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Paper Citation Record · LEDGER

AVID: Adapting Video Diffusion Models to World Models

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 11 inbound Pith citation observations for arXiv:2410.12822.

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

pith.paper-citation-record.v1
2410.12822 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 11 of 11 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 11 of 11 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T22:55:57.830074Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T14:09:52.626309Z

Reference resolution

0 of 0 outbound references displayed

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  • verified fuzzy0
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  • malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 7cd095c2-1773-40dc-a1b0-6d06f41df856 · inbound

Learning Real-World Action-Video Dynamics with Heterogeneous Masked Autoregression cites this paper.

Learning Real-World Action-Video Dynamics with Heterogeneous Masked Autoregression AVID: Adapting Video Diffusion Models to World Models

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-08T22:55:57.830074Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T22:55:57.830074Z digest=sha256:5fb8f85e91609c7d0997018c5744afd782353ca7a95088dad9f2baaa7c890af8

Observation 5ab366d8-1b72-45cc-9dbe-5f16d7401add · inbound

Pre-Trained Video Generative Models as World Simulators cites this paper.

Pre-Trained Video Generative Models as World Simulators AVID: Adapting Video Diffusion Models to World Models

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-08T15:14:22.384783Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T15:14:22.384783Z digest=sha256:540f3a9f28da6bb06edcff4d1fed76d96bb0fdf65fa1b4d57ec69b39c5584403

Observation 34e5f4aa-5e0c-4837-8273-c8eea0c9a849 · inbound

Towards a Generalizable Bimanual Foundation Policy via Flow-based Video Prediction cites this paper.

Towards a Generalizable Bimanual Foundation Policy via Flow-based Video Prediction AVID: Adapting Video Diffusion Models to World Models

Reference 50

Resolution
unresolved
no resolver link, observed 2026-08-07T12:44:07.372300Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:44:07.372300Z digest=sha256:25fc4f9b4cac74ef83258432af434f8981ac6dd85716a73c07586a80e53bdc05

Observation 0f696d35-91fa-45ca-a990-4edb51c4083f · inbound

EA-WM: Event-Aware Generative World Model with Structured Kinematic-to-Visual Action Fields cites this paper.

EA-WM: Event-Aware Generative World Model with Structured Kinematic-to-Visual Action Fields AVID: Adapting Video Diffusion Models to World Models

Reference 16

Resolution
verified exact
arxiv_id, observed 2026-05-11T18:51:06.500302Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-08T13:50:37.638842Z digest=sha256:107cb7151fc5dba0d70ecf001fefe2316099e253829a21eb50373e2dd6c13527

Observation 02df8b11-e287-4628-8b76-caa82853a4b4 · inbound

OrbiSim: World Models as Differentiable Physics Engines for Embodied Intelligence cites this paper.

OrbiSim: World Models as Differentiable Physics Engines for Embodied Intelligence AVID: Adapting Video Diffusion Models to World Models

Reference 33

Resolution
verified exact
arxiv_id, observed 2026-05-20T21:43:45.653063Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-20T21:39:10.310926Z digest=sha256:69616f88691bc5c157f5deda9445980c010a0a0480bcf8606a05e18ff0d301c7

Observation c3971b15-2d7e-405f-97b7-0a9d56f088ac · inbound

Physically Viable World Models: A Case for Query-Conditioned Embodied AI cites this paper.

Physically Viable World Models: A Case for Query-Conditioned Embodied AI AVID: Adapting Video Diffusion Models to World Models

Reference 59

Resolution
verified exact
arxiv_id, observed 2026-06-29T09:13:16.511368Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-29T06:55:57.801162Z digest=sha256:f97973841a033ce71d799d7a998a67739df5cc500525e55ff523838a6df875cf

Observation cc186281-46b5-480f-92c3-2918ac5a45dd · inbound

Towards 3D-Aware Video Diffusion Models: Render-Free Human Motion Control with Mesh Tokenization cites this paper.

Towards 3D-Aware Video Diffusion Models: Render-Free Human Motion Control with Mesh Tokenization AVID: Adapting Video Diffusion Models to World Models

Reference 33

Resolution
verified exact
arxiv_id, observed 2026-07-01T22:46:19.798294Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-28T15:02:10.901341Z digest=sha256:fda3be517a4f88760d226429fb8f77b0ec1daf041ab5e725eae01bc6e47ed3dd

Observation 76478e53-7783-4a21-ab23-c5991655f6de · inbound

PiL-World: A Chunk-Wise World Model for VLA Policy-in-the-Loop Evaluation cites this paper.

PiL-World: A Chunk-Wise World Model for VLA Policy-in-the-Loop Evaluation AVID: Adapting Video Diffusion Models to World Models

Reference 6

Resolution
verified exact
arxiv_id, observed 2026-07-02T13:06:59.651385Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-28T01:30:19.378449Z digest=sha256:dd8f35f3b79c5086adea965af327ada30f8f73233a958152388a1e4e570b350f

Observation b1ce5aa4-fc10-4baa-8f0e-84055bcfc8a9 · inbound

Prisma-World: Camera-Controllable Multi-Agent Video World Model cites this paper.

Prisma-World: Camera-Controllable Multi-Agent Video World Model AVID: Adapting Video Diffusion Models to World Models

Reference 37

Resolution
verified exact
arxiv_id, observed 2026-07-03T00:47:30.031909Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-27T17:03:29.676482Z digest=sha256:35ae076ee132e13b84272afc1f64fd9624b615a02f098ef3a46e68995fe54634

Observation 4b9b7cab-c0fa-4e04-b448-73a3fe43da7c · inbound

IOI: Decoupling Kinematics and Physics for Interactive World Models cites this paper.

IOI: Decoupling Kinematics and Physics for Interactive World Models AVID: Adapting Video Diffusion Models to World Models

Reference 29

Resolution
verified exact
arxiv_id, observed 2026-07-04T10:59:46.565748Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-26T08:15:31.762065Z digest=sha256:7b947151d0ee9fa8fdb95ebc9b44322a74f39830383311d02fca3a70d10567da

Observation cdbd1be8-4da2-4f72-be8f-eae75f5a3fc8 · inbound

EO-WM: A Physically Informed World Model for Probabilistic Earth Observation Forecasting cites this paper.

EO-WM: A Physically Informed World Model for Probabilistic Earth Observation Forecasting AVID: Adapting Video Diffusion Models to World Models

Reference 33

Resolution
verified exact
arxiv_id, observed 2026-07-04T14:09:52.627940Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-26T04:33:24.123761Z digest=sha256:daacbf58d9414ad2d9ead69e3f2f4224f63e4caa91fcc6a670255d0020c8d124