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Paper Citation Record · LEDGER

SynMotion: Semantic-Visual Adaptation for Motion Customized Video Generation

As of 6 August 2026, this Paper Citation Record lists 100 of 111 outbound references and 2 inbound Pith citation observations for arXiv:2506.23690.

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

pith.paper-citation-record.v1
2506.23690 v2

Coverage vector

measured 100 of 111 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-19T07:59:49.398271Z

measured 102 of 102 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-06T06:34:29.942622+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T21:09:08.202397Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T19:07:47.089178Z

Reference resolution

100 of 111 outbound references displayed

  • verified exact42
  • verified fuzzy53
  • unresolved1
  • parse uncertain1
  • malformed identifier0
  • metadata mismatch3

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation a94140e8-6760-41f6-835c-48f83fdc7a18 · outbound

This paper cites Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone.

SynMotion: Semantic-Visual Adaptation for Motion Customized Video Generation Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone

Reference 1

Resolution
verified exact
local_arxiv, observed 2026-05-19T08:02:10.404835Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-19T07:59:49.398271Z digest=sha256:ad672bcc91702eb473a5c4ae00487da505f2c1dc31ea7b9c135f4699d9375883

Observation a0e35e96-20cf-4bdf-ad06-12ca4c2b03ec · outbound

This paper cites Ming-omni: A unified multimodal model for perception and generation.

SynMotion: Semantic-Visual Adaptation for Motion Customized Video Generation Ming-omni: A unified multimodal model for perception and generation

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-05-19T08:02:12.079448Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-19T07:59:49.398271Z digest=sha256:ca45fc6bea9eac93ad052254666c7476ff44f49da0c28b623e152f0e6979b596

Observation 81725d05-b060-459a-a681-145e79d42b15 · outbound

This paper cites Ming-lite-uni: Advancements in unified architecture for natural multimodal interaction.

SynMotion: Semantic-Visual Adaptation for Motion Customized Video Generation Ming-lite-uni: Advancements in unified architecture for natural multimodal interaction

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-05-19T08:02:12.184376Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-19T07:59:49.398271Z digest=sha256:dfa5bf9858ec34b8f043b7e96af9dd15f20fe9f3aee14361a6a14640d3eeae65

Observation 0ad6f4f9-335d-446a-b642-03c9c9c22af3 · outbound

This paper cites A neural space-time representation for text-to-image personalization.

SynMotion: Semantic-Visual Adaptation for Motion Customized Video Generation A neural space-time representation for text-to-image personalization

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-05-19T08:02:12.062200Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-19T07:59:49.398271Z digest=sha256:b92b63ac25c52fa9b8ef9c7378c505521e031386f71621b8ff90ca6d289ee80e

Observation 09ff4885-2514-4d92-aeb1-7e69f9d182e7 · outbound

This paper cites Latent-Shift: Latent Diffusion with Temporal Shift for Efficient Text-to-Video Generation.

SynMotion: Semantic-Visual Adaptation for Motion Customized Video Generation Latent-Shift: Latent Diffusion with Temporal Shift for Efficient Text-to-Video Generation

Reference 5

Resolution
verified exact
arxiv_id, observed 2026-05-19T08:02:10.545938Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-19T07:59:49.398271Z digest=sha256:6a6ae39ad305aeae314d68398e2cfb907c276b4e8ab01b04aec246085c647796

Observation 1f21b890-b005-4675-b2d9-e07c29b5181d · outbound

This paper cites Domain-Agnostic Tuning-Encoder for Fast Personalization of Text-To-Image Models.

SynMotion: Semantic-Visual Adaptation for Motion Customized Video Generation Domain-Agnostic Tuning-Encoder for Fast Personalization of Text-To-Image Models

Reference 6

Resolution
verified exact
arxiv_id, observed 2026-05-19T08:02:10.455195Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-19T07:59:49.398271Z digest=sha256:c0bb2c4c22b7c1df8ca00fb4ab45e4f5d2de698abe69eca3d84addc2067ab214

Observation b3a3753c-8d66-46a7-b121-4b2d512dc643 · outbound

This paper cites Qwen-VL: A Versatile Vision-Language Model for Understanding, Localization, Text Reading, and Beyond.

SynMotion: Semantic-Visual Adaptation for Motion Customized Video Generation Qwen-VL: A Versatile Vision-Language Model for Understanding, Localization, Text Reading, and Beyond

Reference 7

Resolution
verified exact
local_arxiv, observed 2026-05-19T08:02:10.496192Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-19T07:59:49.398271Z digest=sha256:1db658ee0154ecd31d3f7732ace21b3e54d03b082ad0be70202092de379b2661

Observation 83437bc3-2f0e-4ab8-9c63-bed3f1adeca1 · outbound

This paper cites Qwen2.5-VL Technical Report.

SynMotion: Semantic-Visual Adaptation for Motion Customized Video Generation Qwen2.5-VL Technical Report

Reference 8

Resolution
verified exact
local_arxiv, observed 2026-05-19T08:02:10.290498Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-19T07:59:49.398271Z digest=sha256:82f29881253f415c559630ebecb58efe3459a845596c1603955e43d166b0fb82

Observation fda19313-3569-4aa4-944e-d05cd6894c04 · outbound

This paper cites CustomTTT: Motion and Appearance Customized Video Generation via Test-Time Training.

SynMotion: Semantic-Visual Adaptation for Motion Customized Video Generation CustomTTT: Motion and Appearance Customized Video Generation via Test-Time Training

Reference 9

Resolution
verified exact
arxiv_id, observed 2026-05-19T08:02:10.538700Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-19T07:59:49.398271Z digest=sha256:161bf5616690d5cca13c43131e74ce6ee72105933d1a90803215e59a1c9d2978

Observation 50251f76-738f-4eba-a82a-a3d65e53c50c · outbound

This paper cites Pix2video: Video editing using image diffusion.

SynMotion: Semantic-Visual Adaptation for Motion Customized Video Generation Pix2video: Video editing using image diffusion

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-05-19T08:02:12.157826Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-19T07:59:49.398271Z digest=sha256:e6ab8b7ad669fdcb263c4b36b333f1d18f01d643c93698d6a55ece0205f2a66d

Observation 72d810d4-43c3-4c03-bc9d-899b7f5961fb · outbound

This paper cites Stablevideo: Text-driven consistency-aware diffusion video editing.

SynMotion: Semantic-Visual Adaptation for Motion Customized Video Generation Stablevideo: Text-driven consistency-aware diffusion video editing

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-05-19T08:02:12.123081Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-19T07:59:49.398271Z digest=sha256:43ddfbf93417cb14903caf9012327d894cb58668d54a8921619e391b43c18401

Observation 91015f69-6c2f-45f0-8cdc-24e0dfb6cbd2 · outbound

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

SynMotion: Semantic-Visual Adaptation for Motion Customized Video Generation VideoCrafter1: Open Diffusion Models for High-Quality Video Generation

Reference 12

Resolution
verified exact
local_arxiv, observed 2026-05-19T08:02:10.311210Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-19T07:59:49.398271Z digest=sha256:61202c3a30b2e5fd8fd23f1bc7ba10cafb570f54455c90f0cc66e29059350c37

Observation dceeddb2-9ac1-47af-8e46-7b6159fdd101 · outbound

This paper cites Videocrafter2: Overcoming data limitations for high-quality video diffusion models.

SynMotion: Semantic-Visual Adaptation for Motion Customized Video Generation Videocrafter2: Overcoming data limitations for high-quality video diffusion models

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-05-19T08:02:12.036442Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-19T07:59:49.398271Z digest=sha256:f868516c78ea98a86d317aff9fffd223fd9169cb6d8d24f01e852939d42b0dd6

Observation c220ff5a-f357-4427-9873-d3378da0e767 · outbound

This paper cites DisenBooth: Identity-Preserving Disentangled Tuning for Subject-Driven Text-to-Image Generation.

SynMotion: Semantic-Visual Adaptation for Motion Customized Video Generation DisenBooth: Identity-Preserving Disentangled Tuning for Subject-Driven Text-to-Image Generation

Reference 14

Resolution
verified exact
arxiv_id, observed 2026-05-19T08:02:10.472948Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-19T07:59:49.398271Z digest=sha256:c1e12824e0cbbe2dba6679018a4c14a99a6e7f396cb8b64acf67d57e86e8fa95

Observation b2b3fde7-ae64-4dd4-aeb1-e828e85ced94 · outbound

This paper cites Custom-Edit: Text-Guided Image Editing with Customized Diffusion Models.

SynMotion: Semantic-Visual Adaptation for Motion Customized Video Generation Custom-Edit: Text-Guided Image Editing with Customized Diffusion Models

Reference 15

Resolution
verified exact
arxiv_id, observed 2026-05-19T08:02:10.352929Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-19T07:59:49.398271Z digest=sha256:1fd04a7abdf3ee4c39ff77b881ebf2cf28ef980f6dcec14074e22110f9903bbe

Observation fa20181c-3cbf-4d32-b02e-410a097a4084 · outbound

This paper cites Xtuner: A toolkit for efficiently fine-tuning llm.

SynMotion: Semantic-Visual Adaptation for Motion Customized Video Generation Xtuner: A toolkit for efficiently fine-tuning llm

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-05-19T08:02:12.273878Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-19T07:59:49.398271Z digest=sha256:6d7a6ffc16a425656c988d066e0dcb174b7c6f888edba0b7d053471be77b6659

Observation efdbac32-062e-47ea-9d6a-6c80d15b47ff · outbound

This paper cites Scaling rectified flow transformers for high-resolution image synthesis.

SynMotion: Semantic-Visual Adaptation for Motion Customized Video Generation Scaling rectified flow transformers for high-resolution image synthesis

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-05-19T08:02:12.278390Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-19T07:59:49.398271Z digest=sha256:50a5217ef58d51ea680471c0bca9534cd8cf05fc2b65a4b9498435acff040c93

Observation a2f7bd6b-83f6-4ea7-b099-fcc6c714255c · outbound

This paper cites Ranni: Taming text-to-image diffusion for accurate instruction following.

SynMotion: Semantic-Visual Adaptation for Motion Customized Video Generation Ranni: Taming text-to-image diffusion for accurate instruction following

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-05-19T08:02:12.282828Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-19T07:59:49.398271Z digest=sha256:1356f7ad4f533bb5f14c0825006f927857e277e83b2763da56848d0e005642d1

Observation dd46aff2-3f4a-414d-94c2-34a02b5e0920 · outbound

This paper cites An Image is Worth One Word: Personalizing Text-to-Image Generation using Textual Inversion.

SynMotion: Semantic-Visual Adaptation for Motion Customized Video Generation An Image is Worth One Word: Personalizing Text-to-Image Generation using Textual Inversion

Reference 19

Resolution
metadata mismatch
local_arxiv, observed 2026-05-19T08:02:10.449282Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-19T07:59:49.398271Z digest=sha256:55e523330b1dc2f990089dbd84c81adc6a22dc1fe36795982654918535aabb23

Observation ebb3cb1f-6a65-4e80-b633-2d43a613dccc · outbound

This paper cites Encoder- based domain tuning for fast personalization of text-to-image models.

SynMotion: Semantic-Visual Adaptation for Motion Customized Video Generation Encoder- based domain tuning for fast personalization of text-to-image models

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-05-19T08:02:12.259975Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-19T07:59:49.398271Z digest=sha256:224b0ceb83645c9f7b09074d9af92acb0053dd3d2f6845a700caf0bc53e52377

Observation 744e1ad9-8439-4125-b69e-95654f545776 · outbound

This paper cites Customizing text-to-image generation with inverted interaction.

SynMotion: Semantic-Visual Adaptation for Motion Customized Video Generation Customizing text-to-image generation with inverted interaction

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-05-19T08:02:12.040103Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-19T07:59:49.398271Z digest=sha256:15a5617c9868553bf0eb0ece7a1027a6648ac52564a9e0e3c94b49056a2fce90

Observation 90d0a4bf-0411-4cc5-9dd1-356acc111aae · outbound

This paper cites Chatglm: A family of large language models from glm-130b to glm-4 all tools.

SynMotion: Semantic-Visual Adaptation for Motion Customized Video Generation Chatglm: A family of large language models from glm-130b to glm-4 all tools

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-05-19T08:02:12.032603Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

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Observation 838f5aff-7859-47b1-b451-0242ff774c09 · outbound

This paper cites Check locate rectify: A training-free layout calibration system for text-to-image generation.

SynMotion: Semantic-Visual Adaptation for Motion Customized Video Generation Check locate rectify: A training-free layout calibration system for text-to-image generation

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-05-19T08:02:12.023906Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-19T07:59:49.398271Z digest=sha256:d83a5a11e25182b45e0beeb0cf1f577fa3749008bf4715811e0084af9845e7ac

Observation aec69dd9-1067-4b41-b9b7-cf2b26ad3889 · outbound

This paper cites Uknow: A unified knowledge protocol with multimodal knowledge graph datasets for reasoning and vision-language pre-training.

SynMotion: Semantic-Visual Adaptation for Motion Customized Video Generation Uknow: A unified knowledge protocol with multimodal knowledge graph datasets for reasoning and vision-language pre-training

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-05-19T08:02:12.028349Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-19T07:59:49.398271Z digest=sha256:011e55a9ce71e1164118d29ebc37579ceea41b19f188e6ef0505ea8a19d8daad

Observation d1f5a81d-176e-4efe-be68-43f995a43c65 · outbound

This paper cites TaleCrafter: Interactive Story Visualization with Multiple Characters.

SynMotion: Semantic-Visual Adaptation for Motion Customized Video Generation TaleCrafter: Interactive Story Visualization with Multiple Characters

Reference 25

Resolution
verified exact
arxiv_id, observed 2026-05-19T08:02:10.559675Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-19T07:59:49.398271Z digest=sha256:94705f02684f1f0e7289ff0eb11de48c9ea6e361826bfa33b30054263d593dfb

Observation 7d48b8d7-a71b-49ae-8cec-deaef2821c85 · outbound

This paper cites AnimateDiff: Animate Your Personalized Text-to-Image Diffusion Models without Specific Tuning.

SynMotion: Semantic-Visual Adaptation for Motion Customized Video Generation AnimateDiff: Animate Your Personalized Text-to-Image Diffusion Models without Specific Tuning

Reference 26

Resolution
verified exact
local_arxiv, observed 2026-05-19T08:02:10.331310Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-19T07:59:49.398271Z digest=sha256:f664de3241eb1a1a64f75adc8eea2fb7f810aad795df53ad13bb2a574713c977

Observation 7b9609eb-df97-4669-a5a6-8ff2791ffb5b · outbound

This paper cites SVDiff: Compact Parameter Space for Diffusion Fine-Tuning.

SynMotion: Semantic-Visual Adaptation for Motion Customized Video Generation SVDiff: Compact Parameter Space for Diffusion Fine-Tuning

Reference 27

Resolution
verified exact
arxiv_id, observed 2026-05-19T08:02:10.338062Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-19T07:59:49.398271Z digest=sha256:cfc3e5f9a396750030fe44e160a9c46139e573579cbd8d10fd0d443471845986

Observation 7b50f4fe-1f34-4887-ace0-94f4d7510b7d · outbound

This paper cites Denoising diffusion probabilistic models.

SynMotion: Semantic-Visual Adaptation for Motion Customized Video Generation Denoising diffusion probabilistic models

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-05-19T08:02:12.100192Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-19T07:59:49.398271Z digest=sha256:d97c2ed9cc8120dc26837eea530dabf1a31617b7b46850384a7813792c1279b9

Observation 8a369efa-db32-44c3-b4c9-fdd1c093e640 · outbound

This paper cites Video diffusion models.

SynMotion: Semantic-Visual Adaptation for Motion Customized Video Generation Video diffusion models

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-05-19T08:02:12.236742Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-19T07:59:49.398271Z digest=sha256:59f63edcbd24f0ae095c53991b99ce828e7fd9dd36a4d888c3552b751056c8cb

Observation 009c3b34-18d0-4e15-9cac-4fca5c71e2e8 · outbound

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

SynMotion: Semantic-Visual Adaptation for Motion Customized Video Generation CogVideo: Large-scale Pretraining for Text-to-Video Generation via Transformers

Reference 30

Resolution
verified exact
local_arxiv, observed 2026-05-19T08:02:10.572736Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-19T07:59:49.398271Z digest=sha256:abe03483c901e354e453b5eeb902357ba7e9f89f8e1ed1faf6b88c508dca18e5

Observation 0b4fe486-cfca-47d7-842b-e5e5cdc764b3 · outbound

This paper cites LoRA: Low-rank adaptation of large language models.

SynMotion: Semantic-Visual Adaptation for Motion Customized Video Generation LoRA: Low-rank adaptation of large language models

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-05-19T08:02:12.241390Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-19T07:59:49.398271Z digest=sha256:e1e8fda29dcdfc9dcfe851317de6167d082bc2b9233da129e499648f4eea2547

Observation e94934e4-8188-4fb3-a134-087777a604d8 · outbound

This paper cites Learning disentangled identifiers for action-customized text-to-image generation.

SynMotion: Semantic-Visual Adaptation for Motion Customized Video Generation Learning disentangled identifiers for action-customized text-to-image generation

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-05-19T08:02:12.250835Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-19T07:59:49.398271Z digest=sha256:4431a3aa0d16a95eea23da993bb4e8a1317728eed47b9338d182e8e04598a2db

Observation e513f8b2-63f9-4bcc-83fa-546e4b87bebd · outbound

This paper cites VBench: Comprehensive benchmark suite for video generative models.

SynMotion: Semantic-Visual Adaptation for Motion Customized Video Generation VBench: Comprehensive benchmark suite for video generative models

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-05-19T08:02:12.291768Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-19T07:59:49.398271Z digest=sha256:5ad093ecbaa7d1091e5bedb276308075e21d2155c79d4c66f4e4861a6fc4fa25

Observation dc9cddc0-88a3-4c76-80c0-a87948864e43 · outbound

This paper cites Reversion: Diffusion-based relation inversion from images.

SynMotion: Semantic-Visual Adaptation for Motion Customized Video Generation Reversion: Diffusion-based relation inversion from images

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-05-19T08:02:12.246292Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-19T07:59:49.398271Z digest=sha256:279ff2c34fe37d32e789fe8850f10f6d74cfee6d6f6206983536ec06769e1ce6

Observation 07f8073d-121a-4c24-8e5d-08c2616fd585 · outbound

This paper cites Vmc: Video motion customization using temporal attention adaption for text-to-video diffusion models.

SynMotion: Semantic-Visual Adaptation for Motion Customized Video Generation Vmc: Video motion customization using temporal attention adaption for text-to-video diffusion models

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-05-19T08:02:12.219143Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-19T07:59:49.398271Z digest=sha256:408b46749ebc0aa9e728c7b28f8cc089fd1f26493716295f27aadac11664b3fb

Observation a42d9dae-65f4-470f-8eca-2dc936ab4699 · outbound

This paper cites Pomp: Physics-consistent motion generative model through phase manifolds.

SynMotion: Semantic-Visual Adaptation for Motion Customized Video Generation Pomp: Physics-consistent motion generative model through phase manifolds

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-05-19T08:02:12.264468Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-19T07:59:49.398271Z digest=sha256:eb7e619c9c28608ed37bf045967f1a8f5a5f66434e6eb83c8dd486e888a00c7d

Observation 055906d8-80e2-4076-9513-0975280a0d89 · outbound

This paper cites Sport: From zero-shot prompts to real-time motion generation.

SynMotion: Semantic-Visual Adaptation for Motion Customized Video Generation Sport: From zero-shot prompts to real-time motion generation

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-05-19T08:02:12.255303Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-19T07:59:49.398271Z digest=sha256:1a19c8ece94aae603d4e0b314f9175fb59dbe88bed81591cb716b41ae6dc4a38

Observation 313c6472-ce22-4da2-b10b-c9340e7c3b27 · outbound

This paper cites Stylevr: Stylizing character animations with normalizing flows.

SynMotion: Semantic-Visual Adaptation for Motion Customized Video Generation Stylevr: Stylizing character animations with normalizing flows

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-05-19T08:02:12.295813Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-19T07:59:49.398271Z digest=sha256:bed48f892ba68d9f051db2e133a72ee2f58ca6ca084276af7aa08c713ec550e1

Observation 59b5d566-b501-404c-bf06-cabcd887e070 · outbound

This paper cites Chan, Yandong Li, Han Zhang, Boqing Gong, Tingbo Hou, Huisheng Wang, and Yu-Chuan Su.

SynMotion: Semantic-Visual Adaptation for Motion Customized Video Generation Chan, Yandong Li, Han Zhang, Boqing Gong, Tingbo Hou, Huisheng Wang, and Yu-Chuan Su

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-05-19T08:02:12.228119Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-19T07:59:49.398271Z digest=sha256:c7042f49fe143611d7c997b76b241a5b5cba307b1f061459741b019d2f31dfce

Observation 648bc8d7-b6a1-48d9-87cc-bf273ae5d7ef · outbound

This paper cites Imagic: Text-Based Real Image Editing with Diffusion Models.

SynMotion: Semantic-Visual Adaptation for Motion Customized Video Generation Imagic: Text-Based Real Image Editing with Diffusion Models

Reference 40

Resolution
metadata mismatch
arxiv_id, observed 2026-05-19T08:02:10.501901Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-19T07:59:49.398271Z digest=sha256:2d579d8b25939004eba98a5597769bb394b88b9e022b84a3a2a4f2fe26d44d0a

Observation 761f4169-abc1-442e-b9b1-f9172730d5af · outbound

This paper cites HunyuanVideo: A Systematic Framework For Large Video Generative Models.

SynMotion: Semantic-Visual Adaptation for Motion Customized Video Generation HunyuanVideo: A Systematic Framework For Large Video Generative Models

Reference 41

Resolution
verified exact
local_arxiv, observed 2026-05-19T08:02:10.298464Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-19T07:59:49.398271Z digest=sha256:22d0de7c2ee75ece772f9bf4d4e993eb38d9759073fc9609a3a5880d0a701698

Observation c2fc52d2-75ce-43c5-85f0-0b96e35df57d · outbound

This paper cites ImPoster: Text and Frequency Guidance for Subject Driven Action Personalization using Diffusion Models.

SynMotion: Semantic-Visual Adaptation for Motion Customized Video Generation ImPoster: Text and Frequency Guidance for Subject Driven Action Personalization using Diffusion Models

Reference 42

Resolution
verified exact
arxiv_id, observed 2026-05-19T08:02:10.397507Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-19T07:59:49.398271Z digest=sha256:c04f6a382a77fd2ac3b11c0ff57fc77c26d6ff3f2930d21ad06a313763d6ee6f

Observation f8e2dec9-9729-4f6f-bcbd-efc075d7bfff · outbound

This paper cites Multi-Concept Customization of Text-to-Image Diffusion.

SynMotion: Semantic-Visual Adaptation for Motion Customized Video Generation Multi-Concept Customization of Text-to-Image Diffusion

Reference 43

Resolution
verified exact
arxiv_id, observed 2026-05-19T08:02:10.344999Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-19T07:59:49.398271Z digest=sha256:0fb2850350d15bc94902690a06632501934e930b2875775db9cd287d34ef3e52

Observation e90fbe00-d53d-43ad-b0a2-ffd806a1185e · outbound

This paper cites Open-sora-plan, April 2024.

SynMotion: Semantic-Visual Adaptation for Motion Customized Video Generation Open-sora-plan, April 2024

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-05-19T08:02:12.215161Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-19T07:59:49.398271Z digest=sha256:e99d0bad7fe9658f2be14f87216e1484fc1f14a4056da151de3987759b04c8b0

Observation 5abbf5e6-f46e-4948-9cf0-b905ea3b1bb7 · outbound

This paper cites BLIP-Diffusion: Pre-trained Subject Representation for Controllable Text-to-Image Generation and Editing.

SynMotion: Semantic-Visual Adaptation for Motion Customized Video Generation BLIP-Diffusion: Pre-trained Subject Representation for Controllable Text-to-Image Generation and Editing

Reference 45

Resolution
verified exact
arxiv_id, observed 2026-05-19T08:02:10.466298Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-19T07:59:49.398271Z digest=sha256:03cba79f4293c3c8a211d9e3ab37fc5551e8f557b4efeb18971f7f7e07a3ee34

Observation 25e838f5-bdb5-474b-a990-571f274aefcf · outbound

This paper cites Generate Anything Anywhere in Any Scene.

SynMotion: Semantic-Visual Adaptation for Motion Customized Video Generation Generate Anything Anywhere in Any Scene

Reference 46

Resolution
verified exact
arxiv_id, observed 2026-05-19T08:02:10.241449Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-19T07:59:49.398271Z digest=sha256:2a1172175587a42c24d6cac94a038bab87403dbb0324587e0dc610d598d5fc23

Observation 56c66a59-befe-49fa-9fbb-b2b2a3ea0e92 · outbound

This paper cites Benchmarking large vision-language models via directed scene graph for comprehensive image captioning.

SynMotion: Semantic-Visual Adaptation for Motion Customized Video Generation Benchmarking large vision-language models via directed scene graph for comprehensive image captioning

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-05-19T08:02:12.206444Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-19T07:59:49.398271Z digest=sha256:faaefd1ff23465e1772b01ba29469b4284bbec05d0909f04b47e567457534501

Observation ccca2125-6a13-4bab-abf8-74f607530c5c · outbound

This paper cites Subject-Diffusion:Open Domain Personalized Text-to-Image Generation without Test-time Fine-tuning.

SynMotion: Semantic-Visual Adaptation for Motion Customized Video Generation Subject-Diffusion:Open Domain Personalized Text-to-Image Generation without Test-time Fine-tuning

Reference 48

Resolution
verified exact
arxiv_id, observed 2026-05-19T08:02:10.283785Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-19T07:59:49.398271Z digest=sha256:4f36e3cbb72dd1d3c60f302bab9c1d36678f7b231ba7d84a55e4382cb870201e

Observation 224ba058-2c64-4c74-9627-91d036262755 · outbound

This paper cites MotionFlow: Attention-Driven Motion Transfer in Video Diffusion Models.

SynMotion: Semantic-Visual Adaptation for Motion Customized Video Generation MotionFlow: Attention-Driven Motion Transfer in Video Diffusion Models

Reference 49

Resolution
metadata mismatch
arxiv_id, observed 2026-05-19T08:02:10.565776Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-19T07:59:49.398271Z digest=sha256:acdb89ce481857ed8d73c51a9cafaec2c75ca71e69910682090735aec3e50280

Observation 2e16899b-a1c6-4464-87ac-0addaadd3fdb · outbound

This paper cites ChatGPT.

SynMotion: Semantic-Visual Adaptation for Motion Customized Video Generation ChatGPT

Reference 50

Resolution
parse uncertain
raw_fallback, observed 2026-05-19T08:02:12.197808Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-19T07:59:49.398271Z digest=sha256:0fa7e1cbb3a73f9223aa1189f17abf6226ea5217716514fadf0bb42c89be1800

Observation fa21e9db-e7fc-450c-a47c-18885283d7af · outbound

This paper cites GPT-4 Technical Report.

SynMotion: Semantic-Visual Adaptation for Motion Customized Video Generation GPT-4 Technical Report

Reference 51

Resolution
verified exact
local_arxiv, observed 2026-05-19T08:02:10.411361Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-19T07:59:49.398271Z digest=sha256:b04c6be2c5d7cb7973d0e7d402fe31accbed1896c93dfe225b60dcb04c1ee634

Observation 847281cf-04f3-42c4-bc5c-26592cdef6c5 · outbound

This paper cites Vasa-rig: Audio-driven 3d facial animation with ‘live’mood dynamics in virtual reality.IEEE Transactions on Visualization and Computer Graphics.

SynMotion: Semantic-Visual Adaptation for Motion Customized Video Generation Vasa-rig: Audio-driven 3d facial animation with ‘live’mood dynamics in virtual reality.IEEE Transactions on Visualization and Computer Graphics

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-05-19T08:02:12.201779Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-19T07:59:49.398271Z digest=sha256:e009d50c21c1a22f9867fa957455c7eb19bbe754eced4afa84db93ac9b34b46d

Observation 8ba06e62-13f4-4e35-a1d9-51332664fd76 · outbound

This paper cites Expressive talking avatars.

SynMotion: Semantic-Visual Adaptation for Motion Customized Video Generation Expressive talking avatars

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-05-19T08:02:12.210960Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-19T07:59:49.398271Z digest=sha256:c0054ca4e3734b208ba9e99a5e17915e634beaf48f856c40c4cd38d3d24c18d0

Observation 86058e81-7273-4b11-8ddc-6ca95d97875e · outbound

This paper cites Emotional voice puppetry.

SynMotion: Semantic-Visual Adaptation for Motion Customized Video Generation Emotional voice puppetry

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-05-19T08:02:12.223335Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-19T07:59:49.398271Z digest=sha256:bdc547a905a2fb65e15abb86ab7b4fdc19c7361eda41ebb7d19e44b4b4b30eb7

Observation 6b18ab41-1b18-46db-82e8-b861338f53cb · outbound

This paper cites Scalable diffusion models with transformers.

SynMotion: Semantic-Visual Adaptation for Motion Customized Video Generation Scalable diffusion models with transformers

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-05-19T08:02:12.299743Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-19T07:59:49.398271Z digest=sha256:82f241d4a360fe0cc4882d334fc92a4a6b1c10cbf0cc840bd567f26f1d87d2c6

Observation d8db7ac2-d9a8-4ff8-b4ca-c4f3279fefc7 · outbound

This paper cites Mos: Modeling object-scene associations in generalized category discovery.

SynMotion: Semantic-Visual Adaptation for Motion Customized Video Generation Mos: Modeling object-scene associations in generalized category discovery

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-05-19T08:02:12.194022Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-19T07:59:49.398271Z digest=sha256:43855579813cdbdacb60ec1dd3f3e44617f1151f3e91b2046d82c5bcf1a432d5

Observation e14c70ae-d6f5-40b2-8cdb-d491b4a1d3e0 · outbound

This paper cites Generalized Category Discovery in Semantic Segmentation.

SynMotion: Semantic-Visual Adaptation for Motion Customized Video Generation Generalized Category Discovery in Semantic Segmentation

Reference 57

Resolution
verified exact
arxiv_id, observed 2026-05-19T08:02:10.425406Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-19T07:59:49.398271Z digest=sha256:4820810578539ae96b75e1c5e3656160e2f625d22c761324ed878abd29b18860

Observation 37282ae2-2e36-4d2e-b485-3f2915af161e · outbound

This paper cites Hierarchical Spatio-temporal Decoupling for Text-to-Video Generation.

SynMotion: Semantic-Visual Adaptation for Motion Customized Video Generation Hierarchical Spatio-temporal Decoupling for Text-to-Video Generation

Reference 58

Resolution
verified exact
arxiv_id, observed 2026-05-19T08:02:10.432478Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-19T07:59:49.398271Z digest=sha256:52bf7e248b8406025bb430c7f9fa0f6e0c35c179fa83f49f0369d63f2830a4e7

Observation 14eb846d-f11f-472c-87f5-33581afca267 · outbound

This paper cites Learning transferable visual models from natural language supervision.

SynMotion: Semantic-Visual Adaptation for Motion Customized Video Generation Learning transferable visual models from natural language supervision

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-05-19T08:02:12.175913Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-19T07:59:49.398271Z digest=sha256:602189378b28ad17f8e7ddd84d540382f70d8def578f7caaeaa8864e3169d0d6

Observation 7a00a28c-9265-42ec-b0d9-7d8cc4f36d02 · outbound

This paper cites Exploring the limits of transfer learning with a unified text-to-text transformer.

SynMotion: Semantic-Visual Adaptation for Motion Customized Video Generation Exploring the limits of transfer learning with a unified text-to-text transformer

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-05-19T08:02:12.180278Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-19T07:59:49.398271Z digest=sha256:f62ef0c0100aa21729d993342a3d34baf38dee7dfc70a14c8a21fb5a20107a8c

Observation 5c4a8cb7-2ba3-4757-a2d4-2a5217e32703 · outbound

This paper cites Hierarchical Text-Conditional Image Generation with CLIP Latents.

SynMotion: Semantic-Visual Adaptation for Motion Customized Video Generation Hierarchical Text-Conditional Image Generation with CLIP Latents

Reference 61

Resolution
verified exact
local_arxiv, observed 2026-05-19T08:02:10.584708Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-19T07:59:49.398271Z digest=sha256:4f5855251c2fafba2b31d4397cba815719b6a6cf752813b91b549da5dc3c60c8

Observation d27cf806-625e-4214-aec6-e466b412f807 · outbound

This paper cites High-resolution image synthesis with latent diffusion models.

SynMotion: Semantic-Visual Adaptation for Motion Customized Video Generation High-resolution image synthesis with latent diffusion models

Reference 62

Resolution
verified fuzzy
raw_fallback, observed 2026-05-19T08:02:12.166777Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-19T07:59:49.398271Z digest=sha256:2d847f20754971d4e9e00387fa3f3a8138f2655fb99885da583631b53ee62e57

Observation c2c6c8f6-ea6e-4d61-90dd-11ae31b898fe · outbound

This paper cites DreamBooth: Fine Tuning Text-to-Image Diffusion Models for Subject-Driven Generation.

SynMotion: Semantic-Visual Adaptation for Motion Customized Video Generation DreamBooth: Fine Tuning Text-to-Image Diffusion Models for Subject-Driven Generation

Reference 63

Resolution
verified exact
arxiv_id, observed 2026-05-19T08:02:10.382336Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-19T07:59:49.398271Z digest=sha256:ba2253e7a0a3651ecd35d454a52b044dedd205f31e7584c95d32f7fa7f71a6d7

Observation 4b527691-2c64-45ae-bf37-d6fd753d230c · outbound

This paper cites Hyperdreambooth: Hypernetworks for fast personalization of text-to- image models.

SynMotion: Semantic-Visual Adaptation for Motion Customized Video Generation Hyperdreambooth: Hypernetworks for fast personalization of text-to- image models

Reference 64

Resolution
verified fuzzy
raw_fallback, observed 2026-05-19T08:02:12.162205Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-19T07:59:49.398271Z digest=sha256:1e654d333b8cec1d45fe6a0a04b22ed51c1ebda17a67fcb48814cbf67a382abb

Observation 86b48d79-7a9d-4dc3-8dd3-b95141516243 · outbound

This paper cites Photorealistic text-to- image diffusion models with deep language understanding.

SynMotion: Semantic-Visual Adaptation for Motion Customized Video Generation Photorealistic text-to- image diffusion models with deep language understanding

Reference 65

Resolution
verified fuzzy
raw_fallback, observed 2026-05-19T08:02:12.151189Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-19T07:59:49.398271Z digest=sha256:9e97360a1957d8e99d3ad858172ff426337b9de235ffb5a8b7d1ce8a98323b34

Observation 10732f66-a21f-477c-91ed-0d5b7ea47e4d · outbound

This paper cites CustomVideoX: 3D Reference Attention Driven Dynamic Adaptation for Zero-Shot Customized Video Diffusion Transformers.

SynMotion: Semantic-Visual Adaptation for Motion Customized Video Generation CustomVideoX: 3D Reference Attention Driven Dynamic Adaptation for Zero-Shot Customized Video Diffusion Transformers

Reference 66

Resolution
verified exact
arxiv_id, observed 2026-05-19T08:02:10.305173Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-19T07:59:49.398271Z digest=sha256:2b4c98ab9938fc19448080a510ce430fa594853d0525fd0803442d0abc760f3d

Observation 22f19353-fd31-4863-96ca-34547edc23f8 · outbound

This paper cites DreamRelation: Bridging Customization and Relation Generation.

SynMotion: Semantic-Visual Adaptation for Motion Customized Video Generation DreamRelation: Bridging Customization and Relation Generation

Reference 67

Resolution
verified exact
arxiv_id, observed 2026-05-19T08:02:10.359946Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-19T07:59:49.398271Z digest=sha256:761d73fc47287beae90f3cf3455029c6559b22f71a9d90b37a0dde0d94269388

Observation ec5ddebc-33fc-48ff-bc81-4871df2622b7 · outbound

This paper cites Motionstone: Decoupled motion intensity modulation with diffusion transformer for image-to-video generation.

SynMotion: Semantic-Visual Adaptation for Motion Customized Video Generation Motionstone: Decoupled motion intensity modulation with diffusion transformer for image-to-video generation

Reference 68

Resolution
verified fuzzy
raw_fallback, observed 2026-05-19T08:02:12.171477Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-19T07:59:49.398271Z digest=sha256:4d401a4f2ec9d7677da94f6ef573c92de761e0882d44fa72546e6a557701559e

Observation d2c2da22-37aa-4203-8e94-c0b84944c5f5 · outbound

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

SynMotion: Semantic-Visual Adaptation for Motion Customized Video Generation Make-a-video: Text-to-video generation without text-video data

Reference 69

Resolution
verified fuzzy
raw_fallback, observed 2026-05-19T08:02:12.118147Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-19T07:59:49.398271Z digest=sha256:7c5638bd6aa901b4fd8853fe6bc6b6b96178407dc760a445b5083c8479464f15

Observation dbd8f26e-6686-4eb1-8588-21040d4af66b · outbound

This paper cites Denoising diffusion implicit models.

SynMotion: Semantic-Visual Adaptation for Motion Customized Video Generation Denoising diffusion implicit models

Reference 70

Resolution
verified fuzzy
raw_fallback, observed 2026-05-19T08:02:12.232732Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-19T07:59:49.398271Z digest=sha256:de561187a891a05aee4dd586fc95d252a421bcd52b7d48540b66ae73295b7804

Observation 8d0906e3-71e8-4c00-8703-ca70e06462fb · outbound

This paper cites Stable Diffusion 2.0 Release.

SynMotion: Semantic-Visual Adaptation for Motion Customized Video Generation Stable Diffusion 2.0 Release

Reference 71

Resolution
verified fuzzy
raw_fallback, observed 2026-05-19T08:02:12.049202Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-19T07:59:49.398271Z digest=sha256:d2a81429678129a9cc4628d8373c917aa2bec26aae1dcb4793b237845d06a84e

Observation 26bd1eca-dfb8-464c-8efd-86fc2aca3d5a · outbound

This paper cites Hunyuan-large: An open-source moe model with 52 billion activated parameters by tencent.

SynMotion: Semantic-Visual Adaptation for Motion Customized Video Generation Hunyuan-large: An open-source moe model with 52 billion activated parameters by tencent

Reference 72

Resolution
verified fuzzy
raw_fallback, observed 2026-05-19T08:02:12.109645Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-19T07:59:49.398271Z digest=sha256:6208a4f3ba01264b9eeb1fead37dba1b94f2e06a301383e8288df6fc13ce6da9

Observation a828fbec-2a56-4787-9432-1ac614659df1 · outbound

This paper cites Mimir: Improving video diffusion models for precise text understanding.

SynMotion: Semantic-Visual Adaptation for Motion Customized Video Generation Mimir: Improving video diffusion models for precise text understanding

Reference 73

Resolution
verified fuzzy
raw_fallback, observed 2026-05-19T08:02:12.054039Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-19T07:59:49.398271Z digest=sha256:4419aa993d9c58e2d7954fe1b6309f5b274e64808f6bd45b0ee64290d7dba48b

Observation 7aafec5f-d89f-4e83-943e-1da335583b69 · outbound

This paper cites Animate-x: Universal character image animation with enhanced motion representation.

SynMotion: Semantic-Visual Adaptation for Motion Customized Video Generation Animate-x: Universal character image animation with enhanced motion representation

Reference 74

Resolution
verified fuzzy
raw_fallback, observed 2026-05-19T08:02:12.113904Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-19T07:59:49.398271Z digest=sha256:ff6601ef861bd34672d401919a7e80f47f0498ff40036214cd6c652d648babdf

Observation e6002792-3538-4e1c-a31f-13f4f5e80b4a · outbound

This paper cites Edtalk: Efficient disentanglement for emotional talking head synthesis.

SynMotion: Semantic-Visual Adaptation for Motion Customized Video Generation Edtalk: Efficient disentanglement for emotional talking head synthesis

Reference 75

Resolution
verified fuzzy
raw_fallback, observed 2026-05-19T08:02:12.128184Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-19T07:59:49.398271Z digest=sha256:69b8ee7b64717142aef6960ff7217e0acb8b2ba0a35e164bee920cc52e6fcf20

Observation d19af50e-b0d9-48be-b893-255dfbc3a2a8 · outbound

This paper cites Say anything with any style.

SynMotion: Semantic-Visual Adaptation for Motion Customized Video Generation Say anything with any style

Reference 76

Resolution
verified fuzzy
raw_fallback, observed 2026-05-19T08:02:12.087999Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-19T07:59:49.398271Z digest=sha256:7a7a30f42de568c0c1ea58ee6d15f2208d791f488a162cac3fac880debd034ea

Observation 5967e65c-efb8-4396-b7d0-a6271f176269 · outbound

This paper cites Emmn: Emotional motion memory network for audio-driven emotional talking face generation.

SynMotion: Semantic-Visual Adaptation for Motion Customized Video Generation Emmn: Emotional motion memory network for audio-driven emotional talking face generation

Reference 77

Resolution
verified fuzzy
raw_fallback, observed 2026-05-19T08:02:12.092415Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-19T07:59:49.398271Z digest=sha256:1db107a5d0499650e0e3611d7f1106ea803e1668329ab5b40716bef519dc5a26

Observation e2ed14f8-871f-4e5f-adcf-39e50cc89b37 · outbound

This paper cites Flowvqtalker: High-quality emotional talking face generation through normalizing flow and quantization.

SynMotion: Semantic-Visual Adaptation for Motion Customized Video Generation Flowvqtalker: High-quality emotional talking face generation through normalizing flow and quantization

Reference 78

Resolution
verified fuzzy
raw_fallback, observed 2026-05-19T08:02:12.105147Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-19T07:59:49.398271Z digest=sha256:67e9d40ff123c2f327662c54566b2ade4aa875d641d49b5624f47491ce3c11a8

Observation 85fa438a-27ff-4092-9090-63d9c70de093 · outbound

This paper cites Style2talker: High-resolution talking head generation with emotion style and art style.

SynMotion: Semantic-Visual Adaptation for Motion Customized Video Generation Style2talker: High-resolution talking head generation with emotion style and art style

Reference 79

Resolution
verified fuzzy
raw_fallback, observed 2026-05-19T08:02:12.268956Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-19T07:59:49.398271Z digest=sha256:cadc2a66bef2d8ddd83e3fd6919d8cdda7972544c7337051589a34c2bd25d003

Observation b6887621-2b9e-4307-bf19-178c9182c079 · outbound

This paper cites an unresolved cited work.

SynMotion: Semantic-Visual Adaptation for Motion Customized Video Generation Unresolved cited work

Reference 80

Resolution
unresolved
raw_fallback, observed 2026-05-19T08:02:12.057802Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-19T07:59:49.398271Z digest=sha256:0e154fd7606ac5d6a0cd7add83d64f86a1c451ac1f0e4a4687bb53285061d1a1

Observation 8d380d80-da0d-4199-bd52-1abae46bd6d7 · outbound

This paper cites P+: Extended Textual Conditioning in Text-to-Image Generation.

SynMotion: Semantic-Visual Adaptation for Motion Customized Video Generation P+: Extended Textual Conditioning in Text-to-Image Generation

Reference 81

Resolution
verified exact
arxiv_id, observed 2026-05-19T08:02:10.389326Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-19T07:59:49.398271Z digest=sha256:8dff3d51c49dd404a844c7df3f01bde9d7be2219ecb679c09012d7f81336a508

Observation 97dccc30-a719-4a45-b828-e96ce59a65f4 · outbound

This paper cites ModelScope Text-to-Video Technical Report.

SynMotion: Semantic-Visual Adaptation for Motion Customized Video Generation ModelScope Text-to-Video Technical Report

Reference 82

Resolution
verified exact
local_arxiv, observed 2026-05-19T08:02:10.578896Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-19T07:59:49.398271Z digest=sha256:3e2542cfa9d5642a6d82d7fe7590164941f1e8128c6e72875c94b191191b7b41

Observation c40e0aac-9f2d-40d7-97c3-46d5e47a815a · outbound

This paper cites Motion Inversion for Video Customization.

SynMotion: Semantic-Visual Adaptation for Motion Customized Video Generation Motion Inversion for Video Customization

Reference 83

Resolution
verified exact
arxiv_id, observed 2026-05-19T08:02:10.276503Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-19T07:59:49.398271Z digest=sha256:4918d2407e04f65bb8b58f7114dc482820812a6a65230269f3e26948e4ba4367

Observation 8dce6031-506a-422a-90b5-407725958f72 · outbound

This paper cites Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution.

SynMotion: Semantic-Visual Adaptation for Motion Customized Video Generation Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution

Reference 84

Resolution
verified exact
local_arxiv, observed 2026-05-19T08:02:10.318941Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-19T07:59:49.398271Z digest=sha256:4efcb3aeba416cba080288e6e59205f073640c4cd1e047cd906102e810c6059f

Observation 2d839ab3-6b1e-4d9c-b7c5-86fbf2d72234 · outbound

This paper cites A recipe for scaling up text-to-video generation with text-free videos.

SynMotion: Semantic-Visual Adaptation for Motion Customized Video Generation A recipe for scaling up text-to-video generation with text-free videos

Reference 85

Resolution
verified fuzzy
raw_fallback, observed 2026-05-19T08:02:12.044566Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-19T07:59:49.398271Z digest=sha256:99be00c3d1e45008443c065e4285658cb0e380b876596fd70a8123736d75cb01

Observation c6efda44-efad-4c85-8762-93978af032c0 · outbound

This paper cites Wan: Open and advanced large-scale video generative models.

SynMotion: Semantic-Visual Adaptation for Motion Customized Video Generation Wan: Open and advanced large-scale video generative models

Reference 86

Resolution
verified fuzzy
raw_fallback, observed 2026-05-19T08:02:12.189028Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-19T07:59:49.398271Z digest=sha256:74599605af38eaef1fdb1f720c514a7d0c6d81f50b3b194c74d0fd708ec01dcb

Observation 5d03f3c6-9d1b-49d4-b115-f606c1edbe46 · outbound

This paper cites DreamRelation: Relation-Centric Video Customization.

SynMotion: Semantic-Visual Adaptation for Motion Customized Video Generation DreamRelation: Relation-Centric Video Customization

Reference 87

Resolution
verified exact
arxiv_id, observed 2026-05-19T08:02:10.270039Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-19T07:59:49.398271Z digest=sha256:bd4fe8ab781f45bcb3317a1e94eb50fe6ef8e729c0d6fb3cb59a270d3165df32

Observation 02bda76d-e424-4691-969f-c0f4595b5dd1 · outbound

This paper cites ELITE: Encoding Visual Concepts into Textual Embeddings for Customized Text-to-Image Generation.

SynMotion: Semantic-Visual Adaptation for Motion Customized Video Generation ELITE: Encoding Visual Concepts into Textual Embeddings for Customized Text-to-Image Generation

Reference 88

Resolution
verified exact
arxiv_id, observed 2026-05-19T08:02:10.375261Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-19T07:59:49.398271Z digest=sha256:49ce704c01d73a7b149310de641b64bf7e0a925bcb2f7ccc0a2c23bbee08a4f9

Observation ea3567c5-4769-460a-a90a-3b6944d14b55 · outbound

This paper cites Tune-a-video: One-shot tuning of image diffusion models for text-to-video generation.

SynMotion: Semantic-Visual Adaptation for Motion Customized Video Generation Tune-a-video: One-shot tuning of image diffusion models for text-to-video generation

Reference 89

Resolution
verified fuzzy
raw_fallback, observed 2026-05-19T08:02:12.075094Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-19T07:59:49.398271Z digest=sha256:43a2ac62d288167ab513ecb1de91d9232873663f1d804ecb675aa9ea21d5f119

Observation 8b73aebd-0140-40db-8b6b-30be63da433c · outbound

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

SynMotion: Semantic-Visual Adaptation for Motion Customized Video Generation MotionBooth: Motion-Aware Customized Text-to-Video Generation

Reference 90

Resolution
verified exact
arxiv_id, observed 2026-05-19T08:02:10.614007Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-19T07:59:49.398271Z digest=sha256:5e2eb3444b48a128078c8c11458af9429b3a10b4865a4fd4ef4774a0a6b9bcb8

Observation 85200cf7-3b60-4892-8817-72461ee0b9e9 · outbound

This paper cites VideoMaker: Zero-shot Customized Video Generation with the Inherent Force of Video Diffusion Models.

SynMotion: Semantic-Visual Adaptation for Motion Customized Video Generation VideoMaker: Zero-shot Customized Video Generation with the Inherent Force of Video Diffusion Models

Reference 91

Resolution
verified exact
arxiv_id, observed 2026-05-19T08:02:10.490458Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-19T07:59:49.398271Z digest=sha256:efa81ece0e57f4cfcac948ab4c1b671cfa7bc613b51842a4bc561fbba9a4f5d0

Observation 18161855-8512-4f01-8c79-8905e9efe585 · outbound

This paper cites CustomCrafter: Customized Video Generation with Preserving Motion and Concept Composition Abilities.

SynMotion: Semantic-Visual Adaptation for Motion Customized Video Generation CustomCrafter: Customized Video Generation with Preserving Motion and Concept Composition Abilities

Reference 92

Resolution
verified exact
arxiv_id, observed 2026-05-19T08:02:10.607556Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-19T07:59:49.398271Z digest=sha256:6c5a6e0101d12d30492641a8c9eb55f7d8a3693bb6ae5a94ee95b9ec2abd89f1

Observation a6ba775a-6ba4-4a59-81ad-563bacc09166 · outbound

This paper cites SANA: Efficient High-Resolution Image Synthesis with Linear Diffusion Transformers.

SynMotion: Semantic-Visual Adaptation for Motion Customized Video Generation SANA: Efficient High-Resolution Image Synthesis with Linear Diffusion Transformers

Reference 93

Resolution
verified exact
local_arxiv, observed 2026-05-19T08:02:10.600384Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-19T07:59:49.398271Z digest=sha256:9264243e253c8c923ee480fd4a4a5e08d05da709db1f3cac9f25b08eeeae6c2f

Observation c1bc7727-e8e0-4466-8dae-752d1999253e · outbound

This paper cites SimDA: Simple Diffusion Adapter for Efficient Video Generation.

SynMotion: Semantic-Visual Adaptation for Motion Customized Video Generation SimDA: Simple Diffusion Adapter for Efficient Video Generation

Reference 94

Resolution
verified exact
arxiv_id, observed 2026-05-19T08:02:10.442544Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-19T07:59:49.398271Z digest=sha256:bfe0d7bc26d2591a7bd6e67bfb8fb440b726b17ddbc2ef4deceb6c004ed814de

Observation dea3775c-01e5-4182-82ca-431156cf7cbb · outbound

This paper cites Prompt-Free Diffusion: Taking "Text" out of Text-to-Image Diffusion Models.

SynMotion: Semantic-Visual Adaptation for Motion Customized Video Generation Prompt-Free Diffusion: Taking "Text" out of Text-to-Image Diffusion Models

Reference 95

Resolution
verified exact
arxiv_id, observed 2026-05-19T08:02:10.249676Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-19T07:59:49.398271Z digest=sha256:041daae4a1245f990fc125c553e98b24dbc24c9d350cd805389b0a3d4ec9f078

Observation b5d09024-2a1e-45c3-b2ae-fe259f5bcd2d · outbound

This paper cites CogVideoX: Text-to-Video Diffusion Models with An Expert Transformer.

SynMotion: Semantic-Visual Adaptation for Motion Customized Video Generation CogVideoX: Text-to-Video Diffusion Models with An Expert Transformer

Reference 96

Resolution
verified exact
local_arxiv, observed 2026-05-19T08:02:10.507341Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-19T07:59:49.398271Z digest=sha256:f5ac8ddabf1f95f30db79db9d07f263481d5494d85e10a00a95eaf824b369d76

Observation 8903b534-9cf1-4b72-b1e4-67c085a8d2a6 · outbound

This paper cites Space-time diffusion features for zero-shot text-driven motion transfer.

SynMotion: Semantic-Visual Adaptation for Motion Customized Video Generation Space-time diffusion features for zero-shot text-driven motion transfer

Reference 97

Resolution
verified fuzzy
raw_fallback, observed 2026-05-19T08:02:12.070817Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-19T07:59:49.398271Z digest=sha256:28c8457667797166dbafc7cfc6e2921e3fc059efc7f6276f80eb8f543a6b3cf1

Observation 57016c3e-558d-4284-ae8f-60699b460cb0 · outbound

This paper cites IP-Adapter: Text Compatible Image Prompt Adapter for Text-to-Image Diffusion Models.

SynMotion: Semantic-Visual Adaptation for Motion Customized Video Generation IP-Adapter: Text Compatible Image Prompt Adapter for Text-to-Image Diffusion Models

Reference 98

Resolution
verified exact
local_arxiv, observed 2026-05-19T08:02:10.484831Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-19T07:59:49.398271Z digest=sha256:4b9ab0a63637be57554b42d9ebf4b3dd1a94172e38d7188fcd4401cf6bcc5ba9

Observation bbdb52ac-cb23-4abd-aa0c-5035ef792f8d · outbound

This paper cites MotionShop: Zero-Shot Motion Transfer in Video Diffusion Models with Mixture of Score Guidance.

SynMotion: Semantic-Visual Adaptation for Motion Customized Video Generation MotionShop: Zero-Shot Motion Transfer in Video Diffusion Models with Mixture of Score Guidance

Reference 99

Resolution
verified exact
arxiv_id, observed 2026-05-19T08:02:10.418659Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-19T07:59:49.398271Z digest=sha256:f358968a7b4b1f018348c12b6d375ea525f2ca540114efcab4a90e0874ab146d

Observation 588b85d0-ab55-4ce7-abe2-0f11d7c565bf · outbound

This paper cites InstructVideo: Instructing Video Diffusion Models with Human Feedback.

SynMotion: Semantic-Visual Adaptation for Motion Customized Video Generation InstructVideo: Instructing Video Diffusion Models with Human Feedback

Reference 100

Resolution
verified exact
arxiv_id, observed 2026-05-19T08:02:10.552578Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-19T07:59:49.398271Z digest=sha256:dbc0a44ac6698bdec07eb6f5fc8b8ac44804884dfbcd0721eb0ab178622ce139

Pith citing papers

Observation e24caf5b-8e41-49c7-b373-771650d6ec97 · inbound

Animate-X++: Universal Character Image Animation with Dynamic Backgrounds cites this paper.

Animate-X++: Universal Character Image Animation with Dynamic Backgrounds SynMotion: Semantic-Visual Adaptation for Motion Customized Video Generation

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-05T21:09:08.202397Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T21:09:08.202397Z digest=sha256:0734bddc627e2dbe5bef3b91880d25e68b3986df40cd760d737e5f6634e23ded

Observation 791dd7d2-34da-4f6c-b209-966838430a83 · inbound

EDTalk++: Full Disentanglement for Controllable Talking Head Synthesis cites this paper.

EDTalk++: Full Disentanglement for Controllable Talking Head Synthesis SynMotion: Semantic-Visual Adaptation for Motion Customized Video Generation

Reference 13

Resolution
verified exact
local_arxiv, observed 2026-08-05T19:07:47.214751Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-05T19:07:29.774246Z digest=sha256:44886335f72c75048f0bdd6543a79f85f417abc57d8b71a18efeb03bb76bc6c6