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Paper Citation Record · LEDGER

RelationAdapter: Learning and Transferring Visual Relation with Diffusion Transformers

As of 10 August 2026, this Paper Citation Record lists 69 of 69 outbound references and 8 inbound Pith citation observations for arXiv:2506.02528.

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

pith.paper-citation-record.v1
2506.02528 v1

Coverage vector

measured 69 of 69 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T11:26:31.248399Z

measured 77 of 77 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T16:37:25.787185Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T21:00:08.960735Z

Reference resolution

69 of 69 outbound references displayed

  • verified exact1
  • verified fuzzy22
  • unresolved45
  • parse uncertain1
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation a310153a-8271-4e45-81c3-95c41f1e41c0 · outbound

This paper cites Flux: Official inference repository for flux.1 models.

RelationAdapter: Learning and Transferring Visual Relation with Diffusion Transformers Flux: Official inference repository for flux.1 models

Reference 1

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raw_fallback, observed 2026-08-07T11:26:36.319170Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T11:26:25.503759Z digest=sha256:ff6bb53581f316f9344021869a25c8ac90dca1bcc6d170aa08bdd0a4e8d4f49a

Observation 70770c67-1c34-4fc1-9507-b4d288d6fb0d · outbound

This paper cites Flux.1-dev: A 12b parameter rectified flow transformer for text-to-image generation.

RelationAdapter: Learning and Transferring Visual Relation with Diffusion Transformers Flux.1-dev: A 12b parameter rectified flow transformer for text-to-image generation

Reference 2

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T11:26:25.577765Z digest=sha256:5969f0923c6fe19ed70cc5f84248a423841fd65c9c6cf383d0ce1a80fd7186eb

Observation 8ccc135a-053c-4dc6-ac9d-041e39f79a66 · outbound

This paper cites Flux.1 redux-dev.

RelationAdapter: Learning and Transferring Visual Relation with Diffusion Transformers Flux.1 redux-dev

Reference 3

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T11:26:25.642200Z digest=sha256:601778dfdae1f5d24674afd5769c982d79e455fc1d94d520091eb7860c3fd9d9

Observation 76754b25-7c54-455f-b5da-624931d8228b · outbound

This paper cites Instructpix2pix: Learning to follow image editing instructions.

RelationAdapter: Learning and Transferring Visual Relation with Diffusion Transformers Instructpix2pix: Learning to follow image editing instructions

Reference 4

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source=pdf_text observed=2026-08-07T11:26:25.718579Z digest=sha256:2b337d4b0dc23ef063053f2c126704e1ba1c48abcd9662ef55318a5af2dd1783

Observation 260b2e52-8a14-449e-83dc-e00838354ce2 · outbound

This paper cites Masactrl: Tuning-free mutual self-attention control for consistent image synthesis and editing.

RelationAdapter: Learning and Transferring Visual Relation with Diffusion Transformers Masactrl: Tuning-free mutual self-attention control for consistent image synthesis and editing

Reference 5

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source=pdf_text observed=2026-08-07T11:26:25.794555Z digest=sha256:89c1bd0266773771790e8a3ff9a51bba87fe44717b2ec4f9442d1988c2bd35b0

Observation bf585d37-4e1a-45a5-9dfb-c19b35ed685c · outbound

This paper cites Edit Transfer: Learning Image Editing via Vision In-Context Relations.

RelationAdapter: Learning and Transferring Visual Relation with Diffusion Transformers Edit Transfer: Learning Image Editing via Vision In-Context Relations

Reference 6

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source=pdf_text observed=2026-08-07T11:26:25.872473Z digest=sha256:145c8cb40b869f01611ca0bae6e5f1b5e18fa3505fb6f942e7fb1501271a395f

Observation caf7f31f-6af9-4073-9bf9-293f0fa33b41 · outbound

This paper cites Ringid: Rethinking tree-ring watermarking for enhanced multi-key identification.

RelationAdapter: Learning and Transferring Visual Relation with Diffusion Transformers Ringid: Rethinking tree-ring watermarking for enhanced multi-key identification

Reference 7

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raw_fallback, observed 2026-08-07T11:26:35.735335Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T11:26:25.954693Z digest=sha256:a45716fea0e4e100a560623db43bdc865ea1e1d58486ca7f4ec7193e8205192a

Observation 27442a58-4f25-4067-bab7-a4c340f16deb · outbound

This paper cites Video demoireing with relation-based temporal consistency.

RelationAdapter: Learning and Transferring Visual Relation with Diffusion Transformers Video demoireing with relation-based temporal consistency

Reference 8

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T11:26:25.994644Z digest=sha256:c2834bc214f7c8fc595f9d4d1fe2d516995b2cca7b124ac6698bb9e8470e239b

Observation 9e73cc68-f07c-40a1-97ad-8e0dc4a05fee · outbound

This paper cites The cube++ illumination estimation dataset.

RelationAdapter: Learning and Transferring Visual Relation with Diffusion Transformers The cube++ illumination estimation dataset

Reference 9

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T11:26:26.064372Z digest=sha256:910bed09adbfd8c37fbecfe23eecdfa12b173fcfaa506abf49183b59e9834226

Observation 05c80204-00ab-4742-b650-3213580a0e36 · outbound

This paper cites Geometric representation learning for document image rectification.

RelationAdapter: Learning and Transferring Visual Relation with Diffusion Transformers Geometric representation learning for document image rectification

Reference 10

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T11:26:26.145803Z digest=sha256:c4fc477e1214e85a9b32edc26eb34f1345cf4b7b7c650726fdfe116e7f801505

Observation f83ab52a-7c07-407e-99d8-eb6038014a9e · outbound

This paper cites Concept sliders: Lora adaptors for precise control in diffusion models.

RelationAdapter: Learning and Transferring Visual Relation with Diffusion Transformers Concept sliders: Lora adaptors for precise control in diffusion models

Reference 11

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raw_fallback, observed 2026-08-07T11:26:35.071299Z

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source=pdf_text observed=2026-08-07T11:26:26.195129Z digest=sha256:678334cc4c874e76dc241abdf5a7bd3d9f5e509def919edf581e94d00a9c0165

Observation 2faeb9cd-0ad5-427e-b92d-b4db75a6e7e6 · outbound

This paper cites Any2AnyTryon: Leveraging Adaptive Position Embeddings for Versatile Virtual Clothing Tasks.

RelationAdapter: Learning and Transferring Visual Relation with Diffusion Transformers Any2AnyTryon: Leveraging Adaptive Position Embeddings for Versatile Virtual Clothing Tasks

Reference 12

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source=pdf_text observed=2026-08-07T11:26:26.252338Z digest=sha256:398a96db2ae54cf674c70f87ec2de2ff81d852743f9accd40b950db7b1636d78

Observation 2ff2661a-d827-4ef5-8a63-e36e26b3da65 · outbound

This paper cites From sky to the ground: A large-scale benchmark and simple baseline towards real rain removal.

RelationAdapter: Learning and Transferring Visual Relation with Diffusion Transformers From sky to the ground: A large-scale benchmark and simple baseline towards real rain removal

Reference 13

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raw_fallback, observed 2026-08-07T11:26:34.920211Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T11:26:26.362249Z digest=sha256:6b109250cf91193f0bf02caebd113489e7e0e9860282e5f06cf27e6e6c3a9014

Observation f004abc8-9d7f-463a-9018-a182b8338906 · outbound

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

RelationAdapter: Learning and Transferring Visual Relation with Diffusion Transformers Prompt-to-Prompt Image Editing with Cross Attention Control

Reference 14

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source=pdf_text observed=2026-08-07T11:26:26.421202Z digest=sha256:f0c74789eba876de42e51bbb5b2eba074a7089446caae1f60bb8d3daa718163f

Observation 65ae66d5-36b0-4221-8dfe-4fd6cd453bca · outbound

This paper cites Denoising diffusion probabilistic models.

RelationAdapter: Learning and Transferring Visual Relation with Diffusion Transformers Denoising diffusion probabilistic models

Reference 15

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source=pdf_text observed=2026-08-07T11:26:26.507655Z digest=sha256:1888a16fe8b3b93c87ef13726f2885004cd81a3e90457ac62abc1b0db8560b5b

Observation ccbc7202-c46f-434e-bdfe-292c1b95dcd7 · outbound

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

RelationAdapter: Learning and Transferring Visual Relation with Diffusion Transformers Lora: Low-rank adaptation of large language models

Reference 16

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source=pdf_text observed=2026-08-07T11:26:26.581575Z digest=sha256:a3d2d6ca78ac3ae3ab0f875d55a50c7b0af9c035c53f355e946759dbd737d9c8

Observation 99ec8a21-4ba5-4c4e-897f-6707b727168a · outbound

This paper cites PhotoDoodle: Learning Artistic Image Editing from Few-Shot Pairwise Data.

RelationAdapter: Learning and Transferring Visual Relation with Diffusion Transformers PhotoDoodle: Learning Artistic Image Editing from Few-Shot Pairwise Data

Reference 17

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source=pdf_text observed=2026-08-07T11:26:26.633060Z digest=sha256:876a367a9a2374d0248aa8452446e0e1d50db754235e5a4bf79fe3af8447a654

Observation 8ef90e08-1b43-4de2-a3f1-96bf782f95be · outbound

This paper cites Humansd: A na- tive skeleton-guided diffusion model for human image generation.

RelationAdapter: Learning and Transferring Visual Relation with Diffusion Transformers Humansd: A na- tive skeleton-guided diffusion model for human image generation

Reference 18

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verified fuzzy
raw_fallback, observed 2026-08-07T11:26:34.789002Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T11:26:26.707032Z digest=sha256:046ab203c27652f599c8d087392f83eb22db038a387e627aded309214d656356

Observation 6fc98b77-8af1-4bc2-97a1-d959ff2c51b2 · outbound

This paper cites Imagic: Text-based real image editing with diffusion models.

RelationAdapter: Learning and Transferring Visual Relation with Diffusion Transformers Imagic: Text-based real image editing with diffusion models

Reference 19

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raw_fallback, observed 2026-08-07T11:26:34.594054Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T11:26:26.906508Z digest=sha256:2ac90b08deef10c5674572a1fd17a9448076bd634601ac0b652befc5ee215ef0

Observation 4354f44e-61dd-4907-8bc1-7064a3426859 · outbound

This paper cites Auto-encoding variational bayes, 2013.

RelationAdapter: Learning and Transferring Visual Relation with Diffusion Transformers Auto-encoding variational bayes, 2013

Reference 20

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source=pdf_text observed=2026-08-07T11:26:27.005581Z digest=sha256:129c1bfea7392a6c37f73c71e9f54970651b63724e75fa307d1382b5bf613ddf

Observation f2046233-0781-4d76-97e6-befd9a906b7b · outbound

This paper cites Gligen: Open-set grounded text-to-image generation.

RelationAdapter: Learning and Transferring Visual Relation with Diffusion Transformers Gligen: Open-set grounded text-to-image generation

Reference 21

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source=pdf_text observed=2026-08-07T11:26:27.119746Z digest=sha256:8ffbd51b87b8a5ef77fe8873f03d25f1b66fd31a14228d5e7eb948ad42b67c2f

Observation 82c30e4b-73fa-4c4c-b69c-2b873b5822fb · outbound

This paper cites Visualcloze: A universal image generation framework via visual in-context learning.arXiv preprint arXiv:2504.07960, 2025.

RelationAdapter: Learning and Transferring Visual Relation with Diffusion Transformers Visualcloze: A universal image generation framework via visual in-context learning.arXiv preprint arXiv:2504.07960, 2025

Reference 22

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source=pdf_text observed=2026-08-07T11:26:27.232631Z digest=sha256:9839fea34d48778aa326916a761e6f3c335aae895e164c4ef06a8f2315bbf47a

Observation 2ad5b333-8a37-432c-b1c7-dc603c95e5fc · outbound

This paper cites Exploring the limits of weakly supervised pretraining.

RelationAdapter: Learning and Transferring Visual Relation with Diffusion Transformers Exploring the limits of weakly supervised pretraining

Reference 23

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source=pdf_text observed=2026-08-07T11:26:27.367235Z digest=sha256:f5f9cceb9561778e7f96b283d5b3fbc926fca2871e846a288ca5125ef02db2f3

Observation ec590b87-3435-4d1c-bbcb-bb69992a6727 · outbound

This paper cites SDEdit: Guided Image Synthesis and Editing with Stochastic Differential Equations.

RelationAdapter: Learning and Transferring Visual Relation with Diffusion Transformers SDEdit: Guided Image Synthesis and Editing with Stochastic Differential Equations

Reference 24

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source=pdf_text observed=2026-08-07T11:26:27.535923Z digest=sha256:3bb2639c41fc9e0c898dfcbaba3dc8d3b11bec5d3ec4d0e3b4c0ba41a2cea2bc

Observation e83759ad-13a5-47b0-9d42-fed66b85d8b0 · outbound

This paper cites T2i- adapter: Learning adapters to dig out more controllable ability for text-to-image diffusion models.

RelationAdapter: Learning and Transferring Visual Relation with Diffusion Transformers T2i- adapter: Learning adapters to dig out more controllable ability for text-to-image diffusion models

Reference 25

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source=pdf_text observed=2026-08-07T11:26:27.668185Z digest=sha256:1d5f48af25dc03ed81c7e163b76853ffce8a889e625f637f8c7e5bb985a95def

Observation 517b936b-c81c-4d9f-ac5b-5bff74d94d97 · outbound

This paper cites Deep multi-scale convolutional neural network for dynamic scene deblurring.

RelationAdapter: Learning and Transferring Visual Relation with Diffusion Transformers Deep multi-scale convolutional neural network for dynamic scene deblurring

Reference 26

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T11:26:27.836599Z digest=sha256:9467dce18190065146265dc61f05ef4a8d8369a3c026b148f1a18094c8462286

Observation 69367777-eb1f-45ee-8472-bfd5d56b5c4e · outbound

This paper cites Gpt-4o technical report.

RelationAdapter: Learning and Transferring Visual Relation with Diffusion Transformers Gpt-4o technical report

Reference 27

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T11:26:27.966603Z digest=sha256:84cb28703e2b01e0175afdc29b57d207be3135db36d6cdf5bfbcd76009760b3a

Observation 70218a74-fba3-4563-817a-34557ad3eb31 · outbound

This paper cites Multi-modal Attention for Speech Emotion Recognition.

RelationAdapter: Learning and Transferring Visual Relation with Diffusion Transformers Multi-modal Attention for Speech Emotion Recognition

Reference 28

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source=pdf_text observed=2026-08-07T11:26:28.052890Z digest=sha256:1dd61e039140cff0c2fd7f9c9c2670347107ecc3c3d05fb9e3a7b36644e21f65

Observation 4cff08b8-a17a-4ab1-bf9a-b2c4b6df10c2 · outbound

This paper cites Scalable diffusion models with transformers.

RelationAdapter: Learning and Transferring Visual Relation with Diffusion Transformers Scalable diffusion models with transformers

Reference 29

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source=pdf_text observed=2026-08-07T11:26:28.104561Z digest=sha256:059b6e2eaa06284ccf1abed199c552d67151d41d6473661f2e535e57cdb1d2e7

Observation d4056f61-c66a-49b6-bf12-618a7ef6e978 · outbound

This paper cites Ntire 2021 challenge on high dynamic range imaging: Dataset, methods and results.

RelationAdapter: Learning and Transferring Visual Relation with Diffusion Transformers Ntire 2021 challenge on high dynamic range imaging: Dataset, methods and results

Reference 30

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raw_fallback, observed 2026-08-07T11:26:34.110740Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T11:26:28.153472Z digest=sha256:d3b8e8ab741d514c5be44be4f495b199a101e92e6823da81f4d3e4a52a7da59f

Observation af979b9c-851e-42fe-b7a4-b1dda2ed31f2 · outbound

This paper cites Dense extreme inception network: Towards a robust cnn model for edge detection.

RelationAdapter: Learning and Transferring Visual Relation with Diffusion Transformers Dense extreme inception network: Towards a robust cnn model for edge detection

Reference 31

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raw_fallback, observed 2026-08-07T11:26:33.952402Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T11:26:28.204667Z digest=sha256:e9f58c361b8a15371c0a9e941e9887e2b6447daf486790011068ecd79726d4a9

Observation 19c9f941-4ebc-42a4-8474-5b4b79288d75 · outbound

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

RelationAdapter: Learning and Transferring Visual Relation with Diffusion Transformers Learning transferable visual models from natural language supervision

Reference 32

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source=pdf_text observed=2026-08-07T11:26:28.269032Z digest=sha256:1c548ac14bda2f3f9e86e2a9f9da5118f1d42f49bdb9aafa9f9133d790f4110f

Observation a3f481d8-6aea-40f0-bb8f-99b19c44ae5c · outbound

This paper cites Learning Transferable Visual Models From Natural Language Supervision.

RelationAdapter: Learning and Transferring Visual Relation with Diffusion Transformers Learning Transferable Visual Models From Natural Language Supervision

Reference 33

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source=pdf_text observed=2026-08-07T11:26:28.324295Z digest=sha256:32001027fe68346c09b328124f25dd186b8f4be5d036c34e3f4dec92d0f3d04d

Observation ea39b648-23ff-4acc-a5ad-5232cff0c637 · outbound

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

RelationAdapter: Learning and Transferring Visual Relation with Diffusion Transformers High-resolution image synthesis with latent diffusion models

Reference 34

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:26:28.386907Z digest=sha256:6a9ce52edf6156ca484b0d2bfd67b4bf6fb95a95e05871184cf9cb0709802118

Observation 733308b4-23e1-4538-8767-f079716599d4 · outbound

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

RelationAdapter: Learning and Transferring Visual Relation with Diffusion Transformers Dream- booth: Fine tuning text-to-image diffusion models for subject-driven generation

Reference 35

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source=pdf_text observed=2026-08-07T11:26:28.422715Z digest=sha256:d7b9f448276bdf109a605577ecb709f58724e65763ab4302416a7af44eb96080

Observation 4d8f41e9-81d6-4a4c-a2f0-87919bb3a0d8 · outbound

This paper cites Schönberger, Silvano Galliani, Torsten Sattler, Konrad Schindler, Marc Pollefeys, and Andreas Geiger.

RelationAdapter: Learning and Transferring Visual Relation with Diffusion Transformers Schönberger, Silvano Galliani, Torsten Sattler, Konrad Schindler, Marc Pollefeys, and Andreas Geiger

Reference 36

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verified fuzzy
raw_fallback, observed 2026-08-07T11:26:33.752496Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T11:26:28.458054Z digest=sha256:7d371faa50dd6656793e5b55fc617a691b57fed5bcbd127ccb148716d6a1f520

Observation 72fc49d9-d2d2-4f95-a5db-5b4a877d0a54 · outbound

This paper cites FonTS: Text Rendering with Typography and Style Controls.

RelationAdapter: Learning and Transferring Visual Relation with Diffusion Transformers FonTS: Text Rendering with Typography and Style Controls

Reference 37

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no resolver link, observed 2026-08-07T11:26:28.536012Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:26:28.536012Z digest=sha256:ed222cdb75536047decf6e94d9d25891ce4cdff3b26356e111d4e99c38e79be1

Observation c05e11b5-fc5f-4a57-8e49-006855fd60a3 · outbound

This paper cites Insert Anything: Image Insertion via In-Context Editing in DiT.

RelationAdapter: Learning and Transferring Visual Relation with Diffusion Transformers Insert Anything: Image Insertion via In-Context Editing in DiT

Reference 38

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no resolver link, observed 2026-08-07T11:26:28.644520Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:26:28.644520Z digest=sha256:0c861e9ecaf1f7bcea41b8548728d9badb99e34985c3cc4941a59890528e3f79

Observation 8d076f13-d7f5-4d56-8eba-0d4e75ff391c · outbound

This paper cites LayerTracer: Cognitive-Aligned Layered SVG Synthesis via Diffusion Transformer.

RelationAdapter: Learning and Transferring Visual Relation with Diffusion Transformers LayerTracer: Cognitive-Aligned Layered SVG Synthesis via Diffusion Transformer

Reference 39

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no resolver link, observed 2026-08-07T11:26:28.703173Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:26:28.703173Z digest=sha256:4fb029bcc598fd100ba535488d8eefb271fbf9c3544bee6c33087b9abd01f943

Observation 396b6781-cf80-4d0e-8524-a94f31c93592 · outbound

This paper cites ProcessPainter: Learn Painting Process from Sequence Data.

RelationAdapter: Learning and Transferring Visual Relation with Diffusion Transformers ProcessPainter: Learn Painting Process from Sequence Data

Reference 40

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no resolver link, observed 2026-08-07T11:26:28.863975Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:26:28.863975Z digest=sha256:0b742e211a24dc79f2e54020cc7ecb3c7aecb1f6b67fafa34e3f8072a333a3a2

Observation b82dea6b-4752-40b1-9b8d-7f4016464b36 · outbound

This paper cites MakeAnything: Harnessing Diffusion Transformers for Multi-Domain Procedural Sequence Generation.

RelationAdapter: Learning and Transferring Visual Relation with Diffusion Transformers MakeAnything: Harnessing Diffusion Transformers for Multi-Domain Procedural Sequence Generation

Reference 41

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no resolver link, observed 2026-08-07T11:26:28.950281Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:26:28.950281Z digest=sha256:13d3a84606ce094aedeca163e0dd7e5c76fe3239df7effa0a5c322b85576d3e8

Observation d8fdb208-d409-4c04-a7fe-831841288831 · outbound

This paper cites OmniConsistency: Learning Style-Agnostic Consistency from Paired Stylization Data.

RelationAdapter: Learning and Transferring Visual Relation with Diffusion Transformers OmniConsistency: Learning Style-Agnostic Consistency from Paired Stylization Data

Reference 42

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no resolver link, observed 2026-08-07T11:26:29.016351Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:26:29.016351Z digest=sha256:54791371e32c8835dea425ce2b543b775e1ccfafae1ae72faa66a7eba1953938

Observation 0491bdea-bb66-4468-9b18-6f31450b14ae · outbound

This paper cites DiffSim: Taming Diffusion Models for Evaluating Visual Similarity.

RelationAdapter: Learning and Transferring Visual Relation with Diffusion Transformers DiffSim: Taming Diffusion Models for Evaluating Visual Similarity

Reference 43

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no resolver link, observed 2026-08-07T11:26:29.117065Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:26:29.117065Z digest=sha256:2841f13924fab9f5a634f6a0ea4802d1ec3ed7a56c182c2d45721f643987f669

Observation b2911789-b041-4db1-b350-a10d158acfb4 · outbound

This paper cites Anti-Reference: Universal and Immediate Defense Against Reference-Based Generation.

RelationAdapter: Learning and Transferring Visual Relation with Diffusion Transformers Anti-Reference: Universal and Immediate Defense Against Reference-Based Generation

Reference 44

Resolution
verified exact
local_arxiv, observed 2026-08-07T11:26:31.465314Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T11:26:29.199820Z digest=sha256:7c50633ce7c38d6487e54beaefe2a1840af4dfe3755c5b064cc4351d41d7b16a

Observation 85d087eb-912c-4aaa-bab6-ea23d41dafd7 · outbound

This paper cites Grid: Omni Visual Generation.

RelationAdapter: Learning and Transferring Visual Relation with Diffusion Transformers Grid: Omni Visual Generation

Reference 45

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no resolver link, observed 2026-08-07T11:26:29.276612Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:26:29.276612Z digest=sha256:dfaa05372e051ad8416f1c81d5db07f85e45298badb270e465475099c71c01de

Observation c67fcc53-b8c4-4372-be6e-b6eab7cfc90a · outbound

This paper cites Images speak in images: A generalist painter for in-context visual learning.

RelationAdapter: Learning and Transferring Visual Relation with Diffusion Transformers Images speak in images: A generalist painter for in-context visual learning

Reference 46

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no resolver link, observed 2026-08-07T11:26:29.340378Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:26:29.340378Z digest=sha256:f0957aa667a865f40d1932522c65c0f120e43e0be2c117c2f711b4f5ff8ddd4d

Observation 8f833c93-77b7-4c7d-b8fc-fa9783aad9d1 · outbound

This paper cites Image quality assessment: From error visibility to structural similarity.

RelationAdapter: Learning and Transferring Visual Relation with Diffusion Transformers Image quality assessment: From error visibility to structural similarity

Reference 47

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no resolver link, observed 2026-08-07T11:26:29.430480Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:26:29.430480Z digest=sha256:a0943a3b6bdf6d3510e9b89dd9cadeac7662d538e8c975a5c81c473dabc7744d

Observation f9b2ed42-302f-42aa-8570-66ae28118dd6 · outbound

This paper cites Investigating Prompt Engineering in Diffusion Models.

RelationAdapter: Learning and Transferring Visual Relation with Diffusion Transformers Investigating Prompt Engineering in Diffusion Models

Reference 48

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unresolved
no resolver link, observed 2026-08-07T11:26:29.533343Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:26:29.533343Z digest=sha256:eb69f363559a9ab65fa697432ed48c04d482e90e0cfae8ccc5b441121eb348fc

Observation 0e9691e3-14c4-4f3a-8e0c-4c6a1d2511e8 · outbound

This paper cites Versatile diffusion: Text, images and variations all in one diffusion model.

RelationAdapter: Learning and Transferring Visual Relation with Diffusion Transformers Versatile diffusion: Text, images and variations all in one diffusion model

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:26:33.605922Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T11:26:29.609234Z digest=sha256:54e661211eb1191da9c0f8ceb9b337cec29dba707d71cc9c3e5661327df36a2a

Observation a7343dc2-e163-41f8-84ac-fc189454df0f · outbound

This paper cites Paint by example: Exemplar-based image editing with diffusion models.

RelationAdapter: Learning and Transferring Visual Relation with Diffusion Transformers Paint by example: Exemplar-based image editing with diffusion models

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:26:33.500647Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T11:26:29.683224Z digest=sha256:db9a04581d1052e6d0bc2ae7287e07f4d0429bd35290b1cad969abfbbcb5f582

Observation 3b428b54-53b2-4efc-b393-feb13063f2a1 · outbound

This paper cites Imagebrush: Learning visual in-context instructions for exemplar-based image manipulation.

RelationAdapter: Learning and Transferring Visual Relation with Diffusion Transformers Imagebrush: Learning visual in-context instructions for exemplar-based image manipulation

Reference 51

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no resolver link, observed 2026-08-07T11:26:29.755611Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:26:29.755611Z digest=sha256:7868c7d16dc1b677da3bf0008b17cc76bab3bc34e9ba7ff4b956395f89956e54

Observation a72d8917-89bf-4795-8151-485b40f49652 · outbound

This paper cites Sigmoid loss for language image pre-training.

RelationAdapter: Learning and Transferring Visual Relation with Diffusion Transformers Sigmoid loss for language image pre-training

Reference 52

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no resolver link, observed 2026-08-07T11:26:29.860968Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:26:29.860968Z digest=sha256:61fe41366cf4b40fe4312a86ed21f045d075dae5b50eb1b125faed0343cd2685

Observation 6c2a7556-8077-45c8-b231-038b6f1f95bf · outbound

This paper cites Finestyle: Fine-grained controllable style personalization for text-to-image models.

RelationAdapter: Learning and Transferring Visual Relation with Diffusion Transformers Finestyle: Fine-grained controllable style personalization for text-to-image models

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:26:33.315640Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T11:26:29.965747Z digest=sha256:61346b00553b1b3554af49b024a7411e4ef912902dd900bf0d4b19ca5d30daf0

Observation ff729933-4eba-43f6-8f28-56e7b34638f2 · outbound

This paper cites Transparent Image Layer Diffusion using Latent Transparency.

RelationAdapter: Learning and Transferring Visual Relation with Diffusion Transformers Transparent Image Layer Diffusion using Latent Transparency

Reference 54

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no resolver link, observed 2026-08-07T11:26:30.063204Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:26:30.063204Z digest=sha256:cf5714105f451ad7f1684873852ccf267f496d6e2cbd2a207cbe41c61ce2d3de

Observation 98351591-9fb3-4625-a754-018c2da1c0ae · outbound

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

RelationAdapter: Learning and Transferring Visual Relation with Diffusion Transformers Adding conditional control to text-to-image diffusion models

Reference 55

Resolution
unresolved
no resolver link, observed 2026-08-07T11:26:30.122524Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:26:30.122524Z digest=sha256:b8e95ccb4e526c1076a46d134e9b7c7262c821a1c58c8c496b24d8551482176b

Observation f6cb4c78-a4d6-435c-a1ac-ff93d2362a84 · outbound

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

RelationAdapter: Learning and Transferring Visual Relation with Diffusion Transformers Ssr-encoder: Encoding selective subject representation for subject-driven generation

Reference 56

Resolution
unresolved
no resolver link, observed 2026-08-07T11:26:30.217419Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:26:30.217419Z digest=sha256:362d0a6d6bb3394f9b1478ba9c643f171dd522b5b116ebfe43aa0d109e5b5e83

Observation b561ba52-4045-4d5c-9655-5c99254571dd · outbound

This paper cites Fast personalized text to image synthesis with attention injection.

RelationAdapter: Learning and Transferring Visual Relation with Diffusion Transformers Fast personalized text to image synthesis with attention injection

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:26:33.194879Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T11:26:30.283277Z digest=sha256:9756fbfb29a9876f5e1ac5dc09322c09acf6e1fc0cdc5dbe92b915d31e194353

Observation d9cdf82b-3356-4a27-950d-6203140bf0a7 · outbound

This paper cites Stable-Makeup: When Real-World Makeup Transfer Meets Diffusion Model.

RelationAdapter: Learning and Transferring Visual Relation with Diffusion Transformers Stable-Makeup: When Real-World Makeup Transfer Meets Diffusion Model

Reference 58

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unresolved
no resolver link, observed 2026-08-07T11:26:30.361206Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:26:30.361206Z digest=sha256:496ec92bd8d39ceafd2ade96bc45e4bd0e030f62d3f5b2d549e80082dc1514c1

Observation 72b2355f-0259-4a73-88f7-e4ec95a3036f · outbound

This paper cites EasyControl: Adding Efficient and Flexible Control for Diffusion Transformer.

RelationAdapter: Learning and Transferring Visual Relation with Diffusion Transformers EasyControl: Adding Efficient and Flexible Control for Diffusion Transformer

Reference 59

Resolution
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no resolver link, observed 2026-08-07T11:26:30.437018Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:26:30.437018Z digest=sha256:29fbf085ec6de915e94e2b846acf5cd828f5e8567b56622abc2a2d6d9f69bdc1

Observation 0ffebfdb-e4a7-4998-b772-81e63a107d44 · outbound

This paper cites Stable-Hair: Real-World Hair Transfer via Diffusion Model.

RelationAdapter: Learning and Transferring Visual Relation with Diffusion Transformers Stable-Hair: Real-World Hair Transfer via Diffusion Model

Reference 60

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no resolver link, observed 2026-08-07T11:26:30.537511Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:26:30.537511Z digest=sha256:f3df26f0a9487635e7b91c78ad8a8d4776f35a359fa658bec56d5d7408ec3e0c

Observation 89787206-df16-40ae-a48d-3588a67b81ed · outbound

This paper cites Lumina-Next: Making Lumina-T2X Stronger and Faster with Next-DiT.

RelationAdapter: Learning and Transferring Visual Relation with Diffusion Transformers Lumina-Next: Making Lumina-T2X Stronger and Faster with Next-DiT

Reference 61

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unresolved
no resolver link, observed 2026-08-07T11:26:30.614880Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:26:30.614880Z digest=sha256:23430dd7a6b42ea0419c078073e934a854a5be6a2262037ff6831ba59df4f2d4

Observation 1378a512-0f64-4e03-9e00-1d1e3b8b7e29 · outbound

This paper cites an unresolved cited work.

RelationAdapter: Learning and Transferring Visual Relation with Diffusion Transformers Unresolved cited work

Reference 62

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unresolved
raw_fallback, observed 2026-08-07T11:26:33.017482Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T11:26:30.696048Z digest=sha256:80713ccb33a82ab5fd4e9f3a2ecbb9fb4f09d3660a2f68336c7360c4df088dcf

Observation c790220d-72c5-498c-aac0-d718ad0880d5 · outbound

This paper cites an unresolved cited work.

RelationAdapter: Learning and Transferring Visual Relation with Diffusion Transformers Unresolved cited work

Reference 63

Resolution
unresolved
raw_fallback, observed 2026-08-07T11:26:32.858751Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T11:26:30.778149Z digest=sha256:8fe9c21b40c5985d50d0c46401a1a1a92781f5efbb134815f1e7d28fbf937597

Observation 156ca6d3-9894-4956-b049-c3da08a5d18d · outbound

This paper cites an unresolved cited work.

RelationAdapter: Learning and Transferring Visual Relation with Diffusion Transformers Unresolved cited work

Reference 64

Resolution
unresolved
raw_fallback, observed 2026-08-07T11:26:32.695543Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T11:26:30.850475Z digest=sha256:48a7a2d26d9f2cf860e95086792acb0493acf1923be5f0a764db55a30b63ce70

Observation ead06ca3-b213-4e56-8c63-d3b0dc5257c2 · outbound

This paper cites an unresolved cited work.

RelationAdapter: Learning and Transferring Visual Relation with Diffusion Transformers Unresolved cited work

Reference 65

Resolution
parse uncertain
raw_fallback, observed 2026-08-07T11:26:32.526412Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T11:26:30.923971Z digest=sha256:0f69f0579354846eecd8f28d621338174c717c3788b1889bbc3a4d32e8feb239

Observation ecd19af3-cfd5-42df-ba57-eea803bb5665 · outbound

This paper cites an unresolved cited work.

RelationAdapter: Learning and Transferring Visual Relation with Diffusion Transformers Unresolved cited work

Reference 66

Resolution
unresolved
raw_fallback, observed 2026-08-07T11:26:32.352512Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T11:26:30.997782Z digest=sha256:1ef1ba7977547dd6311ddde55730d5e7c182bd90ca8eaa6cbefe304f94fc7e48

Observation e6c401e2-cac0-4e88-ad32-3d67999d0377 · outbound

This paper cites Figure 9: Structured prompt used for labeling image pairs and extracting transformation instructions.

RelationAdapter: Learning and Transferring Visual Relation with Diffusion Transformers Figure 9: Structured prompt used for labeling image pairs and extracting transformation instructions

Reference 67

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:26:32.157655Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T11:26:31.101356Z digest=sha256:b0a2b8cfcec2720d5df0d1274ba8aa3e1c587bbecb2207b8f53e8c8090b3e7a2

Observation e5e869e3-ec43-4f0c-8dbe-574684e32465 · outbound

This paper cites an unresolved cited work.

RelationAdapter: Learning and Transferring Visual Relation with Diffusion Transformers Unresolved cited work

Reference 68

Resolution
unresolved
raw_fallback, observed 2026-08-07T11:26:32.017466Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T11:26:31.151385Z digest=sha256:8c1fc9348042357a317821f4234b8857ea546337d8db206c9fca5ffc1088b91f

Observation 9f97ab58-dc20-4b42-9160-03ff7c0fa24d · outbound

This paper cites B1": {"consistency.

RelationAdapter: Learning and Transferring Visual Relation with Diffusion Transformers B1": {"consistency

Reference 69

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:26:31.864166Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T11:26:31.248399Z digest=sha256:d1fcea3421b699d2718a6457bc1c95bee00f1a1fa9377d25b4ae32d4775df03b

Pith citing papers

Observation 83146b11-4a7c-41af-b08c-fbc15b18f7b4 · inbound

LayerTracer: Cognitive-Aligned Layered SVG Synthesis via Diffusion Transformer cites this paper.

LayerTracer: Cognitive-Aligned Layered SVG Synthesis via Diffusion Transformer RelationAdapter: Learning and Transferring Visual Relation with Diffusion Transformers

Reference 9

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unresolved
no resolver link, observed 2026-08-09T16:37:25.787185Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T16:37:25.787185Z digest=sha256:c4237c1bb3b509ed086f761a585a1e0722f7bc20e2dd9172eac287cce8161328

Observation df5cc13a-d604-40a9-9119-28f9617c8ded · inbound

WorldWander: Bridging Egocentric and Exocentric Worlds in Video Generation cites this paper.

WorldWander: Bridging Egocentric and Exocentric Worlds in Video Generation RelationAdapter: Learning and Transferring Visual Relation with Diffusion Transformers

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-03T19:54:47.490062Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T19:54:47.490062Z digest=sha256:90d697c9d2c72d0eafa20f71bf6fe4b7618f1215520ab22eff0d164ec2973c91

Observation a1449e96-b8bd-4110-94e1-2fbd95d8502b · inbound

StreamingEffect: Real-Time Human-Centric Video Effect Generation cites this paper.

StreamingEffect: Real-Time Human-Centric Video Effect Generation RelationAdapter: Learning and Transferring Visual Relation with Diffusion Transformers

Reference 16

Resolution
verified exact
arxiv_id, observed 2026-05-19T20:12:44.741376Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-19T20:11:47.359922Z digest=sha256:e6d8b2a3d4fb7148b2d7e957087348aefa5e834cd4245bc06ff3f6c3239fa19b

Observation c4940a23-4c0d-46f0-9344-4c44d7c9aed7 · inbound

VISTA: Triplet-Supervised Video Style Transfer with Diffusion Transformers cites this paper.

VISTA: Triplet-Supervised Video Style Transfer with Diffusion Transformers RelationAdapter: Learning and Transferring Visual Relation with Diffusion Transformers

Reference 9

Resolution
verified exact
arxiv_id, observed 2026-05-20T14:18:21.356872Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-20T14:14:41.662856Z digest=sha256:bd7e2d98688e44ca98b8250000f261640f39594da66625ece5e1bf0aecc3c026

Observation 017e772e-181b-478d-be57-999c9dae427d · inbound

SWEET: Sparse World Modeling with Image Editing for Embodied Task Execution cites this paper.

SWEET: Sparse World Modeling with Image Editing for Embodied Task Execution RelationAdapter: Learning and Transferring Visual Relation with Diffusion Transformers

Reference 18

Resolution
verified exact
arxiv_id, observed 2026-05-20T07:08:07.203306Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-20T07:04:24.854846Z digest=sha256:e1db146bb58ba6b1a4dbda83e7d636e9ecab605ff8bdbb253b0c7129145915d6

Observation cd800ed7-9c54-4bc0-b297-a112e4c960da · inbound

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

TryOnCrafter: Unleashing Camera Trajectories for Realistic Video Virtual Try-on via a Renderable 4D Try-on Proxy RelationAdapter: Learning and Transferring Visual Relation with Diffusion Transformers

Reference 7

Resolution
metadata mismatch
arxiv_id, observed 2026-07-04T21:00:08.962307Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-25T19:20:45.217627Z digest=sha256:63a032db3ac40bb766b665d7406249c0cf69450556da4c4a1fc87592510511d1

Observation 997ff181-f4d9-47b1-9a52-543d5e44ffd1 · inbound

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

TryOnCrafter: Unleashing Camera Trajectories for Realistic Video Virtual Try-on via a Renderable 4D Try-on Proxy RelationAdapter: Learning and Transferring Visual Relation with Diffusion Transformers

Reference 7

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T12:05:10.800662Z digest=sha256:41fd42874893a1f2f22dc7598a0eba373f53a0299d5e78366507d88918446ce7

Observation 1de58fa4-05cd-4812-b226-df6adb71cc14 · inbound

MirrorPPR: Exemplar-Based Portrait Photo Retouching cites this paper.

MirrorPPR: Exemplar-Based Portrait Photo Retouching RelationAdapter: Learning and Transferring Visual Relation with Diffusion Transformers

Reference 17

Resolution
metadata mismatch
arxiv_id, observed 2026-06-30T07:54:22.094711Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-30T07:50:25.117845Z digest=sha256:2ccdd69db95db6b8d6edb8f6b297e1e6ba4a35b0a07a08a544b60ff33249d836