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Paper Citation Record · LEDGER

Fast Segment Anything

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 78 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 78 of 78 standing notices

One-hop event checks from named stored sources.

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

measured 78 of 78 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:31:00.906613Z

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

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  • verified fuzzy0
  • unresolved0
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  • 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

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

source=pdf_text observed=2026-05-17T22:41:43.411128Z digest=sha256:a86b3bd8f192fba0e1dad99c2ee155c8c0f518a20cbeb60764d7cf80c1d2edb4

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

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

source=pdf_text observed=2026-05-23T19:42:24.122342Z digest=sha256:cf9418c410a8b694d12514018c71c3ca888ce5476aaef40ac2420cd992ed6c66

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

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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=sha256:9c80578a9a74ccc864dee760d4e76409dfd322a76459299b95d2c1764b2c33b2

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

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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=sha256:26aa126a79113ec0312eafec1c05065fda2581757cc7a9cabb3c6237dee0ae7d

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

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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=sha256:2f140e49538642244d15895631d14be5ede5c1e6033f042162c1df83af0e3a28

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

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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=sha256:69855ee7eee3af5c6f738a97843c2e2cc409b11b340babe700d38d3799623e34

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

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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:b29c87328bcc97875e0a4351e2bc2e0c7c8706107f342b65822ed122aef6d542

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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no resolver link, observed 2026-08-07T10:28:14.704495Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:28:14.704495Z digest=sha256:4dbe8552dd49e1ea23a4eac909bc2c8b3ae03c4b06766d0fad6c5013bb066413

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:58:05.474095Z digest=sha256:d4824ade45753fa7926ef222868c2958ba921a771286fabd8ead680d80b768ed

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:51:22.850799Z digest=sha256:46d5c82d31a8d0f08b2b56193eaf952107ffa128b7eb3015a1d1b6c642a9c9cf

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:51:44.431102Z digest=sha256:13545fac6e380be7e21bbedf4c9b4106955f5aaccfe2d50daa06aa8f93e8555d

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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no resolver link, observed 2026-08-07T04:47:07.604346Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:47:07.604346Z digest=sha256:a7cad4210e941a1f1b81eaf0befcd8692ca1dcb60595071107b627ea15d447c0

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:01:23.853152Z digest=sha256:6ce9251a290a1b2e77275c9f9e2ef6147e474d6b3974805e74131db96ff4e866

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

Resolution
unresolved
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=sha256:18fe3a9f0db2aa6c549cb421700e84d4a9e497c46102eef6cd4eeeb0b40a4c6a

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:12:07.220820Z digest=sha256:5108a5e59fad64cfebd99aae191977fd67433c952a36746e5b393d50f309e3c2

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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unresolved
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:c6c7467481a123ff914312f5efee6805016874ea95e1bd2a3aed7d2f8e17cd40

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:29:02.654117Z digest=sha256:f8c3b5bc31c86c85f7af10ccc57cc208ac2579a5541150158ccd3114af3167bc

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

Resolution
unresolved
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:ac116c5812aedab5b943ada8c93c6a3bb782168dcaddf7ddacef55b5030ae385

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:40:03.833359Z digest=sha256:57210c9bc7c52f1fb1761132bd782487acdbaec0b533e4992beb942af8a3ca6a

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

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:02:33.183289Z digest=sha256:625da61884f2c410210d970e8eae728c46bc897dd5f092b77edf7d994f42279b

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:44:15.439108Z digest=sha256:58fa994c3c222cfa7903de19c603aeba018bfd90e49233ae2631a88a98244536

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

Resolution
unresolved
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:a7e294e72e45147bb98de060d8cea08e2ea24ea5e8a00065ca772351650d559e

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

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:56:03.848050Z digest=sha256:e34f746501ffc388faf4be0a21147db4459cb0c2566b9111a42f1c972d7aa3db

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:45:24.572649Z digest=sha256:7027b085dd6f35bf058d2f03ffb70a1e4636943705977fe28b527bd23f67f7fa

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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unresolved
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=sha256:692b709fde4fac3decae156a7f9352ab547067b9274e8453b499be3652e229a2

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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unresolved
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=sha256:1d87627977e42ef61817692cd53ed59e23f868d88305a4a4cd0a321401d02ca1

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T10:19:04.022025Z digest=sha256:1134e46b1f3779e9f761bce49362f6a801afe298750ab00172f908794b972ce8

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

Resolution
unresolved
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=sha256:8ab594c662f76dd1b89b0eae3e9b0338fbe1de707a40f3d4971c57a23e2be3d8

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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unresolved
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=sha256:2c52e779e09a8519dc136bae10358d0764c96de6c115aec746a58bbfe3b3f6d1

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

Resolution
unresolved
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:f18adfc924d493cd287cfcf626a15fd0895f5872962b34669588c3fd4d4c1d0e

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

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

source=pdf_text observed=2026-05-18T13:50:38.969215Z digest=sha256:0a043a0a253ebedcc1b17721b0e7cd2edc6b2128ff89b18823fe3ecf8410457d

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

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

source=pdf_text observed=2026-05-18T13:30:10.620448Z digest=sha256:d168e19ff42d9a050607d6814939314a592f6b46ec10a0aea747d0a9b0052096

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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unresolved
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:de12f71124568c3614b1516bec316d3de9f7e5eb2cc4bff2684940fa52c23aea

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

Active Semantic Perception cites this paper.

Active Semantic Perception Fast Segment Anything

Reference 24

Resolution
unresolved
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=sha256:1b45f84339a32964a7e66cb8a3ff6253f1feac04af645986ce359c914830622c

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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unresolved
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=sha256:9a1861134b5682afd31afadcebd2a3475d2a7b86ee7ca6257517af1fc24091c3

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

Resolution
unresolved
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=sha256:79e63ecbb2282a18b76f123db351c14215b9b18667cd304db605f0ec0389e5e9

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

source=pdf_text observed=2026-05-16T12:51:19.006683Z digest=sha256:f7af89b7d724037a17024fb79992d649cf8690d382c9073855f6729259381ab5

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

Resolution
unresolved
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=sha256:624916656bfcaf5cb852486c4067546021c470684ba5d5149d90b1e3abca4110

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

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

source=pdf_text observed=2026-05-10T20:04:06.942355Z digest=sha256:03e583cf9ccbc1a2bb10950c7bf21cf5a6d9575d6b090759d99d99087b7b84c8

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

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

source=pdf_text observed=2026-05-10T17:16:25.669457Z digest=sha256:65ed1291dbe9ca16bb3080235e1f6b33286bc260d56b6e28e2e0c6f0fe5ee342

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

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

source=pdf_text observed=2026-05-10T16:39:20.753482Z digest=sha256:ac8982d63f576b23b1f3b5c185bcdf9c50ff95bafc6fe6ed2cfa1c1b75192456

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

source=pdf_text observed=2026-05-10T15:39:42.202716Z digest=sha256:a75b985d2df9024c830075e363c09fa8e7636f33b2e322cb1d095cb8fbe99c39

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

source=pdf_text observed=2026-05-10T15:25:38.084033Z digest=sha256:9aeac5da951fc4cf19d1ab68e2372a22ea4df8c2b7de36a22254825bf73dec29

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

source=pdf_text observed=2026-05-10T07:20:32.282630Z digest=sha256:d65055206a45acfd3a413aa7eebda11d0c2ca2723490f0a8f4d2a001c7c6878b

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

source=pdf_text observed=2026-05-10T01:13:45.407798Z digest=sha256:6d82f72a2873e42f1c8a3087a81e125410f753a7c4a1f56ce66eb5c12a270ff5

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

source=pdf_text observed=2026-05-08T05:43:29.388242Z digest=sha256:77f0e511b3833c96af83db8bea7eed227f633234e4c91c3733244af335646462

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=sha256:659fa0b7a4e2ced00ca4f3cddd8f6cb66e19b5c0b776f34709b714e5147af0e0

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

source=pdf_text observed=2026-05-07T10:28:59.595352Z digest=sha256:7b934e381a4c44d8afa25148e16a612fa7fbf8c88d5111abba4d3a46bc15ae1f

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

source=pdf_text observed=2026-05-07T15:47:11.780364Z digest=sha256:59c7db3ec20830eda7dfdeab75836e607f276255408d846bbaa5b80a7a1ba2e6

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

source=pdf_text observed=2026-05-12T01:38:09.299209Z digest=sha256:72622d540495e978b8cf925edf228ab5d3f6c0b0716e7f693e00ce543b39b3b1

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

source=arxiv_source observed=2026-05-12T05:00:14.274206Z digest=sha256:e1364a801d067acb3992b37402b4c345cd47d2f1af74b7a0af8d709cff1f4079

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

source=pdf_text observed=2026-05-20T13:45:26.106499Z digest=sha256:46c8b880df1f2269840f5832596da9352c0ece5d5f9f1b0811c9cfc56aabbdee

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

source=pdf_text observed=2026-05-20T12:15:10.404261Z digest=sha256:c742840a26257453ae77da56517cf870541949a019801e650930123cb105dd49

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

source=pdf_text observed=2026-05-20T06:33:14.934012Z digest=sha256:bbcd193260824d2cc586d804354ca0862e116666f9c62667d4a99ce41d156a34

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

source=pdf_text observed=2026-06-29T22:06:55.455943Z digest=sha256:46e1634458b17c2b9418cbcf7812932f57edee08c69fe041f51b46516ca95b0e

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

source=pdf_text observed=2026-06-29T22:34:00.442420Z digest=sha256:eae34613579eca15f733a90a49cd4604c151fd9a8a3ab372694b761cc0cdced4

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

source=pdf_text observed=2026-06-29T17:26:35.478895Z digest=sha256:7d6b0dcf50e67e5479ad0d6e31cae6d4deb974f94931d272894e12f9fc60f290

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

source=pdf_text observed=2026-06-29T18:15:21.221560Z digest=sha256:da2d92e2e0a9db2cbe9771dc90f414d785083ae56c24f8b66e890c89d5e8397c

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

source=pdf_text observed=2026-06-29T12:14:46.331522Z digest=sha256:47ae690240b94b7fb5db1815ce87357a58aa8bbbcf248dee396effd5798f0d17

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

source=pdf_text observed=2026-06-29T08:49:55.148028Z digest=sha256:fd85b8e1045d27d6a3ee37af57d8593d8e0e180d00f3a0daac324e0209260ae8

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

source=pdf_text observed=2026-06-28T00:51:50.116810Z digest=sha256:13a11de4d86c8c46f98bf0ddea59b9c9707d30d433d36d159199288fa3b9f970

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

source=pdf_text observed=2026-06-27T20:07:49.478014Z digest=sha256:86db0aa2e99ca2b611f073575bceb3def085699e13db215d7b4820ecd0d6302d

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

source=pdf_text observed=2026-06-26T18:23:49.606772Z digest=sha256:d01332c4565d10806ccbd53b5616ea7ecd51adbb080923d0f04317cc0ff0a190

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

source=pdf_text observed=2026-06-26T11:01:59.516163Z digest=sha256:791989511fe140af5a3685b8d2e126782138d9ab77f3866a151b8461b75f2d6d

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

source=arxiv_source observed=2026-06-26T09:02:44.984638Z digest=sha256:4db4cd1a278aeb363a361f3dc435169ac766605f91c7ed18fb61e7edbd764ac8

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

source=pdf_text observed=2026-06-26T08:28:33.173481Z digest=sha256:ae7319f3f3ce5b243e43f6d99de053aff31af9c953562e3e8e7b9e096623f91a

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

source=pdf_text observed=2026-06-26T00:22:06.082183Z digest=sha256:9a398db73fc99724000a8d3542850e4292e6a25d5d05bf5f91bd162a292f2807

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

source=pdf_text observed=2026-06-26T05:37:41.407624Z digest=sha256:c14e8ab1e026d91ff65e76fcf5b1cb283e84cedf1057a3fa8392f6d05fb1237c

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

source=pdf_text observed=2026-07-01T06:18:56.748064Z digest=sha256:1f2706f82c84b2c29092271ebc86e15898058ca00e5319fe7cb825bce3c676ee

Observation 610b5631-3eae-42a2-bf0d-a908de40fb8a · inbound

Rethinking Foundation Model Collaboration: Enhancing Specialized Models through Proxy Task Reasoning cites this paper.

Rethinking Foundation Model Collaboration: Enhancing Specialized Models through Proxy Task Reasoning Fast Segment Anything

Reference 31

Resolution
metadata mismatch
arxiv_id, observed 2026-07-01T06:45:29.785824Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-07-01T06:38:44.170473Z digest=sha256:bda9f797af237cf8efca094eead0a5cd600376e9b90d56e028b19bdf74bfca7f

Observation b7bbdb96-c0d4-4e07-8900-6391963b2a71 · inbound

MV-GEL: Language-Driven Multi-View Geometric Entity Localization on Meshes cites this paper.

MV-GEL: Language-Driven Multi-View Geometric Entity Localization on Meshes Fast Segment Anything

Reference 53

Resolution
verified exact
arxiv_id, observed 2026-07-01T10:05:40.466705Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-07-01T05:56:47.849311Z digest=sha256:b4360cb07b537f383f78d0c42f9917083a090f617c754c558be5b282b4cde65f

Observation 2f1eb37a-ce2b-4b4b-91d9-f4147e844143 · inbound

MV-GEL: Language-Driven Multi-View Geometric Entity Localization on Meshes cites this paper.

MV-GEL: Language-Driven Multi-View Geometric Entity Localization on Meshes Fast Segment Anything

Reference 53

Resolution
unresolved
no resolver link, observed 2026-08-02T09:23:10.536759Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T09:23:10.536759Z digest=sha256:a9b9619705ec77454820a24d0688228e1f38fa4e3956e7a554b98f5fe986699a

Observation 98e24de7-b329-49c4-b78d-32c7a2d771fb · inbound

Segmenting, Fast and Slow: Real-Time Open-Vocabulary Video Instance Segmentation with Dual-Path Processing cites this paper.

Segmenting, Fast and Slow: Real-Time Open-Vocabulary Video Instance Segmentation with Dual-Path Processing Fast Segment Anything

Reference 52

Resolution
verified exact
arxiv_id, observed 2026-07-02T19:57:19.172118Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-07-02T19:50:22.006865Z digest=sha256:1e9c0e5b7eb2ef1bced1f39b5e6f413a3a710162043d6551ef89a0e301d81bd5

Observation 1db77851-2c53-4e33-af7d-f4e3586a12fa · inbound

TestMate: Test-Time Domain Adaptation Aided by Lightweight Vision Foundation Model cites this paper.

TestMate: Test-Time Domain Adaptation Aided by Lightweight Vision Foundation Model Fast Segment Anything

Reference 44

Resolution
unresolved
no resolver link, observed 2026-07-11T23:48:25.354479Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-11T23:48:25.354479Z digest=sha256:dc8a248306fb16475968bcca33dfda342f610f87f3d43af123a0b564f55a2c87

Observation eadad0f7-a4e4-4300-af09-5446dcbaf260 · inbound

MuViSeg: Multi-View Segment Correspondences from Dense Geometry Priors cites this paper.

MuViSeg: Multi-View Segment Correspondences from Dense Geometry Priors Fast Segment Anything

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-01T16:38:20.144722Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T16:38:20.144722Z digest=sha256:6e7a9aedf0fd44a9f1f551cff30744484ee3e3558efed7efa787a6b1f50d794e

Observation 0d8451d8-7b17-4eac-94ea-e9a7210318ff · inbound

Lean-SAM2: Target-Anchored Memory and Encoder Acceleration for SAM2 cites this paper.

Lean-SAM2: Target-Anchored Memory and Encoder Acceleration for SAM2 Fast Segment Anything

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-01T11:43:13.566960Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T11:43:13.566960Z digest=sha256:990bd6962fb082a0941f3633e1cd24adb5d422729fa9c6c93bb5c09a6aee0bc4

Observation 1fd534bc-3c09-48e6-bfef-535612d4103f · inbound

AtlasLC: Fast Codec-Ready Compression of Object-Centric 3D Gaussian Splatting cites this paper.

AtlasLC: Fast Codec-Ready Compression of Object-Centric 3D Gaussian Splatting Fast Segment Anything

Reference 2023

Resolution
unresolved
no resolver link, observed 2026-08-01T14:03:58.869870Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T14:03:58.869870Z digest=sha256:6832604d8e6c34d78ecc795262ddee2ea132d773a90f585c616198d51b762ab3

Observation f6bf4b11-dd0b-4ea7-9827-b7888a778cc7 · inbound

From Transparent Labware Segmentation to Collision Avoidance: A Real-Time Edge-Aware Perception Pipeline cites this paper.

From Transparent Labware Segmentation to Collision Avoidance: A Real-Time Edge-Aware Perception Pipeline Fast Segment Anything

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-06T17:06:30.281648Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:06:30.281648Z digest=sha256:03fd798d53a951a747bb42a4c4b44258909614087d2dcb1ce915c53de7dd357b