Paper Citation Record · LEDGER

Towards Fine-grained Interactive Segmentation in Images and Videos

As of 8 August 2026, this Paper Citation Record lists 46 of 46 outbound references and 0 inbound Pith citation observations for arXiv:2502.09660.

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

pith.paper-citation-record.v1
2502.09660 v1

Coverage vector

measured 46 of 46 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-08T10:16:59.222616Z

measured 46 of 46 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+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

46 of 46 outbound references displayed

verified exact0
verified fuzzy30
unresolved16
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation a58a2399-cda4-460f-8930-ab44c02f8baa · outbound

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

Towards Fine-grained Interactive Segmentation in Images and Videos An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-08T10:16:59.004858Z

Source-reported events for the cited work

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Observation a32f7675-49bf-48ea-be49-2505cefe187c · outbound

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

Towards Fine-grained Interactive Segmentation in Images and Videos Per-pixel classification is not all you need for semantic segmentation

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T10:16:59.925798Z

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Observation 479e092a-5c98-4226-8cfd-dd0ed8a65117 · outbound

This paper cites an unresolved cited work.

Towards Fine-grained Interactive Segmentation in Images and Videos Unresolved cited work

Reference 3

Resolution: unresolved; raw_fallback, observed 2026-08-08T10:16:59.910485Z

Source-reported events for the cited work

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Observation a625fdcf-24ad-4887-bb94-c726b31caa18 · outbound

This paper cites Xmem: Long- term video object segmentation with an atkinson-shiffrin memory model.

Towards Fine-grained Interactive Segmentation in Images and Videos Xmem: Long- term video object segmentation with an atkinson-shiffrin memory model

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T10:16:59.895999Z

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Observation adb37cc1-5c12-426d-bb54-06384bcec244 · outbound

This paper cites CascadePSP: Toward class-agnostic and very high- resolution segmentation via global and local refinement.

Towards Fine-grained Interactive Segmentation in Images and Videos CascadePSP: Toward class-agnostic and very high- resolution segmentation via global and local refinement

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T10:16:59.880723Z

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Observation 3f19c9e9-6c00-4062-80e5-17221714b97f · outbound

This paper cites Schwing Alexander Kirillov Cheng, Bowen and Rohit Girdhar.

Towards Fine-grained Interactive Segmentation in Images and Videos Schwing Alexander Kirillov Cheng, Bowen and Rohit Girdhar

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T10:16:59.865618Z

Source-reported events for the cited work

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Observation b06ef80c-a69a-4be5-99fd-6b1720d52cb6 · outbound

This paper cites Collins Yukun Zhu Ting Liu Thomas S.

Towards Fine-grained Interactive Segmentation in Images and Videos Collins Yukun Zhu Ting Liu Thomas S

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T10:16:59.850402Z

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Observation ba736375-d047-4514-8f61-c7b85c935669 · outbound

This paper cites Global contrast based salient region detection.

Towards Fine-grained Interactive Segmentation in Images and Videos Global contrast based salient region detection

Reference 8

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Observation c15364fd-d8ac-4ca6-b1a1-ec9db101a14a · outbound

This paper cites Instance-aware se- mantic segmentation via multi-task network cascades.

Towards Fine-grained Interactive Segmentation in Images and Videos Instance-aware se- mantic segmentation via multi-task network cascades

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T10:16:59.818916Z

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Observation 93fd1ef5-0eb8-4c9c-8f4e-020db3ba7ea7 · outbound

This paper cites Seg- ment and recognize anything at any granularity.

Towards Fine-grained Interactive Segmentation in Images and Videos Seg- ment and recognize anything at any granularity

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T10:16:59.804294Z

Source-reported events for the cited work

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Observation ac2f5d83-0580-4c95-bcba-1d30d6345cb8 · outbound

This paper cites Lvis: A dataset for large vocabulary instance segmentation.

Towards Fine-grained Interactive Segmentation in Images and Videos Lvis: A dataset for large vocabulary instance segmentation

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T10:16:59.789685Z

Source-reported events for the cited work

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Observation c9a2b46c-ac18-4f16-be57-d06b8df508c0 · outbound

This paper cites Mask r-cnn.

Towards Fine-grained Interactive Segmentation in Images and Videos Mask r-cnn

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T10:16:59.774429Z

Source-reported events for the cited work

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Observation 61314d26-c4e3-4a5e-aa07-745b5392b1a8 · outbound

This paper cites Rethink- ing space-time networks with improved memory coverage for efficient video object segmentation.

Towards Fine-grained Interactive Segmentation in Images and Videos Rethink- ing space-time networks with improved memory coverage for efficient video object segmentation

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T10:16:59.759442Z

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Observation b070dc0d-5c1c-457b-b0dd-f8c707ef5a53 · outbound

This paper cites Panoptic segmentation.

Towards Fine-grained Interactive Segmentation in Images and Videos Panoptic segmentation

Reference 14

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Source-reported events for the cited work

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Observation db586eca-b7aa-4a30-aa0a-cc4ae127b4c0 · outbound

This paper cites Berg, Wan-Yen Lo, Piotr Dollár, and Ross Girshick.

Towards Fine-grained Interactive Segmentation in Images and Videos Berg, Wan-Yen Lo, Piotr Dollár, and Ross Girshick

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T10:16:59.732802Z

Source-reported events for the cited work

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Observation 06cac80c-b8d1-406c-bd1e-5288f5bdf872 · outbound

This paper cites Segment anything in high quality.

Towards Fine-grained Interactive Segmentation in Images and Videos Segment anything in high quality

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T10:16:59.716343Z

Source-reported events for the cited work

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Observation 8b8f689c-b8ff-418f-80d9-c93fb077ae00 · outbound

This paper cites Fss-1000: A 1000-class dataset for few- shot segmentation.

Towards Fine-grained Interactive Segmentation in Images and Videos Fss-1000: A 1000-class dataset for few- shot segmentation

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T10:16:59.700899Z

Source-reported events for the cited work

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Observation ab11bf46-4feb-424b-ab11-cf251444ca2a · outbound

This paper cites Rethinking Atrous Convolution for Semantic Image Segmentation.

Towards Fine-grained Interactive Segmentation in Images and Videos Rethinking Atrous Convolution for Semantic Image Segmentation

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-08T10:16:59.086439Z

Source-reported events for the cited work

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Observation 1fc20d64-650b-41e2-8345-aacb4f51dd24 · outbound

This paper cites Deep interactive thin object selection.

Towards Fine-grained Interactive Segmentation in Images and Videos Deep interactive thin object selection

Reference 19

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Source-reported events for the cited work

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Observation 00698961-8a1a-4e75-a6df-83c232d9dffc · outbound

This paper cites Segment anything with precise interaction.

Towards Fine-grained Interactive Segmentation in Images and Videos Segment anything with precise interaction

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T10:16:59.670729Z

Source-reported events for the cited work

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Observation 5966737f-cbd8-4baa-85fe-98736c4cf77c · outbound

This paper cites Receptive field block net for accurate and fast object detection.

Towards Fine-grained Interactive Segmentation in Images and Videos Receptive field block net for accurate and fast object detection

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T10:16:59.656542Z

Source-reported events for the cited work

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Observation 771023ec-81f7-416c-9b1e-e877d8f5d5ae · outbound

This paper cites Fully convolutional networks for semantic segmentation.

Towards Fine-grained Interactive Segmentation in Images and Videos Fully convolutional networks for semantic segmentation

Reference 22

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Source-reported events for the cited work

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Observation 526b13bf-2f70-4049-85f6-b2cdbcfd32dd · outbound

This paper cites Segment anything in medical images.

Towards Fine-grained Interactive Segmentation in Images and Videos Segment anything in medical images

Reference 23

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Source-reported events for the cited work

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Observation 6b3d4c92-06d6-4026-a5af-7ec1215da5b2 · outbound

This paper cites Gaus- sian grouping: Segment and edit anything in 3d scenes.

Towards Fine-grained Interactive Segmentation in Images and Videos Gaus- sian grouping: Segment and edit anything in 3d scenes

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T10:16:59.622584Z

Source-reported events for the cited work

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Observation a4f6d3b3-7b04-42d4-8717-f1056b123f0d · outbound

This paper cites Recurrent dynamic embedding for video object segmentation.

Towards Fine-grained Interactive Segmentation in Images and Videos Recurrent dynamic embedding for video object segmentation

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T10:16:59.607832Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 3ac1ec4e-2c44-4da4-a3bb-fdfb5bd69fab · outbound

This paper cites Highly accurate dichotomous im- age segmentation.

Towards Fine-grained Interactive Segmentation in Images and Videos Highly accurate dichotomous im- age segmentation

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T10:16:59.593340Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation ed8a5d5c-db66-4091-b9d5-091e8221d5ca · outbound

This paper cites Learning dynamic convolutions for multi-modal 3d mri brain tumor segmentation.

Towards Fine-grained Interactive Segmentation in Images and Videos Learning dynamic convolutions for multi-modal 3d mri brain tumor segmentation

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T10:16:59.578848Z

Source-reported events for the cited work

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Observation 1d187f0e-dc79-4dd0-ae4c-85d26ac450b4 · outbound

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

Towards Fine-grained Interactive Segmentation in Images and Videos SAM 2: Segment Anything in Images and Videos

Reference 29

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Source-reported events for the cited work

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Observation 2f5e8bd8-699d-4adf-82ef-911d9c0c9c7e · outbound

This paper cites Hi- era: A hierarchical vision transformer without the bells-and- whistles.

Towards Fine-grained Interactive Segmentation in Images and Videos Hi- era: A hierarchical vision transformer without the bells-and- whistles

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T10:16:59.563735Z

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Observation 2963cc28-4e65-4378-a6b6-74a539a72178 · outbound

This paper cites Anything-3D: Towards Single-view Anything Reconstruction in the Wild.

Towards Fine-grained Interactive Segmentation in Images and Videos Anything-3D: Towards Single-view Anything Reconstruction in the Wild

Reference 31

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Observation ed74f668-cf70-4714-ae81-2497ed6c1b72 · outbound

This paper cites Hierarchical image saliency detection on extended cssd.

Towards Fine-grained Interactive Segmentation in Images and Videos Hierarchical image saliency detection on extended cssd

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T10:16:59.549339Z

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Observation 5bcc1b51-d77b-499c-9c2a-b56182ce3621 · outbound

This paper cites SegRefiner: Towards Model-Agnostic Segmentation Refinement with Discrete Diffusion Process.

Towards Fine-grained Interactive Segmentation in Images and Videos SegRefiner: Towards Model-Agnostic Segmentation Refinement with Discrete Diffusion Process

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-08T10:16:59.157871Z

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Towards Fine-grained Interactive Segmentation in Images and Videos Unresolved cited work

Reference 34

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Source-reported events for the cited work

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Observation 064aadbb-d1fc-4fa6-bfa5-c65e6f5c8159 · outbound

This paper cites SegGPT: Segmenting Everything In Context.

Towards Fine-grained Interactive Segmentation in Images and Videos SegGPT: Segmenting Everything In Context

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-08T10:16:59.167280Z

Source-reported events for the cited work

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Observation df79e754-b358-4446-9f10-6f867a677fa7 · outbound

This paper cites Medical SAM Adapter: Adapting Segment Anything Model for Medical Image Segmentation.

Towards Fine-grained Interactive Segmentation in Images and Videos Medical SAM Adapter: Adapting Segment Anything Model for Medical Image Segmentation

Reference 36

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Observation 9537121a-16c2-4b40-97af-8c4eb9abd83c · outbound

This paper cites Edit Everything: A Text-Guided Generative System for Images Editing.

Towards Fine-grained Interactive Segmentation in Images and Videos Edit Everything: A Text-Guided Generative System for Images Editing

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-08T10:16:59.177313Z

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Observation 9dd8c4ff-974b-4cf0-9b75-dd6ab96431cd · outbound

This paper cites Al- varez Xie, Enze and Ping Luo.

Towards Fine-grained Interactive Segmentation in Images and Videos Al- varez Xie, Enze and Ping Luo

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T10:16:59.519028Z

Source-reported events for the cited work

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Observation 9d884c20-b936-46d8-b45e-0f27a2c2ab21 · outbound

This paper cites EmbodiedSAM: Online Segment Any 3D Thing in Real Time.

Towards Fine-grained Interactive Segmentation in Images and Videos EmbodiedSAM: Online Segment Any 3D Thing in Real Time

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-08T10:16:59.186201Z

Source-reported events for the cited work

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Observation 19655146-7fab-4feb-94f2-f5babd7c3b66 · outbound

This paper cites Seg- ment everything everywhere all at once.

Towards Fine-grained Interactive Segmentation in Images and Videos Seg- ment everything everywhere all at once

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T10:16:59.503984Z

Source-reported events for the cited work

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Observation e1ddc00c-fd76-4df8-b7ba-381cddafff3b · outbound

This paper cites Saliency detection via graph-based man- ifold ranking.

Towards Fine-grained Interactive Segmentation in Images and Videos Saliency detection via graph-based man- ifold ranking

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T10:16:59.487569Z

Source-reported events for the cited work

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Observation 2cb4b2d7-a7e0-4d0e-9800-f04c949f6528 · outbound

This paper cites Decoupling features in hi- erarchical propagation for video object segmentation.

Towards Fine-grained Interactive Segmentation in Images and Videos Decoupling features in hi- erarchical propagation for video object segmentation

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T10:16:59.472551Z

Source-reported events for the cited work

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Observation 118895c3-fe4d-4939-a665-eb562c218552 · outbound

This paper cites Multi-view aggregation network for dichoto- mous image segmentation.

Towards Fine-grained Interactive Segmentation in Images and Videos Multi-view aggregation network for dichoto- mous image segmentation

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T10:16:59.457475Z

Source-reported events for the cited work

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Observation 223e78f5-7d9e-47c8-8291-4086f19121d8 · outbound

This paper cites Inpaint Anything: Segment Anything Meets Image Inpainting.

Towards Fine-grained Interactive Segmentation in Images and Videos Inpaint Anything: Segment Anything Meets Image Inpainting

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-08T10:16:59.208911Z

Source-reported events for the cited work

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Observation 5411252a-2879-49c9-b573-a0f462db2a1a · outbound

This paper cites Segfix: Model-agnostic boundary refinement for segmenta- tion.

Towards Fine-grained Interactive Segmentation in Images and Videos Segfix: Model-agnostic boundary refinement for segmenta- tion

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T10:16:59.441804Z

Source-reported events for the cited work

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Observation ef5fbb56-639f-4430-9313-b0eecc9fd3df · outbound

This paper cites Towards high-resolution salient object detec- tion.

Towards Fine-grained Interactive Segmentation in Images and Videos Towards high-resolution salient object detec- tion

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T10:16:59.425908Z

Source-reported events for the cited work

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Observation df961242-06c7-4beb-a5ca-48a9fab72097 · outbound

This paper cites Pyramid scene parsing network.

Towards Fine-grained Interactive Segmentation in Images and Videos Pyramid scene parsing network

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-08T10:16:59.222616Z

Source-reported events for the cited work

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Pith citing papers

No inbound Pith citation observations are available.