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Paper Citation Record · LEDGER

Mamba-FETrack V2: Revisiting State Space Model for Frame-Event based Visual Object Tracking

As of 8 August 2026, this Paper Citation Record lists 75 of 75 outbound references and 3 inbound Pith citation observations for arXiv:2506.23783.

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

pith.paper-citation-record.v1
2506.23783 v1

Coverage vector

measured 75 of 75 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T21:38:17.192543Z

measured 78 of 78 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 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T21:00:49.427937Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T15:59:56.411212Z

Reference resolution

75 of 75 outbound references displayed

  • verified exact2
  • verified fuzzy62
  • unresolved11
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation f810aece-d2b6-4a3a-aca6-29d46cc3b64d · outbound

This paper cites Augment one with others: Gener- alizing to unforeseen variations for visual tracking,.

Mamba-FETrack V2: Revisiting State Space Model for Frame-Event based Visual Object Tracking Augment one with others: Gener- alizing to unforeseen variations for visual tracking,

Reference 1

Resolution
verified fuzzy
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Source-reported events for the cited work

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

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Observation a6bac2f0-40d1-402e-b0d5-35ca559d4ba9 · outbound

This paper cites Improving visual object tracking through visual prompting,.

Mamba-FETrack V2: Revisiting State Space Model for Frame-Event based Visual Object Tracking Improving visual object tracking through visual prompting,

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:38:30.678410Z

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.

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Observation 988c72fa-6432-4813-96e3-613372a5cb3d · outbound

This paper cites Local fine-grained visual tracking,.

Mamba-FETrack V2: Revisiting State Space Model for Frame-Event based Visual Object Tracking Local fine-grained visual tracking,

Reference 3

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raw_fallback, observed 2026-08-06T21:38:30.446348Z

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.

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Observation 02416867-b305-4828-9326-513c5a69c2d3 · outbound

This paper cites Linker: Learning long short-term associations for robust visual tracking,.

Mamba-FETrack V2: Revisiting State Space Model for Frame-Event based Visual Object Tracking Linker: Learning long short-term associations for robust visual tracking,

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:38:30.174690Z

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.

source=pdf_text observed=2026-08-06T21:38:09.896020Z digest=sha256:509d00302871b8cefab7f947aba43c7423d3f5239480625fd87fddc72cb1ea82

Observation 907e7bab-5cee-44a1-a9ef-a6e0ade9ebdb · outbound

This paper cites Revisiting Color-Event based Tracking: A Unified Network, Dataset, and Metric.

Mamba-FETrack V2: Revisiting State Space Model for Frame-Event based Visual Object Tracking Revisiting Color-Event based Tracking: A Unified Network, Dataset, and Metric

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-06T21:38:10.053888Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:38:10.053888Z digest=sha256:4f03359ffa01156da16f46559c5a37bf7452ca1feebf02df774747071f7e85a5

Observation e7fe6e00-6fed-4c50-8801-617dea0aa812 · outbound

This paper cites Frame- event alignment and fusion network for high frame rate tracking,.

Mamba-FETrack V2: Revisiting State Space Model for Frame-Event based Visual Object Tracking Frame- event alignment and fusion network for high frame rate tracking,

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:38:29.918966Z

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.

source=pdf_text observed=2026-08-06T21:38:10.184661Z digest=sha256:f2c8af2196698876e3bb403637022b2c0b7c2f0be7f513ab92c2c4ffe77ad5a2

Observation a3c17a08-a1e1-41de-97a2-6a5e35ca06fb · outbound

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

Mamba-FETrack V2: Revisiting State Space Model for Frame-Event based Visual Object Tracking Gradient-based learning applied to document recognition,

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-06T21:38:10.328705Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:38:10.328705Z digest=sha256:4bc853e1b19f4e6c3b623aedc6384e293f4bcb5aec0f69e0823a09791a518e2d

Observation 45b6e34d-d70a-44a8-84a1-f43ed6425d17 · outbound

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

Mamba-FETrack V2: Revisiting State Space Model for Frame-Event based Visual Object Tracking Atom: Accurate tracking by overlap maximization,

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:38:29.646858Z

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.

source=pdf_text observed=2026-08-06T21:38:10.445352Z digest=sha256:b77ff2e414991812b3275793326e35eda2d4fc431e9fd743c447a6de762d6653

Observation 46db73e7-8f7e-4ebb-97c9-883421c25e2f · outbound

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

Mamba-FETrack V2: Revisiting State Space Model for Frame-Event based Visual Object Tracking Learning discrim- inative model prediction for tracking,

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:38:29.449551Z

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.

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Observation 88afb94a-ff12-4c43-b723-d9be30e97fb0 · outbound

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

Mamba-FETrack V2: Revisiting State Space Model for Frame-Event based Visual Object Tracking Ocean: Object-aware anchor-free tracking,

Reference 10

Resolution
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raw_fallback, observed 2026-08-06T21:38:29.290269Z

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.

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Observation abdf0377-85e9-44ec-9c97-b2e7021cbf36 · outbound

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

Mamba-FETrack V2: Revisiting State Space Model for Frame-Event based Visual Object Tracking An image is worth 16x16 words: Transformers for image recognition at scale,

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:38:29.072931Z

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.

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Observation 91cd0252-ffaa-42a3-a187-e0f395380f04 · outbound

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

Mamba-FETrack V2: Revisiting State Space Model for Frame-Event based Visual Object Tracking Learning spatio-temporal transformer for visual tracking,

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:38:28.926534Z

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.

source=pdf_text observed=2026-08-06T21:38:11.049998Z digest=sha256:de59413e12eb06d77c9f8979b95e5865c5394112626437d642beb280f0d3adaf

Observation c2c69cf4-a723-49bf-b688-8aca724b5c4f · outbound

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

Mamba-FETrack V2: Revisiting State Space Model for Frame-Event based Visual Object Tracking Aiatrack: Attention in attention for transformer visual tracking,

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:38:28.745829Z

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.

source=pdf_text observed=2026-08-06T21:38:11.205735Z digest=sha256:1d7db4f2c549f516fce730e28ff479a97cf436700c2c89cec02324f12aaa8d4c

Observation 4b1a8e8b-1637-4a75-b286-afce726a352c · outbound

This paper cites Swintrack: A simple and strong baseline for transformer tracking,.

Mamba-FETrack V2: Revisiting State Space Model for Frame-Event based Visual Object Tracking Swintrack: A simple and strong baseline for transformer tracking,

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-06T21:38:11.315330Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:38:11.315330Z digest=sha256:eb40fd53d6091d4d8c5ca53da146de43948891e58bba720e8ae35e15b734d764

Observation 0be70784-e476-481a-bddc-53679047db8a · outbound

This paper cites Efficiently modeling long sequences with structured state spaces,.

Mamba-FETrack V2: Revisiting State Space Model for Frame-Event based Visual Object Tracking Efficiently modeling long sequences with structured state spaces,

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:38:28.573319Z

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.

source=pdf_text observed=2026-08-06T21:38:11.386263Z digest=sha256:0767e7cc9b30ff8ad9c58a6535a60680f64b850f3da2efa731dc20f0cbc3f2bc

Observation be544064-da59-4a99-8071-3ebcf12b2815 · outbound

This paper cites Vision mamba: Efficient visual representation learning with bidirectional state space model,.

Mamba-FETrack V2: Revisiting State Space Model for Frame-Event based Visual Object Tracking Vision mamba: Efficient visual representation learning with bidirectional state space model,

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:38:28.403273Z

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.

source=pdf_text observed=2026-08-06T21:38:11.485231Z digest=sha256:85ca7d92bdbe9d3ad9d97d21ceb429e949dcb41bbb25be42500c1fbd4bb372bd

Observation 7bbcffb5-9233-4771-8e86-32c6652e9938 · outbound

This paper cites Vmamba: Visual state space model,.

Mamba-FETrack V2: Revisiting State Space Model for Frame-Event based Visual Object Tracking Vmamba: Visual state space model,

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-06T21:38:11.585160Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:38:11.585160Z digest=sha256:8e45bbd8147a069a0def8c64e2995e0a34f17d42d1ce76d88c997e5bcf99320b

Observation 88631db8-b709-4b23-8030-26e6d68129d0 · outbound

This paper cites Mambavision: A hybrid mamba- transformer vision backbone,.

Mamba-FETrack V2: Revisiting State Space Model for Frame-Event based Visual Object Tracking Mambavision: A hybrid mamba- transformer vision backbone,

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-06T21:38:11.695197Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:38:11.695197Z digest=sha256:0a33f5f8cd9478c84096e46d9e1b638e8e6ed6c25c6d1584ba29f64aebd9f3cd

Observation 9d4cbfe3-d586-4d0f-91fa-453b80f186e3 · outbound

This paper cites Pre- train, prompt, and predict: A systematic survey of prompting methods in natural language processing,.

Mamba-FETrack V2: Revisiting State Space Model for Frame-Event based Visual Object Tracking Pre- train, prompt, and predict: A systematic survey of prompting methods in natural language processing,

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:38:28.131618Z

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.

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Observation 3f1a18fe-9a7d-45cd-9cb8-4f920e931d10 · outbound

This paper cites Mambairv2: Attentive state space restoration,.

Mamba-FETrack V2: Revisiting State Space Model for Frame-Event based Visual Object Tracking Mambairv2: Attentive state space restoration,

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:38:27.934415Z

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.

source=pdf_text observed=2026-08-06T21:38:11.870564Z digest=sha256:b12c4fd88644d5257f9f36f9105bb0a1547f057659e7255ed24a39f0e0617e83

Observation ffcf2fac-475b-462f-8528-c8462438774f · outbound

This paper cites Mamba- fetrack: Frame-event tracking via state space model,.

Mamba-FETrack V2: Revisiting State Space Model for Frame-Event based Visual Object Tracking Mamba- fetrack: Frame-event tracking via state space model,

Reference 21

Resolution
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no resolver link, observed 2026-08-06T21:38:11.952498Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:38:11.952498Z digest=sha256:9f0437036faacf8c5999a59599dd78943726b8776403209b60bb66f7db9f762a

Observation 00cf5997-01ae-49b7-a459-851114d44681 · outbound

This paper cites Awesome Multi-modal Object Tracking.

Mamba-FETrack V2: Revisiting State Space Model for Frame-Event based Visual Object Tracking Awesome Multi-modal Object Tracking

Reference 22

Resolution
verified exact
local_arxiv, observed 2026-08-06T21:38:17.730988Z

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.

source=pdf_text observed=2026-08-06T21:38:12.033171Z digest=sha256:2db81aa3a7264a66a44033f8dfe32dae96384257c9c13ef9098b1a966d4dc9be

Observation 82982036-3872-46d8-a024-d3183cc5c650 · outbound

This paper cites A survey on visual mamba,.

Mamba-FETrack V2: Revisiting State Space Model for Frame-Event based Visual Object Tracking A survey on visual mamba,

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:38:27.673945Z

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.

source=pdf_text observed=2026-08-06T21:38:12.112344Z digest=sha256:0ee7077d9bfd1770930e325224961e35f310c319f1fb79332db5cd6292a734c1

Observation 225d16ac-2b7b-4705-9218-edeb165d6f2b · outbound

This paper cites Prompt learning in computer vision: a survey,.

Mamba-FETrack V2: Revisiting State Space Model for Frame-Event based Visual Object Tracking Prompt learning in computer vision: a survey,

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:38:27.438429Z

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.

source=pdf_text observed=2026-08-06T21:38:12.192795Z digest=sha256:9c2e217b0b4feaa95cff7afd55374c059b32c427d682d47101a086791e3290ca

Observation cc7f4305-d06c-4930-8f2f-109f3216c99f · outbound

This paper cites State Space Model for New-Generation Network Alternative to Transformers: A Survey.

Mamba-FETrack V2: Revisiting State Space Model for Frame-Event based Visual Object Tracking State Space Model for New-Generation Network Alternative to Transformers: A Survey

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-06T21:38:12.271620Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:38:12.271620Z digest=sha256:93452ffcdff17e7794a7d1ea569dbc2ad92bc45bcf3a75342b40286b29d03810

Observation 2dbb0a4f-806d-47b0-ac73-e1ac3d35b5bf · outbound

This paper cites Object tracking by jointly exploiting frame and event domain,.

Mamba-FETrack V2: Revisiting State Space Model for Frame-Event based Visual Object Tracking Object tracking by jointly exploiting frame and event domain,

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:38:27.170847Z

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.

source=pdf_text observed=2026-08-06T21:38:12.375906Z digest=sha256:a80fe377b4a607fb4f46e8af559cc25f7d98740b8fff032d195e65fc53c94b76

Observation 4ebaba5b-20a0-41b8-a029-059bebb3e03a · outbound

This paper cites Visevent: Reliable object tracking via collaboration of frame and event flows,.

Mamba-FETrack V2: Revisiting State Space Model for Frame-Event based Visual Object Tracking Visevent: Reliable object tracking via collaboration of frame and event flows,

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:38:27.049517Z

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.

source=pdf_text observed=2026-08-06T21:38:12.465331Z digest=sha256:be4dd080b1d4622a6818ae3689a80318af74e4fbb26ea92c4a3b59f8e6fbaeed

Observation 9f92b9ba-2d08-4e66-8ab4-037aab329fef · outbound

This paper cites Tenet: targetness entanglement incorporating with multi-scale pooling and mutually-guided fusion for rgb-e object tracking,.

Mamba-FETrack V2: Revisiting State Space Model for Frame-Event based Visual Object Tracking Tenet: targetness entanglement incorporating with multi-scale pooling and mutually-guided fusion for rgb-e object tracking,

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:38:26.878795Z

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.

source=pdf_text observed=2026-08-06T21:38:12.550593Z digest=sha256:881b2c0b403ca56a88af69f87c262cb3f3e3c5dc3dcc1fd168c6e478774fc9db

Observation 233d3521-5de3-4408-aa00-487951ae606c · outbound

This paper cites Emtrack: Efficient multimodal object tracking,.

Mamba-FETrack V2: Revisiting State Space Model for Frame-Event based Visual Object Tracking Emtrack: Efficient multimodal object tracking,

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:38:26.731195Z

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.

source=pdf_text observed=2026-08-06T21:38:12.645044Z digest=sha256:9fa919c44c8966fb3e97531ab9f7d154fee8906e1d85fb8c0a861b1463090b4c

Observation 0ce2a3db-535e-4ea6-bb97-30071213fed8 · outbound

This paper cites Sdstrack: Self-distillation symmetric adapter learning for multi-modal visual object tracking,.

Mamba-FETrack V2: Revisiting State Space Model for Frame-Event based Visual Object Tracking Sdstrack: Self-distillation symmetric adapter learning for multi-modal visual object tracking,

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:38:26.468042Z

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.

source=pdf_text observed=2026-08-06T21:38:12.730801Z digest=sha256:a3ee1f81451180cf47d6005de771ea517921851ebc1b530c1eef9cff3aa9f983

Observation 6e67dcf5-40a1-4f94-9be5-972d8695083d · outbound

This paper cites Exploiting multimodal spatial-temporal patterns for video object tracking,.

Mamba-FETrack V2: Revisiting State Space Model for Frame-Event based Visual Object Tracking Exploiting multimodal spatial-temporal patterns for video object tracking,

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:38:26.136962Z

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.

source=pdf_text observed=2026-08-06T21:38:12.818968Z digest=sha256:7cb410a98d238e65ad1745772aa5871ff45f38f16c2042069ab6f8151380c315

Observation 9b82a5d1-1111-4cc5-8b9d-b2d2d4b239d3 · outbound

This paper cites Onetracker: Unifying visual object tracking with foundation models and efficient tuning,.

Mamba-FETrack V2: Revisiting State Space Model for Frame-Event based Visual Object Tracking Onetracker: Unifying visual object tracking with foundation models and efficient tuning,

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:38:25.902436Z

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.

source=pdf_text observed=2026-08-06T21:38:12.929491Z digest=sha256:c9edb212e88fa95bebb9630fc0f016a006ba39728f3ada88a24914448344e00e

Observation 3765512a-a99e-499e-9085-dbdf7f078205 · outbound

This paper cites Cross-modal orthogonal high-rank augmentation for rgb-event transformer-trackers,.

Mamba-FETrack V2: Revisiting State Space Model for Frame-Event based Visual Object Tracking Cross-modal orthogonal high-rank augmentation for rgb-event transformer-trackers,

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:38:25.697014Z

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.

source=pdf_text observed=2026-08-06T21:38:12.995563Z digest=sha256:08ea8f78c4e9786436636bf2da964a55666f195915290e01a5b5344ecd74628f

Observation ce90967f-9c85-4513-a19f-e190d1e0e4b3 · outbound

This paper cites Combining recurrent, convolutional, and continuous-time models with linear state space layers,.

Mamba-FETrack V2: Revisiting State Space Model for Frame-Event based Visual Object Tracking Combining recurrent, convolutional, and continuous-time models with linear state space layers,

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:38:25.458440Z

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.

source=pdf_text observed=2026-08-06T21:38:13.072079Z digest=sha256:b2c2f8c9853d44f273f06d6ce87fe913376596df1f932fc5d4d39b9c167e1259

Observation 5932a336-8b46-45bd-898f-17a6912b5ca4 · outbound

This paper cites Hippo: Recurrent memory with optimal polynomial projections,.

Mamba-FETrack V2: Revisiting State Space Model for Frame-Event based Visual Object Tracking Hippo: Recurrent memory with optimal polynomial projections,

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:38:25.207805Z

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.

source=pdf_text observed=2026-08-06T21:38:13.159324Z digest=sha256:743bead5aa5cd64b5923ca977e5d36e150bc5dda40cacaf587abae103ebf10ab

Observation 5a4ac9d6-af31-4c39-becd-e111a6995065 · outbound

This paper cites Mamba: Linear-time sequence modeling with selective state spaces,.

Mamba-FETrack V2: Revisiting State Space Model for Frame-Event based Visual Object Tracking Mamba: Linear-time sequence modeling with selective state spaces,

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:38:25.071005Z

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.

source=pdf_text observed=2026-08-06T21:38:13.252834Z digest=sha256:5a6ac58652e43cdedbbaf3856751422bf5fa685d2f226979eccaca9bf3761d25

Observation d82c9b0e-1b2d-4fe1-b8cb-af40af8a4754 · outbound

This paper cites Decision mamba: A multi-grained state space model with self-evolution regularization for offline rl,.

Mamba-FETrack V2: Revisiting State Space Model for Frame-Event based Visual Object Tracking Decision mamba: A multi-grained state space model with self-evolution regularization for offline rl,

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:38:24.878599Z

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.

source=pdf_text observed=2026-08-06T21:38:13.309938Z digest=sha256:24c4cd67fa49c704f4afd6cbb33ff3ce18253d6e672c91ae0efb23418dfa05f6

Observation c129ef44-b04e-4e15-8872-ee8e9833edb3 · outbound

This paper cites Optimization of Lightweight Malware Detection Models For AIoT Devices.

Mamba-FETrack V2: Revisiting State Space Model for Frame-Event based Visual Object Tracking Optimization of Lightweight Malware Detection Models For AIoT Devices

Reference 38

Resolution
verified exact
local_arxiv, observed 2026-08-06T21:38:17.462267Z

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.

source=pdf_text observed=2026-08-06T21:38:13.382736Z digest=sha256:2fe8e6771dce71ac291ae6799e8ef4247f78eb0b0bf9e34cf9b8b1cc3eb7c894

Observation 58ef898c-e68d-4530-8acd-46afb41ba3d2 · outbound

This paper cites Fusionmamba: Dynamic feature enhancement for multimodal image fusion with mamba,.

Mamba-FETrack V2: Revisiting State Space Model for Frame-Event based Visual Object Tracking Fusionmamba: Dynamic feature enhancement for multimodal image fusion with mamba,

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:38:24.671785Z

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.

source=pdf_text observed=2026-08-06T21:38:13.468947Z digest=sha256:f567801160a9ff099edd99a2460518716262969887466f9bc2de82a82d9ee86f

Observation de21824d-4e72-43d7-952f-25c12d269f10 · outbound

This paper cites Visual prompt tuning,.

Mamba-FETrack V2: Revisiting State Space Model for Frame-Event based Visual Object Tracking Visual prompt tuning,

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:38:24.465581Z

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.

source=pdf_text observed=2026-08-06T21:38:13.539612Z digest=sha256:22d3f0309c9cafbf07608ffd2efddc7cc58981e5cab230f131825edeb42faea1

Observation 16efdcd4-f000-455e-855e-a9bd8fe48bc4 · outbound

This paper cites Learning to prompt for vision- language models,.

Mamba-FETrack V2: Revisiting State Space Model for Frame-Event based Visual Object Tracking Learning to prompt for vision- language models,

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-06T21:38:13.625977Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:38:13.625977Z digest=sha256:85d040e85ee7573a10abd6744948ed1def3a3c0402634ae32c2f0e2f4895f269

Observation 3089653b-9535-4230-95a5-3415fde691d6 · outbound

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

Mamba-FETrack V2: Revisiting State Space Model for Frame-Event based Visual Object Tracking Learning transferable visual models from natural language supervision,

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-06T21:38:13.724104Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:38:13.724104Z digest=sha256:d48d0f45f43a737d3eea0db6867a12b7aece87bf5e87748be9d6e353f79fd7f7

Observation 170fbdbf-9cb9-4459-8856-0e402a23eabe · outbound

This paper cites Snnptrack: Spiking neural network based prompt for high-accuracy rgbe tracking,.

Mamba-FETrack V2: Revisiting State Space Model for Frame-Event based Visual Object Tracking Snnptrack: Spiking neural network based prompt for high-accuracy rgbe tracking,

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:38:24.265215Z

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.

source=pdf_text observed=2026-08-06T21:38:13.808333Z digest=sha256:d2448e9e7dfb75d67adf35c46f6e4ab2ee8a675c89aab7ba20241374e6677b57

Observation 002e8db0-f4d2-4acc-8e92-494ce8f02c6a · outbound

This paper cites Visual prompt multi- modal tracking,.

Mamba-FETrack V2: Revisiting State Space Model for Frame-Event based Visual Object Tracking Visual prompt multi- modal tracking,

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:38:24.001022Z

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.

source=pdf_text observed=2026-08-06T21:38:13.903901Z digest=sha256:0244eed1f41137d544b6853967c51e3b96592580e9e7d1b7dd5b9e8cfd481c3f

Observation cdf9bb71-37c3-4e3c-8c73-f75578a13ccf · outbound

This paper cites Temporal adaptive rgbt tracking with modality prompt,.

Mamba-FETrack V2: Revisiting State Space Model for Frame-Event based Visual Object Tracking Temporal adaptive rgbt tracking with modality prompt,

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:38:23.857780Z

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.

source=pdf_text observed=2026-08-06T21:38:13.983595Z digest=sha256:2c892158c7620c500f18382a9b2b3602820ca1edecdf6e51aec97a18aca718df

Observation c5317efe-cdd7-4e19-b3b2-eaddb82412f4 · outbound

This paper cites Explicit visual prompts for visual object tracking,.

Mamba-FETrack V2: Revisiting State Space Model for Frame-Event based Visual Object Tracking Explicit visual prompts for visual object tracking,

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:38:23.697406Z

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.

source=pdf_text observed=2026-08-06T21:38:14.087355Z digest=sha256:0d16e637713238ab94bb0ca043cc0db1aec41acb2bd313c590715f050cae0d23

Observation 7cb45031-9499-46cf-8951-88cceade043d · outbound

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

Mamba-FETrack V2: Revisiting State Space Model for Frame-Event based Visual Object Tracking Joint feature learning and relation modeling for tracking: A one-stream framework,

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:38:23.507629Z

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.

source=pdf_text observed=2026-08-06T21:38:14.153687Z digest=sha256:99d337ffa5b016972eec8885ec44a42f2113d2e06c60a0ec9ce0f8aebc4879ce

Observation 65020d06-3d50-4add-a008-d1ed1719ea9d · outbound

This paper cites Rebar: Low-variance, unbiased gradient estimates for discrete latent variable models,.

Mamba-FETrack V2: Revisiting State Space Model for Frame-Event based Visual Object Tracking Rebar: Low-variance, unbiased gradient estimates for discrete latent variable models,

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:38:23.359196Z

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.

source=pdf_text observed=2026-08-06T21:38:14.217952Z digest=sha256:8d93c37f3c748c115f5e8614affbfd06742aca255d9027b847bec79073ade691

Observation aa1d294d-e37c-4bf3-8fad-0de87fed013a · outbound

This paper cites Decoupled weight decay regularization,.

Mamba-FETrack V2: Revisiting State Space Model for Frame-Event based Visual Object Tracking Decoupled weight decay regularization,

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:38:23.160991Z

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.

source=pdf_text observed=2026-08-06T21:38:14.282544Z digest=sha256:b12d08caaf7699fe9a5d03283d495d3d75c7b676870f74e6ee0c9dffcaf6fcd0

Observation 0f2ea592-bc0e-49d8-85b1-a49ca1397832 · outbound

This paper cites Pytorch: An imperative style, high-performance deep learning library,.

Mamba-FETrack V2: Revisiting State Space Model for Frame-Event based Visual Object Tracking Pytorch: An imperative style, high-performance deep learning library,

Reference 50

Resolution
unresolved
no resolver link, observed 2026-08-06T21:38:14.362194Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:38:14.362194Z digest=sha256:d0735a68057ca96c93a11b4d169ed50fb96e71372eef2bc66c3ce7d6a4a7587c

Observation 7dc073b1-544b-4dca-9282-78cabd9f3728 · outbound

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

Mamba-FETrack V2: Revisiting State Space Model for Frame-Event based Visual Object Tracking High performance visual tracking with siamese region proposal network,

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:38:22.981125Z

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.

source=pdf_text observed=2026-08-06T21:38:14.431323Z digest=sha256:c40b9eb352b7c296b66c4729866dd092f330ea83f8cf1566b1c6f7bda35505cf

Observation c9df768c-9fa2-4e71-a804-80e3a0c5cb62 · outbound

This paper cites Siamfc++: Towards robust and accurate visual tracking with target estimation guidelines,.

Mamba-FETrack V2: Revisiting State Space Model for Frame-Event based Visual Object Tracking Siamfc++: Towards robust and accurate visual tracking with target estimation guidelines,

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:38:22.607720Z

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.

source=pdf_text observed=2026-08-06T21:38:14.518955Z digest=sha256:5fe7f84eba0c78951fd42c75e6e3a2d366c21f4a55f2d749b3f62fd7cdff23e7

Observation 65e864bc-d9a1-45e4-91e3-eca244b95c8a · outbound

This paper cites Know your surroundings: Exploiting scene information for object tracking,.

Mamba-FETrack V2: Revisiting State Space Model for Frame-Event based Visual Object Tracking Know your surroundings: Exploiting scene information for object tracking,

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:38:22.246182Z

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.

source=pdf_text observed=2026-08-06T21:38:14.577622Z digest=sha256:5cb1aa9bd51484f0925c16267c256cd55f7ec40cc341f3a6ef613abc610bd2a7

Observation 074d884d-ba90-46a5-a2a0-403df0552746 · outbound

This paper cites Clnet: A compact latent network for fast adjusting siamese trackers,.

Mamba-FETrack V2: Revisiting State Space Model for Frame-Event based Visual Object Tracking Clnet: A compact latent network for fast adjusting siamese trackers,

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:38:21.895869Z

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.

source=pdf_text observed=2026-08-06T21:38:14.639004Z digest=sha256:e35f156a31ebac840d2e1fc4453ee8feb51b7c6ccbb36d53d9d00f99c5d2e77c

Observation 22ea3e29-ba4c-4bd4-9225-88435aa14cb3 · outbound

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

Mamba-FETrack V2: Revisiting State Space Model for Frame-Event based Visual Object Tracking Atom: Accurate tracking by overlap maximization,

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:38:21.726870Z

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.

source=pdf_text observed=2026-08-06T21:38:14.643160Z digest=sha256:48b89e67f8a19d29944b2fb42071725746c43f3b8ccfaea3413512f6944aab20

Observation 8b9aa019-8898-45b3-b12a-80f1e1cd7719 · outbound

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

Mamba-FETrack V2: Revisiting State Space Model for Frame-Event based Visual Object Tracking Learning discrim- inative model prediction for tracking,

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:38:21.542941Z

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.

source=pdf_text observed=2026-08-06T21:38:14.760488Z digest=sha256:1ea361db0f7ffc61623b5eb35eb2e7ce2190b2e5f071216ecb2f37481b4f52e6

Observation 0bce6d1e-eaee-46a9-b780-98280454a72b · outbound

This paper cites Probabilistic regression for visual tracking,.

Mamba-FETrack V2: Revisiting State Space Model for Frame-Event based Visual Object Tracking Probabilistic regression for visual tracking,

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:38:21.373825Z

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.

source=pdf_text observed=2026-08-06T21:38:14.845332Z digest=sha256:a43324101e5c418a49865256e867999a36c20fa6670a544370bc1af4a1d5a278

Observation fd97d4a2-87af-49c3-b6d6-16872abe89fc · outbound

This paper cites Mixformer: End-to-end tracking with iterative mixed attention,.

Mamba-FETrack V2: Revisiting State Space Model for Frame-Event based Visual Object Tracking Mixformer: End-to-end tracking with iterative mixed attention,

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:38:21.179798Z

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.

source=pdf_text observed=2026-08-06T21:38:14.988925Z digest=sha256:f75252de289ab8dc52ae1738b7b3db2dbafdf0178c868bdd9a7a3f97172a04e1

Observation 1b6f0fd5-bd18-4a87-baa0-98b5bd82310b · outbound

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

Mamba-FETrack V2: Revisiting State Space Model for Frame-Event based Visual Object Tracking Backbone is all your need: A simplified architecture for visual object tracking,

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:38:21.036932Z

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.

source=pdf_text observed=2026-08-06T21:38:15.094176Z digest=sha256:c832de997c532181d89dd0695217b2fca12ae0d516df9e68dc0fa18c42e4e419

Observation f4ae3662-56fb-4611-8d7c-4cce58ecd920 · outbound

This paper cites Generalized relation modeling for transformer tracking,.

Mamba-FETrack V2: Revisiting State Space Model for Frame-Event based Visual Object Tracking Generalized relation modeling for transformer tracking,

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:38:20.915385Z

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.

source=pdf_text observed=2026-08-06T21:38:15.212669Z digest=sha256:f1c55aa38cec59f3a4a67d824b0b9e0045b12f7645d8b8c5272470bf788f56e3

Observation 56f058c3-6303-4fd7-abe3-19d70a7c8710 · outbound

This paper cites Robust object modeling for visual tracking,.

Mamba-FETrack V2: Revisiting State Space Model for Frame-Event based Visual Object Tracking Robust object modeling for visual tracking,

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:38:20.745840Z

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.

source=pdf_text observed=2026-08-06T21:38:15.320965Z digest=sha256:ccc19b9fcf5db5c52b37aff79aa4aa0ca1ac16c51c84086c4d066ac509c7cc75

Observation 232947d7-bd59-4b9c-9ba3-42e56e7538b2 · outbound

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

Mamba-FETrack V2: Revisiting State Space Model for Frame-Event based Visual Object Tracking Seqtrack: Sequence to sequence learning for visual object tracking,

Reference 62

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:38:20.622643Z

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.

source=pdf_text observed=2026-08-06T21:38:15.408155Z digest=sha256:dd04ae3fb89a35b07ca3c53fda62d723706c881776220b060606cfa1b56b60ec

Observation b029241e-358e-4ebd-b527-0c726d6fa0c3 · outbound

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

Mamba-FETrack V2: Revisiting State Space Model for Frame-Event based Visual Object Tracking Hiptrack: Visual tracking with historical prompts,

Reference 63

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:38:20.496251Z

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.

source=pdf_text observed=2026-08-06T21:38:15.482347Z digest=sha256:e6a5d5739f17e109efc3ca82a525fea4ff7726e28220a5c154aafe62daefc5f2

Observation 703aea08-71f6-4f17-b6f8-c77a0ec5980e · outbound

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

Mamba-FETrack V2: Revisiting State Space Model for Frame-Event based Visual Object Tracking Odtrack: Online dense temporal token learning for visual tracking,

Reference 64

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:38:20.362491Z

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.

source=pdf_text observed=2026-08-06T21:38:15.598777Z digest=sha256:dbda94bc402728f01e1d8570bbc852134f4a14a763bc8622a5744daf613d1cff

Observation 4cd0e9e6-e7fb-4f36-8d14-b93c2bb989a9 · outbound

This paper cites Single-model and any-modality for video object tracking,.

Mamba-FETrack V2: Revisiting State Space Model for Frame-Event based Visual Object Tracking Single-model and any-modality for video object tracking,

Reference 65

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:38:20.215811Z

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.

source=pdf_text observed=2026-08-06T21:38:15.795659Z digest=sha256:2e1a3afcb6861514372b60cd024dea971f70e4e8189c7eda5d39781e0a65e41c

Observation 161eb4ed-6716-4634-9a5b-c11e9e71dc5e · outbound

This paper cites Less is more: Token context-aware learning for object tracking,.

Mamba-FETrack V2: Revisiting State Space Model for Frame-Event based Visual Object Tracking Less is more: Token context-aware learning for object tracking,

Reference 66

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:38:20.026887Z

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.

source=pdf_text observed=2026-08-06T21:38:15.949767Z digest=sha256:ff5ce5e8ef30d07c3f2a11f16183887d94d489db2f815fbf7361127dfef68bd2

Observation 470e50a0-e7d0-43c1-818f-af40a597d5c2 · outbound

This paper cites Two- stream beats one-stream: asymmetric siamese network for efficient visual tracking,.

Mamba-FETrack V2: Revisiting State Space Model for Frame-Event based Visual Object Tracking Two- stream beats one-stream: asymmetric siamese network for efficient visual tracking,

Reference 67

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:38:19.782447Z

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.

source=pdf_text observed=2026-08-06T21:38:16.042116Z digest=sha256:a8a15da16db2e10a2349d7385ff9ee2553fa9e159c588974a23baf97a0cfc7ef

Observation 9cf261c9-a18a-4d9f-8648-595a737eca84 · outbound

This paper cites Transformer tracking,.

Mamba-FETrack V2: Revisiting State Space Model for Frame-Event based Visual Object Tracking Transformer tracking,

Reference 68

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:38:19.498731Z

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.

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Observation 6a23f756-035c-4bbc-9482-35385ef29e90 · outbound

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

Mamba-FETrack V2: Revisiting State Space Model for Frame-Event based Visual Object Tracking Learning spatio- temporal transformer for visual tracking,

Reference 69

Resolution
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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.

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Observation 8fb09fa0-d635-47d2-865d-db44d3502597 · outbound

This paper cites Siam r-cnn: Visual tracking by re-detection,.

Mamba-FETrack V2: Revisiting State Space Model for Frame-Event based Visual Object Tracking Siam r-cnn: Visual tracking by re-detection,

Reference 70

Resolution
unresolved
no resolver link, observed 2026-08-06T21:38:16.430463Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 7367bca0-e3a4-4ff8-b011-d234deb9bb78 · outbound

This paper cites Transforming model prediction for tracking,.

Mamba-FETrack V2: Revisiting State Space Model for Frame-Event based Visual Object Tracking Transforming model prediction for tracking,

Reference 71

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:38:19.084487Z

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.

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Observation eac00273-1896-4d4b-bded-db540150654f · outbound

This paper cites Learning target candidate association to keep track of what not to track,.

Mamba-FETrack V2: Revisiting State Space Model for Frame-Event based Visual Object Tracking Learning target candidate association to keep track of what not to track,

Reference 72

Resolution
verified fuzzy
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Source-reported events for the cited work

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

source=pdf_text observed=2026-08-06T21:38:16.646170Z digest=sha256:bc3c228376229de05114cc902912eb99ca26621bbce5ec1d03654297ae568742

Observation 2318c920-5360-489d-a753-2fa6a2299317 · outbound

This paper cites Probabilistic regression for visual tracking,.

Mamba-FETrack V2: Revisiting State Space Model for Frame-Event based Visual Object Tracking Probabilistic regression for visual tracking,

Reference 73

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:38:18.476838Z

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.

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Observation 6b726bca-07e8-4e5a-86d2-334b471a9384 · outbound

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

Mamba-FETrack V2: Revisiting State Space Model for Frame-Event based Visual Object Tracking Transformer meets tracker: Exploiting temporal context for robust visual tracking,

Reference 74

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:38:18.302558Z

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.

source=pdf_text observed=2026-08-06T21:38:16.983544Z digest=sha256:1a3c1f8a8e05c31f6977b7dd505e291e7dac2a0d31eecbaaf0aa01ee663d0968

Observation 82369441-ca5b-4776-970d-4ddb88d7e1e8 · outbound

This paper cites Cross-modality distilla- tion for multi-modal tracking,.

Mamba-FETrack V2: Revisiting State Space Model for Frame-Event based Visual Object Tracking Cross-modality distilla- tion for multi-modal tracking,

Reference 75

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:38:18.039221Z

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.

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Pith citing papers

Observation f6ab3875-5183-435d-8b36-0d9e28f40f44 · inbound

Hyperspectral Mamba for Hyperspectral Object Tracking cites this paper.

Hyperspectral Mamba for Hyperspectral Object Tracking Mamba-FETrack V2: Revisiting State Space Model for Frame-Event based Visual Object Tracking

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-04T21:00:49.427937Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation e7b0533a-d891-4fb5-a1d9-10fbb011fe7b · inbound

A Systematic Survey on Event Camera Representation Learning cites this paper.

A Systematic Survey on Event Camera Representation Learning Mamba-FETrack V2: Revisiting State Space Model for Frame-Event based Visual Object Tracking

Reference 154

Resolution
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arxiv_id, observed 2026-07-04T12:39:48.874077Z

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.

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Observation c9757c90-16c1-48a0-a2f4-59a8a480a557 · inbound

Active Adversarial Perturbation-driven Associative Memory Retrieval for RGB-Event Visual Object Tracking cites this paper.

Active Adversarial Perturbation-driven Associative Memory Retrieval for RGB-Event Visual Object Tracking Mamba-FETrack V2: Revisiting State Space Model for Frame-Event based Visual Object Tracking

Reference 23

Resolution
verified exact
arxiv_id, observed 2026-07-04T15:59:56.412724Z

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.

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