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Paper Citation Record · LEDGER

Inpaint Anything: Segment Anything Meets Image Inpainting

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 40 inbound Pith citation observations for arXiv:2304.06790.

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

pith.paper-citation-record.v1
2304.06790 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 40 of 40 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 40 of 40 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T05:23:20.257724Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T03:29:29.511271Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation a2203ea0-ad9a-4bb0-b80b-cda5175454af · inbound

Faster Segment Anything: Towards Lightweight SAM for Mobile Applications cites this paper.

Faster Segment Anything: Towards Lightweight SAM for Mobile Applications Inpaint Anything: Segment Anything Meets Image Inpainting

Reference 9

Resolution
metadata mismatch
arxiv_id, observed 2026-05-17T22:41:43.487640Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-17T22:41:43.411128Z digest=sha256:c107796526f3d8ed334bcdefc131ec648a0967a677c0eb7b33a668a7d1613ff3

Observation 1f9d3eaf-37fb-4d9b-b665-6e382a25a6ad · inbound

SPHINX: The Joint Mixing of Weights, Tasks, and Visual Embeddings for Multi-modal Large Language Models cites this paper.

SPHINX: The Joint Mixing of Weights, Tasks, and Visual Embeddings for Multi-modal Large Language Models Inpaint Anything: Segment Anything Meets Image Inpainting

Reference 41

Resolution
metadata mismatch
arxiv_id, observed 2026-05-17T03:03:26.804216Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-17T03:03:26.723464Z digest=sha256:46d10e30aa7a93aff1f69d827b151580257ded85879b74f81f31d1181e1771b8

Observation 86f186de-481d-4168-b6bc-464d1cbb7713 · inbound

A Survey on Diffusion Models for Inverse Problems cites this paper.

A Survey on Diffusion Models for Inverse Problems Inpaint Anything: Segment Anything Meets Image Inpainting

Reference 53

Resolution
metadata mismatch
arxiv_id, observed 2026-05-17T04:31:49.329885Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-17T04:31:49.105271Z digest=sha256:1ac8c375a2558b80eafc78725e4dd3ffdb4d595264dedb9609a71c541e4e56e1

Observation 306d6da6-d432-408f-9091-67029f62efc7 · inbound

On Efficient Variants of Segment Anything Model: A Survey cites this paper.

On Efficient Variants of Segment Anything Model: A Survey Inpaint Anything: Segment Anything Meets Image Inpainting

Reference 80

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verified exact
arxiv_id, observed 2026-05-23T19:43:23.370936Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-23T19:42:24.122342Z digest=sha256:82ac1efa128da677263bc757d9254f8364121b8a6eb78327474f9536a8a24bca

Observation b7fe7a0e-b6f6-4d57-99a2-be9a911bc198 · inbound

ZISVFM: Zero-Shot Object Instance Segmentation in Indoor Robotic Environments with Vision Foundation Models cites this paper.

ZISVFM: Zero-Shot Object Instance Segmentation in Indoor Robotic Environments with Vision Foundation Models Inpaint Anything: Segment Anything Meets Image Inpainting

Reference 34

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unresolved
no resolver link, observed 2026-08-09T05:23:20.257724Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T05:23:20.257724Z digest=sha256:3c19e2115024beec4c981d06a4c5f226612050b09c1e4348dc11eaba81c19022

Observation a2f3cd5c-ebd1-4b6e-b04e-8adc29b691b7 · inbound

Predictive Red Teaming: Breaking Policies Without Breaking Robots cites this paper.

Predictive Red Teaming: Breaking Policies Without Breaking Robots Inpaint Anything: Segment Anything Meets Image Inpainting

Reference 50

Resolution
unresolved
no resolver link, observed 2026-08-08T15:04:10.912443Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T15:04:10.912443Z digest=sha256:84eabf7018846dcd7dca1223cf9ec81b94115490a324af8fac863520075d0010

Observation e1ee93ca-0f3a-494c-acc8-8331f9bc387f · inbound

SAGI: Semantically Aligned and Uncertainty Guided AI Image Inpainting cites this paper.

SAGI: Semantically Aligned and Uncertainty Guided AI Image Inpainting Inpaint Anything: Segment Anything Meets Image Inpainting

Reference 86

Resolution
unresolved
no resolver link, observed 2026-08-08T15:01:40.045189Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T15:01:40.045189Z digest=sha256:4204bfc44130837ba489944127fe8cab0d7bc14447c8e6517b9f77c30a56adc8

Observation 223e78f5-7d9e-47c8-8291-4086f19121d8 · inbound

Towards Fine-grained Interactive Segmentation in Images and Videos cites this paper.

Towards Fine-grained Interactive Segmentation in Images and Videos Inpaint Anything: Segment Anything Meets Image Inpainting

Reference 44

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unresolved
no resolver link, observed 2026-08-08T10:16:59.208911Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T10:16:59.208911Z digest=sha256:658397e952a5174435713e8f4e50ae08e6b1ee35302d925c594566cf566a28e8

Observation 76db985f-f810-48e2-b15f-ec89fb83bd4f · inbound

COCO-Inpaint: A Benchmark for Detecting and Localizing Inpainting-Based Image Manipulations cites this paper.

COCO-Inpaint: A Benchmark for Detecting and Localizing Inpainting-Based Image Manipulations Inpaint Anything: Segment Anything Meets Image Inpainting

Reference 71

Resolution
verified exact
arxiv_id, observed 2026-05-22T17:51:54.473030Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-22T17:51:40.120648Z digest=sha256:644d795ca3f6459b0c7e414faf4bddbd39057db114dc51b0cf070a16a6d9ec4d

Observation 312d399a-c461-49a5-bbb3-14f083c7a41e · inbound

Incorporating Visual Correspondence into Diffusion Model for Virtual Try-On cites this paper.

Incorporating Visual Correspondence into Diffusion Model for Virtual Try-On Inpaint Anything: Segment Anything Meets Image Inpainting

Reference 69

Resolution
unresolved
no resolver link, observed 2026-08-07T14:55:33.198566Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:55:33.198566Z digest=sha256:7d0a1337f9e76b95c417aa6c120bb2bbf7087625d1fc7a3692ae64056fa68021

Observation 44b1035f-5a91-4712-bb75-ae3202bff9c5 · inbound

DiffDecompose: Layer-Wise Decomposition of Alpha-Composited Images via Diffusion Transformers cites this paper.

DiffDecompose: Layer-Wise Decomposition of Alpha-Composited Images via Diffusion Transformers Inpaint Anything: Segment Anything Meets Image Inpainting

Reference 69

Resolution
unresolved
no resolver link, observed 2026-08-07T14:29:21.419857Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:29:21.419857Z digest=sha256:2ca9533e2d073f291e77a38dc2efa5e39dc7a904772a4a3ea6cc8722b1d033a5

Observation 3bf683d3-39ef-42c1-b306-20f03ac1fd9a · inbound

Identity-Preserving Text-to-Image Generation via Dual-Level Feature Decoupling and Expert-Guided Fusion cites this paper.

Identity-Preserving Text-to-Image Generation via Dual-Level Feature Decoupling and Expert-Guided Fusion Inpaint Anything: Segment Anything Meets Image Inpainting

Reference 65

Resolution
unresolved
no resolver link, observed 2026-08-07T13:14:52.264580Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:14:52.264580Z digest=sha256:93fa688b25babe34464aaa8bba60cfb960ab2debf1979ecfc3d5f44b3973de2b

Observation 8ed334a5-414c-400e-a34a-295c060c25ef · inbound

ArtiScene: Language-Driven Artistic 3D Scene Generation Through Image Intermediary cites this paper.

ArtiScene: Language-Driven Artistic 3D Scene Generation Through Image Intermediary Inpaint Anything: Segment Anything Meets Image Inpainting

Reference 57

Resolution
unresolved
no resolver link, observed 2026-08-07T12:04:15.580962Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:04:15.580962Z digest=sha256:bedeecc56a1c6ce59106c243e5cdcfbb08c1176bd9f38533d528dbe65bc36cd7

Observation bdb4e7b5-da5e-4fe7-81e6-561cbfa25dde · inbound

RefEdit: A Benchmark and Method for Improving Instruction-based Image Editing Model on Referring Expressions cites this paper.

RefEdit: A Benchmark and Method for Improving Instruction-based Image Editing Model on Referring Expressions Inpaint Anything: Segment Anything Meets Image Inpainting

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-07T11:07:56.757927Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:07:56.757927Z digest=sha256:b3ae46affcb7f595fa94bd409c34afb22c38d91b955da57a29bc36503dc02c02

Observation 2691f9d9-b4e3-4b37-bda2-a73f5c1e1f0d · inbound

Towards Reliable Identification of Diffusion-based Image Manipulations cites this paper.

Towards Reliable Identification of Diffusion-based Image Manipulations Inpaint Anything: Segment Anything Meets Image Inpainting

Reference 88

Resolution
unresolved
no resolver link, observed 2026-08-07T10:25:36.540530Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:25:36.540530Z digest=sha256:2788a4d9f6686ef7e1f4e74b5519ca509f0e6c81cfe8021c289f83fb9b1320ba

Observation 2f552ae4-e846-47c5-9b39-ab45dcfc95c9 · inbound

PairEdit: Learning Semantic Variations for Exemplar-based Image Editing cites this paper.

PairEdit: Learning Semantic Variations for Exemplar-based Image Editing Inpaint Anything: Segment Anything Meets Image Inpainting

Reference 66

Resolution
unresolved
no resolver link, observed 2026-08-07T05:29:15.242719Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:29:15.242719Z digest=sha256:af5d9fc4f0becf0ec664c1c2831f647636304aa31d5e39c1077f6e125b3db0a9

Observation 27435b10-0bc6-43c6-8871-6e4f81191b87 · inbound

Preserve Anything: Controllable Image Synthesis with Object Preservation cites this paper.

Preserve Anything: Controllable Image Synthesis with Object Preservation Inpaint Anything: Segment Anything Meets Image Inpainting

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-06T22:12:49.062377Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:12:49.062377Z digest=sha256:c47273b3e9fd8ea43514e797130a8f1d90a16cb382bf23eedfc9534bf68ace5e

Observation d513a089-e751-49a0-a4ff-6df2e5a27232 · inbound

ViRefSAM: Visual Reference-Guided Segment Anything Model for Remote Sensing Segmentation cites this paper.

ViRefSAM: Visual Reference-Guided Segment Anything Model for Remote Sensing Segmentation Inpaint Anything: Segment Anything Meets Image Inpainting

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-06T20:40:06.581223Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:40:06.581223Z digest=sha256:faf8765a167e2f27ea809a7c71e32b35b9fba4ccf3bd7f1c1e222b74ec88bd06

Observation 226ee0c3-bb86-48ff-b75c-d3f83572a73c · inbound

RwoR: Generating Robot Demonstrations from Human Hand Collection for Policy Learning without Robot cites this paper.

RwoR: Generating Robot Demonstrations from Human Hand Collection for Policy Learning without Robot Inpaint Anything: Segment Anything Meets Image Inpainting

Reference 72

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no resolver link, observed 2026-08-06T20:04:38.281526Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:04:38.281526Z digest=sha256:e535e49315003fcf35ae5ef010c7f5736275ec766966720e20a8d390495fcb66

Observation c94d1f8d-1de7-4b98-9ff5-f2a5f561a4ad · inbound

SceneLoom: Communicating Data with Scene Context cites this paper.

SceneLoom: Communicating Data with Scene Context Inpaint Anything: Segment Anything Meets Image Inpainting

Reference 75

Resolution
unresolved
no resolver link, observed 2026-08-06T15:12:51.180187Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:12:51.180187Z digest=sha256:0cb6f4845b0be36a25d32caffc2fc0b3d76993de582b402c23ec10fdaf493c79

Observation bc5ed525-7774-4a1f-926e-ed3771545a4a · inbound

MagicHOI: Leveraging 3D Priors for Accurate Hand-object Reconstruction from Short Monocular Video Clips cites this paper.

MagicHOI: Leveraging 3D Priors for Accurate Hand-object Reconstruction from Short Monocular Video Clips Inpaint Anything: Segment Anything Meets Image Inpainting

Reference 85

Resolution
unresolved
no resolver link, observed 2026-08-05T23:23:04.095607Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T23:23:04.095607Z digest=sha256:b23ffee4ea5c70e84694dd5363dd57310524cb0a4675ded3e7c75b2c77169801

Observation 473c1fab-823e-4914-a53f-5384d822fb55 · 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 Inpaint Anything: Segment Anything Meets Image Inpainting

Reference 136

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unresolved
no resolver link, observed 2026-08-05T18:05:46.853214Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T18:05:46.853214Z digest=sha256:3894762e5dbfb499ff6db0a3dfa934e1b1357f0cb8d54ef47007a0a2a11176fa

Observation 28965bed-f844-46dd-8ee3-3dd424091caf · inbound

Neural Scene Designer: Self-Styled Semantic Image Manipulation cites this paper.

Neural Scene Designer: Self-Styled Semantic Image Manipulation Inpaint Anything: Segment Anything Meets Image Inpainting

Reference 51

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unresolved
no resolver link, observed 2026-08-05T12:39:05.483020Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T12:39:05.483020Z digest=sha256:8057c377606a1af0e5821d73777696d61dda2fca4151f10edcf0d8ccc44da865

Observation d2750231-0875-44bd-9b77-e699a032946e · inbound

2D Gaussian Splatting with Semantic Alignment for Image Inpainting cites this paper.

2D Gaussian Splatting with Semantic Alignment for Image Inpainting Inpaint Anything: Segment Anything Meets Image Inpainting

Reference 49

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unresolved
no resolver link, observed 2026-08-05T12:06:36.268610Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T12:06:36.268610Z digest=sha256:a8b8e1484d8f778afcbe6a43d6ab1f5af6c028aa467236db92a25b7bab3e7f37

Observation 8eec8815-3a5b-478a-b2a9-a44f6e7e12ce · inbound

EfficientIML: Efficient High-Resolution Image Manipulation Localization cites this paper.

EfficientIML: Efficient High-Resolution Image Manipulation Localization Inpaint Anything: Segment Anything Meets Image Inpainting

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-04T20:28:34.002336Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T20:28:34.002336Z digest=sha256:b163e0425bb8d90017a69330bc79ea2c8106d25994cd850d663ede08290ab354

Observation 0e3aaa74-84a3-4668-bff9-b9523928957e · inbound

GENA3D: Generative Amodal 3D Modeling by Bridging 2D Priors and 3D Coherence cites this paper.

GENA3D: Generative Amodal 3D Modeling by Bridging 2D Priors and 3D Coherence Inpaint Anything: Segment Anything Meets Image Inpainting

Reference 80

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unresolved
no resolver link, observed 2026-08-03T19:58:40.364104Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T19:58:40.364104Z digest=sha256:819a5458c422357972f742d3659a6db291c128788cc6a9691a1ea3bf70ce58d4

Observation 1d383dc8-6808-4924-b1d0-a91df2bb26b6 · inbound

IGen: Scalable Data Generation for Robot Learning from Open-World Images cites this paper.

IGen: Scalable Data Generation for Robot Learning from Open-World Images Inpaint Anything: Segment Anything Meets Image Inpainting

Reference 66

Resolution
verified exact
arxiv_id, observed 2026-05-17T02:58:54.796083Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-17T02:58:36.214948Z digest=sha256:2753be1e3a8665c15addd01a79880b2da91e4acfb1dbf5384e857ed58ac0b9e0

Observation 58e61386-d1c2-44ca-937c-4e288adbc759 · inbound

Automated Annotation of Shearographic Measurements Enabling Weakly Supervised Defect Detection cites this paper.

Automated Annotation of Shearographic Measurements Enabling Weakly Supervised Defect Detection Inpaint Anything: Segment Anything Meets Image Inpainting

Reference 26

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metadata mismatch
arxiv_id, observed 2026-05-17T00:21:23.684484Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-17T00:19:31.834944Z digest=sha256:a746808286a8e1865c4a034d301616114066c4270e2e184cd671509fedcbb41c

Observation ae52c37a-1778-4324-870b-ccaa73e0eb7a · inbound

Glove2Hand: Synthesizing Natural Hand-Object Interaction from Multi-Modal Sensing Gloves cites this paper.

Glove2Hand: Synthesizing Natural Hand-Object Interaction from Multi-Modal Sensing Gloves Inpaint Anything: Segment Anything Meets Image Inpainting

Reference 73

Resolution
unresolved
no resolver link, observed 2026-07-13T21:11:31.022938Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-13T21:11:31.022938Z digest=sha256:e1c8b943cd02f88b95d79fcfc9d06e932aaf0d584dc6f9e15307e8329f4fd911

Observation 0cc85aa4-98d7-4af9-8ac0-6b00be07a39c · inbound

WARPED: Wrist-Aligned Rendering for Robot Policy Learning from Egocentric Human Demonstrations cites this paper.

WARPED: Wrist-Aligned Rendering for Robot Policy Learning from Egocentric Human Demonstrations Inpaint Anything: Segment Anything Meets Image Inpainting

Reference 121

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T11:01:02.499068Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-10T15:14:24.932972Z digest=sha256:5dc5f139e56c0167ac30409aad934c017379e31cfab3cbd6b2189cdd3e714348

Observation 5b012b1f-9171-4f57-9e44-da2f362676c1 · inbound

DiffusionPrint: Learning Generative Fingerprints for Diffusion-Based Inpainting Localization cites this paper.

DiffusionPrint: Learning Generative Fingerprints for Diffusion-Based Inpainting Localization Inpaint Anything: Segment Anything Meets Image Inpainting

Reference 58

Resolution
verified exact
arxiv_id, observed 2026-05-11T09:56:01.383974Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-10T15:45:23.403164Z digest=sha256:90107a779bff111606a95b8d0dc0e7cb8d132327a47b878af9eaa73045035a64

Observation e4763603-1535-4848-aa77-406dbffcd597 · inbound

Delta-Adapter: Scalable Exemplar-Based Image Editing with Single-Pair Supervision cites this paper.

Delta-Adapter: Scalable Exemplar-Based Image Editing with Single-Pair Supervision Inpaint Anything: Segment Anything Meets Image Inpainting

Reference 56

Resolution
verified exact
arxiv_id, observed 2026-05-11T03:40:53.931349Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-11T03:33:50.738264Z digest=sha256:b42cd4511b8ca668f8f5751cff657aa730a25d14a5871e6d5ef40ca2e8a4f8e1

Observation 0fa219f5-773b-441d-b6e0-19ac45354ae1 · inbound

RevealLayer: Disentangling Hidden and Visible Layers via Occlusion-Aware Image Decomposition cites this paper.

RevealLayer: Disentangling Hidden and Visible Layers via Occlusion-Aware Image Decomposition Inpaint Anything: Segment Anything Meets Image Inpainting

Reference 50

Resolution
verified exact
arxiv_id, observed 2026-05-13T07:47:32.703280Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-05-13T07:46:50.540528Z digest=sha256:03e9e4a73d6b7fbbaa913ecde03d1fdfc34869fefb5a56b8cb2f1dc13bc46d6e

Observation 3923af31-ddcc-4b6d-ac31-3a1de891bc18 · inbound

ClickRemoval: An Interactive Open-Source Tool for Object Removal in Diffusion Models cites this paper.

ClickRemoval: An Interactive Open-Source Tool for Object Removal in Diffusion Models Inpaint Anything: Segment Anything Meets Image Inpainting

Reference 14

Resolution
verified exact
arxiv_id, observed 2026-05-15T02:48:33.217210Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-15T02:47:36.481658Z digest=sha256:337fc4def14eb4699a229b01d6a4b245514d6e17bd213503f1c35b4bf484f1a3

Observation f19f2628-40e3-4d29-a4ab-22dac07e66c7 · inbound

Flow-Based Generative Modeling for Optimizing Sampling Policies in Compressed Sensing Applications cites this paper.

Flow-Based Generative Modeling for Optimizing Sampling Policies in Compressed Sensing Applications Inpaint Anything: Segment Anything Meets Image Inpainting

Reference 13

Resolution
verified exact
arxiv_id, observed 2026-06-30T15:54:48.824482Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-30T15:52:48.751172Z digest=sha256:9eb79afdc7af360fe90edd6fd3dff2167aaf0d097048b5b7701e2e00179397db

Observation d1354508-ae6b-494f-a706-bbb4d3c9beb1 · inbound

SAM-Flow: Source-Anchored Masked Flow for Training-Free Image Editing cites this paper.

SAM-Flow: Source-Anchored Masked Flow for Training-Free Image Editing Inpaint Anything: Segment Anything Meets Image Inpainting

Reference 35

Resolution
metadata mismatch
arxiv_id, observed 2026-07-02T12:06:56.069665Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-28T02:26:31.903211Z digest=sha256:f53e6a7b06c1dc98e035007758f62e65e286567f14898e8bbb38ffbfbbbfb383

Observation ce0b27b2-3384-4484-8d39-85e430973922 · inbound

EgoEngine: From Egocentric Human Videos to High-Fidelity Dexterous Robot Demonstrations cites this paper.

EgoEngine: From Egocentric Human Videos to High-Fidelity Dexterous Robot Demonstrations Inpaint Anything: Segment Anything Meets Image Inpainting

Reference 59

Resolution
verified exact
arxiv_id, observed 2026-07-03T11:38:05.078132Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-27T09:27:43.453005Z digest=sha256:51c6092e71e0e2b0a955a9426880b38dc78ce047b45e8beb738c1cb6ea4cda7b

Observation 68de672f-08db-4624-b4e6-087272f29b72 · inbound

GASE: Gaussian Splatting-Based Automated System for Reconstructing Embodied-Simulation Environments cites this paper.

GASE: Gaussian Splatting-Based Automated System for Reconstructing Embodied-Simulation Environments Inpaint Anything: Segment Anything Meets Image Inpainting

Reference 85

Resolution
verified exact
arxiv_id, observed 2026-07-03T21:08:57.893572Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-27T00:57:02.382938Z digest=sha256:ce9dc1d9ef3f34199415a95f1bdce710990178939365323aa7f79655c2f82f1f

Observation 0e330c0a-4be8-4a10-bfff-0fbe1efacc17 · inbound

TeleMorpher: Toward Robust Simultaneous Motion-Location Editing cites this paper.

TeleMorpher: Toward Robust Simultaneous Motion-Location Editing Inpaint Anything: Segment Anything Meets Image Inpainting

Reference 51

Resolution
verified exact
arxiv_id, observed 2026-07-04T03:29:29.514149Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-26T18:05:53.625489Z digest=sha256:d65c4ff2136d2d289f5428495cf0153a0d4d4c341cc36a686b0e0a8f9a05def7

Observation fa6b06cd-ff5c-4370-8daf-88fc45676fd8 · inbound

ZMIS-SAM: Segment Anything Model Enhanced with Wavelet Transform for Zooplankton Microscopy Image Instance Segmentation cites this paper.

ZMIS-SAM: Segment Anything Model Enhanced with Wavelet Transform for Zooplankton Microscopy Image Instance Segmentation Inpaint Anything: Segment Anything Meets Image Inpainting

Reference 56

Resolution
unresolved
no resolver link, observed 2026-08-01T05:13:24.153190Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T05:13:24.153190Z digest=sha256:15299e402ec03e6cd86077e8212ecab477b04df13b4d2ec17295d84ab5fcf0e2