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Paper Citation Record · LEDGER

In defense of OSVOS

As of 16 August 2026, this Paper Citation Record lists 25 of 25 outbound references and 0 inbound Pith citation observations for arXiv:1908.06692.

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

pith.paper-citation-record.v1
1908.06692 v2

Coverage vector

measured 25 of 25 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-14T12:40:45.276257Z

measured 25 of 25 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

25 of 25 outbound references displayed

  • verified exact5
  • verified fuzzy12
  • unresolved8
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation d45d52d7-213e-4379-9d34-578a08c886d7 · outbound

This paper cites Cnn in mrf: Video object segmentation via inference in a cnn-based higher-order spatio-temporal mrf.

In defense of OSVOS Cnn in mrf: Video object segmentation via inference in a cnn-based higher-order spatio-temporal mrf

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:40:45.650911Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T12:40:45.169924Z digest=sha256:80fd0d7f114259e7154299f3393c538844e1b5f04fe51bb0a937cef938055c8f

Observation 629dd9a1-d5d9-4a4b-8edb-fe9ebf11e19f · outbound

This paper cites One-shot video object segmentation.

In defense of OSVOS One-shot video object segmentation

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:40:45.635258Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T12:40:45.174721Z digest=sha256:6070cfd1b8b54f369d3272f05bb7cee882b2289176350e802042f0865ae7a7c4

Observation 6214ba17-9cff-4d9d-abf6-54ffc8d32ad0 · outbound

This paper cites OpenPose: Realtime Multi-Person 2D Pose Estimation using Part Affinity Fields.

In defense of OSVOS OpenPose: Realtime Multi-Person 2D Pose Estimation using Part Affinity Fields

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-14T12:40:45.179567Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T12:40:45.179567Z digest=sha256:d39e322964758a8b353e6c5e1abc91acf274cc0af9f4a989c6e2a63f33e116a2

Observation 21b26963-77e5-450b-a5ec-93f5fafa13d7 · outbound

This paper cites Deeplab: Semantic image segmentation with deep convolutional nets, atrous convolution, and fully connected crfs.

In defense of OSVOS Deeplab: Semantic image segmentation with deep convolutional nets, atrous convolution, and fully connected crfs

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:40:45.621452Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T12:40:45.184660Z digest=sha256:13ce906e957d4a2b6305be3532c79593ca53abaecdc5bb466ea5eee625ec41dd

Observation 31623a21-c66a-4c2c-b293-6fe477a67da9 · outbound

This paper cites Blazingly fast video object segmentation with pixel-wise metric learning.

In defense of OSVOS Blazingly fast video object segmentation with pixel-wise metric learning

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:40:45.608057Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T12:40:45.189758Z digest=sha256:4f5fbf8195324880bd2f3d20ab8989ca5dd353fab956438783509800f63fb17c

Observation 2fb77764-79f0-4a29-aaf1-dd21abc3fc99 · outbound

This paper cites Segflow: Joint learning for video object segmentation and optical flow.

In defense of OSVOS Segflow: Joint learning for video object segmentation and optical flow

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:40:45.594377Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T12:40:45.194308Z digest=sha256:a95493211a7829b00aa607d961a041ce3609e09478baa27f0de13612db62fded

Observation 12d3e1a3-b1ec-4a63-a6dc-eeeaf1be14f8 · outbound

This paper cites Fast and accurate online video object segmentation via tracking parts.

In defense of OSVOS Fast and accurate online video object segmentation via tracking parts

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:40:45.580285Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T12:40:45.199150Z digest=sha256:e13a96a3bc977af4b0cc40a17f08085e9155280e4fa6c25b9639081eb22801fe

Observation ff26ee59-dc6f-4598-9b96-45d10eacc0c3 · outbound

This paper cites Semantic Instance Segmentation with a Discriminative Loss Function.

In defense of OSVOS Semantic Instance Segmentation with a Discriminative Loss Function

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-14T12:40:45.203057Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T12:40:45.203057Z digest=sha256:87556cc324a7838780a4f24d131f5a89b8760ae0e3c4dd079bc9822e66e6f82c

Observation d0720bda-a564-4aed-a287-042c76003fe7 · outbound

This paper cites Imagenet: A large-scale hierarchical image database.

In defense of OSVOS Imagenet: A large-scale hierarchical image database

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-14T12:40:45.207447Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T12:40:45.207447Z digest=sha256:d8c1a6b3132e32fe4a120937ddb784d1e27a97188a0b22185a11c3e2f559f800

Observation dc71a0b6-c55f-4662-bd42-159c0ed5faf0 · outbound

This paper cites Fast r-cnn.

In defense of OSVOS Fast r-cnn

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-14T12:40:45.211602Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T12:40:45.211602Z digest=sha256:414b92e9dd7b7416bc032052ec4e5ed52ccc3fc115dcaa2f627f2c382f617b3a

Observation afdd8284-9d0e-42b4-a70b-f6f835343dbb · outbound

This paper cites MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications.

In defense of OSVOS MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-14T12:40:45.215860Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T12:40:45.215860Z digest=sha256:554644668cd5df1e10cebec4765f9784f5c113fc3d94aba3c0e790338706dca2

Observation 779ab089-3a95-4fdd-b765-9f509f3bb63a · outbound

This paper cites Path aggregation network for instance segmentation.

In defense of OSVOS Path aggregation network for instance segmentation

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:40:45.550206Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T12:40:45.220449Z digest=sha256:c3d67ec47465c1c18040878cb78c3bd0a40368594f509d71a5e8c26528d30891

Observation 7502c6ab-cc83-46d2-b311-c1d46d9b4360 · outbound

This paper cites Learning Pairwise Relationship for Multi-object Detection in Crowded Scenes.

In defense of OSVOS Learning Pairwise Relationship for Multi-object Detection in Crowded Scenes

Reference 13

Resolution
verified exact
local_arxiv, observed 2026-08-14T12:40:45.419060Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T12:40:45.224749Z digest=sha256:4849b1181cf340b5bcc461c62cd7f4b3602a1fdcd61fa96d370a123e18be8f31

Observation 7f31dfdf-dc2b-462f-bd85-7fe1d4e1edad · outbound

This paper cites Fully convolutional networks for semantic segmentation.

In defense of OSVOS Fully convolutional networks for semantic segmentation

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-14T12:40:45.229076Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T12:40:45.229076Z digest=sha256:388a2749951df53a24643953ab4fd702e5c18acdf1131039762d9d02aaeae739

Observation 0c963b23-722a-4ca6-8e58-d146a4ac8814 · outbound

This paper cites PReMVOS: Proposal-generation, Refinement and Merging for Video Object Segmentation.

In defense of OSVOS PReMVOS: Proposal-generation, Refinement and Merging for Video Object Segmentation

Reference 15

Resolution
verified exact
local_arxiv, observed 2026-08-14T12:40:45.401255Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T12:40:45.233166Z digest=sha256:72cd2dc12c34576560a231c4916d2c57958623786d75e85858d9620a53daf92d

Observation d4f8529f-4f24-4270-bdf8-c591ae559ed2 · outbound

This paper cites Video Object Segmentation Without Temporal Information.

In defense of OSVOS Video Object Segmentation Without Temporal Information

Reference 16

Resolution
verified exact
local_arxiv, observed 2026-08-14T12:40:45.381881Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T12:40:45.237911Z digest=sha256:7bcfdf3a1e1ada9025b743b2d294c6c96ab2bb086445335e8d906696eae821f4

Observation da2e581e-2133-4a81-a291-2a99b2c15f33 · outbound

This paper cites A benchmark dataset and evaluation methodology for video object segmentation.

In defense of OSVOS A benchmark dataset and evaluation methodology for video object segmentation

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:40:45.527219Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T12:40:45.242305Z digest=sha256:9f876f5e6e53d09df16e019935de1e2ff73d9f95043b6ee94ef47f4bcaaee723

Observation 858faf3d-f2fd-495e-ac18-af54bab2f109 · outbound

This paper cites Learning video object segmentation from static images.

In defense of OSVOS Learning video object segmentation from static images

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:40:45.514046Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T12:40:45.246323Z digest=sha256:cb1e786bfe894e32ab0d9e354d9a164a69c6484c4813dba8892dc5fea1aca527

Observation 086115ad-2a7c-4b88-8f2c-5f581a82f96e · outbound

This paper cites YOLOv3: An Incremental Improvement.

In defense of OSVOS YOLOv3: An Incremental Improvement

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-14T12:40:45.250353Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T12:40:45.250353Z digest=sha256:f50c7cce4a4ed7bf7a3c8ec183d987e27e580313b05d72c475d8cc992ac3d826

Observation ac43b341-00c5-4cd2-9541-299c698445a9 · outbound

This paper cites Mask Propagation Network for Video Object Segmentation.

In defense of OSVOS Mask Propagation Network for Video Object Segmentation

Reference 20

Resolution
verified exact
local_arxiv, observed 2026-08-14T12:40:45.350107Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T12:40:45.254530Z digest=sha256:3f1041eb4db8589bbb2a0ca60fd01d42e634ca58cd6cc6242df31ab8e8bb4312

Observation 6b16e352-f583-439b-9b55-9cd8b1435b75 · outbound

This paper cites Online Adaptation of Convolutional Neural Networks for Video Object Segmentation.

In defense of OSVOS Online Adaptation of Convolutional Neural Networks for Video Object Segmentation

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-14T12:40:45.259576Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T12:40:45.259576Z digest=sha256:694d1030145b8796f105ab628c42f81393ff70b3010e11fc0033c90e395b0289

Observation 4fc2b90c-3c42-4020-8604-8526cfb167fd · outbound

This paper cites Fast Online Object Tracking and Segmentation: A Unifying Approach.

In defense of OSVOS Fast Online Object Tracking and Segmentation: A Unifying Approach

Reference 22

Resolution
verified exact
local_arxiv, observed 2026-08-14T12:40:45.316685Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T12:40:45.263890Z digest=sha256:d109815ee228ac0bedc89a8852e10a9d5614225390e85e9f8d6f3e45ec5d3d4e

Observation 30c2238f-3fc4-41ea-b575-709aaaa0378b · outbound

This paper cites Fast video object segmentation by reference-guided mask propagation.

In defense of OSVOS Fast video object segmentation by reference-guided mask propagation

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:40:45.500613Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T12:40:45.268295Z digest=sha256:0aaa41c698ccea9a362c4946fc31460b8c564f39b458c7ee49742cb6cfbd7f05

Observation 9686cb5b-c170-4022-858a-4e46872f6027 · outbound

This paper cites Holistically-nested edge detection.

In defense of OSVOS Holistically-nested edge detection

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:40:45.486756Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T12:40:45.272292Z digest=sha256:52883a8326ce8004d99c964ee2f4f6bac85511c5aa2f930929932909ea89efd8

Observation 750bce59-379b-4c7d-9851-7a78914f5bcf · outbound

This paper cites Efficient video object segmentation via network modulation.

In defense of OSVOS Efficient video object segmentation via network modulation

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:40:45.473346Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T12:40:45.276257Z digest=sha256:3bafa9c780367443b405d551b73657530cc1fcde03708d92e9da7ea12490be2c

Pith citing papers

No inbound Pith citation observations are available.