Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-12T10:41:52.389174Z
Paper Citation Record · LEDGER
TAMT: Temporal-Aware Model Tuning for Cross-Domain Few-Shot Action Recognition
As of 14 August 2026, this Paper Citation Record lists 64 of 64 outbound references and 1 inbound Pith citation observation for arXiv:2411.19041.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-05-17T22:31:13.391859Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-17T22:32:10.995864Z
Reference resolution
64 of 64 outbound references displayed
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- verified fuzzy54
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External citation measurements
No source-named external measurement is stored.
Outbound references
Observation d03c3966-b7b4-498b-b70a-5e7327f072dd · outbound
This paper cites StyleDomain: Efficient and lightweight parameteriza- tions of StyleGAN for one-shot and few-shot domain adap- tation.
TAMT: Temporal-Aware Model Tuning for Cross-Domain Few-Shot Action Recognition StyleDomain: Efficient and lightweight parameteriza- tions of StyleGAN for one-shot and few-shot domain adap- tation
Reference 1
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation c81721e7-2b96-452d-9ed6-4d1500a50fc1 · outbound
This paper cites ViViT: A video vision transformer.
TAMT: Temporal-Aware Model Tuning for Cross-Domain Few-Shot Action Recognition ViViT: A video vision transformer
Reference 2
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation befc249e-a94a-4c71-8033-36467cb715a5 · outbound
This paper cites TARN: Temporal attentive relation network for few-shot and zero-shot action recognition.
TAMT: Temporal-Aware Model Tuning for Cross-Domain Few-Shot Action Recognition TARN: Temporal attentive relation network for few-shot and zero-shot action recognition
Reference 3
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 03ca64df-42e1-4e30-afb1-78486075ad90 · outbound
This paper cites Pattern recognition and machine learning.
TAMT: Temporal-Aware Model Tuning for Cross-Domain Few-Shot Action Recognition Pattern recognition and machine learning
Reference 4
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation f6f61c86-6b50-43dc-8c28-b22491a549e8 · outbound
This paper cites Few-shot action recognition with implicit temporal alignment and pair similarity optimization.
TAMT: Temporal-Aware Model Tuning for Cross-Domain Few-Shot Action Recognition Few-shot action recognition with implicit temporal alignment and pair similarity optimization
Reference 5
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation e6c58cc5-d1e8-4af8-b71c-a24fb42e78b4 · outbound
This paper cites Few-shot video classification via tempo- ral alignment.
TAMT: Temporal-Aware Model Tuning for Cross-Domain Few-Shot Action Recognition Few-shot video classification via tempo- ral alignment
Reference 6
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation e79aafc2-6021-4ff2-95b0-bfe2baf1302a · outbound
This paper cites Quo vadis, Action Recognition? A new model and the kinetics dataset.
TAMT: Temporal-Aware Model Tuning for Cross-Domain Few-Shot Action Recognition Quo vadis, Action Recognition? A new model and the kinetics dataset
Reference 7
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 70a11b78-8b49-47f1-9e59-7d90be106f87 · outbound
This paper cites Tem- adapter: Adapting image-text pretraining for video question answer.
TAMT: Temporal-Aware Model Tuning for Cross-Domain Few-Shot Action Recognition Tem- adapter: Adapting image-text pretraining for video question answer
Reference 8
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 7fc877b9-d9d3-4244-8945-5283d1b277a8 · outbound
This paper cites Semantic Segmentation on VSPW Dataset through Aggregation of Transformer Models.
TAMT: Temporal-Aware Model Tuning for Cross-Domain Few-Shot Action Recognition Semantic Segmentation on VSPW Dataset through Aggregation of Transformer Models
Reference 9
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 01c2cc31-a00a-4e9b-8b73-a6fdb56df9d4 · outbound
This paper cites ImageNet: A large-scale hierarchical image database.
TAMT: Temporal-Aware Model Tuning for Cross-Domain Few-Shot Action Recognition ImageNet: A large-scale hierarchical image database
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T10:41:53.051000Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation bb064e9d-9461-47cb-a4e8-b5b2f7e7157f · outbound
This paper cites Tuning pre-trained model via moment probing.
TAMT: Temporal-Aware Model Tuning for Cross-Domain Few-Shot Action Recognition Tuning pre-trained model via moment probing
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T10:41:53.039417Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation ac781967-87e1-49eb-986c-8f817598dcca · outbound
This paper cites Exploring the cross-domain action recognition prob- lem by deep feature learning and cross-domain learning.IEEE Access, 6:68989–69008, 2018.
TAMT: Temporal-Aware Model Tuning for Cross-Domain Few-Shot Action Recognition Exploring the cross-domain action recognition prob- lem by deep feature learning and cross-domain learning.IEEE Access, 6:68989–69008, 2018
Reference 12
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 2609d7b5-2ff4-450e-87f6-98982c482249 · outbound
This paper cites A pairwise attentive adversarial spatiotemporal network for cross-domain few-shot action recognition-R2.
TAMT: Temporal-Aware Model Tuning for Cross-Domain Few-Shot Action Recognition A pairwise attentive adversarial spatiotemporal network for cross-domain few-shot action recognition-R2
Reference 13
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation b1838c3f-a8ac-42cd-8917-4aa437bc4636 · outbound
This paper cites A novel multiple-view adversarial learning network for unsupervised domain adaptation action recog- nition.
TAMT: Temporal-Aware Model Tuning for Cross-Domain Few-Shot Action Recognition A novel multiple-view adversarial learning network for unsupervised domain adaptation action recog- nition
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T10:41:53.004123Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 1001e78a-1b72-484e-bfe7-d76a8f2fc17b · outbound
This paper cites Towards better robustness against common corruptions for unsupervised domain adaptation.
TAMT: Temporal-Aware Model Tuning for Cross-Domain Few-Shot Action Recognition Towards better robustness against common corruptions for unsupervised domain adaptation
Reference 15
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 38597f82-6e06-47a8-aedf-4c6d7da93d1c · outbound
This paper cites Something Something.
TAMT: Temporal-Aware Model Tuning for Cross-Domain Few-Shot Action Recognition Something Something
Reference 16
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 1979dec1-0e7a-471c-b47c-2550150c0b88 · outbound
This paper cites Con- sistency prototype module and motion compensation for few- shot action recognition (CLIP-CPM 2C).
TAMT: Temporal-Aware Model Tuning for Cross-Domain Few-Shot Action Recognition Con- sistency prototype module and motion compensation for few- shot action recognition (CLIP-CPM 2C)
Reference 17
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 06893d35-5738-4d3f-8e1e-68216b12c6ed · outbound
This paper cites DMSD-CDFSAR: Distillation from mixed-source domain for cross-domain few-shot action recognition.
TAMT: Temporal-Aware Model Tuning for Cross-Domain Few-Shot Action Recognition DMSD-CDFSAR: Distillation from mixed-source domain for cross-domain few-shot action recognition
Reference 18
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 0ee90e67-b708-427c-86d3-817741ed1297 · outbound
This paper cites Codella, Leonid Karlinsky, James V.
TAMT: Temporal-Aware Model Tuning for Cross-Domain Few-Shot Action Recognition Codella, Leonid Karlinsky, James V
Reference 19
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 45d6a638-a362-4cb3-92cf-9d0415151dca · outbound
This paper cites Masked autoencoders are scalable vision learners.
TAMT: Temporal-Aware Model Tuning for Cross-Domain Few-Shot Action Recognition Masked autoencoders are scalable vision learners
Reference 20
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T10:41:52.939108Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 3640f397-9e85-463a-960e-53aea34f1051 · outbound
This paper cites Parameter-efficient transfer learning for NLP.
TAMT: Temporal-Aware Model Tuning for Cross-Domain Few-Shot Action Recognition Parameter-efficient transfer learning for NLP
Reference 21
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 738c7053-c68b-4627-bfea-c736e742c42f · outbound
This paper cites Dy- namic distillation network for cross-domain few-shot recog- nition with unlabeled data.
TAMT: Temporal-Aware Model Tuning for Cross-Domain Few-Shot Action Recognition Dy- namic distillation network for cross-domain few-shot recog- nition with unlabeled data
Reference 22
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation c6e42d69-0fe8-4903-8935-fe23cae2091c · outbound
This paper cites Kuehne, H.
TAMT: Temporal-Aware Model Tuning for Cross-Domain Few-Shot Action Recognition Kuehne, H
Reference 23
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T10:41:52.906688Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation cb5005d1-a31f-4ed7-b908-3d9030c622e8 · outbound
This paper cites UniFormerV2: Unlocking the 9 potential of image vits for video understanding.
TAMT: Temporal-Aware Model Tuning for Cross-Domain Few-Shot Action Recognition UniFormerV2: Unlocking the 9 potential of image vits for video understanding
Reference 24
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation ed8ce010-5ef5-49b6-8576-49b1407b9b32 · outbound
This paper cites RESOUND: To- wards action recognition without representation bias.
TAMT: Temporal-Aware Model Tuning for Cross-Domain Few-Shot Action Recognition RESOUND: To- wards action recognition without representation bias
Reference 25
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T10:41:52.886041Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 8d77ec7a-d311-4af2-a727-c89f88dc797a · outbound
This paper cites Scaling & shifting your features: A new baseline for efficient model tuning.
TAMT: Temporal-Aware Model Tuning for Cross-Domain Few-Shot Action Recognition Scaling & shifting your features: A new baseline for efficient model tuning
Reference 26
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 7e99c0be-09af-4fed-a89d-121e1cd530f4 · outbound
This paper cites Deep quality assessment of com- pressed videos: A subjective and objective study.IEEE Trans- actions on Circuits and Systems for Video Technology, 33(6): 2616–2626, 2023.
TAMT: Temporal-Aware Model Tuning for Cross-Domain Few-Shot Action Recognition Deep quality assessment of com- pressed videos: A subjective and objective study.IEEE Trans- actions on Circuits and Systems for Video Technology, 33(6): 2616–2626, 2023
Reference 27
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 390d0bb9-281a-48c0-ab53-5761d35fac7c · outbound
This paper cites MASTAF: A model-agnostic spatio-temporal attention fusion network for few-shot video classification.
TAMT: Temporal-Aware Model Tuning for Cross-Domain Few-Shot Action Recognition MASTAF: A model-agnostic spatio-temporal attention fusion network for few-shot video classification
Reference 28
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation c061ede7-aee9-4395-940f-21af19ce1375 · outbound
This paper cites TAM: Temporal adaptive module for video recognition.
TAMT: Temporal-Aware Model Tuning for Cross-Domain Few-Shot Action Recognition TAM: Temporal adaptive module for video recognition
Reference 29
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 5991fad7-99e4-40f9-a0dd-90337a5ad880 · outbound
This paper cites Fine-grained unsupervised do- main adaptation for gait recognition.
TAMT: Temporal-Aware Model Tuning for Cross-Domain Few-Shot Action Recognition Fine-grained unsupervised do- main adaptation for gait recognition
Reference 30
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation ca28380d-225e-4dbf-b815-f7cbd5da102d · outbound
This paper cites RareAct: A video dataset of unusual interactions.
TAMT: Temporal-Aware Model Tuning for Cross-Domain Few-Shot Action Recognition RareAct: A video dataset of unusual interactions
Reference 31
- Resolution
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Source-reported events for the cited work
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Observation a21be97b-0fe7-4504-8eb7-afd0812a1e94 · outbound
This paper cites DINOv2: Learning Robust Visual Features without Supervision.
TAMT: Temporal-Aware Model Tuning for Cross-Domain Few-Shot Action Recognition DINOv2: Learning Robust Visual Features without Supervision
Reference 32
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ce45bf6e-ba3a-4199-9f3f-39841d9e8a22 · outbound
This paper cites ST-Adapter: Parameter-efficient image-to-video transfer learning.
TAMT: Temporal-Aware Model Tuning for Cross-Domain Few-Shot Action Recognition ST-Adapter: Parameter-efficient image-to-video transfer learning
Reference 33
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 865703a7-d1e1-40e8-b691-fe7869309afa · outbound
This paper cites Temporal-relational cross Transformers for few-shot action recognition.
TAMT: Temporal-Aware Model Tuning for Cross-Domain Few-Shot Action Recognition Temporal-relational cross Transformers for few-shot action recognition
Reference 34
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 4a540729-a7ae-4a17-a85f-b20c5f04f8e3 · outbound
This paper cites Self-training for few-shot transfer across extreme task differences.
TAMT: Temporal-Aware Model Tuning for Cross-Domain Few-Shot Action Recognition Self-training for few-shot transfer across extreme task differences
Reference 35
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation fb95b448-324a-4593-b961-8c9e050e9c1a · outbound
This paper cites an unresolved cited work.
TAMT: Temporal-Aware Model Tuning for Cross-Domain Few-Shot Action Recognition Unresolved cited work
Reference 36
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 9ab54372-b61f-4330-a98e-e3e90476c576 · outbound
This paper cites Contrast with reconstruct: Contrastive 3D representation learning guided by generative pretraining.
TAMT: Temporal-Aware Model Tuning for Cross-Domain Few-Shot Action Recognition Contrast with reconstruct: Contrastive 3D representation learning guided by generative pretraining
Reference 37
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T10:41:52.770529Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 22d3173b-d3b5-4cfa-b6f3-cac719cd8083 · outbound
This paper cites Learning transferable visual models from natural language supervision.
TAMT: Temporal-Aware Model Tuning for Cross-Domain Few-Shot Action Recognition Learning transferable visual models from natural language supervision
Reference 38
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T10:41:52.759686Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 9b3fefd7-7ead-4bda-b3af-93387193cda5 · outbound
This paper cites CDFSL-V: Cross-domain few-shot learning for videos.
TAMT: Temporal-Aware Model Tuning for Cross-Domain Few-Shot Action Recognition CDFSL-V: Cross-domain few-shot learning for videos
Reference 39
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T10:41:52.746975Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 10f37aa2-774b-42d4-9282-604fe3ada1f3 · outbound
This paper cites Com- monsense knowledge prompting for few-shot action recogni- tion in videos.
TAMT: Temporal-Aware Model Tuning for Cross-Domain Few-Shot Action Recognition Com- monsense knowledge prompting for few-shot action recogni- tion in videos
Reference 40
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T10:41:52.735091Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 59ef85c7-0b57-493e-bf58-85677469c35b · outbound
This paper cites Prototypical networks for few-shot learning.
TAMT: Temporal-Aware Model Tuning for Cross-Domain Few-Shot Action Recognition Prototypical networks for few-shot learning
Reference 41
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T10:41:52.723643Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 1ec7d5d1-c1f5-423a-8b8c-22bc0add1bdc · outbound
This paper cites UCF101: A Dataset of 101 Human Actions Classes From Videos in The Wild.
TAMT: Temporal-Aware Model Tuning for Cross-Domain Few-Shot Action Recognition UCF101: A Dataset of 101 Human Actions Classes From Videos in The Wild
Reference 42
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T10:41:52.306070Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 40e86561-981c-49c7-a427-f1d2c2bfc743 · outbound
This paper cites Spatio-temporal relation modeling for few-shot action recognition.
TAMT: Temporal-Aware Model Tuning for Cross-Domain Few-Shot Action Recognition Spatio-temporal relation modeling for few-shot action recognition
Reference 43
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T10:41:52.713218Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 6c2248df-2e0a-4a5e-95b1-99a5e3593dd9 · outbound
This paper cites Video- MAE: Masked autoencoders are data-efficient learners for self-supervised video pre-training.
TAMT: Temporal-Aware Model Tuning for Cross-Domain Few-Shot Action Recognition Video- MAE: Masked autoencoders are data-efficient learners for self-supervised video pre-training
Reference 44
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T10:41:52.703059Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 908ce6f9-9e8a-4cfd-8528-ba76ca15a342 · outbound
This paper cites VideoMAE V2: Scaling video masked autoencoders with dual masking.
TAMT: Temporal-Aware Model Tuning for Cross-Domain Few-Shot Action Recognition VideoMAE V2: Scaling video masked autoencoders with dual masking
Reference 45
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T10:41:52.693321Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 7b9ed767-b234-4117-bb3b-a2e01ebac9b9 · outbound
This paper cites Hybrid relation guided set matching for few-shot action recog- nition.
TAMT: Temporal-Aware Model Tuning for Cross-Domain Few-Shot Action Recognition Hybrid relation guided set matching for few-shot action recog- nition
Reference 46
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T10:41:52.681635Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation bd44164b-bdf5-49e6-8748-15ced870c131 · outbound
This paper cites Few-shot learning meets transformer: Unified query-support transform- ers for few-shot classification.
TAMT: Temporal-Aware Model Tuning for Cross-Domain Few-Shot Action Recognition Few-shot learning meets transformer: Unified query-support transform- ers for few-shot classification
Reference 47
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T10:41:52.670312Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 0465652b-dbb1-435e-a39e-2e85575855ba · outbound
This paper cites Task- aware dual-representation network for few-shot action recog- 10 nition.
TAMT: Temporal-Aware Model Tuning for Cross-Domain Few-Shot Action Recognition Task- aware dual-representation network for few-shot action recog- 10 nition
Reference 48
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T10:41:52.658182Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation f79071a4-47e0-4529-86c2-65c54117eaa6 · outbound
This paper cites MoLo: Motion- augmented long-short contrastive learning for few-shot action recognition.
TAMT: Temporal-Aware Model Tuning for Cross-Domain Few-Shot Action Recognition MoLo: Motion- augmented long-short contrastive learning for few-shot action recognition
Reference 49
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T10:41:52.646218Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 0be148b3-5373-45e6-af72-6443dc9f0cad · outbound
This paper cites Cross-domain few-shot ac- tion recognition with unlabeled videos.
TAMT: Temporal-Aware Model Tuning for Cross-Domain Few-Shot Action Recognition Cross-domain few-shot ac- tion recognition with unlabeled videos
Reference 50
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T10:41:52.635494Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation b688cc8b-db2e-44e1-bd87-887df2dce224 · outbound
This paper cites Few-shot Action Recognition with Captioning Foundation Models.
TAMT: Temporal-Aware Model Tuning for Cross-Domain Few-Shot Action Recognition Few-shot Action Recognition with Captioning Foundation Models
Reference 51
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T10:41:52.340037Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6ebbef3a-9ca9-4090-a545-3d4c6f672aa4 · outbound
This paper cites Few-shot action recognition via multi-view represen- tation learning.
TAMT: Temporal-Aware Model Tuning for Cross-Domain Few-Shot Action Recognition Few-shot action recognition via multi-view represen- tation learning
Reference 52
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T10:41:52.624897Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation a918c23d-77a4-46eb-94ab-dcdf821fd69d · outbound
This paper cites CLIP-guided prototype modulating for few-shot action recognition.
TAMT: Temporal-Aware Model Tuning for Cross-Domain Few-Shot Action Recognition CLIP-guided prototype modulating for few-shot action recognition
Reference 53
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T10:41:52.613809Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation cab6c30c-7327-4ee4-8dce-62aa30aa84cc · outbound
This paper cites InternVideo: General Video Foundation Models via Generative and Discriminative Learning.
TAMT: Temporal-Aware Model Tuning for Cross-Domain Few-Shot Action Recognition InternVideo: General Video Foundation Models via Generative and Discriminative Learning
Reference 54
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T10:41:52.352174Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 39578c4f-fd3a-4487-a8d9-9e133d7f4de2 · outbound
This paper cites Active exploration of multimodal complemen- tarity for few-shot action recognition.
TAMT: Temporal-Aware Model Tuning for Cross-Domain Few-Shot Action Recognition Active exploration of multimodal complemen- tarity for few-shot action recognition
Reference 55
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T10:41:52.603400Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation c894b60d-2e03-4e10-b39f-da371ada7f74 · outbound
This paper cites Boosting few-shot action recognition with graph- guided hybrid matching.
TAMT: Temporal-Aware Model Tuning for Cross-Domain Few-Shot Action Recognition Boosting few-shot action recognition with graph- guided hybrid matching
Reference 56
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T10:41:52.592275Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 7e6834b3-316a-4290-8d37-1e4d87debc7d · outbound
This paper cites Multiview Trans- formers for video recognition.
TAMT: Temporal-Aware Model Tuning for Cross-Domain Few-Shot Action Recognition Multiview Trans- formers for video recognition
Reference 57
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T10:41:52.581567Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation b889b480-70d6-40b7-9c10-b04671ba000d · outbound
This paper cites Learning implicit temporal alignment for few-shot video classification.
TAMT: Temporal-Aware Model Tuning for Cross-Domain Few-Shot Action Recognition Learning implicit temporal alignment for few-shot video classification
Reference 58
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T10:41:52.569961Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 59395302-5f91-4b02-8161-1e4d9600c342 · outbound
This paper cites Image BERT pre-training with online tokenizer.
TAMT: Temporal-Aware Model Tuning for Cross-Domain Few-Shot Action Recognition Image BERT pre-training with online tokenizer
Reference 59
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T10:41:52.557327Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 73a6b65a-7348-441c-a13c-20194bd9e17b · outbound
This paper cites Compound memory networks for few-shot video classification.
TAMT: Temporal-Aware Model Tuning for Cross-Domain Few-Shot Action Recognition Compound memory networks for few-shot video classification
Reference 60
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T10:41:52.545396Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 949880d9-3a01-472b-8d48-aeeaf5cb44f0 · outbound
This paper cites an unresolved cited work.
TAMT: Temporal-Aware Model Tuning for Cross-Domain Few-Shot Action Recognition Unresolved cited work
Reference 62
- Resolution
- unresolved
- raw_fallback, observed 2026-08-12T10:41:52.523391Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation add09149-12fa-4f1b-895b-24d0e2100efb · outbound
This paper cites Playing cards.
TAMT: Temporal-Aware Model Tuning for Cross-Domain Few-Shot Action Recognition Playing cards
Reference 63
- Resolution
- malformed identifier
- raw_fallback, observed 2026-08-12T10:41:52.511518Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation b9e195e2-27a5-4b5b-9d0e-d30491f66f94 · outbound
This paper cites Hammer phone.
TAMT: Temporal-Aware Model Tuning for Cross-Domain Few-Shot Action Recognition Hammer phone
Reference 64
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T10:41:52.499412Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 462c50b1-9f60-4431-9c27-40e87be39ad9 · outbound
This paper cites an unresolved cited work.
TAMT: Temporal-Aware Model Tuning for Cross-Domain Few-Shot Action Recognition Unresolved cited work
Reference 2018
- Resolution
- unresolved
- raw_fallback, observed 2026-08-12T10:41:52.534588Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Pith citing papers
Observation 9c3c84c2-cb27-4f7a-b8b3-86a739b22ded · inbound
Uni-Hand: Universal Hand Motion Forecasting in Egocentric Views cites this paper.
Uni-Hand: Universal Hand Motion Forecasting in Egocentric Views TAMT: Temporal-Aware Model Tuning for Cross-Domain Few-Shot Action Recognition
Reference 59
- Resolution
- verified exact
- arxiv_id, observed 2026-05-17T22:32:10.999064Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.