbound

This paper cites Tarn: Temporal attentive relation network for few-shot and zero-shot action recognition.

STAR: Semantic-Temporal Adaptive Representation Learning for Few-Shot Action Recognition Tarn: Temporal attentive relation network for few-shot and zero-shot action recognition

Reference 11

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 09921744-438b-4292-afde-c775856cf229 · outbound

This paper cites Temporal Alignment-Free Video Matching for Few-shot Action Recognition.

STAR: Semantic-Temporal Adaptive Representation Learning for Few-Shot Action Recognition Temporal Alignment-Free Video Matching for Few-shot Action Recognition

Reference 12

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arxiv_id, observed 2026-05-14T20:19:27.136951Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation fbc62a75-0cbf-4729-923f-2502cf4773f9 · outbound

This paper cites Learning transferable visual models from natural language supervision.

STAR: Semantic-Temporal Adaptive Representation Learning for Few-Shot Action Recognition Learning transferable visual models from natural language supervision

Reference 13

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raw_fallback, observed 2026-05-15T16:20:11.262032Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation dcc9f72f-d2ab-4572-a6cc-24fc923de8fc · outbound

This paper cites Clip-guided prototype modulating for few-shot action recognition.

STAR: Semantic-Temporal Adaptive Representation Learning for Few-Shot Action Recognition Clip-guided prototype modulating for few-shot action recognition

Reference 14

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verified fuzzy
raw_fallback, observed 2026-05-15T16:20:11.168145Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-14T20:18:36.505585Z digest=sha256:99a1bc67d12529526c02a4ba841b5426d1e40f02fb5054998f2c639ac2c5568d

Observation ba65d287-859d-4063-bf71-e527351288a1 · outbound

This paper cites Temporal-attentive covariance pooling networks for video recognition.

STAR: Semantic-Temporal Adaptive Representation Learning for Few-Shot Action Recognition Temporal-attentive covariance pooling networks for video recognition

Reference 15

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raw_fallback, observed 2026-05-15T16:20:11.336877Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-14T20:18:36.505585Z digest=sha256:6c9b4986ad7e3dcf23ccc5a024829948c61d49e3fa8b522eb764f0463c02e2ea

Observation 7d8570dd-af83-4ad2-b513-c153c93101f6 · outbound

This paper cites Compound prototype matching for few- shot action recognition.

STAR: Semantic-Temporal Adaptive Representation Learning for Few-Shot Action Recognition Compound prototype matching for few- shot action recognition

Reference 16

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raw_fallback, observed 2026-05-15T16:20:11.172878Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 89acf359-8bb3-43c8-ab1f-d09c3917b59b · outbound

This paper cites Slowfocus: Enhancing fine-grained temporal understanding in video llm.

STAR: Semantic-Temporal Adaptive Representation Learning for Few-Shot Action Recognition Slowfocus: Enhancing fine-grained temporal understanding in video llm

Reference 17

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raw_fallback, observed 2026-05-15T16:20:11.341033Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 4ce3e985-305e-40a6-ab2f-475c3a6fc97e · outbound

This paper cites MVP-Shot: Multi-Velocity Progressive-Alignment Framework for Few-Shot Action Recognition.

STAR: Semantic-Temporal Adaptive Representation Learning for Few-Shot Action Recognition MVP-Shot: Multi-Velocity Progressive-Alignment Framework for Few-Shot Action Recognition

Reference 18

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arxiv_id, observed 2026-05-14T20:19:27.125731Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 6524010e-db46-4bac-bc03-b3febc068df2 · outbound

This paper cites Frame Order Matters: A Temporal Sequence-Aware Model for Few-Shot Action Recognition.

STAR: Semantic-Temporal Adaptive Representation Learning for Few-Shot Action Recognition Frame Order Matters: A Temporal Sequence-Aware Model for Few-Shot Action Recognition

Reference 19

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arxiv_id, observed 2026-05-14T20:19:27.119259Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-14T20:18:36.505585Z digest=sha256:4bace6f05fa67e5f91ec660c0c4e5d98eaafdfcbc2c2e0117e35ff385404e2b9

Observation 32451262-59a5-408c-bc2a-afde6c18e583 · outbound

This paper cites Mamba: Linear-time sequence modeling with selective state spaces.

STAR: Semantic-Temporal Adaptive Representation Learning for Few-Shot Action Recognition Mamba: Linear-time sequence modeling with selective state spaces

Reference 20

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raw_fallback, observed 2026-05-15T16:20:11.319294Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-14T20:18:36.505585Z digest=sha256:6aecbe90382aa0ab115813c9b48afbfad3a3358997da0342feaaa6cfa05bb589

Observation 373e4341-fae3-4e14-aefc-424100435b49 · outbound

This paper cites Reallocating and evolving general knowledge for few-shot learning.

STAR: Semantic-Temporal Adaptive Representation Learning for Few-Shot Action Recognition Reallocating and evolving general knowledge for few-shot learning

Reference 21

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raw_fallback, observed 2026-05-15T16:20:11.204161Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-14T20:18:36.505585Z digest=sha256:1bc84816e389aef6bca4928e333d010781632993ae9658601dbb0a80e7f52fbf

Observation b6ea9588-e1bf-42fe-8f6b-ca93a37b4ab7 · outbound

This paper cites Few-shot cross-domain object detection with instance-level prototype-based meta-learning.

STAR: Semantic-Temporal Adaptive Representation Learning for Few-Shot Action Recognition Few-shot cross-domain object detection with instance-level prototype-based meta-learning

Reference 22

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raw_fallback, observed 2026-05-15T16:20:11.238296Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-14T20:18:36.505585Z digest=sha256:7ec241fab8d0584cc5ef4cf3cee870cad3106b4a700596f69768012bbe012c24

Observation 1d7ad3c0-63df-4952-ab69-13968fc32cbb · outbound

This paper cites Matching networks for one shot learning.

STAR: Semantic-Temporal Adaptive Representation Learning for Few-Shot Action Recognition Matching networks for one shot learning

Reference 23

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raw_fallback, observed 2026-05-15T16:20:11.163263Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 887998f9-94b4-4230-9dc0-d167771d430a · outbound

This paper cites Learning to compare: Relation network for few-shot learning.

STAR: Semantic-Temporal Adaptive Representation Learning for Few-Shot Action Recognition Learning to compare: Relation network for few-shot learning

Reference 24

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raw_fallback, observed 2026-05-15T16:20:11.234155Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation f1ca4b44-6fb0-46d1-bffe-6005a2e444f8 · outbound

This paper cites Unify the views: View-consistent prototype learning for few-shot segmentation.

STAR: Semantic-Temporal Adaptive Representation Learning for Few-Shot Action Recognition Unify the views: View-consistent prototype learning for few-shot segmentation

Reference 25

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arxiv_id, observed 2026-05-14T20:19:27.152811Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-14T20:18:36.505585Z digest=sha256:e5284359c3b32926a08f1b4e9c9ead1ad9bfac2feaad66dd20f5cd1557e41527

Observation 9b23aec7-8d19-47b0-a3a3-aaa550cfefbb · outbound

This paper cites Few-shot metric learning: Online adaptation of embedding for retrieval.

STAR: Semantic-Temporal Adaptive Representation Learning for Few-Shot Action Recognition Few-shot metric learning: Online adaptation of embedding for retrieval

Reference 26

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raw_fallback, observed 2026-05-15T16:20:11.329122Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 89137c42-397f-400c-967a-2a921b0b604a · outbound

This paper cites Revisiting few-shot learning from a causal perspective.

STAR: Semantic-Temporal Adaptive Representation Learning for Few-Shot Action Recognition Revisiting few-shot learning from a causal perspective

Reference 27

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raw_fallback, observed 2026-05-15T16:20:11.298278Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-14T20:18:36.505585Z digest=sha256:31d44278dadd4937da01cc70f5d6bc2fcb5811d1ce300c2d639a75980d292ca5

Observation e7692148-cf22-41a6-8a29-d0d15c41123d · outbound

This paper cites Learning attention-guided pyrami- dal features for few-shot fine-grained recognition.

STAR: Semantic-Temporal Adaptive Representation Learning for Few-Shot Action Recognition Learning attention-guided pyrami- dal features for few-shot fine-grained recognition

Reference 28

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raw_fallback, observed 2026-05-15T16:20:11.305565Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation ece0df93-d7e3-4b40-a649-84bb848787ac · outbound

This paper cites Blockmix: meta regularization and self-calibrated inference for metric-based meta-learning.

STAR: Semantic-Temporal Adaptive Representation Learning for Few-Shot Action Recognition Blockmix: meta regularization and self-calibrated inference for metric-based meta-learning

Reference 29

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raw_fallback, observed 2026-05-15T16:20:11.245798Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-14T20:18:36.505585Z digest=sha256:d244f0a7260ffda83c9d6c3e9c16b97d4f3aaa4081277756784d5440e00e9ffb

Observation 57eea820-127f-4b4e-a22e-48c1d5ef19e5 · outbound

This paper cites Model-agnostic meta-learning for fast adaptation of deep networks.

STAR: Semantic-Temporal Adaptive Representation Learning for Few-Shot Action Recognition Model-agnostic meta-learning for fast adaptation of deep networks

Reference 30

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raw_fallback, observed 2026-05-15T16:20:11.348555Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-14T20:18:36.505585Z digest=sha256:c9eb2c05059d324d8aceee215217f1dbc62fe12ddedf6ac5bf26e578e0b2a784

Observation bc7efe1d-2c5d-4ef3-bf9f-edb057c01340 · outbound

This paper cites Meta-exploiting frequency prior for cross-domain few-shot learning.

STAR: Semantic-Temporal Adaptive Representation Learning for Few-Shot Action Recognition Meta-exploiting frequency prior for cross-domain few-shot learning

Reference 31

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raw_fallback, observed 2026-05-15T16:20:11.241977Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 0868a76d-6e2d-4394-944f-9807a590b1c0 · outbound

This paper cites On the stability and generalization of meta- learning.

STAR: Semantic-Temporal Adaptive Representation Learning for Few-Shot Action Recognition On the stability and generalization of meta- learning

Reference 32

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raw_fallback, observed 2026-05-15T16:20:11.186946Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-14T20:18:36.505585Z digest=sha256:a5decad3e805b6528fc9a42f0070421e38e56791f79519ed81ad948158ef7317

Observation 230b5a6f-97d2-4e84-b4cb-e53ed9931559 · outbound

This paper cites Few-shot action recognition via multi-view representation learning.

STAR: Semantic-Temporal Adaptive Representation Learning for Few-Shot Action Recognition Few-shot action recognition via multi-view representation learning

Reference 33

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raw_fallback, observed 2026-05-15T16:20:11.315549Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-14T20:18:36.505585Z digest=sha256:36927dd58ae2dbe2788a12fd3401a533c779be9ed1c947be8dd4845e2ffb3c11

Observation 0b4e7268-b6fc-46ae-8375-497ec6a74929 · outbound

This paper cites Task- adapter: Task-specific adaptation of image models for few-shot action recognition.

STAR: Semantic-Temporal Adaptive Representation Learning for Few-Shot Action Recognition Task- adapter: Task-specific adaptation of image models for few-shot action recognition

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T16:20:11.311508Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-14T20:18:36.505585Z digest=sha256:657ae85bee376faa19fafd3bd017399c26d23f806ffa82093edb29e603af0c09

Observation a4e5a76f-3848-43d3-96a4-c0aababec3a3 · outbound

This paper cites Cross-modal contrastive pre-training for few-shot skeleton action recognition.

STAR: Semantic-Temporal Adaptive Representation Learning for Few-Shot Action Recognition Cross-modal contrastive pre-training for few-shot skeleton action recognition

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T16:20:11.355774Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-14T20:18:36.505585Z digest=sha256:2f71a14ca56c4850401666f0882e96aa05834bed7467711e611d741d44f39685

Observation 23f33515-22cc-40af-8f5b-e3fa280ba7c6 · outbound

This paper cites Dual-recommendation disentanglement network for view fuzz in action recognition.

STAR: Semantic-Temporal Adaptive Representation Learning for Few-Shot Action Recognition Dual-recommendation disentanglement network for view fuzz in action recognition

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T16:20:11.289118Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-14T20:18:36.505585Z digest=sha256:bd44077348f674281be6f4d375aea0f8b0bd7918e9256535c401f1cedb1cc401

Observation 4b12dbd9-4fca-43b6-9893-b16b035a8657 · outbound

This paper cites Motion- consistent representation learning for uav-based action recognition.

STAR: Semantic-Temporal Adaptive Representation Learning for Few-Shot Action Recognition Motion- consistent representation learning for uav-based action recognition

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T16:20:11.265273Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-14T20:18:36.505585Z digest=sha256:d77a33ffc7b1f5f28e9665d5577e5f8a8d9078d99f4d3ca3af3cc46b4c9573d8

Observation 7ff1d615-e4c8-4509-bda7-99b613eb980b · outbound

This paper cites Depth guided adaptive meta-fusion network for few-shot video recognition.

STAR: Semantic-Temporal Adaptive Representation Learning for Few-Shot Action Recognition Depth guided adaptive meta-fusion network for few-shot video recognition

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T16:20:11.274686Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-14T20:18:36.505585Z digest=sha256:27346cde85b4b38c5506d38b3fb6c4e3f5a031866d5ebc1bca0030617b1ff0eb

Observation fa0083f1-3164-4e5c-9616-3cb2a8664b7e · outbound

This paper cites Temporal-relational crosstransformers for few-shot action recognition.

STAR: Semantic-Temporal Adaptive Representation Learning for Few-Shot Action Recognition Temporal-relational crosstransformers for few-shot action recognition

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T16:20:11.225172Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-14T20:18:36.505585Z digest=sha256:b44a31e7ef6c3c9cd610ed92767f7ee17a2fc78e6c633c2e22bc002bc42764e2

Observation 5c0f11ef-3a93-476c-841f-f82e8c659ef5 · outbound

This paper cites Semantic-guided relation propagation network for few-shot action recognition.

STAR: Semantic-Temporal Adaptive Representation Learning for Few-Shot Action Recognition Semantic-guided relation propagation network for few-shot action recognition

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T16:20:11.293430Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-14T20:18:36.505585Z digest=sha256:970dce7cc18c33963720c15924933edc9d1b3e9cea51c90fd21052e1d4fd803b

Observation a0175c96-d8b9-43ec-a20c-a9fe96f6cbce · outbound

This paper cites Molo: Motion-augmented long-short contrastive learning for few-shot action recognition.

STAR: Semantic-Temporal Adaptive Representation Learning for Few-Shot Action Recognition Molo: Motion-augmented long-short contrastive learning for few-shot action recognition

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T16:20:11.147180Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-14T20:18:36.505585Z digest=sha256:796e8aecbb3851cae50c8815bba01611e66fd237105316dbd639e909257e2418

Observation caf83686-fe8d-43c5-8c8b-24e670375e2e · outbound

This paper cites M3net: multi- view encoding, matching, and fusion for few-shot fine-grained action recognition.

STAR: Semantic-Temporal Adaptive Representation Learning for Few-Shot Action Recognition M3net: multi- view encoding, matching, and fusion for few-shot fine-grained action recognition

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T16:20:11.247923Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-14T20:18:36.505585Z digest=sha256:a08939a6391ae061d1de8f29bf3002691e56e8e3427c3596cae838259095fce7

Observation 4d19e786-b05b-473e-8cbb-5549d8339ed7 · outbound

This paper cites Hierarchy- aware interactive prompt learning for few-shot classification.

STAR: Semantic-Temporal Adaptive Representation Learning for Few-Shot Action Recognition Hierarchy- aware interactive prompt learning for few-shot classification

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T16:20:11.226091Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-14T20:18:36.505585Z digest=sha256:6a312ac659b39626c9e70fc8382c4e2f1334266758a231214fe8804d9a75f3db

Observation 54650c7a-381f-4801-bfc7-33e0ed5edd0a · outbound

This paper cites Rethinking few-shot adaptation of vision-language models in two stages.

STAR: Semantic-Temporal Adaptive Representation Learning for Few-Shot Action Recognition Rethinking few-shot adaptation of vision-language models in two stages

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T16:20:11.212305Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-14T20:18:36.505585Z digest=sha256:a10c38af1fc6e83e09f28033c3f1d4843ac96731e3d52f29fbd50b7af6369afe

Observation 70e3e589-39b3-4635-bcb2-076be85b088c · outbound

This paper cites Connecting giants: synergistic knowledge transfer of large multimodal models for few-shot learning.

STAR: Semantic-Temporal Adaptive Representation Learning for Few-Shot Action Recognition Connecting giants: synergistic knowledge transfer of large multimodal models for few-shot learning

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T16:20:11.087132Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-14T20:18:36.505585Z digest=sha256:7c74571722e2351329a23d693f39f49923f8da713884dd91c59cfbbb6feb70d8

Observation c079151f-f955-4019-88ab-3730fc8a5f3f · outbound

This paper cites Cross-modal proxy evolving for ood detection with vision-language models.

STAR: Semantic-Temporal Adaptive Representation Learning for Few-Shot Action Recognition Cross-modal proxy evolving for ood detection with vision-language models

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T16:20:11.277559Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-14T20:18:36.505585Z digest=sha256:b6c3c2e5ee6236d0b34ec0adcfc4495165caf6d35adff6ddb7d866b87b26467a

Observation a4d50fec-8700-4d08-b41b-ae8aa10316e2 · outbound

This paper cites Multi-speed global contextual subspace matching for few-shot action recognition.

STAR: Semantic-Temporal Adaptive Representation Learning for Few-Shot Action Recognition Multi-speed global contextual subspace matching for few-shot action recognition

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T16:20:11.188482Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-14T20:18:36.505585Z digest=sha256:18a9e57a5dff178c13d6987eedce6cabecd2c1921059ace48e790aaf5802c6fa

Observation 6dbafe78-c9fd-49dd-9782-df38f97ac4e8 · outbound

This paper cites On the importance of spatial relations for few-shot action recognition.

STAR: Semantic-Temporal Adaptive Representation Learning for Few-Shot Action Recognition On the importance of spatial relations for few-shot action recognition

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T16:20:11.179853Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-14T20:18:36.505585Z digest=sha256:c8ca95e57c8744457335b5df5ce38967e340a3167d6f815581a337b6f1f799c3

Observation 48e84e90-c246-4e0b-9833-60c20e7abf2a · outbound

This paper cites Combining recurrent, convolutional, and continuous-time models with linear state space layers.

STAR: Semantic-Temporal Adaptive Representation Learning for Few-Shot Action Recognition Combining recurrent, convolutional, and continuous-time models with linear state space layers

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T16:20:11.260155Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-14T20:18:36.505585Z digest=sha256:a81f6ffa2b308bc0897bbaf9f6a4e8c5300037578e8bd26df4b96a04540f2fd6

Observation 114569dc-e8e8-41bd-b9b3-11957465b684 · outbound

This paper cites Efficiently modeling long sequences with structured state spaces.

STAR: Semantic-Temporal Adaptive Representation Learning for Few-Shot Action Recognition Efficiently modeling long sequences with structured state spaces

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T16:20:11.164642Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-14T20:18:36.505585Z digest=sha256:95685576165d3b9e888621ee1e9e9af816f040eb8e951e04a58ed15b781db86d

Observation b902d8bb-0a9c-4569-a53f-6e4652920b7b · outbound

This paper cites Selective structured state-spaces for long-form video understanding.

STAR: Semantic-Temporal Adaptive Representation Learning for Few-Shot Action Recognition Selective structured state-spaces for long-form video understanding

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T16:20:11.123096Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-14T20:18:36.505585Z digest=sha256:95126b976a2979aaf2f5000f8c80a7ea4c2df72b7d20134882682b78419b195d

Observation 29c7e9a8-8f41-4f5c-8496-94277c5a80b7 · outbound

This paper cites Transformers are ssms: generalized models and effi- cient algorithms through structured state space duality.

STAR: Semantic-Temporal Adaptive Representation Learning for Few-Shot Action Recognition Transformers are ssms: generalized models and effi- cient algorithms through structured state space duality

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T16:20:11.255976Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-14T20:18:36.505585Z digest=sha256:0052ff8622cd8e25d74e0592ca4bfc2dad055d58591dc291fc8c54f124b08475

Observation c4547f4c-e083-4667-89ee-39cf4bffa28e · outbound

This paper cites Attention is all you need.

STAR: Semantic-Temporal Adaptive Representation Learning for Few-Shot Action Recognition Attention is all you need

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T16:20:11.323223Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-14T20:18:36.505585Z digest=sha256:dd1d0577f1a8563a66f5548ed531493495eaee4d77c5ff2d39231fa5b14c5e1c

Observation daddd1c3-64fe-41ab-9fc0-1f5ee364d0ad · outbound

This paper cites MambaOut: Do We Really Need Mamba for Vision?.

STAR: Semantic-Temporal Adaptive Representation Learning for Few-Shot Action Recognition MambaOut: Do We Really Need Mamba for Vision?

Reference 54

Resolution
verified exact
arxiv_id, observed 2026-05-14T20:19:27.159180Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-14T20:18:36.505585Z digest=sha256:e5134a1adb7fca6b3d14e18800b59526f7bd8112f894694d13f62c146969b8b5

Observation cd2626b7-c242-4317-a605-696724fe7384 · outbound

This paper cites Vision mamba: efficient visual representation learning with bidirectional state space model.

STAR: Semantic-Temporal Adaptive Representation Learning for Few-Shot Action Recognition Vision mamba: efficient visual representation learning with bidirectional state space model

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T16:20:11.285041Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-14T20:18:36.505585Z digest=sha256:6deb49c8d9546e192a400d588113c2438cec203168ff5347798334363384da12

Observation c66d5898-699d-4329-a109-71e8cb2e83fd · outbound

This paper cites Vmamba: Visual state space model.

STAR: Semantic-Temporal Adaptive Representation Learning for Few-Shot Action Recognition Vmamba: Visual state space model

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T16:20:11.273858Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-14T20:18:36.505585Z digest=sha256:17f2109b394b8379111abb361bd2cf968da5ec1204e3b11f4de080177199f71f

Observation 59f19647-8228-41ac-aa98-bcc3e4c96d16 · outbound

This paper cites Videomamba: State space model for efficient video understanding.

STAR: Semantic-Temporal Adaptive Representation Learning for Few-Shot Action Recognition Videomamba: State space model for efficient video understanding

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T16:20:11.203509Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-14T20:18:36.505585Z digest=sha256:8c077f2ff249bd580449d3c6030f6dba4d750477cbb0407cb09fa9c48e319f6d

Observation 721f2129-a002-4ce6-9f81-7fc2e4b0d3d9 · outbound

This paper cites Mamba-adaptor: State space model adaptor for visual recognition.

STAR: Semantic-Temporal Adaptive Representation Learning for Few-Shot Action Recognition Mamba-adaptor: State space model adaptor for visual recognition

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T16:20:11.169868Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-14T20:18:36.505585Z digest=sha256:42498e9eb100291b8bf9a1b03dc42ba099facdc3e9156c4f8ca0f79c3681e97c

Observation 9e7d851c-51fa-4cd1-aa9a-60f07ca22f41 · outbound

This paper cites Mambavision: A hybrid mamba- transformer vision backbone.

STAR: Semantic-Temporal Adaptive Representation Learning for Few-Shot Action Recognition Mambavision: A hybrid mamba- transformer vision backbone

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T16:20:11.301270Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-14T20:18:36.505585Z digest=sha256:46dbfd4529347e35d5722a20f72f1dc45c2630379108d99501749af3e28d55b4

Observation 9bdcd0c0-8d48-488d-a77e-cf0714f0b5d4 · outbound

This paper cites Groupmamba: Efficient group-based visual state space model.

STAR: Semantic-Temporal Adaptive Representation Learning for Few-Shot Action Recognition Groupmamba: Efficient group-based visual state space model

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T16:20:11.096750Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-14T20:18:36.505585Z digest=sha256:1fbf9a8f2a435b245235d8ba6c7d03f72359342711eae5542a27b3e3fb5669ba

Observation ff8bfbb5-1e0f-42a0-ac7d-edb455160a50 · outbound

This paper cites Spatial channel attention for deep convolutional neural networks.

STAR: Semantic-Temporal Adaptive Representation Learning for Few-Shot Action Recognition Spatial channel attention for deep convolutional neural networks

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T16:20:11.137391Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-14T20:18:36.505585Z digest=sha256:be1a87f7678e976f01377f2741eee91fdce63d9d46416a1baded1abbb2546308

Observation 7bd6c389-e1bf-4437-975f-f2f50859b642 · outbound

This paper cites Hmdb: A large video database for human motion recognition.

STAR: Semantic-Temporal Adaptive Representation Learning for Few-Shot Action Recognition Hmdb: A large video database for human motion recognition

Reference 62

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T16:20:11.239936Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-14T20:18:36.505585Z digest=sha256:0c7ba9b9ffc35a2e218e66c1d15a26f0721e531ce74a7d7d824372a91521ee48

Observation 919afd40-6f69-4606-8c1c-824a6f949167 · outbound

This paper cites UCF101: A Dataset of 101 Human Actions Classes From Videos in The Wild.

STAR: Semantic-Temporal Adaptive Representation Learning for Few-Shot Action Recognition UCF101: A Dataset of 101 Human Actions Classes From Videos in The Wild

Reference 63

Resolution
verified exact
local_arxiv, observed 2026-05-14T20:19:27.147154Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-14T20:18:36.505585Z digest=sha256:bac8b1c99fc7b399896e2700797439ac1a3fe386c7f82ac2bdc978e21f009bf7

Observation c1760e3a-912f-406b-80bf-41500d810923 · outbound

This paper cites Quo Vadis, Action Recognition? A New Model and the Kinetics Dataset.

STAR: Semantic-Temporal Adaptive Representation Learning for Few-Shot Action Recognition Quo Vadis, Action Recognition? A New Model and the Kinetics Dataset

Reference 64

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T16:20:11.221621Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-14T20:18:36.505585Z digest=sha256:851fbe5cca895f0bc44b666101c9ed17f96f866ceddb7367ce14280a4f15596d

Observation d0518614-8494-4e7f-b0fe-cd65d5765862 · outbound

This paper cites The” something something.

STAR: Semantic-Temporal Adaptive Representation Learning for Few-Shot Action Recognition The” something something

Reference 65

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T16:20:11.251492Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-14T20:18:36.505585Z digest=sha256:4e41dc3d166107d457c9baaa503ab1a2eb540cc11c8ce3e57787496a2cc62802

Observation 3718b6fd-a7d2-4918-8504-3d7ec66fa8b1 · outbound

This paper cites Few-shot action recognition with permutation-invariant attention.

STAR: Semantic-Temporal Adaptive Representation Learning for Few-Shot Action Recognition Few-shot action recognition with permutation-invariant attention

Reference 66

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T16:20:11.208027Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-14T20:18:36.505585Z digest=sha256:600934428dc474ca7d8bf71a21d6f6a57920ead6c90747591fe99de711f2d790

Observation 243ebf9f-d5bf-4b7f-8971-829d91cdf1b4 · outbound

This paper cites Deep residual learning for image recognition.

STAR: Semantic-Temporal Adaptive Representation Learning for Few-Shot Action Recognition Deep residual learning for image recognition

Reference 67

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T16:20:11.193275Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-14T20:18:36.505585Z digest=sha256:f7537ea47d25f676ca5a887f35952461453e55ce756289890a9ff73886b07427

Observation 107dd68d-9709-4770-9358-c475846c7fd3 · outbound

This paper cites An image is worth 16x16 words: Trans- formers for image recognition at scale.

STAR: Semantic-Temporal Adaptive Representation Learning for Few-Shot Action Recognition An image is worth 16x16 words: Trans- formers for image recognition at scale

Reference 68

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T16:20:11.235564Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-14T20:18:36.505585Z digest=sha256:566921cf9cc7e4ca60ec412e31e7cd5e9dfdc263957125387008d0c8bf891261

Observation 4b887a33-0557-4379-9e9d-c6b6c3e6a3cf · outbound

This paper cites GPT-4 Technical Report.

STAR: Semantic-Temporal Adaptive Representation Learning for Few-Shot Action Recognition GPT-4 Technical Report

Reference 69

Resolution
verified exact
local_arxiv, observed 2026-05-14T20:19:27.142122Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-14T20:18:36.505585Z digest=sha256:071bbe1c907463eabfb3b47117822f5fd7b464fba06e922d0cd0d4da90a6567a

Observation e7b9e1fd-59b8-40b4-add0-997b4e04a273 · outbound

This paper cites Adam: A Method for Stochastic Optimization.

STAR: Semantic-Temporal Adaptive Representation Learning for Few-Shot Action Recognition Adam: A Method for Stochastic Optimization

Reference 70

Resolution
verified exact
local_arxiv, observed 2026-05-14T20:19:27.164305Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-14T20:18:36.505585Z digest=sha256:163d0cf3c82cc3cb1720e34165c46a45f8b8e38338fba2ab1dd2637b4079a6c7

Observation 8cd6d79c-edb5-49e6-b352-f1f2b4d34457 · outbound

This paper cites Hello gpt-4o.

STAR: Semantic-Temporal Adaptive Representation Learning for Few-Shot Action Recognition Hello gpt-4o

Reference 71

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T16:20:11.297302Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-14T20:18:36.505585Z digest=sha256:a0c8494e9bc2c5e952b9050caaae83b06ec09a272034409d6a197756b6d63e60

Observation d5ccf48b-b331-45f3-9f71-5ff448d77e7d · outbound

This paper cites Gemini 2.5: Our most intelligent ai model.

STAR: Semantic-Temporal Adaptive Representation Learning for Few-Shot Action Recognition Gemini 2.5: Our most intelligent ai model

Reference 72

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T16:20:11.147695Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-14T20:18:36.505585Z digest=sha256:959191fcc4243372f1b5bd2022c07df7ce390005b08c8edd89f1a0a02e92d827

Pith citing papers

No inbound Pith citation observations are available.