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Paper Citation Record · LEDGER

Decomposing Motion and Content for Natural Video Sequence Prediction

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 12 inbound Pith citation observations for arXiv:1706.08033.

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

pith.paper-citation-record.v1
1706.08033 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 12 of 12 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 12 of 12 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-14T10:43:48.256051Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-05-25T17:11:04.454561Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
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  • malformed identifier0
  • metadata mismatch0

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 70471287-d34a-4443-a7f6-dae974a25dd2 · inbound

Planning Robot Motion using Deep Visual Prediction cites this paper.

Planning Robot Motion using Deep Visual Prediction Decomposing Motion and Content for Natural Video Sequence Prediction

Reference 20

Resolution
verified exact
local_arxiv, observed 2026-05-25T17:11:04.457512Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-25T17:07:52.962491Z digest=sha256:5d7aaa65820c862e90a773611631760e4a0e4cab04fcb214101d4dcde0ca273d

Observation 0cb7b8ae-8539-4e61-b002-6c5bd38b17d1 · inbound

Order Matters: Shuffling Sequence Generation for Video Prediction cites this paper.

Order Matters: Shuffling Sequence Generation for Video Prediction Decomposing Motion and Content for Natural Video Sequence Prediction

Reference 36

Resolution
verified exact
local_arxiv, observed 2026-05-24T18:44:49.369230Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-24T18:41:46.808576Z digest=sha256:6f5c94984a42379e12528d4d26f2d989285790e7caff63b2c440e55f782ea50d

Observation 605d6467-e4ce-4f10-a8ad-7abdb857ff06 · inbound

Inception-inspired LSTM for Next-frame Video Prediction cites this paper.

Inception-inspired LSTM for Next-frame Video Prediction Decomposing Motion and Content for Natural Video Sequence Prediction

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-14T10:43:48.256051Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T10:43:48.256051Z digest=sha256:9d8ad55e5fdca5cdd8d585b46bc01b34047850699c675096851669f51f2e5012

Observation af9875d5-bba9-43aa-a7c8-18b2bb1aa1b4 · inbound

Multi-Modal World Model for Physical Robot Interactions: Simultaneous Visual and Tactile Predictions for Enhanced Accuracy cites this paper.

Multi-Modal World Model for Physical Robot Interactions: Simultaneous Visual and Tactile Predictions for Enhanced Accuracy Decomposing Motion and Content for Natural Video Sequence Prediction

Reference 36

Resolution
verified exact
local_arxiv, observed 2026-05-24T09:34:16.975899Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-24T09:31:34.871215Z digest=sha256:79ae71fa89218f69e32d902b8410a0365930e677027acfef39bd9dfac8890ab7

Observation d86ad4f7-c116-4add-8e73-813f8a735629 · inbound

Frame forecasting in cine MRI using the PCA respiratory motion model: comparing recurrent neural networks trained online and transformers cites this paper.

Frame forecasting in cine MRI using the PCA respiratory motion model: comparing recurrent neural networks trained online and transformers Decomposing Motion and Content for Natural Video Sequence Prediction

Reference 36

Resolution
verified exact
local_arxiv, observed 2026-05-23T19:43:23.035453Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-23T19:42:45.987188Z digest=sha256:779e9bc647937fff2757606e0f73ba161f38b8f4039a42cdf892c40b461e3a7e

Observation 0e04bd53-2c22-4280-9d10-91247394ed15 · inbound

STLight: a Fully Convolutional Approach for Efficient Predictive Learning by Spatio-Temporal joint Processing cites this paper.

STLight: a Fully Convolutional Approach for Efficient Predictive Learning by Spatio-Temporal joint Processing Decomposing Motion and Content for Natural Video Sequence Prediction

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-12T19:55:10.100677Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T19:55:10.100677Z digest=sha256:4fc1b548a51a2ce59953d3fa0b826ee577ccc219b8cbd9c665ba92bbd4ba210d

Observation 19bc4ff0-74cd-40b3-80f2-8648b452c60e · inbound

Continuous Video Process: Modeling Videos as Continuous Multi-Dimensional Processes for Video Prediction cites this paper.

Continuous Video Process: Modeling Videos as Continuous Multi-Dimensional Processes for Video Prediction Decomposing Motion and Content for Natural Video Sequence Prediction

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-11T21:15:07.465138Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T21:15:07.465138Z digest=sha256:b90a004a9f3c66a7d3b8e1bf72452edd0e4252620d550e8fe4d2e094421c776a

Observation 5b4c9b1d-5da4-4417-b96e-a3ff0d1852a1 · inbound

Efficient Continuous Video Flow Model for Video Prediction cites this paper.

Efficient Continuous Video Flow Model for Video Prediction Decomposing Motion and Content for Natural Video Sequence Prediction

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-11T20:35:18.843096Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T20:35:18.843096Z digest=sha256:4f06346b6ceec075253ed2bbb359127cb481b86fef1cde38f98676ac3af08b93

Observation 29986849-9ff1-46e1-bbb1-d28aef001e64 · inbound

Every Image Listens, Every Image Dances: Music-Driven Image Animation cites this paper.

Every Image Listens, Every Image Dances: Music-Driven Image Animation Decomposing Motion and Content for Natural Video Sequence Prediction

Reference 55

Resolution
unresolved
no resolver link, observed 2026-08-09T22:29:15.701721Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T22:29:15.701721Z digest=sha256:3c188e27f4d01f46ef03e25c1316deb226ea08b5efebbd637edea8c6a5d8b01c

Observation cf31440d-7aa9-426b-a653-d42b4c0a18db · inbound

DriveLaW:Unifying Planning and Video Generation in a Latent Driving World cites this paper.

DriveLaW:Unifying Planning and Video Generation in a Latent Driving World Decomposing Motion and Content for Natural Video Sequence Prediction

Reference 64

Resolution
verified exact
local_arxiv, observed 2026-05-16T19:38:21.129118Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-16T19:34:39.518649Z digest=sha256:b4e88aa9c71f807840a1c278f4ec52adac9fbdeb082959f144cc163bf5b40442

Observation 5e51c1a9-ee0d-43fd-a4da-c6cc849076b7 · inbound

Evolution of Video Generative Foundations cites this paper.

Evolution of Video Generative Foundations Decomposing Motion and Content for Natural Video Sequence Prediction

Reference 20

Resolution
verified exact
arxiv_id, observed 2026-05-11T00:05:51.964771Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-10T18:41:38.616611Z digest=sha256:c725f791e34e326dbe3d587dde9ca38511d501a19f3d08e9ca4370914677c242

Observation a1ce0c05-0cd7-4013-9c26-2b1d03561e70 · inbound

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

World Action Models: The Next Frontier in Embodied AI Decomposing Motion and Content for Natural Video Sequence Prediction

Reference 284

Resolution
verified exact
arxiv_id, observed 2026-05-13T05:07:17.983300Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-13T05:01:16.802019Z digest=sha256:4c841f987d03d4b8398adebfc3a436b333f4311d5716c4178a11cbca77230e1d