Paper Citation Record · LEDGER

Native Segmentation Vision Transformers

As of 10 August 2026, this Paper Citation Record lists 74 of 74 outbound references and 1 inbound Pith citation observation for arXiv:2505.16993.

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

pith.paper-citation-record.v1
2505.16993 v1

Coverage vector

measured 74 of 74 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:55:40.776768Z

measured 75 of 75 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-13T06:02:40.158866Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-13T06:07:22.539904Z

Reference resolution

74 of 74 outbound references displayed

verified exact0
verified fuzzy53
unresolved21
parse uncertain0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 2460445c-9575-432c-a64a-35e294bcf3ca · outbound

This paper cites Swin transformer: Hierarchical vision transformer using shifted windows.

Native Segmentation Vision Transformers Swin transformer: Hierarchical vision transformer using shifted windows

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-07T14:55:34.491663Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 39342ace-32b9-4815-9690-66756b5c6ab3 · outbound

This paper cites Convnext v2: Co-designing and scaling convnets with masked autoencoders.

Native Segmentation Vision Transformers Convnext v2: Co-designing and scaling convnets with masked autoencoders

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:55:50.558282Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation f518c955-48b5-4dc5-a695-53331bd64673 · outbound

This paper cites Neighborhood attention transformer.

Native Segmentation Vision Transformers Neighborhood attention transformer

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:55:50.429716Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 969585b4-5aa4-4515-985d-81316a64135c · outbound

This paper cites Backpropagation applied to handwritten zip code recognition.

Native Segmentation Vision Transformers Backpropagation applied to handwritten zip code recognition

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-07T14:55:34.815187Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a9843379-0ad2-44e0-a301-20e7a7d3e85d · outbound

This paper cites an unresolved cited work.

Native Segmentation Vision Transformers Unresolved cited work

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-07T14:55:34.922357Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation da6f51d4-8ab3-42fd-99f6-aed459b366ac · outbound

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

Native Segmentation Vision Transformers Schwing, Alexander Kirillov, and Rohit Girdhar

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-07T14:55:35.010276Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cdb95e00-622d-4ef2-8539-659d45743bd9 · outbound

This paper cites Feature pyramid networks for object detection.

Native Segmentation Vision Transformers Feature pyramid networks for object detection

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-07T14:55:35.085000Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 991767dd-4efc-4e69-9305-9957da71bd7f · outbound

This paper cites FaPN: Feature-aligned pyramid network for dense image prediction.

Native Segmentation Vision Transformers FaPN: Feature-aligned pyramid network for dense image prediction

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:55:50.262110Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation ee282015-9ab6-4dc9-a550-1d84fc6a92af · outbound

This paper cites an unresolved cited work.

Native Segmentation Vision Transformers Unresolved cited work

Reference 9

Resolution: unresolved; raw_fallback, observed 2026-08-07T14:55:50.132482Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 3e5f1493-744d-47ed-934f-63537f47f13b · outbound

This paper cites Clusterformer: Clustering as a universal visual learner.

Native Segmentation Vision Transformers Clusterformer: Clustering as a universal visual learner

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:55:49.967714Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation fa701606-54c5-4881-b075-b7c7e1865346 · outbound

This paper cites Learning hierarchical image segmentation for recognition and by recognition.

Native Segmentation Vision Transformers Learning hierarchical image segmentation for recognition and by recognition

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:55:49.870902Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 15597a3d-7613-4f33-8943-a46cfd1b6687 · outbound

This paper cites Tcformer: Visual recognition via token clustering transformer.

Native Segmentation Vision Transformers Tcformer: Visual recognition via token clustering transformer

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:55:49.742996Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 2d765e73-8eea-41de-9bc5-055e8bb36032 · outbound

This paper cites Schwing, and Alexander Kirillov.

Native Segmentation Vision Transformers Schwing, and Alexander Kirillov

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:55:49.604488Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 6f38e803-886f-4711-aeef-f7b547b01593 · outbound

This paper cites Slic superpixels compared to state-of-the-art superpixel methods.

Native Segmentation Vision Transformers Slic superpixels compared to state-of-the-art superpixel methods

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:55:49.402810Z

Source-reported events for the cited work

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Observation 8bd76a18-d8a2-42f5-999d-27a3bca78879 · outbound

This paper cites Object-centric learning with slot attention.

Native Segmentation Vision Transformers Object-centric learning with slot attention

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:55:49.233922Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 2fa49496-b243-4745-a451-4f5bb7571d4b · outbound

This paper cites Mean shift: A robust approach toward feature space analysis.

Native Segmentation Vision Transformers Mean shift: A robust approach toward feature space analysis

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:55:49.016911Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation f1abbd73-3554-4b10-82bc-659c6ddb72ae · outbound

This paper cites Felzenszwalb and Daniel P.

Native Segmentation Vision Transformers Felzenszwalb and Daniel P

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:55:48.853816Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation b6cc0892-2632-4d79-a46b-dea5645c87d8 · outbound

This paper cites Contour detection and hierarchical image segmentation.

Native Segmentation Vision Transformers Contour detection and hierarchical image segmentation

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:55:48.710783Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 6909a4cd-4635-4a9c-b02d-8368068fba64 · outbound

This paper cites Seeds: Superpixels extracted via energy-driven sampling.

Native Segmentation Vision Transformers Seeds: Superpixels extracted via energy-driven sampling

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:55:48.536144Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 6f8390d9-e7de-427f-ba63-7e7c1684f633 · outbound

This paper cites Semantic understanding of scenes through the ade20k dataset.

Native Segmentation Vision Transformers Semantic understanding of scenes through the ade20k dataset

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:55:48.395546Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 22559590-2a4f-410d-bdfa-744dd9271f2f · outbound

This paper cites Panoptic segmentation.

Native Segmentation Vision Transformers Panoptic segmentation

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:55:48.202978Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation cc44dad6-1121-4f2f-a77c-7b88b2bded88 · outbound

This paper cites Neocognitron: A self-organizing neural network model for a mechanism of pattern recognition unaffected by shift in position.

Native Segmentation Vision Transformers Neocognitron: A self-organizing neural network model for a mechanism of pattern recognition unaffected by shift in position

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-07T14:55:36.693822Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 60d9cf58-f5f8-4f77-9266-976677bb21c0 · outbound

This paper cites Gradient-based learning applied to document recognition.

Native Segmentation Vision Transformers Gradient-based learning applied to document recognition

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:55:48.038344Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 11364c9b-1f78-438f-add2-63c1c7732b99 · outbound

This paper cites An image is worth 16x16 words: Transformers for image recognition at scale.

Native Segmentation Vision Transformers An image is worth 16x16 words: Transformers for image recognition at scale

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-07T14:55:36.825137Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation edb1c32d-38b4-47cb-b971-d50f5cdb5fe7 · outbound

This paper cites A convnet for the 2020s.

Native Segmentation Vision Transformers A convnet for the 2020s

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-07T14:55:36.922349Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0350cb82-c86e-4800-bd90-f7e8a3f9b611 · outbound

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

Native Segmentation Vision Transformers SAM 2: Segment Anything in Images and Videos

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-07T14:55:37.004068Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9851423e-6728-49b0-a99d-6c901950ccb1 · outbound

This paper cites Fully convolutional networks for semantic segmentation.

Native Segmentation Vision Transformers Fully convolutional networks for semantic segmentation

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-07T14:55:37.099662Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8e70d7bb-005f-436d-adb4-ffaa0f5b9655 · outbound

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

Native Segmentation Vision Transformers U-net: Convolutional networks for biomedical image segmentation

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:55:47.850044Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 7296edd4-bfdd-41fa-b45b-d1ef3d797e07 · outbound

This paper cites Rich feature hierarchies for accurate object detection and semantic segmentation.

Native Segmentation Vision Transformers Rich feature hierarchies for accurate object detection and semantic segmentation

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:55:47.634897Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 4617a109-394d-4a8d-b17d-2a6863660fa7 · outbound

This paper cites Fast r-cnn.

Native Segmentation Vision Transformers Fast r-cnn

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-07T14:55:37.360904Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation abbb1278-5402-40c8-b8a9-a796dda25b68 · outbound

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

Native Segmentation Vision Transformers End-to-end object detection with transformers

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-07T14:55:37.466195Z

Source-reported events for the cited work

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Observation e95186b4-c75a-4946-8c30-eb2aae10353d · outbound

This paper cites Normalized cuts and image segmentation.

Native Segmentation Vision Transformers Normalized cuts and image segmentation

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:55:47.416823Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 2a1bbe62-2422-4b2f-9320-d17f37cbd3cb · outbound

This paper cites Multiscale combinatorial grouping.

Native Segmentation Vision Transformers Multiscale combinatorial grouping

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:55:47.198109Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 46dc9746-5865-474f-b668-83260ca4fe38 · outbound

This paper cites Superpixel samping networks.

Native Segmentation Vision Transformers Superpixel samping networks

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:55:47.016623Z

Source-reported events for the cited work

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Observation abda8ddf-d305-4097-8a72-bf103965d096 · outbound

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Native Segmentation Vision Transformers Unresolved cited work

Reference 35

Resolution: unresolved; raw_fallback, observed 2026-08-07T14:55:46.802461Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation db5cc85c-a4f2-48a8-b46e-064f879dc9a9 · outbound

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Native Segmentation Vision Transformers Unresolved cited work

Reference 36

Resolution: unresolved; raw_fallback, observed 2026-08-07T14:55:46.557896Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 9eca3a2d-053d-4021-b61b-b205ef653898 · outbound

This paper cites Unified perceptual parsing for scene understanding.

Native Segmentation Vision Transformers Unified perceptual parsing for scene understanding

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:55:46.374569Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 58de59c6-c80f-492b-a683-8e12dfa77e14 · outbound

This paper cites Berg, and Li Fei-Fei.

Native Segmentation Vision Transformers Berg, and Li Fei-Fei

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:55:46.201278Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation e4bb2b64-dfeb-44b8-8a9f-32b9a46018a4 · outbound

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

Native Segmentation Vision Transformers Learning transferable visual models from natural language supervision

Reference 39

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Source-reported events for the cited work

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Observation 051e48ba-726e-45b9-b577-5958b6803ef4 · outbound

This paper cites Le, Yun- Hsuan Sung, Zhen Li, and Tom Duerig.

Native Segmentation Vision Transformers Le, Yun- Hsuan Sung, Zhen Li, and Tom Duerig

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:55:46.027620Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 4c5dfd3e-7978-414e-93c7-3a0c2cfde865 · outbound

This paper cites A simple framework for text-supervised semantic segmentation.

Native Segmentation Vision Transformers A simple framework for text-supervised semantic segmentation

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:55:45.829111Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 522dc38d-724f-4e3d-bd7d-5badc2072f75 · outbound

This paper cites Conceptual captions: A cleaned, hypernymed, image alt-text dataset for automatic image captioning.

Native Segmentation Vision Transformers Conceptual captions: A cleaned, hypernymed, image alt-text dataset for automatic image captioning

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:55:45.691037Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 4b1d9c74-8136-437f-94e8-736a37685071 · outbound

This paper cites Conceptual 12M: Pushing Web-Scale Image-Text Pre-Training To Recognize Long-Tail Visual Concepts.

Native Segmentation Vision Transformers Conceptual 12M: Pushing Web-Scale Image-Text Pre-Training To Recognize Long-Tail Visual Concepts

Reference 43

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7663898a-73b5-447d-912e-d66af4100685 · outbound

This paper cites Redcaps: Web-crawled image-text data created by the people, for the people.

Native Segmentation Vision Transformers Redcaps: Web-crawled image-text data created by the people, for the people

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:55:45.509767Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 421a5750-7cb4-45b2-844d-c2068675156c · outbound

This paper cites Learning to generate text-grounded mask for open-world semantic segmentation from only image-text pairs.

Native Segmentation Vision Transformers Learning to generate text-grounded mask for open-world semantic segmentation from only image-text pairs

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:55:45.310461Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation e6c0e57e-0842-4104-93aa-39c716c4ff09 · outbound

This paper cites Everingham, L.

Native Segmentation Vision Transformers Everingham, L

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:55:45.134327Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 72274a1a-d26c-4238-8e16-a879ee05c245 · outbound

This paper cites The role of context for object detection and semantic segmentation in the wild.

Native Segmentation Vision Transformers The role of context for object detection and semantic segmentation in the wild

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:55:44.877729Z

Source-reported events for the cited work

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Observation 12ff2374-85bd-42dc-a2a2-3e24c9307cc2 · outbound

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Native Segmentation Vision Transformers Unresolved cited work

Reference 48

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Observation 0863d82c-10c4-4e67-9774-4d4e6d0519a9 · outbound

This paper cites Coco-stuff: Thing and stuff classes in context.

Native Segmentation Vision Transformers Coco-stuff: Thing and stuff classes in context

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:55:44.550601Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 45573f47-e3d0-44e4-acab-46e74982d378 · outbound

This paper cites Cordts, M.

Native Segmentation Vision Transformers Cordts, M

Reference 50

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Source-reported events for the cited work

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Observation 971d4e1d-0360-4075-8853-572bf21cf678 · outbound

This paper cites Open- world semantic segmentation via contrasting and clustering vision-language embedding.

Native Segmentation Vision Transformers Open- world semantic segmentation via contrasting and clustering vision-language embedding

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:55:44.340556Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation c5829d93-cf5c-4493-a113-a528c55e49b4 · outbound

This paper cites Segclip: Patch aggregation with learnable centers for open-vocabulary semantic segmentation.

Native Segmentation Vision Transformers Segclip: Patch aggregation with learnable centers for open-vocabulary semantic segmentation

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:55:44.151077Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation e922457d-570b-402d-829f-1ed192d4d53b · outbound

This paper cites Image-text co-decomposition for text-supervised semantic segmentation.

Native Segmentation Vision Transformers Image-text co-decomposition for text-supervised semantic segmentation

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:55:43.994656Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation fab32581-2094-4638-8719-105837d4e6f9 · outbound

This paper cites Viewco: Discovering text-supervised segmentation masks via multi-view semantic consistency.

Native Segmentation Vision Transformers Viewco: Discovering text-supervised segmentation masks via multi-view semantic consistency

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:55:43.799254Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 8fc88444-f9a1-41e5-9db4-72413e568c66 · outbound

This paper cites Rewrite caption semantics: Bridging semantic gaps for language-supervised semantic segmentation.

Native Segmentation Vision Transformers Rewrite caption semantics: Bridging semantic gaps for language-supervised semantic segmentation

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:55:43.625993Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation fc8b093b-d0cd-47b1-a17d-aabcc22eb2f9 · outbound

This paper cites Uncovering prototypical knowledge for weakly open-vocabulary semantic segmentation.

Native Segmentation Vision Transformers Uncovering prototypical knowledge for weakly open-vocabulary semantic segmentation

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:55:43.458392Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 6ca380dd-fdbd-4b8c-ad63-df2fcdf1a52a · outbound

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

Native Segmentation Vision Transformers Efficient inference in fully connected crfs with gaussian edge potentials

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:55:43.313744Z

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Observation 10d3c55d-06db-4062-bd14-7ef921ee45ea · outbound

This paper cites Single-stage semantic segmentation from image labels.

Native Segmentation Vision Transformers Single-stage semantic segmentation from image labels

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:55:43.172338Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation c961662f-da5d-4207-8db6-5a18fcc46496 · outbound

This paper cites Vmamba: Visual state space model.

Native Segmentation Vision Transformers Vmamba: Visual state space model

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:55:43.049455Z

Source-reported events for the cited work

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Observation dec6cc42-45af-4d31-ac73-3f8f589fe156 · outbound

This paper cites Internvl: Scaling up vision foundation models and aligning for generic visual-linguistic tasks.

Native Segmentation Vision Transformers Internvl: Scaling up vision foundation models and aligning for generic visual-linguistic tasks

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:55:42.871618Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 67f73f93-4e98-4907-9f6a-301595fefb4f · outbound

This paper cites Panoptic feature pyramid networks.

Native Segmentation Vision Transformers Panoptic feature pyramid networks

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:55:42.750426Z

Source-reported events for the cited work

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Observation d62ce440-cb23-407d-a27d-786cc8396158 · outbound

This paper cites Segmenter: Transformer for semantic segmentation.

Native Segmentation Vision Transformers Segmenter: Transformer for semantic segmentation

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:55:42.618951Z

Source-reported events for the cited work

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Observation 40dc5a72-0625-40f4-8cc7-38b435006774 · outbound

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Native Segmentation Vision Transformers Unresolved cited work

Reference 63

Resolution: unresolved; raw_fallback, observed 2026-08-07T14:55:42.424557Z

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Observation a3bbe0f1-d2f1-4079-87cf-a4b174ad51be · outbound

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

Native Segmentation Vision Transformers Grounding dino: Marrying dino with grounded pre-training for open-set object detection

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:55:42.334089Z

Source-reported events for the cited work

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Observation 1f78a695-9c15-4dbe-9b6a-30f1560e0474 · outbound

This paper cites Self-attention with relative position rep- resentations.

Native Segmentation Vision Transformers Self-attention with relative position rep- resentations

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:55:42.192849Z

Source-reported events for the cited work

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Observation 8c28d6ac-aa0c-4cb7-813d-7735c818d99a · outbound

This paper cites Roformer: Enhanced transformer with rotary position embedding.

Native Segmentation Vision Transformers Roformer: Enhanced transformer with rotary position embedding

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:55:42.054391Z

Source-reported events for the cited work

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Observation 437ba9f9-51cf-4272-8968-749e3242de6f · outbound

This paper cites Rotary position embedding for vision transformer.

Native Segmentation Vision Transformers Rotary position embedding for vision transformer

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:55:41.934310Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation bdfafc2b-bed4-4ea6-a779-5aaf230de942 · outbound

This paper cites Flashattention: Fast and memory-efficient exact attention with io-awareness.

Native Segmentation Vision Transformers Flashattention: Fast and memory-efficient exact attention with io-awareness

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:55:41.770603Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 3f1e26f5-c66c-415e-bb6b-d6518d192254 · outbound

This paper cites Faster neighborhood attention: Reducing the o(n^2) cost of self attention at the threadblock level.

Native Segmentation Vision Transformers Faster neighborhood attention: Reducing the o(n^2) cost of self attention at the threadblock level

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:55:41.619633Z

Source-reported events for the cited work

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Observation 14e5460f-1f9e-4ca8-8d8e-684f2faea1de · outbound

This paper cites Training data-efficient image transformers; distillation through attention.

Native Segmentation Vision Transformers Training data-efficient image transformers; distillation through attention

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:55:41.448153Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 8a207c97-2d2a-41fc-b4af-80f60be67ba7 · outbound

This paper cites Weinberger.

Native Segmentation Vision Transformers Weinberger

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:55:41.352789Z

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Observation bfa2a9c9-10fd-4b9b-a662-2997cd397c59 · outbound

This paper cites Empirically, we observe a negligible decrease of downstream classification and segmentation performance, and a significant increase in speed.

Native Segmentation Vision Transformers Empirically, we observe a negligible decrease of downstream classification and segmentation performance, and a significant increase in speed

Reference 72

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:55:41.181944Z

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Observation 92b5b608-2b35-4808-89b9-bab8545c1252 · outbound

This paper cites An image of {CLASS }.

Native Segmentation Vision Transformers An image of {CLASS }

Reference 73

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:55:41.063393Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation e32f542a-07bc-4bab-b9e8-6397532cc881 · outbound

This paper cites an unresolved cited work.

Native Segmentation Vision Transformers Unresolved cited work

Reference 74

Resolution: unresolved; raw_fallback, observed 2026-08-07T14:55:40.952338Z

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Pith citing papers

Observation ade4aadf-4816-44a2-9198-566b2ec09f15 · inbound

Elastic Attention Cores for Scalable Vision Transformers cites this paper.

Elastic Attention Cores for Scalable Vision Transformers Native Segmentation Vision Transformers

Reference 118

Resolution: verified exact; arxiv_id, observed 2026-05-13T06:07:22.541489Z

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