Pith. sign in

Paper Citation Record · LEDGER

In defense of OSVOS

As of 22 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 2026-08-21T06:32:19.484+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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-14T12:40:45.169924Z digest=sha256:90503fa9ca2c5c5cf661ba870f35f7a3be631740c3de8b20aba04252fb1119b6

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-14T12:40:45.174721Z digest=sha256:365eec15e691e7c3f18048e8f0a7b00068d23af2b1b9873bce9bd6c083e7cbbb

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=sha256:1f0f885fe8c691aa4b69179ef140a5b0718243fe94f9f9e58ba825cc43375914

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-14T12:40:45.184660Z digest=sha256:09bc2de4646218de1e1c6bcb84b2dfd576564d6bb4fc900d109b2879f24f8199

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-14T12:40:45.189758Z digest=sha256:ddbd3e22b21ac4bb0d854a113ec5c1f895d5c3fb017fdf1cc7e689c5e69c0c57

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-14T12:40:45.194308Z digest=sha256:1d59e1e9c2fc6755f748a9aba727fdd5cba1b67024a81b7b952832ce6d7f81b8

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-14T12:40:45.199150Z digest=sha256:3472fa4b9ca0fc399dd9fe8b096abcddea3a5a5b7cb91060100f83c2b3d7e374

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=sha256:9c4f3d5d734e6119a10117919efcf501cf8641cea57476b2a7fde861cf7a988d

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=sha256:9395de138c69f2111e83d9ac5fe8b4ac5259a0d8c0de972c80684b7c724bdc77

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=sha256:9edf2943bd6aefd37fccaef1118b16841c9db6fa2a667a275d1db0d188ecccfb

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:d690057093e7b46588d9dfb37035ed9823db5223a30b5c258a2b5c3d612ff8b0

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-14T12:40:45.220449Z digest=sha256:1b08c73638cd1c4183bb0471ea3a8540269ec12bd0e0a6d6f5c30beeb1b5bdea

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-14T12:40:45.224749Z digest=sha256:57fafcdf6f14cc1b59489efeed70791748c30e61b7774f90d3a55d33e2cb7eb4

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=sha256:541a414a429ec33367bb43d22043bf74b2b81a869a9c43da69dd383c1ac66f0b

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-14T12:40:45.233166Z digest=sha256:f73826bbaa8739bc77c67882f3551083277161ee904c151bc8ed4a2eba875824

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-14T12:40:45.237911Z digest=sha256:a1c2ea5de0c23f7c60f7f64471d68603cf499747b674d649f212f7ac7824871f

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-14T12:40:45.242305Z digest=sha256:fe7f1174810b08867a61b67de09df234775203963ff50180644eff2fb3c74785

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-14T12:40:45.246323Z digest=sha256:759a117bed622c5b56aada13fdff26f2412ccf4241e599df6d168fcc7c0ca105

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:b48f96ec7329bd10a4844a8f60d08cef714474b423c3d0ff4b834a0988a5fa13

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-14T12:40:45.254530Z digest=sha256:aa65202eb69f412c9168f52150491c7b3ea205f755de6b69af922de3daabaff6

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:d1b5d507c0e55415acd205cf3b96c8b733a40006836037f72d8a19e07147ad9a

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-14T12:40:45.263890Z digest=sha256:2c34e783ff0e1cbee4720dfea4b01d64d2b66f925cdaf3cb180342d793900119

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-14T12:40:45.268295Z digest=sha256:0eb7af1a9966457f335d744994aea75ef0d271e6e6b232fa955ee58b2e93ddbd

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-14T12:40:45.272292Z digest=sha256:621b51884d0043ec232c254486d00d959a347ad5db7ed22418fa3694d2300c94

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-14T12:40:45.276257Z digest=sha256:d8335997c507470bf8ceec5c4f6174ce223b11e8bc8d341300cafb0222f9307b

Pith citing papers

No inbound Pith citation observations are available.