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Paper Citation Record · LEDGER

RelationAdapter: Learning and Transferring Visual Relation with Diffusion Transformers

As of 8 August 2026, this Paper Citation Record lists 69 of 69 outbound references and 7 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 76 of 76 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-03T19:54:47.490062Z

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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T11:26:25.503759Z digest=sha256:739888785758e74134641b1ca4d459a3667c3d6208d076dae5cfcc2c6f977452

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T11:26:25.577765Z digest=sha256:50dd91b0e7be6eb0b539601bf41faf5105bc524e164eb661a6063d1fabceca4f

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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source=pdf_text observed=2026-08-07T11:26:25.642200Z digest=sha256:60c7483e8423650998771843d22da57fa8b3238bf0e66ef1723278f8b2187ffa

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=sha256:9a27f21804fa52f80701d97d7dddca5c23967f8355d13b9cdbd05cb6512b5ddf

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:c41ce5b9e75e114272a86ff989a91ae08123325bb61ee265de38b6e3435d058e

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=sha256:1caa68c287196004b4405992ec40c1b892e88d9817006ba10df75b490911f089

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T11:26:25.954693Z digest=sha256:b068392a4caeeac7de04509007a130e77a5b38d9846bfa86138448fabe8a3b17

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T11:26:25.994644Z digest=sha256:0f64789eed5725d303c91ff2f615ecc12ec06dd3c0cd3067999b63ed819b4acf

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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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T11:26:26.064372Z digest=sha256:0dbf6710d2bf6e1ca9d3e9bdb2fc7541492ce7025ec9e3fa989655952375ccfc

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T11:26:26.145803Z digest=sha256:6aa268462b333f019c99f7debac31fbc2f3d5c2f28636c9cd44138f4a2a8f99c

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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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T11:26:26.195129Z digest=sha256:a263769cfe33753e3f0f53dbcc50a3c8ace0f1b5a6df1d03bf36d78ae52f3eb2

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:bd1bb1ebabb5c137ddd9479c9662b063588b503a0a9f51a8bfe6486bf2e85539

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T11:26:26.362249Z digest=sha256:befe069833c1ea0de4bde76b84f2ec2116d500d91ab39d0ca43f655b0f1ef7ee

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:e6990907f96a69bc118c9b4aa4cc9304559eba89f08fbfbbb179e72ff7d8b16e

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:a3a1b20c05244a5ab42fc85acf3b895c52ea3648859c9fb49db816d9338144d6

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=sha256:9ceee27e31425e90e9695ddd35a8b20fd672076b349ae206b466a32368834b06

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:fed947902033c03e81e14d62355cd3667ad495d0a6726d1cb74568d87f763ac4

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

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T11:26:26.707032Z digest=sha256:03483e4aa499abf35ec49f3d336bd2fc0b643b0650eafafbb20b479bf73e6196

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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T11:26:26.906508Z digest=sha256:09e678714b1953e1cea708f25ad11ccd9be1b395b89cd89b5bcc10973bfd0a2c

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:bdad7f4f0c3ae98f98a8322e39f8e9a5796cc20722d93efedbfc2c912992bab0

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=sha256:8a4c40e8d110da2074f570a8023bbe7f0778a175c6f30affb45d7efcbe883ef3

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=sha256:23319d525a663185a3219f00e0b54f8f8c890f5f88eba930f018367c5f0e18e5

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=sha256:5a851b8a2c3abd37ea9a77c1646013bc5dd7b331fc63871d8124a636681fa814

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=sha256:748a168ad2d4c9ed7615ccc5ed5d51c7cef14be27a8156f94ed0615ba7941c24

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:e68809bcebe861ee1cdc321487049ce092d036a11ecae8e315f001a7fde18004

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T11:26:27.836599Z digest=sha256:c7b0af2e35bcb9dafb89e16aa1c4283f2bd30190a51806d1fe690c0db906aa9d

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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raw_fallback, observed 2026-08-07T11:26:34.221356Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T11:26:27.966603Z digest=sha256:d42eb05ae54506aa8035da7632ad94bee411c114abb4ed2d87d799d61b1a137c

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=sha256:11c30f9b170e38d8e04fa72bac9101156c337ea52b9b0e0cff39a700b503ee88

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=sha256:1b9d6aec2e87f7637ea468e6a0d4d29544b1b028a2df443fac399d0dee04f361

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T11:26:28.153472Z digest=sha256:1b574e047f1e544b8ba9667b8db81757a1203df04a655ad9ecf2d45b028fd0d7

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T11:26:28.204667Z digest=sha256:e940dc95d878a2e94457b30ce477de0c817e024c515f2392493ee326c289367d

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:e741f71036b73138ff800176d15f7172c0e5b157e0eaaf5304cbd700b5b242e8

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=sha256:336400e36770d86cba02bdd4183e1b757648565c486a8d8a7c3f16e4d07abd9d

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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source=pdf_text observed=2026-08-07T11:26:28.386907Z digest=sha256:087aa73487031c99af3e99c84f3b3e02bd4e2e94843d065a0e03136420c16f27

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=sha256:37b02aff4edc34adb70d5f64d9272416bdbcf991fbce1d1be0660538cde9821c

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T11:26:28.458054Z digest=sha256:c079e43c89ef300293657f583336d80954a97756441c62d7965a9814903b0e01

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=sha256:9472d71aae271a10aaac11c1da16347f16777c2e33f1863dfec9498c8b94b191

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:bc71e94d1b8c50b38238495290bd298e73211d1d128aa36022d88a90fcf4bfdc

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:d8246d3034cad6940f42a05327d25b98f790613fae520ffbacc9d88712dcfc10

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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unresolved
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=sha256:039aabbb2f6357b31036c178162bdfbab8925fe13a4bd17cb18a9d541271c4de

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=sha256:1e7c7e289ce3a9a9c9610498a8faf747a04fe1ca02dcfed1d16855cca4924f2f

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:ff952d026d40b38abe4778ee6063ff7c58e8e3bea59197514be2fb3a93709478

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

Resolution
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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=sha256:383905ea19671d22d6b9cbde410901589986956caebd7abdc3d34e4cd768a475

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T11:26:29.199820Z digest=sha256:9a825d9c0dd06495138f12f6b627d0234ae35215e1179d48f5f966fcbebe3dc9

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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unresolved
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=sha256:0a43ae200282d420ec0846616f54ded71bbdf20fd489e490d97f96d8a4d860f6

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:f13a922fa5ac8f57396af28f0de4eb5add5885059d2f40cc9a2b22c5b500446d

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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unresolved
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:bbc7b8ae3d10b61e171f4039ddad5a7490d41402a7e4c73f5b3ff86b84420ca0

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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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=sha256:38bbe6fb57e3b4fc220b7414d63f49d6121cfc37e945f0c199c3f3f612a5d0ad

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T11:26:29.609234Z digest=sha256:d567479b96e31a232aa4789d02ecdbea08965ba07273e81aa4ba5315d5cd1854

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T11:26:29.683224Z digest=sha256:3a42ca6da517893c20f9d53bd145807d49fb13cdd81157266eab1b6b929bed41

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=sha256:114af7ee2d3ba4ff20f8aab44ff8156f25f041dec7155ac675ce0c51ba24c4e7

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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unresolved
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:e20a69b4f25d6b132be3ea5d537eb61134f94c82eba8bbf9bd83d32cc15d969b

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T11:26:29.965747Z digest=sha256:60d1a524f305ee956ac724fd2aa37eb0295fab83bed21cf9269be1e855cda383

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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unresolved
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=sha256:014e7ba453608103f0d807351bbe423668b0a953db6a12b063eeffd6af0822ac

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=sha256:97c885aa6d48bb8e419274d7d421d1d066943ec2fec17c988aaaa6742b4a5089

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=sha256:71f34b1b7c2927c7b6719a3108a99c805a8d74ad156fec83773d13760d2d234d

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T11:26:30.283277Z digest=sha256:302549ef5bd47477f3cdc40d46077356110c3415542848d790359abec100f734

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=sha256:9cac38e748f1850e3fbf19c6e15d5875dfcac378ddeb1471d6af77e9d825cf17

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

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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:d7bc0c468cdbf08c5b46206e7ae142278a3e167a666503cf04c4f19cecf84eaf

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

Resolution
unresolved
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=sha256:43d38af36505edf626a1b8fd960095e533dc1c1f5ac10f4d1098a7cc302933ca

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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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:d5d6d08150c737759b8f562592a663ace962275b54ca06df7893b0d775688864

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T11:26:30.696048Z digest=sha256:2a3e1df2a8d752ced148d555dc4f07e14235dc73ab173f94776a03a538005178

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T11:26:30.778149Z digest=sha256:55d862729256638bbab040ce3ba062f64f2343c289a7175c1860a90f7e8326fd

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T11:26:30.850475Z digest=sha256:ab005a32f809960d3abb979e9a582e8cc5cf7eb3ec25265bc78a1206f6b68d66

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T11:26:30.923971Z digest=sha256:e17dcb8a4ead4482b8b2183e1f2faa58b21bd5172390eece0006dfe76cbc7c42

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

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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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T11:26:30.997782Z digest=sha256:b8390c274e9cebae1b8408e4e398b512efc2d32fd8462c29834d8b0caeeb1426

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T11:26:31.101356Z digest=sha256:0c4a404195b8b343b31223d3b463a6a71374da68dcb0a48f187dc273a408c195

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T11:26:31.151385Z digest=sha256:6e7f88d744b5c5cdd8ae062db7019aa36011209104263e9629b103f625bcbea5

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T11:26:31.248399Z digest=sha256:354dbc8ea431dea3892fcf21b39be0f5efa983d41e8d7797e4edf63cf4faf690

Pith citing papers

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

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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=sha256:35024d757010694caa1182c414423747d2e9bd8bb779aa3c878e7b5efa52c449

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-19T20:11:47.359922Z digest=sha256:63cbc2a1ac6ffae784c4fc58a79525fff88eff1d20667946ee550a1d3b7212a7

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-20T14:14:41.662856Z digest=sha256:988957e5cd078ed5a2ca718a695d03842d22e23343d8caba110c2adeb1444e69

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-20T07:04:24.854846Z digest=sha256:2cc140d9f2a7002367b31a5b2d053eff21bd105a32712b44454cb1a5133ab626

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-25T19:20:45.217627Z digest=sha256:64db8445966d2076b6bf763e4e15b26b9b0b6d7e755f5c60345aa88755600896

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:f61d36d1480775fce7a093d8d53973f6c1dbaf7a408753804639e3cc83f90304

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-30T07:50:25.117845Z digest=sha256:9807eb256510b8fd005c32a5c46d1464f7a0140696dd126c280950729c9941a3