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Paper Citation Record · LEDGER

MVTD: A Benchmark Dataset for Maritime Visual Object Tracking

As of 10 August 2026, this Paper Citation Record lists 82 of 82 outbound references and 0 inbound Pith citation observations for arXiv:2506.02866.

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

pith.paper-citation-record.v1
2506.02866 v1

Coverage vector

measured 82 of 82 reference resolution

Typed states for the displayed outbound observations.

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measured 82 of 82 standing notices

One-hop event checks from named stored sources.

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measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

82 of 82 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 72d64262-8da7-40ba-9ecc-b1c4d1d339be · outbound

This paper cites Rgbt tracking: A comprehensive review,.

MVTD: A Benchmark Dataset for Maritime Visual Object Tracking Rgbt tracking: A comprehensive review,

Reference 1

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Observation 8dc54221-2e70-4b32-a7dc-96ed886aeb33 · outbound

This paper cites Visual object tracking with discriminative filters and siamese networks: a survey and outlook,.

MVTD: A Benchmark Dataset for Maritime Visual Object Tracking Visual object tracking with discriminative filters and siamese networks: a survey and outlook,

Reference 2

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Observation 94ed1555-e807-4bd9-b6cb-b4c03d311c34 · outbound

This paper cites A robust method for multi object tracking in autonomous ship navigation systems,.

MVTD: A Benchmark Dataset for Maritime Visual Object Tracking A robust method for multi object tracking in autonomous ship navigation systems,

Reference 3

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Observation 138283f2-f9f6-4f06-beb0-9fb9a5fca773 · outbound

This paper cites A multi-stage heading control approach for autonomous usv navigation in gnss-denied environments with uav cooperation,.

MVTD: A Benchmark Dataset for Maritime Visual Object Tracking A multi-stage heading control approach for autonomous usv navigation in gnss-denied environments with uav cooperation,

Reference 4

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Observation 3a628130-946a-4e93-ab60-789badfe227f · outbound

This paper cites Novel pipeline integrating cross-modality and motion model for nearshore multi-object tracking in optical video surveillance,.

MVTD: A Benchmark Dataset for Maritime Visual Object Tracking Novel pipeline integrating cross-modality and motion model for nearshore multi-object tracking in optical video surveillance,

Reference 5

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Observation d33ccd0f-ba16-47c3-9260-8a34517d9440 · outbound

This paper cites Foundationpose: Unified 6d pose estimation and tracking of novel objects,.

MVTD: A Benchmark Dataset for Maritime Visual Object Tracking Foundationpose: Unified 6d pose estimation and tracking of novel objects,

Reference 6

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Observation c7acce09-5fd2-4a92-af3c-04c4b5efd47f · outbound

This paper cites Fractional tackles: leveraging player tracking data for within-play tackling evaluation in american football,.

MVTD: A Benchmark Dataset for Maritime Visual Object Tracking Fractional tackles: leveraging player tracking data for within-play tackling evaluation in american football,

Reference 7

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Observation a641070c-0bd2-456b-b1aa-0dc041850fe1 · outbound

This paper cites Tracking and navigation of a microswarm under laser speckle contrast imaging for targeted delivery,.

MVTD: A Benchmark Dataset for Maritime Visual Object Tracking Tracking and navigation of a microswarm under laser speckle contrast imaging for targeted delivery,

Reference 8

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Source-reported events for the cited work

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Observation 6a27bfa7-aa0f-4c25-a6b0-6fff678d5e5a · outbound

This paper cites Aquaculture defects recognition via multi-scale semantic segmentation,.

MVTD: A Benchmark Dataset for Maritime Visual Object Tracking Aquaculture defects recognition via multi-scale semantic segmentation,

Reference 9

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Observation 1841714f-688d-40ac-8a1f-0c075a768b19 · outbound

This paper cites Enhancing aquaculture net pen inspection: A benchmark study on detection and semantic segmentation,.

MVTD: A Benchmark Dataset for Maritime Visual Object Tracking Enhancing aquaculture net pen inspection: A benchmark study on detection and semantic segmentation,

Reference 10

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Observation 0def649f-a597-46ed-8ade-0e210df96727 · outbound

This paper cites Mula-gan: Multi-level attention gan for enhanced underwater visibility,.

MVTD: A Benchmark Dataset for Maritime Visual Object Tracking Mula-gan: Multi-level attention gan for enhanced underwater visibility,

Reference 11

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Observation cdd255d0-af6a-43cc-b65b-b9363025e45b · outbound

This paper cites Fishtrack: Multi- object tracking method for fish using spatiotemporal information fusion,.

MVTD: A Benchmark Dataset for Maritime Visual Object Tracking Fishtrack: Multi- object tracking method for fish using spatiotemporal information fusion,

Reference 12

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Observation b4b5a071-f237-4bec-8563-880deda0804b · outbound

This paper cites A guide to image- and video-based small object detection using deep learning: Case study of maritime surveillance,.

MVTD: A Benchmark Dataset for Maritime Visual Object Tracking A guide to image- and video-based small object detection using deep learning: Case study of maritime surveillance,

Reference 13

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Source-reported events for the cited work

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Observation d45686c1-c752-437b-afb3-b0fb844944b7 · outbound

This paper cites Fully-convolutional siamese networks for object tracking,.

MVTD: A Benchmark Dataset for Maritime Visual Object Tracking Fully-convolutional siamese networks for object tracking,

Reference 14

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Source-reported events for the cited work

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Observation 9611b904-ae62-466c-9a8c-73cd940ea14c · outbound

This paper cites Transformer tracking,.

MVTD: A Benchmark Dataset for Maritime Visual Object Tracking Transformer tracking,

Reference 15

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Source-reported events for the cited work

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Observation e5d70ec9-9677-408f-9bf0-849fabaae3a0 · outbound

This paper cites Adaptive text feature updating for visual- language tracking,.

MVTD: A Benchmark Dataset for Maritime Visual Object Tracking Adaptive text feature updating for visual- language tracking,

Reference 16

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Observation 761eb897-c893-4ef6-bea7-f075d1093896 · outbound

This paper cites Fast online object tracking and segmentation: A unifying approach,.

MVTD: A Benchmark Dataset for Maritime Visual Object Tracking Fast online object tracking and segmentation: A unifying approach,

Reference 17

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Observation d2872396-027d-4376-b905-30cdca42932b · outbound

This paper cites Siamese box adaptive network for visual tracking,.

MVTD: A Benchmark Dataset for Maritime Visual Object Tracking Siamese box adaptive network for visual tracking,

Reference 18

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Observation f7726ac4-67a0-475c-a66d-3ebd0467cbaf · outbound

This paper cites High performance visual tracking with siamese region proposal network,.

MVTD: A Benchmark Dataset for Maritime Visual Object Tracking High performance visual tracking with siamese region proposal network,

Reference 19

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Observation 28d11bb5-5196-4680-9bf1-e1f8c63303e8 · outbound

This paper cites Seqtrack: Sequence to sequence learning for visual object tracking,.

MVTD: A Benchmark Dataset for Maritime Visual Object Tracking Seqtrack: Sequence to sequence learning for visual object tracking,

Reference 20

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Observation e6437e05-ed20-44ce-88d4-1203107b1912 · outbound

This paper cites Exploring enhanced contextual information for video-level object tracking,.

MVTD: A Benchmark Dataset for Maritime Visual Object Tracking Exploring enhanced contextual information for video-level object tracking,

Reference 21

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Observation 75459162-0948-4923-b620-00945d65de3f · outbound

This paper cites Aittrack: Attention-based image-text align- ment for visual tracking,.

MVTD: A Benchmark Dataset for Maritime Visual Object Tracking Aittrack: Attention-based image-text align- ment for visual tracking,

Reference 22

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Observation 2d72dafc-eb79-4594-99bd-5c3382164537 · outbound

This paper cites Lasot: A high-quality benchmark for large-scale single object tracking,.

MVTD: A Benchmark Dataset for Maritime Visual Object Tracking Lasot: A high-quality benchmark for large-scale single object tracking,

Reference 23

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Observation 33e148c6-617e-4ca3-b89f-c170b0223e69 · outbound

This paper cites The seventh visual object tracking vot2019 challenge results,.

MVTD: A Benchmark Dataset for Maritime Visual Object Tracking The seventh visual object tracking vot2019 challenge results,

Reference 24

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Observation a2dff89e-fc7f-40bf-bc57-a620c79b4642 · outbound

This paper cites The sixth visual object tracking vot2018 challenge results,.

MVTD: A Benchmark Dataset for Maritime Visual Object Tracking The sixth visual object tracking vot2018 challenge results,

Reference 25

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Observation 4adc8998-6e43-4184-ae24-25cf99ea808d · outbound

This paper cites The eighth visual object tracking vot2020 challenge results,.

MVTD: A Benchmark Dataset for Maritime Visual Object Tracking The eighth visual object tracking vot2020 challenge results,

Reference 26

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Observation 8d6503e7-cdc1-4081-8405-23df954f22dc · outbound

This paper cites The ninth visual object tracking vot2021 challenge results,.

MVTD: A Benchmark Dataset for Maritime Visual Object Tracking The ninth visual object tracking vot2021 challenge results,

Reference 27

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Observation d52c11b5-a859-43ff-82dd-705abbcbdd45 · outbound

This paper cites The tenth visual object tracking vot2022 challenge results,.

MVTD: A Benchmark Dataset for Maritime Visual Object Tracking The tenth visual object tracking vot2022 challenge results,

Reference 28

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Source-reported events for the cited work

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Observation e939951d-94e3-4480-8b57-2381ed318fb6 · outbound

This paper cites The first visual object tracking segmentation vots2023 challenge results,.

MVTD: A Benchmark Dataset for Maritime Visual Object Tracking The first visual object tracking segmentation vots2023 challenge results,

Reference 29

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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.

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Observation 26247ee7-f816-41c0-aece-8c9f9468c38c · outbound

This paper cites Got-10k: A large high-diversity benchmark for generic object tracking in the wild,.

MVTD: A Benchmark Dataset for Maritime Visual Object Tracking Got-10k: A large high-diversity benchmark for generic object tracking in the wild,

Reference 30

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Source-reported events for the cited work

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Observation 9741de05-6083-44b3-9fe2-a1425a61c73a · outbound

This paper cites Track- ingnet: A large-scale dataset and benchmark for object tracking in the wild,.

MVTD: A Benchmark Dataset for Maritime Visual Object Tracking Track- ingnet: A large-scale dataset and benchmark for object tracking in the wild,

Reference 31

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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.

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Observation c29efd71-106e-4bb4-893d-dd87037f52f4 · outbound

This paper cites Lasot: A high-quality large-scale single object tracking benchmark,.

MVTD: A Benchmark Dataset for Maritime Visual Object Tracking Lasot: A high-quality large-scale single object tracking benchmark,

Reference 32

Resolution
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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.

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Observation c9fb9c33-d54b-4e82-bc24-22595f198d89 · outbound

This paper cites To- wards more flexible and accurate object tracking with natural language: Algorithms and benchmark,.

MVTD: A Benchmark Dataset for Maritime Visual Object Tracking To- wards more flexible and accurate object tracking with natural language: Algorithms and benchmark,

Reference 33

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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.

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Observation baf6a350-cece-4176-aa09-8c7aadd4d2ca · outbound

This paper cites Maritime mission planning for unmanned surface vessel using large language model,.

MVTD: A Benchmark Dataset for Maritime Visual Object Tracking Maritime mission planning for unmanned surface vessel using large language model,

Reference 34

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raw_fallback, observed 2026-08-07T11:17:32.765598Z

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.

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Observation 84065202-767d-419a-a84b-59e6c0adaf95 · outbound

This paper cites Benchmarking vision-based object tracking for usvs in complex maritime environments,.

MVTD: A Benchmark Dataset for Maritime Visual Object Tracking Benchmarking vision-based object tracking for usvs in complex maritime environments,

Reference 35

Resolution
unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation f9848017-1427-4ca5-a0f5-2c2f8d082d0e · outbound

This paper cites Video processing from electro-optical sensors for object detection and tracking in a maritime environment: A survey,.

MVTD: A Benchmark Dataset for Maritime Visual Object Tracking Video processing from electro-optical sensors for object detection and tracking in a maritime environment: A survey,

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:17:32.638760Z

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.

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Observation dc4f3bb0-d6d2-4a8f-bd80-8bb305842aeb · outbound

This paper cites Vision-based autonomous navi- gation for unmanned surface vessel in extreme marine conditions,.

MVTD: A Benchmark Dataset for Maritime Visual Object Tracking Vision-based autonomous navi- gation for unmanned surface vessel in extreme marine conditions,

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:17:32.433969Z

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.

source=pdf_text observed=2026-08-07T11:17:20.963662Z digest=sha256:ce19b20b7bcfcabffdef9c36dc919db136be4b7032d80123ba73cb38026f85d7

Observation 548def0b-6d48-4129-a301-dd64f945e8c8 · outbound

This paper cites A review of intelligent ship marine object detection based on rgb camera,.

MVTD: A Benchmark Dataset for Maritime Visual Object Tracking A review of intelligent ship marine object detection based on rgb camera,

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:17:32.297285Z

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.

source=pdf_text observed=2026-08-07T11:17:21.062541Z digest=sha256:b1fee10c7ead5cb076452f51d38bcb6d569e07921cd88d4bd2b9bfbe00281ce2

Observation 356cf132-2fd3-4dbb-856c-a72aea2dada7 · outbound

This paper cites Exploring the behavior feature of complex trajectories of ships with fourier transform processing: a case from fishing vessels,.

MVTD: A Benchmark Dataset for Maritime Visual Object Tracking Exploring the behavior feature of complex trajectories of ships with fourier transform processing: a case from fishing vessels,

Reference 39

Resolution
verified fuzzy
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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.

source=pdf_text observed=2026-08-07T11:17:21.159992Z digest=sha256:9b2d37198e438017fab1ba23507bc8a4d7df2cabab0624e53af185ee7722e90a

Observation c6d1f242-f9fe-4d27-ae72-e28948c0c78d · outbound

This paper cites Visual object tracking: A survey,.

MVTD: A Benchmark Dataset for Maritime Visual Object Tracking Visual object tracking: A survey,

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:17:31.921544Z

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.

source=pdf_text observed=2026-08-07T11:17:21.194682Z digest=sha256:5836a2b371b18bd5b7ffc697013a0532a1d92fd0b0a4bb2168ce1f6443fe5343

Observation 93c8cad8-54ea-4866-aeeb-a9d31a625483 · outbound

This paper cites Online object tracking: A benchmark,.

MVTD: A Benchmark Dataset for Maritime Visual Object Tracking Online object tracking: A benchmark,

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:17:31.729814Z

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.

source=pdf_text observed=2026-08-07T11:17:21.271841Z digest=sha256:aca3e55c14a73a9054cb557ba8d3cefb629fb4080d8093a1d7170972dba0581c

Observation 23e44d80-8b3a-4ecc-9768-8a9cf7c78aa4 · outbound

This paper cites Object tracking benchmark,.

MVTD: A Benchmark Dataset for Maritime Visual Object Tracking Object tracking benchmark,

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:17:31.596453Z

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.

source=pdf_text observed=2026-08-07T11:17:21.348947Z digest=sha256:1ed113f7f5fe99b1fbc72aedaa8f983dc230b8f1c8b0b8ecd7b8ab97c011e3ca

Observation b0593b4b-e216-4197-b6a9-33048be78d9b · outbound

This paper cites Encoding color information for visual tracking: Algorithms and benchmark,.

MVTD: A Benchmark Dataset for Maritime Visual Object Tracking Encoding color information for visual tracking: Algorithms and benchmark,

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:17:31.438800Z

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.

source=pdf_text observed=2026-08-07T11:17:21.406379Z digest=sha256:4b2628ff04afa50640763d2511e0093f5058195a5a64542b22d9602da10d3ed2

Observation 1479f724-b518-4084-a0db-0612fc9f9021 · outbound

This paper cites Nus-pro: A new visual tracking challenge,.

MVTD: A Benchmark Dataset for Maritime Visual Object Tracking Nus-pro: A new visual tracking challenge,

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:17:31.291785Z

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.

source=pdf_text observed=2026-08-07T11:17:21.460082Z digest=sha256:bd876dec9a40c724989effe2e67f999629f3ad0e7d7b8a8ffcf7ad93483211b6

Observation 0cd39923-6ad8-4a40-9fc5-1306508dca05 · outbound

This paper cites A benchmark and simulator for uav tracking,.

MVTD: A Benchmark Dataset for Maritime Visual Object Tracking A benchmark and simulator for uav tracking,

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:17:31.175016Z

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.

source=pdf_text observed=2026-08-07T11:17:21.546223Z digest=sha256:63820d19b24e624f9c3dac44e99dffa6616ac5d49e8ae133795ccb502b7cc4dd

Observation 6b4e59e1-87cb-4174-84f0-32c6c50ba7c9 · outbound

This paper cites Need for speed: A benchmark for higher frame rate object tracking,.

MVTD: A Benchmark Dataset for Maritime Visual Object Tracking Need for speed: A benchmark for higher frame rate object tracking,

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:17:31.033047Z

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.

source=pdf_text observed=2026-08-07T11:17:21.587825Z digest=sha256:449bd7294e50e3860bdada87d71d6a6b9a58e8b62adf7b37f47a7926f6398953

Observation 1316f762-9bb9-4e36-a85f-7a9ccd59e55e · outbound

This paper cites Cdtb: A color and depth visual object tracking dataset and benchmark,.

MVTD: A Benchmark Dataset for Maritime Visual Object Tracking Cdtb: A color and depth visual object tracking dataset and benchmark,

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:17:30.878751Z

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.

source=pdf_text observed=2026-08-07T11:17:21.632783Z digest=sha256:4192969ac864d94e4337c4911970922b04a3340ee96ef9dcc649fbe56836fafd

Observation aaf984d6-f086-4e63-9905-d28d79a1b4c6 · outbound

This paper cites Seadronessee: A maritime benchmark for detecting humans in open water,.

MVTD: A Benchmark Dataset for Maritime Visual Object Tracking Seadronessee: A maritime benchmark for detecting humans in open water,

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:17:30.750911Z

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.

source=pdf_text observed=2026-08-07T11:17:21.673443Z digest=sha256:5e1881279f86f11b11954e02ea705efb648fccac5cee670e0db4e10a22b03cca

Observation 4c3ec4b0-b121-4279-bbda-b8ae7c430948 · outbound

This paper cites PoLaRIS Dataset: A Maritime Object Detection and Tracking Dataset in Pohang Canal.

MVTD: A Benchmark Dataset for Maritime Visual Object Tracking PoLaRIS Dataset: A Maritime Object Detection and Tracking Dataset in Pohang Canal

Reference 49

Resolution
verified exact
local_arxiv, observed 2026-08-07T11:17:24.754743Z

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.

source=pdf_text observed=2026-08-07T11:17:21.752678Z digest=sha256:38b1ad39f75dc76c1cc02f17eae6bb8fe1a57013fe966fc295ea8587107e202f

Observation 4759b6d0-941b-410a-ab39-b1b7c87083aa · outbound

This paper cites Learning multi-domain convolutional neural networks for visual tracking,.

MVTD: A Benchmark Dataset for Maritime Visual Object Tracking Learning multi-domain convolutional neural networks for visual tracking,

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:17:30.592192Z

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.

source=pdf_text observed=2026-08-07T11:17:21.798157Z digest=sha256:5be6e10f9d48f208f16ffe6b3aa86d013d3deb1a8b6498a9db04a91785956d0a

Observation d25539b9-c9a2-4d87-9544-7aeca052674c · outbound

This paper cites Learning spatio-temporal discrimina- tive model for affine subspace based visual object tracking,.

MVTD: A Benchmark Dataset for Maritime Visual Object Tracking Learning spatio-temporal discrimina- tive model for affine subspace based visual object tracking,

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:17:30.462886Z

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.

source=pdf_text observed=2026-08-07T11:17:21.885512Z digest=sha256:f2eb257f74e88c843080aecf6a19f0064481f68f62237615c6fe565d1f01e898

Observation 4620bd20-f619-4273-b4a7-216ec1200e10 · outbound

This paper cites Siamese instance search for tracking,.

MVTD: A Benchmark Dataset for Maritime Visual Object Tracking Siamese instance search for tracking,

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:17:30.310278Z

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.

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Observation 777e50e3-e2ca-4692-b1ce-57e579a32a03 · outbound

This paper cites Topology-aware universal adversarial attack on 3d object tracking,.

MVTD: A Benchmark Dataset for Maritime Visual Object Tracking Topology-aware universal adversarial attack on 3d object tracking,

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:17:30.181767Z

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.

source=pdf_text observed=2026-08-07T11:17:22.178962Z digest=sha256:1cc893056c53bb72d9cb2dda03ba349f56164684f07d82a439af9c1148f0a1b1

Observation 82ddc1dc-2821-4e62-bbc6-ddec4c17bbb6 · outbound

This paper cites Ocean: Object-aware anchor-free tracking,.

MVTD: A Benchmark Dataset for Maritime Visual Object Tracking Ocean: Object-aware anchor-free tracking,

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:17:30.036207Z

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.

source=pdf_text observed=2026-08-07T11:17:22.297093Z digest=sha256:2980949995b5d773bc5361fd18620d4b17d55ad695f266a4cbd88ecd79e0caac

Observation 2f3b4207-b39e-4988-8c59-df918a32e245 · outbound

This paper cites Learn to match: Automatic matching network design for visual tracking,.

MVTD: A Benchmark Dataset for Maritime Visual Object Tracking Learn to match: Automatic matching network design for visual tracking,

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:17:29.863642Z

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.

source=pdf_text observed=2026-08-07T11:17:22.418109Z digest=sha256:76a48294d5b8492876ae3a371975a0cf94a9e0c3bc0526c264222759ae9220ea

Observation b93eb06a-fd51-457f-98a4-20d1ad38eeac · outbound

This paper cites Atom: Accurate tracking by overlap maximization,.

MVTD: A Benchmark Dataset for Maritime Visual Object Tracking Atom: Accurate tracking by overlap maximization,

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:17:29.740422Z

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.

source=pdf_text observed=2026-08-07T11:17:22.561379Z digest=sha256:23170b6b4485211e17c0bbfbe244d660e25168e7dba8c1d8f17623b1db9b8191

Observation 2a295c2b-4030-4217-b429-d9eaddaeeee2 · outbound

This paper cites Learning discrim- inative model prediction for tracking,.

MVTD: A Benchmark Dataset for Maritime Visual Object Tracking Learning discrim- inative model prediction for tracking,

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:17:29.532266Z

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.

source=pdf_text observed=2026-08-07T11:17:22.670265Z digest=sha256:b650a97799540355fc579344ba38ea03f1f3bedaeac7583839e393331c8c03c6

Observation cf68c376-e202-4e77-af55-3592b4f55561 · outbound

This paper cites Probabilistic regression for visual tracking,.

MVTD: A Benchmark Dataset for Maritime Visual Object Tracking Probabilistic regression for visual tracking,

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:17:29.336514Z

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.

source=pdf_text observed=2026-08-07T11:17:22.797629Z digest=sha256:b6d89902e4494bce4010c761e13755b92a67eef98674c188b4a495f50de334df

Observation 0929adbc-a943-451e-9e0d-bf6a4bc0aa75 · outbound

This paper cites Transformer meets tracker: Exploiting temporal context for robust visual tracking,.

MVTD: A Benchmark Dataset for Maritime Visual Object Tracking Transformer meets tracker: Exploiting temporal context for robust visual tracking,

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:17:29.129343Z

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.

source=pdf_text observed=2026-08-07T11:17:23.022769Z digest=sha256:8a2f3b7020282d2f1df5875afbb6d8edd6038e9cf52b306f804eef35dacc55f9

Observation 2097795a-4fab-403e-b094-23f48a19e16f · outbound

This paper cites Transformer tracking,.

MVTD: A Benchmark Dataset for Maritime Visual Object Tracking Transformer tracking,

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:17:28.911001Z

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.

source=pdf_text observed=2026-08-07T11:17:23.158443Z digest=sha256:6f70858e79633d2eb7db826ff6e21310f83ae3c28b047a2978980c56fab29ccc

Observation 900cdfea-c11d-49cd-864e-4ccb93c1089b · outbound

This paper cites Transforming model prediction for tracking,.

MVTD: A Benchmark Dataset for Maritime Visual Object Tracking Transforming model prediction for tracking,

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:17:28.751726Z

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.

source=pdf_text observed=2026-08-07T11:17:23.320451Z digest=sha256:f8952d4213acbaf0785509bb13ebde597da4157c44702e467e436a7500731ffc

Observation 4a895dc4-f66a-4227-90e8-55f23885cc18 · outbound

This paper cites Aiatrack: Attention in attention for transformer visual tracking,.

MVTD: A Benchmark Dataset for Maritime Visual Object Tracking Aiatrack: Attention in attention for transformer visual tracking,

Reference 62

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:17:28.531500Z

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.

source=pdf_text observed=2026-08-07T11:17:23.486774Z digest=sha256:ff1ad8b04d7ab754946682fa0e6096bd5f175a5cf53510e3481d65f2ff0370df

Observation a369d3d3-45ee-494c-9081-8db88037861c · outbound

This paper cites Backbone is all your need: A simplified architecture for visual object tracking,.

MVTD: A Benchmark Dataset for Maritime Visual Object Tracking Backbone is all your need: A simplified architecture for visual object tracking,

Reference 63

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:17:28.361870Z

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.

source=pdf_text observed=2026-08-07T11:17:23.605946Z digest=sha256:dc5f209ef355bf4a7b8db78464e2ec5b953b4f35d803cd384b040b7404c06e61

Observation ebe4fc5f-7680-470f-8e4c-237e4a4397ee · outbound

This paper cites Joint feature learning and relation modeling for tracking: A one-stream framework,.

MVTD: A Benchmark Dataset for Maritime Visual Object Tracking Joint feature learning and relation modeling for tracking: A one-stream framework,

Reference 64

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:17:28.220153Z

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.

source=pdf_text observed=2026-08-07T11:17:23.724317Z digest=sha256:16068a32faedbb6fbfbb5e66f1d7b77b46bea9d7cfaa8057babe1f23c99342ba

Observation 0a6ccac3-a5d6-4713-b194-07523255eb62 · outbound

This paper cites Learning from images: A distillation learning framework for event cameras,.

MVTD: A Benchmark Dataset for Maritime Visual Object Tracking Learning from images: A distillation learning framework for event cameras,

Reference 65

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:17:28.039366Z

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.

source=pdf_text observed=2026-08-07T11:17:23.800353Z digest=sha256:c6673afc7f1e56c34ae3e9c6af2d080ffc1a50b6606c9c9f49ea03094579ff95

Observation e6f2696c-478e-4956-a132-7a09bb0b5f3b · outbound

This paper cites Distilled siamese networks for visual tracking,.

MVTD: A Benchmark Dataset for Maritime Visual Object Tracking Distilled siamese networks for visual tracking,

Reference 66

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:17:27.900266Z

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.

source=pdf_text observed=2026-08-07T11:17:23.888204Z digest=sha256:e8f4fdfa7315d16de2641a7241d6cfe5c6e4d44486ba0341be92dbe7fad85926

Observation 531ef900-cf4c-40d8-aba4-c21bc76fa75a · outbound

This paper cites Teacher-student knowledge distillation for real-time correlation tracking,.

MVTD: A Benchmark Dataset for Maritime Visual Object Tracking Teacher-student knowledge distillation for real-time correlation tracking,

Reference 67

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:17:27.785427Z

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.

source=pdf_text observed=2026-08-07T11:17:23.983731Z digest=sha256:611a2b4de13368850118cd935b7d6e1609ddf5d3d0a71057b8f59d8b0cf810e9

Observation 437f1082-9984-4782-ba81-93be72e5bb0c · outbound

This paper cites Ensemble learning with siamese networks for visual tracking,.

MVTD: A Benchmark Dataset for Maritime Visual Object Tracking Ensemble learning with siamese networks for visual tracking,

Reference 68

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:17:27.581323Z

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.

source=pdf_text observed=2026-08-07T11:17:24.013818Z digest=sha256:a42f64a7dcf4393824c7f6be9cbdead98d634e85edf1621e47fd7e968a022d1d

Observation cfd51aad-b33e-473c-8450-37334a6d790b · outbound

This paper cites Unsupervised cross-modal distillation for thermal infrared tracking,.

MVTD: A Benchmark Dataset for Maritime Visual Object Tracking Unsupervised cross-modal distillation for thermal infrared tracking,

Reference 69

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:17:27.338079Z

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.

source=pdf_text observed=2026-08-07T11:17:24.067559Z digest=sha256:42fd3056fdb85a07a1498791744e767274b66e86adeb763a736ed2a9270a900f

Observation 4556df3e-30dc-4cfd-9a56-ade84523c178 · outbound

This paper cites Real-time correlation tracking via joint model compression and transfer,.

MVTD: A Benchmark Dataset for Maritime Visual Object Tracking Real-time correlation tracking via joint model compression and transfer,

Reference 70

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:17:27.051328Z

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.

source=pdf_text observed=2026-08-07T11:17:24.100213Z digest=sha256:c97ccd59a16a9f50b24a435c6c3da52cc4af9cbc467ea2adb0d6a598d7a30577

Observation 7851b8c0-89cc-4a25-aea1-8f39a2945346 · outbound

This paper cites Distillation, ensemble and selection for building a better and faster siamese based tracker,.

MVTD: A Benchmark Dataset for Maritime Visual Object Tracking Distillation, ensemble and selection for building a better and faster siamese based tracker,

Reference 71

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:17:26.758458Z

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.

source=pdf_text observed=2026-08-07T11:17:24.145054Z digest=sha256:7fce7958aa26c2f8a6c4adece56f716571263c0ea1c748e00c9c3c9443fc19dc

Observation 57b6beae-e829-4865-b823-d3b85d69a885 · outbound

This paper cites Distilling channels for efficient deep tracking,.

MVTD: A Benchmark Dataset for Maritime Visual Object Tracking Distilling channels for efficient deep tracking,

Reference 72

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:17:26.479384Z

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.

source=pdf_text observed=2026-08-07T11:17:24.181643Z digest=sha256:90e16cfd4e7598d2389f39f2172586a812018979c83b25657a435182ba0e18f7

Observation 7eeeceef-acca-4aef-8716-acf827466c4a · outbound

This paper cites Hiptrack: Visual tracking with historical prompts,.

MVTD: A Benchmark Dataset for Maritime Visual Object Tracking Hiptrack: Visual tracking with historical prompts,

Reference 73

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:17:26.178942Z

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.

source=pdf_text observed=2026-08-07T11:17:24.222109Z digest=sha256:74321f1cc5bc1655cc8237245cc19a49acc6d8f15a7b85e6bfeee841c9a3b632

Observation 04d6bab4-d653-487e-9d3a-b719656686d4 · outbound

This paper cites Autoregressive queries for adaptive tracking with spatio-temporal trans- formers,.

MVTD: A Benchmark Dataset for Maritime Visual Object Tracking Autoregressive queries for adaptive tracking with spatio-temporal trans- formers,

Reference 74

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:17:25.897378Z

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.

source=pdf_text observed=2026-08-07T11:17:24.259189Z digest=sha256:276564f7cace45482d95bb2fb974871bfe7a46a718a535ea1c6c8bf12240ea4d

Observation e85979ae-fb1c-448c-87b1-63db91576dce · outbound

This paper cites Correlation-Embedded Transformer Tracking: A Single-Branch Framework.

MVTD: A Benchmark Dataset for Maritime Visual Object Tracking Correlation-Embedded Transformer Tracking: A Single-Branch Framework

Reference 75

Resolution
unresolved
no resolver link, observed 2026-08-07T11:17:24.319775Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:17:24.319775Z digest=sha256:44b02c364b740c2c21f4f35d0d9b7e219c42b0c8de68320abe372da17ac81e1f

Observation 70a606c1-5bd6-4017-9f64-807a88b68fb8 · outbound

This paper cites Odtrack: Online dense temporal token learning for visual tracking,.

MVTD: A Benchmark Dataset for Maritime Visual Object Tracking Odtrack: Online dense temporal token learning for visual tracking,

Reference 76

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:17:25.727052Z

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.

source=pdf_text observed=2026-08-07T11:17:24.358921Z digest=sha256:6e7d16843512342329f2c834dd8955d682dbf3b9c3d08ed658077afcbad2ff2a

Observation 98b337d4-1746-4e61-8741-5a7b10b611a9 · outbound

This paper cites Artrackv2: Prompting autore- gressive tracker where to look and how to describe,.

MVTD: A Benchmark Dataset for Maritime Visual Object Tracking Artrackv2: Prompting autore- gressive tracker where to look and how to describe,

Reference 77

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:17:25.565784Z

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.

source=pdf_text observed=2026-08-07T11:17:24.396362Z digest=sha256:6308dbfcf2ef08641d2e687c8c58fd31cbfd7fa356a534a6c5f4b1483eb601c8

Observation fdc85ace-af0c-40c7-848e-0245575f0b55 · outbound

This paper cites Autoregressive visual tracking,.

MVTD: A Benchmark Dataset for Maritime Visual Object Tracking Autoregressive visual tracking,

Reference 78

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:17:25.404767Z

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.

source=pdf_text observed=2026-08-07T11:17:24.428685Z digest=sha256:0d0a377f57f7bbe2e9b6fd3dec01ad977e1fc9dadd2c968ad3ca49a4f38c68cc

Observation 63dc7d59-8d46-4c1c-b030-32e01887cd1a · outbound

This paper cites Efficient visual tracking with exemplar transformers,.

MVTD: A Benchmark Dataset for Maritime Visual Object Tracking Efficient visual tracking with exemplar transformers,

Reference 79

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:17:25.224170Z

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.

source=pdf_text observed=2026-08-07T11:17:24.462007Z digest=sha256:ec6ee17ca1192b4dd1ba0f046b5b54a5ccb9f7aec955ae180ee291f5f744604f

Observation 4042e27f-8dcd-4ecd-9ad2-c532c405c253 · outbound

This paper cites Generalized relation modeling for transformer tracking,.

MVTD: A Benchmark Dataset for Maritime Visual Object Tracking Generalized relation modeling for transformer tracking,

Reference 80

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:17:25.108944Z

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.

source=pdf_text observed=2026-08-07T11:17:24.495153Z digest=sha256:1f9f1139da658252256b87f81fa757077f7c97c40aff03c0bce2e997a4106aae

Observation 5aef9b21-7125-4926-bf88-979f36c1e63f · outbound

This paper cites Towards sequence-level training for visual tracking,.

MVTD: A Benchmark Dataset for Maritime Visual Object Tracking Towards sequence-level training for visual tracking,

Reference 81

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:17:24.992228Z

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.

source=pdf_text observed=2026-08-07T11:17:24.575298Z digest=sha256:156dc2448c0efeb5258308271ed0df7b488fd1cb90020d5eb05685080001585b

Observation b6de7d47-a4f2-4e3e-a4bc-192603d4e057 · outbound

This paper cites Learning spatio-temporal transformer for visual tracking,.

MVTD: A Benchmark Dataset for Maritime Visual Object Tracking Learning spatio-temporal transformer for visual tracking,

Reference 82

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:17:24.871802Z

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.

source=pdf_text observed=2026-08-07T11:17:24.615951Z digest=sha256:5177961b3beba8de1e7de7a95a803eeff2f85a2cd64888f1c0dea62d3b7ead30

Pith citing papers

No inbound Pith citation observations are available.