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Paper Citation Record · LEDGER

Motion Prompting: Controlling Video Generation with Motion Trajectories

As of 22 August 2026, this Paper Citation Record lists 92 of 92 outbound references and 23 inbound Pith citation observations for arXiv:2412.02700.

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

pith.paper-citation-record.v1
2412.02700 v2

Coverage vector

measured 92 of 92 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T23:15:09.975735Z

measured 115 of 115 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 23 of 23 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T11:49:08.588781Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T11:38:05.173560Z

Reference resolution

92 of 92 outbound references displayed

  • verified exact0
  • verified fuzzy39
  • unresolved52
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 48202b9b-b274-4c31-81a9-01c1e69805cf · outbound

This paper cites Magic Fixup: Streamlining Photo Editing by Watching Dynamic Videos.

Motion Prompting: Controlling Video Generation with Motion Trajectories Magic Fixup: Streamlining Photo Editing by Watching Dynamic Videos

Reference 1

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source=pdf_text observed=2026-08-11T23:15:09.483544Z digest=sha256:2dcfeebaed27d9c5eecbcf17c8c6572326186f42382936152e06f63159f1bce2

Observation a07087d9-0d88-4445-9d02-b7e886456c94 · outbound

This paper cites Click to move: Control- ling video generation with sparse motion.

Motion Prompting: Controlling Video Generation with Motion Trajectories Click to move: Control- ling video generation with sparse motion

Reference 2

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source=pdf_text observed=2026-08-11T23:15:09.489268Z digest=sha256:3c689390ddf3f582d2fa8f77738064eac54474bf7422d728202e1771cfaca603

Observation ab4c0a42-f6f3-4ebf-8fb0-11a0e70bec25 · outbound

This paper cites Lumiere: A Space-Time Diffusion Model for Video Generation.

Motion Prompting: Controlling Video Generation with Motion Trajectories Lumiere: A Space-Time Diffusion Model for Video Generation

Reference 3

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source=pdf_text observed=2026-08-11T23:15:09.494109Z digest=sha256:68e8ec6cea1e2ab9e8292afadcc783140d051e84d4e1fbb07b596543cae79fc8

Observation 1814b0e4-f6bf-4195-8bea-008bc70dc583 · outbound

This paper cites Improving image generation with better captions.

Motion Prompting: Controlling Video Generation with Motion Trajectories Improving image generation with better captions

Reference 4

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source=pdf_text observed=2026-08-11T23:15:09.498183Z digest=sha256:a0492dd68a774c1455a5a17e73a73b7d42f115d4291f00c2c80841272b339369

Observation ead474de-5912-4733-9ec8-43b8f740a26f · outbound

This paper cites Efros, and Andrew Owens.

Motion Prompting: Controlling Video Generation with Motion Trajectories Efros, and Andrew Owens

Reference 5

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source=pdf_text observed=2026-08-11T23:15:09.503370Z digest=sha256:eab1d54b744d48876c8e9eae707c12e08d3ef05fba3300bafb220ab8ef95fae3

Observation b3b54629-ec09-4ccd-b41d-4437a51e7b80 · outbound

This paper cites Stable Video Diffusion: Scaling Latent Video Diffusion Models to Large Datasets.

Motion Prompting: Controlling Video Generation with Motion Trajectories Stable Video Diffusion: Scaling Latent Video Diffusion Models to Large Datasets

Reference 6

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source=pdf_text observed=2026-08-11T23:15:09.508424Z digest=sha256:566feb3ac0a26d7f4cb0b74c8c168e343da888c573ae6946264280cc308f5848

Observation 98fb4618-f4c0-4816-b73f-824bf5baea52 · outbound

This paper cites Video generation models as world simulators.Tech- nical report, 2024.

Motion Prompting: Controlling Video Generation with Motion Trajectories Video generation models as world simulators.Tech- nical report, 2024

Reference 7

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source=pdf_text observed=2026-08-11T23:15:09.513718Z digest=sha256:15e5b78fa889e265f4878d40b70501daec3691f60c7f9a94ba1610d7af126a88

Observation 117be15c-1158-457d-92cd-4abca5080dbf · outbound

This paper cites Large displacement opti- cal flow: descriptor matching in variational motion estima- tion.

Motion Prompting: Controlling Video Generation with Motion Trajectories Large displacement opti- cal flow: descriptor matching in variational motion estima- tion

Reference 8

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source=pdf_text observed=2026-08-11T23:15:09.520512Z digest=sha256:547d9da967bbf213753177d17a7685da3a07365cba8f10116245758815f5dd0f

Observation bc980803-44d4-445f-b859-cfd958e8d9ec · outbound

This paper cites Motion-Conditioned Diffusion Model for Controllable Video Synthesis.

Motion Prompting: Controlling Video Generation with Motion Trajectories Motion-Conditioned Diffusion Model for Controllable Video Synthesis

Reference 9

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source=pdf_text observed=2026-08-11T23:15:09.524892Z digest=sha256:7d5073a8493c773433da7a7445e983e5f6519fcfe8dd852ec6c6c27a76618a4b

Observation 8c710f6d-2699-4aa8-b7a8-6d96ead71a4f · outbound

This paper cites Fine-grained open do- main image animation with motion guidance, 2023.

Motion Prompting: Controlling Video Generation with Motion Trajectories Fine-grained open do- main image animation with motion guidance, 2023

Reference 10

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source=pdf_text observed=2026-08-11T23:15:09.529103Z digest=sha256:48dced49fdc1fe7ed3ae24ce3bfe4b7c86c333ffd8e9ec68deb08d0164345cb0

Observation 2ae69461-8b89-4cbd-8893-22c4827929b1 · outbound

This paper cites Prompt Expansion for Adaptive Text-to-Image Generation.

Motion Prompting: Controlling Video Generation with Motion Trajectories Prompt Expansion for Adaptive Text-to-Image Generation

Reference 11

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source=pdf_text observed=2026-08-11T23:15:09.533867Z digest=sha256:bc0e4a7d278cc5e8f406d257ff6d9b29977e5232212ee795de3fcf84310dd2ef

Observation 3baa0226-6a01-4b7e-947b-af9793f79e1d · outbound

This paper cites TAPIR: Tracking any point with per-frame initialization and temporal refinement.

Motion Prompting: Controlling Video Generation with Motion Trajectories TAPIR: Tracking any point with per-frame initialization and temporal refinement

Reference 12

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source=pdf_text observed=2026-08-11T23:15:09.541346Z digest=sha256:d8b18fffea9dd1b38f6e8f477dff86d614311d0718b796c4a542db20beaa696f

Observation 20c2f11f-13c0-4b62-a795-18d7a900ac78 · outbound

This paper cites BootsTAP: Bootstrapped Training for Tracking-Any-Point.

Motion Prompting: Controlling Video Generation with Motion Trajectories BootsTAP: Bootstrapped Training for Tracking-Any-Point

Reference 13

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source=pdf_text observed=2026-08-11T23:15:09.545300Z digest=sha256:1b94432c727ab9d5b56a2d7e863ef01bef12719f42f3d9bcd3c92afbdcef076d

Observation 69addfbf-ab17-4063-85fc-c8eb004ebdfe · outbound

This paper cites FlowNet: Learning optical flow with convolutional networks.

Motion Prompting: Controlling Video Generation with Motion Trajectories FlowNet: Learning optical flow with convolutional networks

Reference 14

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source=pdf_text observed=2026-08-11T23:15:09.549849Z digest=sha256:8041446b2a3659e89e5607bb22120a3532e21ecf91cc6cdcc7f2b5316e3c9591

Observation 84b4e167-c2dd-454e-b5f0-1fe996133069 · outbound

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

Motion Prompting: Controlling Video Generation with Motion Trajectories Learning universal policies via text-guided video generation

Reference 15

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source=pdf_text observed=2026-08-11T23:15:09.553833Z digest=sha256:0b5b9f757b47cf56b104c2c1ce559a54d28e397cffdf9ef5f677dbce1742e4d1

Observation 2755c07c-2369-41a3-b8cc-1cc582fbf342 · outbound

This paper cites Video prediction models as rewards for reinforcement learning.

Motion Prompting: Controlling Video Generation with Motion Trajectories Video prediction models as rewards for reinforcement learning

Reference 16

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source=pdf_text observed=2026-08-11T23:15:09.558160Z digest=sha256:bd20686bcaad4d20ae40af929b00e76319ae5fa67e734962d89cb5b7bb1be36d

Observation 754b517b-3ac9-4806-a6a6-969d4ff3a901 · outbound

This paper cites I2VControl: Disentangled and Unified Video Motion Synthesis Control.

Motion Prompting: Controlling Video Generation with Motion Trajectories I2VControl: Disentangled and Unified Video Motion Synthesis Control

Reference 17

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source=pdf_text observed=2026-08-11T23:15:09.561922Z digest=sha256:c242f6a12363f1b59828c3aea69cdfb3c32abdda726fdad9d9377c7b91743470

Observation 3e14478e-c276-49c3-8c7a-2f776ca25d2c · outbound

This paper cites Motion guidance: Diffusion-based image editing with differentiable motion es- timators.

Motion Prompting: Controlling Video Generation with Motion Trajectories Motion guidance: Diffusion-based image editing with differentiable motion es- timators

Reference 18

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source=pdf_text observed=2026-08-11T23:15:09.569032Z digest=sha256:6b45b7d88594384f6e2092358ed37aecb16853f909c05e35d01998ccfdcee978

Observation 1886df4d-cb7a-4ed0-b01e-aea208aaa508 · outbound

This paper cites Emu Video: Factorizing Text-to-Video Generation by Explicit Image Conditioning.

Motion Prompting: Controlling Video Generation with Motion Trajectories Emu Video: Factorizing Text-to-Video Generation by Explicit Image Conditioning

Reference 19

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source=pdf_text observed=2026-08-11T23:15:09.578329Z digest=sha256:2959803e7dd002176fa4048ba052ac99b97eb8abb929dfaa4e5d0b0dca60a680

Observation 7f99f2c6-8bac-4477-82af-6f470fa24e74 · outbound

This paper cites AnimateDiff: Animate your personalized text-to- image diffusion models without specific tuning.

Motion Prompting: Controlling Video Generation with Motion Trajectories AnimateDiff: Animate your personalized text-to- image diffusion models without specific tuning

Reference 20

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source=pdf_text observed=2026-08-11T23:15:09.584556Z digest=sha256:21354edd4fd262b0589e83841c21aee4eb4160ed4518ea3e33a7700f123e2727

Observation ccbe5e4c-598e-4d92-8dd3-8c6bfe4dbb8b · outbound

This paper cites Controllable video generation with sparse trajectories.

Motion Prompting: Controlling Video Generation with Motion Trajectories Controllable video generation with sparse trajectories

Reference 21

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T23:15:09.594435Z digest=sha256:1eded79d002f6563af2e5c4d8f155536fccd033d8b99ce8af706fcbcc8080719

Observation ef72e73a-a23a-4d01-8eef-3acf9d6046c7 · outbound

This paper cites Harley, Zhaoyuan Fang, and Katerina Fragkiadaki.

Motion Prompting: Controlling Video Generation with Motion Trajectories Harley, Zhaoyuan Fang, and Katerina Fragkiadaki

Reference 22

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source=pdf_text observed=2026-08-11T23:15:09.598420Z digest=sha256:269b27fa134a33638ac8c85be00b54c98cf4e4b59159a2071312442dbcf67c11

Observation 83f559a4-78b1-4f61-904b-53dcc0fba41e · outbound

This paper cites CameraCtrl: Enabling Camera Control for Text-to-Video Generation.

Motion Prompting: Controlling Video Generation with Motion Trajectories CameraCtrl: Enabling Camera Control for Text-to-Video Generation

Reference 23

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Observation 19160310-38a1-441e-a3ad-d073f2e190e7 · outbound

This paper cites My first try with video.

Motion Prompting: Controlling Video Generation with Motion Trajectories My first try with video

Reference 24

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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T23:15:09.608803Z digest=sha256:d3f8b4372a39ede8d27bb6c96c0182be14b569272c744f7e981999a6f5d76ae0

Observation 837ed23a-83cc-4c12-909d-a029c15ab10b · outbound

This paper cites Denoising dif- fusion probabilistic models.

Motion Prompting: Controlling Video Generation with Motion Trajectories Denoising dif- fusion probabilistic models

Reference 25

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Observation 47964dac-60c7-4614-8f03-3c7845c438df · outbound

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

Motion Prompting: Controlling Video Generation with Motion Trajectories Imagen Video: High Definition Video Generation with Diffusion Models

Reference 26

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source=pdf_text observed=2026-08-11T23:15:09.618957Z digest=sha256:4c40f1acc03cbbef7de34654b3d11c16c7f6cd7db023307fe47183b8e044fc36

Observation 93f852cf-6a9d-44f5-a741-8f27d6d67f85 · outbound

This paper cites Video dif- fusion models.

Motion Prompting: Controlling Video Generation with Motion Trajectories Video dif- fusion models

Reference 27

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Observation ceb6473a-5988-42ad-9a46-9873b4f8a0b6 · outbound

This paper cites Horn and Brian G.

Motion Prompting: Controlling Video Generation with Motion Trajectories Horn and Brian G

Reference 28

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source=pdf_text observed=2026-08-11T23:15:09.633140Z digest=sha256:ec244669e1909b0d80c9b146098abf034b7b7d6588d0e79f1c9aef1f6e293b80

Observation 2738c776-a625-4a88-bcda-1cd9d9ee8dfe · outbound

This paper cites LoRA: Low-Rank Adaptation of Large Language Models.

Motion Prompting: Controlling Video Generation with Motion Trajectories LoRA: Low-Rank Adaptation of Large Language Models

Reference 29

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source=pdf_text observed=2026-08-11T23:15:09.639133Z digest=sha256:ef5c500ed5b56a0b60fc2afc663a22d055fe50945f1a5010cc11253b9e9b17a7

Observation 2f7b4e61-df99-42cc-8342-317cac2e468f · outbound

This paper cites Animate Anyone: Consistent and Controllable Image-to-Video Synthesis for Character Animation.

Motion Prompting: Controlling Video Generation with Motion Trajectories Animate Anyone: Consistent and Controllable Image-to-Video Synthesis for Character Animation

Reference 30

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source=pdf_text observed=2026-08-11T23:15:09.648354Z digest=sha256:7722ca8d4de8d4b520ce4269a61eee31959e8d392065e6accd1e6fb0e7d7eba1

Observation 98bdc500-460c-4eec-9d93-3b446208c977 · outbound

This paper cites Space-time correspondence as a contrastive random walk.

Motion Prompting: Controlling Video Generation with Motion Trajectories Space-time correspondence as a contrastive random walk

Reference 31

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T23:15:09.652953Z digest=sha256:03dd62bd6ebcae283f7317ddf66927fe1ddec35cb8a6be52a1cb914782169805

Observation 2e46fd8f-6615-4496-b423-1036e8212630 · outbound

This paper cites Peekaboo: Interactive video generation via masked- diffusion.

Motion Prompting: Controlling Video Generation with Motion Trajectories Peekaboo: Interactive video generation via masked- diffusion

Reference 32

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T23:15:09.664871Z digest=sha256:f84c7c7fa477309fbbe3c9c206b2637bd00e4d236d7e9e3f220a922ac714a68f

Observation 34022083-f026-4ecf-b145-401f9a81a711 · outbound

This paper cites COTR: Correspondence transformer for matching across images.

Motion Prompting: Controlling Video Generation with Motion Trajectories COTR: Correspondence transformer for matching across images

Reference 33

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T23:15:09.669547Z digest=sha256:0981092c74f6f78d1816e155669452853b0d041ddafc79c54d33e09c6aed7b1d

Observation d1169f20-2eb2-4851-b2b6-26017110473b · outbound

This paper cites Visual perception of biological motion and a model for its analysis.

Motion Prompting: Controlling Video Generation with Motion Trajectories Visual perception of biological motion and a model for its analysis

Reference 34

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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T23:15:09.675062Z digest=sha256:94f10ad9be91e8db183e90c440de7d1fe4d28ce4f3f468e1ede39f6721658e2e

Observation e595a957-22a5-4f92-9f44-8a0836faddab · outbound

This paper cites How Far is Video Generation from World Model: A Physical Law Perspective.

Motion Prompting: Controlling Video Generation with Motion Trajectories How Far is Video Generation from World Model: A Physical Law Perspective

Reference 35

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source=pdf_text observed=2026-08-11T23:15:09.680845Z digest=sha256:2e76b9ec1adddd49a7b5d1363de9039ad73a424c7123fea9da9b94b3a2d1511d

Observation 64317af9-30db-4a52-b101-679f8a51a36c · outbound

This paper cites CoTracker3: Simpler and Better Point Tracking by Pseudo-Labelling Real Videos.

Motion Prompting: Controlling Video Generation with Motion Trajectories CoTracker3: Simpler and Better Point Tracking by Pseudo-Labelling Real Videos

Reference 36

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source=pdf_text observed=2026-08-11T23:15:09.686758Z digest=sha256:20de30294cfdbc13db70b2de5d490a1abae36cdf79aa3e4a26a2e96d6cb8edbf

Observation bddb8bfc-f2dc-4f70-a675-4cae80226abc · outbound

This paper cites Co- Tracker: It is better to track together.

Motion Prompting: Controlling Video Generation with Motion Trajectories Co- Tracker: It is better to track together

Reference 37

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T23:15:09.692355Z digest=sha256:e27bc5907b11ce3b7e9a3ef17ae8bb96c947d54e6cf109eda035a8cd66e044ae

Observation 603f67d6-2334-4017-a2d0-3d25a9b7b668 · outbound

This paper cites Segment Anything.

Motion Prompting: Controlling Video Generation with Motion Trajectories Segment Anything

Reference 38

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T23:15:09.698749Z digest=sha256:af8aa4cd246bfe361f12b43e7d8f1eab3e4d6f9eb8c670ccfdc95c5fa3fd7db4

Observation e238c315-4fed-4625-a3e3-151539f26580 · outbound

This paper cites Image Conductor: Precision Control for Interactive Video Synthesis.

Motion Prompting: Controlling Video Generation with Motion Trajectories Image Conductor: Precision Control for Interactive Video Synthesis

Reference 39

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no resolver link, observed 2026-08-11T23:15:09.703678Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T23:15:09.703678Z digest=sha256:604cda14e50a5c832d041510d704374f8ecaa0ad6d4a61450b873e2cc6895c03

Observation fce52f7b-11d6-4c9f-a586-b6076e09e95a · outbound

This paper cites Motion magnification.

Motion Prompting: Controlling Video Generation with Motion Trajectories Motion magnification

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:15:11.221356Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T23:15:09.708621Z digest=sha256:d8390de3a5a35505b1eb122cd0dddb3132c6ef60d1cceaf5d02858bedc8852af

Observation 750276ef-8f23-4974-ae02-a29043368196 · outbound

This paper cites PhysGen: Rigid-body physics-grounded image- to-video generation.

Motion Prompting: Controlling Video Generation with Motion Trajectories PhysGen: Rigid-body physics-grounded image- to-video generation

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:15:11.199661Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T23:15:09.713300Z digest=sha256:3723369551c5ac6d7ccce3adea9be154c64d386727876360961e8e23c103af69

Observation cdd7b071-0dd6-4962-a65f-51e883007ada · outbound

This paper cites Lucas and Takeo Kanade.

Motion Prompting: Controlling Video Generation with Motion Trajectories Lucas and Takeo Kanade

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:15:11.182486Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T23:15:09.717385Z digest=sha256:1570c454e746bf85ded0f57e3cc7fec8db8363fc7d9a99a6974ec6d22c0c7ef5

Observation f82a3ae9-6b61-43e0-aa17-b21835b182db · outbound

This paper cites TrailBlazer: Trajectory Control for Diffusion-Based Video Generation.

Motion Prompting: Controlling Video Generation with Motion Trajectories TrailBlazer: Trajectory Control for Diffusion-Based Video Generation

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-11T23:15:09.721831Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T23:15:09.721831Z digest=sha256:903da51ec73a1fa9c238ba84fdc53f22780d7ac67cf9600012d696cf44451d53

Observation 4f2e32e9-3b71-4c2b-a51f-a080bfe477ab · outbound

This paper cites DragonDiffusion: Enabling Drag-style Manipulation on Diffusion Models.

Motion Prompting: Controlling Video Generation with Motion Trajectories DragonDiffusion: Enabling Drag-style Manipulation on Diffusion Models

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-11T23:15:09.725489Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T23:15:09.725489Z digest=sha256:e2f9e4f1ba62e3378fe389116fa30dc5f15aad30dff7d2505a5cdfa5829cd7b7

Observation 466f6406-10cb-4cce-99c3-0a5bbf5e8868 · outbound

This paper cites SG-I2V: Self-Guided Trajectory Control in Image-to-Video Generation.

Motion Prompting: Controlling Video Generation with Motion Trajectories SG-I2V: Self-Guided Trajectory Control in Image-to-Video Generation

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-11T23:15:09.729269Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T23:15:09.729269Z digest=sha256:46698063d1e8ab4c4193fa07d040fab06ee8c60eaf775cc2cb9310e70e8bfcbe

Observation 3c00b787-94c3-4630-8d7c-a7a35aef954d · outbound

This paper cites MOFA-Video: Control- lable image animation via generative motion field adaptions in frozen image-to-video diffusion model.

Motion Prompting: Controlling Video Generation with Motion Trajectories MOFA-Video: Control- lable image animation via generative motion field adaptions in frozen image-to-video diffusion model

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:15:11.158293Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T23:15:09.733580Z digest=sha256:e05212522a3a87497ccebc902d2aaab94cb4f61c8f2098bd8e5c6d9b79a2cc0a

Observation fbbe5162-c8e1-4bab-98e8-c50cc1189c87 · outbound

This paper cites Learning-based video motion magnification.

Motion Prompting: Controlling Video Generation with Motion Trajectories Learning-based video motion magnification

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:15:11.139410Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T23:15:09.737575Z digest=sha256:bae0d35c429a8e8cbfaa0f14679da81fc65f569202e09813a125aea82aa755fd

Observation e67757e8-4016-40c0-af7a-9cacb7aa11be · outbound

This paper cites Drag Your GAN: Interactive point-based manipulation on the generative image manifold.

Motion Prompting: Controlling Video Generation with Motion Trajectories Drag Your GAN: Interactive point-based manipulation on the generative image manifold

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:15:11.123059Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T23:15:09.742060Z digest=sha256:a9263248afdef654708d8bd5c3a248ef23081d2a1ea9a8601dc9350b9b1f92e8

Observation c304b780-dd7e-4183-80bd-005f17ce4bab · outbound

This paper cites Self- supervised motion magnification by backpropagating through optical flow.

Motion Prompting: Controlling Video Generation with Motion Trajectories Self- supervised motion magnification by backpropagating through optical flow

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:15:11.100072Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T23:15:09.745761Z digest=sha256:f2eb789a7b3a02f4950cc430d647fdea93c0009f6c30d154fcc00a283644bc22

Observation 2d24d3a0-9e52-4ace-a690-0c243163024c · outbound

This paper cites ControlNeXt: Powerful and Efficient Control for Image and Video Generation.

Motion Prompting: Controlling Video Generation with Motion Trajectories ControlNeXt: Powerful and Efficient Control for Image and Video Generation

Reference 50

Resolution
unresolved
no resolver link, observed 2026-08-11T23:15:09.749192Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T23:15:09.749192Z digest=sha256:848af1557a2c4dec517b194a377e9ea3acba431b3b439fd93a5eafe7f1026779

Observation 3e82726e-7f70-408e-ba0d-c382ae906329 · outbound

This paper cites UniDepth: Universal monocular metric depth estimation.

Motion Prompting: Controlling Video Generation with Motion Trajectories UniDepth: Universal monocular metric depth estimation

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:15:11.085342Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T23:15:09.753689Z digest=sha256:40f3b06c8306b52f9a917189c74bad9e128bfd997c66d600c39b8efebbbee5de

Observation d2fbb488-204e-460f-9e49-bab6158db743 · outbound

This paper cites Movie Gen: A Cast of Media Foundation Models.

Motion Prompting: Controlling Video Generation with Motion Trajectories Movie Gen: A Cast of Media Foundation Models

Reference 52

Resolution
unresolved
no resolver link, observed 2026-08-11T23:15:09.759452Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T23:15:09.759452Z digest=sha256:4785cf4cf46e6dbb4f9cd64e8e7e049158f2db1969a6187d5d64479c90554091

Observation 4265305f-d19b-4a02-b742-684fcfb1f761 · outbound

This paper cites The 2017 DAVIS Challenge on Video Object Segmentation.

Motion Prompting: Controlling Video Generation with Motion Trajectories The 2017 DAVIS Challenge on Video Object Segmentation

Reference 53

Resolution
unresolved
no resolver link, observed 2026-08-11T23:15:09.765019Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T23:15:09.765019Z digest=sha256:dfd5b98c4b82739dc61d269164c16cc9ac28e9d505bc7032a50201947e5ebc5b

Observation 71f7cae0-4163-44e3-b5f7-3b53358dbe7d · outbound

This paper cites FreeTraj: Tuning-Free Trajectory Control in Video Diffusion Models.

Motion Prompting: Controlling Video Generation with Motion Trajectories FreeTraj: Tuning-Free Trajectory Control in Video Diffusion Models

Reference 54

Resolution
unresolved
no resolver link, observed 2026-08-11T23:15:09.769813Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T23:15:09.769813Z digest=sha256:3584b291d48a52a9fec666454c2777a5bd747765c9fed7fe46789245800bd071

Observation 9ef3e0bd-1e42-4c87-a533-b78daa87c848 · outbound

This paper cites Customize-a-video: One-shot motion customization of text- to-video diffusion models.

Motion Prompting: Controlling Video Generation with Motion Trajectories Customize-a-video: One-shot motion customization of text- to-video diffusion models

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:15:11.070554Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T23:15:09.773831Z digest=sha256:06975c88ad601d0cdb430e770b6fc0a261b3571ebd700f9c07ff083d8a08f4b4

Observation de530a60-27cf-4c8c-be28-2804485ab5cb · outbound

This paper cites Pathways on the Image Manifold: Image Editing via Video Generation.

Motion Prompting: Controlling Video Generation with Motion Trajectories Pathways on the Image Manifold: Image Editing via Video Generation

Reference 56

Resolution
unresolved
no resolver link, observed 2026-08-11T23:15:09.778793Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T23:15:09.778793Z digest=sha256:e0f88e055617fe13041f84697d4b23113a2c98f94924d1a329d63ed712bf33ad

Observation 7df9ad55-bd98-4de3-9306-68147b544800 · outbound

This paper cites Dreambooth: Fine tuning text-to-image diffusion models for subject-driven generation.

Motion Prompting: Controlling Video Generation with Motion Trajectories Dreambooth: Fine tuning text-to-image diffusion models for subject-driven generation

Reference 57

Resolution
unresolved
no resolver link, observed 2026-08-11T23:15:09.787278Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T23:15:09.787278Z digest=sha256:a92ae961f8c685aef2824cad0c28ac964b9f041c176a28cf0370c98ea33bfcde

Observation 41d51b3b-0174-4773-afa5-917381d17368 · outbound

This paper cites Particle video: Long-range mo- tion estimation using point trajectories.

Motion Prompting: Controlling Video Generation with Motion Trajectories Particle video: Long-range mo- tion estimation using point trajectories

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:15:11.046701Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T23:15:09.798796Z digest=sha256:fbda18f896024178686b73e7a7a658d3c032437163a8c1454d1d30c4aa975168

Observation 531f5095-2308-4079-9e26-60c322ed8672 · outbound

This paper cites GenWarp: Single image to novel views with semantic-preserving generative warping.

Motion Prompting: Controlling Video Generation with Motion Trajectories GenWarp: Single image to novel views with semantic-preserving generative warping

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:15:11.031958Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T23:15:09.803063Z digest=sha256:b3a324f0ffbdfe745cc0cc5bd1b50e205329be8c9922722704cb50255e45667e

Observation 02b8bef7-d269-4b65-878f-470736a56193 · outbound

This paper cites Adafactor: Adaptive learning rates with sublinear memory cost.

Motion Prompting: Controlling Video Generation with Motion Trajectories Adafactor: Adaptive learning rates with sublinear memory cost

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:15:11.008508Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T23:15:09.808129Z digest=sha256:986540f14c73bb7790781f4982b59a02507771e64744082e14590e069e16e169

Observation 916b6c0a-8895-4a84-a9a1-9c33f60f430b · outbound

This paper cites Motion-I2V: Consistent and controllable image-to-video generation with explicit motion modeling.

Motion Prompting: Controlling Video Generation with Motion Trajectories Motion-I2V: Consistent and controllable image-to-video generation with explicit motion modeling

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:15:10.988236Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T23:15:09.816076Z digest=sha256:c4fd07ceee4495256245cb4348585ab10a683a8f92d0a9020d0601c98d3c6906

Observation 2aeeb3de-ef1b-47eb-a96f-abb60c1ae3e1 · outbound

This paper cites DragDiffusion: Harnessing Diffusion Models for Interactive Point-based Image Editing.

Motion Prompting: Controlling Video Generation with Motion Trajectories DragDiffusion: Harnessing Diffusion Models for Interactive Point-based Image Editing

Reference 62

Resolution
unresolved
no resolver link, observed 2026-08-11T23:15:09.819863Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T23:15:09.819863Z digest=sha256:1a18fcbd07b28536f41b437a13d935c46d9d49e60373e805abd8412d1f56b7be

Observation b3127973-ba00-45c0-9ace-81f3b0019a05 · outbound

This paper cites Self-supervised any- point tracking by contrastive random walks.

Motion Prompting: Controlling Video Generation with Motion Trajectories Self-supervised any- point tracking by contrastive random walks

Reference 63

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:15:10.959296Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T23:15:09.824249Z digest=sha256:d051000274763221614af9f30f8a9d85877c30d7b08968f18545dc6832f9b58e

Observation 0de65d5d-5cde-4c51-94f2-fb1e319b2806 · outbound

This paper cites Make-A-Video: Text-to-video generation without text-video data.

Motion Prompting: Controlling Video Generation with Motion Trajectories Make-A-Video: Text-to-video generation without text-video data

Reference 64

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:15:10.940092Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T23:15:09.828651Z digest=sha256:f6c3d3b1d4d498b89166f2b97f89e7457a4a89c84246104467d4bc66522a83b4

Observation 0a1d414d-b13f-4659-8d93-39eaec1292f7 · outbound

This paper cites Deep unsupervised learning using nonequilibrium thermodynamics.

Motion Prompting: Controlling Video Generation with Motion Trajectories Deep unsupervised learning using nonequilibrium thermodynamics

Reference 65

Resolution
unresolved
no resolver link, observed 2026-08-11T23:15:09.832619Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T23:15:09.832619Z digest=sha256:0d6b239c61be1a237c34fa45220b54ba1b456a5fd8d46141d3055755d8b65bc8

Observation 986015f8-eb53-4d60-831b-858ded6116a5 · outbound

This paper cites Denois- ing diffusion implicit models.

Motion Prompting: Controlling Video Generation with Motion Trajectories Denois- ing diffusion implicit models

Reference 66

Resolution
unresolved
no resolver link, observed 2026-08-11T23:15:09.837874Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T23:15:09.837874Z digest=sha256:4bd7ba132a3103c8f6f7836f3454707811a1dbb1069176ae28cab83ab2c7f17f

Observation 20366567-e67a-43ab-84e4-243a845f504a · outbound

This paper cites PWC-Net: CNNs for optical flow using pyramid, warping, and cost volume.

Motion Prompting: Controlling Video Generation with Motion Trajectories PWC-Net: CNNs for optical flow using pyramid, warping, and cost volume

Reference 67

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:15:10.886879Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T23:15:09.844122Z digest=sha256:c9de917ba3f1c5a1e1c63d99cfb86eefe11ce44edce00184d2a11b45ac2ceada

Observation 49118767-4fff-4e59-aa16-43c779c5f143 · outbound

This paper cites RAFT: Recurrent all-pairs field transforms for optical flow.

Motion Prompting: Controlling Video Generation with Motion Trajectories RAFT: Recurrent all-pairs field transforms for optical flow

Reference 68

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:15:10.873266Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T23:15:09.848013Z digest=sha256:237be1efade7d0b5e6cb98852c025c8a791a1107f1d3158bdadff5d89da5b5ac

Observation eff38aec-c801-4da8-b0c1-18af535e9e46 · outbound

This paper cites FVD: A new metric for video generation, 2019.

Motion Prompting: Controlling Video Generation with Motion Trajectories FVD: A new metric for video generation, 2019

Reference 69

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:15:10.859583Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T23:15:09.852404Z digest=sha256:ca9f0371897b4ac60cb52a9bced93cab82b057174ccdf98281a8079c1e43993e

Observation d041b92b-2948-411c-af59-53d0560cb9a1 · outbound

This paper cites Gomez, Lukasz Kaiser, and Illia Polosukhin.

Motion Prompting: Controlling Video Generation with Motion Trajectories Gomez, Lukasz Kaiser, and Illia Polosukhin

Reference 70

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:15:10.832559Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T23:15:09.856709Z digest=sha256:9d02089d8ffe1f391ecf3dc124037715f820ed445ef5d2ccd335f5b41526f0de

Observation 6ca1e49f-b662-4ff1-bee4-a843f3d06bd5 · outbound

This paper cites Phase-based video motion processing.

Motion Prompting: Controlling Video Generation with Motion Trajectories Phase-based video motion processing

Reference 71

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:15:10.817604Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T23:15:09.860581Z digest=sha256:4e6830358e0a8f61498743bb3a0ba9c8de829de8572f797d064415063767aa95

Observation 35bceebd-abbe-43ad-935b-f4cc5fa4f1a0 · outbound

This paper cites Boximator: Generat- ing rich and controllable motions for video synthesis, 2024.

Motion Prompting: Controlling Video Generation with Motion Trajectories Boximator: Generat- ing rich and controllable motions for video synthesis, 2024

Reference 72

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:15:10.788829Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T23:15:09.863885Z digest=sha256:7acca349c129c92f19f45cc1c0781b6868ccf7da71b7eae110d37ac406eb1245

Observation 13954fa9-01aa-48dd-884d-e045f68594e1 · outbound

This paper cites VideoComposer: Compositional video synthesis with motion controllability.

Motion Prompting: Controlling Video Generation with Motion Trajectories VideoComposer: Compositional video synthesis with motion controllability

Reference 73

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:15:10.769063Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T23:15:09.867851Z digest=sha256:b1b7982aaa6009ca218c58bd33f87f8e78997be5b5e881437e1e0248119a6a29

Observation 17858f21-f35b-4bb9-b25d-27f9675c9a16 · outbound

This paper cites Bovik, Hamid R.

Motion Prompting: Controlling Video Generation with Motion Trajectories Bovik, Hamid R

Reference 74

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:15:10.746540Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T23:15:09.872646Z digest=sha256:69e9c904190713064d66d9910ce8344c4649d5675967c589fe2093ac33e62b7a

Observation 24a988e2-f7bf-41cf-b794-790467687c3f · outbound

This paper cites Motionctrl: A unified and flexible motion controller for video generation.

Motion Prompting: Controlling Video Generation with Motion Trajectories Motionctrl: A unified and flexible motion controller for video generation

Reference 75

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no resolver link, observed 2026-08-11T23:15:09.878318Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T23:15:09.878318Z digest=sha256:d3dc9a9f937802c7bffae686d2e25edcc3a3bfc439d3546e011c71e50e37eda7

Observation 116ce3c4-33ac-4842-ae1b-2250ed84f902 · outbound

This paper cites Controlling Space and Time with Diffusion Models.

Motion Prompting: Controlling Video Generation with Motion Trajectories Controlling Space and Time with Diffusion Models

Reference 76

Resolution
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no resolver link, observed 2026-08-11T23:15:09.882381Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T23:15:09.882381Z digest=sha256:c31c81349468b8a20c35c2a7bfb9d7455e32b2cb19ac897930f8e1c891ddb293

Observation 848b3bdb-4f32-4abb-95a7-4df242a98696 · outbound

This paper cites Eulerian video mag- nification for revealing subtle changes in the world.

Motion Prompting: Controlling Video Generation with Motion Trajectories Eulerian video mag- nification for revealing subtle changes in the world

Reference 77

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:15:10.719093Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T23:15:09.887234Z digest=sha256:d0bd2b5c62fd8587899bdc8a5b50edf67686206c0f21e3b4e15c91ef5df17d6a

Observation b65cbec3-8668-4291-8375-9cec6e02f647 · outbound

This paper cites MotionBooth: Motion-Aware Customized Text-to-Video Generation.

Motion Prompting: Controlling Video Generation with Motion Trajectories MotionBooth: Motion-Aware Customized Text-to-Video Generation

Reference 78

Resolution
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no resolver link, observed 2026-08-11T23:15:09.891857Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T23:15:09.891857Z digest=sha256:35b7f4e3b6bead9b443283e2681c88066cdf528d311906ed7fd1ef137be30eb2

Observation 1a340a4c-bba0-4258-ae52-be05dfad9c91 · outbound

This paper cites DragAnything: Motion control for any- thing using entity representation.

Motion Prompting: Controlling Video Generation with Motion Trajectories DragAnything: Motion control for any- thing using entity representation

Reference 79

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:15:10.697837Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T23:15:09.897638Z digest=sha256:fcc9cef47a810f2620d2334bc2c7c21650302d8be73429b89fad8ff475a9e1b3

Observation 3e00c06e-00e2-441d-a619-41fddbc733ec · outbound

This paper cites Trajectory Attention for Fine-grained Video Motion Control.

Motion Prompting: Controlling Video Generation with Motion Trajectories Trajectory Attention for Fine-grained Video Motion Control

Reference 80

Resolution
unresolved
no resolver link, observed 2026-08-11T23:15:09.902814Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T23:15:09.902814Z digest=sha256:98fa16db621cb669109be7d475edf4bfd623fa252df530d2d7eed15049fe466a

Observation 48e2ec88-3c88-42ef-b1b7-9ae4f3519bfe · outbound

This paper cites DynamiCrafter: Animating open-domain images with video diffusion priors.

Motion Prompting: Controlling Video Generation with Motion Trajectories DynamiCrafter: Animating open-domain images with video diffusion priors

Reference 81

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:15:10.666792Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T23:15:09.907341Z digest=sha256:d959a664726fd59ce74f6a1121db22b4b00a23532e4ef64e6dbb426c3df200f9

Observation 106f232a-5508-43f0-beb3-3f8bb790e4de · outbound

This paper cites MagicAnimate: Temporally consistent human image animation using diffusion model.

Motion Prompting: Controlling Video Generation with Motion Trajectories MagicAnimate: Temporally consistent human image animation using diffusion model

Reference 82

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:15:10.651531Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T23:15:09.911858Z digest=sha256:f112d4a3cc3bd7d04114879a0c31a500aa3a1d22717b889651fbe6af8d7ae840

Observation a447bdb1-2a06-4ba4-b034-53ae484edf1f · outbound

This paper cites Video as the New Language for Real-World Decision Making.

Motion Prompting: Controlling Video Generation with Motion Trajectories Video as the New Language for Real-World Decision Making

Reference 83

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no resolver link, observed 2026-08-11T23:15:09.918380Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T23:15:09.918380Z digest=sha256:6ed03d64971338ffdf83c6ab5f16ad88a5cb7f323b14592b86b8862b2e29067f

Observation ea9265c9-8b38-4ac3-861f-e03b21be9c51 · outbound

This paper cites DragNUWA: Fine-grained Control in Video Generation by Integrating Text, Image, and Trajectory.

Motion Prompting: Controlling Video Generation with Motion Trajectories DragNUWA: Fine-grained Control in Video Generation by Integrating Text, Image, and Trajectory

Reference 84

Resolution
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no resolver link, observed 2026-08-11T23:15:09.926672Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T23:15:09.926672Z digest=sha256:09f545e0a72aeae8328ae29dd089806114018bf7d82a585a9a0f3f730fc326b4

Observation 0893d214-0b13-4d61-bf34-f2ce55bee375 · outbound

This paper cites Lucidsim: Learning agile visual locomo- tion from generated images.

Motion Prompting: Controlling Video Generation with Motion Trajectories Lucidsim: Learning agile visual locomo- tion from generated images

Reference 85

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:15:10.637727Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T23:15:09.933225Z digest=sha256:ed445ede1082c77703b9a34cb97068f9c5ea1dab4fe6a9b1aad153376ff1e319

Observation c486de05-84bd-40fc-a3a8-de6e882237a3 · outbound

This paper cites PhysDiff: Physics-guided human motion diffusion model.

Motion Prompting: Controlling Video Generation with Motion Trajectories PhysDiff: Physics-guided human motion diffusion model

Reference 86

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:15:10.624648Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T23:15:09.938257Z digest=sha256:67a3c340e3d9328338254439bfeb2dcd3607e503c0fca1c1b7ddae9c4ec6d2cb

Observation 8380f549-3d30-4b63-a1d2-ed96fa5319b9 · outbound

This paper cites Adding conditional control to text-to-image diffusion models.

Motion Prompting: Controlling Video Generation with Motion Trajectories Adding conditional control to text-to-image diffusion models

Reference 87

Resolution
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no resolver link, observed 2026-08-11T23:15:09.945069Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T23:15:09.945069Z digest=sha256:a972d3ae0849049df0327543132129e80d306d714c3e6b1ee40a6f519a2ce5d8

Observation 249d1cdc-47ae-4c28-b657-82cf22ee9063 · outbound

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

Motion Prompting: Controlling Video Generation with Motion Trajectories The unreasonable effectiveness of deep features as a perceptual metric

Reference 88

Resolution
unresolved
no resolver link, observed 2026-08-11T23:15:09.951885Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T23:15:09.951885Z digest=sha256:ac1b1a235627f4c1d7867acc84791bf9d32dc0a7f84b4429bd1feb46facc822c

Observation e61effd3-2e84-4d63-b48f-22e6feff3f98 · outbound

This paper cites Tora: Trajectory-oriented Diffusion Transformer for Video Generation.

Motion Prompting: Controlling Video Generation with Motion Trajectories Tora: Trajectory-oriented Diffusion Transformer for Video Generation

Reference 89

Resolution
unresolved
no resolver link, observed 2026-08-11T23:15:09.957478Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T23:15:09.957478Z digest=sha256:852939545fc17ce86d738e949590c549e8ccb733bca733eca9b4201d3ff6ad94

Observation 14e3411a-512c-40a6-956e-2b636ffd269f · outbound

This paper cites MotionDirector: Motion customization of text-to-video diffusion models.

Motion Prompting: Controlling Video Generation with Motion Trajectories MotionDirector: Motion customization of text-to-video diffusion models

Reference 90

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:15:10.581676Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T23:15:09.964901Z digest=sha256:658b349304c55654b6ddf87e0761077a9fee4fc0267649084197d155e5ac6269

Observation b485a73d-cd19-4df2-8bf7-5ab42479d688 · outbound

This paper cites Harley, Bokui Shen, Gordon Wet- zstein, and Leonidas J.

Motion Prompting: Controlling Video Generation with Motion Trajectories Harley, Bokui Shen, Gordon Wet- zstein, and Leonidas J

Reference 91

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:15:10.562582Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T23:15:09.971109Z digest=sha256:04fb9c9b28b2408f29ab81a55ee8221773cf3de25413c6f962f9d7bcb261930e

Observation 5f42c8c4-7007-46d4-9e39-574281667bea · outbound

This paper cites TrackGo: A Flexible and Efficient Method for Controllable Video Generation.

Motion Prompting: Controlling Video Generation with Motion Trajectories TrackGo: A Flexible and Efficient Method for Controllable Video Generation

Reference 92

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malformed identifier
no resolver link, observed 2026-08-11T23:15:09.975735Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T23:15:09.975735Z digest=sha256:951f911a720ebaed654e81f6388eca9cabe2c28bfe487ff2a6c481233c003882

Pith citing papers

Observation d00f4606-37e4-4890-ab92-5a3d4b956da2 · inbound

Diffusion as Shader: 3D-aware Video Diffusion for Versatile Video Generation Control cites this paper.

Diffusion as Shader: 3D-aware Video Diffusion for Versatile Video Generation Control Motion Prompting: Controlling Video Generation with Motion Trajectories

Reference 2024

Resolution
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no resolver link, observed 2026-08-10T21:49:53.831850Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:49:53.831850Z digest=sha256:26da59c8afa6c7d8f84fa1acbb07d2b674c3e4043e63c920cfccab3720855368

Observation be029770-c4ed-401c-aa61-76a70fe724f6 · inbound

Perception-as-Control: Fine-grained Controllable Image Animation with 3D-aware Motion Representation cites this paper.

Perception-as-Control: Fine-grained Controllable Image Animation with 3D-aware Motion Representation Motion Prompting: Controlling Video Generation with Motion Trajectories

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-10T21:25:45.756636Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:25:45.756636Z digest=sha256:45ca529e2cc0b392afc79315f9d9d50c40634c110bdbe22045b583f0291e80c1

Observation 6de1713a-5784-4bcc-b08e-7a564a299bbc · inbound

Generative Physical AI in Vision: A Survey cites this paper.

Generative Physical AI in Vision: A Survey Motion Prompting: Controlling Video Generation with Motion Trajectories

Reference 63

Resolution
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no resolver link, observed 2026-08-10T18:53:00.182302Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T18:53:00.182302Z digest=sha256:8a142b75182e465bab07654a6eae7e7f01c31bc271da94c796e3d7034b85ea45

Observation d4da32fd-4a63-4315-ad42-2be69c60b89c · inbound

RoboGrasp: A Universal Grasping Policy for Robust Robotic Control cites this paper.

RoboGrasp: A Universal Grasping Policy for Robust Robotic Control Motion Prompting: Controlling Video Generation with Motion Trajectories

Reference 4

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unresolved
no resolver link, observed 2026-08-09T06:05:09.921157Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T06:05:09.921157Z digest=sha256:4dd92d0b3c78e268269c9c8146dcaef703c34aa018f10e1c26607e3d18143f8c

Observation 7013757d-1af1-4250-8b1c-15a859d9decc · inbound

VidCRAFT3: Camera, Object, and Lighting Control for Image-to-Video Generation cites this paper.

VidCRAFT3: Camera, Object, and Lighting Control for Image-to-Video Generation Motion Prompting: Controlling Video Generation with Motion Trajectories

Reference 73

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unresolved
no resolver link, observed 2026-08-08T12:31:41.996769Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T12:31:41.996769Z digest=sha256:dbb6f0ea1059dcb15b1cfad8a6d4b1a8c7bdb8c861b6e5ee49a1e49c66c75ad3

Observation 2fe49bbb-275f-40b7-ba3d-82fb1a129cdb · inbound

CineMaster: A 3D-Aware and Controllable Framework for Cinematic Text-to-Video Generation cites this paper.

CineMaster: A 3D-Aware and Controllable Framework for Cinematic Text-to-Video Generation Motion Prompting: Controlling Video Generation with Motion Trajectories

Reference 11

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unresolved
no resolver link, observed 2026-08-08T00:02:56.763785Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T00:02:56.763785Z digest=sha256:d5df9d3d3174753ee2c68dc2f8d9c4739ad168b421de50ec18ca5f0bb0eec7a5

Observation 15d331e9-2cac-4c36-9bf8-1b1c27da5c4e · inbound

FlowLoss: Dynamic Flow-Conditioned Loss Strategy for Video Diffusion Models cites this paper.

FlowLoss: Dynamic Flow-Conditioned Loss Strategy for Video Diffusion Models Motion Prompting: Controlling Video Generation with Motion Trajectories

Reference 19

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unresolved
no resolver link, observed 2026-08-16T11:49:08.588781Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:49:08.588781Z digest=sha256:858c60446f389cece8f536c079347f92a3f27be9fbf381a5f269860c85da620d

Observation 545ef336-696b-4fb4-b71a-5525aabf5962 · inbound

FlowDreamer: A RGB-D World Model with Flow-based Motion Representations for Robot Manipulation cites this paper.

FlowDreamer: A RGB-D World Model with Flow-based Motion Representations for Robot Manipulation Motion Prompting: Controlling Video Generation with Motion Trajectories

Reference 22

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unresolved
no resolver link, observed 2026-08-15T21:21:30.060552Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:21:30.060552Z digest=sha256:954a584167d284260a3f118de2b7f6825e2328072994a4275b05031ce1a2763c

Observation c1c3caa5-b181-45d6-ad33-00931464ecde · inbound

AniCrafter: Customizing Realistic Human-Centric Animation via Avatar-Background Conditioning in Video Diffusion Models cites this paper.

AniCrafter: Customizing Realistic Human-Centric Animation via Avatar-Background Conditioning in Video Diffusion Models Motion Prompting: Controlling Video Generation with Motion Trajectories

Reference 10

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unresolved
no resolver link, observed 2026-08-07T14:01:08.521799Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:01:08.521799Z digest=sha256:f8f078133baaa59dd740644f5b7a21796b4217c0695854c4d67ce96f03ca48c6

Observation 72204e61-ba5f-4f51-9737-5b48e32477aa · inbound

ATI: Any Trajectory Instruction for Controllable Video Generation cites this paper.

ATI: Any Trajectory Instruction for Controllable Video Generation Motion Prompting: Controlling Video Generation with Motion Trajectories

Reference 8

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unresolved
no resolver link, observed 2026-08-07T12:59:45.335352Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:59:45.335352Z digest=sha256:d6bf9cf2996cbf949b096d90ccd4d5b86024f564a59f2b165bbc702494e3059a

Observation 6066171c-b810-4915-9367-280e54f8c5e5 · inbound

Emergent Temporal Correspondences from Video Diffusion Transformers cites this paper.

Emergent Temporal Correspondences from Video Diffusion Transformers Motion Prompting: Controlling Video Generation with Motion Trajectories

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-15T19:13:38.975658Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T19:13:38.975658Z digest=sha256:7407cd9475f40e679a8313233aafdcf79350e36402380a726c72d85136b7ce49

Observation 9fbfa743-444d-4e5b-a54a-8433df6a78d4 · inbound

EndoControlMag: Robust Endoscopic Vascular Motion Magnification with Periodic Reference Resetting and Hierarchical Tissue-aware Dual-Mask Control cites this paper.

EndoControlMag: Robust Endoscopic Vascular Motion Magnification with Periodic Reference Resetting and Hierarchical Tissue-aware Dual-Mask Control Motion Prompting: Controlling Video Generation with Motion Trajectories

Reference 14

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unresolved
no resolver link, observed 2026-08-06T15:40:18.496464Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:40:18.496464Z digest=sha256:60405d10e38e070d1b6e020bca0dac277fadf15b48cba7b1fc8a09620219daab

Observation e67a4cd9-5fa8-426e-9919-e6c2f4ce8062 · inbound

Precise Action-to-Video Generation Through Visual Action Prompts cites this paper.

Precise Action-to-Video Generation Through Visual Action Prompts Motion Prompting: Controlling Video Generation with Motion Trajectories

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-05T19:15:31.659153Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T19:15:31.659153Z digest=sha256:488d7b261f54802cf70456df9b3b5facb3e6f1f9924053f26c25aa6765c0127b

Observation f114cad5-3a23-437f-b7fc-9982b8b31f6e · inbound

Video models are zero-shot learners and reasoners cites this paper.

Video models are zero-shot learners and reasoners Motion Prompting: Controlling Video Generation with Motion Trajectories

Reference 94

Resolution
metadata mismatch
arxiv_id, observed 2026-05-14T02:16:45.808266Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-14T02:16:45.554252Z digest=sha256:497e7eceb77a2fc40fedc1d199e826e03e534ea55a684b8b06ac1db63fac8040

Observation 10fee8f7-5aed-45f8-805a-843aee455ed4 · inbound

MoRight: Motion Control Done Right cites this paper.

MoRight: Motion Control Done Right Motion Prompting: Controlling Video Generation with Motion Trajectories

Reference 24

Resolution
verified exact
arxiv_id, observed 2026-05-11T06:26:01.111821Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-10T17:38:03.776766Z digest=sha256:d8a47eeeefa84f511f4a373d0df7efcb0e6872d84f734eb9dd5b9efcd1810bf5

Observation 6f9d5cf9-6733-4571-ab58-0efb222a29fd · inbound

CoMoGen: COntrollable MOtion Dynamics and Interactions with Mask-Guided Video GENeration cites this paper.

CoMoGen: COntrollable MOtion Dynamics and Interactions with Mask-Guided Video GENeration Motion Prompting: Controlling Video Generation with Motion Trajectories

Reference 16

Resolution
verified exact
arxiv_id, observed 2026-05-25T05:45:23.586153Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-25T05:44:58.627525Z digest=sha256:43a4b4a9da688e49e665066533280a884f51ebb451f3bda8a59013d9b769a079

Observation d22e8d52-fcb9-4c59-860b-7b4dae10bc76 · inbound

Unified 3D Scene Understanding Through Physical World Modeling cites this paper.

Unified 3D Scene Understanding Through Physical World Modeling Motion Prompting: Controlling Video Generation with Motion Trajectories

Reference 7

Resolution
verified exact
arxiv_id, observed 2026-06-30T14:24:45.145596Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-06-30T14:19:03.682306Z digest=sha256:f3c845a81293ed5113e0e844b0f8c5c7e0a1e4f07a7a2a2c8056de34590acc39

Observation c4c0404c-a188-485e-b398-5a0a4d6e0132 · inbound

{\Phi}-Noise: Training-Free Temporal Video Conditioning via Phase-Based Noise Manipulation cites this paper.

{\Phi}-Noise: Training-Free Temporal Video Conditioning via Phase-Based Noise Manipulation Motion Prompting: Controlling Video Generation with Motion Trajectories

Reference 15

Resolution
metadata mismatch
arxiv_id, observed 2026-06-30T13:44:40.562571Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-06-30T13:43:50.161133Z digest=sha256:3f9e306286a686bcff48183ab9d729b2c5161510d27b02f365bc02761442c0a3

Observation 74594af2-23a7-4f69-b913-614814ca5d05 · inbound

OptiWorld: Optimal Control for Video World Generation under Physical Constraints cites this paper.

OptiWorld: Optimal Control for Video World Generation under Physical Constraints Motion Prompting: Controlling Video Generation with Motion Trajectories

Reference 70

Resolution
metadata mismatch
arxiv_id, observed 2026-06-28T19:32:35.547225Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-06-28T19:02:51.848742Z digest=sha256:5107b26f87735cdb1a7ba6823b672202a07392006e4467746acec5ba0cda79a7

Observation 0039afa0-02ed-44a7-992d-45e0f4307485 · inbound

Streaming Video Generation with Streaming Force Control cites this paper.

Streaming Video Generation with Streaming Force Control Motion Prompting: Controlling Video Generation with Motion Trajectories

Reference 14

Resolution
verified exact
arxiv_id, observed 2026-07-02T17:07:12.373104Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-06-27T22:14:32.465663Z digest=sha256:e22927e470a906531b497dfccc942a925e7195ddefa8678750ce382ab6677561

Observation e4a35141-f5ee-4c97-99f7-f03ef873a1de · inbound

EgoEngine: From Egocentric Human Videos to High-Fidelity Dexterous Robot Demonstrations cites this paper.

EgoEngine: From Egocentric Human Videos to High-Fidelity Dexterous Robot Demonstrations Motion Prompting: Controlling Video Generation with Motion Trajectories

Reference 39

Resolution
verified exact
arxiv_id, observed 2026-07-03T11:38:05.175290Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-06-27T09:27:43.453005Z digest=sha256:09b14ec0bd731e8a8ec8885bb92c9119354ca521bd404e0ed2e97f33ff306f4f

Observation ec84fdf4-280d-4aed-b802-98fefc48a440 · inbound

FlexComposer: Unified Video Compositing from Images to Dynamic Footage with Flexible Trajectory Control cites this paper.

FlexComposer: Unified Video Compositing from Images to Dynamic Footage with Flexible Trajectory Control Motion Prompting: Controlling Video Generation with Motion Trajectories

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-03T03:17:53.145887Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T03:17:53.145887Z digest=sha256:15e580cb8e366a0b7f0085e5bd2d7aba4229540c0b5ed1b466eefa0a607c9ed5

Observation 700ba422-bcc4-4fa8-801b-d335040307a4 · inbound

Distilling Physical Priors into Streaming World Models cites this paper.

Distilling Physical Priors into Streaming World Models Motion Prompting: Controlling Video Generation with Motion Trajectories

Reference 170

Resolution
unresolved
no resolver link, observed 2026-08-12T00:40:08.610531Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T00:40:08.610531Z digest=sha256:5659f16ad3681dcd21948cde862314e82ea3a2292b8f497ecebd5d4d6f5cbd90