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Paper Citation Record · LEDGER

VILP: Imitation Learning with Latent Video Planning

As of 10 August 2026, this Paper Citation Record lists 30 of 30 outbound references and 3 inbound Pith citation observations for arXiv:2502.01784.

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

pith.paper-citation-record.v1
2502.01784 v1

Coverage vector

measured 30 of 30 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-09T14:33:35.739372Z

measured 33 of 33 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-26T17:11:12.686936Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T04:09:35.431058Z

Reference resolution

30 of 30 outbound references displayed

  • verified exact1
  • verified fuzzy10
  • unresolved19
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation fa5c594c-8cc9-4309-a6bf-3baa5879499d · outbound

This paper cites Video generation models as world simulators,.

VILP: Imitation Learning with Latent Video Planning Video generation models as world simulators,

Reference 1

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verified fuzzy
raw_fallback, observed 2026-08-09T14:33:36.529029Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-09T14:33:35.336706Z digest=sha256:ae2219e99123ffc64413b50378df2e0c95c06c2510070e2508a5cd41e2aa727b

Observation 23afedc3-2ba1-4404-be86-d976b7796541 · outbound

This paper cites Video Language Planning.

VILP: Imitation Learning with Latent Video Planning Video Language Planning

Reference 2

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T14:33:35.346360Z digest=sha256:66b1d3da0b29acf29d488f707f8a765f83e1266c51e16768756c1d1f46a6391d

Observation e1c4dc65-4151-4dc5-92cd-27db736df7d9 · outbound

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

VILP: Imitation Learning with Latent Video Planning Learning universal policies via text-guided video generation,

Reference 3

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raw_fallback, observed 2026-08-09T14:33:36.512412Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-09T14:33:35.359153Z digest=sha256:cec7c8ec8f9840424091894a5b96f3fa07ad52b8fb73dc9f0c90494642bbbc13

Observation 0584c9cb-3bf1-4f6a-9b04-d7ed9cc2ae5c · outbound

This paper cites Learning to Act from Actionless Videos through Dense Correspondences.

VILP: Imitation Learning with Latent Video Planning Learning to Act from Actionless Videos through Dense Correspondences

Reference 4

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T14:33:35.371228Z digest=sha256:046216632b7d475b713497e49672e003c324d77abefafdeedf53ce7ce6388094

Observation d71e95cf-fa46-4398-b0d9-f690ded1ef47 · outbound

This paper cites Long video generation with time-agnostic vqgan and time- sensitive transformer,.

VILP: Imitation Learning with Latent Video Planning Long video generation with time-agnostic vqgan and time- sensitive transformer,

Reference 5

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verified fuzzy
raw_fallback, observed 2026-08-09T14:33:36.494655Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-09T14:33:35.376773Z digest=sha256:551dff7c1f6ac230d1b5111d6632d28e5ed86af258b52ad74850efec77f45fea

Observation 54d1402c-74cb-48c8-8af7-d62980b3bd7b · outbound

This paper cites Magvit: Masked gen- erative video transformer,.

VILP: Imitation Learning with Latent Video Planning Magvit: Masked gen- erative video transformer,

Reference 6

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raw_fallback, observed 2026-08-09T14:33:36.479189Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-09T14:33:35.382311Z digest=sha256:d77df80f62263b8aa91a57a2ae40ad813f654b93fc5a26bc6e77f7ec82702948

Observation 797f45c7-f47f-4e5a-8721-033e956589f9 · outbound

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

VILP: Imitation Learning with Latent Video Planning VideoGPT: Video Generation using VQ-VAE and Transformers

Reference 7

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no resolver link, observed 2026-08-09T14:33:35.387369Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T14:33:35.387369Z digest=sha256:731c518180037515774d87ec9173edba0fc19e290d5783efb0ce09fdb12061f0

Observation cd7a2c7c-49e7-4d9e-8cee-2cd26d4ee6b9 · outbound

This paper cites Implicit behavioral cloning,.

VILP: Imitation Learning with Latent Video Planning Implicit behavioral cloning,

Reference 8

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raw_fallback, observed 2026-08-09T14:33:36.463874Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-09T14:33:35.392649Z digest=sha256:d94dfee876728ed5e0425cdb04807b05ac3459d3fa26f811a47c26b1733b819e

Observation a3ebb6dd-a696-4de4-9c6b-33bc8ab89deb · outbound

This paper cites Diffusion policy: Visuomotor policy learning via action diffusion,.

VILP: Imitation Learning with Latent Video Planning Diffusion policy: Visuomotor policy learning via action diffusion,

Reference 9

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T14:33:35.397699Z digest=sha256:21ea6c416a3f8b365977635ad655093e39ee969ea51177f53efaadfcaa56b814

Observation 6e2ca90d-2d2c-4d02-88ec-c233cd5635e0 · outbound

This paper cites Behavior Generation with Latent Actions.

VILP: Imitation Learning with Latent Video Planning Behavior Generation with Latent Actions

Reference 10

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T14:33:35.402594Z digest=sha256:2559c31fecdca399f33b8ded80ef9192ab61300e029df7b8050742e348c3dd7f

Observation 4a165528-6cae-4c39-854a-cdc273c2b799 · outbound

This paper cites Deep Generative Models in Robotics: A Survey on Learning from Multimodal Demonstrations.

VILP: Imitation Learning with Latent Video Planning Deep Generative Models in Robotics: A Survey on Learning from Multimodal Demonstrations

Reference 11

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no resolver link, observed 2026-08-09T14:33:35.408344Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T14:33:35.408344Z digest=sha256:067b9d56de43340bb4dde5369e22d27d965526224216294085a004beb0ecb4e2

Observation b89a3466-1abf-4382-85f3-948b3e1ac97b · outbound

This paper cites Learning Interactive Real-World Simulators.

VILP: Imitation Learning with Latent Video Planning Learning Interactive Real-World Simulators

Reference 12

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no resolver link, observed 2026-08-09T14:33:35.413760Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T14:33:35.413760Z digest=sha256:398967f48b846596cabce55203896c3c4eae2cab6b5c32bc87bb39250381283c

Observation b2d81b33-2cde-45d8-a707-6754a60c571b · outbound

This paper cites Seer: Language Instructed Video Prediction with Latent Diffusion Models.

VILP: Imitation Learning with Latent Video Planning Seer: Language Instructed Video Prediction with Latent Diffusion Models

Reference 13

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no resolver link, observed 2026-08-09T14:33:35.418444Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T14:33:35.418444Z digest=sha256:b8d633f416adea05f101410e0a2663f1c589367923001e3c9f3ce1e9daa4d9c8

Observation 44dfe1b6-7bd1-4773-b452-2a379feef768 · outbound

This paper cites Dreamitate: Real-World Visuomotor Policy Learning via Video Generation.

VILP: Imitation Learning with Latent Video Planning Dreamitate: Real-World Visuomotor Policy Learning via Video Generation

Reference 14

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T14:33:35.423656Z digest=sha256:3afd2ab9e44728aeba411235dd10e79d809e22d7ef8c4040bc2a8a594a14df2b

Observation 2c508030-a040-4ca1-a5ae-3cf5af5276a0 · outbound

This paper cites Deep unsupervised learning using nonequilibrium thermodynamics,.

VILP: Imitation Learning with Latent Video Planning Deep unsupervised learning using nonequilibrium thermodynamics,

Reference 15

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no resolver link, observed 2026-08-09T14:33:35.429786Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T14:33:35.429786Z digest=sha256:22a331410837446e89793a40f682c710a954695f87997a626253baac092f0440

Observation dc6828e7-e6d0-466d-8a4e-0e24d5f1fd2d · outbound

This paper cites Denoising diffusion probabilistic models,.

VILP: Imitation Learning with Latent Video Planning Denoising diffusion probabilistic models,

Reference 16

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no resolver link, observed 2026-08-09T14:33:35.434076Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T14:33:35.434076Z digest=sha256:69e7653ff8a379e5f759add3390ad80fb3549590246ab9aad85672c9df7fc6ae

Observation 80b12ecf-7237-4094-9663-e125e9417a6d · outbound

This paper cites Denoising Diffusion Implicit Models.

VILP: Imitation Learning with Latent Video Planning Denoising Diffusion Implicit Models

Reference 17

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no resolver link, observed 2026-08-09T14:33:35.438504Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T14:33:35.438504Z digest=sha256:f226ef9a4a1aa15d1bdb0562f9170974ad176e98ef8d83c43d3a2034382cdf50

Observation 0a28d709-b15a-444f-89ce-c357acb81ffe · outbound

This paper cites High-resolution image synthesis with latent diffusion models,.

VILP: Imitation Learning with Latent Video Planning High-resolution image synthesis with latent diffusion models,

Reference 18

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no resolver link, observed 2026-08-09T14:33:35.458151Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T14:33:35.458151Z digest=sha256:89c511ad53f8f0371b04369a1632fbe099329dba28aba75717ce9dba8fef6ea3

Observation 665b4ac8-c924-4088-b6f6-365c9ddb3609 · outbound

This paper cites Taming transformers for high-resolution image synthesis,.

VILP: Imitation Learning with Latent Video Planning Taming transformers for high-resolution image synthesis,

Reference 19

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verified fuzzy
raw_fallback, observed 2026-08-09T14:33:36.406886Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-09T14:33:35.481896Z digest=sha256:f95ffb8554cc7881474a545599d9ad0d9658631814a4a5efbc4db6c3ccf8c396

Observation 155d5fbd-cbd3-4f0e-9967-f5dfabf9b149 · outbound

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

VILP: Imitation Learning with Latent Video Planning The unreasonable effectiveness of deep features as a perceptual metric,

Reference 20

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no resolver link, observed 2026-08-09T14:33:35.518834Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T14:33:35.518834Z digest=sha256:baa456b352f0fb57e5e53050bcd85bddfb247fb130b2c5923ec8ce5026118827

Observation 64085b13-fe96-4d21-b28f-cebd8e2290e6 · outbound

This paper cites Vector-quantized Image Modeling with Improved VQGAN.

VILP: Imitation Learning with Latent Video Planning Vector-quantized Image Modeling with Improved VQGAN

Reference 21

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T14:33:35.558463Z digest=sha256:51023c7fc8af2d643205e5faf6d8ab35bb430a11027f7720c2677d7554860958

Observation df488b6c-27d8-4c8e-bf08-24ede594b838 · outbound

This paper cites Diffusion models beat gans on image synthesis,.

VILP: Imitation Learning with Latent Video Planning Diffusion models beat gans on image synthesis,

Reference 22

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no resolver link, observed 2026-08-09T14:33:35.609801Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T14:33:35.609801Z digest=sha256:27548d0895a2656edb9fbafcac494b58100f0a3d0d02185fafc73fb17fbc0411

Observation 9225be54-1cc9-4abb-a732-e9896aad3700 · outbound

This paper cites U-net: Convolutional net- works for biomedical image segmentation,.

VILP: Imitation Learning with Latent Video Planning U-net: Convolutional net- works for biomedical image segmentation,

Reference 23

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verified fuzzy
raw_fallback, observed 2026-08-09T14:33:36.302575Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-09T14:33:35.678962Z digest=sha256:984d26e2c9d512f1cce90ae84df1ffc4b7702c85762fbd13aa5a0f7da475caf3

Observation cecb2177-dac2-456f-86a1-018122cb27c7 · outbound

This paper cites Perceiver: General perception with iterative attention,.

VILP: Imitation Learning with Latent Video Planning Perceiver: General perception with iterative attention,

Reference 24

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no resolver link, observed 2026-08-09T14:33:35.692521Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T14:33:35.692521Z digest=sha256:5119510deaf7e03a29e61892c7cb3fa04610212bbdd60c4968452fc7ab17e7d5

Observation 53e2faad-17a1-4d25-9681-adcd61cdce30 · outbound

This paper cites Attention is all you need,.

VILP: Imitation Learning with Latent Video Planning Attention is all you need,

Reference 25

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T14:33:35.706785Z digest=sha256:3a8d21beede7dee54cf9efc18a178f8e7c9d1f9678dd53173dbec66da27b5134

Observation 4355e585-f637-4316-a21b-be1bc2690392 · outbound

This paper cites UniT: Data Efficient Tactile Representation with Generalization to Unseen Objects.

VILP: Imitation Learning with Latent Video Planning UniT: Data Efficient Tactile Representation with Generalization to Unseen Objects

Reference 26

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no resolver link, observed 2026-08-09T14:33:35.720168Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T14:33:35.720168Z digest=sha256:4788f819f8b6bd8daa609789989ec9b397b6354db00f2372b6e8c5f91f23630c

Observation 23aa9c62-6640-4797-960e-f87a978be05b · outbound

This paper cites LeTO: Learning Constrained Visuomotor Policy with Differentiable Trajectory Optimization.

VILP: Imitation Learning with Latent Video Planning LeTO: Learning Constrained Visuomotor Policy with Differentiable Trajectory Optimization

Reference 27

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verified exact
local_arxiv, observed 2026-08-09T14:33:35.787103Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-09T14:33:35.724897Z digest=sha256:104fe94b4ce43a248013b5a8ff09997895fe3bbf170cf5a2a26971cbb9c1520b

Observation 81bcab55-f336-44ea-8854-f472cd504e1d · outbound

This paper cites Transporter networks: Rearranging the visual world for robotic manipulation,.

VILP: Imitation Learning with Latent Video Planning Transporter networks: Rearranging the visual world for robotic manipulation,

Reference 28

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verified fuzzy
raw_fallback, observed 2026-08-09T14:33:36.157571Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-09T14:33:35.730301Z digest=sha256:134b1dfffa793ac008a330cb4a7625118cc05ad666bdda36e2717c04ab4fce7a

Observation 87fdf679-d883-4a6e-b197-aa685b006159 · outbound

This paper cites What matters in learning from offline human demonstrations for robot manipulation,.

VILP: Imitation Learning with Latent Video Planning What matters in learning from offline human demonstrations for robot manipulation,

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T14:33:36.127603Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-09T14:33:35.735210Z digest=sha256:53cc3963f6fde858c4d6d2779edb06cbfd06ae822d7f5a6cfdd93f53893a1185

Observation 9e17591c-a015-4990-9338-d9538d3d4731 · outbound

This paper cites Iterative Residual Policy: for goal-conditioned dynamic manipulation of de- formable objects,.

VILP: Imitation Learning with Latent Video Planning Iterative Residual Policy: for goal-conditioned dynamic manipulation of de- formable objects,

Reference 30

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raw_fallback, observed 2026-08-09T14:33:36.110959Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-09T14:33:35.739372Z digest=sha256:51f04720074f7b21ac1ab50efe096ec49c6f65b88351990cf0dfaeaeea671cea

Pith citing papers

Observation 52e1f458-9af8-4b0d-a2ef-1012ecb2a891 · inbound

PlayWorld: Learning Robot World Models from Autonomous Play cites this paper.

PlayWorld: Learning Robot World Models from Autonomous Play VILP: Imitation Learning with Latent Video Planning

Reference 89

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arxiv_id, observed 2026-05-15T14:05:54.649824Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-15T14:05:32.112432Z digest=sha256:e6f2c13167111f1660178ac45be294f0c2c3df1b7fbf5325e68276ae49d79d23

Observation c7589c38-ec74-4858-8017-fa64635727ea · inbound

World Action Models: The Next Frontier in Embodied AI cites this paper.

World Action Models: The Next Frontier in Embodied AI VILP: Imitation Learning with Latent Video Planning

Reference 87

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verified exact
arxiv_id, observed 2026-05-13T05:07:18.324656Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-13T05:01:16.802019Z digest=sha256:1539565d4d764547ab048d299696d0b2ec4b8fa7589eb1507f83fc4738df4645

Observation 4b322faa-5cfd-46f1-8624-db4beb7da9b8 · inbound

World Action Models: A Survey cites this paper.

World Action Models: A Survey VILP: Imitation Learning with Latent Video Planning

Reference 178

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verified exact
arxiv_id, observed 2026-07-04T04:09:35.433614Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-26T17:11:12.686936Z digest=sha256:7a5a4af8aeb5dbf75dc24560cfd0bc242392885f6420a477cef04ac733ec4e30