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Paper Citation Record · LEDGER

BridgeIV: Bridging Customized Image and Video Generation through Test-Time Autoregressive Identity Propagation

As of 17 August 2026, this Paper Citation Record lists 55 of 55 outbound references and 0 inbound Pith citation observations for arXiv:2505.06985.

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

pith.paper-citation-record.v1
2505.06985 v1

Coverage vector

measured 55 of 55 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T22:32:32.396118Z

measured 55 of 55 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

55 of 55 outbound references displayed

  • verified exact0
  • verified fuzzy22
  • unresolved33
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation e6837bbc-9aa6-4a8d-ae48-cb324337c052 · outbound

This paper cites eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers.

BridgeIV: Bridging Customized Image and Video Generation through Test-Time Autoregressive Identity Propagation eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers

Reference 1

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source=pdf_text observed=2026-08-15T22:32:32.146031Z digest=sha256:20f45c1a2e13d3463c7f71c780cf9d10a63fea8c59de5a65ba5cd9c771d0cb38

Observation 9897dc32-7605-4b47-9ea0-e6cbfae6b2bc · outbound

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

BridgeIV: Bridging Customized Image and Video Generation through Test-Time Autoregressive Identity Propagation Stable Video Diffusion: Scaling Latent Video Diffusion Models to Large Datasets

Reference 2

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source=pdf_text observed=2026-08-15T22:32:32.151377Z digest=sha256:5c3a79213a3741d7f28918f6675a7e8718ba594965eb6ecf30d7c1e68e76d40b

Observation 38b634a7-e0c8-4785-a001-264123536f20 · outbound

This paper cites Align your latents: High-resolution video synthesis with la- tent diffusion models.

BridgeIV: Bridging Customized Image and Video Generation through Test-Time Autoregressive Identity Propagation Align your latents: High-resolution video synthesis with la- tent diffusion models

Reference 3

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T22:32:32.155962Z digest=sha256:1e0b3bea45414e27ed390c2010d6a7d82fd392b85cd1ffe62acdf1c9bfeb17d6

Observation 5a7b34a8-1fc4-402c-b4f7-5a57946a29ae · outbound

This paper cites Still-moving: Customized video generation without customized video data.

BridgeIV: Bridging Customized Image and Video Generation through Test-Time Autoregressive Identity Propagation Still-moving: Customized video generation without customized video data

Reference 4

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T22:32:32.160099Z digest=sha256:c547fbb6dc376eee1dcf1f2f7b08b3320d0d64157393df8523d30e4781c48499

Observation ba8d9ee9-2985-476a-8f1b-91e92336316a · outbound

This paper cites VideoDreamer: Customized Multi-Subject Text-to-Video Generation with Disen-Mix Finetuning on Language-Video Foundation Models.

BridgeIV: Bridging Customized Image and Video Generation through Test-Time Autoregressive Identity Propagation VideoDreamer: Customized Multi-Subject Text-to-Video Generation with Disen-Mix Finetuning on Language-Video Foundation Models

Reference 5

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:32:32.163885Z digest=sha256:152c1b6a5de4916ff24184def24476dcb349ce773140d408943c697c2704a1a9

Observation 2fecdf94-cdac-4d64-a868-7c468560c4bf · outbound

This paper cites Sitcom-Crafter: A Plot-Driven Human Motion Generation System in 3D Scenes.

BridgeIV: Bridging Customized Image and Video Generation through Test-Time Autoregressive Identity Propagation Sitcom-Crafter: A Plot-Driven Human Motion Generation System in 3D Scenes

Reference 6

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source=pdf_text observed=2026-08-15T22:32:32.168454Z digest=sha256:6cf20fdf27cc83b5b3aaee92e6520c59b2456f6b114107f1b129c1bb4e5963ba

Observation 34e6bbc9-3769-44db-a465-dc9aed044128 · outbound

This paper cites PhotoVerse: Tuning-Free Image Customization with Text-to-Image Diffusion Models.

BridgeIV: Bridging Customized Image and Video Generation through Test-Time Autoregressive Identity Propagation PhotoVerse: Tuning-Free Image Customization with Text-to-Image Diffusion Models

Reference 7

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:32:32.178322Z digest=sha256:e4b3602f7636fef17617781aae07e5d5cc005d3554ad7164c4723726363a0c65

Observation ad52f914-6ad9-4ed2-b8c9-0e5af23b63df · outbound

This paper cites Cats: Cost ag- gregation transformers for visual correspondence.

BridgeIV: Bridging Customized Image and Video Generation through Test-Time Autoregressive Identity Propagation Cats: Cost ag- gregation transformers for visual correspondence

Reference 8

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source=pdf_text observed=2026-08-15T22:32:32.183522Z digest=sha256:37091678d44a835917010c502c967b14467f6b6eb9232842efc71ebdeba30b83

Observation 0f1cab8b-b986-4e49-995c-fa4e2ac6b114 · outbound

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

BridgeIV: Bridging Customized Image and Video Generation through Test-Time Autoregressive Identity Propagation An Image is Worth One Word: Personalizing Text-to-Image Generation using Textual Inversion

Reference 9

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-15T22:32:32.188607Z digest=sha256:ce73f55dc93bb2ea4d0a3c9e46e65e7f6b386f03a87266c69be59e31d9c6753c

Observation 3f6af155-4830-4b23-8656-15b0325d2000 · outbound

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

BridgeIV: Bridging Customized Image and Video Generation through Test-Time Autoregressive Identity Propagation AnimateDiff: Animate Your Personalized Text-to-Image Diffusion Models without Specific Tuning

Reference 10

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source=pdf_text observed=2026-08-15T22:32:32.192780Z digest=sha256:d1765e456c3461dbebba8ca0d1c99ebaada0a434ebdc32832bbd55c8fd46baab

Observation 46b0a418-2498-482b-9707-2f1a477667ff · outbound

This paper cites Svdiff: Compact param- eter space for diffusion fine-tuning.

BridgeIV: Bridging Customized Image and Video Generation through Test-Time Autoregressive Identity Propagation Svdiff: Compact param- eter space for diffusion fine-tuning

Reference 11

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source=pdf_text observed=2026-08-15T22:32:32.199416Z digest=sha256:30aeca514fe321213d2a79d17f042900c95dfb253e50ab10fa207a3cac17f4a1

Observation 6da2bb06-5e1c-4c2b-9d3b-59360ff52d50 · outbound

This paper cites ViCo: Plug-and-play Visual Condition for Personalized Text-to-image Generation.

BridgeIV: Bridging Customized Image and Video Generation through Test-Time Autoregressive Identity Propagation ViCo: Plug-and-play Visual Condition for Personalized Text-to-image Generation

Reference 12

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source=pdf_text observed=2026-08-15T22:32:32.204264Z digest=sha256:1f5832ac0efaf6d9bb7b9e13e12d05cd2adf1e16f689a393d8e886f805ff3dcf

Observation 21a000c6-425b-4027-93a9-b9f5c3b234f4 · outbound

This paper cites ID-Animator: Zero-Shot Identity-Preserving Human Video Generation.

BridgeIV: Bridging Customized Image and Video Generation through Test-Time Autoregressive Identity Propagation ID-Animator: Zero-Shot Identity-Preserving Human Video Generation

Reference 13

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source=pdf_text observed=2026-08-15T22:32:32.209426Z digest=sha256:9363e8ded026ba682b60d33142d1510a53ca457a7fbd7788d4d8c7bc181d5ffd

Observation 3d73be6f-bd59-4eab-8336-f71a82d5a2fa · outbound

This paper cites Latent Video Diffusion Models for High-Fidelity Long Video Generation.

BridgeIV: Bridging Customized Image and Video Generation through Test-Time Autoregressive Identity Propagation Latent Video Diffusion Models for High-Fidelity Long Video Generation

Reference 14

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:32:32.214092Z digest=sha256:ddec8df180af80c62d5d57d855b4b22eace2e626280b470bb2a5d1ba72a60331

Observation 53ad9586-fd62-4cbb-a1e1-052375a64cd3 · outbound

This paper cites Prompt-to-Prompt Image Editing with Cross Attention Control.

BridgeIV: Bridging Customized Image and Video Generation through Test-Time Autoregressive Identity Propagation Prompt-to-Prompt Image Editing with Cross Attention Control

Reference 15

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source=pdf_text observed=2026-08-15T22:32:32.220376Z digest=sha256:2d8a6748ec906806157d43c87b940b9556658518d1ea4a884eff392e9da1d4e5

Observation 74c277a4-8b37-4b65-b68b-9656ef681800 · outbound

This paper cites Neural matching fields: Implicit representation of matching fields for visual correspondence.

BridgeIV: Bridging Customized Image and Video Generation through Test-Time Autoregressive Identity Propagation Neural matching fields: Implicit representation of matching fields for visual correspondence

Reference 16

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T22:32:32.229691Z digest=sha256:7a826aae41a658beb9faad7c7bd2ed2a6306abbfa2690cb7ac9b8bfc95056447

Observation 13c17ae7-b9ba-439a-8cdd-edc6a5098c00 · outbound

This paper cites The hadamard product.

BridgeIV: Bridging Customized Image and Video Generation through Test-Time Autoregressive Identity Propagation The hadamard product

Reference 17

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T22:32:32.235271Z digest=sha256:90390926b8d877c35498087e01beac4d668822d109c25c6bbced850f5c455c68

Observation 3d873e98-d321-4b9e-b6c8-87a2b00873a4 · outbound

This paper cites A reinforcement learning-based automatic video editing method using pre-trained vision-language model.

BridgeIV: Bridging Customized Image and Video Generation through Test-Time Autoregressive Identity Propagation A reinforcement learning-based automatic video editing method using pre-trained vision-language model

Reference 18

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T22:32:32.240721Z digest=sha256:35ffc5f14f37d22cbcc915310cb0937154183bae986d5996f9db670338a79be0

Observation eda4bc24-6ccd-4d1a-93bf-9756cef6d866 · outbound

This paper cites StoryAgent: Customized Storytelling Video Generation via Multi-Agent Collaboration.

BridgeIV: Bridging Customized Image and Video Generation through Test-Time Autoregressive Identity Propagation StoryAgent: Customized Storytelling Video Generation via Multi-Agent Collaboration

Reference 19

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source=pdf_text observed=2026-08-15T22:32:32.244929Z digest=sha256:8132518a2558628be703dcc24d1b4e9ffb97edf4e027597495c37592d24e1b0d

Observation 41981e65-9910-45f1-b66f-14f61b1ca7dd · outbound

This paper cites Videobooth: Diffusion-based video generation with image prompts.

BridgeIV: Bridging Customized Image and Video Generation through Test-Time Autoregressive Identity Propagation Videobooth: Diffusion-based video generation with image prompts

Reference 20

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T22:32:32.248676Z digest=sha256:5edc25e756f28de57f962ab88214e9ab61fd1b91e98fadbe4ce2dec843a1176d

Observation ba38c28a-d639-4279-ada4-ade8c1a29c19 · outbound

This paper cites PersonalVideo: High ID-Fidelity Video Customization without Dynamic and Semantic Degradation.

BridgeIV: Bridging Customized Image and Video Generation through Test-Time Autoregressive Identity Propagation PersonalVideo: High ID-Fidelity Video Customization without Dynamic and Semantic Degradation

Reference 21

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source=pdf_text observed=2026-08-15T22:32:32.252842Z digest=sha256:d8fa569048c7c75f6fd158bc3accd10b326dd0253fd62db5b0163cf09afc951b

Observation ecf96ebc-3409-4b3d-9008-ad7029298ceb · outbound

This paper cites Cones: Concept Neurons in Diffusion Models for Customized Generation.

BridgeIV: Bridging Customized Image and Video Generation through Test-Time Autoregressive Identity Propagation Cones: Concept Neurons in Diffusion Models for Customized Generation

Reference 22

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source=pdf_text observed=2026-08-15T22:32:32.257156Z digest=sha256:590c098cbc45d29e38bd37ddcde07d8643d94d014c47572c5acd9e32178dd60c

Observation 97e01da7-1cca-4189-b60e-dad0fcc75447 · outbound

This paper cites Videostudio: Generating consistent-content and multi-scene videos.

BridgeIV: Bridging Customized Image and Video Generation through Test-Time Autoregressive Identity Propagation Videostudio: Generating consistent-content and multi-scene videos

Reference 23

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raw_fallback, observed 2026-08-15T22:32:33.127953Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T22:32:32.261554Z digest=sha256:75ef3a04cec268cb8787e1c70b383684497d8bab1bc5bc343d79afb0982159b0

Observation 8afb2a4c-f578-4737-8312-648f7bc6fce9 · outbound

This paper cites Magic-Me: Identity-Specific Video Customized Diffusion.

BridgeIV: Bridging Customized Image and Video Generation through Test-Time Autoregressive Identity Propagation Magic-Me: Identity-Specific Video Customized Diffusion

Reference 24

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source=pdf_text observed=2026-08-15T22:32:32.265592Z digest=sha256:e8d04274a70ea10cab77616c82620cd6491ea8797f3bc18b768859fe4199a56d

Observation 158a6e24-bced-4717-a3ea-ae8415f28287 · outbound

This paper cites Dreammatcher: appearance matching self-attention for semantically-consistent text-to- image personalization.

BridgeIV: Bridging Customized Image and Video Generation through Test-Time Autoregressive Identity Propagation Dreammatcher: appearance matching self-attention for semantically-consistent text-to- image personalization

Reference 25

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T22:32:32.271073Z digest=sha256:a23800ed3e8b2ac9bcf999e61d2c9a52e1cea3ad1db9a7c81d35d510b9112eaf

Observation 64f8f417-6f95-4951-a119-2d4e9b70805c · outbound

This paper cites Attndreambooth: To- wards text-aligned personalized text-to-image generation.

BridgeIV: Bridging Customized Image and Video Generation through Test-Time Autoregressive Identity Propagation Attndreambooth: To- wards text-aligned personalized text-to-image generation

Reference 26

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T22:32:32.275319Z digest=sha256:fc82cd7eb3f1fc5b99f3adaeebada94523ad201cf95b3d8d6946805f3d9c7070

Observation 78744866-03e8-4b70-b825-1de9cba1a88c · outbound

This paper cites Learning transferable visual models from natural language supervi- sion.

BridgeIV: Bridging Customized Image and Video Generation through Test-Time Autoregressive Identity Propagation Learning transferable visual models from natural language supervi- sion

Reference 27

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source=pdf_text observed=2026-08-15T22:32:32.280088Z digest=sha256:d3686cf3fc62bf9898919527ab68b4897996d840d89e1316e6ec0bb976c36195

Observation 2cf1ca1a-2024-410d-944a-dc5cd0015a42 · outbound

This paper cites Grounded sam: Assembling open-world models for diverse visual tasks,.

BridgeIV: Bridging Customized Image and Video Generation through Test-Time Autoregressive Identity Propagation Grounded sam: Assembling open-world models for diverse visual tasks,

Reference 28

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source=pdf_text observed=2026-08-15T22:32:32.284807Z digest=sha256:96dd039c840b8b2d54698572c7aafce5fe1a670d5ddd38b792c177c64ce4d753

Observation bf9e5834-838b-4c05-9750-bc45d6cea47b · outbound

This paper cites ConsistI2V: Enhancing Visual Consistency for Image-to-Video Generation.

BridgeIV: Bridging Customized Image and Video Generation through Test-Time Autoregressive Identity Propagation ConsistI2V: Enhancing Visual Consistency for Image-to-Video Generation

Reference 29

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source=pdf_text observed=2026-08-15T22:32:32.292029Z digest=sha256:1ec59fa294a0732a5a0a83d62394b5ddb48ad79b8989bfdb4b2bbef47e74a627

Observation bd0628b8-07b9-488b-a2a1-24c857161d97 · outbound

This paper cites High-resolution image syn- thesis with latent diffusion models, 2021.

BridgeIV: Bridging Customized Image and Video Generation through Test-Time Autoregressive Identity Propagation High-resolution image syn- thesis with latent diffusion models, 2021

Reference 30

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source=pdf_text observed=2026-08-15T22:32:32.296068Z digest=sha256:eb55d6bbe9b8dc9f53c0959cdf57617191a022df7dfdc3edf0fb7bd53b6127be

Observation bc82d961-2d3a-4e8a-ab8e-f8cfadf9c847 · outbound

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

BridgeIV: Bridging Customized Image and Video Generation through Test-Time Autoregressive Identity Propagation Dreambooth: Fine tuning text-to-image diffusion models for subject-driven generation

Reference 31

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T22:32:32.300641Z digest=sha256:c35fe55a3845f44dcc9150254f99eea5df22ed40ebb121ed4015a9deb18d38f2

Observation 1512356c-f166-41c7-b12a-554ad3f764a4 · outbound

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

BridgeIV: Bridging Customized Image and Video Generation through Test-Time Autoregressive Identity Propagation CustomVideoX: 3D Reference Attention Driven Dynamic Adaptation for Zero-Shot Customized Video Diffusion Transformers

Reference 32

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source=pdf_text observed=2026-08-15T22:32:32.304969Z digest=sha256:39a479f26f96d70241207fbaadeb159dfa0e0207b5e5c6fdfcc0c22a69407f76

Observation c5744641-6bb5-4d06-8af3-2ce023a5d7c1 · outbound

This paper cites Denoising Diffusion Implicit Models.

BridgeIV: Bridging Customized Image and Video Generation through Test-Time Autoregressive Identity Propagation Denoising Diffusion Implicit Models

Reference 33

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source=pdf_text observed=2026-08-15T22:32:32.309810Z digest=sha256:9f96c74496359134b5472144711d91b5d6a812cba1960ae99338dbf1ac9486ec

Observation 2efcfbb2-d5b2-451c-b055-c9404b8a3a79 · outbound

This paper cites Emergent correspondence from image diffusion.

BridgeIV: Bridging Customized Image and Video Generation through Test-Time Autoregressive Identity Propagation Emergent correspondence from image diffusion

Reference 34

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raw_fallback, observed 2026-08-15T22:32:33.046269Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T22:32:32.313611Z digest=sha256:00fe6fe622e3f42e36cf435620477b45f27ba825f2f8d6841829400738ad49a3

Observation 53f83da5-7c47-4830-b937-47a9b89772c1 · outbound

This paper cites Key-locked rank one editing for text-to-image personaliza- tion.

BridgeIV: Bridging Customized Image and Video Generation through Test-Time Autoregressive Identity Propagation Key-locked rank one editing for text-to-image personaliza- tion

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:32:33.034640Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T22:32:32.318014Z digest=sha256:b518f0e68a028e84b93699c42d8e43b2125dcb9a44816abd759857a92ff2aae7

Observation 9e8821a4-d573-4288-ab92-213b49780666 · outbound

This paper cites Pdc-net+: Enhanced probabilistic dense corre- spondence network.

BridgeIV: Bridging Customized Image and Video Generation through Test-Time Autoregressive Identity Propagation Pdc-net+: Enhanced probabilistic dense corre- spondence network

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:32:33.022538Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T22:32:32.322162Z digest=sha256:881319b4343f922ed2832ca77a19e73adf3ecebade30b78cd71d325539eb4652

Observation 5af2f65e-ad37-46bc-8c7d-e3a8c0842f2a · outbound

This paper cites Plug-and-play diffusion features for text-driven image-to-image translation.

BridgeIV: Bridging Customized Image and Video Generation through Test-Time Autoregressive Identity Propagation Plug-and-play diffusion features for text-driven image-to-image translation

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-15T22:32:32.326022Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:32:32.326022Z digest=sha256:5ba067ffdbaece83b55236b932a96e960eddaf4f315a09f991990c9f4a12a637

Observation 57f2e0de-6010-4a8f-94ec-ed0055051f76 · outbound

This paper cites DreamVideo: High-Fidelity Image-to-Video Generation with Image Retention and Text Guidance.

BridgeIV: Bridging Customized Image and Video Generation through Test-Time Autoregressive Identity Propagation DreamVideo: High-Fidelity Image-to-Video Generation with Image Retention and Text Guidance

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-15T22:32:32.330115Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:32:32.330115Z digest=sha256:15d254253a4b988bb4f0eaebab5f0d6b00fc88eb38e10f82574ba04af49ba331

Observation b6578885-a84c-4bfc-840d-01ea7dfa1cc6 · outbound

This paper cites EasyControl: Transfer ControlNet to Video Diffusion for Controllable Generation and Interpolation.

BridgeIV: Bridging Customized Image and Video Generation through Test-Time Autoregressive Identity Propagation EasyControl: Transfer ControlNet to Video Diffusion for Controllable Generation and Interpolation

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-15T22:32:32.333799Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:32:32.333799Z digest=sha256:1542f09449fcf3d9f2ae67cf7d60537c8a6b3b0caad96133d194d9c83431e724

Observation c28f8a3e-0982-43b2-8d63-c6ab0c7fc6ed · outbound

This paper cites Uniadapter: All-in-one control for flexible video generation.

BridgeIV: Bridging Customized Image and Video Generation through Test-Time Autoregressive Identity Propagation Uniadapter: All-in-one control for flexible video generation

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:32:33.003110Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T22:32:32.338346Z digest=sha256:fef37c063b24499ee6b1b3ee2169a9a18b9ab036498050ea526e24477671526a

Observation aa235487-63b2-43a4-ae93-ecce87215173 · outbound

This paper cites MS-Diffusion: Multi-subject Zero-shot Image Personalization with Layout Guidance.

BridgeIV: Bridging Customized Image and Video Generation through Test-Time Autoregressive Identity Propagation MS-Diffusion: Multi-subject Zero-shot Image Personalization with Layout Guidance

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-15T22:32:32.342607Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:32:32.342607Z digest=sha256:dc8d5e53d789cdc26ca8ecaf731bd881ec2f8fe1b7a4d3e51e378367740c1b54

Observation ee030ea2-cba1-4e37-87a3-3243445315fe · outbound

This paper cites Lavie: High-quality video generation with cascaded latent diffusion models.

BridgeIV: Bridging Customized Image and Video Generation through Test-Time Autoregressive Identity Propagation Lavie: High-quality video generation with cascaded latent diffusion models

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:32:32.991072Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T22:32:32.346306Z digest=sha256:cbb646a248c13ca36df1a3304f034ce944e245638d68027942e1094bbcdda7cd

Observation d7d02c94-9f1c-44de-bbc8-f21d5e2a439a · outbound

This paper cites Customvideo: Customizing text-to- video generation with multiple subjects.

BridgeIV: Bridging Customized Image and Video Generation through Test-Time Autoregressive Identity Propagation Customvideo: Customizing text-to- video generation with multiple subjects

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-15T22:32:32.350536Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:32:32.350536Z digest=sha256:5afbac2af88566b4a8bc95996dcef847bf4bef8da812f099e828e9ba55fc2e25

Observation d8045e98-08a1-4ef7-979b-f49484cbba52 · outbound

This paper cites Humanvid: Demystifying training data for camera-controllable human image animation.

BridgeIV: Bridging Customized Image and Video Generation through Test-Time Autoregressive Identity Propagation Humanvid: Demystifying training data for camera-controllable human image animation

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:32:32.978817Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T22:32:32.354107Z digest=sha256:d9464f8e6a5cbf1178a1b3bb8e4a9e9ddd52103a46c85a306c0029c13181f1c4

Observation 93927882-c175-4b0c-8e13-5aa5afa46117 · outbound

This paper cites Dreamvideo: Composing your dream videos with customized subject and motion.

BridgeIV: Bridging Customized Image and Video Generation through Test-Time Autoregressive Identity Propagation Dreamvideo: Composing your dream videos with customized subject and motion

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:32:32.966817Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T22:32:32.358036Z digest=sha256:c9c0defa9448f19ef6ea8d9783a787294caa2c42c79f74b458860fafe462545d

Observation b9edad3c-f457-48c1-86c1-be448f19e015 · outbound

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

BridgeIV: Bridging Customized Image and Video Generation through Test-Time Autoregressive Identity Propagation CustomCrafter: Customized Video Generation with Preserving Motion and Concept Composition Abilities

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-15T22:32:32.362122Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:32:32.362122Z digest=sha256:e1f76a892be771c773ba6acbb85ff919484e60dcf4cee3edd023e56ef376d557

Observation 8ce4b922-e3d9-4d2f-9906-9377f4cc14bb · outbound

This paper cites Fastcomposer: Tuning-free multi- subject image generation with localized attention.

BridgeIV: Bridging Customized Image and Video Generation through Test-Time Autoregressive Identity Propagation Fastcomposer: Tuning-free multi- subject image generation with localized attention

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:32:32.954658Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T22:32:32.365812Z digest=sha256:f0544833a64b793ca675971b00d618dda65342023d100e0b2fd1b2dbb77316bc

Observation c69a0087-dbbb-4dab-87e3-8ba9d56dbb5e · outbound

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

BridgeIV: Bridging Customized Image and Video Generation through Test-Time Autoregressive Identity Propagation Dynamicrafter: Animating open-domain images with video diffusion priors

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:32:32.942087Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T22:32:32.369430Z digest=sha256:2e5a9331d2f8971972944c0d0d92de3283b48286b07c73461c97914b1aa38cb8

Observation d3bb6388-15b8-458d-b95f-4db529907712 · outbound

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

BridgeIV: Bridging Customized Image and Video Generation through Test-Time Autoregressive Identity Propagation CogVideoX: Text-to-Video Diffusion Models with An Expert Transformer

Reference 49

Resolution
unresolved
no resolver link, observed 2026-08-15T22:32:32.372959Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:32:32.372959Z digest=sha256:ff4c38d401895aa33394b603c82a6f0bbda987892bade355079fad34ac177b29

Observation fe92c7c9-4d02-4ac3-83e5-581befa4ccdf · outbound

This paper cites DINO: DETR with Improved DeNoising Anchor Boxes for End-to-End Object Detection.

BridgeIV: Bridging Customized Image and Video Generation through Test-Time Autoregressive Identity Propagation DINO: DETR with Improved DeNoising Anchor Boxes for End-to-End Object Detection

Reference 50

Resolution
unresolved
no resolver link, observed 2026-08-15T22:32:32.376317Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:32:32.376317Z digest=sha256:37bf745f65e15d9ad6b1b37cc3c9aed887b08d210f8e4f8ee245e7e839b2b52e

Observation 73faa472-acc3-4d94-b055-6f2de5618147 · outbound

This paper cites A tale of two features: Stable diffusion complements dino for zero-shot semantic correspondence.

BridgeIV: Bridging Customized Image and Video Generation through Test-Time Autoregressive Identity Propagation A tale of two features: Stable diffusion complements dino for zero-shot semantic correspondence

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:32:32.929203Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T22:32:32.380189Z digest=sha256:b357f5b2d4d6fa64e9cb55d3af83341ef241d366202cca48edb0f284a85c2a8c

Observation 304e5fe9-8b09-485f-a46e-17606cf35a54 · outbound

This paper cites Ssr-encoder: Encoding selective subject representation for subject-driven generation.

BridgeIV: Bridging Customized Image and Video Generation through Test-Time Autoregressive Identity Propagation Ssr-encoder: Encoding selective subject representation for subject-driven generation

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:32:32.912662Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T22:32:32.383756Z digest=sha256:eba181878f9ccc471f1c409968fa3cb0796046f4d821fce02559d673da4cb5be

Observation 14db1d33-e577-475e-a926-7c2c0ea3f916 · outbound

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

BridgeIV: Bridging Customized Image and Video Generation through Test-Time Autoregressive Identity Propagation Tora: Trajectory-oriented Diffusion Transformer for Video Generation

Reference 53

Resolution
unresolved
no resolver link, observed 2026-08-15T22:32:32.387501Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:32:32.387501Z digest=sha256:a36ff6557588e6b4b05f015a2bd7726ce931ddfede5f171d3edeefc2188dda1b

Observation d4078b77-9906-459f-87f4-375807966b91 · outbound

This paper cites CamI2V: Camera-Controlled Image-to-Video Diffusion Model.

BridgeIV: Bridging Customized Image and Video Generation through Test-Time Autoregressive Identity Propagation CamI2V: Camera-Controlled Image-to-Video Diffusion Model

Reference 54

Resolution
unresolved
no resolver link, observed 2026-08-15T22:32:32.391446Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:32:32.391446Z digest=sha256:586b26170a076289e57bc118fe29bda73f3f33746c971b7ad8eee2697d289a46

Observation e6169d5d-2318-4beb-9d85-dafbd81447fc · outbound

This paper cites Vlogger: Make your dream a vlog.

BridgeIV: Bridging Customized Image and Video Generation through Test-Time Autoregressive Identity Propagation Vlogger: Make your dream a vlog

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:32:32.898545Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T22:32:32.396118Z digest=sha256:0b06158551c644f36732b6666d3adbb5741f06a23d0f69a56cef33df687c766f

Pith citing papers

No inbound Pith citation observations are available.