Paper Citation Record · LEDGER

Can masking background and object reduce static bias for zero-shot action recognition?

As of 12 August 2026, this Paper Citation Record lists 33 of 33 outbound references and 0 inbound Pith citation observations for arXiv:2501.12681.

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

pith.paper-citation-record.v1
2501.12681 v1

Coverage vector

measured 33 of 33 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T16:57:36.918200Z

measured 33 of 33 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+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

33 of 33 outbound references displayed

verified exact0
verified fuzzy20
unresolved13
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation b302677f-567d-4612-8d74-eb0857966e33 · outbound

This paper cites In: Proceedings of the IEEE/CVF International Confer- ence on Computer Vision (ICCV).

Can masking background and object reduce static bias for zero-shot action recognition? In: Proceedings of the IEEE/CVF International Confer- ence on Computer Vision (ICCV)

Reference 1

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Observation be594b49-024e-4d94-beca-41bc07e3b001 · outbound

This paper cites In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (July 2017) Masking background and object reduce static bias 13.

Can masking background and object reduce static bias for zero-shot action recognition? In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (July 2017) Masking background and object reduce static bias 13

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:57:37.298210Z

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Observation f0931b87-8c57-42d0-a58b-0f2266ff00bf · outbound

This paper cites In: Advances in Neural Infor- mation Processing Systems.

Can masking background and object reduce static bias for zero-shot action recognition? In: Advances in Neural Infor- mation Processing Systems

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:57:37.288435Z

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Observation 29b025d5-473d-499f-aff3-6e2b4a1ce618 · outbound

This paper cites In: Thirty-sixth Conference on Neural Information Processing Systems Datasets and Benchmarks Track (2022).

Can masking background and object reduce static bias for zero-shot action recognition? In: Thirty-sixth Conference on Neural Information Processing Systems Datasets and Benchmarks Track (2022)

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:57:37.278716Z

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Observation d15d874f-4ed5-48da-9349-c87f7ee81928 · outbound

This paper cites Neurocomputing 439, 159–175 (2021).

Can masking background and object reduce static bias for zero-shot action recognition? Neurocomputing 439, 159–175 (2021)

Reference 5

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Observation 69ad41bf-6348-41e1-8c3e-8cab8d50a52a · outbound

This paper cites In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (June 2020).

Can masking background and object reduce static bias for zero-shot action recognition? In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (June 2020)

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:57:37.258040Z

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Observation 39bc71c8-9364-49ea-9540-a88a1e215695 · outbound

This paper cites In: Proceedings of the IEEE International Conference on Computer Vision (ICCV) (Oct 2017).

Can masking background and object reduce static bias for zero-shot action recognition? In: Proceedings of the IEEE International Conference on Computer Vision (ICCV) (Oct 2017)

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:57:37.247304Z

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Observation d7599d36-ea7b-40cd-96dc-ff7b97ee6da5 · outbound

This paper cites IE- ICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences E104.A(6), 846–856 (2021).

Can masking background and object reduce static bias for zero-shot action recognition? IE- ICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences E104.A(6), 846–856 (2021)

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:57:37.237207Z

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Observation 31c74193-2bc1-4a23-8b46-9290161377cb · outbound

This paper cites In: Proceedings of the IEEE/CVF Con- ference on Computer Vision and Pattern Recognition (CVPR) Workshops.

Can masking background and object reduce static bias for zero-shot action recognition? In: Proceedings of the IEEE/CVF Con- ference on Computer Vision and Pattern Recognition (CVPR) Workshops

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:57:37.226295Z

Source-reported events for the cited work

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Observation 88da595a-5eda-4f4a-8271-cb15a98c8f24 · outbound

This paper cites In: Hua, G., J´ egou, H.

Can masking background and object reduce static bias for zero-shot action recognition? In: Hua, G., J´ egou, H

Reference 10

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Observation 9a610fa4-9bfe-4141-a3ce-296f84ca04a2 · outbound

This paper cites The Kinetics Human Action Video Dataset.

Can masking background and object reduce static bias for zero-shot action recognition? The Kinetics Human Action Video Dataset

Reference 11

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Observation 7073b341-19b5-48d5-a281-abbcceab69f3 · outbound

This paper cites In: Proceedings of the 4th ACM Interna- tional Conference on Multimedia in Asia.

Can masking background and object reduce static bias for zero-shot action recognition? In: Proceedings of the 4th ACM Interna- tional Conference on Multimedia in Asia

Reference 12

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Observation 7b2ea09f-18c0-409a-b5db-86f09650e246 · outbound

This paper cites In: Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV).

Can masking background and object reduce static bias for zero-shot action recognition? In: Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)

Reference 13

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Observation a3df36c7-190d-41e4-9578-7050d22c0803 · outbound

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Can masking background and object reduce static bias for zero-shot action recognition? Unresolved cited work

Reference 14

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Observation f4bbad19-11de-4445-8b86-c574cb845855 · outbound

This paper cites In: Metaxas, D.N., Quan, L., Sanfeliu, A., Gool, L.V.

Can masking background and object reduce static bias for zero-shot action recognition? In: Metaxas, D.N., Quan, L., Sanfeliu, A., Gool, L.V

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:57:37.181736Z

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Observation 8eafdda3-9aae-407b-99ac-2a4505459ef8 · outbound

This paper cites In: Proceedings of the European Conference on Computer Vision (ECCV) (September 2018).

Can masking background and object reduce static bias for zero-shot action recognition? In: Proceedings of the European Conference on Computer Vision (ECCV) (September 2018)

Reference 16

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Source-reported events for the cited work

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Observation cc47a398-8f39-458d-a3ca-c0f43ac8c317 · outbound

This paper cites In: Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV).

Can masking background and object reduce static bias for zero-shot action recognition? In: Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:57:37.163613Z

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Observation 829f75d6-44ef-49e2-a2ff-a27f49d9bfef · outbound

This paper cites Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection.

Can masking background and object reduce static bias for zero-shot action recognition? Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection

Reference 18

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Observation c23a42f2-4807-4102-a11b-f10d0f041568 · outbound

This paper cites In: International Conference on Learning Representations (2019).

Can masking background and object reduce static bias for zero-shot action recognition? In: International Conference on Learning Representations (2019)

Reference 19

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Observation 8e874bc7-7847-4a3b-8911-85d3d9b52803 · outbound

This paper cites In: Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Jul 2022).

Can masking background and object reduce static bias for zero-shot action recognition? In: Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Jul 2022)

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:57:37.147129Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation de62eec3-c7ae-4555-804d-aadd6b42f515 · outbound

This paper cites X-CLIP: End-to-End Multi-grained Contrastive Learning for Video-Text Retrieval.

Can masking background and object reduce static bias for zero-shot action recognition? X-CLIP: End-to-End Multi-grained Contrastive Learning for Video-Text Retrieval

Reference 21

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Observation 7a18d297-6865-4f13-b6fd-c52a9aa5b84f · outbound

This paper cites Representation Learning with Contrastive Predictive Coding.

Can masking background and object reduce static bias for zero-shot action recognition? Representation Learning with Contrastive Predictive Coding

Reference 22

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Observation 3cf9c7c3-7175-4cae-b476-0bcd571c40c6 · outbound

This paper cites Learning Transferable Visual Models From Natural Language Supervision.

Can masking background and object reduce static bias for zero-shot action recognition? Learning Transferable Visual Models From Natural Language Supervision

Reference 23

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Observation 48f9101a-8264-4723-96a3-35fdb1eba8d9 · outbound

This paper cites In: The IEEE/CVF Conference on Computer Vision and Pattern Recognition (2023).

Can masking background and object reduce static bias for zero-shot action recognition? In: The IEEE/CVF Conference on Computer Vision and Pattern Recognition (2023)

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:57:37.135786Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 03c450c7-7181-47cb-a863-dabbfed29f04 · outbound

This paper cites Video Transformers: A Survey.

Can masking background and object reduce static bias for zero-shot action recognition? Video Transformers: A Survey

Reference 25

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Source-reported events for the cited work

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Observation 4e7d986e-0480-4a87-87d6-c518aed6c9ba · outbound

This paper cites In: Ghahramani, Z., Welling, M., Cortes, C., Lawrence, N., Wein- berger, K.

Can masking background and object reduce static bias for zero-shot action recognition? In: Ghahramani, Z., Welling, M., Cortes, C., Lawrence, N., Wein- berger, K

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:57:37.124080Z

Source-reported events for the cited work

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Observation 866b48c4-d896-4111-aedb-46017ea61fcb · outbound

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

Can masking background and object reduce static bias for zero-shot action recognition? UCF101: A Dataset of 101 Human Actions Classes From Videos in The Wild

Reference 27

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Observation 6bef6e22-d912-478d-8e7b-380ddc34b530 · outbound

This paper cites In: Proceedings of the 19th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 2: VISAPP.

Can masking background and object reduce static bias for zero-shot action recognition? In: Proceedings of the 19th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 2: VISAPP

Reference 29

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Observation 4b29a161-2032-40bc-90f2-9550716567ab · outbound

This paper cites Vision Transformers for Action Recognition: A Survey.

Can masking background and object reduce static bias for zero-shot action recognition? Vision Transformers for Action Recognition: A Survey

Reference 30

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This paper cites ActionCLIP: A New Paradigm for Video Action Recognition.

Can masking background and object reduce static bias for zero-shot action recognition? ActionCLIP: A New Paradigm for Video Action Recognition

Reference 31

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Unavailable: canonical work link unavailable.

Observation 180e9075-5b6f-4aa5-ad09-5b337c423bc2 · outbound

This paper cites International Journal of Computer Vision 129(5), 1675–1690 (2021).

Can masking background and object reduce static bias for zero-shot action recognition? International Journal of Computer Vision 129(5), 1675–1690 (2021)

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:57:37.097350Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation e18c5ab9-66a4-46e3-bfb3-e30b05447c1f · outbound

This paper cites In: Proceedings of the IEEE/CVF Conference on Computer Vi- sion and Pattern Recognition (CVPR).

Can masking background and object reduce static bias for zero-shot action recognition? In: Proceedings of the IEEE/CVF Conference on Computer Vi- sion and Pattern Recognition (CVPR)

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:57:37.083831Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 151329ed-cf5c-4c17-bd2e-de575de3502d · outbound

This paper cites A Comprehensive Study of Deep Video Action Recognition.

Can masking background and object reduce static bias for zero-shot action recognition? A Comprehensive Study of Deep Video Action Recognition

Reference 34

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Source-reported events for the cited work

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Pith citing papers

No inbound Pith citation observations are available.