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Paper Citation Record · LEDGER

Test-Time Noise Guided Adaptation for Realistic Autoregressive Video Generation

As of 19 August 2026, this Paper Citation Record lists 67 of 67 outbound references and 0 inbound Pith citation observations for arXiv:2607.15849.

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

pith.paper-citation-record.v1
2607.15849 v1

Coverage vector

measured 67 of 67 reference resolution

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Source: paper_references, paper_reference_links, observed 2026-08-01T22:13:31.328783Z

measured 67 of 67 standing notices

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Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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measured 0 of 1 external citation measurements

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67 of 67 outbound references displayed

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Outbound references

Observation 77ea84e4-6701-44e5-b187-717b8dd36188 · outbound

This paper cites Cosmos World Foundation Model Platform for Physical AI.

Test-Time Noise Guided Adaptation for Realistic Autoregressive Video Generation Cosmos World Foundation Model Platform for Physical AI

Reference 1

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Observation 68f7940c-016a-476e-892b-bca664ee9e6b · outbound

This paper cites World Simulation with Video Foundation Models for Physical AI.

Test-Time Noise Guided Adaptation for Realistic Autoregressive Video Generation World Simulation with Video Foundation Models for Physical AI

Reference 2

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Observation eb900f30-a069-4228-bc30-da117065143b · outbound

This paper cites In: SIGGRAPH Asia 2024 Conference Papers.

Test-Time Noise Guided Adaptation for Realistic Autoregressive Video Generation In: SIGGRAPH Asia 2024 Conference Papers

Reference 3

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Observation 6bb719fd-3399-4096-a43b-5f9b7a915332 · outbound

This paper cites In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition.

Test-Time Noise Guided Adaptation for Realistic Autoregressive Video Generation In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition

Reference 4

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Observation 791916a0-4e5d-435f-a9b6-a332ce1e44aa · outbound

This paper cites an unresolved cited work.

Test-Time Noise Guided Adaptation for Realistic Autoregressive Video Generation Unresolved cited work

Reference 5

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Observation a91316ef-6671-4088-b86d-22c0d68b26b9 · outbound

This paper cites SkyReels-V2: Infinite-length Film Generative Model.

Test-Time Noise Guided Adaptation for Realistic Autoregressive Video Generation SkyReels-V2: Infinite-length Film Generative Model

Reference 6

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Observation 7bfaf9d8-fc20-417a-b879-5a18df4988ee · outbound

This paper cites In: European Conference on Computer Vision.

Test-Time Noise Guided Adaptation for Realistic Autoregressive Video Generation In: European Conference on Computer Vision

Reference 7

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Observation fb58373b-43b4-412d-9e7a-df048aacb6a7 · outbound

This paper cites In: International Conference on Learning Representations (ICLR) (2023).

Test-Time Noise Guided Adaptation for Realistic Autoregressive Video Generation In: International Conference on Learning Representations (ICLR) (2023)

Reference 8

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Observation d5c557b0-fc38-4a2a-936d-d190896fa201 · outbound

This paper cites Adversarial Video Generation on Complex Datasets.

Test-Time Noise Guided Adaptation for Realistic Autoregressive Video Generation Adversarial Video Generation on Complex Datasets

Reference 9

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Observation 4ddd85bb-5752-44c8-b864-5ae56256893f · outbound

This paper cites IEEE transactions on pattern analysis and machine intelligence45(9), 10850–10869 (2023).

Test-Time Noise Guided Adaptation for Realistic Autoregressive Video Generation IEEE transactions on pattern analysis and machine intelligence45(9), 10850–10869 (2023)

Reference 10

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Observation ae4aa7b3-4bf7-435e-b08f-41fa0d6bfbab · outbound

This paper cites arXiv preprint arXiv:2601.16914 (2026).

Test-Time Noise Guided Adaptation for Realistic Autoregressive Video Generation arXiv preprint arXiv:2601.16914 (2026)

Reference 11

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Observation 9a896bf4-d0e5-4d3b-abc8-18e1e7e80302 · outbound

This paper cites In: International Conference on Learning Representations (ICLR) (2024).

Test-Time Noise Guided Adaptation for Realistic Autoregressive Video Generation In: International Conference on Learning Representations (ICLR) (2024)

Reference 12

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Observation 2a725397-f5e4-4a54-9cc2-67d7645cf392 · outbound

This paper cites In: International Conference on Learning Representations (ICLR) (2025).

Test-Time Noise Guided Adaptation for Realistic Autoregressive Video Generation In: International Conference on Learning Representations (ICLR) (2025)

Reference 13

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Observation 18cdd538-961f-4091-b262-c1e85730159d · outbound

This paper cites ACM Computing Surveys58(3), 1–38 (2025).

Test-Time Noise Guided Adaptation for Realistic Autoregressive Video Generation ACM Computing Surveys58(3), 1–38 (2025)

Reference 14

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Observation 3883195d-7f4c-437d-8a39-e1da1fc46f79 · outbound

This paper cites Journal of the Optical Society of America A4(12), 2379–2394 (1987) Test-Time Noise Guided Adaptation for Realistic Video Generation 17.

Test-Time Noise Guided Adaptation for Realistic Autoregressive Video Generation Journal of the Optical Society of America A4(12), 2379–2394 (1987) Test-Time Noise Guided Adaptation for Realistic Video Generation 17

Reference 15

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Observation 1c912c72-2d8c-47bb-b5bb-dcecf9a119e3 · outbound

This paper cites IEEE Transactions on Acoustics, Speech, and Signal Processing22(3), 207–217 (1974).

Test-Time Noise Guided Adaptation for Realistic Autoregressive Video Generation IEEE Transactions on Acoustics, Speech, and Signal Processing22(3), 207–217 (1974)

Reference 16

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Observation e7c4b78a-0b40-42e5-b777-444d423b82b7 · outbound

This paper cites In: Proceedings of the Computer Vision and Pattern Recognition Conference.

Test-Time Noise Guided Adaptation for Realistic Autoregressive Video Generation In: Proceedings of the Computer Vision and Pattern Recognition Conference

Reference 17

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Observation 9d42c0b7-7da6-4bdd-babb-3d8fa9b0533d · outbound

This paper cites Advances in neural information processing systems33, 6840–6851 (2020).

Test-Time Noise Guided Adaptation for Realistic Autoregressive Video Generation Advances in neural information processing systems33, 6840–6851 (2020)

Reference 18

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Observation 3eb5222c-e826-49d6-a4e2-f4e37c9dd8f6 · outbound

This paper cites Advances in neural information processing systems35, 8633–8646 (2022).

Test-Time Noise Guided Adaptation for Realistic Autoregressive Video Generation Advances in neural information processing systems35, 8633–8646 (2022)

Reference 19

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Observation d89cad47-31f3-4a36-a4b4-0c038685b531 · outbound

This paper cites International Conference on Learning Representations (ICLR) (2022).

Test-Time Noise Guided Adaptation for Realistic Autoregressive Video Generation International Conference on Learning Representations (ICLR) (2022)

Reference 20

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Observation ad9a5215-2f90-4bf3-8801-5b486d04a6ec · outbound

This paper cites IEEE transactions on pattern analysis and machine intelligence43(5), 1562–1577 (2019).

Test-Time Noise Guided Adaptation for Realistic Autoregressive Video Generation IEEE transactions on pattern analysis and machine intelligence43(5), 1562–1577 (2019)

Reference 21

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Observation d5d7fcbd-8102-456e-87a3-60eb16fffe31 · outbound

This paper cites In: Advances in Neural Information Processing Systems (NeurIPS) (2025).

Test-Time Noise Guided Adaptation for Realistic Autoregressive Video Generation In: Advances in Neural Information Processing Systems (NeurIPS) (2025)

Reference 22

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Observation 6bb88e56-531e-488a-be86-a108384c84ae · outbound

This paper cites In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition.

Test-Time Noise Guided Adaptation for Realistic Autoregressive Video Generation In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition

Reference 23

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Observation e9edd5f9-b2a6-4988-9c81-d2c6b052996b · outbound

This paper cites In: International Conference on Machine Learning (ICML) (2026).

Test-Time Noise Guided Adaptation for Realistic Autoregressive Video Generation In: International Conference on Machine Learning (ICML) (2026)

Reference 24

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Observation 8ec4f3f6-3d63-4ac8-85a5-d512d64ccc3b · outbound

This paper cites In: Uncertainty in Artificial Intelligence (UAI) (2025).

Test-Time Noise Guided Adaptation for Realistic Autoregressive Video Generation In: Uncertainty in Artificial Intelligence (UAI) (2025)

Reference 25

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Observation bc2aa4ff-cf08-4f0f-aea7-a235714f9548 · outbound

This paper cites Advances in Neural Information Processing Systems37, 89834–89868 (2024).

Test-Time Noise Guided Adaptation for Realistic Autoregressive Video Generation Advances in Neural Information Processing Systems37, 89834–89868 (2024)

Reference 26

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Observation 44acc641-1ed4-422c-97b3-80084e7de93a · outbound

This paper cites In: International Conference on Learning Representations (ICLR) (2025).

Test-Time Noise Guided Adaptation for Realistic Autoregressive Video Generation In: International Conference on Learning Representations (ICLR) (2025)

Reference 27

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Observation 60b1bc52-ab52-41c6-9741-9954614dac93 · outbound

This paper cites Advances in neural information processing systems34, 21696–21707 (2021).

Test-Time Noise Guided Adaptation for Realistic Autoregressive Video Generation Advances in neural information processing systems34, 21696–21707 (2021)

Reference 28

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Observation 9ecccbe1-b287-4c18-8916-e4bed2c2dbfe · outbound

This paper cites In: International Conference on Learning Representations (ICLR) (2014).

Test-Time Noise Guided Adaptation for Realistic Autoregressive Video Generation In: International Conference on Learning Representations (ICLR) (2014)

Reference 29

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Observation 7f5075be-0fe6-4f1b-bb00-fc7e7f534bf8 · outbound

This paper cites In: International Conference on Machine Learning (ICML) (2024).

Test-Time Noise Guided Adaptation for Realistic Autoregressive Video Generation In: International Conference on Machine Learning (ICML) (2024)

Reference 30

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Observation c2a85bfb-b61e-4356-b608-70fd666ce7ad · outbound

This paper cites HunyuanVideo: A Systematic Framework For Large Video Generative Models.

Test-Time Noise Guided Adaptation for Realistic Autoregressive Video Generation HunyuanVideo: A Systematic Framework For Large Video Generative Models

Reference 31

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This paper cites arXiv preprint arXiv:2510.09212 (2025) 18 Karageorgiou et al.

Test-Time Noise Guided Adaptation for Realistic Autoregressive Video Generation arXiv preprint arXiv:2510.09212 (2025) 18 Karageorgiou et al

Reference 32

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This paper cites In: International Conference on Learning Representations (ICLR) (2023).

Test-Time Noise Guided Adaptation for Realistic Autoregressive Video Generation In: International Conference on Learning Representations (ICLR) (2023)

Reference 33

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This paper cites In: International Conference on Learning Representations (ICLR) (2026).

Test-Time Noise Guided Adaptation for Realistic Autoregressive Video Generation In: International Conference on Learning Representations (ICLR) (2026)

Reference 34

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Observation e71d692e-d21b-4747-aae0-a377bd753048 · outbound

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

Test-Time Noise Guided Adaptation for Realistic Autoregressive Video Generation In: International Conference on Learning Representations (ICLR) (2019)

Reference 35

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This paper cites Advances in Neural Information Processing Systems37, 131434–131455 (2024).

Test-Time Noise Guided Adaptation for Realistic Autoregressive Video Generation Advances in Neural Information Processing Systems37, 131434–131455 (2024)

Reference 36

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Observation 2a64d069-e908-4cf2-a7b1-95e8ef06b7ac · outbound

This paper cites In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition.

Test-Time Noise Guided Adaptation for Realistic Autoregressive Video Generation In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition

Reference 37

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Observation 767808e2-f549-49f2-8bf7-c502650d9104 · outbound

This paper cites Electronics letters45(23), 1195–1196 (2009).

Test-Time Noise Guided Adaptation for Realistic Autoregressive Video Generation Electronics letters45(23), 1195–1196 (2009)

Reference 38

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Observation 945104dd-d78a-40cf-aed7-83a1ce6813ec · outbound

This paper cites arXiv preprint arXiv:2501.08219 (2025).

Test-Time Noise Guided Adaptation for Realistic Autoregressive Video Generation arXiv preprint arXiv:2501.08219 (2025)

Reference 39

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source=pdf_text observed=2026-08-01T22:13:28.469023Z digest=sha256:10ef9d298348094d14bf6aa7449b2bd0014d500abebc5b6fb2b85c3767a1a83a

Observation bd9de86b-2d05-468b-8222-7f3eba3f671b · outbound

This paper cites Advances in Neural Information Processing Systems37, 63858–63872 (2024).

Test-Time Noise Guided Adaptation for Realistic Autoregressive Video Generation Advances in Neural Information Processing Systems37, 63858–63872 (2024)

Reference 40

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source=pdf_text observed=2026-08-01T22:13:28.565679Z digest=sha256:9bfe84c7a1daa3e606c12e39a88376609f9e0d174b5da5caca879cb8ea43f71a

Observation 31eca553-1b79-4eaa-bbc1-6da2c391eae2 · outbound

This paper cites Advances in Neural Information Processing Systems36, 50358–50376 (2023).

Test-Time Noise Guided Adaptation for Realistic Autoregressive Video Generation Advances in Neural Information Processing Systems36, 50358–50376 (2023)

Reference 41

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source=pdf_text observed=2026-08-01T22:13:28.644631Z digest=sha256:4b9f2fda1785a5294729ce8b15a5ef3073417902ea3d25c34f30dfac7aedfd30

Observation f0a30a76-b892-45c6-b6f4-4709f342f52e · outbound

This paper cites In: Proceedings of the IEEE/CVF international conference on computer vision.

Test-Time Noise Guided Adaptation for Realistic Autoregressive Video Generation In: Proceedings of the IEEE/CVF international conference on computer vision

Reference 42

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source=pdf_text observed=2026-08-01T22:13:28.747727Z digest=sha256:ba132af27e29308c8de0ca30ca507327c9b14327747609d6b18ab2e387d9a93a

Observation 534f4892-8d08-48be-abce-f5a70dbc926e · outbound

This paper cites FreeNoise: Tuning-Free Longer Video Diffusion via Noise Rescheduling.

Test-Time Noise Guided Adaptation for Realistic Autoregressive Video Generation FreeNoise: Tuning-Free Longer Video Diffusion via Noise Rescheduling

Reference 43

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source=pdf_text observed=2026-08-01T22:13:28.853944Z digest=sha256:a7547fb0f7fe64fe54f84bc4e9523d83be15e04b38cebff87101f20c3141332c

Observation 81e65658-d214-4cd8-ab68-9903390903dd · outbound

This paper cites arXiv preprint arXiv:2510.07940 (2025).

Test-Time Noise Guided Adaptation for Realistic Autoregressive Video Generation arXiv preprint arXiv:2510.07940 (2025)

Reference 44

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source=pdf_text observed=2026-08-01T22:13:29.005904Z digest=sha256:299fed60dff4455a87090305ddc4b2b345b86eef780ee2b61e0915a72886fa2e

Observation d8da5bdc-3d3e-47ef-b5d6-8054b9b8c122 · outbound

This paper cites In: International Conference on Medical image computing and computer-assisted intervention.

Test-Time Noise Guided Adaptation for Realistic Autoregressive Video Generation In: International Conference on Medical image computing and computer-assisted intervention

Reference 45

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source=pdf_text observed=2026-08-01T22:13:29.108511Z digest=sha256:ec65a74d73ee91576bf289f2b44424738918a85e45db1c6cfcf72104d1f2af8e

Observation 6a694b2e-e7b3-4c95-8fff-881d18b1ebc8 · outbound

This paper cites In: International Conference on Learning Representations (ICLR) (2023).

Test-Time Noise Guided Adaptation for Realistic Autoregressive Video Generation In: International Conference on Learning Representations (ICLR) (2023)

Reference 46

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Observation dd2331b5-6780-47e7-94b8-10abc2970566 · outbound

This paper cites In: International Conference on Learning Representations (ICLR) (2021).

Test-Time Noise Guided Adaptation for Realistic Autoregressive Video Generation In: International Conference on Learning Representations (ICLR) (2021)

Reference 47

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Observation 18bae2d7-d8f4-4609-a336-1310dd776e40 · outbound

This paper cites an unresolved cited work.

Test-Time Noise Guided Adaptation for Realistic Autoregressive Video Generation Unresolved cited work

Reference 48

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source=pdf_text observed=2026-08-01T22:13:29.425697Z digest=sha256:168928a029d1d8789b0cae3c09d6ad890495f29b2f7ed42ef3c58c78c255f01b

Observation fc7ce599-c03a-4dd3-acd0-3a22249b7392 · outbound

This paper cites In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition.

Test-Time Noise Guided Adaptation for Realistic Autoregressive Video Generation In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition

Reference 49

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Observation 8114e829-ce52-4149-83d8-fccbccd495e4 · outbound

This paper cites In: Proceedings of the IEEE conference on computer vision and pattern recognition.

Test-Time Noise Guided Adaptation for Realistic Autoregressive Video Generation In: Proceedings of the IEEE conference on computer vision and pattern recognition

Reference 50

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Observation e360636a-db92-4f10-a76a-ab15b12864c8 · outbound

This paper cites In: Deep Generative Models for Highly Structured Data, ICLR 2019 Workshop (2019).

Test-Time Noise Guided Adaptation for Realistic Autoregressive Video Generation In: Deep Generative Models for Highly Structured Data, ICLR 2019 Workshop (2019)

Reference 51

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Observation f84d2af8-677a-4095-934e-973048658289 · outbound

This paper cites In: International Conference on Learning Representations (ICLR) (2023).

Test-Time Noise Guided Adaptation for Realistic Autoregressive Video Generation In: International Conference on Learning Representations (ICLR) (2023)

Reference 52

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source=pdf_text observed=2026-08-01T22:13:29.824806Z digest=sha256:8a57cc4866bc2d067826a56ed683f2aa9352ba3cd7d40567ecacc47de7decafa

Observation 122c2f95-b1e2-4b19-9650-caffad98fc9a · outbound

This paper cites Wan: Open and Advanced Large-Scale Video Generative Models.

Test-Time Noise Guided Adaptation for Realistic Autoregressive Video Generation Wan: Open and Advanced Large-Scale Video Generative Models

Reference 53

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source=pdf_text observed=2026-08-01T22:13:29.911866Z digest=sha256:c13b014ad15f3a13409139a1eb3038656725cffd5f0248e11959550b1dd56852

Observation 9692a55f-df01-4033-9270-53051d51eabd · outbound

This paper cites Gen-L-Video: Multi-Text to Long Video Generation via Temporal Co-Denoising.

Test-Time Noise Guided Adaptation for Realistic Autoregressive Video Generation Gen-L-Video: Multi-Text to Long Video Generation via Temporal Co-Denoising

Reference 54

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Observation a7821b3d-2028-4bef-ac61-a96c66dffc75 · outbound

This paper cites Advances in neural information processing systems35, 24824–24837 (2022).

Test-Time Noise Guided Adaptation for Realistic Autoregressive Video Generation Advances in neural information processing systems35, 24824–24837 (2022)

Reference 55

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Observation a1002abe-073e-487f-8f5c-7f4005bcc071 · outbound

This paper cites arXiv preprint arXiv:2602.05871 (2026).

Test-Time Noise Guided Adaptation for Realistic Autoregressive Video Generation arXiv preprint arXiv:2602.05871 (2026)

Reference 56

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Observation 1f3c9b6c-1ac0-43f0-82b9-00e7c6be97b1 · outbound

This paper cites In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) (2025).

Test-Time Noise Guided Adaptation for Realistic Autoregressive Video Generation In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) (2025)

Reference 57

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Observation f42da030-ece2-4ef4-99e1-5fab02692acc · outbound

This paper cites ACM Comput.

Test-Time Noise Guided Adaptation for Realistic Autoregressive Video Generation ACM Comput

Reference 58

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Observation d6bb1ce6-c619-4e60-922f-18a291ad2c99 · outbound

This paper cites In: Proceedings of the IEEE conference on computer vision and pattern recognition.

Test-Time Noise Guided Adaptation for Realistic Autoregressive Video Generation In: Proceedings of the IEEE conference on computer vision and pattern recognition

Reference 59

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Observation 83d8039e-f90d-46c1-a7ab-935de066fa89 · outbound

This paper cites In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition.

Test-Time Noise Guided Adaptation for Realistic Autoregressive Video Generation In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition

Reference 60

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source=pdf_text observed=2026-08-01T22:13:30.619516Z digest=sha256:8ecbcc1c91ae5786fe4e5219f3f83bc9ac017a6573e487c56e33014a405097f5

Observation 306bd474-c709-4b56-a4f3-18b926ac42f3 · outbound

This paper cites VideoGPT: Video Generation using VQ-VAE and Transformers.

Test-Time Noise Guided Adaptation for Realistic Autoregressive Video Generation VideoGPT: Video Generation using VQ-VAE and Transformers

Reference 61

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source=pdf_text observed=2026-08-01T22:13:30.738942Z digest=sha256:e717ca3a8b780ebe20cc87d89d0ccfc19c95da9e609af7c7d3ce375c5d0e7ff5

Observation 791f153b-08fe-48c3-bd22-b8790d324151 · outbound

This paper cites ACM computing surveys56(4), 1–39 (2023).

Test-Time Noise Guided Adaptation for Realistic Autoregressive Video Generation ACM computing surveys56(4), 1–39 (2023)

Reference 62

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Observation 05dc1553-e418-4e60-94e8-9d8ca150e571 · outbound

This paper cites In: International Conference on Learning Representations (ICLR) (2026).

Test-Time Noise Guided Adaptation for Realistic Autoregressive Video Generation In: International Conference on Learning Representations (ICLR) (2026)

Reference 63

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Observation 4fa548c2-79ac-4e61-823d-02c467dad4e3 · outbound

This paper cites In: Proceed- ings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition.

Test-Time Noise Guided Adaptation for Realistic Autoregressive Video Generation In: Proceed- ings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition

Reference 64

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Observation 5f02fb17-0daa-4b4f-bd7d-7e06156b9af8 · outbound

This paper cites 20 Karageorgiou et al.

Test-Time Noise Guided Adaptation for Realistic Autoregressive Video Generation 20 Karageorgiou et al

Reference 65

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source=pdf_text observed=2026-08-01T22:13:31.132061Z digest=sha256:8e45f0ed27f470408c1f40b903a21abc7e2877b542655746b2ee315c8b5d3b03

Observation 24a312dc-49c6-46a3-9e2d-6168b3d5136b · outbound

This paper cites arXiv preprint arXiv:2512.11203 (2025).

Test-Time Noise Guided Adaptation for Realistic Autoregressive Video Generation arXiv preprint arXiv:2512.11203 (2025)

Reference 66

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source=pdf_text observed=2026-08-01T22:13:31.222102Z digest=sha256:a768e87db211bd15ae5be9fbf669e1324acaff0d359dd05b84d1552e484b4c01

Observation de18e0c3-c344-4442-9aa3-b1c833c5f083 · outbound

This paper cites BIFE: Better Interaction, Fewer Errors for Minute-Long Video Generation.

Test-Time Noise Guided Adaptation for Realistic Autoregressive Video Generation BIFE: Better Interaction, Fewer Errors for Minute-Long Video Generation

Reference 67

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source=pdf_text observed=2026-08-01T22:13:31.328783Z digest=sha256:ca6ad348d92618a1e075fbbd214bfddcd35134d7f362e150fda205e08dc948b5

Pith citing papers

No inbound Pith citation observations are available.