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Paper Citation Record · LEDGER

SEED-Data-Edit Technical Report: A Hybrid Dataset for Instructional Image Editing

As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 32 inbound Pith citation observations for arXiv:2405.04007.

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

pith.paper-citation-record.v1
2405.04007 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 32 of 32 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 32 of 32 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T13:59:52.797272Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T00:47:29.665670Z

Reference resolution

0 of 0 outbound references displayed

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External citation measurements

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Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation d2625e14-c367-4981-a264-7498048d3723 · inbound

AnyEdit: Mastering Unified High-Quality Image Editing for Any Idea cites this paper.

AnyEdit: Mastering Unified High-Quality Image Editing for Any Idea SEED-Data-Edit Technical Report: A Hybrid Dataset for Instructional Image Editing

Reference 18

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no resolver link, observed 2026-08-12T13:59:52.797272Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T13:59:52.797272Z digest=sha256:8a4f91a399134a674159164d369ac09e4477aaf573a3d36ea846da35a0a2f4f9

Observation c8de2002-690b-40ce-8ddc-a65fe86ecc9f · inbound

OpenING: A Comprehensive Benchmark for Judging Open-ended Interleaved Image-Text Generation cites this paper.

OpenING: A Comprehensive Benchmark for Judging Open-ended Interleaved Image-Text Generation SEED-Data-Edit Technical Report: A Hybrid Dataset for Instructional Image Editing

Reference 23

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no resolver link, observed 2026-08-12T11:10:54.627073Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T11:10:54.627073Z digest=sha256:b7cef483a6adfdacbb5e340c7c292ec977c0bbcb075ae9040bacf108bcb49efd

Observation afb3a97f-2dc2-4096-adf6-2aff10ca7cfb · inbound

LoRA of Change: Learning to Generate LoRA for the Editing Instruction from A Single Before-After Image Pair cites this paper.

LoRA of Change: Learning to Generate LoRA for the Editing Instruction from A Single Before-After Image Pair SEED-Data-Edit Technical Report: A Hybrid Dataset for Instructional Image Editing

Reference 7

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no resolver link, observed 2026-08-12T10:32:16.820668Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T10:32:16.820668Z digest=sha256:de2d788f4b57a6d9b4311bffa62da232b52fd5996e1ff6fd8d3c086829fb8366

Observation 756850cc-ca6d-4fd5-8683-074d7e1ff757 · inbound

HumanEdit: A High-Quality Human-Rewarded Dataset for Instruction-based Image Editing cites this paper.

HumanEdit: A High-Quality Human-Rewarded Dataset for Instruction-based Image Editing SEED-Data-Edit Technical Report: A Hybrid Dataset for Instructional Image Editing

Reference 7

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no resolver link, observed 2026-08-11T21:35:11.276745Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T21:35:11.276745Z digest=sha256:dc2feebc1a413fc22c34a57c5a3d94603b06f65b2efc0bc0de068828d71a79e7

Observation a423c20b-5916-45b1-943d-278f85421448 · inbound

Explanatory Instructions: Towards Unified Vision Tasks Understanding and Zero-shot Generalization cites this paper.

Explanatory Instructions: Towards Unified Vision Tasks Understanding and Zero-shot Generalization SEED-Data-Edit Technical Report: A Hybrid Dataset for Instructional Image Editing

Reference 5

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no resolver link, observed 2026-08-11T04:46:58.992664Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T04:46:58.992664Z digest=sha256:1fd00ec2bc66f8a81b661dedd9d086887beb36cea35dc8fb6c4a9399186228f9

Observation 9f041c65-4b72-4ccb-915e-9a1c6265eff0 · inbound

EditAR: Unified Conditional Generation with Autoregressive Models cites this paper.

EditAR: Unified Conditional Generation with Autoregressive Models SEED-Data-Edit Technical Report: A Hybrid Dataset for Instructional Image Editing

Reference 19

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no resolver link, observed 2026-08-10T21:29:19.915910Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:29:19.915910Z digest=sha256:d6a9646c1bc0b024ce7b2461b62d7fbb18fcfa36a30d341ea5c930799fbe457d

Observation 81e55765-8103-4ccd-bc1d-ce67f197a7a1 · inbound

Hands-off Image Editing: Language-guided Editing without any Task-specific Labeling, Masking or even Training cites this paper.

Hands-off Image Editing: Language-guided Editing without any Task-specific Labeling, Masking or even Training SEED-Data-Edit Technical Report: A Hybrid Dataset for Instructional Image Editing

Reference 13

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no resolver link, observed 2026-08-07T19:38:14.410889Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T19:38:14.410889Z digest=sha256:78250ef81892e875cc615eaf887967321791f31c3901940efcd5ac20ec6a8a86

Observation fdf3b6df-a8fe-473e-9e0b-05d0f2d233b3 · inbound

VACE: All-in-One Video Creation and Editing cites this paper.

VACE: All-in-One Video Creation and Editing SEED-Data-Edit Technical Report: A Hybrid Dataset for Instructional Image Editing

Reference 19

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arxiv_id, observed 2026-05-16T00:53:54.099881Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-16T00:53:53.855965Z digest=sha256:f10542daa92f14cb3eb0c85a960ff0e53379ec1e90c7c0caed49f5eb6e78fd82

Observation f86da50c-2b30-4fbe-9677-ecb1168e4d9d · inbound

Step1X-Edit: A Practical Framework for General Image Editing cites this paper.

Step1X-Edit: A Practical Framework for General Image Editing SEED-Data-Edit Technical Report: A Hybrid Dataset for Instructional Image Editing

Reference 14

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arxiv_id, observed 2026-05-11T14:36:41.597754Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-11T14:36:41.467429Z digest=sha256:bde4e0321ec3582456bdf32c1b7c73b2dba71094d5a399b084d6ba74860b9359

Observation 34670229-0698-427e-a74e-4afd4de457e0 · inbound

Emerging Properties in Unified Multimodal Pretraining cites this paper.

Emerging Properties in Unified Multimodal Pretraining SEED-Data-Edit Technical Report: A Hybrid Dataset for Instructional Image Editing

Reference 22

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arxiv_id, observed 2026-05-10T16:23:42.109329Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-10T16:23:41.854132Z digest=sha256:1c2852d7b8509b066eeb03aeba75b3d36cfefa722b350f420b88ae56d9480347

Observation 9a834e7b-d6ff-4c42-aff9-0be359c7815c · inbound

Understanding Generative AI Capabilities in Everyday Image Editing Tasks cites this paper.

Understanding Generative AI Capabilities in Everyday Image Editing Tasks SEED-Data-Edit Technical Report: A Hybrid Dataset for Instructional Image Editing

Reference 13

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no resolver link, observed 2026-08-07T15:09:19.714382Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:09:19.714382Z digest=sha256:9959c55995fe62a46f42c80850d07fe90e8f064c659bc927889bb636d27954d8

Observation 3803a5d5-3cb2-4ef3-811a-34ffe195aee0 · inbound

KRIS-Bench: Benchmarking Next-Level Intelligent Image Editing Models cites this paper.

KRIS-Bench: Benchmarking Next-Level Intelligent Image Editing Models SEED-Data-Edit Technical Report: A Hybrid Dataset for Instructional Image Editing

Reference 55

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no resolver link, observed 2026-08-07T15:02:21.983159Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:02:21.983159Z digest=sha256:8e460c7ed1d1296c12fc3c74967278f34e0c220f398836b04b3e03713e791010

Observation 8f742fca-d8a9-47e6-923a-1057cfd667ee · inbound

ImgEdit: A Unified Image Editing Dataset and Benchmark cites this paper.

ImgEdit: A Unified Image Editing Dataset and Benchmark SEED-Data-Edit Technical Report: A Hybrid Dataset for Instructional Image Editing

Reference 18

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arxiv_id, observed 2026-05-12T18:17:45.202839Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-12T18:17:45.123690Z digest=sha256:5079feab122b410b6d5a0e7fa42eca1315f98a9bd5550248eef704b3c250087d

Observation 32b5a8b0-cf9e-46a6-8622-976c96fb06d8 · inbound

ByteMorph: Benchmarking Instruction-Guided Image Editing with Non-Rigid Motions cites this paper.

ByteMorph: Benchmarking Instruction-Guided Image Editing with Non-Rigid Motions SEED-Data-Edit Technical Report: A Hybrid Dataset for Instructional Image Editing

Reference 18

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no resolver link, observed 2026-08-07T11:14:05.582796Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:14:05.582796Z digest=sha256:3bd4aef279cb5c517b9e14f23923396e10363ae8e10aea90d4a60f5181aeaf5c

Observation 58ec99bd-e50b-472e-9add-81fe55ffbf28 · inbound

ComplexBench-Edit: Benchmarking Complex Instruction-Driven Image Editing via Compositional Dependencies cites this paper.

ComplexBench-Edit: Benchmarking Complex Instruction-Driven Image Editing via Compositional Dependencies SEED-Data-Edit Technical Report: A Hybrid Dataset for Instructional Image Editing

Reference 11

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no resolver link, observed 2026-08-07T00:40:20.060614Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:40:20.060614Z digest=sha256:c28a39e44d8b8a4498d5a1607f2b7d3899d88110468fde77e80e63cf7e291134

Observation 87b0722d-66c5-4169-8e41-392d3cf70911 · inbound

ShareGPT-4o-Image: Aligning Multimodal Models with GPT-4o-Level Image Generation cites this paper.

ShareGPT-4o-Image: Aligning Multimodal Models with GPT-4o-Level Image Generation SEED-Data-Edit Technical Report: A Hybrid Dataset for Instructional Image Editing

Reference 20

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no resolver link, observed 2026-08-06T23:28:04.382575Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T23:28:04.382575Z digest=sha256:e947314b50d6958c2c6ba8b0cd18d9eca235fde8e8a002fa5572d9453417dc2e

Observation d0872318-8561-4842-8a29-78fd6d1d6352 · inbound

OmniGen2: Towards Instruction-Aligned Multimodal Generation cites this paper.

OmniGen2: Towards Instruction-Aligned Multimodal Generation SEED-Data-Edit Technical Report: A Hybrid Dataset for Instructional Image Editing

Reference 19

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arxiv_id, observed 2026-05-19T07:52:10.777831Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-19T07:47:34.464711Z digest=sha256:1d6bea9ad3df42c0ace75538da820f50cf12c12b818c88dae97054ccf07caa96

Observation 1f4da6bf-77e9-4a35-829a-8cbaf1ad1744 · inbound

Ovis-U1 Technical Report cites this paper.

Ovis-U1 Technical Report SEED-Data-Edit Technical Report: A Hybrid Dataset for Instructional Image Editing

Reference 2016

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no resolver link, observed 2026-08-06T22:01:19.198105Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:01:19.198105Z digest=sha256:4c19fec8c8fb3d22196aeba5cebdc5fc18eb0cda2488c46312f9ab665b7b8de7

Observation 44dd0e9c-a8d4-494b-8314-94d6cda05bdd · inbound

ADIEE: Automatic Dataset Creation and Scorer for Instruction-Guided Image Editing Evaluation cites this paper.

ADIEE: Automatic Dataset Creation and Scorer for Instruction-Guided Image Editing Evaluation SEED-Data-Edit Technical Report: A Hybrid Dataset for Instructional Image Editing

Reference 22

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no resolver link, observed 2026-08-06T18:48:39.186905Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:48:39.186905Z digest=sha256:210797ef0a4b4353228cf1b6b5a228d47d51b931b5e50790aee966c746a1b752

Observation e3dd8826-cffc-44d3-80cb-f7bb91ec883e · inbound

GenTune: Toward Traceable Prompts to Improve Controllability of Image Refinement in Environment Design cites this paper.

GenTune: Toward Traceable Prompts to Improve Controllability of Image Refinement in Environment Design SEED-Data-Edit Technical Report: A Hybrid Dataset for Instructional Image Editing

Reference 46

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no resolver link, observed 2026-08-05T18:05:37.998789Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T18:05:37.998789Z digest=sha256:2d885743c09ddfd3f0d0333412b0d13c3e525105e3d3991d977c3d34661ff70a

Observation df8e7725-a8be-4298-aaee-bfd245b07655 · inbound

Draw-In-Mind: Rebalancing Designer-Painter Roles in Unified Multimodal Models Benefits Image Editing cites this paper.

Draw-In-Mind: Rebalancing Designer-Painter Roles in Unified Multimodal Models Benefits Image Editing SEED-Data-Edit Technical Report: A Hybrid Dataset for Instructional Image Editing

Reference 6

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arxiv_id, observed 2026-05-18T20:06:50.050657Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-18T20:04:00.773443Z digest=sha256:cebc7c01739bf0d2cca80dcee4c44c587eacd220d0059ad44998643aee278c30

Observation 1555edcb-0b69-4596-b56b-239b2bcc8906 · inbound

EditVerse: Unifying Image and Video Editing and Generation with In-Context Learning cites this paper.

EditVerse: Unifying Image and Video Editing and Generation with In-Context Learning SEED-Data-Edit Technical Report: A Hybrid Dataset for Instructional Image Editing

Reference 6

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arxiv_id, observed 2026-05-18T13:46:25.744487Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-18T13:46:05.547669Z digest=sha256:acce28737bc13583b8dbdd18c295310cc70d38d21eb7cefdfce70c1c393625f7

Observation 865423c7-2178-4b7d-b465-740f56df95e1 · inbound

Do-Undo Bench: Reversibility for Action Understanding in Image Generation cites this paper.

Do-Undo Bench: Reversibility for Action Understanding in Image Generation SEED-Data-Edit Technical Report: A Hybrid Dataset for Instructional Image Editing

Reference 12

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arxiv_id, observed 2026-05-16T22:11:18.469208Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-16T22:10:29.304091Z digest=sha256:c278e59d25d4add61b58cba19d85616242ddbc27c85210fce9196d8a846bdcc3

Observation 14dc9001-ac68-4754-8a48-80ce952bb78b · inbound

Hierarchical Concept-to-Appearance Guidance for Multi-Subject Image Generation cites this paper.

Hierarchical Concept-to-Appearance Guidance for Multi-Subject Image Generation SEED-Data-Edit Technical Report: A Hybrid Dataset for Instructional Image Editing

Reference 12

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no resolver link, observed 2026-08-03T05:01:42.217558Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-03T05:01:42.217558Z digest=sha256:14278554a5ac61b295797cc70fd124cd0370480526ec902d5ada472060e69b23

Observation 595b602d-f205-437a-ac97-f937170445d4 · inbound

Under One Sun: Multi-Object Generative Perception of Materials and Illumination cites this paper.

Under One Sun: Multi-Object Generative Perception of Materials and Illumination SEED-Data-Edit Technical Report: A Hybrid Dataset for Instructional Image Editing

Reference 7

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no resolver link, observed 2026-07-13T22:08:47.493022Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-13T22:08:47.493022Z digest=sha256:a9a115825831eaac406d6e6ffac3a8e526d629bae884a0ed52870be344a98049

Observation 646806a9-658f-43ff-bbd8-3830c10e519f · inbound

SpatialEdit: Benchmarking Fine-Grained Image Spatial Editing cites this paper.

SpatialEdit: Benchmarking Fine-Grained Image Spatial Editing SEED-Data-Edit Technical Report: A Hybrid Dataset for Instructional Image Editing

Reference 15

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verified exact
arxiv_id, observed 2026-05-10T23:00:50.433389Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-10T19:23:50.614589Z digest=sha256:43883dcfc81725df185bb3e6a899d7fa0572faa66ecad40700035a9089cfd21e

Observation df66f144-323a-4bc0-93b0-8a1f0160316f · inbound

FineEdit: Fine-Grained Image Edit with Bounding Box Guidance cites this paper.

FineEdit: Fine-Grained Image Edit with Bounding Box Guidance SEED-Data-Edit Technical Report: A Hybrid Dataset for Instructional Image Editing

Reference 9

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verified exact
arxiv_id, observed 2026-05-11T09:06:00.100066Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-10T16:15:23.578176Z digest=sha256:631cd1175b03326d18984e257bb2a3c37749464d70a06a5c92e2e03c0b4ca6e4

Observation 2c7c1a74-6b9d-48f5-b189-7483a52f626a · inbound

Visual Generation in the New Era: An Evolution from Atomic Mapping to Agentic World Modeling cites this paper.

Visual Generation in the New Era: An Evolution from Atomic Mapping to Agentic World Modeling SEED-Data-Edit Technical Report: A Hybrid Dataset for Instructional Image Editing

Reference 24

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arxiv_id, observed 2026-05-12T10:21:27.748056Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-07T06:38:04.459129Z digest=sha256:1c5aed1c3355185e9a0ed25984cc9908c0317dd7ce022b3aa2a45e6e28a62296

Observation 1affb2f1-b353-4726-a8f6-cdf1e8214ba1 · inbound

STARFlow2: Bridging Language Models and Normalizing Flows for Unified Multimodal Generation cites this paper.

STARFlow2: Bridging Language Models and Normalizing Flows for Unified Multimodal Generation SEED-Data-Edit Technical Report: A Hybrid Dataset for Instructional Image Editing

Reference 10

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arxiv_id, observed 2026-05-11T02:45:57.093503Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-11T02:44:59.644215Z digest=sha256:7ae0bf5eb9393c38036fba59ed30f8946adae113046e50f10ed9b9b4f1757173

Observation 2f95ab5c-21c8-49c8-a633-0796e722f264 · inbound

VINS-120K: Ultra High-Resolution Image Editing with A Large-Scale Dataset cites this paper.

VINS-120K: Ultra High-Resolution Image Editing with A Large-Scale Dataset SEED-Data-Edit Technical Report: A Hybrid Dataset for Instructional Image Editing

Reference 15

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arxiv_id, observed 2026-05-25T04:25:19.714218Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-25T04:21:05.811662Z digest=sha256:f9c209f100ff4f3b439f5f52c9cf8049ea9aeb891bffd32b94a157c282e70238

Observation 5c97c955-0ab0-49b5-9e90-cf1ddd2f3c5a · inbound

CV-Arena: An Open Benchmark for Instructional Computer Vision Problem Solving with Human-AI Collaborative Preferences cites this paper.

CV-Arena: An Open Benchmark for Instructional Computer Vision Problem Solving with Human-AI Collaborative Preferences SEED-Data-Edit Technical Report: A Hybrid Dataset for Instructional Image Editing

Reference 22

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arxiv_id, observed 2026-06-28T20:32:37.595446Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-06-28T18:36:46.381564Z digest=sha256:62862d9ac47e71ca379257d51370ed4398f7a17b8fa20681759373d6871c05a6

Observation 84178739-744b-421a-b917-84d0cc1b8387 · inbound

OmniGen-AR: AutoRegressive Any-to-Image Generation cites this paper.

OmniGen-AR: AutoRegressive Any-to-Image Generation SEED-Data-Edit Technical Report: A Hybrid Dataset for Instructional Image Editing

Reference 19

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arxiv_id, observed 2026-07-03T00:47:29.667549Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-06-27T17:05:16.883488Z digest=sha256:aee3a375495d4aecef5bfc29152b45be52abfe6ad79e54670cfcbf5d8e9eb140