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Paper Citation Record · LEDGER

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

As of 9 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 2026-08-09T06:31:02.800959+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

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+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 2026-08-09T06:31:02.800959+00:00.

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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

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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:fe793b8013b82c5e29410ed60c4a44c44c848f1d777d848ee75537a42820a915

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 2026-08-09T06:31:02.800959+00:00.

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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=sha256:6375f83ce335618e125c3b8f1dc9d2e9250d39d9f079b9c0047f29bcfa55efb0

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 2026-08-09T06:31:02.800959+00:00.

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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 2026-08-09T06:31:02.800959+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 2026-08-09T06:31:02.800959+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 2026-08-09T06:31:02.800959+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 2026-08-09T06:31:02.800959+00:00.

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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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T21:38:11.205735Z digest=sha256:ccbed287131f2152a2b9858c541437b9332605007a84d4fb3963f3a04fdd4c25

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=sha256:422145c825cffd96947c7b00d651402d0843aa45b5c2df42456e325e7f26a0e4

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T21:38:11.386263Z digest=sha256:9338aa57bef2f1bf0f8805f6aae3a6bc144e6b5fb6dd6e4d0e274ee4d528f899

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
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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 2026-08-09T06:31:02.800959+00:00.

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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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.

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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 2026-08-09T06:31:02.800959+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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T21:38:11.870564Z digest=sha256:15cfc23c5e9242965ec2b3b4306a408a5e32943da37b67892b37142fb1c106b2

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=sha256:582cd9f881540dd1e33dfd784055bb67b9db54f90cbffd0d0e6b6b1176cc5e88

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 2026-08-09T06:31:02.800959+00:00.

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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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T21:38:12.112344Z digest=sha256:e7b9b3d58caafcfd8a1487640b17cb21bcf1c998ef36852ac4a1f56d433212a4

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 2026-08-09T06:31:02.800959+00:00.

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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:a6c7757d1d7eacd40ef5e5cccbf9ebf59b47168183e26fd2591b8502afa45d02

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T21:38:12.375906Z digest=sha256:b594df21bdce8011cf277cfc4288b537ec9837890a85f60f2b07438925cf821e

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T21:38:12.465331Z digest=sha256:5c88abed949756b76818e920b00d812e2d277bf858895fe5d4abe0be5518bd98

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T21:38:12.550593Z digest=sha256:7d2f52ec83b86fb95c149ee4a90b7370494b4bb36c0147671f9f3bf0ef7ab4a9

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T21:38:12.645044Z digest=sha256:308047f6eb32a723ebe9f79cdcf7caff58f6578719a43f470bfa2fac1ffadf10

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T21:38:12.730801Z digest=sha256:ade12535087b5c6a05927d8427e4fba556c94347272b69865a1fdbea165af64c

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T21:38:12.818968Z digest=sha256:ac37ffc6fd82fdaa2a9289451f97b36f0bbd28c6a10c950a174747c477429551

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T21:38:12.929491Z digest=sha256:65b1a608d046c04fe1f462705c7c0279c318025700081f65b0c09b2680c82822

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T21:38:12.995563Z digest=sha256:22cee57a9d20c832546c8e96720a5f8dd9b11b5ada2fce4e0cc94d31b6ecb985

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T21:38:13.072079Z digest=sha256:4fb4fe68fe6a128d2a263083da0d189a790da048068e1d6cb02bdfa328c73e35

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T21:38:13.159324Z digest=sha256:a4b02b8302ef1d03835ab3d6b73ad4cdbc530b1d38efc6bdd0c1500f38fda2ce

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T21:38:13.252834Z digest=sha256:6e63c32cf9fde52738f5021703cfa8b6b1a74dd6b51eb0ce03f48eb1f951ca8e

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T21:38:13.309938Z digest=sha256:a1e5e0e2b726768c8b445790dcce75b68bca9302e5f55c7509c8d11b7679bce0

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T21:38:13.382736Z digest=sha256:adfba9a865f8fa29d92c13fa47d31c444154a3c9ddf2d826d4e5696465e48c89

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T21:38:13.468947Z digest=sha256:348fe49275f1b43ff19894603ec93eae7a25e2e852930228f4529818023b6196

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T21:38:13.539612Z digest=sha256:5e394727a3c81ee826766f44d9eabe7cd94a0a2d3dc4877f8594d523fd4de7dd

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=sha256:6bbc68077663400b5c2e9943a901d25ed2233d9abdbb90334e2f16f09c5f01f9

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=sha256:6506f08e0452a1a5c7ea7032f923263fd64756104aa3c5bd260e18456ad2f998

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T21:38:13.808333Z digest=sha256:fb339e1be47bad8ada7780b3b98fb01b057b2446f3edfab5e9dc35552a4f5b64

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T21:38:13.903901Z digest=sha256:116a39fa80daa9f099331c1463d02607ffd54e11e46240952b21b9fdde0bf557

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T21:38:13.983595Z digest=sha256:6e1fb44ff845cf49c18cc6aaaf8ebcb337cdefbbadc03cc3d19e66e7507d8556

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T21:38:14.087355Z digest=sha256:1043d9268ccb3573f195ffb7a158d6778e79747020f943aa0383d2372c151b72

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T21:38:14.153687Z digest=sha256:edae88a93f95aa5a7d30fdb49af7e9a78b9de0c16ca45ac699946399201854b6

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T21:38:14.217952Z digest=sha256:002872ca83cffe58e129b28545c25f20db1530b67fd480c1e9f904d1f1455f07

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T21:38:14.282544Z digest=sha256:76a23279c1e4aca3044cf49ab4e26534c8d5ccd63a95edeb5f4f4f17bc45b080

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:a734fb9e6d739716c1520e25ae794c497c913280c7ffc70f137b2f5333466090

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T21:38:14.431323Z digest=sha256:112b1d5567cd9c7f6acde52b83945562682482c422c6a9252c34492f928d2223

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T21:38:14.518955Z digest=sha256:55352b3bf50d4f636fe7aa93595d460942be9b36628b40561b374f49ed2a257f

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T21:38:14.577622Z digest=sha256:bc544aa42c207e9df96af17063e7e88359f6b645a4a45ff8b2dcb15d859c3cf5

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T21:38:14.639004Z digest=sha256:07a24dbaf7ddf574c0319b9db957b0b689996c6c2cc9a925e235420c7c8e91d2

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T21:38:14.643160Z digest=sha256:cc4cbe79b3453c17a4fb3cfac0d9f0a7b098f0f7f072f5df90cf0a8f02c89861

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T21:38:14.760488Z digest=sha256:e291c1d78025d2226d2f6c9d52f6f5b3bbfe687bf041bb262a32c3a60ca79128

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T21:38:14.845332Z digest=sha256:ef6f7f94f88514d31153b00242d18e2c7110946dbc1e96c3ac0985245c282b5f

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T21:38:14.988925Z digest=sha256:11d815d78ec6f60726f5336cf2d6c28ac107ae7720cffb5d95ce4975fa21a937

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T21:38:15.094176Z digest=sha256:358b6d32eb5ff1eefe23698c99cd6526d6a3dac4104a08e948990c11c8ea528e

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T21:38:15.212669Z digest=sha256:b303948712627dad931ebb05db002077f0c8def74e8ac695cf782415f195d3c9

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T21:38:15.320965Z digest=sha256:cfc25ac13ff540b762cc068b1a8b230417cc0af4b10afe5ffdaf0b69cd0894de

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T21:38:15.408155Z digest=sha256:ab725be14b3b2cf3c30f61e11753c7918c8db54860b6f1ee628cae1d89c633ac

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T21:38:15.482347Z digest=sha256:6881607e6a35f067867b65f807e5e93ed7c60a33673581ac64ba41f238b6a432

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T21:38:15.598777Z digest=sha256:3ac98a1673e9274083350681517b238cd23811b39dc37881b7a0c71019e86587

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T21:38:15.795659Z digest=sha256:5f3f7fb91341028d866ed104081d6a43cd04af4a79248c1f5dcdb83398bd7984

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T21:38:15.949767Z digest=sha256:7a23f23d5021ea3cf5ffe4f38d7460be8eb9b92c28cf5291f213d4739c60db7c

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T21:38:16.042116Z digest=sha256:35e8d7e2850a8294dc7dfe6e04db0248e73220f2943f9aefab529df638ebbfcb

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 2026-08-09T06:31:02.800959+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

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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

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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

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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

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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

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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

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Source-reported events for the cited work

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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
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+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

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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

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+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
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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