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Paper Citation Record · LEDGER

FAS-R1: A Unified Multi-Task MLLM for Reasoning Face Anti-Spoofing

As of 9 August 2026, this Paper Citation Record lists 82 of 82 outbound references and 0 inbound Pith citation observations for arXiv:2607.26432.

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

pith.paper-citation-record.v1
2607.26432 v1

Coverage vector

measured 82 of 82 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-01T16:07:55.141616Z

measured 82 of 82 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+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

82 of 82 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved82
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 3cca302e-e0a5-4008-83e4-440df24800fc · outbound

This paper cites an unresolved cited work.

FAS-R1: A Unified Multi-Task MLLM for Reasoning Face Anti-Spoofing Unresolved cited work

Reference 1

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T16:07:54.924180Z digest=sha256:f789f8a28e8e427c98afe175390489e90f6a95031ac0daf7682538cb71e452dd

Observation c1f68725-81b7-4abc-959f-ce37c7b17b1f · outbound

This paper cites Journal of Foo , volume = 13, number = 1, pages =.

FAS-R1: A Unified Multi-Task MLLM for Reasoning Face Anti-Spoofing Journal of Foo , volume = 13, number = 1, pages =

Reference 2

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source=arxiv_source observed=2026-08-01T16:07:54.927364Z digest=sha256:11ed3fbfa4322345acdbe97c08fe55c845b69dbc33dee911ac3c4c925546d491

Observation f74d555a-656a-44a5-868d-77bfad079ab5 · outbound

This paper cites Journal of Foo , volume = 14, number = 1, pages =.

FAS-R1: A Unified Multi-Task MLLM for Reasoning Face Anti-Spoofing Journal of Foo , volume = 14, number = 1, pages =

Reference 3

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no resolver link, observed 2026-08-01T16:07:54.930485Z

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source=arxiv_source observed=2026-08-01T16:07:54.930485Z digest=sha256:58d4e30f4d6f5b7907ad24b61276e1c1ae0291f111feacb2e9e386e0a815b46d

Observation 489a492e-1077-42b0-a404-bd5e05496fc1 · outbound

This paper cites an unresolved cited work.

FAS-R1: A Unified Multi-Task MLLM for Reasoning Face Anti-Spoofing Unresolved cited work

Reference 4

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no resolver link, observed 2026-08-01T16:07:54.933427Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T16:07:54.933427Z digest=sha256:833ac7e7965c200d67ebfb0b472b18b5613c57c31405c95b6e03e44db7c271f0

Observation 458466eb-c578-4d3a-9e64-aa3b538daad4 · outbound

This paper cites an unresolved cited work.

FAS-R1: A Unified Multi-Task MLLM for Reasoning Face Anti-Spoofing Unresolved cited work

Reference 5

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unresolved
no resolver link, observed 2026-08-01T16:07:54.936242Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T16:07:54.936242Z digest=sha256:a0b7a1d7e76c3a73ff423359285f4a2ea291daa0858b9151b417ac0e659fffe5

Observation cde523a4-dfe0-4413-95fa-1ae0673a62c9 · outbound

This paper cites International Joint Conference on Biometrics (IJCB) , year =.

FAS-R1: A Unified Multi-Task MLLM for Reasoning Face Anti-Spoofing International Joint Conference on Biometrics (IJCB) , year =

Reference 6

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unresolved
no resolver link, observed 2026-08-01T16:07:54.939120Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T16:07:54.939120Z digest=sha256:4ba0030f9c84dbb5dc741ba5eee9e74c86d3e690cd102b18cdcc8bab2a9b009e

Observation c9f6bd7b-46bf-40c9-9775-acad3573cbf1 · outbound

This paper cites BIOSIG , year =.

FAS-R1: A Unified Multi-Task MLLM for Reasoning Face Anti-Spoofing BIOSIG , year =

Reference 7

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no resolver link, observed 2026-08-01T16:07:54.942504Z

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source=arxiv_source observed=2026-08-01T16:07:54.942504Z digest=sha256:c0e58b78ea9f4b1a3d86c09f5979cc3714c3637357740f9c9e60b983a245a98f

Observation 6c7b54e5-d2da-4a7e-8b22-399d34848580 · outbound

This paper cites Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) , year =.

FAS-R1: A Unified Multi-Task MLLM for Reasoning Face Anti-Spoofing Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) , year =

Reference 8

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no resolver link, observed 2026-08-01T16:07:54.945517Z

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source=arxiv_source observed=2026-08-01T16:07:54.945517Z digest=sha256:d0cd3a72bff7de42bb51f392ee970231c461bc9185b1aaf106a9bb7f748cf7be

Observation 39046924-8a1d-4bf5-bcf6-8572ee8a56e7 · outbound

This paper cites Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) , year =.

FAS-R1: A Unified Multi-Task MLLM for Reasoning Face Anti-Spoofing Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) , year =

Reference 9

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no resolver link, observed 2026-08-01T16:07:54.948140Z

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source=arxiv_source observed=2026-08-01T16:07:54.948140Z digest=sha256:a57336a438b68a723f22acfe2b92ae44f033e0e92a8f877f0b5395db248cae24

Observation e6924c35-3cd7-4e16-b12c-7e78f083927a · outbound

This paper cites Proceedings of the 38th International Conference on Machine Learning (ICML) , year =.

FAS-R1: A Unified Multi-Task MLLM for Reasoning Face Anti-Spoofing Proceedings of the 38th International Conference on Machine Learning (ICML) , year =

Reference 10

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no resolver link, observed 2026-08-01T16:07:54.950771Z

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source=arxiv_source observed=2026-08-01T16:07:54.950771Z digest=sha256:52368f6094903281db1d34f12e0e6343d3fb7345bd9bce00a60eac0685995bbb

Observation 8377c82a-dedf-458f-9ec7-a2362d2d67d6 · outbound

This paper cites Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) , year =.

FAS-R1: A Unified Multi-Task MLLM for Reasoning Face Anti-Spoofing Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) , year =

Reference 11

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no resolver link, observed 2026-08-01T16:07:54.953226Z

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source=arxiv_source observed=2026-08-01T16:07:54.953226Z digest=sha256:05c03f3f43ba76b630b6ae93bc00739fe115da0da992bc4aa2d1e9b278e8c4d7

Observation da1b7dc8-b2fd-48c7-ab38-3bbf623b38f5 · outbound

This paper cites Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) , year =.

FAS-R1: A Unified Multi-Task MLLM for Reasoning Face Anti-Spoofing Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) , year =

Reference 12

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unresolved
no resolver link, observed 2026-08-01T16:07:54.955674Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T16:07:54.955674Z digest=sha256:e873424005dd1f99a28bc7d8b3f0cedb7871c90c5e2ec81f3ee1ec18b42de92e

Observation 2d1d3be8-5d72-4751-b98b-36fe5d25c4e2 · outbound

This paper cites European Conference on Computer Vision (ECCV) , year =.

FAS-R1: A Unified Multi-Task MLLM for Reasoning Face Anti-Spoofing European Conference on Computer Vision (ECCV) , year =

Reference 13

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no resolver link, observed 2026-08-01T16:07:54.958479Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T16:07:54.958479Z digest=sha256:437375955e53f3d86dcd82cd8154791e7c1467af62adf542fd20a3dfd63fec4a

Observation 2d86a177-b217-4ce9-ae78-9170a6a2b24f · outbound

This paper cites TeG-DG: Textually Guided Domain Generalization for Face Anti-Spoofing.

FAS-R1: A Unified Multi-Task MLLM for Reasoning Face Anti-Spoofing TeG-DG: Textually Guided Domain Generalization for Face Anti-Spoofing

Reference 14

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no resolver link, observed 2026-08-01T16:07:54.960921Z

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source=arxiv_source observed=2026-08-01T16:07:54.960921Z digest=sha256:a7cc56404ca888d739889d3cce4ba2c036fcc0207df948c0848d0caefc68a7fd

Observation 71fd2a2c-245e-46c8-82e6-3eaed876852c · outbound

This paper cites Advances in Neural Information Processing Systems (NeurIPS) , year =.

FAS-R1: A Unified Multi-Task MLLM for Reasoning Face Anti-Spoofing Advances in Neural Information Processing Systems (NeurIPS) , year =

Reference 15

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no resolver link, observed 2026-08-01T16:07:54.964200Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T16:07:54.964200Z digest=sha256:d3f76e9873c8bdcb585031267ab8190a7f1cb127eaa6a3311da4960329667b26

Observation 3f47b639-37a0-4f56-9143-0e7cabb3c3d8 · outbound

This paper cites Advances in Neural Information Processing Systems (NeurIPS) , year =.

FAS-R1: A Unified Multi-Task MLLM for Reasoning Face Anti-Spoofing Advances in Neural Information Processing Systems (NeurIPS) , year =

Reference 16

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no resolver link, observed 2026-08-01T16:07:54.967109Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T16:07:54.967109Z digest=sha256:cd72c5009e3171dd01661a01ad020accccc2489de8026edd044acc459dee0c1e

Observation 4208f5fe-8f85-42e7-8f24-810792e7b644 · outbound

This paper cites Direct Preference Optimization: Your Language Model is Secretly a Reward Model.

FAS-R1: A Unified Multi-Task MLLM for Reasoning Face Anti-Spoofing Direct Preference Optimization: Your Language Model is Secretly a Reward Model

Reference 17

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no resolver link, observed 2026-08-01T16:07:54.969508Z

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source=arxiv_source observed=2026-08-01T16:07:54.969508Z digest=sha256:d7fdc73c61a513132900b361efedbef3b1b19f50a2e8f5dc49a0af1c5cf2558f

Observation 62cf7a0b-49f4-45f5-98c9-76e1c9672974 · outbound

This paper cites Proximal Policy Optimization Algorithms.

FAS-R1: A Unified Multi-Task MLLM for Reasoning Face Anti-Spoofing Proximal Policy Optimization Algorithms

Reference 18

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no resolver link, observed 2026-08-01T16:07:54.972371Z

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source=arxiv_source observed=2026-08-01T16:07:54.972371Z digest=sha256:453025ffcbbc939f03cd78cabd428970c4769dc8e3264f34bee0b422af625588

Observation 8144d020-b12f-415b-9c12-7fb65865b191 · outbound

This paper cites DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models.

FAS-R1: A Unified Multi-Task MLLM for Reasoning Face Anti-Spoofing DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models

Reference 19

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no resolver link, observed 2026-08-01T16:07:54.975089Z

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source=arxiv_source observed=2026-08-01T16:07:54.975089Z digest=sha256:277aefd2f1dded92eaf19b12e1f089d1dba08ab81bf1bf631540bef97cdd78fc

Observation 7a9d2351-63f7-438c-bb38-aee70fd6f33d · outbound

This paper cites DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning.

FAS-R1: A Unified Multi-Task MLLM for Reasoning Face Anti-Spoofing DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 20

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source=arxiv_source observed=2026-08-01T16:07:54.977826Z digest=sha256:19cbaee8cc35de1d2535d7cff72af6e3a9cc2a1ab4657c80d2978fd2a82751da

Observation ae12ba24-68f3-472c-940c-41f4a418ee40 · outbound

This paper cites Vision-R1: Incentivizing Reasoning Capability in Multimodal Large Language Models.

FAS-R1: A Unified Multi-Task MLLM for Reasoning Face Anti-Spoofing Vision-R1: Incentivizing Reasoning Capability in Multimodal Large Language Models

Reference 21

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T16:07:54.980401Z digest=sha256:5b6cab76f6f397ea0ff7eac977e3c5c6f00454fb50c1ed87fabf9df30153f323

Observation 61ef3827-1401-4dee-a1bb-90e267c66b78 · outbound

This paper cites R1-VL: Learning to Reason with Multimodal Large Language Models via Step-wise Group Relative Policy Optimization.

FAS-R1: A Unified Multi-Task MLLM for Reasoning Face Anti-Spoofing R1-VL: Learning to Reason with Multimodal Large Language Models via Step-wise Group Relative Policy Optimization

Reference 22

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source=arxiv_source observed=2026-08-01T16:07:54.983171Z digest=sha256:291a88c1584bae5320cd46a21f38f2768d0b8a2d0e74acf7e71c360f7603824f

Observation a478b67d-45db-4255-950e-76b443cc0d46 · outbound

This paper cites arXiv preprint arXiv:2504.18458 , year =.

FAS-R1: A Unified Multi-Task MLLM for Reasoning Face Anti-Spoofing arXiv preprint arXiv:2504.18458 , year =

Reference 23

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no resolver link, observed 2026-08-01T16:07:54.986654Z

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source=arxiv_source observed=2026-08-01T16:07:54.986654Z digest=sha256:f7a4efc60984a5f114092dbec05a10615b705a590f359582ee203aed28021a60

Observation f5064c36-984e-4407-b219-551ebaa04e4f · outbound

This paper cites GUI-R1 : A Generalist R1-Style Vision-Language Action Model For GUI Agents.

FAS-R1: A Unified Multi-Task MLLM for Reasoning Face Anti-Spoofing GUI-R1 : A Generalist R1-Style Vision-Language Action Model For GUI Agents

Reference 24

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source=arxiv_source observed=2026-08-01T16:07:54.989312Z digest=sha256:4cdb063c8de5234780a41afd144441d2bbee6bf740bf7d6153f91bc0ba763a71

Observation 6da4f346-830b-4859-a1e0-5f569c0554cf · outbound

This paper cites arXiv preprint arXiv:2505.14460 , year =.

FAS-R1: A Unified Multi-Task MLLM for Reasoning Face Anti-Spoofing arXiv preprint arXiv:2505.14460 , year =

Reference 25

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source=arxiv_source observed=2026-08-01T16:07:54.992634Z digest=sha256:ed29522f367cb0b54bbdb3b2838964eea0f7dcd2f2266b4a2256a01bef9585dd

Observation 70d189a9-e13a-4256-a001-25632cc79443 · outbound

This paper cites LlamaFactory: Unified Efficient Fine-Tuning of 100+ Language Models.

FAS-R1: A Unified Multi-Task MLLM for Reasoning Face Anti-Spoofing LlamaFactory: Unified Efficient Fine-Tuning of 100+ Language Models

Reference 26

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source=arxiv_source observed=2026-08-01T16:07:54.995652Z digest=sha256:5ebc2d2648035f327036f2bb2077fa12d65116d69344afb00d2ebaad49400994

Observation ca75b083-d0d4-41d0-9142-ccdbb2668e79 · outbound

This paper cites Qwen2.5-VL Technical Report.

FAS-R1: A Unified Multi-Task MLLM for Reasoning Face Anti-Spoofing Qwen2.5-VL Technical Report

Reference 27

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source=arxiv_source observed=2026-08-01T16:07:54.998314Z digest=sha256:91381b3e97887e1c5691ae13f68266fa58e258e124a46d1be8764081f1c16643

Observation 6278f847-cf75-42b0-85ac-18773c3d25b9 · outbound

This paper cites arXiv preprint arXiv:2505.09415 , year =.

FAS-R1: A Unified Multi-Task MLLM for Reasoning Face Anti-Spoofing arXiv preprint arXiv:2505.09415 , year =

Reference 28

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source=arxiv_source observed=2026-08-01T16:07:55.000899Z digest=sha256:540e9ccf71b32a0230c7c58a39ecd6cffd0be4525fb317eb465affae00191a72

Observation 712f00ba-557b-45fc-a11d-bf194e9e5ad2 · outbound

This paper cites Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) , year =.

FAS-R1: A Unified Multi-Task MLLM for Reasoning Face Anti-Spoofing Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) , year =

Reference 29

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source=arxiv_source observed=2026-08-01T16:07:55.003581Z digest=sha256:e18566d96bfbd39ab12eaffbf25ce24f1bb0998c06457dd87ab78da1cb544e12

Observation 97f50951-ddec-4336-b3e4-ff3a2f0d07d4 · outbound

This paper cites Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) , year =.

FAS-R1: A Unified Multi-Task MLLM for Reasoning Face Anti-Spoofing Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) , year =

Reference 30

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source=arxiv_source observed=2026-08-01T16:07:55.005997Z digest=sha256:ef32eab1abfd1c4be74285aab7edf2246b990c56c444f4e4549dd5908eb5304a

Observation 39d3d693-f033-4e30-8af3-d6325c07500f · outbound

This paper cites Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) , year =.

FAS-R1: A Unified Multi-Task MLLM for Reasoning Face Anti-Spoofing Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) , year =

Reference 31

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source=arxiv_source observed=2026-08-01T16:07:55.008594Z digest=sha256:fd4faa6ebac96624a46e748ab6f8fc6b62ac749ccf468e60325cee2d6d402737

Observation 58f4cf7c-bbfb-4cc7-8677-361e19d67461 · outbound

This paper cites Qwen-VL: A Versatile Vision-Language Model for Understanding, Localization, Text Reading, and Beyond.

FAS-R1: A Unified Multi-Task MLLM for Reasoning Face Anti-Spoofing Qwen-VL: A Versatile Vision-Language Model for Understanding, Localization, Text Reading, and Beyond

Reference 32

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source=arxiv_source observed=2026-08-01T16:07:55.011216Z digest=sha256:b3952f938b002da53951004c9d418013292a11e4d7f3ea012853b401d246e160

Observation 70e6073d-caf2-43da-8e0a-a4df70f84011 · outbound

This paper cites MiniGPT-4: Enhancing Vision-Language Understanding with Advanced Large Language Models.

FAS-R1: A Unified Multi-Task MLLM for Reasoning Face Anti-Spoofing MiniGPT-4: Enhancing Vision-Language Understanding with Advanced Large Language Models

Reference 33

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source=arxiv_source observed=2026-08-01T16:07:55.014477Z digest=sha256:c9d7efcc7f334d8aae088f6e10befbc5f535a0fe9b7ac668af4fe5df91746c1b

Observation 1373dba2-dee2-4b26-8797-591687a27972 · outbound

This paper cites Efficient Multimodal Learning from Data-centric Perspective.

FAS-R1: A Unified Multi-Task MLLM for Reasoning Face Anti-Spoofing Efficient Multimodal Learning from Data-centric Perspective

Reference 34

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source=arxiv_source observed=2026-08-01T16:07:55.017604Z digest=sha256:b04006bba3579fe02c5fdac7e6c552271cb304e68ff055db733eb10272062c23

Observation 859c2fb2-e327-41c1-8756-efb0ccbe2bd9 · outbound

This paper cites 2025 , howpublished =.

FAS-R1: A Unified Multi-Task MLLM for Reasoning Face Anti-Spoofing 2025 , howpublished =

Reference 35

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source=arxiv_source observed=2026-08-01T16:07:55.020323Z digest=sha256:62c4af484d48c878b7000b3514f81b1d144b6dd0bda206fd37086d86f81afc24

Observation bc0c7e36-e98c-4468-86d1-eb26784ecc75 · outbound

This paper cites 2025 , howpublished =.

FAS-R1: A Unified Multi-Task MLLM for Reasoning Face Anti-Spoofing 2025 , howpublished =

Reference 36

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source=arxiv_source observed=2026-08-01T16:07:55.023287Z digest=sha256:2d32b3e9a3cf91c1e748a3961966194eea29cba5dc01962fadcca9f8dab23d74

Observation b4394d59-c195-426b-a454-2998d6d8ef77 · outbound

This paper cites 2025 , howpublished =.

FAS-R1: A Unified Multi-Task MLLM for Reasoning Face Anti-Spoofing 2025 , howpublished =

Reference 37

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source=arxiv_source observed=2026-08-01T16:07:55.026100Z digest=sha256:bb4536d639d11a37dddde177cb2a88e7764cf00f39bb20a0cd0727a493dcf795

Observation 7aef2c08-efc0-4b5b-9c43-5facba2f996a · outbound

This paper cites Lenna: Language Enhanced Reasoning Detection Assistant.

FAS-R1: A Unified Multi-Task MLLM for Reasoning Face Anti-Spoofing Lenna: Language Enhanced Reasoning Detection Assistant

Reference 38

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source=arxiv_source observed=2026-08-01T16:07:55.028576Z digest=sha256:f3c4bc5b8f59807c81f812f366ac0bb4bbc5d24f23aa200eb6e0695ebb4059a5

Observation 91d1e162-8554-4a9a-b348-c26d111dc2b3 · outbound

This paper cites Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) , year =.

FAS-R1: A Unified Multi-Task MLLM for Reasoning Face Anti-Spoofing Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) , year =

Reference 39

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source=arxiv_source observed=2026-08-01T16:07:55.031106Z digest=sha256:cea25cf79eca1540a7b22f56866233db67a878a9149cd97b5d65765962b89fd6

Observation e62fefe1-3396-40f8-ac26-8002926bb473 · outbound

This paper cites Towards Data-Centric Face Anti-Spoofing: Improving Cross-domain Generalization via Physics-based Data Synthesis.

FAS-R1: A Unified Multi-Task MLLM for Reasoning Face Anti-Spoofing Towards Data-Centric Face Anti-Spoofing: Improving Cross-domain Generalization via Physics-based Data Synthesis

Reference 40

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source=arxiv_source observed=2026-08-01T16:07:55.033362Z digest=sha256:4050662c17fccc71d074e30113e8082cd1cc8f24483e96afece6095dc98d619e

Observation ed486551-013f-44db-a936-33d2f33d3f2b · outbound

This paper cites SPHINX: The Joint Mixing of Weights, Tasks, and Visual Embeddings for Multi-modal Large Language Models.

FAS-R1: A Unified Multi-Task MLLM for Reasoning Face Anti-Spoofing SPHINX: The Joint Mixing of Weights, Tasks, and Visual Embeddings for Multi-modal Large Language Models

Reference 41

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source=arxiv_source observed=2026-08-01T16:07:55.036155Z digest=sha256:18aa519b81fa4feb98c177af1c4acc85234253205386f6a56757e0ec2527a2bc

Observation c79cf921-f381-4c26-87c0-6485d17108cc · outbound

This paper cites International Conference on Learning Representations (ICLR) , year =.

FAS-R1: A Unified Multi-Task MLLM for Reasoning Face Anti-Spoofing International Conference on Learning Representations (ICLR) , year =

Reference 42

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source=arxiv_source observed=2026-08-01T16:07:55.038693Z digest=sha256:653607e4859333845bdd06f42e20defb3def21663fca0ed436bc238a2f6cf611

Observation 57a41fee-814d-4a09-be60-165f49859d1e · outbound

This paper cites Proceedings of the AAAI Conference on Artificial Intelligence , volume=.

FAS-R1: A Unified Multi-Task MLLM for Reasoning Face Anti-Spoofing Proceedings of the AAAI Conference on Artificial Intelligence , volume=

Reference 43

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source=arxiv_source observed=2026-08-01T16:07:55.041032Z digest=sha256:a4ede5e7d54cac1f5a35ad994ea9c51943d2764c8395866dfcb70616a1e322f8

Observation c9786ba6-4e05-4145-982b-91d1c6a930b3 · outbound

This paper cites 2026 , eprint =.

FAS-R1: A Unified Multi-Task MLLM for Reasoning Face Anti-Spoofing 2026 , eprint =

Reference 44

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source=arxiv_source observed=2026-08-01T16:07:55.043288Z digest=sha256:0f655eca194bf996c3ad62442330e17a6caf09913d1ec0d13e3753529a608c74

Observation 638805bd-981b-443d-a209-170aa496648a · outbound

This paper cites 2025 , eprint =.

FAS-R1: A Unified Multi-Task MLLM for Reasoning Face Anti-Spoofing 2025 , eprint =

Reference 45

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source=arxiv_source observed=2026-08-01T16:07:55.045736Z digest=sha256:758308448eabbb5002a7f88c85989368537b4e653dc967da14eedb20b706b3aa

Observation 84b7de7a-5ebc-4d0a-a268-2f933ad25fb3 · outbound

This paper cites 2025 , eprint =.

FAS-R1: A Unified Multi-Task MLLM for Reasoning Face Anti-Spoofing 2025 , eprint =

Reference 46

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no resolver link, observed 2026-08-01T16:07:55.048331Z

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source=arxiv_source observed=2026-08-01T16:07:55.048331Z digest=sha256:fa165787f3a57ce05a779f339bce32aa65f515f08a790a8b57b3e666af1d3960

Observation 8e2cf151-b262-41d2-8e8e-e26969c7160a · outbound

This paper cites 2025 , eprint =.

FAS-R1: A Unified Multi-Task MLLM for Reasoning Face Anti-Spoofing 2025 , eprint =

Reference 47

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source=arxiv_source observed=2026-08-01T16:07:55.050674Z digest=sha256:0165c3cf2ddea78a1f7eb4b76ad588a5bb42cc578e05806c42e838f791e06669

Observation ec7e31f7-6a90-4cbe-841d-04bc35a15e85 · outbound

This paper cites 2026 , eprint =.

FAS-R1: A Unified Multi-Task MLLM for Reasoning Face Anti-Spoofing 2026 , eprint =

Reference 48

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source=arxiv_source observed=2026-08-01T16:07:55.053132Z digest=sha256:16be2e3990bdf353a515c2fe30c1f731119b56d8e806e05a2d1368e9633df3e6

Observation 48d30dbb-2d97-48c7-9cf5-035ba851e134 · outbound

This paper cites Advances in Neural Information Processing Systems (NeurIPS) , year =.

FAS-R1: A Unified Multi-Task MLLM for Reasoning Face Anti-Spoofing Advances in Neural Information Processing Systems (NeurIPS) , year =

Reference 49

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source=arxiv_source observed=2026-08-01T16:07:55.055611Z digest=sha256:eb6bbf723fe8e32b3de857efc662b8758a63e5a7663cad2d6cfb6dae58999383

Observation b7399100-307f-49e3-b7f3-89f6e454588e · outbound

This paper cites Advances in Neural Information Processing Systems (NeurIPS) , year =.

FAS-R1: A Unified Multi-Task MLLM for Reasoning Face Anti-Spoofing Advances in Neural Information Processing Systems (NeurIPS) , year =

Reference 50

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source=arxiv_source observed=2026-08-01T16:07:55.058044Z digest=sha256:5d04815085c352f3ad73c6d9ebcc2b37526b750122406daeb8d4b4c00a61f876

Observation f5c935be-4bf7-476b-8ba5-07b515eaaca8 · outbound

This paper cites International Conference on Learning Representations (ICLR) , year =.

FAS-R1: A Unified Multi-Task MLLM for Reasoning Face Anti-Spoofing International Conference on Learning Representations (ICLR) , year =

Reference 51

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source=arxiv_source observed=2026-08-01T16:07:55.060474Z digest=sha256:c4d8180d0ffa48a12111237f84c79724e36269f7abade62dca63c02edce0c207

Observation 7f358fb7-b3e3-4dcd-a856-e9b758f13b79 · outbound

This paper cites Advances in Neural Information Processing Systems (NeurIPS) , year =.

FAS-R1: A Unified Multi-Task MLLM for Reasoning Face Anti-Spoofing Advances in Neural Information Processing Systems (NeurIPS) , year =

Reference 52

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source=arxiv_source observed=2026-08-01T16:07:55.062630Z digest=sha256:98d41c21e7768183c9e3b87a603f7730bcd48c7dcdb5c08c6fa300fc6669ef19

Observation 9ed3fb57-1f6f-42e3-b02d-746f6f208426 · outbound

This paper cites Advances in Neural Information Processing Systems (NeurIPS) , year =.

FAS-R1: A Unified Multi-Task MLLM for Reasoning Face Anti-Spoofing Advances in Neural Information Processing Systems (NeurIPS) , year =

Reference 53

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no resolver link, observed 2026-08-01T16:07:55.065292Z

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source=arxiv_source observed=2026-08-01T16:07:55.065292Z digest=sha256:3d476723f2408e677f5ac02a3ca19d8b09628951f7becd24da5479cd09fc7dff

Observation 938bd4c2-ae3b-4084-aba0-204fede35c38 · outbound

This paper cites 2025 , eprint =.

FAS-R1: A Unified Multi-Task MLLM for Reasoning Face Anti-Spoofing 2025 , eprint =

Reference 54

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source=arxiv_source observed=2026-08-01T16:07:55.068145Z digest=sha256:97a44136cf405ce869bd9a4beaa28678d3b60e0880afff7239c2e5debf9ab414

Observation bbf431c7-c210-4775-b5b8-5b723a7939f1 · outbound

This paper cites 2025 , eprint =.

FAS-R1: A Unified Multi-Task MLLM for Reasoning Face Anti-Spoofing 2025 , eprint =

Reference 55

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source=arxiv_source observed=2026-08-01T16:07:55.070637Z digest=sha256:42107c7d46dae758f8ec5d080929aa3e8fbe76cf711bff56fed55d2a82bcc72c

Observation bb91627d-d338-4e56-8eef-4f3a6cd82472 · outbound

This paper cites 2025 , eprint =.

FAS-R1: A Unified Multi-Task MLLM for Reasoning Face Anti-Spoofing 2025 , eprint =

Reference 56

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source=arxiv_source observed=2026-08-01T16:07:55.073233Z digest=sha256:4d13f42394a3715da034f64ed736cae7e1531b4f806667e2f93207f39037e17f

Observation 6b44612c-fac9-424e-94f1-ce5abd6dbdb5 · outbound

This paper cites 2025 , eprint =.

FAS-R1: A Unified Multi-Task MLLM for Reasoning Face Anti-Spoofing 2025 , eprint =

Reference 57

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source=arxiv_source observed=2026-08-01T16:07:55.076819Z digest=sha256:847fee5976653e833681df9f6a49b635abd604d331a02b06933347412dfd2636

Observation a02fc6a5-bf87-4b95-b80d-9efb98b46184 · outbound

This paper cites IEEE transactions on pattern analysis and machine intelligence , volume=.

FAS-R1: A Unified Multi-Task MLLM for Reasoning Face Anti-Spoofing IEEE transactions on pattern analysis and machine intelligence , volume=

Reference 58

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source=arxiv_source observed=2026-08-01T16:07:55.079216Z digest=sha256:282f43d893573d2d2116c592d39ce7d12b56e43a0b817f9b8eaa2119b00b594c

Observation 0ac54fcc-879a-4732-9140-dbbc55b70ded · outbound

This paper cites Computers, Materials & Continua , year =.

FAS-R1: A Unified Multi-Task MLLM for Reasoning Face Anti-Spoofing Computers, Materials & Continua , year =

Reference 59

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source=arxiv_source observed=2026-08-01T16:07:55.081506Z digest=sha256:7faddb05e1e884a6e35da1a0c8ea964dd9ede90bcbe044f82c995a21739abd31

Observation 6881b591-94d9-4302-a93a-95edfe8a0b4d · outbound

This paper cites IEEE International Conference on Image Processing (ICIP) , pages =.

FAS-R1: A Unified Multi-Task MLLM for Reasoning Face Anti-Spoofing IEEE International Conference on Image Processing (ICIP) , pages =

Reference 60

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source=arxiv_source observed=2026-08-01T16:07:55.083888Z digest=sha256:3bf7958bf6c8919bcd05feb64fa7ff1cf9ab2e7fad637d19438f6b9fbe41bd88

Observation d97bbaa6-4a31-4b1d-97e9-d5cbc9d5e380 · outbound

This paper cites International Joint Conference on Biometrics (IJCB) , pages =.

FAS-R1: A Unified Multi-Task MLLM for Reasoning Face Anti-Spoofing International Joint Conference on Biometrics (IJCB) , pages =

Reference 61

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source=arxiv_source observed=2026-08-01T16:07:55.086375Z digest=sha256:642a79df736c0e64e70d38ae4db9d326f58a52694a611b1a2f1148e3bfcc697c

Observation bea23177-90de-4d55-9c36-cff647e27a71 · outbound

This paper cites International Conference on Biometrics (ICB) , year =.

FAS-R1: A Unified Multi-Task MLLM for Reasoning Face Anti-Spoofing International Conference on Biometrics (ICB) , year =

Reference 62

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source=arxiv_source observed=2026-08-01T16:07:55.089009Z digest=sha256:88d1c6be55c250af244dcad133c08e907403451f2ef28307b87ebacb31a5a822

Observation 58658b57-8f09-4525-ae94-ec3985c1ca0c · outbound

This paper cites Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) , pages =.

FAS-R1: A Unified Multi-Task MLLM for Reasoning Face Anti-Spoofing Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) , pages =

Reference 63

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source=arxiv_source observed=2026-08-01T16:07:55.091554Z digest=sha256:6c7d8d16798a00aaf5206936b2d7d379b8b572f1c724e8d6ec646e7552e0e9ab

Observation 86e556ff-ecaa-4a4f-a2b1-dd874465b112 · outbound

This paper cites Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) , year =.

FAS-R1: A Unified Multi-Task MLLM for Reasoning Face Anti-Spoofing Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) , year =

Reference 64

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source=arxiv_source observed=2026-08-01T16:07:55.094381Z digest=sha256:b43b977aaa578966fe22b7972e06d8df1def1bdeb7d3eb755517f1cb6a54589c

Observation f004ec87-6de4-4826-b252-ec2aa64bba45 · outbound

This paper cites IEEE Transactions on Information Forensics and Security , volume =.

FAS-R1: A Unified Multi-Task MLLM for Reasoning Face Anti-Spoofing IEEE Transactions on Information Forensics and Security , volume =

Reference 65

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source=arxiv_source observed=2026-08-01T16:07:55.097002Z digest=sha256:106e24cddc6cca7daf8e2b6465e62e6446eb5a80285aad95f81388c41f8010b1

Observation de16c058-eef1-422c-8261-2b7e75b659b0 · outbound

This paper cites Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) , year =.

FAS-R1: A Unified Multi-Task MLLM for Reasoning Face Anti-Spoofing Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) , year =

Reference 66

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no resolver link, observed 2026-08-01T16:07:55.099679Z

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source=arxiv_source observed=2026-08-01T16:07:55.099679Z digest=sha256:9018e060e01c69788ea827eff75624409434bd58d7ad9a3b2b5aabdec08f1d28

Observation 6857f02e-2fc5-414b-b626-ed1fccd20aed · outbound

This paper cites Multi-domain Learning for Updating Face Anti-spoofing Models.

FAS-R1: A Unified Multi-Task MLLM for Reasoning Face Anti-Spoofing Multi-domain Learning for Updating Face Anti-spoofing Models

Reference 67

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source=arxiv_source observed=2026-08-01T16:07:55.102566Z digest=sha256:6c8dbfbb55e4a95cf0d63a1ef696b6da0ffeca2a49483f0df1ee7875edbfacb3

Observation d8662a79-738f-4f4b-bb32-73f7b0c41785 · outbound

This paper cites 2025 , howpublished =.

FAS-R1: A Unified Multi-Task MLLM for Reasoning Face Anti-Spoofing 2025 , howpublished =

Reference 68

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source=arxiv_source observed=2026-08-01T16:07:55.105454Z digest=sha256:1ba2a8bc5882c84dfc6285fe256e4674264598f068795f5abe1fb480da175916

Observation 6a03998a-029c-4964-87a9-7e35037338ac · outbound

This paper cites 2025 , howpublished =.

FAS-R1: A Unified Multi-Task MLLM for Reasoning Face Anti-Spoofing 2025 , howpublished =

Reference 69

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no resolver link, observed 2026-08-01T16:07:55.107999Z

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source=arxiv_source observed=2026-08-01T16:07:55.107999Z digest=sha256:555524189d395d58bb47f6b1f9c8b7cad2e1e65448d589ca540b6ad9a2663f9f

Observation a316b354-6e85-4ade-8466-03b4c7535df9 · outbound

This paper cites Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing , year =.

FAS-R1: A Unified Multi-Task MLLM for Reasoning Face Anti-Spoofing Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing , year =

Reference 70

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source=arxiv_source observed=2026-08-01T16:07:55.110751Z digest=sha256:8312170fa0e6f4f2498b42d961bd86f53849f5b8318f4df7247247f7f4965e11

Observation 6a40d64b-2108-472b-90bb-5ae53ac161dd · outbound

This paper cites SHIELD : An Evaluation Benchmark for Face Spoofing and Forgery Detection with Multimodal Large Language Models.

FAS-R1: A Unified Multi-Task MLLM for Reasoning Face Anti-Spoofing SHIELD : An Evaluation Benchmark for Face Spoofing and Forgery Detection with Multimodal Large Language Models

Reference 71

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source=arxiv_source observed=2026-08-01T16:07:55.113126Z digest=sha256:eed437fcea3d245ffb2db41d19246eee8761682e00b08b9762d70988b2aae2d3

Observation 80a8e135-9b0f-4999-8a50-cba8b46db597 · outbound

This paper cites 2026 , eprint =.

FAS-R1: A Unified Multi-Task MLLM for Reasoning Face Anti-Spoofing 2026 , eprint =

Reference 72

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source=arxiv_source observed=2026-08-01T16:07:55.116041Z digest=sha256:80fb418cd6f43a3d7ae9c499e0693ab5a7f9dc64a55c079f20bc83e164534aa0

Observation 8dbe79f0-b1b6-4d49-85fd-b2ef4e688c97 · outbound

This paper cites Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) , year =.

FAS-R1: A Unified Multi-Task MLLM for Reasoning Face Anti-Spoofing Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) , year =

Reference 73

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source=arxiv_source observed=2026-08-01T16:07:55.118552Z digest=sha256:06ada282302ef7453e544718918a641645f5f19666ebcbde7192c7d3b5daef77

Observation d0c54c9e-5e73-4668-98be-0fb60d8f139c · outbound

This paper cites Gradient Alignment for Cross-Domain Face Anti-Spoofing.

FAS-R1: A Unified Multi-Task MLLM for Reasoning Face Anti-Spoofing Gradient Alignment for Cross-Domain Face Anti-Spoofing

Reference 74

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no resolver link, observed 2026-08-01T16:07:55.120824Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T16:07:55.120824Z digest=sha256:b0b4d0d901c4700c3840fb33e2b16f66ece99b318c6fffd849bbd9eb0e83a593

Observation c9ba3792-3f64-4edf-95af-28c8be33e2e9 · outbound

This paper cites Proceedings of the AAAI Conference on Artificial Intelligence , year =.

FAS-R1: A Unified Multi-Task MLLM for Reasoning Face Anti-Spoofing Proceedings of the AAAI Conference on Artificial Intelligence , year =

Reference 75

Resolution
unresolved
no resolver link, observed 2026-08-01T16:07:55.123370Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T16:07:55.123370Z digest=sha256:b012c5d77a7a3912839b831e063491d8ca7b6770c1e5c0de01a9d4bb60b8bb95

Observation 091317fe-20e4-4b2e-b463-4d18fa3056da · outbound

This paper cites 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) , pages=.

FAS-R1: A Unified Multi-Task MLLM for Reasoning Face Anti-Spoofing 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) , pages=

Reference 76

Resolution
unresolved
no resolver link, observed 2026-08-01T16:07:55.125952Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T16:07:55.125952Z digest=sha256:c2ed823ab7c2abaee83d8274f6a1fc59df1ab8b0e83efae27a67f1addf693125

Observation 17a624a3-11ee-4900-b243-1ff1ed1efdab · outbound

This paper cites Reinforcement Learning with Augmented Data.

FAS-R1: A Unified Multi-Task MLLM for Reasoning Face Anti-Spoofing Reinforcement Learning with Augmented Data

Reference 77

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no resolver link, observed 2026-08-01T16:07:55.128283Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T16:07:55.128283Z digest=sha256:c040a6457fb2ea9e1b6ce88476a915a5b40d8f06853370eebcb7ecf6300a106e

Observation d5daafa2-350c-4c67-82cd-1898c9659c95 · outbound

This paper cites Proceedings of the IEEE/CVF International Conference on Computer Vision , pages =.

FAS-R1: A Unified Multi-Task MLLM for Reasoning Face Anti-Spoofing Proceedings of the IEEE/CVF International Conference on Computer Vision , pages =

Reference 78

Resolution
unresolved
no resolver link, observed 2026-08-01T16:07:55.130897Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T16:07:55.130897Z digest=sha256:1e343a9e11dc39c7a348b5e1f8c274612758bffe2c3e84dd0096c12a4b62e02a

Observation bf4ade21-626d-4c98-b4aa-ed3fae8a1ce8 · outbound

This paper cites International Conference on Learning Representations , year =.

FAS-R1: A Unified Multi-Task MLLM for Reasoning Face Anti-Spoofing International Conference on Learning Representations , year =

Reference 79

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unresolved
no resolver link, observed 2026-08-01T16:07:55.133708Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T16:07:55.133708Z digest=sha256:0e1016c45df1af37a07aa711b69cd322f3dcac2cd4611c08a0d18d60cba841b5

Observation e3e030de-42a8-4dd6-9af3-3589c1e83731 · outbound

This paper cites arXiv preprint arXiv:2602.21743 , year =.

FAS-R1: A Unified Multi-Task MLLM for Reasoning Face Anti-Spoofing arXiv preprint arXiv:2602.21743 , year =

Reference 80

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unresolved
no resolver link, observed 2026-08-01T16:07:55.136564Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T16:07:55.136564Z digest=sha256:73fcd2ecd2934253974155613ddf572bc31e08335135c6dd246372ecb499c357

Observation 64129664-fe9b-4b92-a5b8-2627a3976f90 · outbound

This paper cites an unresolved cited work.

FAS-R1: A Unified Multi-Task MLLM for Reasoning Face Anti-Spoofing Unresolved cited work

Reference 81

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unresolved
no resolver link, observed 2026-08-01T16:07:55.139190Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T16:07:55.139190Z digest=sha256:ad25259d1778ddc97ffdf3526825ec118543cd6bdfe654acef907672f57bdad7

Observation 32034564-b2e0-45cb-b911-ef534fa9445b · outbound

This paper cites Group Sequence Policy Optimization.

FAS-R1: A Unified Multi-Task MLLM for Reasoning Face Anti-Spoofing Group Sequence Policy Optimization

Reference 82

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unresolved
no resolver link, observed 2026-08-01T16:07:55.141616Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T16:07:55.141616Z digest=sha256:8df190c6fe4feafe1996d25050f6f4473a30232b05a340fd1b3961f9597f7dbf

Pith citing papers

No inbound Pith citation observations are available.