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Paper Citation Record · LEDGER

MilliVid: Hierarchical Latents for Long-Range Consistency in Video Generation

As of 5 August 2026, this Paper Citation Record lists 69 of 69 outbound references and 1 inbound Pith citation observation for arXiv:2606.09056.

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

pith.paper-citation-record.v1
2606.09056 v1

Coverage vector

measured 69 of 69 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-27T17:02:00.653422Z

measured 70 of 70 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-04T06:34:03.388597+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-01T06:35:27.766844Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

69 of 69 outbound references displayed

  • verified exact33
  • verified fuzzy0
  • unresolved32
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch4

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation f47289aa-6f9c-4f82-ac21-b042f51c7500 · outbound

This paper cites Training Agents Inside of Scalable World Models.

MilliVid: Hierarchical Latents for Long-Range Consistency in Video Generation Training Agents Inside of Scalable World Models

Reference 1

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local_arxiv, observed 2026-07-03T00:47:30.427236Z

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source=pdf_text observed=2026-06-27T17:02:00.653422Z digest=sha256:bdb8498e788dd4924300f7c53abb4b15391d33c2b879df658e3ffeac736f12ee

Observation 0d8e16a4-fb01-4229-bfa6-bc629d1a78d8 · outbound

This paper cites Learning universal policies via text-guided video generation.

MilliVid: Hierarchical Latents for Long-Range Consistency in Video Generation Learning universal policies via text-guided video generation

Reference 2

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source=pdf_text observed=2026-06-27T17:02:00.653422Z digest=sha256:5e4355dad5cdbe95bb68e493f351182492a3342ddc4fed8be7fcc8910e01f7d4

Observation f0169db3-0d8c-4ef7-82f5-eb3ee09f3604 · outbound

This paper cites This&that: Language-gesture controlled video generation for robot planning.

MilliVid: Hierarchical Latents for Long-Range Consistency in Video Generation This&that: Language-gesture controlled video generation for robot planning

Reference 3

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source=pdf_text observed=2026-06-27T17:02:00.653422Z digest=sha256:47ccafb4db6d0801e85ef698256cf86434e9d81d5213f835de9a75fbe9ecb2cb

Observation bcd9fac4-4af7-4e5d-ba3c-96f5e4dd754d · outbound

This paper cites World Action Models are Zero-shot Policies.

MilliVid: Hierarchical Latents for Long-Range Consistency in Video Generation World Action Models are Zero-shot Policies

Reference 4

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local_arxiv, observed 2026-07-03T00:47:30.460210Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-27T17:02:00.653422Z digest=sha256:5d4067327ff75f6508a4475a70b210333f47b9eb12555cc8d06fb1612afa2b34

Observation fe334e7c-d071-4f06-89a3-8155dc657067 · outbound

This paper cites Large Video Planner Enables Generalizable Robot Control.

MilliVid: Hierarchical Latents for Long-Range Consistency in Video Generation Large Video Planner Enables Generalizable Robot Control

Reference 5

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local_arxiv, observed 2026-07-03T00:47:30.450018Z

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source=pdf_text observed=2026-06-27T17:02:00.653422Z digest=sha256:ad344d7308e9bfb13e0c6601c5bee525031ea872fd2d08ea4122e615df64897c

Observation 0bc49282-13ae-413e-ba86-7f11089a1b42 · outbound

This paper cites MultiGen: Level-design for editable multiplayer worlds in diffusion game engines.

MilliVid: Hierarchical Latents for Long-Range Consistency in Video Generation MultiGen: Level-design for editable multiplayer worlds in diffusion game engines

Reference 6

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arxiv_id, observed 2026-07-03T00:47:30.453958Z

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source=pdf_text observed=2026-06-27T17:02:00.653422Z digest=sha256:39dbe58fe3b6445029f38879f3f97272bef47cfeb10597203d629ba62663f0e7

Observation 82c2a28a-f466-4646-b1ea-1680c92c56ab · outbound

This paper cites Frame context packing and drift prevention in next-frame-prediction video diffusion models.

MilliVid: Hierarchical Latents for Long-Range Consistency in Video Generation Frame context packing and drift prevention in next-frame-prediction video diffusion models

Reference 7

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source=pdf_text observed=2026-06-27T17:02:00.653422Z digest=sha256:2e011925f656d49fb92225f54554cda165c2720c48fe23a990c4049a474b244c

Observation 089d6123-5910-4c8f-9a78-c761fcff8371 · outbound

This paper cites Learning long-context diffusion policies via past-token prediction.

MilliVid: Hierarchical Latents for Long-Range Consistency in Video Generation Learning long-context diffusion policies via past-token prediction

Reference 8

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source=pdf_text observed=2026-06-27T17:02:00.653422Z digest=sha256:62f1e00b492a0501ec57e5f57266bc5c97e64904ea3e4a55c66e13f35eb24547

Observation 045a6483-0c16-48fd-ad82-2a4cac865d67 · outbound

This paper cites Diffusion policy: Visuomotor policy learning via action diffusion.The International Journal of Robotics Research, page 02783649241273668, 2023.

MilliVid: Hierarchical Latents for Long-Range Consistency in Video Generation Diffusion policy: Visuomotor policy learning via action diffusion.The International Journal of Robotics Research, page 02783649241273668, 2023

Reference 9

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source=pdf_text observed=2026-06-27T17:02:00.653422Z digest=sha256:69710ab7f90ff834957fba2612c34460433f64e93f8305d5cc29a2a8c958fd4d

Observation df3062fd-4979-4e49-82c7-1e6a5ee2ac6d · outbound

This paper cites Learning Fine-Grained Bimanual Manipulation with Low-Cost Hardware.

MilliVid: Hierarchical Latents for Long-Range Consistency in Video Generation Learning Fine-Grained Bimanual Manipulation with Low-Cost Hardware

Reference 10

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source=pdf_text observed=2026-06-27T17:02:00.653422Z digest=sha256:94bc8125526347d29e0cb6f7afabc6d8212a505f83db7739625048e0bb5bf132

Observation c93c1329-634a-49ce-83fd-ef9d8b186e41 · outbound

This paper cites Flextok: Resampling images into 1d token sequences of flexible length.

MilliVid: Hierarchical Latents for Long-Range Consistency in Video Generation Flextok: Resampling images into 1d token sequences of flexible length

Reference 11

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source=pdf_text observed=2026-06-27T17:02:00.653422Z digest=sha256:f47674f0e6cfd52d10f32d0c6c1e0b1441d97df9f79c0e14f10ccd32eabe20f1

Observation 875037fc-3a2a-44bd-ac43-31e0b6813406 · outbound

This paper cites an unresolved cited work.

MilliVid: Hierarchical Latents for Long-Range Consistency in Video Generation Unresolved cited work

Reference 12

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source=pdf_text observed=2026-06-27T17:02:00.653422Z digest=sha256:2e208faee2dfd11ae5fe0c835d58ec7226aa6f2c5aec43d15ae12d337814dcb9

Observation 7c4cb584-b02d-4e62-b221-c2accc2e05fd · outbound

This paper cites Mixture of contexts for long video generation.arXiv preprint arXiv:2508.21058.

MilliVid: Hierarchical Latents for Long-Range Consistency in Video Generation Mixture of contexts for long video generation.arXiv preprint arXiv:2508.21058

Reference 13

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source=pdf_text observed=2026-06-27T17:02:00.653422Z digest=sha256:d9f6fdb3e9d5293ea68af10997dab7b7d7ed8ea77e8b14afb26530c01b70a70b

Observation 45330447-f80b-4173-8445-0a566a204182 · outbound

This paper cites Context as memory: Scene-consistent interactive long video generation with memory retrieval.

MilliVid: Hierarchical Latents for Long-Range Consistency in Video Generation Context as memory: Scene-consistent interactive long video generation with memory retrieval

Reference 14

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source=pdf_text observed=2026-06-27T17:02:00.653422Z digest=sha256:4ebdc2f42d27fe61cb12b54244d7761856cabb1f41b7170430fe14ab13bc958a

Observation 63fd7692-19b0-4626-a58a-4c22209de6ea · outbound

This paper cites arXiv preprint arXiv:2504.12369 , year=.

MilliVid: Hierarchical Latents for Long-Range Consistency in Video Generation arXiv preprint arXiv:2504.12369 , year=

Reference 15

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arxiv_id, observed 2026-07-03T00:47:30.405399Z

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source=pdf_text observed=2026-06-27T17:02:00.653422Z digest=sha256:8fb09bf703000e84a5a341e37f808bf4904759632bc5ff9c82057db6bea09ced

Observation f90d23a8-731d-46cc-be89-3482a25d096e · outbound

This paper cites Matrix-Game 3.0: Real-Time and Streaming Interactive World Model with Long-Horizon Memory.

MilliVid: Hierarchical Latents for Long-Range Consistency in Video Generation Matrix-Game 3.0: Real-Time and Streaming Interactive World Model with Long-Horizon Memory

Reference 16

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No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-27T17:02:00.653422Z digest=sha256:30ef61603ff2b5c27896b675ad79150171a4371910fd335dbd322b9f8ce2d867

Observation 1f486410-4457-4106-9ae6-3bbeadde44af · outbound

This paper cites Generative View Stitching.

MilliVid: Hierarchical Latents for Long-Range Consistency in Video Generation Generative View Stitching

Reference 17

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source=pdf_text observed=2026-06-27T17:02:00.653422Z digest=sha256:4a92aa8acadb7ae3088a1e5462913dbf905a4880efbbe20dbd0387c130e2a84b

Observation 3d81df46-d655-4fe2-a011-da6d5a8ee881 · outbound

This paper cites Beyond Pixel Histories: World Models with Persistent 3D State.

MilliVid: Hierarchical Latents for Long-Range Consistency in Video Generation Beyond Pixel Histories: World Models with Persistent 3D State

Reference 18

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source=pdf_text observed=2026-06-27T17:02:00.653422Z digest=sha256:57b735e9001cc02fb40897c95d51cfacc053132dfbcb53eaf546d79f5d85a399

Observation 9a8f2bc2-0de0-4d42-a5b0-8834ba0cecf4 · outbound

This paper cites Mem- ory forcing: Spatio-temporal memory for consistent scene generation on minecraft.

MilliVid: Hierarchical Latents for Long-Range Consistency in Video Generation Mem- ory forcing: Spatio-temporal memory for consistent scene generation on minecraft

Reference 19

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source=pdf_text observed=2026-06-27T17:02:00.653422Z digest=sha256:6ccd3ef53eede32dde0c37988aff28642ff05250aaedd85f7785ae65d2d6bc20

Observation 096e2e45-3da7-4072-94db-817765a6fb77 · outbound

This paper cites principal components.

MilliVid: Hierarchical Latents for Long-Range Consistency in Video Generation principal components

Reference 20

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source=pdf_text observed=2026-06-27T17:02:00.653422Z digest=sha256:aa123eae1980135c52c7a86beb84173439a654598205e104effc2487e94c45e8

Observation 5a61f97b-6c7b-4e63-a98a-81b65ab2c3b1 · outbound

This paper cites Detailflow: 1d coarse-to-fine autoregressive image generation via next-detail prediction.arXiv preprint arXiv:2505.21473, 2025b.

MilliVid: Hierarchical Latents for Long-Range Consistency in Video Generation Detailflow: 1d coarse-to-fine autoregressive image generation via next-detail prediction.arXiv preprint arXiv:2505.21473, 2025b

Reference 21

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source=pdf_text observed=2026-06-27T17:02:00.653422Z digest=sha256:0e027caaf063fe90b8713b07785465c0c02a5ddfda57129ed2b9a22e12238785

Observation f7587fd6-656c-44c2-b173-2315bf639e53 · outbound

This paper cites Elastictok: Adaptive tokenization for image and video.

MilliVid: Hierarchical Latents for Long-Range Consistency in Video Generation Elastictok: Adaptive tokenization for image and video

Reference 22

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source=pdf_text observed=2026-06-27T17:02:00.653422Z digest=sha256:59fa56e8cd3193ff8608a5873b8f9bf9be14b954d70402deaeb86ece41e386c9

Observation 2ffae357-cc5f-49a2-8658-c49e05810e67 · outbound

This paper cites Scenetok: A compressed, diffusable token space for 3d scenes.CVPR, 2026.

MilliVid: Hierarchical Latents for Long-Range Consistency in Video Generation Scenetok: A compressed, diffusable token space for 3d scenes.CVPR, 2026

Reference 23

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source=pdf_text observed=2026-06-27T17:02:00.653422Z digest=sha256:ef057e8012dafa04666a942254be9bf78f7f5e50e4fc19c256d403add84df9ac

Observation 074c408d-0a55-4863-96bd-d87011695396 · outbound

This paper cites VideoFlexTok: Flexible-Length Coarse-to-Fine Video Tokenization.

MilliVid: Hierarchical Latents for Long-Range Consistency in Video Generation VideoFlexTok: Flexible-Length Coarse-to-Fine Video Tokenization

Reference 24

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local_arxiv, observed 2026-07-03T00:47:30.428152Z

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source=pdf_text observed=2026-06-27T17:02:00.653422Z digest=sha256:74e685f52c4b0bc7cdd7cbd1fafbdd4effb81d02c805dcba02dcf25b501af253

Observation 8d85ecb1-d1cc-4715-b7d4-32acec2f846b · outbound

This paper cites Evatok: Adaptive length video tokenization for efficient visual autoregressive generation.

MilliVid: Hierarchical Latents for Long-Range Consistency in Video Generation Evatok: Adaptive length video tokenization for efficient visual autoregressive generation

Reference 25

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source=pdf_text observed=2026-06-27T17:02:00.653422Z digest=sha256:c3d618ae3022f7bba5527ab31cd7c235b95547c96284cca81a45341e85a6dfff

Observation f2f636ea-8dbb-4a4b-bdda-44b2f4525d37 · outbound

This paper cites FlexTok: Resampling images into 1D token sequences of flexible length.

MilliVid: Hierarchical Latents for Long-Range Consistency in Video Generation FlexTok: Resampling images into 1D token sequences of flexible length

Reference 26

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source=pdf_text observed=2026-06-27T17:02:00.653422Z digest=sha256:36993406fa2bb50a6518b81b33c00a1b78822e09be1a52e9c469e5908ebdb104

Observation da819839-37e7-47fa-b070-c8c126e40ed3 · outbound

This paper cites URL https://proceedings.mlr.press/v267/bachmann25a.html.

MilliVid: Hierarchical Latents for Long-Range Consistency in Video Generation URL https://proceedings.mlr.press/v267/bachmann25a.html

Reference 27

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source=pdf_text observed=2026-06-27T17:02:00.653422Z digest=sha256:1bc61d3113a412bca01cd4f1131dcf296bf932728d5142a12577d0504c1ee723

Observation 5bcc1308-3c43-4f1f-ac3d-0044074402c4 · outbound

This paper cites Matryoshka representation learning.

MilliVid: Hierarchical Latents for Long-Range Consistency in Video Generation Matryoshka representation learning

Reference 28

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source=pdf_text observed=2026-06-27T17:02:00.653422Z digest=sha256:14040e2dbb363139e137b71e31828dd483d91d8ef62ba467f060551d41769baa

Observation 9429f2aa-b4b0-48a7-a76c-d2050db20bc1 · outbound

This paper cites Freeman, Antonio Torralba, and Phillip Isola.

MilliVid: Hierarchical Latents for Long-Range Consistency in Video Generation Freeman, Antonio Torralba, and Phillip Isola

Reference 29

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source=pdf_text observed=2026-06-27T17:02:00.653422Z digest=sha256:83f5538ac4532b21ade88e23bc0b975987d2aaf36947dfff43e083835a64b0f3

Observation 23153c77-6250-406e-a2a7-337798229e1d · outbound

This paper cites Nvae: A deep hierarchical variational autoencoder.Advances in neural information processing systems, 33:19667–19679, 2020.

MilliVid: Hierarchical Latents for Long-Range Consistency in Video Generation Nvae: A deep hierarchical variational autoencoder.Advances in neural information processing systems, 33:19667–19679, 2020

Reference 30

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source=pdf_text observed=2026-06-27T17:02:00.653422Z digest=sha256:ae0e8895c196bd620ea9ae88b567223df133a195fca7900799ef91baa8d988d8

Observation 54ea6e5a-6926-4056-b617-d8481ccc6f69 · outbound

This paper cites Cascaded diffusion models for high fidelity image generation.Journal of Machine Learning Research, 23 (47):1–33, 2022.

MilliVid: Hierarchical Latents for Long-Range Consistency in Video Generation Cascaded diffusion models for high fidelity image generation.Journal of Machine Learning Research, 23 (47):1–33, 2022

Reference 31

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source=pdf_text observed=2026-06-27T17:02:00.653422Z digest=sha256:984cc0ae905fdf6a1da9e8d47431f8aeef35912da98c1ee884ce280a9527e278

Observation faa1e0b2-eb73-42c4-a045-d7fce97252ec · outbound

This paper cites Scale space diffusion.

MilliVid: Hierarchical Latents for Long-Range Consistency in Video Generation Scale space diffusion

Reference 32

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arxiv_id, observed 2026-07-03T00:47:30.412636Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-27T17:02:00.653422Z digest=sha256:a78544378d4eebc8956a71171d71251df8fb3f2e06fe9c3c1cc161d10f24b42d

Observation b37ef80a-e564-4020-8157-249a188c01bc · outbound

This paper cites Edify Image: High-Quality Image Generation with Pixel Space Laplacian Diffusion Models.

MilliVid: Hierarchical Latents for Long-Range Consistency in Video Generation Edify Image: High-Quality Image Generation with Pixel Space Laplacian Diffusion Models

Reference 33

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source=pdf_text observed=2026-06-27T17:02:00.653422Z digest=sha256:1cd5ef5cd01b739c61ef755db5a0829047d8b687ce28bbb1bd61e307ede0b9d9

Observation 9b7e6a7f-eb97-4ff9-8d65-cbd5f6ff3db5 · outbound

This paper cites Visual autoregressive modeling: Scalable image generation via next-scale prediction.Advances in neural information processing systems, 37:84839–84865, 2024.

MilliVid: Hierarchical Latents for Long-Range Consistency in Video Generation Visual autoregressive modeling: Scalable image generation via next-scale prediction.Advances in neural information processing systems, 37:84839–84865, 2024

Reference 34

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source=pdf_text observed=2026-06-27T17:02:00.653422Z digest=sha256:00589c2380f99458f32355a7480144fcbb6fa2aa378ca364cd56dfc7f06b3b7d

Observation 8316e6e5-e662-4c04-987d-24caa28df62c · outbound

This paper cites Imagen Video: High Definition Video Generation with Diffusion Models.

MilliVid: Hierarchical Latents for Long-Range Consistency in Video Generation Imagen Video: High Definition Video Generation with Diffusion Models

Reference 35

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-27T17:02:00.653422Z digest=sha256:8019f13f5f3edfb316a86a5748b9bffefd629116e9e2a0ce5008330dd378ad13

Observation af85bd12-c53f-4ebb-83f0-970edf9eb28f · outbound

This paper cites I2VGen-XL: High-Quality Image-to-Video Synthesis via Cascaded Diffusion Models.

MilliVid: Hierarchical Latents for Long-Range Consistency in Video Generation I2VGen-XL: High-Quality Image-to-Video Synthesis via Cascaded Diffusion Models

Reference 36

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No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-27T17:02:00.653422Z digest=sha256:43d3a62c27fe139b008991c49a40d95e2083391e56768d4eb4b0007dc3e334d9

Observation 8da4ef78-d414-430e-89a5-b6809171487e · outbound

This paper cites Pyramidal flow matching for efficient video generative modeling.arXiv preprint arXiv:2410.05954.

MilliVid: Hierarchical Latents for Long-Range Consistency in Video Generation Pyramidal flow matching for efficient video generative modeling.arXiv preprint arXiv:2410.05954

Reference 37

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-27T17:02:00.653422Z digest=sha256:40bfcec4af1687c2a1f307a836ef3ad2a69cbd0dff291a10041594cd24dd8a6b

Observation d0ecf583-df66-448f-9d11-4f7b4304ff5a · outbound

This paper cites Temporally Consistent Transformers for Video Generation.

MilliVid: Hierarchical Latents for Long-Range Consistency in Video Generation Temporally Consistent Transformers for Video Generation

Reference 38

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-27T17:02:00.653422Z digest=sha256:09f3169867be84a18a4a8c285ee370715cd3ec451592731a4c11adc7ea1b0aeb

Observation bfa87f58-3f01-4f2a-a30c-069eac569ddc · outbound

This paper cites Long-Context Autoregressive Video Modeling with Next-Frame Prediction.

MilliVid: Hierarchical Latents for Long-Range Consistency in Video Generation Long-Context Autoregressive Video Modeling with Next-Frame Prediction

Reference 39

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No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-27T17:02:00.653422Z digest=sha256:d09648c81ea48782412f4af79ed4f0f0d1f457613ec4b11b4a6cd025106f8aab

Observation b80a58f5-4706-4241-b4b5-4437c12c2e38 · outbound

This paper cites The unreasonable effectiveness of deep networks as a perceptual metric.

MilliVid: Hierarchical Latents for Long-Range Consistency in Video Generation The unreasonable effectiveness of deep networks as a perceptual metric

Reference 40

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Source-reported events for the cited work

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source=pdf_text observed=2026-06-27T17:02:00.653422Z digest=sha256:9a24e90f9b04be7b8cbbc57dac221565507553ed2b399e4f3e1d80532c892b4e

Observation 492a9bb9-876f-44a9-bf70-ce56a12c00ec · outbound

This paper cites The Kinetics Human Action Video Dataset.

MilliVid: Hierarchical Latents for Long-Range Consistency in Video Generation The Kinetics Human Action Video Dataset

Reference 41

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local_arxiv, observed 2026-07-03T00:47:30.434720Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-27T17:02:00.653422Z digest=sha256:5b58fd1161f3411a04ae4e60a7104b3229790442937f14d3f1d25d7665a037a6

Observation 77b1492e-3e53-45ba-8a81-f069606b81be · outbound

This paper cites Stereo Magnification: Learning View Synthesis using Multiplane Images.

MilliVid: Hierarchical Latents for Long-Range Consistency in Video Generation Stereo Magnification: Learning View Synthesis using Multiplane Images

Reference 42

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local_arxiv, observed 2026-07-03T00:47:30.399513Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-27T17:02:00.653422Z digest=sha256:66a6587bc35c7704acbd3fa536e9d9828e94a04771623f3536f9807aa0830b74

Observation 7fd7c07e-7103-4774-a241-0ed2887d4071 · outbound

This paper cites Infinite nature: Perpetual view generation of natural scenes from a single image.

MilliVid: Hierarchical Latents for Long-Range Consistency in Video Generation Infinite nature: Perpetual view generation of natural scenes from a single image

Reference 43

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-27T17:02:00.653422Z digest=sha256:ad5decf130c4ac8c096d9a2d1c0984083ca551a994b8f4632ce13b214a4d8d7d

Observation 4d6a99b3-7a38-4b33-9d4d-f11d2cb24485 · outbound

This paper cites Dl3dv-10k: A large-scale scene dataset for deep learning-based 3d vision.

MilliVid: Hierarchical Latents for Long-Range Consistency in Video Generation Dl3dv-10k: A large-scale scene dataset for deep learning-based 3d vision

Reference 44

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-27T17:02:00.653422Z digest=sha256:e7ff86ba5324e162e5bb19493d9e535bad6fb4f60610b5c56dfea7fa4a03210e

Observation 8f7ca1cf-7c57-42eb-80b6-a512d2202d21 · outbound

This paper cites Are we ready for autonomous driving? the kitti vision benchmark suite.

MilliVid: Hierarchical Latents for Long-Range Consistency in Video Generation Are we ready for autonomous driving? the kitti vision benchmark suite

Reference 45

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-27T17:02:00.653422Z digest=sha256:a8a683fc6917bf62feb35a1f3875d0f4b484210192c7be4a29f2516ee09618b8

Observation bd48b375-861b-47e5-8ad5-63d65f5a9e1b · outbound

This paper cites Sturm, N.

MilliVid: Hierarchical Latents for Long-Range Consistency in Video Generation Sturm, N

Reference 46

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-27T17:02:00.653422Z digest=sha256:d6bdbae873d74e515e5292a6e7df56495f66e699a78ad9939e88c248bc7a740f

Observation adce8110-474e-48a9-92be-15b2d874f841 · outbound

This paper cites The MineRL 2019 Competition on Sample Efficient Reinforcement Learning using Human Priors.

MilliVid: Hierarchical Latents for Long-Range Consistency in Video Generation The MineRL 2019 Competition on Sample Efficient Reinforcement Learning using Human Priors

Reference 47

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arxiv_id, observed 2026-07-03T00:47:30.357339Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-27T17:02:00.653422Z digest=sha256:ba203d90770bc570ef3784b488809d946bacfa8e563169744848b1bfdc50e8f4

Observation 1e581e3b-5f77-4533-a68a-9b37b7d16365 · outbound

This paper cites Error analyses of auto-regressive video diffusion models: A unified framework.

MilliVid: Hierarchical Latents for Long-Range Consistency in Video Generation Error analyses of auto-regressive video diffusion models: A unified framework

Reference 48

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arxiv_id, observed 2026-07-03T00:47:30.418424Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-27T17:02:00.653422Z digest=sha256:eb113d1e8768e8f4359fdccd105546c6a0002dd9766b9c9441d57de691cf1eb9

Observation 3d83eef6-5f5b-457b-9b3b-b0e106a30069 · outbound

This paper cites Image quality assessment: from error visibility to structural similarity.IEEE transactions on image processing, 13(4):600–612, 2004.

MilliVid: Hierarchical Latents for Long-Range Consistency in Video Generation Image quality assessment: from error visibility to structural similarity.IEEE transactions on image processing, 13(4):600–612, 2004

Reference 49

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-27T17:02:00.653422Z digest=sha256:9ba928311601a437560519a9b22cc3407722994cd9377e48dc69eb27909eb757

Observation 11e2b6ca-4635-44e0-b351-e55090f2707f · outbound

This paper cites an unresolved cited work.

MilliVid: Hierarchical Latents for Long-Range Consistency in Video Generation Unresolved cited work

Reference 50

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Source-reported events for the cited work

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source=pdf_text observed=2026-06-27T17:02:00.653422Z digest=sha256:51787d0f966998f234217aab1f351a9f6671a714479cd90278ed2056919012e3

Observation 1a6935ed-bdfe-4c87-8ed3-10cc2f752420 · outbound

This paper cites LightGlue: Local Feature Matching at Light Speed.

MilliVid: Hierarchical Latents for Long-Range Consistency in Video Generation LightGlue: Local Feature Matching at Light Speed

Reference 51

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no resolver link, observed 2026-06-27T17:02:00.653422Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-27T17:02:00.653422Z digest=sha256:7144111a48c3513b4b39105609ea3c8acfa092e2a8bbab7c8af430cdbbc5b647

Observation 175ddf44-f465-4cf2-8b78-5ed83656852d · outbound

This paper cites Barron, Sofien Bouaziz, Dan B Goldman, Steven M.

MilliVid: Hierarchical Latents for Long-Range Consistency in Video Generation Barron, Sofien Bouaziz, Dan B Goldman, Steven M

Reference 52

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-27T17:02:00.653422Z digest=sha256:e8eeffb7c343631ed1da5ef3403bb1a381aeae0588691214c222f3dfb037cb79

Observation 62c3d5d8-4278-49d1-9319-4dbb262f7d7e · outbound

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

MilliVid: Hierarchical Latents for Long-Range Consistency in Video Generation Wan: Open and Advanced Large-Scale Video Generative Models

Reference 53

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verified exact
local_arxiv, observed 2026-07-03T00:47:30.440460Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-27T17:02:00.653422Z digest=sha256:92a17e9f562214e16ecb08e8557e7acd319c6941414b88be65528210c24639d3

Observation 919b46fb-b113-4f5e-8719-4343887c53f9 · outbound

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

MilliVid: Hierarchical Latents for Long-Range Consistency in Video Generation HunyuanVideo: A Systematic Framework For Large Video Generative Models

Reference 54

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local_arxiv, observed 2026-07-03T00:47:30.463371Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-27T17:02:00.653422Z digest=sha256:00d9b1385ba690a26fb775fb5e7af39d981bfd8d7455afd718fef890472ed7b8

Observation 6518ef03-91d0-4ed1-a6f8-c3624bb84a9e · outbound

This paper cites PyTorch: An Imperative Style, High-Performance Deep Learning Library.

MilliVid: Hierarchical Latents for Long-Range Consistency in Video Generation PyTorch: An Imperative Style, High-Performance Deep Learning Library

Reference 55

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local_arxiv, observed 2026-07-03T00:47:30.443397Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-27T17:02:00.653422Z digest=sha256:6494fb4abc65f89f3403669963743713e6f8c890616c1b3a88bc6e19b3b001a6

Observation 1804aad7-a0ad-4b03-a454-d1a928ae33cd · outbound

This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.

MilliVid: Hierarchical Latents for Long-Range Consistency in Video Generation An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 56

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local_arxiv, observed 2026-07-03T00:47:30.388391Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-27T17:02:00.653422Z digest=sha256:4580bf4e5819a7c68c91d6d2c236cc27f2605109f775979df265100358aff060

Observation 479dd018-ea2a-47df-aa7f-31e581ffc960 · outbound

This paper cites Attention Is All You Need.

MilliVid: Hierarchical Latents for Long-Range Consistency in Video Generation Attention Is All You Need

Reference 57

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local_arxiv, observed 2026-07-03T00:47:30.375430Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-27T17:02:00.653422Z digest=sha256:32331a9346d99669ce24e200735c5f1161716a07ec301192b0647175b9e7bb84

Observation aad9367e-6ac7-43ea-b643-17fcb56a4d9e · outbound

This paper cites Masked Autoencoders Are Scalable Vision Learners.

MilliVid: Hierarchical Latents for Long-Range Consistency in Video Generation Masked Autoencoders Are Scalable Vision Learners

Reference 58

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local_arxiv, observed 2026-07-03T00:47:30.457351Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-27T17:02:00.653422Z digest=sha256:fd0a01aeac307d7cffc733076ace0c80f905df08c7224b33e43d26159e673fb2

Observation e49c7320-dbed-4c64-be6a-8e2de71604fa · outbound

This paper cites Scalable diffusion models with transformers.

MilliVid: Hierarchical Latents for Long-Range Consistency in Video Generation Scalable diffusion models with transformers

Reference 59

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source=pdf_text observed=2026-06-27T17:02:00.653422Z digest=sha256:a3f93a15fa3981d633c63eef7de319fe35eac6ae12d56b2875ebcee130745913

Observation b5015fc7-2932-45fa-ba92-20f4971d1f32 · outbound

This paper cites Muon: An optimizer for hidden layers in neural networks, 2024.

MilliVid: Hierarchical Latents for Long-Range Consistency in Video Generation Muon: An optimizer for hidden layers in neural networks, 2024

Reference 60

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Source-reported events for the cited work

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source=pdf_text observed=2026-06-27T17:02:00.653422Z digest=sha256:55d9375db5bb9d740fda8d0a0a2a391cf8fa671f6dc6b06d2c2682335335d3f4

Observation ba9ac8f8-a673-4684-ad91-39d90e9c381d · outbound

This paper cites Decoupled Weight Decay Regularization.

MilliVid: Hierarchical Latents for Long-Range Consistency in Video Generation Decoupled Weight Decay Regularization

Reference 62

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local_arxiv, observed 2026-07-03T00:47:30.443698Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-27T17:02:00.653422Z digest=sha256:c00e81da7982ce13d6235db511185edb7a5fb8c9b05c5c25edd8c7730ead3a55

Observation 6824112d-8574-4202-b4ca-e4784628d922 · outbound

This paper cites Deep Unsupervised Learning using Nonequilibrium Thermodynamics.

MilliVid: Hierarchical Latents for Long-Range Consistency in Video Generation Deep Unsupervised Learning using Nonequilibrium Thermodynamics

Reference 63

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metadata mismatch
local_arxiv, observed 2026-07-03T00:47:30.446991Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-27T17:02:00.653422Z digest=sha256:33575571a31001dd598102de7e5d3f7a4bc8aefd9388fb19b0f654e6d950f696

Observation bed35524-43f0-41a7-a33e-ba17b802af53 · outbound

This paper cites Denoising diffusion probabilistic models.Advances in neural information processing systems, 33:6840–6851, 2020.

MilliVid: Hierarchical Latents for Long-Range Consistency in Video Generation Denoising diffusion probabilistic models.Advances in neural information processing systems, 33:6840–6851, 2020

Reference 64

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Source-reported events for the cited work

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source=pdf_text observed=2026-06-27T17:02:00.653422Z digest=sha256:db44fe7ba486a35e5c86f9471cd3031bda359e5500a6d4328330c3cee03cee49

Observation 07269df5-8a7a-46bb-b081-061060cc3140 · outbound

This paper cites Progressive Distillation for Fast Sampling of Diffusion Models.

MilliVid: Hierarchical Latents for Long-Range Consistency in Video Generation Progressive Distillation for Fast Sampling of Diffusion Models

Reference 65

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local_arxiv, observed 2026-07-03T00:47:30.375203Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-27T17:02:00.653422Z digest=sha256:482fc4c7e1a1f6cbf387b6f4e99eebafcf5c204944d4477bde8bee7d65dc6790

Observation 1c7275d6-4865-42e6-94b7-6a01670eb0f4 · outbound

This paper cites simple diffusion: End-to-end diffusion for high resolution images.

MilliVid: Hierarchical Latents for Long-Range Consistency in Video Generation simple diffusion: End-to-end diffusion for high resolution images

Reference 66

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no resolver link, observed 2026-06-27T17:02:00.653422Z

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source=pdf_text observed=2026-06-27T17:02:00.653422Z digest=sha256:b6a0fc19e0eb308e56602a2b75b1ed877f8f84877b07b2fe08be4da9b4719f37

Observation 8928406b-b811-42f9-b459-da724c3135a4 · outbound

This paper cites Classifier-Free Diffusion Guidance.

MilliVid: Hierarchical Latents for Long-Range Consistency in Video Generation Classifier-Free Diffusion Guidance

Reference 67

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local_arxiv, observed 2026-07-03T00:47:30.378471Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-27T17:02:00.653422Z digest=sha256:b5a89c4625c8c498e252a594f397bc8a1f4922981e30ee15079caac29504df29

Observation 3b02e592-79a3-4c30-bd4d-7a6e869aba17 · outbound

This paper cites Denoising Diffusion Implicit Models.

MilliVid: Hierarchical Latents for Long-Range Consistency in Video Generation Denoising Diffusion Implicit Models

Reference 68

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local_arxiv, observed 2026-07-03T00:47:30.369354Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-27T17:02:00.653422Z digest=sha256:88900f2879a9471a4aa9606a34dd9a3e43007b60992b10e7f455cfb6b4274ebf

Observation d8ced1e8-b133-4b53-8955-1e04d44b1e76 · outbound

This paper cites Diffusion forcing: Next-token prediction meets full-sequence diffusion.Advances in Neural Information Processing Systems, 2024.

MilliVid: Hierarchical Latents for Long-Range Consistency in Video Generation Diffusion forcing: Next-token prediction meets full-sequence diffusion.Advances in Neural Information Processing Systems, 2024

Reference 69

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-27T17:02:00.653422Z digest=sha256:dcec3ec97ac5524fda59d4c2435fba47f87c4eb0c316e99ee5d73acde3313694

Observation 3afad763-004b-448f-a669-eb90c4f3952d · outbound

This paper cites VideoCrafter1: Open Diffusion Models for High-Quality Video Generation.

MilliVid: Hierarchical Latents for Long-Range Consistency in Video Generation VideoCrafter1: Open Diffusion Models for High-Quality Video Generation

Reference 70

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local_arxiv, observed 2026-07-03T00:47:30.385025Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-27T17:02:00.653422Z digest=sha256:a076f8fcf8c6943e28f51a992cb4e388b9e2061fe9c348191fe389804ffaca83

Pith citing papers

Observation c7148221-6191-4380-a24c-d480d8bd8f3b · inbound

Closing the Loop: Training-Free Revisit Consistency for Autoregressive Generative Rendering cites this paper.

Closing the Loop: Training-Free Revisit Consistency for Autoregressive Generative Rendering MilliVid: Hierarchical Latents for Long-Range Consistency in Video Generation

Reference 2024

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T06:35:27.766844Z digest=sha256:53c1d8887e6abb025f1b62d6c128e77404ed25d9c327b18421232d389fe4c864