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Paper Citation Record · LEDGER

Motion Prompting: Controlling Video Generation with Motion Trajectories

As of 14 August 2026, this Paper Citation Record lists 92 of 92 outbound references and 20 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 112 of 112 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 20 of 20 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T00:40:08.610531Z

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:b99cc3598841d5bc89da02d1e34f1106ed75c19d86d2a20d08a5dd56fa4e63b6

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:a22559f0c406005a44fcc61cb7f6eab62bed6075209008b0419af27dfeda150d

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=sha256:2df00ee7e5672cef33aaa496e95968c3bf448f360b06c7103751c65c8e058f32

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=sha256:23d6f2f41214626f19173957cec23fd926349713d0860d4e2ae7fc98991acf0d

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:e689bd6a5ce6c81fa571269a0ec210f612979a31e4dff4e6c029a486cc292ac4

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=sha256:551f6a44c80f25c69af99e9df382f204d3a3979c205a197a9de62749b66116b7

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=sha256:0f542f596bc760cb6a0932103388b48933bb2e42ceadadd041cf91fdb2fba12f

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:ad038f3ec9fefaee928a2ee3af6ac339226a70ad3746bb1aac3ed9cd97fdc208

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=sha256:9c045f3f4000c831ccbf1569c3348fca32df0285641784dd0cfd204c61b08143

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=sha256:4a8f752f01e4b4a5843d04acecb8cfb6504729493d95a3a4bff4b8001d51ace9

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:c87cd2c6600269fe722b0a000bddc48e22fdb73fe9e0add707ef16095fd95037

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=sha256:7652701bdccd5a323d69ac03ea93ddb8f8de3e1a8cf08fb06588229e542fc65c

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:fa98ee49eb6894de021437d757953f42e5522f40a2ba6b5bd73075b4d044c55b

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:ac6d02aa0d746d5384b70e47f838ccc313948094f0362ea5d5f599dae990da92

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:a13ef1f7b05024f3ff9add562d5b013641030b3f63400c28470cbfc49f69db06

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:c1de9f7476a83f3034721daf54a6657d499b2b286af86383e10f7b2dc4587fca

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=sha256:2ecd0dd9171eb7ca9c7d43659d2c5d1b52cec0b3cb15d69888afaeebc1edca3e

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=sha256:702ad0a78a672d5c1cedf106c2fa3ffed3066c63a58c37b7a50e9d62264bb790

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=sha256:8ac42da8def7c560b1124e4c88e4b14b842bdca2ba77926518101b617390ec42

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=sha256:34a0ee4456972d88225f048272ce7cba54d3ea24723783fd52dd309c8e832941

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T23:15:09.594435Z digest=sha256:5f3cb1bb97bc4bb22bedb92fb4a457f44b072a9b9a2a713c12415563d128eb9a

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:baa0c49e83247d6393f0d1fcfa83c0f41768879af6ada0ec6baa5c4a98cbb98a

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T23:15:09.608803Z digest=sha256:41d92030b47c885a37781dfe1b3724edee1c6f3800b50e4ba879d2cf8caf918f

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:db55fc9d859b16b580aa1bbd07822a923a530ece037fff2a273f3c90eeaff293

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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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T23:15:09.633140Z digest=sha256:ee39f4917edab66d3f782c15e9e1a11e8a834249c26d181d5dd17e68cfe53b46

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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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:ce4f5250b500b82c07c6f505ec2f1b7aa97b9065fc370e832c8a9d7ce7304c4f

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T23:15:09.652953Z digest=sha256:984cc5406bc3da42d8504c1241bc28aa6a6efd67ed43f17ca3b59d6b801da2f8

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 2026-08-14T06:32:32.682623+00:00.

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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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T23:15:09.669547Z digest=sha256:3e6ef84a754eaf4c52ca8808891aca174ef9b4b60dc1e1c736c944218f34bae9

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T23:15:09.675062Z digest=sha256:677e2b34785f2e632ebfa8dea926895ffccb0b48f423ef130171cc491a1e16c7

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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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T23:15:09.680845Z digest=sha256:5a703677a870420884d198c1d5b728e86d8a44845aa2f54bcd17b7a5ff10249a

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=sha256:135bd484be78423b160decc15ea9571214dfbf9450ad6addf245a01b69d56466

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T23:15:09.692355Z digest=sha256:68b568a2a7eb71c379ec4c75dc97540ec0fa101a2e4054f08b252199e8270458

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=sha256:890123f4e2e4c2917ea8019a6df68b67e04d8a8f6eb97ed719ca1649273fdbb7

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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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T23:15:09.703678Z digest=sha256:c5011edbc6de02e516bc7b375cb245570b63c74da5191240171bb08c0a2d4131

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T23:15:09.708621Z digest=sha256:a4901a447dd7cd6d16c4de864c935df3d614299d96d5e771304e5030e6cc0b58

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T23:15:09.713300Z digest=sha256:ce15f5cc83bf101bd1bf2408b9bb2f8e12ba8694ef2c1f9eba2ebc79909ef1cd

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T23:15:09.717385Z digest=sha256:efad5047d2e35e8119c88ba38019e956eb2ea10329577977897b1bb174b47b29

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:c4e09b1f688edf93d9affd04cf5a254142e941d28766086e5ea52a6e9e711fd9

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=sha256:461c52404d68b94c41ea30c6da963d213ce7da2d8940f1f5d6a99a57284e38af

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:dff988b70915258b555d6b60aacc5fe95718f7b57f44ec150a4d506b350a4697

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T23:15:09.733580Z digest=sha256:215d8b42216c47847a601362e9d7f6a6fdee775096354cb527d16ef2072bd5ed

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T23:15:09.737575Z digest=sha256:ae412bdbad4b7aab778006809b89ec6b9a1fcd9bea18da36fcb470bf24953746

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T23:15:09.742060Z digest=sha256:3f0faa98dce9a5e7882305e16df925103d553a33cd966d380e5106d3274074a7

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T23:15:09.745761Z digest=sha256:5f93298188dfb9025fad7581d8804cd29b5d294a05198ded2632167014cfaa1c

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=sha256:286f910dd37e19328b37c21bf187f2fe2ffb20e0fcbf788508cc4f9dd68ac4f5

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T23:15:09.753689Z digest=sha256:e5c8866c2ac00c0ad2510738b7aa096435837157d326d7420521114754c4abd2

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=sha256:36c9e4c2beca37399098c4155ba196df8f815189bfbd0ed6648c132afb4e1e38

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:d698fa22591f728c814b0d95cc20ba5958ca66ff6a8c93763e2de366b5f7cc50

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:e1c84b36a42512c25589db8adfc3b39f8f76ec21662e9e3e72677db73deca60d

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T23:15:09.773831Z digest=sha256:30f0a5df22b5d1c728b8b11f8603a24793ecb92c40bd4a143d1a773811e344d4

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=sha256:21cffbd74d9f10358e41ba8fbce10c9908d127ecb94c9c33c32487e7daf549c8

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:d5bc43602b917810121853c053ebfda7ca1f252cfa61c6fd29ab400ae6096d43

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T23:15:09.798796Z digest=sha256:c0a733d926d016414e67798c9d913fc7438b88a3608b60a3d38dce508e463db6

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T23:15:09.803063Z digest=sha256:4a7c97c8df1d03df2eeeb99056607ad741278812885401b83aa525ad67f12d22

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T23:15:09.808129Z digest=sha256:605f259e92928393a110d71338ff8dbd717f1dbfdd738303a6d976949ea59a28

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T23:15:09.816076Z digest=sha256:f75bf3023953b2b00c20e1f25966332e12dac8ae4636cc2b7109e23a2d057c99

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:d247b484fc6c80832fa01bad497340a33e9b3f3de6405045ce2b7694bdbb01d1

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T23:15:09.824249Z digest=sha256:4678bd1062d30f646800a62bed787d6287d4e7ee7308cb17abdafe42460160ef

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T23:15:09.828651Z digest=sha256:b51f5730406133fbdb71347900856b93ab1e45063c68aa479bcc57b212211e8f

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:f3de1ef52dd1acd41139326a249204bd2c70387d366a9f29659fe6929f2512f2

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:d7d791243d62062ee742c8a5b33d9afb2f59d2d29ef51770288412f9da0d99a1

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T23:15:09.844122Z digest=sha256:e928899ae023ae0da8140142fa1c8d8610e89bc49a3a6fc61e6ad5734e02c387

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T23:15:09.848013Z digest=sha256:8b9036265bf6182a6f359eb5405e0a0fb421598c83196cabd3402d0a1529d2e1

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T23:15:09.852404Z digest=sha256:0af45b150d4fb4aaa6aa785c0049846dd767f35db1cbae01b944bdf3b924f73a

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T23:15:09.856709Z digest=sha256:aa0c79d9802c4e978552aa0a6a5f0af72b229bac7049f886e95197910202f325

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T23:15:09.860581Z digest=sha256:b7965df6b3b649516f8249fad2a62e4371c4c30c4b830b2c322b12d54a4a50f9

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T23:15:09.863885Z digest=sha256:99478729411005824e8f6c08f547e5474bc62f9eedef6c322f433e9accfae6c4

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T23:15:09.867851Z digest=sha256:5bdf1c1891b8a73c34bab0ef57a49cabe09e27c2fd73799a0f169391a45239fc

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T23:15:09.872646Z digest=sha256:859117c049e506a2169f9003ca39b46c2864eb1fd664e7c8abe9db69b1747189

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:dc50c78bc8d46f43b8cfa23158de5f94a76109d3e5a246b5346eb6bdfb2b75cb

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

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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=sha256:3637ead8cd4e1f7495623132906242aba7bcc9bad0a088935ad97de050011296

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T23:15:09.887234Z digest=sha256:7654b5e73901c73c0266c15eb16c4aac4446e9c9705274a8fccadfca2c09fab6

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

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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=sha256:8aa040ac6f102ba9dd8712daa3aa5ab5f10d0d5b0f4eb08105ad6db7f7a2c718

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T23:15:09.897638Z digest=sha256:4cffb92d96bf219ac38145069a69317ab68deb751993827c382e339b4e6fa37d

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=sha256:8c8cb9affa6b129b2dc3506d6e44529410fa4f8477f78e8dac5ef2b3e8ecaf6f

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T23:15:09.907341Z digest=sha256:510553bcf543ecf1c3979699bb97de4e63b1f3c71c34c55ab31e92aeb020f9bd

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T23:15:09.911858Z digest=sha256:d44bde83a412fe1e4521c701732df230477e55fef307656e0180e4f868358b26

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=sha256:4ab3e2e395acda8a2e85e603b3c86b1f7c138166e26ce60349fb06495efaeaaa

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=sha256:2aadc2349e4449acf59d6c39125575ce825c334cd208025f678acad020c0aab6

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T23:15:09.933225Z digest=sha256:7672e043abbe8699530a30d24003f7ec1f5caa71ede7f25a2b51cc439c994be5

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T23:15:09.938257Z digest=sha256:554f67d9c13e25936555928aa591c7f717722a5519f1a438a6addd62f44d06f8

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=sha256:29082c7f785a37aee6f1ac70b30940f16131060b9389ffcb0d9728121ea69d42

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

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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=sha256:2744f1b4ffe2f8087208c66129dafbde33d3d28a2cdfe3460459fa7f7ae9deac

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:c0e3a3c25601bfa4af613b3e5931cfc3bca8a096d5ea75e4d733e43ac85ec975

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T23:15:09.964901Z digest=sha256:9f8d7cab54e49a171f433e04485948c7eb3fdfd008b4d874449cd8f1d58166d5

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T23:15:09.971109Z digest=sha256:f80f052575baa01fe240880adc764652771c8facd8456c58b06bb69b6cfabaed

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:ea67cc87b6b0f1469455448a9601d59df33a654d2a741531b82a391ed27df584

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

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unresolved
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:b1e9a616cba06e94934d44e8a0b24867999e91866e12141ecd7d1900574c2d0d

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=sha256:2fe1e677bf269326cbe2f7da6d88c13df190282ca673c8a61315ad7c117be6c0

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

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unresolved
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:f2c43a36be3df3b8ee784489be4212c9c73ee2a511c6d4ab1e65d8c8e1daa94e

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=sha256:09d5e16dadb16d227a958da0b18b08e7cb5958bd106df9fb1a8f5230a96ffbfe

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=sha256:74bd89761f74674b72cf034d4424da66feba0ed8658ca3f6b1080273aa20c5fd

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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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=sha256:912c16596531e8deeccd7cd43097f98ef6d22d65e1d05d9ef220ca61467786b0

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

Resolution
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=sha256:419e4d54742f600db9a8cb43f3e19896eb8f34c762ab7d5a927e53fda5a4c22b

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

Resolution
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:b25abaf886d761403b72e321e7f8d0cea89cc51b52dcdcbf1bc9e91e04ee2cfe

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=sha256:67050bcd8560a058c62df5798e89f52ac4e5bdeb2424a243af8bbaaba947689f

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:c576cc9dc83a1552ce5714a0445bea3943a3a8d4fabead205af3458682b54754

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-14T02:16:45.554252Z digest=sha256:9dcb56d9f01ac7c7125310a5d3ba240694b4573df036f5e1e7aae42dde7a9b10

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-10T17:38:03.776766Z digest=sha256:599616d7321e4038b111412a969ab4b60cdde48e356cf74a1bc78e66e14d6e40

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-25T05:44:58.627525Z digest=sha256:c588ee24035957172ec3d397eeb07c14c6a1713db03cbcf3b7e704db4bc3309f

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-06-30T14:19:03.682306Z digest=sha256:4cda864c3c5ffe35b5eecad88bc3766d33c1f0d9e62cf812017b35cac9b914ea

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-06-30T13:43:50.161133Z digest=sha256:91503a3c1256b7e82d025179764e25082788d3f5be72d0b91eb1462949d99c35

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-06-28T19:02:51.848742Z digest=sha256:3af41d1d41f9934c3f8c755b009f33dd10cfb90d6c9c4817586387ea19f7fabe

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-06-27T22:14:32.465663Z digest=sha256:86b7f013fbc96238cd1de7cf1b37d3a6a3f0d1b650f0abf501fdccedd8a7e915

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-06-27T09:27:43.453005Z digest=sha256:b57a6761d0d97e0f255995c7b58889980e2134ed449e72bd21eb83ff71a64f34

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=sha256:00bf50e37d076e1b357412270765933d979b5c6ebe2a34e22b918b6d89b04cc8

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=sha256:9b0282d4214faf1d741972d957f092c3b8e8a0fd98fb10b16ba5beb142935a5f