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Paper Citation Record · LEDGER

Fast Segment Anything

As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 100 inbound Pith citation observations for arXiv:2306.12156.

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

pith.paper-citation-record.v1
2306.12156 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 100 of 100 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 100 of 110 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T20:59:10.972360Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

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

External citation measurements

33
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 0b345935-fdc3-44a8-9b50-c897d20678e9 · inbound

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

Faster Segment Anything: Towards Lightweight SAM for Mobile Applications Fast Segment Anything

Reference 4

Resolution
metadata mismatch
arxiv_id, observed 2026-05-17T22:41:43.460942Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-05-17T22:41:43.411128Z digest=sha256:d4069066524e013475e0466eec729f0b3cbc1412992bbef577c85b1ccf9c3a09

Observation a7904924-a138-431b-b99e-728b7b407fbf · inbound

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

On Efficient Variants of Segment Anything Model: A Survey Fast Segment Anything

Reference 41

Resolution
verified exact
arxiv_id, observed 2026-05-23T19:43:23.244522Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-05-23T19:42:24.122342Z digest=sha256:44cf677043f4c2cdcee8612f398d880e0c1c05a5e525869a9c034c7df86623df

Observation b61767a6-7c83-4f68-a595-0a2aaeb25729 · inbound

CorrCLIP: Reconstructing Patch Correlations in CLIP for Open-Vocabulary Semantic Segmentation cites this paper.

CorrCLIP: Reconstructing Patch Correlations in CLIP for Open-Vocabulary Semantic Segmentation Fast Segment Anything

Reference 77

Resolution
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no resolver link, observed 2026-08-12T20:04:44.228100Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T20:04:44.228100Z digest=sha256:3b37b956867a14dc92afbe08ec45c3d7b84c3f0072c05e64321907a370039923

Observation 8fb7c770-2499-459e-b1eb-8b782e828946 · inbound

SAMURAI: Adapting Segment Anything Model for Zero-Shot Visual Tracking with Motion-Aware Memory cites this paper.

SAMURAI: Adapting Segment Anything Model for Zero-Shot Visual Tracking with Motion-Aware Memory Fast Segment Anything

Reference 54

Resolution
unresolved
no resolver link, observed 2026-08-12T18:46:30.778311Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T18:46:30.778311Z digest=sha256:f95ad1cd3bd6af09de3adf4667dea0d7ff6d425d9e94c17b97fc1d53ee6957c1

Observation 86ebc9eb-c918-44bf-993f-1cc816f34e7a · inbound

Bringing the Context Back into Object Recognition, Robustly cites this paper.

Bringing the Context Back into Object Recognition, Robustly Fast Segment Anything

Reference 63

Resolution
unresolved
no resolver link, observed 2026-08-12T13:48:02.900021Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T13:48:02.900021Z digest=sha256:867d3a2c18f09564180c119a2a8269421612152f101cf0e5241fc5b33eb14898

Observation 57d4b05e-bf37-40ff-b9c6-f6a94ee301e9 · inbound

UNOPose: Unseen Object Pose Estimation with an Unposed RGB-D Reference Image cites this paper.

UNOPose: Unseen Object Pose Estimation with an Unposed RGB-D Reference Image Fast Segment Anything

Reference 107

Resolution
unresolved
no resolver link, observed 2026-08-12T13:39:18.132374Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T13:39:18.132374Z digest=sha256:042f35cd7ff2a01320706c5849213323b9f195d671a002534e6ccb935848e75d

Observation a10ee9ab-c84c-4dcd-b625-e5f2d2975f9c · inbound

Online Knowledge Integration for 3D Semantic Mapping: A Survey cites this paper.

Online Knowledge Integration for 3D Semantic Mapping: A Survey Fast Segment Anything

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-12T11:31:13.907520Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T11:31:13.907520Z digest=sha256:f7a5ca48c3661ca88906f6c5a8c854e5a5829d425eca75f23d6159d1c13d7afa

Observation a37e3207-8e66-4b3b-a841-13f33d48d880 · inbound

CoVis: A Collaborative Framework for Fine-grained Graphic Visual Understanding cites this paper.

CoVis: A Collaborative Framework for Fine-grained Graphic Visual Understanding Fast Segment Anything

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-12T10:57:34.162662Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T10:57:34.162662Z digest=sha256:31beb7ed93fc44ff56330e11d4df9b7dbb4ea2dbbb78775b607ffe6af5d8b593

Observation d9dcc093-bc1c-4f9c-955e-c83231a17c5c · inbound

UrbanCAD: Towards Highly Controllable and Photorealistic 3D Vehicles for Urban Scene Simulation cites this paper.

UrbanCAD: Towards Highly Controllable and Photorealistic 3D Vehicles for Urban Scene Simulation Fast Segment Anything

Reference 82

Resolution
unresolved
no resolver link, observed 2026-08-12T10:23:40.648588Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T10:23:40.648588Z digest=sha256:44a60b1fd52e043d4c66a3132a15f1836e70dbe610611718d493449bc08e1b21

Observation 21145929-d4e0-4600-8ff3-a95640d11108 · inbound

QuAKE: Speeding up Model Inference Using Quick and Approximate Kernels for Exponential Non-Linearities cites this paper.

QuAKE: Speeding up Model Inference Using Quick and Approximate Kernels for Exponential Non-Linearities Fast Segment Anything

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-12T05:29:37.549859Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T05:29:37.549859Z digest=sha256:65f5baf34aec2e4fd767c68e131726f3562d8d002faea99d65a283abaa4d3648

Observation ac2b4c33-ca55-40c1-bf64-e1bc43658a6e · inbound

GFreeDet: Exploiting Gaussian Splatting and Foundation Models for Model-free Unseen Object Detection in the BOP Challenge 2024 cites this paper.

GFreeDet: Exploiting Gaussian Splatting and Foundation Models for Model-free Unseen Object Detection in the BOP Challenge 2024 Fast Segment Anything

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-12T04:22:34.021041Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T04:22:34.021041Z digest=sha256:b360f0619e137485519b6fbfecc2fbc0af1df2be0c9fa776bdcc69303b3576b8

Observation 41fbf79b-42ed-4507-9e17-e246914d47a8 · inbound

SparseGrasp: Robotic Grasping via 3D Semantic Gaussian Splatting from Sparse Multi-View RGB Images cites this paper.

SparseGrasp: Robotic Grasping via 3D Semantic Gaussian Splatting from Sparse Multi-View RGB Images Fast Segment Anything

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-11T23:51:38.260775Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T23:51:38.260775Z digest=sha256:7c9b239357189d30263c6712b49b9530029df0b87958c60eb18482db56383411

Observation 6b861ab9-f62f-41a7-ac41-2e9ca44d0d0b · inbound

CrackESS: A Self-Prompting Crack Segmentation System for Edge Devices cites this paper.

CrackESS: A Self-Prompting Crack Segmentation System for Edge Devices Fast Segment Anything

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-11T19:05:16.910654Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T19:05:16.910654Z digest=sha256:45e3617739f65cc3f3422f40609aa69c22c26e13995ae7fe60c1f9318ca871ae

Observation 3facc073-dc0b-4e9b-8896-29ef87fe1c28 · inbound

Stereo Hand-Object Reconstruction for Human-to-Robot Handover cites this paper.

Stereo Hand-Object Reconstruction for Human-to-Robot Handover Fast Segment Anything

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-11T18:52:47.232386Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T18:52:47.232386Z digest=sha256:dff019a450ee4e2cf092a5a94c6f023e199fb5f1bde54f7f3d9e419c29958a5d

Observation ec97926b-8a58-41f2-b749-2324fd0a67a1 · inbound

Grasp Diffusion Network: Learning Grasp Generators from Partial Point Clouds with Diffusion Models in SO(3)xR3 cites this paper.

Grasp Diffusion Network: Learning Grasp Generators from Partial Point Clouds with Diffusion Models in SO(3)xR3 Fast Segment Anything

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-11T18:01:26.479266Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T18:01:26.479266Z digest=sha256:79bc4ad64786b37019bb073c6aa6d593278d45ae9cdae09bd60117610e7f07b6

Observation ec056fb3-786f-4660-913f-799178986392 · inbound

Reverse Region-to-Entity Annotation for Pixel-Level Visual Entity Linking cites this paper.

Reverse Region-to-Entity Annotation for Pixel-Level Visual Entity Linking Fast Segment Anything

Reference 51

Resolution
unresolved
no resolver link, observed 2026-08-11T13:02:00.465085Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T13:02:00.465085Z digest=sha256:0058d2d1d168a0ca8ae842893630323834c97f0d34c3398c157e3af72e4fd50f

Observation a71f9ca5-d5e1-4681-a148-fb340daa2aaa · inbound

POEX: Towards Policy Executable Jailbreak Attacks Against the LLM-based Robots cites this paper.

POEX: Towards Policy Executable Jailbreak Attacks Against the LLM-based Robots Fast Segment Anything

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-11T10:28:38.022832Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T10:28:38.022832Z digest=sha256:9948fe0d40ef09db959b6c6466617e0533195f22c1b013b49f777d3aea7fc62a

Observation 7da14d73-7e21-446e-a4d9-ad1567724b66 · inbound

Detect Changes like Humans: Incorporating Semantic Priors for Improved Change Detection cites this paper.

Detect Changes like Humans: Incorporating Semantic Priors for Improved Change Detection Fast Segment Anything

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-11T06:03:44.392784Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T06:03:44.392784Z digest=sha256:db21324d755301fa38758f86ddba3c981285ae05bb92681302480d33a96b32d9

Observation b140be6e-7eef-448a-a67e-3750229fc952 · inbound

AdaCo: Overcoming Visual Foundation Model Noise in 3D Semantic Segmentation via Adaptive Label Correction cites this paper.

AdaCo: Overcoming Visual Foundation Model Noise in 3D Semantic Segmentation via Adaptive Label Correction Fast Segment Anything

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-11T04:57:11.574153Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T04:57:11.574153Z digest=sha256:a588a5cbfa17a9a47eceaef4f4dc4bb3221ec25abe9d4f459131df3e62d20e0b

Observation 5611139f-527e-4d4c-bf00-802f07c6dff9 · inbound

FoundationStereo: Zero-Shot Stereo Matching cites this paper.

FoundationStereo: Zero-Shot Stereo Matching Fast Segment Anything

Reference 87

Resolution
unresolved
no resolver link, observed 2026-08-10T19:36:36.211018Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T19:36:36.211018Z digest=sha256:20a607af8522c8476f1f20346cee5ab2a521eb31b75a644d13daebdbc3f776fa

Observation a26e418d-70a8-4aaa-ac59-d73af69c8ecd · inbound

DynamicEarth: How Far are We from Open-Vocabulary Change Detection? cites this paper.

DynamicEarth: How Far are We from Open-Vocabulary Change Detection? Fast Segment Anything

Reference 78

Resolution
unresolved
no resolver link, observed 2026-08-10T16:43:09.720417Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T16:43:09.720417Z digest=sha256:fe3ed14c854619cb8b62331f2f1704c496eb4b6ad0103c647a622cf0865f6362

Observation 0abc2230-d381-40ed-aae4-6f75944ef568 · inbound

Efficient Knowledge Distillation of SAM for Medical Image Segmentation cites this paper.

Efficient Knowledge Distillation of SAM for Medical Image Segmentation Fast Segment Anything

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-10T11:06:41.505768Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T11:06:41.505768Z digest=sha256:2d2432b40e0a6ffb60da4a16cca05f31991eaa1a77df6a19ce643f8aa2ae0e20

Observation e4db51c4-8f95-4955-9dde-5332e99259fa · inbound

Lifting by Gaussians: A Simple, Fast and Flexible Method for 3D Instance Segmentation cites this paper.

Lifting by Gaussians: A Simple, Fast and Flexible Method for 3D Instance Segmentation Fast Segment Anything

Reference 50

Resolution
unresolved
no resolver link, observed 2026-08-09T20:01:08.382231Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T20:01:08.382231Z digest=sha256:358b2bd887447778351df669a7ddc8e98d67aa2b58f032fbb8bbf55d024fca80

Observation b59b1f62-96de-4582-8702-d9c37b92d466 · inbound

Vision and Language Reference Prompt into SAM for Few-shot Segmentation cites this paper.

Vision and Language Reference Prompt into SAM for Few-shot Segmentation Fast Segment Anything

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-09T18:01:17.984957Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T18:01:17.984957Z digest=sha256:2c820c71e326e3f31ce75bd570cfd1fb1a9b4353bd0d411d7934916781a4ae36

Observation 8c33a7f3-bfba-451d-9124-d100084f6b55 · inbound

Exploring Few-Shot Defect Segmentation in General Industrial Scenarios with Metric Learning and Vision Foundation Models cites this paper.

Exploring Few-Shot Defect Segmentation in General Industrial Scenarios with Metric Learning and Vision Foundation Models Fast Segment Anything

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-09T16:13:53.298007Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T16:13:53.298007Z digest=sha256:527a3537e8c1056358b7a44b63962b2dd528f699bf71e93f1d8341da3631c98c

Observation 378c12ce-98db-4d27-8978-e10e961668c1 · inbound

AutoOcc: Automatic Open-Ended Semantic Occupancy Annotation via Vision-Language Guided Gaussian Splatting cites this paper.

AutoOcc: Automatic Open-Ended Semantic Occupancy Annotation via Vision-Language Guided Gaussian Splatting Fast Segment Anything

Reference 65

Resolution
unresolved
no resolver link, observed 2026-08-08T20:48:50.952298Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T20:48:50.952298Z digest=sha256:18edbd66235b949025f1a73ba61d35c2db997c3b034e1f92956b2abab1b89737

Observation aa5b4737-e1cf-4ec5-9034-25b6fe9be25e · inbound

SketchFlex: Facilitating Spatial-Semantic Coherence in Text-to-Image Generation with Region-Based Sketches cites this paper.

SketchFlex: Facilitating Spatial-Semantic Coherence in Text-to-Image Generation with Region-Based Sketches Fast Segment Anything

Reference 75

Resolution
unresolved
no resolver link, observed 2026-08-08T12:22:43.344174Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T12:22:43.344174Z digest=sha256:e0bdd2fbaddcbae33134cf1c657183832e12fed62da73260238ae08969f7c551

Observation 2bdffec3-0cb7-4d07-9319-158402647dbe · inbound

Image Embedding Sampling Method for Diverse Captioning cites this paper.

Image Embedding Sampling Method for Diverse Captioning Fast Segment Anything

Reference 57

Resolution
unresolved
no resolver link, observed 2026-08-07T19:25:34.137933Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T19:25:34.137933Z digest=sha256:14eca80f9512f34b432554111f0c68b2f7b9511b6076f4c1e6f0ecf25d4bb7f8

Observation 9e8723f9-ff7d-4355-be5c-e9272afdcde4 · inbound

Dynam3D: Dynamic Layered 3D Tokens Empower VLM for Vision-and-Language Navigation cites this paper.

Dynam3D: Dynamic Layered 3D Tokens Empower VLM for Vision-and-Language Navigation Fast Segment Anything

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-15T20:59:10.972360Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:59:10.972360Z digest=sha256:28130e983aade755224dccf307228f2404e72922a2dd051e2d43fd7f18b6e662

Observation ffdb20a0-98ac-4f04-9bf5-e3e528b57768 · inbound

Experimental Study on Automatically Assembling Custom Catering Packages With a 3-DOF Delta Robot Using Deep Learning Methods cites this paper.

Experimental Study on Automatically Assembling Custom Catering Packages With a 3-DOF Delta Robot Using Deep Learning Methods Fast Segment Anything

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-15T20:51:23.938424Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:51:23.938424Z digest=sha256:e32dadbfa8fa3de8604c79a6608b3a12f63fb9d78fb71ca17dee94e54ab27e62

Observation 95ed3dd1-64f5-4286-a375-86f82fdd5fff · inbound

L2D2: Robot Learning from 2D Drawings cites this paper.

L2D2: Robot Learning from 2D Drawings Fast Segment Anything

Reference 55

Resolution
unresolved
no resolver link, observed 2026-08-15T20:47:47.469965Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:47:47.469965Z digest=sha256:90e72f3d8df1668ec0f55848e4231ab232dcde04139da73ef59b3d3acb0681e9

Observation 34306fe9-3df4-431f-91a1-90b9bdbcf2ad · inbound

Sketch Interface for Teleoperation of Mobile Manipulator to Enable Intuitive and Intended Operation: A Proof of Concept cites this paper.

Sketch Interface for Teleoperation of Mobile Manipulator to Enable Intuitive and Intended Operation: A Proof of Concept Fast Segment Anything

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-15T20:10:49.635917Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:10:49.635917Z digest=sha256:bdffeb52562f9d1d406fb5d214dad185494a4f1fc3072e4ff9f23b24a731fa5f

Observation a22f9634-fb89-4dc7-8b6c-003fedfa18f2 · inbound

RoboCulture: A Robotics Platform for Automated Biological Experimentation cites this paper.

RoboCulture: A Robotics Platform for Automated Biological Experimentation Fast Segment Anything

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-07T15:31:00.906613Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:31:00.906613Z digest=sha256:71b855dc96b48bd9879908a56c5648ca66e57cee9a2f2dc14fbdfca409ea4d82

Observation 0fe23ee0-83d0-4a45-ad37-26c9adec157e · inbound

Track Anything Annotate: Video annotation and dataset generation of computer vision models cites this paper.

Track Anything Annotate: Video annotation and dataset generation of computer vision models Fast Segment Anything

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-07T14:40:46.997149Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:40:46.997149Z digest=sha256:772d63591cedca83cdfc487a202ade9c8415be308c88f722047d2fd703480cef

Observation d2358a2d-4b08-4aaf-8c97-ea814a00849f · inbound

Weakly-Supervised Affordance Grounding Guided by Part-Level Semantic Priors cites this paper.

Weakly-Supervised Affordance Grounding Guided by Part-Level Semantic Priors Fast Segment Anything

Reference 83

Resolution
unresolved
no resolver link, observed 2026-08-07T12:40:08.272223Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:40:08.272223Z digest=sha256:f7dbc8634e2b85dbcf17f8249f3fde4c88e35f0aeafe4ed96c51cfa9f413f73b

Observation a027915a-2f96-4f65-8176-e2d4128ae780 · inbound

SAM-I2V: Upgrading SAM to Support Promptable Video Segmentation with Less than 0.2% Training Cost cites this paper.

SAM-I2V: Upgrading SAM to Support Promptable Video Segmentation with Less than 0.2% Training Cost Fast Segment Anything

Reference 56

Resolution
unresolved
no resolver link, observed 2026-08-07T11:52:49.758396Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:52:49.758396Z digest=sha256:a6786c108a1b9b552cd3395085cd4cc60afbd980011cc09efb326b42bb429fb0

Observation 6d85d712-5c57-410d-8660-822dd4315a3c · inbound

SAM2-LOVE: Segment Anything Model 2 in Language-aided Audio-Visual Scenes cites this paper.

SAM2-LOVE: Segment Anything Model 2 in Language-aided Audio-Visual Scenes Fast Segment Anything

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-07T11:44:12.151305Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:44:12.151305Z digest=sha256:4c0164825fbdaf2f5c0673e892fdb7dca363db1b11936a9775886e54b8c8e413

Observation 037adc13-83fb-4e76-a27e-08af8718a73b · inbound

Perceive Anything: Recognize, Explain, Caption, and Segment Anything in Images and Videos cites this paper.

Perceive Anything: Recognize, Explain, Caption, and Segment Anything in Images and Videos Fast Segment Anything

Reference 87

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:28:14.704495Z digest=sha256:0953e2757f457cc683858a151d0131d36dfe1ab85e41e2c5797695a615096716

Observation 6bf1bcc1-f9b8-43c0-a538-2dc6cb6e532b · inbound

Towards Terrain-Aware Task-Driven 3D Scene Graph Generation in Outdoor Environments cites this paper.

Towards Terrain-Aware Task-Driven 3D Scene Graph Generation in Outdoor Environments Fast Segment Anything

Reference 37

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no resolver link, observed 2026-08-07T05:58:05.474095Z

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source=pdf_text observed=2026-08-07T05:58:05.474095Z digest=sha256:95160815a6397d44301aabfa92046e01a2ab322f1a56d58b2fda270d231a21dc

Observation 3d830a97-3ae9-4638-b967-3ec8731cf7c7 · inbound

Experimental Evaluation of Static Image Sub-Region-Based Search Models Using CLIP cites this paper.

Experimental Evaluation of Static Image Sub-Region-Based Search Models Using CLIP Fast Segment Anything

Reference 21

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no resolver link, observed 2026-08-07T05:51:22.850799Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-07T05:51:22.850799Z digest=sha256:b47da52b39253f84b67c3cbe4ab6e7a71c7e408ce441b325b08df35bd45d5267

Observation 2072ebb6-de58-4198-a88f-b5d5d5af5cda · inbound

Dynamic Sub-region Search in Homogeneous Collections Using CLIP cites this paper.

Dynamic Sub-region Search in Homogeneous Collections Using CLIP Fast Segment Anything

Reference 29

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no resolver link, observed 2026-08-07T04:51:44.431102Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:51:44.431102Z digest=sha256:feca4ce2db0df6c9c3e119de21fb524d3e621cbfb537b6820800c250f801559b

Observation 8482b3c4-dcc7-4f75-a99f-f65c7bc93e1e · inbound

Accurate and efficient zero-shot 6D pose estimation with frozen foundation models cites this paper.

Accurate and efficient zero-shot 6D pose estimation with frozen foundation models Fast Segment Anything

Reference 76

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source=pdf_text observed=2026-08-07T04:47:07.604346Z digest=sha256:7bd4fc3eecae8728fab756b8d92681e50cab66496f8cc1601a64e0d294d9c4d4

Observation e57b58ee-d1ee-4a3b-bb66-c6f4e81d541b · inbound

Segment This Thing: Foveated Tokenization for Efficient Point-Prompted Segmentation cites this paper.

Segment This Thing: Foveated Tokenization for Efficient Point-Prompted Segmentation Fast Segment Anything

Reference 49

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no resolver link, observed 2026-08-07T05:01:23.853152Z

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source=pdf_text observed=2026-08-07T05:01:23.853152Z digest=sha256:1e2912bef67a1187b3998a7906609d2ae5ff4e87e9f94b297539df8e1446d3f4

Observation ca068a07-0511-496c-a03b-a9045ebdcd3e · inbound

ProVox: Personalization and Proactive Planning for Situated Human-Robot Collaboration cites this paper.

ProVox: Personalization and Proactive Planning for Situated Human-Robot Collaboration Fast Segment Anything

Reference 38

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no resolver link, observed 2026-08-07T01:00:28.266417Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T01:00:28.266417Z digest=sha256:55c022b3e8f8be517fe64fa358722b8c9d8619bc1694f2ada8b5670cc24f7f96

Observation 75393ee7-2daf-4843-84d5-996cc8a13e92 · inbound

DyNaVLM: Zero-Shot Vision-Language Navigation System with Dynamic Viewpoints and Self-Refining Graph Memory cites this paper.

DyNaVLM: Zero-Shot Vision-Language Navigation System with Dynamic Viewpoints and Self-Refining Graph Memory Fast Segment Anything

Reference 30

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no resolver link, observed 2026-08-15T19:48:11.860023Z

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source=pdf_text observed=2026-08-15T19:48:11.860023Z digest=sha256:d85d6afa13fcd446fdc280cd173eeebc7fef88cb7abc3a64f6a4404a711a236c

Observation 8b365f20-6304-4397-ab46-0b0f8a3e1c87 · inbound

T-Rex: Task-Adaptive Spatial Representation Extraction for Robotic Manipulation with Vision-Language Models cites this paper.

T-Rex: Task-Adaptive Spatial Representation Extraction for Robotic Manipulation with Vision-Language Models Fast Segment Anything

Reference 54

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no resolver link, observed 2026-08-06T23:12:07.220820Z

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source=pdf_text observed=2026-08-06T23:12:07.220820Z digest=sha256:c5b402589c12166959a2ca62be42d3d04f597e556313aaa3dbe3a8c5ff74810b

Observation 0f863402-eebc-4571-85b7-2e6511037a3a · inbound

SAM4D: Segment Anything in Camera and LiDAR Streams cites this paper.

SAM4D: Segment Anything in Camera and LiDAR Streams Fast Segment Anything

Reference 62

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no resolver link, observed 2026-08-06T22:28:15.753789Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:28:15.753789Z digest=sha256:72f5e4ea8b9b49dd111d4d68887b706dbb3328e7f38ff202f1e56f945187e533

Observation e365f2fe-1e37-435c-bb81-dfbd1172a0c6 · inbound

Foundation Models for Zero-Shot Segmentation of Scientific Images without AI-Ready Data cites this paper.

Foundation Models for Zero-Shot Segmentation of Scientific Images without AI-Ready Data Fast Segment Anything

Reference 28

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no resolver link, observed 2026-08-06T21:29:02.654117Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:29:02.654117Z digest=sha256:1c430329ffdab7365e200795b5190ba0ad7958b89100edc0df8cae24bb586562

Observation 8abcf81f-420f-40bf-961c-c9bb28b1f85c · inbound

LoD-Loc v2: Aerial Visual Localization over Low Level-of-Detail City Models using Explicit Silhouette Alignment cites this paper.

LoD-Loc v2: Aerial Visual Localization over Low Level-of-Detail City Models using Explicit Silhouette Alignment Fast Segment Anything

Reference 95

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no resolver link, observed 2026-08-06T21:16:48.616280Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:16:48.616280Z digest=sha256:089bfd43b98041430ef88b778e7cd5daa107e52a609a85b404be6c777bde59f0

Observation aeffcd83-2746-4f98-939c-a9e8a8d8f40a · 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 Fast Segment Anything

Reference 17

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no resolver link, observed 2026-08-06T20:40:03.833359Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-06T20:40:03.833359Z digest=sha256:cd460907d79b8d9f755838aea86e104c41b6297114be8e85ed0c9d2b174ff552

Observation a10528fa-1096-4e34-adf2-8d1bfbaa1104 · inbound

Move to Understand a 3D Scene: Bridging Visual Grounding and Exploration for Efficient and Versatile Embodied Navigation cites this paper.

Move to Understand a 3D Scene: Bridging Visual Grounding and Exploration for Efficient and Versatile Embodied Navigation Fast Segment Anything

Reference 89

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no resolver link, observed 2026-08-06T20:02:33.183289Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-06T20:02:33.183289Z digest=sha256:14143bac5cfc5e3d1935340e31aec89a9deb54b78c1d882097a43709d9630f58

Observation dd39f87b-197a-4fcb-a25c-ca16104d728f · inbound

Objectomaly: Objectness-Aware Refinement for OoD Segmentation with Structural Consistency and Boundary Precision cites this paper.

Objectomaly: Objectness-Aware Refinement for OoD Segmentation with Structural Consistency and Boundary Precision Fast Segment Anything

Reference 43

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no resolver link, observed 2026-08-06T18:44:15.439108Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:44:15.439108Z digest=sha256:ba5bf63b18357dcea1a6fa8919be2cc9c7906c99766a7bc36ad04dbb7b19d67a

Observation 376bedc6-7f21-41f6-80d0-daed2bed8379 · inbound

Learning human-to-robot handovers through 3D scene reconstruction cites this paper.

Learning human-to-robot handovers through 3D scene reconstruction Fast Segment Anything

Reference 49

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no resolver link, observed 2026-08-06T18:18:28.294064Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:18:28.294064Z digest=sha256:dac1717db88ba967507bfd034d688628aaace60348b977ce6ad8290117f0710a

Observation 97323e76-0230-4f2c-9d8b-69ce71a072c3 · inbound

Prompt Engineering in Segment Anything Model: Methodologies, Applications, and Emerging Challenges cites this paper.

Prompt Engineering in Segment Anything Model: Methodologies, Applications, and Emerging Challenges Fast Segment Anything

Reference 90

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no resolver link, observed 2026-08-06T17:56:03.848050Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-06T17:56:03.848050Z digest=sha256:ae291ed08bb27ba9f52ef0a6ecf9b8c586643f0e92c2508a60baae1fae9ff999

Observation 1615c430-3117-4967-bf83-07a15964835d · inbound

Probabilistic Human Intent Prediction for Mobile Manipulation: An Evaluation with Human-Inspired Constraints cites this paper.

Probabilistic Human Intent Prediction for Mobile Manipulation: An Evaluation with Human-Inspired Constraints Fast Segment Anything

Reference 41

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no resolver link, observed 2026-08-06T17:45:24.572649Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:45:24.572649Z digest=sha256:e6f438661f1bf17e68366679bd5c81084381b488edd25e4505453cc27bdfb54f

Observation 7f5f4971-28c1-4a93-a532-7265977a5b44 · inbound

FastSmoothSAM: A Fast Smooth Method For Segment Anything Model cites this paper.

FastSmoothSAM: A Fast Smooth Method For Segment Anything Model Fast Segment Anything

Reference 15

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no resolver link, observed 2026-08-06T15:47:41.928319Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:47:41.928319Z digest=sha256:6184c2c6e30d8d83bc0667aba9d059feceb361ae6b4fa7933fa89ae13ee489ef

Observation 040cc4e7-0b1e-4a73-87b8-1174602f0b76 · inbound

PlantSAM: An Object Detection-Driven Segmentation Pipeline for Herbarium Specimens cites this paper.

PlantSAM: An Object Detection-Driven Segmentation Pipeline for Herbarium Specimens Fast Segment Anything

Reference 46

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no resolver link, observed 2026-08-06T15:14:16.802099Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:14:16.802099Z digest=sha256:15719821b9468101ef4908d1272e5664d104446d4b280f091a8dcc808f757006

Observation 68dba973-db75-41ca-a0f1-853e4d459342 · inbound

Object-Centric Cropping for Visual Few-Shot Classification cites this paper.

Object-Centric Cropping for Visual Few-Shot Classification Fast Segment Anything

Reference 25

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no resolver link, observed 2026-08-06T10:19:04.022025Z

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source=arxiv_source observed=2026-08-06T10:19:04.022025Z digest=sha256:bde05fd7247db19f6c39f3c51c99fe73b2367833e3a67e1bc68296b03aa3bb29

Observation 01d8428b-aad9-4a7f-b137-1a619c1e4187 · inbound

Analysis of the Dick Effect for AI-based Dynamic Gravimeter cites this paper.

Analysis of the Dick Effect for AI-based Dynamic Gravimeter Fast Segment Anything

Reference 42

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no resolver link, observed 2026-08-05T16:48:51.245404Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T16:48:51.245404Z digest=sha256:22c1b8bb02de876fb222e01fbb4c9bdd921f04df7bcc9273f4718ef7079495f5

Observation 34e351ad-2916-454e-a508-60e969b055c9 · inbound

SegDINO: An Efficient Design for Medical and Natural Image Segmentation with DINO-V3 cites this paper.

SegDINO: An Efficient Design for Medical and Natural Image Segmentation with DINO-V3 Fast Segment Anything

Reference 2024

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no resolver link, observed 2026-08-05T13:14:15.339975Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T13:14:15.339975Z digest=sha256:417a2112a1b1002584da6b7f5e6b8a0e8ceef2554e3a41c93daa098506c70d94

Observation a98aa70f-585b-476f-8397-6f6fead64a2e · inbound

DreamNav: A Trajectory-Based Imaginative Framework for Zero-Shot Vision-and-Language Navigation cites this paper.

DreamNav: A Trajectory-Based Imaginative Framework for Zero-Shot Vision-and-Language Navigation Fast Segment Anything

Reference 25

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no resolver link, observed 2026-08-04T17:00:45.108564Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T17:00:45.108564Z digest=sha256:1733e3c210d005fe7c4bec909f5448c8a7c4bf5b0c9776fb275ab8a735723f75

Observation acfd8fed-06ce-4ada-b7ef-f780d263b585 · inbound

Terra: Hierarchical Terrain-Aware 3D Scene Graph for Task-Agnostic Outdoor Mapping cites this paper.

Terra: Hierarchical Terrain-Aware 3D Scene Graph for Task-Agnostic Outdoor Mapping Fast Segment Anything

Reference 19

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metadata mismatch
arxiv_id, observed 2026-05-18T13:51:25.367531Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-05-18T13:50:38.969215Z digest=sha256:77f1090bfc31725d24f24eac03dd9bd50c8ad46e0dab5166660d9eabbedfa9e7

Observation c632b109-09f9-46a0-b5fb-3513feb31e8c · inbound

AIM-CoT: Active Information-driven Multimodal Chain-of-Thought for Vision-Language Reasoning cites this paper.

AIM-CoT: Active Information-driven Multimodal Chain-of-Thought for Vision-Language Reasoning Fast Segment Anything

Reference 18

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verified exact
arxiv_id, observed 2026-05-18T13:31:24.846518Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-05-18T13:30:10.620448Z digest=sha256:22b87c7a433539949869bbfbb2ed78ccd713c7f9d7341a30cafc07cdd5b3fefa

Observation 91da0cbe-cf39-4283-a2fa-2e372d8f274c · inbound

AIM-CoT: Active Information-driven Multimodal Chain-of-Thought for Vision-Language Reasoning cites this paper.

AIM-CoT: Active Information-driven Multimodal Chain-of-Thought for Vision-Language Reasoning Fast Segment Anything

Reference 18

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no resolver link, observed 2026-08-04T13:43:01.092977Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T13:43:01.092977Z digest=sha256:38ba848e64b4983e20c113f6668a375eded1e3b8cc297c3208887aa9b6efbec9

Observation fb7c10c6-a52a-4010-b96f-426643c3716b · inbound

Active Semantic Perception cites this paper.

Active Semantic Perception Fast Segment Anything

Reference 24

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no resolver link, observed 2026-08-04T11:22:41.988309Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T11:22:41.988309Z digest=sha256:dd16506c242991757aca23719a715b5c922ea3f5240cc47014b8eee8837969eb

Observation 0033163c-8c39-41f7-aba6-1575e3f15c88 · inbound

Multi-modal video data-pipelines for machine learning with minimal human supervision cites this paper.

Multi-modal video data-pipelines for machine learning with minimal human supervision Fast Segment Anything

Reference 47

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no resolver link, observed 2026-08-04T09:33:52.786230Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T09:33:52.786230Z digest=sha256:e21972ed03d8735e9c252425e6d57f586ab3091934592d8afee701be55227ac0

Observation a14b8ba4-cf6d-4870-9fd6-5b6f74024200 · inbound

SAM-MI: A Mask-Injected Framework for Enhancing Open-Vocabulary Semantic Segmentation with SAM cites this paper.

SAM-MI: A Mask-Injected Framework for Enhancing Open-Vocabulary Semantic Segmentation with SAM Fast Segment Anything

Reference 25

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no resolver link, observed 2026-08-03T20:27:24.741185Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T20:27:24.741185Z digest=sha256:c859043544bd5cd6afed1fef03852ac34526e69f075d45ce88522e1cd6ea8f6f

Observation 1d2fa944-1f89-4015-8f96-ba3799e02b54 · inbound

OmniOVCD: Streamlining Open-Vocabulary Change Detection with SAM 3 cites this paper.

OmniOVCD: Streamlining Open-Vocabulary Change Detection with SAM 3 Fast Segment Anything

Reference 35

Resolution
verified exact
arxiv_id, observed 2026-05-16T12:52:53.301688Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-05-16T12:51:19.006683Z digest=sha256:1eb60c338951aab1f8d1d67ea896a57da47c0d36ba99dbb0d41149de952ae3e5

Observation 43547a81-86e5-42d4-9bdb-0d6ba2f72d20 · inbound

Efficient Segment Anything with Depth-Aware Fusion and Limited Training Data cites this paper.

Efficient Segment Anything with Depth-Aware Fusion and Limited Training Data Fast Segment Anything

Reference 9

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no resolver link, observed 2026-08-03T00:02:10.962607Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T00:02:10.962607Z digest=sha256:8b6f4a7290b214206dc37a5a69b63a852f192d7825cee6d8f4290eb0d76858a5

Observation 030adad5-9bb4-4ea7-a63b-240f68c88542 · inbound

Simulation-Driven Evolutionary Motion Parameterization for Contact-Rich Granular Scooping with a Soft Conical Robotic Hand cites this paper.

Simulation-Driven Evolutionary Motion Parameterization for Contact-Rich Granular Scooping with a Soft Conical Robotic Hand Fast Segment Anything

Reference 33

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metadata mismatch
arxiv_id, observed 2026-05-10T22:15:50.344355Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-05-10T20:04:06.942355Z digest=sha256:d8a5ef4c9dbc343cd796f89fa6b47578af336dbc7849d0c006170c8fab9d4237

Observation e80aab23-ce18-4853-8d70-4eb2a905bd95 · inbound

Weight Group-wise Post-Training Quantization for Medical Foundation Model cites this paper.

Weight Group-wise Post-Training Quantization for Medical Foundation Model Fast Segment Anything

Reference 29

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verified exact
arxiv_id, observed 2026-05-11T07:11:01.825383Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-05-10T17:16:25.669457Z digest=sha256:ddec717a063d0b9c86c03ee3cf6b002f35e75f28f11dbd1e8a400c2c6cd00172

Observation 3202041d-e3f1-4a70-b553-a4d68c115b5d · inbound

Boxes2Pixels: Learning Defect Segmentation from Noisy SAM Masks cites this paper.

Boxes2Pixels: Learning Defect Segmentation from Noisy SAM Masks Fast Segment Anything

Reference 41

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verified exact
arxiv_id, observed 2026-05-11T08:26:00.079077Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-05-10T16:39:20.753482Z digest=sha256:d016d3d1b7401336fc31f545137f68d95d35ef056505294c8bf2c833ad77e88c

Observation cf9fa3dc-24d7-41f2-91a3-60ecad03bec6 · inbound

H-SPAM: Hierarchical Superpixel Anything Model cites this paper.

H-SPAM: Hierarchical Superpixel Anything Model Fast Segment Anything

Reference 36

Resolution
verified exact
arxiv_id, observed 2026-05-11T10:06:02.548984Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-05-10T15:39:42.202716Z digest=sha256:9ae76e8f5e26b6debdc18b8e1f98b1edff9d75820c8c9d0aa8ee364010ea2ecb

Observation 11641987-62d8-4aa0-9429-515be7e5ed35 · inbound

Seg2Change: Adapting Open-Vocabulary Semantic Segmentation Model for Remote Sensing Change Detection cites this paper.

Seg2Change: Adapting Open-Vocabulary Semantic Segmentation Model for Remote Sensing Change Detection Fast Segment Anything

Reference 84

Resolution
verified exact
arxiv_id, observed 2026-05-11T10:36:02.844695Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-05-10T15:25:38.084033Z digest=sha256:a1f9109422f3a3edc5b7654b62ac19c2cb78a62ae95f3a0030f1c7ec75ebb814

Observation 8655fcd0-706f-4c28-9051-6af5d1805dd8 · inbound

GRAIL: Autonomous Concept Grounding for Neuro-Symbolic Reinforcement Learning cites this paper.

GRAIL: Autonomous Concept Grounding for Neuro-Symbolic Reinforcement Learning Fast Segment Anything

Reference 66

Resolution
verified exact
arxiv_id, observed 2026-05-10T07:21:55.163490Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-05-10T07:20:32.282630Z digest=sha256:0eebe79f33f33d15201a4c69f70f5ec59990132f4978e648bb871740f46443e5

Observation 55a3f923-37e9-4e35-a81b-a248783f07ea · inbound

Semantic-Fast-SAM: Efficient Semantic Segmenter cites this paper.

Semantic-Fast-SAM: Efficient Semantic Segmenter Fast Segment Anything

Reference 7

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T13:41:06.252350Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-05-10T01:13:45.407798Z digest=sha256:f2e560ea24816476b7c5fd479672032a8dad28cf627fc8a79a16fcdfb42d9119

Observation f92afd04-a5d7-4e75-ac3d-b77baeb6ee11 · inbound

StateScribe: Towards Accessible Change Awareness Across Real-World Revisits cites this paper.

StateScribe: Towards Accessible Change Awareness Across Real-World Revisits Fast Segment Anything

Reference 71

Resolution
verified exact
arxiv_id, observed 2026-05-11T21:26:12.775693Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-05-08T05:43:29.388242Z digest=sha256:40120f0af29f0caa6d60e9c2014bce67659dfc363da05d1da35de45b80ec8837

Observation 0990c0b0-a5ca-4d11-ba3f-fc185f2f04db · inbound

StateScribe: Towards Accessible Change Awareness Across Real-World Revisits cites this paper.

StateScribe: Towards Accessible Change Awareness Across Real-World Revisits Fast Segment Anything

Reference 67

Resolution
unresolved
no resolver link, observed 2026-08-02T15:33:16.208962Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T15:33:16.208962Z digest=sha256:b6d666c38a7c8508936c5c8401fb1d571732dd83aa60dee1ab33e876f8e79399

Observation aac6b7c9-c3cc-42e4-8193-f670b3d90a3a · inbound

A Real-time Scale-robust Network for Glottis Segmentation in Nasal Transnasal Intubation cites this paper.

A Real-time Scale-robust Network for Glottis Segmentation in Nasal Transnasal Intubation Fast Segment Anything

Reference 55

Resolution
metadata mismatch
arxiv_id, observed 2026-05-12T09:36:26.112469Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-05-07T10:28:59.595352Z digest=sha256:4179de75eb422868f9f0904209b56f64c3d3b652b14ec5608df4b53508d5a763

Observation d42b60fc-4eae-4fdd-975a-edd5c077df49 · inbound

FUS3DMaps: Scalable and Accurate Open-Vocabulary Semantic Mapping by 3D Fusion of Voxel- and Instance-Level Layers cites this paper.

FUS3DMaps: Scalable and Accurate Open-Vocabulary Semantic Mapping by 3D Fusion of Voxel- and Instance-Level Layers Fast Segment Anything

Reference 24

Resolution
metadata mismatch
arxiv_id, observed 2026-05-12T10:56:30.090619Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-05-07T15:47:11.780364Z digest=sha256:85bb9b330b8a7682f83b163598efa7c1c0076ee57e7d3db35685e7e78166d8e9

Observation 2fa09391-f634-47d2-82a0-b2f561f8efdb · inbound

LAGO: Language-Guided Adaptive Object-Region Focus for Zero-Shot Visual-Text Alignment cites this paper.

LAGO: Language-Guided Adaptive Object-Region Focus for Zero-Shot Visual-Text Alignment Fast Segment Anything

Reference 40

Resolution
verified exact
arxiv_id, observed 2026-05-12T01:46:14.737352Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-05-12T01:38:09.299209Z digest=sha256:0b9587f2d3e73b2e6fdd315ceb66ad402434984ecedacfae62ccf93aa060b82d

Observation 5a44a49c-fd70-44cb-a451-0d5c3e8cbf7e · inbound

OpenSGA: Efficient 3D Scene Graph Alignment in the Open World cites this paper.

OpenSGA: Efficient 3D Scene Graph Alignment in the Open World Fast Segment Anything

Reference 25

Resolution
verified exact
arxiv_id, observed 2026-05-12T05:46:26.710590Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-05-12T05:00:14.274206Z digest=sha256:9a32637314c3f1bc2017a16e11685d2e95927c3392c94e4cb81ceec4707efebe

Observation bead400a-153f-4b21-adaa-4273ab925895 · inbound

SparseSAM: Structured Sparsification of Activations in Segment Anything Models cites this paper.

SparseSAM: Structured Sparsification of Activations in Segment Anything Models Fast Segment Anything

Reference 37

Resolution
verified exact
arxiv_id, observed 2026-05-20T13:48:19.721427Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-05-20T13:45:26.106499Z digest=sha256:b3a84aadb7b3cd8a17967c321d371efba04851c12519639a46360c42fceb7f8c

Observation 273504ca-132c-4d30-a738-611aa901af34 · inbound

TinySAM 2: Extreme Memory Compression for Efficient Track Anything Model cites this paper.

TinySAM 2: Extreme Memory Compression for Efficient Track Anything Model Fast Segment Anything

Reference 35

Resolution
verified exact
arxiv_id, observed 2026-05-20T12:18:16.650430Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-05-20T12:15:10.404261Z digest=sha256:c75462be14cd4a7633616a19bfd9914c6267bec487af6b60af56e2310ced1536

Observation ffd6ee20-048c-4565-b957-19401cfc246d · inbound

P2DNav: Panorama-to-Downview Reasoning for Zero-shot Vision-and-Language Navigation cites this paper.

P2DNav: Panorama-to-Downview Reasoning for Zero-shot Vision-and-Language Navigation Fast Segment Anything

Reference 30

Resolution
metadata mismatch
arxiv_id, observed 2026-05-20T06:33:22.756377Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-05-20T06:33:14.934012Z digest=sha256:29cbec43ca1c09eb2ddbb166d7bf47fce9067381a1604742ede7e1e0db064edc

Observation ef10b953-f2e7-49bd-8b41-9719339ad774 · inbound

RepSAM: Bridging Foundation Models to Robotic Vision via Representation-Guided Adaptation cites this paper.

RepSAM: Bridging Foundation Models to Robotic Vision via Representation-Guided Adaptation Fast Segment Anything

Reference 25

Resolution
verified exact
arxiv_id, observed 2026-06-29T22:14:00.174342Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-06-29T22:06:55.455943Z digest=sha256:c4deb8736abed988c4354aafc19ded6e110b407245cda94019cecf7fbddfeb2d

Observation c8e264fb-98a6-460f-82e0-085f6d4873ca · inbound

InstructSAM: Segment Any Instance with Any Instructions cites this paper.

InstructSAM: Segment Any Instance with Any Instructions Fast Segment Anything

Reference 20

Resolution
verified exact
arxiv_id, observed 2026-06-29T22:44:02.049157Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-06-29T22:34:00.442420Z digest=sha256:3b3a4992e78a940b5efa619f748195495d9d10b96ac8f94c793658b1c52a5dba

Observation 616e5dda-995d-4122-bdba-6343f9869549 · inbound

Enabling Extensible Embodied Capabilities with Tools cites this paper.

Enabling Extensible Embodied Capabilities with Tools Fast Segment Anything

Reference 51

Resolution
metadata mismatch
arxiv_id, observed 2026-06-29T17:33:44.888923Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-06-29T17:26:35.478895Z digest=sha256:e92ceeae9cd002d73b99d39dd6621073785920230c9a4c2278421766b8daf234

Observation dce6507e-77d0-47f8-8439-fd8022438b81 · inbound

RoadGIE: Towards A Global-Scale Aerial Benchmark for Generalizable Interactive Road Extraction cites this paper.

RoadGIE: Towards A Global-Scale Aerial Benchmark for Generalizable Interactive Road Extraction Fast Segment Anything

Reference 51

Resolution
verified exact
arxiv_id, observed 2026-06-29T18:23:51.035962Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-06-29T18:15:21.221560Z digest=sha256:9fed632a59e3523af2f818fe640ee745f2f88e58d0b8664e261faa4494f381c1

Observation 7c2f7922-4742-47a1-8006-5e818a4c8bcf · inbound

Self-Supervised Online Robot-Agnostic Traversability Estimation for Open-World Environments cites this paper.

Self-Supervised Online Robot-Agnostic Traversability Estimation for Open-World Environments Fast Segment Anything

Reference 30

Resolution
metadata mismatch
arxiv_id, observed 2026-06-29T12:23:24.569881Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-06-29T12:14:46.331522Z digest=sha256:6190872dbc5c10214ad3a9154e3ae713839e4db545c8a278a3ae660f492ae875

Observation 2a9e4517-d4f9-4092-a65f-e69c4e5af406 · inbound

ESAM++: Efficient Online 3D Perception on the Edge cites this paper.

ESAM++: Efficient Online 3D Perception on the Edge Fast Segment Anything

Reference 44

Resolution
verified exact
arxiv_id, observed 2026-06-29T08:53:15.905246Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-06-29T08:49:55.148028Z digest=sha256:7376abbbbdc3d354db9caff404649397092efd382c816fe467893fbf4e2170b3

Observation 871423a5-fdee-4ec7-906d-7cd78d89ad83 · inbound

Meridian: Metric-Semantic Primitive Matching for Cross-View Geo-Localization Beyond Urban Environments cites this paper.

Meridian: Metric-Semantic Primitive Matching for Cross-View Geo-Localization Beyond Urban Environments Fast Segment Anything

Reference 10

Resolution
metadata mismatch
arxiv_id, observed 2026-07-02T13:56:59.451660Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-06-28T00:51:50.116810Z digest=sha256:c7b4e75e611b3a25b78fbb7ff6a41902f973a8750b7577089dd537308a9f1204

Observation 6463fbd9-ad89-4a0d-9a2d-71d063a83d6a · inbound

Unification of Closed-Open Industrial Detection Scenarios: New Large-Scale Benchmarks,Challenges and Baselines cites this paper.

Unification of Closed-Open Industrial Detection Scenarios: New Large-Scale Benchmarks,Challenges and Baselines Fast Segment Anything

Reference 7

Resolution
metadata mismatch
arxiv_id, observed 2026-07-02T20:47:23.187925Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-06-27T20:07:49.478014Z digest=sha256:757bef174879a440337915792b75c247fc262ab734b66bf5319c027552b479b8

Observation 100cb743-31e2-4722-9b16-9165adc7f10e · inbound

ReA-OVCD: Reliability-Aware Open-Vocabulary Change Detection via Semantic and Spatial Refinement cites this paper.

ReA-OVCD: Reliability-Aware Open-Vocabulary Change Detection via Semantic and Spatial Refinement Fast Segment Anything

Reference 17

Resolution
metadata mismatch
arxiv_id, observed 2026-07-04T03:09:29.672535Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-06-26T18:23:49.606772Z digest=sha256:044ac2edf805bc569f3079e6acf6b16c3bfac9a222dcdbaf15383c9fe63619d5

Observation acc1131c-9060-4680-a74a-f689505db81c · inbound

Curvature-aware 3D length estimation of greenhouse cucumbers using RGB-D imaging and cubic spline arc-length integration cites this paper.

Curvature-aware 3D length estimation of greenhouse cucumbers using RGB-D imaging and cubic spline arc-length integration Fast Segment Anything

Reference 30

Resolution
verified exact
arxiv_id, observed 2026-06-26T11:09:23.486721Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-06-26T11:01:59.516163Z digest=sha256:3c3fea8c87457dc17a009fbbaab26c6a89d15601672cb37a7fea81186b517d1f

Observation 55c3e423-001e-48da-a3bf-4dedc8a8abdd · inbound

HERCULES: An Open-Source Simulation Framework for Heterogeneous Multi-Robot SLAM, Collaborative Perception, and Exploration cites this paper.

HERCULES: An Open-Source Simulation Framework for Heterogeneous Multi-Robot SLAM, Collaborative Perception, and Exploration Fast Segment Anything

Reference 45

Resolution
verified exact
arxiv_id, observed 2026-07-04T10:19:47.014710Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-06-26T09:02:44.984638Z digest=sha256:7cfcf9c564ded059f9376ef141158739508865219ab27c89be2f98d0ae5411c3

Observation 3097bdd9-ca71-47c3-ab87-7e277e29db51 · inbound

Bridging Semantics and Kinematics: A Modular Framework for Zero-Shot Robotic Manipulation cites this paper.

Bridging Semantics and Kinematics: A Modular Framework for Zero-Shot Robotic Manipulation Fast Segment Anything

Reference 3

Resolution
metadata mismatch
arxiv_id, observed 2026-07-04T10:49:46.315803Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-06-26T08:28:33.173481Z digest=sha256:82f07db1e7f7e28767da0146b6f0a01be296404ddfb5d9e153f604d72a0a0fed

Observation 76c03233-93be-43c0-8b87-9c424bd22e4d · inbound

Agentic Collaborative Cognition for Zero-Shot 3D Understanding cites this paper.

Agentic Collaborative Cognition for Zero-Shot 3D Understanding Fast Segment Anything

Reference 60

Resolution
verified exact
arxiv_id, observed 2026-07-04T16:39:57.784096Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-06-26T00:22:06.082183Z digest=sha256:491b2598ce6e70792fd72b3c7302095a68f374271d1b02047ee4e280b49245d0

Observation 2482a03c-8322-47eb-b32a-2d96016b79db · inbound

Agentic Collaborative Cognition for Zero-Shot 3D Understanding cites this paper.

Agentic Collaborative Cognition for Zero-Shot 3D Understanding Fast Segment Anything

Reference 60

Resolution
verified exact
arxiv_id, observed 2026-07-04T12:59:52.630440Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-06-26T05:37:41.407624Z digest=sha256:ebff1637aefc8338944a69ed7737539a0de737fa394640c9a195883f6afae426

Observation ac5083ad-c71c-4fa9-a7eb-77670e1c65a5 · inbound

GaussLite: Online Task-Conditioned 3D Gaussian Splatting for Real-Time Robotic Mapping cites this paper.

GaussLite: Online Task-Conditioned 3D Gaussian Splatting for Real-Time Robotic Mapping Fast Segment Anything

Reference 43

Resolution
metadata mismatch
arxiv_id, observed 2026-07-01T09:45:39.768504Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-07-01T06:18:56.748064Z digest=sha256:f571c6d3174f307385a212c1c4acde7f452f639bf0ec9fda61a13f2e40449e9d