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Paper Citation Record · LEDGER

Trajectory Attention for Fine-grained Video Motion Control

As of 16 August 2026, this Paper Citation Record lists 39 of 39 outbound references and 25 inbound Pith citation observations for arXiv:2411.19324.

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

pith.paper-citation-record.v1
2411.19324 v1

Coverage vector

measured 39 of 39 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T10:21:24.026992Z

measured 64 of 64 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 25 of 25 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T11:31:56.567142Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T21:00:08.910142Z

Reference resolution

39 of 39 outbound references displayed

  • verified exact0
  • verified fuzzy5
  • unresolved34
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation e1bc211e-a821-4333-95ae-e8c98580ca40 · outbound

This paper cites VD3D: Taming Large Video Diffusion Transformers for 3D Camera Control.

Trajectory Attention for Fine-grained Video Motion Control VD3D: Taming Large Video Diffusion Transformers for 3D Camera Control

Reference 1

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T10:21:23.850592Z digest=sha256:2f8f24028f8a462eaf22f917aa1de9b807b501a009d699ad038e82b7a19bea88

Observation 69f03433-97b6-47e1-b02b-b9929d24b57b · outbound

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

Trajectory Attention for Fine-grained Video Motion Control Motion-Conditioned Diffusion Model for Controllable Video Synthesis

Reference 4

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source=pdf_text observed=2026-08-12T10:21:23.867430Z digest=sha256:a2bcebb2755da193ed6f5eb91bbe5878f0ddd21f21589c662e9a90d1ac3c1ddc

Observation c70da3eb-0931-487a-8b7b-8b9793b6f110 · outbound

This paper cites DragVideo: Interactive Drag-style Video Editing.

Trajectory Attention for Fine-grained Video Motion Control DragVideo: Interactive Drag-style Video Editing

Reference 5

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source=pdf_text observed=2026-08-12T10:21:23.872719Z digest=sha256:13851ed3fa44a52b5f509a3a6c0e229e5decf44c341fe42fdae5ce5af698f789

Observation b48cac38-91e3-482b-8ea0-7496db4626cf · outbound

This paper cites Motion Guidance: Diffusion-Based Image Editing with Differentiable Motion Estimators.

Trajectory Attention for Fine-grained Video Motion Control Motion Guidance: Diffusion-Based Image Editing with Differentiable Motion Estimators

Reference 6

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source=pdf_text observed=2026-08-12T10:21:23.877466Z digest=sha256:c272df82c49aa094cebd64e94c4c3ec44c9ef38dcc2cb579ef562ba02c00becf

Observation d8157c28-8621-491f-8c45-cafbe9108a6c · outbound

This paper cites Robust localization using relative and absolute position estimates.

Trajectory Attention for Fine-grained Video Motion Control Robust localization using relative and absolute position estimates

Reference 7

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verified fuzzy
raw_fallback, observed 2026-08-12T10:21:24.603680Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-12T10:21:23.882670Z digest=sha256:dd288f91a63616b59ae56fef3dce694015b0e5ef990893a9b435554fabe85779

Observation ffe9d62d-98b5-4cf3-8ec5-5fd697eaf6c1 · outbound

This paper cites LivePortrait: Efficient Portrait Animation with Stitching and Retargeting Control.

Trajectory Attention for Fine-grained Video Motion Control LivePortrait: Efficient Portrait Animation with Stitching and Retargeting Control

Reference 8

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-12T10:21:23.889209Z digest=sha256:1278cb2ad798dff7fca0d0bca00a690be8d88ed5af243ddc095d6e1e8afbfc1e

Observation df7b836e-0f54-4463-834e-29c63d5e783d · outbound

This paper cites SparseCtrl: Adding Sparse Controls to Text-to-Video Diffusion Models.

Trajectory Attention for Fine-grained Video Motion Control SparseCtrl: Adding Sparse Controls to Text-to-Video Diffusion Models

Reference 9

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source=pdf_text observed=2026-08-12T10:21:23.894012Z digest=sha256:653db3bb04c709c33ec10cc54751c178764e748e0960d94053c1736c1a00dded

Observation ec3df4da-a197-45b0-9f1b-58bfcde0a32f · outbound

This paper cites Training-free Camera Control for Video Generation.

Trajectory Attention for Fine-grained Video Motion Control Training-free Camera Control for Video Generation

Reference 11

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source=pdf_text observed=2026-08-12T10:21:23.902999Z digest=sha256:393f8ae64a99094780c3bb90db6558d6ff7fe01fd119f49dcfe3cce468844e5f

Observation c8f53c0f-a6d3-40cf-9677-aec4f9e82a04 · outbound

This paper cites MiraData: A Large-Scale Video Dataset with Long Durations and Structured Captions.

Trajectory Attention for Fine-grained Video Motion Control MiraData: A Large-Scale Video Dataset with Long Durations and Structured Captions

Reference 12

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source=pdf_text observed=2026-08-12T10:21:23.907337Z digest=sha256:4c8bf37af321acdeee02b5366e5f174659063ca2c195a79d2c06934a5cd6edf4

Observation 39eaa0d1-1b45-4a6a-9303-7848b87ae1ab · outbound

This paper cites CoTracker: It is Better to Track Together.

Trajectory Attention for Fine-grained Video Motion Control CoTracker: It is Better to Track Together

Reference 13

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T10:21:23.912864Z digest=sha256:24275e2f8896bbd952644559ea17a20007de560db78024ae82bb7890d1a11bb1

Observation 5800c41f-2011-4c33-9e66-f79ddf5332d2 · outbound

This paper cites AnyV2V: A Tuning-Free Framework For Any Video-to-Video Editing Tasks.

Trajectory Attention for Fine-grained Video Motion Control AnyV2V: A Tuning-Free Framework For Any Video-to-Video Editing Tasks

Reference 14

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T10:21:23.917579Z digest=sha256:3a8f1141268f18f637c3d7abfaff4a222ae3cc682fa1cfe46ebc2ba4118216b2

Observation 5d5635bf-030b-4986-b5a6-1b195db1201f · outbound

This paper cites Collaborative Video Diffusion: Consistent Multi-video Generation with Camera Control.

Trajectory Attention for Fine-grained Video Motion Control Collaborative Video Diffusion: Consistent Multi-video Generation with Camera Control

Reference 15

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T10:21:23.921748Z digest=sha256:09ae529e697345f307e17cb6dc1462c71ead5d0b815e13fdc64ed8f176fa3b2c

Observation cd04f700-adca-46a7-8f8b-d0e90acaebb6 · outbound

This paper cites Era3D: High-Resolution Multiview Diffusion using Efficient Row-wise Attention.

Trajectory Attention for Fine-grained Video Motion Control Era3D: High-Resolution Multiview Diffusion using Efficient Row-wise Attention

Reference 16

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T10:21:23.925846Z digest=sha256:6c2a62effd5bec7a932e4f0ddfcf9eaf7b0f7a82065ebce5d8df6957e8698a80

Observation 17bc162a-d30f-4704-a06a-5d691b1d5be4 · outbound

This paper cites MotionClone: Training-Free Motion Cloning for Controllable Video Generation.

Trajectory Attention for Fine-grained Video Motion Control MotionClone: Training-Free Motion Cloning for Controllable Video Generation

Reference 17

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no resolver link, observed 2026-08-12T10:21:23.929637Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T10:21:23.929637Z digest=sha256:2aa61087104c23ca7b2eaab8b57cb7c24e4867020e755d73560209a0250b791f

Observation 4de0b6cd-e56c-42cf-b5a7-8b9acef5ad1c · outbound

This paper cites MOFA-Video: Controllable Image Animation via Generative Motion Field Adaptions in Frozen Image-to-Video Diffusion Model.

Trajectory Attention for Fine-grained Video Motion Control MOFA-Video: Controllable Image Animation via Generative Motion Field Adaptions in Frozen Image-to-Video Diffusion Model

Reference 18

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no resolver link, observed 2026-08-12T10:21:23.933733Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T10:21:23.933733Z digest=sha256:81683916b1ebc607a73400e24aa7875585f540bf57cdae22fec68b260d1d926b

Observation fa0553b6-2b48-4b71-9c3a-a2a5f41125aa · outbound

This paper cites I2VEdit: First-Frame-Guided Video Editing via Image-to-Video Diffusion Models.

Trajectory Attention for Fine-grained Video Motion Control I2VEdit: First-Frame-Guided Video Editing via Image-to-Video Diffusion Models

Reference 19

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no resolver link, observed 2026-08-12T10:21:23.938231Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T10:21:23.938231Z digest=sha256:1b4d054a1d63d894876663a6f9d7a201059caab154ab5b65c07263c0c46a3c3b

Observation 4d46bdbf-98b1-4775-aa83-a529cdbc3e05 · outbound

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

Trajectory Attention for Fine-grained Video Motion Control FreeTraj: Tuning-Free Trajectory Control in Video Diffusion Models

Reference 20

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no resolver link, observed 2026-08-12T10:21:23.942725Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T10:21:23.942725Z digest=sha256:ff13856876f3fa54c07728f18b433caaf0d84ba73dbf48717e84d24dd7ba9c7a

Observation 072e5a2b-328e-47b3-a7c6-25e64d13fc08 · outbound

This paper cites Motion-i2v: Consistent and controllable image-to-video generation with explicit motion modeling.

Trajectory Attention for Fine-grained Video Motion Control Motion-i2v: Consistent and controllable image-to-video generation with explicit motion modeling

Reference 21

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no resolver link, observed 2026-08-12T10:21:23.946806Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-12T10:21:23.946806Z digest=sha256:c6ac8cbd3c55dc85242808c46f687440266e812b8af1be3a09e6e97afb1133bb

Observation 0b252eef-6550-46a3-9885-cc9a439fa216 · outbound

This paper cites Drag-A-Video: Non-rigid Video Editing with Point-based Interaction.

Trajectory Attention for Fine-grained Video Motion Control Drag-A-Video: Non-rigid Video Editing with Point-based Interaction

Reference 22

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no resolver link, observed 2026-08-12T10:21:23.950809Z

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source=pdf_text observed=2026-08-12T10:21:23.950809Z digest=sha256:0eba01a6a5da686e29e1d1e2bab56e252a805c4a43d23120694b56f631a98d42

Observation c032e0b5-6aac-47de-baef-73579a17cc45 · outbound

This paper cites Diffusion Models Are Real-Time Game Engines.

Trajectory Attention for Fine-grained Video Motion Control Diffusion Models Are Real-Time Game Engines

Reference 23

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source=pdf_text observed=2026-08-12T10:21:23.954677Z digest=sha256:903fdfeb9965bceded9b6a3687a9b963f701fcd7243baf99fc08e86deab58ba5

Observation b304ca35-c5f6-43f5-8d91-04797c530d66 · outbound

This paper cites Video Diffusion Models are Training-free Motion Interpreter and Controller.

Trajectory Attention for Fine-grained Video Motion Control Video Diffusion Models are Training-free Motion Interpreter and Controller

Reference 24

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T10:21:23.959564Z digest=sha256:067ae67d178780140c8fd75df65e3bd1ec6a535077c49298d1c762d9c390cf4d

Observation 65a7e334-3658-41d9-945d-81d7f9aae3aa · outbound

This paper cites CamCo: Camera-Controllable 3D-Consistent Image-to-Video Generation.

Trajectory Attention for Fine-grained Video Motion Control CamCo: Camera-Controllable 3D-Consistent Image-to-Video Generation

Reference 25

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T10:21:23.964008Z digest=sha256:19238fd73cfe3a924f7b8d8999aa5ec6abc2397edb89869648856e3de4b1398f

Observation 417e42cb-40eb-4633-8061-23c6b616d52f · outbound

This paper cites Depth Anything V2.

Trajectory Attention for Fine-grained Video Motion Control Depth Anything V2

Reference 26

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source=pdf_text observed=2026-08-12T10:21:23.968237Z digest=sha256:ed08b6a509a524fc99612825933f5796e31f6accc562a3adacd16e70790f5e75

Observation 8120d389-b1f8-4748-b461-e68b4e281b6f · outbound

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

Trajectory Attention for Fine-grained Video Motion Control DragNUWA: Fine-grained Control in Video Generation by Integrating Text, Image, and Trajectory

Reference 27

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T10:21:23.972808Z digest=sha256:3fabec19f3fc09e24f6c4ed1dfc321e88cdcd99b4580d7000a166b3440af9b40

Observation 724455f6-6153-4166-b524-49a97d2d02c3 · outbound

This paper cites NVS-Solver: Video Diffusion Model as Zero-Shot Novel View Synthesizer.

Trajectory Attention for Fine-grained Video Motion Control NVS-Solver: Video Diffusion Model as Zero-Shot Novel View Synthesizer

Reference 28

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T10:21:23.976823Z digest=sha256:20cd63aa6dd683a13122c45edc19327dd90fafd3fe2396d990db83c3c0ba54ef

Observation 782dc8d8-1aa6-4af5-9367-6dde24c0f5d9 · outbound

This paper cites AnimateZero: Video Diffusion Models are Zero-Shot Image Animators.

Trajectory Attention for Fine-grained Video Motion Control AnimateZero: Video Diffusion Models are Zero-Shot Image Animators

Reference 29

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no resolver link, observed 2026-08-12T10:21:23.980865Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T10:21:23.980865Z digest=sha256:32c352f44d60c18d0950d5473299534a7813f98bb469eb52337b4ec86550ea29

Observation f433abd6-137a-4ad7-9f66-2443565f4db7 · outbound

This paper cites ViewCrafter: Taming Video Diffusion Models for High-fidelity Novel View Synthesis.

Trajectory Attention for Fine-grained Video Motion Control ViewCrafter: Taming Video Diffusion Models for High-fidelity Novel View Synthesis

Reference 30

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T10:21:23.985359Z digest=sha256:6f821e0d8a68c49f2dccb4ad4a78d3351de804ce7b6321afd93c7c725b9fa5e7

Observation 4bcb061f-72d7-4df5-8142-29a7c2bb74a8 · outbound

This paper cites ControlVideo: Training-free Controllable Text-to-Video Generation.

Trajectory Attention for Fine-grained Video Motion Control ControlVideo: Training-free Controllable Text-to-Video Generation

Reference 31

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T10:21:23.989796Z digest=sha256:bd4236e637608789f80e30bc7ac75bf3234dcd7ff749b06f2edac2b6cfa8675e

Observation 1c5c275b-d790-4a4a-a395-7a5ed32b561b · outbound

This paper cites MotionDirector: Motion Customization of Text-to-Video Diffusion Models.

Trajectory Attention for Fine-grained Video Motion Control MotionDirector: Motion Customization of Text-to-Video Diffusion Models

Reference 32

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T10:21:23.994165Z digest=sha256:f9d91150427b805ba4426fc45fa254666ee1e4d31011ae5ef21f69eeaa0f4ad5

Observation c2c2cfea-699c-468a-bd7e-47ae4bfc65dc · outbound

This paper cites Vlogger: Make Your Dream A Vlog.

Trajectory Attention for Fine-grained Video Motion Control Vlogger: Make Your Dream A Vlog

Reference 33

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T10:21:23.998323Z digest=sha256:87180218b9b0197707706518c4dc6298cd18ee58f961f00058f30caa479638ce

Observation 407bfac4-4c62-4cd4-af93-46ea81f6fd24 · outbound

This paper cites Edit-Your-Motion: Space-Time Diffusion Decoupling Learning for Video Motion Editing.

Trajectory Attention for Fine-grained Video Motion Control Edit-Your-Motion: Space-Time Diffusion Decoupling Learning for Video Motion Editing

Reference 34

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T10:21:24.002825Z digest=sha256:f944769ef4e5cc28b7438d50787144d5fc7bf188135538068e60b1265736f31a

Observation 8ff19fec-e03a-4611-a2c6-016d4170c715 · outbound

This paper cites an unresolved cited work.

Trajectory Attention for Fine-grained Video Motion Control Unresolved cited work

Reference 35

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unresolved
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-12T10:21:24.008666Z digest=sha256:589bfaeaea7ffa72482f0747145ac2e1cdbd857f0f62344050679d0345831ae4

Observation 3c2141e2-1202-4dfc-9341-f6b0518e5ee1 · outbound

This paper cites We use CoTracker Karaev et al.

Trajectory Attention for Fine-grained Video Motion Control We use CoTracker Karaev et al

Reference 36

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verified fuzzy
raw_fallback, observed 2026-08-12T10:21:24.560942Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-12T10:21:24.014622Z digest=sha256:6afe48a584824732e49e62e199c5f1605294b50bdfb16128cd638fc3ee663223

Observation bca58a82-b22c-4844-8dda-9db9208b3582 · outbound

This paper cites Table 4: Ablations on training datasets.

Trajectory Attention for Fine-grained Video Motion Control Table 4: Ablations on training datasets

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:21:24.545608Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-12T10:21:24.018554Z digest=sha256:ed733ce04cbc24625459c09b82a2d133439146ea32d8a693d6413629ab32a606

Observation 898a659c-5e3c-48a7-b341-798d003d9558 · outbound

This paper cites For all tasks, the inputs to the network are the first frame and the extracted trajectories.

Trajectory Attention for Fine-grained Video Motion Control For all tasks, the inputs to the network are the first frame and the extracted trajectories

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:21:24.531998Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-12T10:21:24.022522Z digest=sha256:fee654630e5de8922d614fa5b2b58429a25d8af0ff0c643672b2f5243db68b8e

Observation 25ace4bb-9acd-4335-b142-58490b8f33cb · outbound

This paper cites 16, illustrating results from five scenes with a single camera trajectory.

Trajectory Attention for Fine-grained Video Motion Control 16, illustrating results from five scenes with a single camera trajectory

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:21:24.517506Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-12T10:21:24.026992Z digest=sha256:cdc0dc91b6b263747f03d42c71c0bcf789f00690d962cec5408facf3dcf73dc3

Observation a7b6c857-cd57-4026-afae-d967c1b5e6aa · outbound

This paper cites CogVideo: Large-scale Pretraining for Text-to-Video Generation via Transformers.

Trajectory Attention for Fine-grained Video Motion Control CogVideo: Large-scale Pretraining for Text-to-Video Generation via Transformers

Reference 2022

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unresolved
no resolver link, observed 2026-08-12T10:21:23.898283Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T10:21:23.898283Z digest=sha256:ed850d67336a68a076c6981ea7034e15d0ec9a70f1c720b2e8ca5068b6d6a740

Observation 5c93cbcb-11fb-4175-aac5-dae1301265d5 · outbound

This paper cites VideoCrafter1: Open Diffusion Models for High-Quality Video Generation.

Trajectory Attention for Fine-grained Video Motion Control VideoCrafter1: Open Diffusion Models for High-Quality Video Generation

Reference 2023

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no resolver link, observed 2026-08-12T10:21:23.862142Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T10:21:23.862142Z digest=sha256:5ff591bc6ae4124de380bc44e0d159be6f51a76c492c7d3bd7f9b8f8a0d5c70c

Observation a728a35c-4f27-4461-9da4-62b7f0fe18fd · outbound

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

Trajectory Attention for Fine-grained Video Motion Control Stable Video Diffusion: Scaling Latent Video Diffusion Models to Large Datasets

Reference 2024

Resolution
unresolved
no resolver link, observed 2026-08-12T10:21:23.856183Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T10:21:23.856183Z digest=sha256:ee72742f62333e869f63fc298db0967df8490f7bd4df3b46c0886d65d818e1b3

Pith citing papers

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

Motion Prompting: Controlling Video Generation with Motion Trajectories cites this paper.

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

Reference 80

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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:f330f51e587ec41305adcf978fbc314cbdcdfd79219269b0e63905ce3544beee

Observation 763824ab-2072-421b-b818-c93df9065ab0 · inbound

Wonderland: Navigating 3D Scenes from a Single Image cites this paper.

Wonderland: Navigating 3D Scenes from a Single Image Trajectory Attention for Fine-grained Video Motion Control

Reference 99

Resolution
unresolved
no resolver link, observed 2026-08-11T14:21:06.458855Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:21:06.458855Z digest=sha256:1fbf5b3015bafff94b46e8d4d02e64d18f54bc26ee302d82df3be16e276b7e8c

Observation fe060d89-f46b-4442-80c5-926da9861294 · 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 Trajectory Attention for Fine-grained Video Motion Control

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-10T21:25:45.911705Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:25:45.911705Z digest=sha256:7286c27be3a714cc54e8f19e29add3a57f4cbabde4e99ac2c9a732f7468b97ea

Observation 7d4d5626-a4ec-4982-a699-8220f44eb98c · 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 Trajectory Attention for Fine-grained Video Motion Control

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-08T12:31:41.887598Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T12:31:41.887598Z digest=sha256:c4f91895d7c9e622881c80bc889fad5c74aa5c90ce3b42a5e8e91f8a6ea8fab4

Observation e751bc5a-ee03-48c2-bae1-bf5a391a1f79 · inbound

Towards Understanding Camera Motions in Any Video cites this paper.

Towards Understanding Camera Motions in Any Video Trajectory Attention for Fine-grained Video Motion Control

Reference 66

Resolution
unresolved
no resolver link, observed 2026-08-16T11:31:56.567142Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:31:56.567142Z digest=sha256:d6b471ed37a74c027fadee34f70ad76eeea32f570ab220c17a8df968007a7001

Observation a604cda4-6449-46aa-9a38-0f3816a378fc · inbound

EPiC: Efficient Video Camera Control Learning with Precise Anchor-Video Guidance cites this paper.

EPiC: Efficient Video Camera Control Learning with Precise Anchor-Video Guidance Trajectory Attention for Fine-grained Video Motion Control

Reference 66

Resolution
unresolved
no resolver link, observed 2026-08-07T13:28:14.195041Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:28:14.195041Z digest=sha256:ac9b54eb0cf58906241e94cb78c021468d97e24ab1cbeb153fb0c7b2cb6b465e

Observation 2be31446-5eb2-44ee-8fd4-5383af8c786b · inbound

Follow-Your-Creation: Empowering 4D Creation through Video Inpainting cites this paper.

Follow-Your-Creation: Empowering 4D Creation through Video Inpainting Trajectory Attention for Fine-grained Video Motion Control

Reference 85

Resolution
unresolved
no resolver link, observed 2026-08-07T10:43:25.596446Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:43:25.596446Z digest=sha256:b97af46a64c24a8f9c62e425d08324a65a198cfd278ad9059494bb7bd2fd3083

Observation 71b2e1a1-183a-4314-ad21-b9294d94c5c6 · inbound

Dynamic View Synthesis as an Inverse Problem cites this paper.

Dynamic View Synthesis as an Inverse Problem Trajectory Attention for Fine-grained Video Motion Control

Reference 55

Resolution
unresolved
no resolver link, observed 2026-08-07T05:28:15.120741Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:28:15.120741Z digest=sha256:b0969eacd2464b8ebb029c1676ba338899acbfba760337112d669d052ea4bf49

Observation 30220acf-b2e4-41ee-9652-b51bf3ffafb1 · inbound

PostCam: Camera-Controllable Novel-View Video Generation with Query-Shared Cross-Attention cites this paper.

PostCam: Camera-Controllable Novel-View Video Generation with Query-Shared Cross-Attention Trajectory Attention for Fine-grained Video Motion Control

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-03T21:01:09.794702Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T21:01:09.794702Z digest=sha256:6df8aac0d9adbaf5f9fd591f9247da07094e2c47f53120b335c5977eb2f7d5c3

Observation d613f903-fb74-40ca-b823-50f21901c417 · inbound

InverseCrafter: Efficient Video ReCapture as a Latent Domain Inverse Problem cites this paper.

InverseCrafter: Efficient Video ReCapture as a Latent Domain Inverse Problem Trajectory Attention for Fine-grained Video Motion Control

Reference 56

Resolution
unresolved
no resolver link, observed 2026-08-03T18:26:36.661221Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T18:26:36.661221Z digest=sha256:acedef225a1c5323417d1ead5cf3a6fae48a67786590735da448aa4c16924f0d

Observation cb527543-654c-42a5-9bf1-c55af0b62e7a · inbound

INSPATIO-WORLD: A Real-Time 4D World Simulator via Spatiotemporal Autoregressive Modeling cites this paper.

INSPATIO-WORLD: A Real-Time 4D World Simulator via Spatiotemporal Autoregressive Modeling Trajectory Attention for Fine-grained Video Motion Control

Reference 90

Resolution
verified exact
arxiv_id, observed 2026-05-10T23:25:53.363757Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-05-10T19:08:56.588282Z digest=sha256:3fb7d1e8b4655577edb110c2d393b45bbe5abb974507ee47300bbdfdc9978ad5

Observation 8de73617-32da-4e21-a236-3acef82968ce · inbound

Reshoot-Anything: A Self-Supervised Model for In-the-Wild Video Reshooting cites this paper.

Reshoot-Anything: A Self-Supervised Model for In-the-Wild Video Reshooting Trajectory Attention for Fine-grained Video Motion Control

Reference 41

Resolution
verified exact
arxiv_id, observed 2026-05-09T23:04:17.940561Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-05-09T23:00:45.496971Z digest=sha256:af5e519dcc2aac96bce1a8c8e70d83f42c0efb06692247e6006294b7fab46713

Observation 457db8bf-1681-4a7a-82ce-77853e7c11a1 · inbound

World-R1: Reinforcing 3D Constraints for Text-to-Video Generation cites this paper.

World-R1: Reinforcing 3D Constraints for Text-to-Video Generation Trajectory Attention for Fine-grained Video Motion Control

Reference 51

Resolution
verified exact
arxiv_id, observed 2026-05-11T21:46:39.206653Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-05-08T04:26:58.408225Z digest=sha256:0bec39e86809140cfad06012564128de54e8f4582ad2f96286205af575f1ed17

Observation 13c39940-2216-4b4f-b388-c3e8698f2558 · inbound

World-R1: Reinforcing 3D Constraints for Text-to-Video Generation cites this paper.

World-R1: Reinforcing 3D Constraints for Text-to-Video Generation Trajectory Attention for Fine-grained Video Motion Control

Reference 51

Resolution
verified exact
arxiv_id, observed 2026-05-21T08:49:53.516672Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-05-21T08:47:47.264480Z digest=sha256:68c564ef42128992101293836f6002047de3c1ceb1ea5e026e5a978258eea771

Observation ee46f148-32ac-4616-aaec-78a6f4186836 · inbound

World-R1: Reinforcing 3D Constraints for Text-to-Video Generation cites this paper.

World-R1: Reinforcing 3D Constraints for Text-to-Video Generation Trajectory Attention for Fine-grained Video Motion Control

Reference 51

Resolution
verified exact
arxiv_id, observed 2026-05-25T06:45:25.873997Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-05-25T06:44:23.038517Z digest=sha256:8ad13d8edf7c220305c2f7837c7eb489d122ae21a96ca12130d73519a61d1ead

Observation b1da8df0-34a7-4e17-877e-6863f6cdd95d · inbound

$h$-control: Training-Free Camera Control via Block-Conditional Gibbs Refinement cites this paper.

$h$-control: Training-Free Camera Control via Block-Conditional Gibbs Refinement Trajectory Attention for Fine-grained Video Motion Control

Reference 34

Resolution
verified exact
arxiv_id, observed 2026-05-13T07:12:28.185788Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-05-13T07:09:32.103652Z digest=sha256:2d008274c37b76dc64209b34a8cde5520de78cb3f62094864a1ba892c7ade9f6

Observation ea1499c5-1643-49f8-9f36-23a8b23f8272 · inbound

$h$-control: Training-Free Camera Control via Block-Conditional Gibbs Refinement cites this paper.

$h$-control: Training-Free Camera Control via Block-Conditional Gibbs Refinement Trajectory Attention for Fine-grained Video Motion Control

Reference 34

Resolution
verified exact
arxiv_id, observed 2026-05-20T22:59:11.777100Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-05-20T22:55:00.590833Z digest=sha256:338fc456f04b96650bf17ed27d0d02f397d5d2f0f05ab5eb831ccae8e5b97d28

Observation 93b6ba3f-d33a-48eb-b3ce-26411b54cf96 · inbound

DEVIS-GRPO: Unleashing GRPO on Dynamic Extreme View Synthesis cites this paper.

DEVIS-GRPO: Unleashing GRPO on Dynamic Extreme View Synthesis Trajectory Attention for Fine-grained Video Motion Control

Reference 58

Resolution
metadata mismatch
arxiv_id, observed 2026-05-19T20:57:47.021172Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-05-19T20:53:42.240453Z digest=sha256:a84c4d7dcda8ccff74cf9f79d4c36ea9259b6acc34f2286525ec9c82d1e920e4

Observation 2873c464-e8e3-4b43-8427-0dfcf9b783ed · inbound

Pantheon360: Taming Digital Twin Generation via 3D-Aware 360{\deg} Video Diffusion cites this paper.

Pantheon360: Taming Digital Twin Generation via 3D-Aware 360{\deg} Video Diffusion Trajectory Attention for Fine-grained Video Motion Control

Reference 82

Resolution
verified exact
arxiv_id, observed 2026-06-29T22:54:01.272170Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-06-29T22:46:55.049969Z digest=sha256:a895fbff560211d1974347d192a01fc6221609e91ea5d091c8b7c8af0bdc5456

Observation a8492a0b-8330-4fa4-8f67-e2162b9786c6 · inbound

Real2SAM2Real: Generative 3D Caches as Complementary Context for Video Diffusion cites this paper.

Real2SAM2Real: Generative 3D Caches as Complementary Context for Video Diffusion Trajectory Attention for Fine-grained Video Motion Control

Reference 40

Resolution
metadata mismatch
arxiv_id, observed 2026-06-28T22:42:46.310359Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-06-28T22:41:00.915004Z digest=sha256:404b128449df02322c628f437d9d097aa91a41963eebe6d669139dc93584d7e6

Observation d502e010-3fce-4dab-824d-103d6b9dab13 · inbound

Making Time Editable in Video Diffusion Transformers cites this paper.

Making Time Editable in Video Diffusion Transformers Trajectory Attention for Fine-grained Video Motion Control

Reference 11

Resolution
metadata mismatch
arxiv_id, observed 2026-07-03T01:27:30.519065Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-06-27T16:36:43.699031Z digest=sha256:d5e0ce641a312e9939e5dcdea6cbac018e3731823fcd01306f1ebe7030c31f15

Observation fcbb973a-6c18-4b3f-8ba5-c99111402f6d · inbound

SierpinskiCam: Camera-Controlled Video Retaking with Sierpinski Triangle Pattern Cues cites this paper.

SierpinskiCam: Camera-Controlled Video Retaking with Sierpinski Triangle Pattern Cues Trajectory Attention for Fine-grained Video Motion Control

Reference 27

Resolution
verified exact
arxiv_id, observed 2026-07-03T18:08:45.614158Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-06-27T03:22:14.457931Z digest=sha256:4e5d88799ab4e50fe82b1c49e451f86cd9fac334ff2defcb337c83b9425c5715

Observation cffdbbc0-906f-4428-a9a1-c3847956ae7f · inbound

TriMotion: Modality-Agnostic Camera Control for Video Generation cites this paper.

TriMotion: Modality-Agnostic Camera Control for Video Generation Trajectory Attention for Fine-grained Video Motion Control

Reference 32

Resolution
verified exact
arxiv_id, observed 2026-07-04T03:19:31.273275Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-06-26T18:11:49.696524Z digest=sha256:a3130dd928744c915348298e26ef2a54cad491dd88ee9da31ddfc5057ed6fda4

Observation 88079ae3-8a22-4a3e-ae10-1eb4c0c1025f · inbound

TryOnCrafter: Unleashing Camera Trajectories for Realistic Video Virtual Try-on via a Renderable 4D Try-on Proxy cites this paper.

TryOnCrafter: Unleashing Camera Trajectories for Realistic Video Virtual Try-on via a Renderable 4D Try-on Proxy Trajectory Attention for Fine-grained Video Motion Control

Reference 45

Resolution
metadata mismatch
arxiv_id, observed 2026-07-04T21:00:08.911629Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-06-25T19:20:45.217627Z digest=sha256:82d55a2eceab87795c9a07da7a1a5e1f209c1ac0dd81a57be01879ae4e5496e7

Observation 37efd769-c70c-423f-9e12-7e6d6996225a · inbound

TryOnCrafter: Unleashing Camera Trajectories for Realistic Video Virtual Try-on via a Renderable 4D Try-on Proxy cites this paper.

TryOnCrafter: Unleashing Camera Trajectories for Realistic Video Virtual Try-on via a Renderable 4D Try-on Proxy Trajectory Attention for Fine-grained Video Motion Control

Reference 45

Resolution
unresolved
no resolver link, observed 2026-07-12T12:05:10.800662Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T12:05:10.800662Z digest=sha256:e09a9dcb568f41a93c2bbefb855e77d928c633b368c20b8642e3f70f7b91bc1a