Paper Citation Record · LEDGER

FlowCut: Unsupervised Video Instance Segmentation via Temporal Mask Matching

As of 18 August 2026, this Paper Citation Record lists 48 of 48 outbound references and 0 inbound Pith citation observations for arXiv:2505.13174.

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

pith.paper-citation-record.v1
2505.13174 v1

Coverage vector

measured 48 of 48 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T20:21:37.131414Z

measured 48 of 48 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+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

48 of 48 outbound references displayed

verified exact3
verified fuzzy29
unresolved16
parse uncertain0
malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 15023106-a249-4904-a543-f2adf375172f · outbound

This paper cites Cuvler: Enhanced unsupervised object discoveries through exhaustive self-supervised transformers.

FlowCut: Unsupervised Video Instance Segmentation via Temporal Mask Matching Cuvler: Enhanced unsupervised object discoveries through exhaustive self-supervised transformers

Reference 1

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Observation f3a96ae6-af30-459d-b17c-e6af24b40405 · outbound

This paper cites Self-supervised object-centric learning for videos.

FlowCut: Unsupervised Video Instance Segmentation via Temporal Mask Matching Self-supervised object-centric learning for videos

Reference 2

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Observation 7fdf7acf-f624-4fc1-a5ea-50414f8082eb · outbound

This paper cites Emergence of object segmentation in perturbed generative models.

FlowCut: Unsupervised Video Instance Segmentation via Temporal Mask Matching Emergence of object segmentation in perturbed generative models

Reference 3

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Observation fec4936c-36d1-40a0-b1af-11d3a9f2301c · outbound

This paper cites Move: Unsupervised movable object segmentation and detection.

FlowCut: Unsupervised Video Instance Segmentation via Temporal Mask Matching Move: Unsupervised movable object segmentation and detection

Reference 4

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Observation d66b11e9-4b11-427a-b6c1-e5303a50b25b · outbound

This paper cites Unsupervised learning of visual features by contrasting cluster assignments.

FlowCut: Unsupervised Video Instance Segmentation via Temporal Mask Matching Unsupervised learning of visual features by contrasting cluster assignments

Reference 5

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Observation 1987450c-2325-4180-9591-2096b04397ad · outbound

This paper cites Emerging properties in self-supervised vision transformers.

FlowCut: Unsupervised Video Instance Segmentation via Temporal Mask Matching Emerging properties in self-supervised vision transformers

Reference 6

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Source-reported events for the cited work

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Observation a31318b0-a11b-4c03-84ae-e127b1cf6be4 · outbound

This paper cites Rethinking Atrous Convolution for Semantic Image Segmentation.

FlowCut: Unsupervised Video Instance Segmentation via Temporal Mask Matching Rethinking Atrous Convolution for Semantic Image Segmentation

Reference 7

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Source-reported events for the cited work

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Observation b50978c4-4638-4270-83df-d5a6750ce6b1 · outbound

This paper cites A simple framework for contrastive learning of visual representations.

FlowCut: Unsupervised Video Instance Segmentation via Temporal Mask Matching A simple framework for contrastive learning of visual representations

Reference 8

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Observation 31564ca5-2573-4118-a17f-5537b1ffd683 · outbound

This paper cites Mask2Former for Video Instance Segmentation.

FlowCut: Unsupervised Video Instance Segmentation via Temporal Mask Matching Mask2Former for Video Instance Segmentation

Reference 9

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Observation f88abbb6-7ede-453a-957d-b232728a051a · outbound

This paper cites Per-pixel classification is not all you need for semantic segmentation.

FlowCut: Unsupervised Video Instance Segmentation via Temporal Mask Matching Per-pixel classification is not all you need for semantic segmentation

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:21:38.237944Z

Source-reported events for the cited work

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Observation 356fb76d-b7b4-4073-9545-321f160dc9f1 · outbound

This paper cites Guess What Moves: Unsupervised Video and Image Segmentation by Anticipating Motion.

FlowCut: Unsupervised Video Instance Segmentation via Temporal Mask Matching Guess What Moves: Unsupervised Video and Image Segmentation by Anticipating Motion

Reference 11

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Source-reported events for the cited work

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Observation 0d208993-b055-4383-b089-da4315014219 · outbound

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

FlowCut: Unsupervised Video Instance Segmentation via Temporal Mask Matching Imagenet: A large-scale hierarchical image database

Reference 12

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Source-reported events for the cited work

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Observation 2c6ae53a-09fe-4cfc-bb8f-fd05e8219b6d · outbound

This paper cites Unsupervised Semantic Segmentation by Distilling Feature Correspondences.

FlowCut: Unsupervised Video Instance Segmentation via Temporal Mask Matching Unsupervised Semantic Segmentation by Distilling Feature Correspondences

Reference 13

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Source-reported events for the cited work

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Observation d47da380-f06b-463a-91d9-735cf09e6500 · outbound

This paper cites Masked autoencoders are scalable vision learners.

FlowCut: Unsupervised Video Instance Segmentation via Temporal Mask Matching Masked autoencoders are scalable vision learners

Reference 14

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Source-reported events for the cited work

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Observation c8c0c610-8945-4fd3-bd68-0d618d0db3dc · outbound

This paper cites Momentum contrast for unsupervised visual representation learning.

FlowCut: Unsupervised Video Instance Segmentation via Temporal Mask Matching Momentum contrast for unsupervised visual representation learning

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:21:38.182369Z

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Observation ae4b76f3-685f-43fe-8346-8200193d81f5 · outbound

This paper cites Deep residual learning for image recognition.

FlowCut: Unsupervised Video Instance Segmentation via Temporal Mask Matching Deep residual learning for image recognition

Reference 16

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Source-reported events for the cited work

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Observation 288fb254-66fb-44af-a0ed-2a0230ab7a6b · outbound

This paper cites Segment anything in high quality.

FlowCut: Unsupervised Video Instance Segmentation via Temporal Mask Matching Segment anything in high quality

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:21:38.141970Z

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Observation 896e50e7-cad7-4a2a-a37d-1cd4f3d6a2b9 · outbound

This paper cites Motion trajectory segmentation via minimum cost multicuts.

FlowCut: Unsupervised Video Instance Segmentation via Temporal Mask Matching Motion trajectory segmentation via minimum cost multicuts

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:21:38.121200Z

Source-reported events for the cited work

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Observation f6a91f21-b3ca-46b7-931a-d0c527b8d421 · outbound

This paper cites Motion segmen- tation & multiple object tracking by correlation co-clustering.

FlowCut: Unsupervised Video Instance Segmentation via Temporal Mask Matching Motion segmen- tation & multiple object tracking by correlation co-clustering

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:21:38.094034Z

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Observation 7232316b-7c5f-444c-9e41-50dc8f5f5ea4 · outbound

This paper cites Segment Anything.

FlowCut: Unsupervised Video Instance Segmentation via Temporal Mask Matching Segment Anything

Reference 20

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Source-reported events for the cited work

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Observation c0847535-940c-41cb-95e9-9b13bb2c6319 · outbound

This paper cites Efficient inference in fully connected crfs with gaussian edge potentials.

FlowCut: Unsupervised Video Instance Segmentation via Temporal Mask Matching Efficient inference in fully connected crfs with gaussian edge potentials

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:21:38.069785Z

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Observation 25638229-698b-4e17-ba3b-403091b5ff8f · outbound

This paper cites Decoupled Weight Decay Regularization.

FlowCut: Unsupervised Video Instance Segmentation via Temporal Mask Matching Decoupled Weight Decay Regularization

Reference 22

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Source-reported events for the cited work

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Observation d8b9aac5-0c0c-4945-a0a7-5daa44446708 · outbound

This paper cites Deep spectral meth- ods: A surprisingly strong baseline for unsupervised semantic segmentation and localization.

FlowCut: Unsupervised Video Instance Segmentation via Temporal Mask Matching Deep spectral meth- ods: A surprisingly strong baseline for unsupervised semantic segmentation and localization

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:21:38.045811Z

Source-reported events for the cited work

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Observation 0e1fcca5-f31f-4f2d-96cd-dc1c93698b75 · outbound

This paper cites DINOv2: Learning Robust Visual Features without Supervision.

FlowCut: Unsupervised Video Instance Segmentation via Temporal Mask Matching DINOv2: Learning Robust Visual Features without Supervision

Reference 24

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Observation 7feff057-24e2-488a-b31c-a706c327cdc0 · outbound

This paper cites The 2017 DAVIS Challenge on Video Object Segmentation.

FlowCut: Unsupervised Video Instance Segmentation via Temporal Mask Matching The 2017 DAVIS Challenge on Video Object Segmentation

Reference 25

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Source-reported events for the cited work

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Observation 4219839b-fc40-48d2-95eb-238b39b71be1 · outbound

This paper cites U2-net: Going deeper with nested u-structure for salient object detection.

FlowCut: Unsupervised Video Instance Segmentation via Temporal Mask Matching U2-net: Going deeper with nested u-structure for salient object detection

Reference 26

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Observation d42de9d6-70ad-4f2f-a95e-01dc759a0892 · outbound

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

FlowCut: Unsupervised Video Instance Segmentation via Temporal Mask Matching SAM 2: Segment Anything in Images and Videos

Reference 27

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Source-reported events for the cited work

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Observation 8902a1c4-d7e7-45fc-a8d4-be4c6163acc4 · outbound

This paper cites Sempart: Self-supervised multi-resolution partitioning of image semantics.

FlowCut: Unsupervised Video Instance Segmentation via Temporal Mask Matching Sempart: Self-supervised multi-resolution partitioning of image semantics

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:21:37.983468Z

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Observation b1e62234-9ce0-4072-98e1-a9accfe683eb · outbound

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

FlowCut: Unsupervised Video Instance Segmentation via Temporal Mask Matching U-net: Convolutional networks for biomedical image segmentation

Reference 29

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Observation c37670a3-fa27-4a4f-a829-ea1893e1dec8 · outbound

This paper cites Multi-object discovery by low-dimensional object motion.

FlowCut: Unsupervised Video Instance Segmentation via Temporal Mask Matching Multi-object discovery by low-dimensional object motion

Reference 30

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Observation 4fd01782-d4a2-4af4-9d3f-dcbeee5bf41a · outbound

This paper cites Boosting Unsupervised Segmentation Learning.

FlowCut: Unsupervised Video Instance Segmentation via Temporal Mask Matching Boosting Unsupervised Segmentation Learning

Reference 31

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Observation 2aa9e2f6-9a32-42e1-9ac2-f1359c5489ef · outbound

This paper cites Bridging the Gap to Real-World Object-Centric Learning.

FlowCut: Unsupervised Video Instance Segmentation via Temporal Mask Matching Bridging the Gap to Real-World Object-Centric Learning

Reference 32

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Observation 872b4dfe-d32d-4646-b461-3888148d784c · outbound

This paper cites Normalized cuts and image segmentation.

FlowCut: Unsupervised Video Instance Segmentation via Temporal Mask Matching Normalized cuts and image segmentation

Reference 33

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Observation ead0b026-6018-4c12-b47e-285021c835d0 · outbound

This paper cites Unsupervised salient object detection with spectral cluster voting.

FlowCut: Unsupervised Video Instance Segmentation via Temporal Mask Matching Unsupervised salient object detection with spectral cluster voting

Reference 34

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Observation 93585474-7f72-41db-8f26-6bcb698ba46a · outbound

This paper cites Localizing objects with self-supervised transformers and no labels.

FlowCut: Unsupervised Video Instance Segmentation via Temporal Mask Matching Localizing objects with self-supervised transformers and no labels

Reference 35

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Observation e228c4e3-dace-44c0-b25e-d613db655ed3 · outbound

This paper cites Unsupervised object localization: Observing the background to discover objects.

FlowCut: Unsupervised Video Instance Segmentation via Temporal Mask Matching Unsupervised object localization: Observing the background to discover objects

Reference 36

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Observation 213ba733-b3a6-4454-8225-38e8acaed99a · outbound

This paper cites LOCATE: Self-supervised Object Discovery via Flow-guided Graph-cut and Bootstrapped Self-training.

FlowCut: Unsupervised Video Instance Segmentation via Temporal Mask Matching LOCATE: Self-supervised Object Discovery via Flow-guided Graph-cut and Bootstrapped Self-training

Reference 37

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Observation 47186e99-88b0-41d3-b2b0-ae2040eaaec5 · outbound

This paper cites Raft: Recurrent all-pairs field transforms for optical flow.

FlowCut: Unsupervised Video Instance Segmentation via Temporal Mask Matching Raft: Recurrent all-pairs field transforms for optical flow

Reference 38

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Observation bc82d896-4684-4133-a057-1e2288d31ac4 · outbound

This paper cites Cut and learn for unsupervised object detection and instance segmentation.

FlowCut: Unsupervised Video Instance Segmentation via Temporal Mask Matching Cut and learn for unsupervised object detection and instance segmentation

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:21:37.799313Z

Source-reported events for the cited work

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Observation d69f1582-8388-4ddc-89af-5c97cc68bad2 · outbound

This paper cites Videocutler: Surprisingly simple unsupervised video instance segmentation.

FlowCut: Unsupervised Video Instance Segmentation via Temporal Mask Matching Videocutler: Surprisingly simple unsupervised video instance segmentation

Reference 40

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Observation 24190904-4686-4f43-8986-59201b0f9141 · outbound

This paper cites Segment anything without supervision.

FlowCut: Unsupervised Video Instance Segmentation via Temporal Mask Matching Segment anything without supervision

Reference 41

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Observation 1686e8a6-b54f-43b7-8146-2e3446e5d7eb · outbound

This paper cites Tokencut: Segmenting objects in images and videos with self- supervised transformer and normalized cut.

FlowCut: Unsupervised Video Instance Segmentation via Temporal Mask Matching Tokencut: Segmenting objects in images and videos with self- supervised transformer and normalized cut

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:21:37.718903Z

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Observation 8f1e5cb7-40a4-4a5d-9d15-b4b22d1c55cc · outbound

This paper cites Segmenting moving objects via an object-centric layered representation.

FlowCut: Unsupervised Video Instance Segmentation via Temporal Mask Matching Segmenting moving objects via an object-centric layered representation

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:21:37.678862Z

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Observation 33ce6912-30fa-488f-bc1f-78337161de05 · outbound

This paper cites Self-supervised video object segmentation by motion grouping.

FlowCut: Unsupervised Video Instance Segmentation via Temporal Mask Matching Self-supervised video object segmentation by motion grouping

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:21:37.652650Z

Source-reported events for the cited work

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Observation 47b30564-f578-4a10-a018-6f1f753b1fa9 · outbound

This paper cites The 3rd large-scale video object segmentation challenge - video instance segmentation track, June 2021.

FlowCut: Unsupervised Video Instance Segmentation via Temporal Mask Matching The 3rd large-scale video object segmentation challenge - video instance segmentation track, June 2021

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:21:37.630804Z

Source-reported events for the cited work

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Observation 857a2ef6-4567-4a1c-8c9a-393009c8eb8b · outbound

This paper cites Video instance segmentation.

FlowCut: Unsupervised Video Instance Segmentation via Temporal Mask Matching Video instance segmentation

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:21:37.605799Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 1d363276-e8be-4c51-8f67-6c7f3fc82f7d · outbound

This paper cites Deformable sprites for unsupervised video decomposition.

FlowCut: Unsupervised Video Instance Segmentation via Temporal Mask Matching Deformable sprites for unsupervised video decomposition

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:21:37.582768Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation cbe9b551-8598-4171-8d88-6da0ca823d88 · outbound

This paper cites Unsupervised Semantic Segmentation with Self-supervised Object-centric Representations.

FlowCut: Unsupervised Video Instance Segmentation via Temporal Mask Matching Unsupervised Semantic Segmentation with Self-supervised Object-centric Representations

Reference 48

Resolution: verified exact; local_arxiv, observed 2026-08-15T20:21:37.202224Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Pith citing papers

No inbound Pith citation observations are available.