Paper Citation Record · LEDGER

Measure Anything: Real-time, Multi-stage Vision-based Dimensional Measurement using Segment Anything

As of 19 August 2026, this Paper Citation Record lists 38 of 38 outbound references and 1 inbound Pith citation observation for arXiv:2412.03472.

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

pith.paper-citation-record.v1
2412.03472 v1

Coverage vector

measured 38 of 38 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T22:27:46.521620Z

measured 39 of 39 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-01T20:35:49.119589Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

38 of 38 outbound references displayed

verified exact0
verified fuzzy24
unresolved14
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation af960673-c551-4ddd-af59-abe32561bff0 · outbound

This paper cites Segment Anything.

Measure Anything: Real-time, Multi-stage Vision-based Dimensional Measurement using Segment Anything Segment Anything

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-11T22:27:46.406389Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5162c350-245e-4432-85b8-89ac6df01cd4 · outbound

This paper cites SAM 2: Segment Anything in Images and Videos.

Measure Anything: Real-time, Multi-stage Vision-based Dimensional Measurement using Segment Anything SAM 2: Segment Anything in Images and Videos

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-11T22:27:46.413005Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0cb2a4b1-ce41-49f9-9d8f-a69a75cf1f06 · outbound

This paper cites Stem diameter variations as a versatile research tool in ecophysiology.

Measure Anything: Real-time, Multi-stage Vision-based Dimensional Measurement using Segment Anything Stem diameter variations as a versatile research tool in ecophysiology

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:27:46.830777Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation ba179860-c14b-4f03-a751-c1677f00a8c0 · outbound

This paper cites P-agslam: In-row and under-canopy slam for agricultural monitoring in cornfields.

Measure Anything: Real-time, Multi-stage Vision-based Dimensional Measurement using Segment Anything P-agslam: In-row and under-canopy slam for agricultural monitoring in cornfields

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:27:46.821866Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation a15c2a66-ffc9-4e49-937c-9dbd89ff8cd1 · outbound

This paper cites Rgb-d salient object detection: A survey.

Measure Anything: Real-time, Multi-stage Vision-based Dimensional Measurement using Segment Anything Rgb-d salient object detection: A survey

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:27:46.812565Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation ac581956-d8dd-474d-b11f-c86d6f8309c1 · outbound

This paper cites Development of structured light 3d-scanner with high spatial resolution and its applications for additive manufacturing qual- ity assurance.

Measure Anything: Real-time, Multi-stage Vision-based Dimensional Measurement using Segment Anything Development of structured light 3d-scanner with high spatial resolution and its applications for additive manufacturing qual- ity assurance

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:27:46.803369Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 1d43c86b-fc3a-4cd0-a14e-42ea9654b595 · outbound

This paper cites Measurement meth- ods of 3d shape of large-scale complex surfaces based on computer vision: A review.

Measure Anything: Real-time, Multi-stage Vision-based Dimensional Measurement using Segment Anything Measurement meth- ods of 3d shape of large-scale complex surfaces based on computer vision: A review

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:27:46.794011Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 94a4ad35-bb58-4944-8ce8-7b43a9493485 · outbound

This paper cites Fruit detection, segmentation and 3d visualisation of environments in apple orchards.

Measure Anything: Real-time, Multi-stage Vision-based Dimensional Measurement using Segment Anything Fruit detection, segmentation and 3d visualisation of environments in apple orchards

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:27:46.784580Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation b13f7af6-2957-46cc-a258-24059ad9ca4a · outbound

This paper cites On-tree apple fruit size estimation using stereo vision with deep learning-based occlusion handling.

Measure Anything: Real-time, Multi-stage Vision-based Dimensional Measurement using Segment Anything On-tree apple fruit size estimation using stereo vision with deep learning-based occlusion handling

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:27:46.775848Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 216a1131-c13f-4071-836b-59c69e764d33 · outbound

This paper cites Length phenotyping with interest point detection.

Measure Anything: Real-time, Multi-stage Vision-based Dimensional Measurement using Segment Anything Length phenotyping with interest point detection

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:27:46.766943Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 3520e14a-72b5-4c61-8d62-0baea4248172 · outbound

This paper cites Measuring stem diameter of sorghum plants in the field using a high-throughput stereo vision system.

Measure Anything: Real-time, Multi-stage Vision-based Dimensional Measurement using Segment Anything Measuring stem diameter of sorghum plants in the field using a high-throughput stereo vision system

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:27:46.758020Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation a7fcabc5-fda1-4a71-8a51-c484d10187c2 · outbound

This paper cites Mask r-cnn.

Measure Anything: Real-time, Multi-stage Vision-based Dimensional Measurement using Segment Anything Mask r-cnn

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-11T22:27:46.442328Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cfc87715-6dfa-4cdb-bbb0-cce3dfe7e746 · outbound

This paper cites Stereo processing by semiglobal matching and mutual information.

Measure Anything: Real-time, Multi-stage Vision-based Dimensional Measurement using Segment Anything Stereo processing by semiglobal matching and mutual information

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:27:46.744872Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation e6145079-2ddd-49c9-badf-f76799f252f0 · outbound

This paper cites Computer-vision-based sensing technologies for livestock body dimension measurement: A survey.

Measure Anything: Real-time, Multi-stage Vision-based Dimensional Measurement using Segment Anything Computer-vision-based sensing technologies for livestock body dimension measurement: A survey

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:27:46.736396Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 119ca343-5c71-46c8-9768-0d1374d78649 · outbound

This paper cites Image analysis and com- puter vision applications in animal sciences: an overview.

Measure Anything: Real-time, Multi-stage Vision-based Dimensional Measurement using Segment Anything Image analysis and com- puter vision applications in animal sciences: an overview

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:27:46.727157Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation a762807a-5f71-4d51-a629-b1939206170f · outbound

This paper cites Robotic grasping and contact: A review.

Measure Anything: Real-time, Multi-stage Vision-based Dimensional Measurement using Segment Anything Robotic grasping and contact: A review

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:27:46.718055Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation ee7aee4a-e122-4204-8cab-2d29e7c4980a · outbound

This paper cites Comprehensive review on reaching and grasping of objects in robotics.

Measure Anything: Real-time, Multi-stage Vision-based Dimensional Measurement using Segment Anything Comprehensive review on reaching and grasping of objects in robotics

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-11T22:27:46.457085Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a15683f7-8dae-4e6e-86bf-739cf3a8cfb5 · outbound

This paper cites State-of-the-art robotic grippers, grasping and control strategies, as well as their applications in agricultural robots: A review.

Measure Anything: Real-time, Multi-stage Vision-based Dimensional Measurement using Segment Anything State-of-the-art robotic grippers, grasping and control strategies, as well as their applications in agricultural robots: A review

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:27:46.704638Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 0058b5e3-ae3d-4618-9044-1837d3d8a767 · outbound

This paper cites Vision- based robotic grasping from object localization, object pose estimation to grasp estimation for parallel grippers: a review.

Measure Anything: Real-time, Multi-stage Vision-based Dimensional Measurement using Segment Anything Vision- based robotic grasping from object localization, object pose estimation to grasp estimation for parallel grippers: a review

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:27:46.695157Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 1eb2077f-4c3a-4823-ade4-138ed9dcdc80 · outbound

This paper cites A vision-based robot grasping system.

Measure Anything: Real-time, Multi-stage Vision-based Dimensional Measurement using Segment Anything A vision-based robot grasping system

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:27:46.685595Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 4761dc98-c5c9-4ace-bbe7-1529a05d7369 · outbound

This paper cites Graspnet- 1billion: A large-scale benchmark for general object grasping.

Measure Anything: Real-time, Multi-stage Vision-based Dimensional Measurement using Segment Anything Graspnet- 1billion: A large-scale benchmark for general object grasping

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-11T22:27:46.468843Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fdf8037b-1e7d-4e07-a9a3-fa19765e2aa1 · outbound

This paper cites Graspness discovery in clutters for fast and accurate grasp detection.

Measure Anything: Real-time, Multi-stage Vision-based Dimensional Measurement using Segment Anything Graspness discovery in clutters for fast and accurate grasp detection

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-11T22:27:46.471886Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 15bc3305-24cd-4c4b-84e0-56a48ead71be · outbound

This paper cites Anygrasp: Robust and efficient grasp perception in spatial and temporal domains.

Measure Anything: Real-time, Multi-stage Vision-based Dimensional Measurement using Segment Anything Anygrasp: Robust and efficient grasp perception in spatial and temporal domains

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-11T22:27:46.474718Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bcdb0734-f4c0-40be-9164-787f8f3b9a48 · outbound

This paper cites Image segmentation using deep learning: A survey.

Measure Anything: Real-time, Multi-stage Vision-based Dimensional Measurement using Segment Anything Image segmentation using deep learning: A survey

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-11T22:27:46.477924Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b0a8ce11-f3a6-4af5-812a-fa7076e02471 · outbound

This paper cites Fully convo- lutional networks for semantic segmentation.

Measure Anything: Real-time, Multi-stage Vision-based Dimensional Measurement using Segment Anything Fully convo- lutional networks for semantic segmentation

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-11T22:27:46.480943Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d7f5be19-1013-4ee1-9062-83882922e705 · outbound

This paper cites Learning deconvolution network for semantic segmentation.

Measure Anything: Real-time, Multi-stage Vision-based Dimensional Measurement using Segment Anything Learning deconvolution network for semantic segmentation

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:27:46.655074Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 983f04be-da5e-41b0-93ae-8c03693c08c7 · outbound

This paper cites Segnet: A deep convolutional encoder-decoder architecture for image segmenta- tion.

Measure Anything: Real-time, Multi-stage Vision-based Dimensional Measurement using Segment Anything Segnet: A deep convolutional encoder-decoder architecture for image segmenta- tion

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:27:46.646015Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 23c82248-4665-4004-b80e-ecfe51324e8a · outbound

This paper cites U-net: Con- volutional networks for biomedical image segmentation.

Measure Anything: Real-time, Multi-stage Vision-based Dimensional Measurement using Segment Anything U-net: Con- volutional networks for biomedical image segmentation

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-11T22:27:46.489958Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d6d72241-5c16-45d3-9a79-6e5776132cae · outbound

This paper cites 3d u-net: learning dense volumetric segmen- tation from sparse annotation.

Measure Anything: Real-time, Multi-stage Vision-based Dimensional Measurement using Segment Anything 3d u-net: learning dense volumetric segmen- tation from sparse annotation

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:27:46.632790Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 95dab0c6-29dd-4940-b66c-ca5852f251e6 · outbound

This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.

Measure Anything: Real-time, Multi-stage Vision-based Dimensional Measurement using Segment Anything An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-11T22:27:46.496164Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 521f9fe9-3e0d-4a50-9f25-0fec1793a955 · outbound

This paper cites End-to-end object detec- tion with transformers.

Measure Anything: Real-time, Multi-stage Vision-based Dimensional Measurement using Segment Anything End-to-end object detec- tion with transformers

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:27:46.623743Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 5ccfc660-5e0e-49dd-a4f9-558bd5596c0a · outbound

This paper cites Mask dino: Towards a unified transformer-based framework for object detection and segmentation.

Measure Anything: Real-time, Multi-stage Vision-based Dimensional Measurement using Segment Anything Mask dino: Towards a unified transformer-based framework for object detection and segmentation

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:27:46.614459Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 24bbd02d-8297-4bc5-95b4-80563d8b68e1 · outbound

This paper cites A transformation for extracting new descriptions of shape.

Measure Anything: Real-time, Multi-stage Vision-based Dimensional Measurement using Segment Anything A transformation for extracting new descriptions of shape

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-11T22:27:46.505520Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e2962332-ddb2-477e-a5d5-5eac77f994a1 · outbound

This paper cites mBEST: Realtime Deformable Linear Object Detection Through Minimal Bending Energy Skeleton Pixel Traversals.

Measure Anything: Real-time, Multi-stage Vision-based Dimensional Measurement using Segment Anything mBEST: Realtime Deformable Linear Object Detection Through Minimal Bending Energy Skeleton Pixel Traversals

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-11T22:27:46.508627Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 41edb10d-7b82-4cfb-a66d-0a987ef52331 · outbound

This paper cites Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection.

Measure Anything: Real-time, Multi-stage Vision-based Dimensional Measurement using Segment Anything Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-11T22:27:46.512105Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 484a72b9-5151-47c1-8a84-81feb97b68ef · outbound

This paper cites Clubs: An rgb-d dataset with cluttered box scenes containing household objects.

Measure Anything: Real-time, Multi-stage Vision-based Dimensional Measurement using Segment Anything Clubs: An rgb-d dataset with cluttered box scenes containing household objects

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:27:46.601065Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 574ca2c2-6ab2-4fca-9f9f-4eb66d068fd3 · outbound

This paper cites Mvgrasp: Real- time multi-view 3d object grasping in highly cluttered environments.

Measure Anything: Real-time, Multi-stage Vision-based Dimensional Measurement using Segment Anything Mvgrasp: Real- time multi-view 3d object grasping in highly cluttered environments

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:27:46.592113Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 6393049f-0241-43d7-8767-840a78752557 · outbound

This paper cites On the closure properties of robotic grasping.

Measure Anything: Real-time, Multi-stage Vision-based Dimensional Measurement using Segment Anything On the closure properties of robotic grasping

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:27:46.580698Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Pith citing papers

Observation 88efd7ad-21a4-4974-8e72-48a4f30077b6 · inbound

Digital measurement of droplet flame diameter in microgravity combustion images using Segment Anything Model 2 with automatic prompt selection cites this paper.

Digital measurement of droplet flame diameter in microgravity combustion images using Segment Anything Model 2 with automatic prompt selection Measure Anything: Real-time, Multi-stage Vision-based Dimensional Measurement using Segment Anything

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-01T20:35:49.119589Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.