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Paper Citation Record · LEDGER

Efficient Image Annotation via Semi-Supervised Object Segmentation with Label Propagation

As of 5 August 2026, this Paper Citation Record lists 20 of 20 outbound references and 1 inbound Pith citation observation for arXiv:2604.22992.

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

pith.paper-citation-record.v1
2604.22992 v1

Coverage vector

measured 20 of 20 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-08T12:30:21.475036Z

measured 21 of 21 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-04T06:34:03.388597+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-31T15:41:39.258188Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

20 of 20 outbound references displayed

  • verified exact4
  • verified fuzzy16
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation a15713a0-d66c-4dd3-b51c-ab1f1fc5401f · outbound

This paper cites End-to-end object detection with transformers.

Efficient Image Annotation via Semi-Supervised Object Segmentation with Label Propagation End-to-end object detection with transformers

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-05-26T13:17:48.714229Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation 6b345cae-fc2a-499e-8840-0a799471bec0 · outbound

This paper cites Chimpvlm: Ethogram-enhanced chimpanzee behaviour recognition.

Efficient Image Annotation via Semi-Supervised Object Segmentation with Label Propagation Chimpvlm: Ethogram-enhanced chimpanzee behaviour recognition

Reference 2

Resolution
verified exact
doi, observed 2026-05-08T12:34:59.028024Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation 802cf0fb-a231-4b39-9eab-1adae5139bcf · outbound

This paper cites Learning Embeddings with Centroid Triplet Loss for Object Identification in Robotic Grasping.

Efficient Image Annotation via Semi-Supervised Object Segmentation with Label Propagation Learning Embeddings with Centroid Triplet Loss for Object Identification in Robotic Grasping

Reference 3

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verified fuzzy
raw_fallback, observed 2026-05-26T13:17:48.675819Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation 88438759-8c22-4158-a91e-8019a177dca5 · outbound

This paper cites ultralytics/yolov5: v7. 0-yolov5 sota realtime instance segmentation.

Efficient Image Annotation via Semi-Supervised Object Segmentation with Label Propagation ultralytics/yolov5: v7. 0-yolov5 sota realtime instance segmentation

Reference 4

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verified fuzzy
raw_fallback, observed 2026-05-26T13:17:48.655691Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-08T12:30:21.475036Z digest=sha256:44a3658f1229be97903c663997bfeb809c8183abf8159909013e9f91af035c76

Observation daa888fa-d546-4f2f-bdf2-e90fd6bde74f · outbound

This paper cites Segment anything.

Efficient Image Annotation via Semi-Supervised Object Segmentation with Label Propagation Segment anything

Reference 5

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verified fuzzy
raw_fallback, observed 2026-05-26T13:17:48.709921Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-08T12:30:21.475036Z digest=sha256:21b9ce50ff484abb3cbbaf47d2704a8f073da943447f06833e270cc0e847312c

Observation af2de0f0-cbfa-474c-8927-a50990ee4453 · outbound

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

Efficient Image Annotation via Semi-Supervised Object Segmentation with Label Propagation Mask dino: Towards a unified transformer-based framework for object detection and segmentation

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-05-26T13:17:48.665630Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-08T12:30:21.475036Z digest=sha256:154aaf79cefa6feb6e536c7d3ca0f33f2adb8766f0fc139f97d84e57a18f465f

Observation 52325b2d-3cb9-4e8a-89f2-69aa8c360fe8 · outbound

This paper cites Grounding dino: Marrying dino with grounded pre- training for open-set object detection.

Efficient Image Annotation via Semi-Supervised Object Segmentation with Label Propagation Grounding dino: Marrying dino with grounded pre- training for open-set object detection

Reference 7

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verified fuzzy
raw_fallback, observed 2026-05-26T13:17:48.682544Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-08T12:30:21.475036Z digest=sha256:218c0b0271beeb51e711855858b3ef0f288736b954d7fea1f987dbcee7981d0d

Observation 2802f265-b485-44e4-bb55-980b86cf0d4b · outbound

This paper cites RoboCup@ Home- Objects: benchmarking object recognition for home robots.

Efficient Image Annotation via Semi-Supervised Object Segmentation with Label Propagation RoboCup@ Home- Objects: benchmarking object recognition for home robots

Reference 8

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verified fuzzy
raw_fallback, observed 2026-05-26T13:17:48.698635Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation ca80f1e0-8ad0-4ff4-a00c-5e1b2730e3fb · outbound

This paper cites RoboCup@ Home: Summarizing achievements in over eleven years of competition.

Efficient Image Annotation via Semi-Supervised Object Segmentation with Label Propagation RoboCup@ Home: Summarizing achievements in over eleven years of competition

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-05-26T13:17:48.703864Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation 01200800-685e-45f2-80b8-14349baca5ff · outbound

This paper cites Adaptive Domestic Service Robotics through Foundation Models for Perception, Interaction, and Action.

Efficient Image Annotation via Semi-Supervised Object Segmentation with Label Propagation Adaptive Domestic Service Robotics through Foundation Models for Perception, Interaction, and Action

Reference 10

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verified fuzzy
raw_fallback, observed 2026-05-26T13:17:48.693130Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation d096bdd7-96f8-47bb-86db-c1b233548333 · outbound

This paper cites NimbRo@ Home 2023 Open Platform League Team Description.

Efficient Image Annotation via Semi-Supervised Object Segmentation with Label Propagation NimbRo@ Home 2023 Open Platform League Team Description

Reference 11

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verified fuzzy
raw_fallback, observed 2026-05-26T13:17:48.719534Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation 1cec78e2-ec52-47ed-8cac-6136bc72aef5 · outbound

This paper cites RoboCup@ Home 2024 OPL winner Nim- bRo: Anthropomorphic service robots using foundation models for percep- tion and planning.

Efficient Image Annotation via Semi-Supervised Object Segmentation with Label Propagation RoboCup@ Home 2024 OPL winner Nim- bRo: Anthropomorphic service robots using foundation models for percep- tion and planning

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-05-26T13:17:48.691601Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-08T12:30:21.475036Z digest=sha256:184917a0ec7f6062b9979a8d4c806db32cab67c909364a8c6d2fb1638300c1d6

Observation b6b91ea9-88fd-4b54-9e11-982988e6ae7d · outbound

This paper cites 2020.doi:10.21227/7wxn-n828.

Efficient Image Annotation via Semi-Supervised Object Segmentation with Label Propagation 2020.doi:10.21227/7wxn-n828

Reference 13

Resolution
verified exact
doi, observed 2026-05-08T12:34:59.031123Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-08T12:30:21.475036Z digest=sha256:51ea0010fefffe6774ed0625daa60e2a199b339acd94126be3d61dcea71c4016

Observation 07275146-7b50-487b-a71c-3cc888025035 · outbound

This paper cites CLUBS: An RGB-D dataset with cluttered box scenes containing household objects.

Efficient Image Annotation via Semi-Supervised Object Segmentation with Label Propagation CLUBS: An RGB-D dataset with cluttered box scenes containing household objects

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-05-26T13:17:48.640432Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-08T12:30:21.475036Z digest=sha256:898be03db4d4c341adfcc54e930de16d812bd9438fc10b4b06de6131da396ac7

Observation 3c490688-7ab6-4dbf-8bc2-2936d8c16b6b · outbound

This paper cites Leveraging vision-language models for open-vocabulary instance segmentation and tracking.

Efficient Image Annotation via Semi-Supervised Object Segmentation with Label Propagation Leveraging vision-language models for open-vocabulary instance segmentation and tracking

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-05-26T13:17:48.670648Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-08T12:30:21.475036Z digest=sha256:a99a3b4607cdb7a2421b02e7f99329bb6adaf184b29c82beb44d9f06978f07a7

Observation e2a920ee-2c1a-4c10-a377-6fdc83f57ed5 · outbound

This paper cites Learning transferable visual models from natural language supervision.

Efficient Image Annotation via Semi-Supervised Object Segmentation with Label Propagation Learning transferable visual models from natural language supervision

Reference 16

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verified fuzzy
raw_fallback, observed 2026-05-26T13:17:48.644984Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation cdfc9fc3-2877-4386-88be-11aa63b9e307 · outbound

This paper cites Hopfield Networks is All You Need.

Efficient Image Annotation via Semi-Supervised Object Segmentation with Label Propagation Hopfield Networks is All You Need

Reference 17

Resolution
verified exact
arxiv_id, observed 2026-05-17T05:48:07.671009Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation 181c552a-0578-4513-8992-5c66a83521f3 · outbound

This paper cites Theia: Distilling Diverse Vision Foundation Models for Robot Learning.

Efficient Image Annotation via Semi-Supervised Object Segmentation with Label Propagation Theia: Distilling Diverse Vision Foundation Models for Robot Learning

Reference 18

Resolution
verified exact
arxiv_id, observed 2026-05-11T19:16:07.173665Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation 7baab2b2-260a-46c7-9e3a-aaa337fee1e9 · outbound

This paper cites 6-dof pose estimation of household objects for robotic manipulation: An accessible dataset and benchmark.

Efficient Image Annotation via Semi-Supervised Object Segmentation with Label Propagation 6-dof pose estimation of household objects for robotic manipulation: An accessible dataset and benchmark

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-05-26T13:17:48.686833Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation 9e383cd8-c055-42b4-bc02-b2acee5270d0 · outbound

This paper cites Detecting twenty-thousand classes using image-level supervision.

Efficient Image Annotation via Semi-Supervised Object Segmentation with Label Propagation Detecting twenty-thousand classes using image-level supervision

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-05-26T13:17:48.651926Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-08T12:30:21.475036Z digest=sha256:b25d472d25bac78b5322b546c7f98ba0de3bc566e8463f127f26a80f8c6c577a

Pith citing papers

Observation fe87e11f-5552-4724-a0a5-a4eef250efbb · inbound

Semi-supervised Hopfield model: Theoretical and Numerical results cites this paper.

Semi-supervised Hopfield model: Theoretical and Numerical results Efficient Image Annotation via Semi-Supervised Object Segmentation with Label Propagation

Reference 50

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no resolver link, observed 2026-07-31T15:41:39.258188Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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