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Paper Citation Record · LEDGER

E-TraMamba: A New Paradigm for Efficient Long-Term 3D Feature Tracking with Event Cameras

As of 6 August 2026, this Paper Citation Record lists 76 of 76 outbound references and 0 inbound Pith citation observations for arXiv:2607.02866.

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

pith.paper-citation-record.v1
2607.02866 v1

Coverage vector

measured 76 of 76 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-12T06:32:02.952904Z

measured 76 of 76 standing notices

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Source: scholarly_work_events, retraction_status_cache, observed 2026-08-06T06:34:29.942622+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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measured 0 of 1 external citation measurements

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Reference resolution

76 of 76 outbound references displayed

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Outbound references

Observation 4388982c-c73c-43ec-986b-f6a7ef3fdf0e · outbound

This paper cites Ace: An efficient asynchronous corner tracker for event cameras.

E-TraMamba: A New Paradigm for Efficient Long-Term 3D Feature Tracking with Event Cameras Ace: An efficient asynchronous corner tracker for event cameras

Reference 1

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Observation 42250816-4735-4b11-8d6e-21e402219435 · outbound

This paper cites Haste: multi- hypothesis asynchronous speeded-up tracking of events.

E-TraMamba: A New Paradigm for Efficient Long-Term 3D Feature Tracking with Event Cameras Haste: multi- hypothesis asynchronous speeded-up tracking of events

Reference 2

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Observation 98e08cbe-3927-4025-8195-261240449561 · outbound

This paper cites Surf: Speeded up robust features.

E-TraMamba: A New Paradigm for Efficient Long-Term 3D Feature Tracking with Event Cameras Surf: Speeded up robust features

Reference 3

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Observation 650117ae-1293-4e51-a3a0-8243b32a2dd6 · outbound

This paper cites A 240×180 130 db 3µs latency global shutter spatiotemporal vision sensor.IEEE Journal of Solid-State Circuits, 49(10):2333–2341, 2014.

E-TraMamba: A New Paradigm for Efficient Long-Term 3D Feature Tracking with Event Cameras A 240×180 130 db 3µs latency global shutter spatiotemporal vision sensor.IEEE Journal of Solid-State Circuits, 49(10):2333–2341, 2014

Reference 4

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Observation e4d6b99e-6f33-426b-a065-d4e3ad63ea53 · outbound

This paper cites emoe-tracker: Environmental moe-based transformer for robust event-guided object track- ing.IEEE Robotics and Automation Letters, 10:1393–1400,.

E-TraMamba: A New Paradigm for Efficient Long-Term 3D Feature Tracking with Event Cameras emoe-tracker: Environmental moe-based transformer for robust event-guided object track- ing.IEEE Robotics and Automation Letters, 10:1393–1400,

Reference 5

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Observation 8456f4e0-d99a-4c9a-aec7-26dd7f0aba19 · outbound

This paper cites Utility and feasibility of a center surround event camera.

E-TraMamba: A New Paradigm for Efficient Long-Term 3D Feature Tracking with Event Cameras Utility and feasibility of a center surround event camera

Reference 6

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Observation 047e613d-60e3-4159-8998-14fd663cff72 · outbound

This paper cites Had: Hierarchical asymmetric dis- tillation to bridge spatio-temporal gaps in event-based object tracking, 2025.

E-TraMamba: A New Paradigm for Efficient Long-Term 3D Feature Tracking with Event Cameras Had: Hierarchical asymmetric dis- tillation to bridge spatio-temporal gaps in event-based object tracking, 2025

Reference 7

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Observation 86e52975-5ef0-4168-854a-074c77ceabcf · outbound

This paper cites An event-based line sensor with configurable antagonistic center surround.

E-TraMamba: A New Paradigm for Efficient Long-Term 3D Feature Tracking with Event Cameras An event-based line sensor with configurable antagonistic center surround

Reference 8

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Observation e38b17be-9ebb-47b4-a35d-a2a66a7acaa7 · outbound

This paper cites Spatio-temporal recurrent networks for event-based optical flow estimation,.

E-TraMamba: A New Paradigm for Efficient Long-Term 3D Feature Tracking with Event Cameras Spatio-temporal recurrent networks for event-based optical flow estimation,

Reference 9

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Observation 96b02f71-a5d6-4dfd-85e5-67b37c4ad14b · outbound

This paper cites Spike cam- era and its coding methods, 2021.

E-TraMamba: A New Paradigm for Efficient Long-Term 3D Feature Tracking with Event Cameras Spike cam- era and its coding methods, 2021

Reference 10

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Observation 30b076a9-54fb-4cb1-9879-fde1908916fe · outbound

This paper cites an unresolved cited work.

E-TraMamba: A New Paradigm for Efficient Long-Term 3D Feature Tracking with Event Cameras Unresolved cited work

Reference 11

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Observation 6505a639-0b66-4243-ae5b-5bf4830cb39e · outbound

This paper cites Distractor-aware event-based tracking.IEEE Transactions on Image Processing, 32:6129–6141, 2023.

E-TraMamba: A New Paradigm for Efficient Long-Term 3D Feature Tracking with Event Cameras Distractor-aware event-based tracking.IEEE Transactions on Image Processing, 32:6129–6141, 2023

Reference 12

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Observation 626310ca-c497-44d1-a3f1-b5ccfd5e02b6 · outbound

This paper cites Davison, J ¨org Conradt, Kostas Daniilidis, and Davide Scaramuzza.

E-TraMamba: A New Paradigm for Efficient Long-Term 3D Feature Tracking with Event Cameras Davison, J ¨org Conradt, Kostas Daniilidis, and Davide Scaramuzza

Reference 13

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Observation 20267646-b95c-4cd6-bcdd-7e7636aa3bfe · outbound

This paper cites Springer International Publishing, 2018.

E-TraMamba: A New Paradigm for Efficient Long-Term 3D Feature Tracking with Event Cameras Springer International Publishing, 2018

Reference 14

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Observation 17a874e4-a01f-4548-a4b2-120c7eb7c226 · outbound

This paper cites E-raft: Dense optical flow from event cam- eras, 2021.

E-TraMamba: A New Paradigm for Efficient Long-Term 3D Feature Tracking with Event Cameras E-raft: Dense optical flow from event cam- eras, 2021

Reference 15

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Observation 340dc2d6-6a30-426a-a501-113f4f977852 · outbound

This paper cites Dense continuous-time optical flow from event cameras.

E-TraMamba: A New Paradigm for Efficient Long-Term 3D Feature Tracking with Event Cameras Dense continuous-time optical flow from event cameras

Reference 16

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Observation d8b0174e-ce56-41a1-89f2-a92f626b9f67 · outbound

This paper cites Mamba: Linear-time sequence mod- eling with selective state spaces, 2024.

E-TraMamba: A New Paradigm for Efficient Long-Term 3D Feature Tracking with Event Cameras Mamba: Linear-time sequence mod- eling with selective state spaces, 2024

Reference 17

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Observation 84e79735-c42c-43f2-9a60-74200c1dd92f · outbound

This paper cites Etap: Event- based tracking of any point, 2025.

E-TraMamba: A New Paradigm for Efficient Long-Term 3D Feature Tracking with Event Cameras Etap: Event- based tracking of any point, 2025

Reference 18

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Observation f9f761d0-3b60-4950-be3b-e82e67e69692 · outbound

This paper cites MATE: Motion-Augmented Temporal Consistency for Event-based Point Tracking.

E-TraMamba: A New Paradigm for Efficient Long-Term 3D Feature Tracking with Event Cameras MATE: Motion-Augmented Temporal Consistency for Event-based Point Tracking

Reference 19

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Observation c6011d62-dadb-4f05-98ba-ba554af8c73a · outbound

This paper cites Trackssm: A general motion predictor by state-space model,.

E-TraMamba: A New Paradigm for Efficient Long-Term 3D Feature Tracking with Event Cameras Trackssm: A general motion predictor by state-space model,

Reference 20

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Observation 97d9a676-faf9-485a-80c5-6c957d32ad2b · outbound

This paper cites ecdt: Event clustering for simultaneous fea- ture detection and tracking-, 2022.

E-TraMamba: A New Paradigm for Efficient Long-Term 3D Feature Tracking with Event Cameras ecdt: Event clustering for simultaneous fea- ture detection and tracking-, 2022

Reference 21

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Observation 8f190117-5ad6-499d-83fc-d139b94808ea · outbound

This paper cites Mamba-fetrack: Frame-event tracking via state space model, 2024.

E-TraMamba: A New Paradigm for Efficient Long-Term 3D Feature Tracking with Event Cameras Mamba-fetrack: Frame-event tracking via state space model, 2024

Reference 22

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Observation f842314f-47c3-479b-bf4c-f4a7b686f14a · outbound

This paper cites Co- tracker: It is better to track together, 2024.

E-TraMamba: A New Paradigm for Efficient Long-Term 3D Feature Tracking with Event Cameras Co- tracker: It is better to track together, 2024

Reference 23

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Observation fa97e7fd-52da-46d6-86eb-174ac9a4693d · outbound

This paper cites Exploring temporally-aware features for point tracking, 2025.

E-TraMamba: A New Paradigm for Efficient Long-Term 3D Feature Tracking with Event Cameras Exploring temporally-aware features for point tracking, 2025

Reference 24

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Observation 62d69d75-9128-4282-a5f5-4dfe06a21531 · outbound

This paper cites Asynchronous event-based corner detection using adap- tive time threshold.IEEE Sensors Journal, 23(9):9512– 9522, 2023.

E-TraMamba: A New Paradigm for Efficient Long-Term 3D Feature Tracking with Event Cameras Asynchronous event-based corner detection using adap- tive time threshold.IEEE Sensors Journal, 23(9):9512– 9522, 2023

Reference 25

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Observation 767309fc-8f20-405d-acc5-298b880efa80 · outbound

This paper cites 3d feature tracking via event camera.

E-TraMamba: A New Paradigm for Efficient Long-Term 3D Feature Tracking with Event Cameras 3d feature tracking via event camera

Reference 26

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Observation 53a40a3e-6b8b-4834-86eb-a3c7479ef266 · outbound

This paper cites Mambalct: Boosting tracking via long-term context state space model, 2024.

E-TraMamba: A New Paradigm for Efficient Long-Term 3D Feature Tracking with Event Cameras Mambalct: Boosting tracking via long-term context state space model, 2024

Reference 27

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source=pdf_text observed=2026-07-12T06:32:02.952904Z digest=sha256:201f5027829462c00ace9327f4aa45acf7da33d2d1aeddfd7494480c2dc7dd73

Observation 5d2bee24-78c4-430d-afc1-8c8978ef4a54 · outbound

This paper cites Coherent event guided low-light video en- hancement.

E-TraMamba: A New Paradigm for Efficient Long-Term 3D Feature Tracking with Event Cameras Coherent event guided low-light video en- hancement

Reference 28

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Observation 4745c979-fd12-4ae8-99a7-5f16598ac221 · outbound

This paper cites Eventups: Uncalibrated photometric stereo using an event camera.

E-TraMamba: A New Paradigm for Efficient Long-Term 3D Feature Tracking with Event Cameras Eventups: Uncalibrated photometric stereo using an event camera

Reference 29

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Observation 5d93722e-cd22-46ff-ae8e-1e33b56c4d01 · outbound

This paper cites A 128×128 120 db 15µs latency asynchronous temporal con- trast vision sensor.Solid-State Circuits, IEEE Journal of, 43: 566 – 576, 2008.

E-TraMamba: A New Paradigm for Efficient Long-Term 3D Feature Tracking with Event Cameras A 128×128 120 db 15µs latency asynchronous temporal con- trast vision sensor.Solid-State Circuits, IEEE Journal of, 43: 566 – 576, 2008

Reference 30

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Observation 0cf99c88-4012-4a28-b074-370cd5c271ef · outbound

This paper cites Tracking any point with frame-event fusion network at high frame rate, 2024.

E-TraMamba: A New Paradigm for Efficient Long-Term 3D Feature Tracking with Event Cameras Tracking any point with frame-event fusion network at high frame rate, 2024

Reference 31

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Observation 6d31cc69-34d3-4c29-970c-82f27f421e34 · outbound

This paper cites Mambavlt: Time-evolving multimodal state space model for vision-language tracking, 2024.

E-TraMamba: A New Paradigm for Efficient Long-Term 3D Feature Tracking with Event Cameras Mambavlt: Time-evolving multimodal state space model for vision-language tracking, 2024

Reference 32

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Observation 42edf9bf-7406-4066-a116-0842bdba36a7 · outbound

This paper cites Distinctive image features from scale- invariant keypoints.International journal of computer vi- sion, 60:91–110, 2004.

E-TraMamba: A New Paradigm for Efficient Long-Term 3D Feature Tracking with Event Cameras Distinctive image features from scale- invariant keypoints.International journal of computer vi- sion, 60:91–110, 2004

Reference 33

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Observation 1e49cc1c-9ab1-4e3e-b372-e4f428e801f5 · outbound

This paper cites An iterative image reg- istration technique with an application to stereo vision.

E-TraMamba: A New Paradigm for Efficient Long-Term 3D Feature Tracking with Event Cameras An iterative image reg- istration technique with an application to stereo vision

Reference 34

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Observation 4e7f5398-b81a-4c0f-8d4d-4ec11de8d655 · outbound

This paper cites Data-driven feature tracking for event cameras.

E-TraMamba: A New Paradigm for Efficient Long-Term 3D Feature Tracking with Event Cameras Data-driven feature tracking for event cameras

Reference 35

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source=pdf_text observed=2026-07-12T06:32:02.952904Z digest=sha256:aed7c8e983e59dc21136a535d9a3a395ba843f716cf1c25fad492fa0b55509c4

Observation 931ff9ac-ba09-4f1f-82c3-c04abf2ed755 · outbound

This paper cites Dense optical tracking: Connecting the dots, 2024.

E-TraMamba: A New Paradigm for Efficient Long-Term 3D Feature Tracking with Event Cameras Dense optical tracking: Connecting the dots, 2024

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source=pdf_text observed=2026-07-12T06:32:02.952904Z digest=sha256:e93c1d367305983af6febe10b0fa65fc312de0ebbc88a5f52d5e840b8d6293a5

Observation 10b58e4f-2de6-473a-b1b8-ae8739e5881a · outbound

This paper cites Giraldo, Thierry Bouwmans, and Ananda S.

E-TraMamba: A New Paradigm for Efficient Long-Term 3D Feature Tracking with Event Cameras Giraldo, Thierry Bouwmans, and Ananda S

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source=pdf_text observed=2026-07-12T06:32:02.952904Z digest=sha256:13a41cc8e8eeacb42ab87b91111a5917ee0dedaf38fca4d17831044cb896dcb6

Observation 9c7b95b0-5092-4449-a750-bb82f501a24b · outbound

This paper cites Fast event-based corner detection.

E-TraMamba: A New Paradigm for Efficient Long-Term 3D Feature Tracking with Event Cameras Fast event-based corner detection

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source=pdf_text observed=2026-07-12T06:32:02.952904Z digest=sha256:46f5e5be5e7859e55702f02d24949fe81ec287e58aa587885c6672940c75e533

Observation 0d2503cb-58cf-4354-94c1-f294dd802f08 · outbound

This paper cites Stereo depth from events cameras: Concen- trate and focus on the future.

E-TraMamba: A New Paradigm for Efficient Long-Term 3D Feature Tracking with Event Cameras Stereo depth from events cameras: Concen- trate and focus on the future

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source=pdf_text observed=2026-07-12T06:32:02.952904Z digest=sha256:2701bf804667b09d06c9bb6fdb3a0121214afc5c92d496eab6205ee1c3de2c55

Observation e47c1236-3cc7-49ad-9917-6c98b074f319 · outbound

This paper cites Delta: Dense efficient long-range 3d track- ing for any video, 2025.

E-TraMamba: A New Paradigm for Efficient Long-Term 3D Feature Tracking with Event Cameras Delta: Dense efficient long-range 3d track- ing for any video, 2025

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source=pdf_text observed=2026-07-12T06:32:02.952904Z digest=sha256:a25332a1137d2abf9b3fcfbe97f2875e0e1c76d356b7d2f00b07dfe7c5a95da4

Observation 926688c4-6b25-49e5-9da2-752c1c685bc7 · outbound

This paper cites A qvga 143 db dynamic range frame-free pwm image sensor with lossless pixel-level video compression and time-domain cds.IEEE Journal of Solid-State Circuits, 46(1):259–275,.

E-TraMamba: A New Paradigm for Efficient Long-Term 3D Feature Tracking with Event Cameras A qvga 143 db dynamic range frame-free pwm image sensor with lossless pixel-level video compression and time-domain cds.IEEE Journal of Solid-State Circuits, 46(1):259–275,

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source=pdf_text observed=2026-07-12T06:32:02.952904Z digest=sha256:f5588165d0f395d386fe46419017cbc7ed5f02784d89b06fda9d75073482e369

Observation 6c61753d-0c88-49fe-ad08-49324f1010f5 · outbound

This paper cites an unresolved cited work.

E-TraMamba: A New Paradigm for Efficient Long-Term 3D Feature Tracking with Event Cameras Unresolved cited work

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source=pdf_text observed=2026-07-12T06:32:02.952904Z digest=sha256:23d387d1b78b8d737d656140a03df5d482ceddf2f6ce15de2e365df69b3f59ae

Observation 50825fdd-2e58-49b3-b8f6-bb83d834849f · outbound

This paper cites Improving object tracking performances with frequency learning for event cameras.IEEE Sensors Journal, 25:22419–22429, 2025.

E-TraMamba: A New Paradigm for Efficient Long-Term 3D Feature Tracking with Event Cameras Improving object tracking performances with frequency learning for event cameras.IEEE Sensors Journal, 25:22419–22429, 2025

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source=pdf_text observed=2026-07-12T06:32:02.952904Z digest=sha256:1c37731fe51b39a983119a9a8a5504138be2c7dbb4320fa4a8468337e54bb97e

Observation a533ab35-7dbd-4b68-bd5c-9819f590dc44 · outbound

This paper cites Blinktrack: Feature tracking over 100 fps via events and im- ages, 2024.

E-TraMamba: A New Paradigm for Efficient Long-Term 3D Feature Tracking with Event Cameras Blinktrack: Feature tracking over 100 fps via events and im- ages, 2024

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source=pdf_text observed=2026-07-12T06:32:02.952904Z digest=sha256:2af63b7b96871a3eebf91b6ee3e70c0fdbb6ea88bb12afd3dc2acc4cc01d5fad

Observation 1351e8b3-425d-41b6-9c1d-60196a9f80c4 · outbound

This paper cites Good features to track.

E-TraMamba: A New Paradigm for Efficient Long-Term 3D Feature Tracking with Event Cameras Good features to track

Reference 45

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source=pdf_text observed=2026-07-12T06:32:02.952904Z digest=sha256:d9e68a63af218fb9cce87f13c7aa2ee446d91d1b3e9c9085038d30de376676c7

Observation d1a0580f-8f54-448a-9235-7b7eaa5be350 · outbound

This paper cites Exploring his- torical information for rgbe visual tracking with mamba.

E-TraMamba: A New Paradigm for Efficient Long-Term 3D Feature Tracking with Event Cameras Exploring his- torical information for rgbe visual tracking with mamba

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source=pdf_text observed=2026-07-12T06:32:02.952904Z digest=sha256:8239083abf8f559e2faa790e3e6be2d017c08b08e621b29bb35f356cd5a2de31

Observation b716619f-c2ed-45d6-87fa-c0d4c5c32dfe · outbound

This paper cites Revisiting color-event based tracking: A unified network, dataset, and metric, 2024.

E-TraMamba: A New Paradigm for Efficient Long-Term 3D Feature Tracking with Event Cameras Revisiting color-event based tracking: A unified network, dataset, and metric, 2024

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source=pdf_text observed=2026-07-12T06:32:02.952904Z digest=sha256:9a1eac8fc4d7063cb715107724fdea4291c98519aaa116ab04a0f1d043506a49

Observation 10b015b8-67f8-4f7c-820b-997879fb5547 · outbound

This paper cites Detection and tracking of point.Int J Comput Vis, 9(137-154):3, 1991.

E-TraMamba: A New Paradigm for Efficient Long-Term 3D Feature Tracking with Event Cameras Detection and tracking of point.Int J Comput Vis, 9(137-154):3, 1991

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source=pdf_text observed=2026-07-12T06:32:02.952904Z digest=sha256:4c2ac6e03fca51dfe6d4fccdb77591c2dd3f4751896112602f01bdb9e29dc0c5

Observation c3688415-62e4-4016-b7e8-e9bf48ac382b · outbound

This paper cites Spikepingpong: High-frequency spike vision-based robot learning for precise striking in ta- ble tennis game, 2025.

E-TraMamba: A New Paradigm for Efficient Long-Term 3D Feature Tracking with Event Cameras Spikepingpong: High-frequency spike vision-based robot learning for precise striking in ta- ble tennis game, 2025

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source=pdf_text observed=2026-07-12T06:32:02.952904Z digest=sha256:37a1fd1d4796e1da4ad1cf0c16012554bbd9dc94977df0692fa42807d7df9bdb

Observation d235881c-0a89-4bc9-b72d-be36cea1aaee · outbound

This paper cites Tracking everything everywhere all at once, 2023.

E-TraMamba: A New Paradigm for Efficient Long-Term 3D Feature Tracking with Event Cameras Tracking everything everywhere all at once, 2023

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source=pdf_text observed=2026-07-12T06:32:02.952904Z digest=sha256:15a71fb9e8d6391e550c8a707e145a1a453dee139b9d474fdff14de0b365fc87

Observation 3ff981fe-347e-47e6-a1f1-cc41ac7b4cc8 · outbound

This paper cites Mamba-fetrack v2: Revisiting state space model for frame-event based vi- sual object tracking, 2025.

E-TraMamba: A New Paradigm for Efficient Long-Term 3D Feature Tracking with Event Cameras Mamba-fetrack v2: Revisiting state space model for frame-event based vi- sual object tracking, 2025

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source=pdf_text observed=2026-07-12T06:32:02.952904Z digest=sha256:4a03fcedb0d3df1e9c18ee8b194996302f14f1842d734abb6e0626d92ada6f1e

Observation fff8babd-044b-4b7e-ad6e-64ca22b68718 · outbound

This paper cites Towards Low-Latency Event Stream-based Visual Object Tracking: A Slow-Fast Approach.

E-TraMamba: A New Paradigm for Efficient Long-Term 3D Feature Tracking with Event Cameras Towards Low-Latency Event Stream-based Visual Object Tracking: A Slow-Fast Approach

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source=pdf_text observed=2026-07-12T06:32:02.952904Z digest=sha256:00865cb32f9a23e9b48752c3c18a76e0b77daa88db802e5cbd7ce4215ab5c90a

Observation 0cf354d5-f28e-4a93-83ee-af71cbbeceba · outbound

This paper cites Event Stream-based Visual Object Tracking: HDETrack V2 and A High-Definition Benchmark.

E-TraMamba: A New Paradigm for Efficient Long-Term 3D Feature Tracking with Event Cameras Event Stream-based Visual Object Tracking: HDETrack V2 and A High-Definition Benchmark

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source=pdf_text observed=2026-07-12T06:32:02.952904Z digest=sha256:107a4afa448636170213283f2bdfb3a16e973285b0b7ce78df71830b7298c84a

Observation 9347df45-b9ce-433b-9a27-fa60c91859eb · outbound

This paper cites Visev- ent: Reliable object tracking via collaboration of frame and event flows.IEEE Transactions on Cybernetics, 54:1997– 2010, 2021.

E-TraMamba: A New Paradigm for Efficient Long-Term 3D Feature Tracking with Event Cameras Visev- ent: Reliable object tracking via collaboration of frame and event flows.IEEE Transactions on Cybernetics, 54:1997– 2010, 2021

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source=pdf_text observed=2026-07-12T06:32:02.952904Z digest=sha256:58825f42d00ffa6428459e0cc9f75c7b14f0da0f91b3d67349e92f8bdb115e09

Observation d5bba32c-7966-4555-b183-9d88d6429983 · outbound

This paper cites an unresolved cited work.

E-TraMamba: A New Paradigm for Efficient Long-Term 3D Feature Tracking with Event Cameras Unresolved cited work

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source=pdf_text observed=2026-07-12T06:32:02.952904Z digest=sha256:05e21036dc182f610a52ef4ba0ac09ee7fc3198acd940cf0d6f100dcec563d26

Observation 0835a4bd-38be-4de1-beff-1b200d713668 · outbound

This paper cites Fe-detr: Keypoint detection and tracking in low-quality image frames with events, 2024.

E-TraMamba: A New Paradigm for Efficient Long-Term 3D Feature Tracking with Event Cameras Fe-detr: Keypoint detection and tracking in low-quality image frames with events, 2024

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source=pdf_text observed=2026-07-12T06:32:02.952904Z digest=sha256:b981ed39c9fc238d9e94b517fb042e3ddb0539eae30acd6bb969c4e5beeadecc

Observation f8b26ab9-a446-4b67-890f-635059f75635 · outbound

This paper cites Long-Term Visual Object Tracking with Event Cameras: An Associative Memory Augmented Tracker and A Benchmark Dataset.

E-TraMamba: A New Paradigm for Efficient Long-Term 3D Feature Tracking with Event Cameras Long-Term Visual Object Tracking with Event Cameras: An Associative Memory Augmented Tracker and A Benchmark Dataset

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source=pdf_text observed=2026-07-12T06:32:02.952904Z digest=sha256:e0edf404129c5854897f04e36a305e1789e0faf9e44108b91b0482bbddd3b214

Observation de12f9c6-704e-4a3a-8a38-55c762b54876 · outbound

This paper cites Toward robust keypoint detection and tracking: A fusion approach with event-aligned image features.IEEE Robotics and Automation Letters, 9(9):8059–8066, 2024.

E-TraMamba: A New Paradigm for Efficient Long-Term 3D Feature Tracking with Event Cameras Toward robust keypoint detection and tracking: A fusion approach with event-aligned image features.IEEE Robotics and Automation Letters, 9(9):8059–8066, 2024

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source=pdf_text observed=2026-07-12T06:32:02.952904Z digest=sha256:a3b5b88dbdc9504c80948c3c0ad5e171719113d666127951c1f00ceb67fe71fe

Observation 39ae2a84-4f74-48df-aedd-09972e3347aa · outbound

This paper cites Mambatrack: A simple baseline for multiple object tracking with state space model, 2024.

E-TraMamba: A New Paradigm for Efficient Long-Term 3D Feature Tracking with Event Cameras Mambatrack: A simple baseline for multiple object tracking with state space model, 2024

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source=pdf_text observed=2026-07-12T06:32:02.952904Z digest=sha256:d547f101b2f8294effde7263a23c95c83c77a9d1579b217a484cef1a1a387548

Observation d39f3b57-09b6-4965-a9ed-babcb918f4c1 · outbound

This paper cites Spatialtracker: Tracking any 2d pixels in 3d space, 2024.

E-TraMamba: A New Paradigm for Efficient Long-Term 3D Feature Tracking with Event Cameras Spatialtracker: Tracking any 2d pixels in 3d space, 2024

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source=pdf_text observed=2026-07-12T06:32:02.952904Z digest=sha256:02d3f7607a35eaa1d7abffbb93c02f78e0d861c134a8c64e1d64b6eb5135a0a3

Observation 764e606f-796d-45ee-a34e-5f056c901bd3 · outbound

This paper cites Robust tracking via mamba-based context-aware token learning, 2024.

E-TraMamba: A New Paradigm for Efficient Long-Term 3D Feature Tracking with Event Cameras Robust tracking via mamba-based context-aware token learning, 2024

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source=pdf_text observed=2026-07-12T06:32:02.952904Z digest=sha256:3a633a40fe9cf6299ad5d430709c8911db574406e16bfc0cb9211ac4c587bfe9

Observation 77a0f16b-084f-4bfe-9210-4950d30031a5 · outbound

This paper cites Mm-tracker: Motion mamba with margin loss for uav- platform multiple object tracking, 2024.

E-TraMamba: A New Paradigm for Efficient Long-Term 3D Feature Tracking with Event Cameras Mm-tracker: Motion mamba with margin loss for uav- platform multiple object tracking, 2024

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source=pdf_text observed=2026-07-12T06:32:02.952904Z digest=sha256:2a679d43a31f9660effe251b0a2289bdc3c7a04be1b9c40dda6b9e88b562b86f

Observation cbe0d934-714d-45bb-a77d-460136e21461 · outbound

This paper cites an unresolved cited work.

E-TraMamba: A New Paradigm for Efficient Long-Term 3D Feature Tracking with Event Cameras Unresolved cited work

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source=pdf_text observed=2026-07-12T06:32:02.952904Z digest=sha256:612228ec46cbac3fbd2638f3cd4d5121d1ec624ccca0fe70e8af221a8ce839cc

Observation 5cff5071-730f-4a76-9b40-01fadd487576 · outbound

This paper cites Dong, Haiwei Zhang, Jianchuan Ding, Fe- lix Heide, Baocai Yin, and Xin Yang.

E-TraMamba: A New Paradigm for Efficient Long-Term 3D Feature Tracking with Event Cameras Dong, Haiwei Zhang, Jianchuan Ding, Fe- lix Heide, Baocai Yin, and Xin Yang

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source=pdf_text observed=2026-07-12T06:32:02.952904Z digest=sha256:b289f1e6ea746af7fa660e9a86c386f15d5dac40f135882defc7482dd3bd1451

Observation f6b3f876-47ee-4c1d-ac3d-18c44f9ed303 · outbound

This paper cites Frame-event alignment and fusion network for high frame rate tracking.2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), null:9781–9790, 2023.

E-TraMamba: A New Paradigm for Efficient Long-Term 3D Feature Tracking with Event Cameras Frame-event alignment and fusion network for high frame rate tracking.2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), null:9781–9790, 2023

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source=pdf_text observed=2026-07-12T06:32:02.952904Z digest=sha256:b39830ec5be817e841b72a0b65b1a760c72b9fb30b5c8e9da25534243a9290b7

Observation cd3f43a6-0d36-49b8-adea-327f5c3bbae4 · outbound

This paper cites Smmt: Siamese motion mamba with self-attention for thermal infrared target tracking, 2025.

E-TraMamba: A New Paradigm for Efficient Long-Term 3D Feature Tracking with Event Cameras Smmt: Siamese motion mamba with self-attention for thermal infrared target tracking, 2025

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source=pdf_text observed=2026-07-12T06:32:02.952904Z digest=sha256:96af77b34d45e28733dfad8597680f7f8ac1744694f4430c4f147f71df468235

Observation 5e595c99-186f-4d97-9cb4-b737f818c5d4 · outbound

This paper cites Debattista, Qiang Zhang, Guiguang Ding, and Jungong Han.

E-TraMamba: A New Paradigm for Efficient Long-Term 3D Feature Tracking with Event Cameras Debattista, Qiang Zhang, Guiguang Ding, and Jungong Han

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source=pdf_text observed=2026-07-12T06:32:02.952904Z digest=sha256:316fbda44830c1b7d2bd916e5639a65e8809fdab318c54a8f0b763f41c9322ff

Observation ab64e6f8-90f3-4071-8b40-595410ae7227 · outbound

This paper cites Harley, Bokui Shen, Gordon Wet- zstein, and Leonidas J.

E-TraMamba: A New Paradigm for Efficient Long-Term 3D Feature Tracking with Event Cameras Harley, Bokui Shen, Gordon Wet- zstein, and Leonidas J

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source=pdf_text observed=2026-07-12T06:32:02.952904Z digest=sha256:02e0e70ea07511e7f4b9754383d0cdc18155a4edb42f7b16ff06e02932b2ab6e

Observation d51242f4-efa1-4574-857f-bb2f931dafe5 · outbound

This paper cites Snntracker: Online high-speed multi-object tracking with spike camera.IEEE Transactions on Pattern Analysis and Machine Intelligence, pages 1–15, 2025.

E-TraMamba: A New Paradigm for Efficient Long-Term 3D Feature Tracking with Event Cameras Snntracker: Online high-speed multi-object tracking with spike camera.IEEE Transactions on Pattern Analysis and Machine Intelligence, pages 1–15, 2025

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source=pdf_text observed=2026-07-12T06:32:02.952904Z digest=sha256:5324b9c37983b45958a057d6947e3b3d17baac8c7f2b7f3580f253b7c9c14f28

Observation 4da9f009-d2cf-4662-93c4-2cb8a0964883 · outbound

This paper cites Event-based feature tracking with probabilistic data associ- ation.

E-TraMamba: A New Paradigm for Efficient Long-Term 3D Feature Tracking with Event Cameras Event-based feature tracking with probabilistic data associ- ation

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Observation ca5173da-ce83-4b5a-8cca-f082fbaaffad · outbound

This paper cites Realtime time synchronized event-based stereo, 2018.

E-TraMamba: A New Paradigm for Efficient Long-Term 3D Feature Tracking with Event Cameras Realtime time synchronized event-based stereo, 2018

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Observation 07b7cb0d-2e9e-4ed0-b306-aa1433801a78 · outbound

This paper cites CRSOT: Cross-Resolution Object Tracking using Unaligned Frame and Event Cameras.

E-TraMamba: A New Paradigm for Efficient Long-Term 3D Feature Tracking with Event Cameras CRSOT: Cross-Resolution Object Tracking using Unaligned Frame and Event Cameras

Reference 72

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Observation b9e64077-b316-460e-9484-d935e4044942 · outbound

This paper cites Learning graph- embedded key-event back-tracing for object tracking in event clouds.Advances in Neural Information Processing Systems, 2022.

E-TraMamba: A New Paradigm for Efficient Long-Term 3D Feature Tracking with Event Cameras Learning graph- embedded key-event back-tracing for object tracking in event clouds.Advances in Neural Information Processing Systems, 2022

Reference 73

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Observation b465dc2d-dd10-4fd3-9050-c0613e3b7223 · outbound

This paper cites Cross- modal orthogonal high-rank augmentation for rgb-event transformer-trackers.2023 IEEE/CVF International Confer- ence on Computer Vision (ICCV), null:21988–21998, 2023.

E-TraMamba: A New Paradigm for Efficient Long-Term 3D Feature Tracking with Event Cameras Cross- modal orthogonal high-rank augmentation for rgb-event transformer-trackers.2023 IEEE/CVF International Confer- ence on Computer Vision (ICCV), null:21988–21998, 2023

Reference 74

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Observation 4bc682d6-5d33-4f38-b72a-33825873550a · outbound

This paper cites Our model supports bothstereoandmonocular+depth configurations, which we describe separately below.

E-TraMamba: A New Paradigm for Efficient Long-Term 3D Feature Tracking with Event Cameras Our model supports bothstereoandmonocular+depth configurations, which we describe separately below

Reference 75

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Observation 1fd06a83-24a9-4689-a9bd-636a6d81b0e5 · outbound

This paper cites Overview As an implementation supplement to Sec.

E-TraMamba: A New Paradigm for Efficient Long-Term 3D Feature Tracking with Event Cameras Overview As an implementation supplement to Sec

Reference 76

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