Paper Citation Record · LEDGER

MambaTrack: Exploiting Dual-Enhancement for Night UAV Tracking

As of 16 August 2026, this Paper Citation Record lists 43 of 43 outbound references and 0 inbound Pith citation observations for arXiv:2411.15761.

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

pith.paper-citation-record.v1
2411.15761 v2

Coverage vector

measured 43 of 43 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T13:59:24.168450Z

measured 43 of 43 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

43 of 43 outbound references displayed

verified exact1
verified fuzzy26
unresolved16
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation c69318c0-abfb-454a-93c1-a4c198e249ec · outbound

This paper cites Webuav-3m: A benchmark for unveiling the power of million- scale deep uav tracking,.

MambaTrack: Exploiting Dual-Enhancement for Night UAV Tracking Webuav-3m: A benchmark for unveiling the power of million- scale deep uav tracking,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:59:24.760341Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation a272370b-6fb5-4ee5-9b0d-8f2a83eac05b · outbound

This paper cites All-day object tracking for unmanned aerial vehicle,.

MambaTrack: Exploiting Dual-Enhancement for Night UAV Tracking All-day object tracking for unmanned aerial vehicle,

Reference 2

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 31d1ea23-ef0f-44dd-a938-bf4065d18c55 · outbound

This paper cites Accurate uav tracking with distance-injected overlap maximization,.

MambaTrack: Exploiting Dual-Enhancement for Night UAV Tracking Accurate uav tracking with distance-injected overlap maximization,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:59:24.737074Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation f5e3868d-56fc-432f-86b6-6430e96dc69c · outbound

This paper cites Unsupervised domain adaptation for nighttime aerial tracking,.

MambaTrack: Exploiting Dual-Enhancement for Night UAV Tracking Unsupervised domain adaptation for nighttime aerial tracking,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:59:24.723357Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 5d217a7d-20f3-4c3f-bbd8-3c9bb51daf33 · outbound

This paper cites A Comprehensive Survey on Segment Anything Model for Vision and Beyond.

MambaTrack: Exploiting Dual-Enhancement for Night UAV Tracking A Comprehensive Survey on Segment Anything Model for Vision and Beyond

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-12T13:59:23.989686Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 59a68c15-e718-4707-b7a0-2b9ef38c1416 · outbound

This paper cites Cascaded correlation refinement for robust deep tracking,.

MambaTrack: Exploiting Dual-Enhancement for Night UAV Tracking Cascaded correlation refinement for robust deep tracking,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:59:24.709277Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation a3d273bc-0b39-4037-b5ab-2ea62b69e5b3 · outbound

This paper cites Distilling channels for efficient deep tracking,.

MambaTrack: Exploiting Dual-Enhancement for Night UAV Tracking Distilling channels for efficient deep tracking,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:59:24.695243Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 6c2b0176-8eac-4160-afab-70fb64d8d762 · outbound

This paper cites Segment Anything for Videos: A Systematic Survey.

MambaTrack: Exploiting Dual-Enhancement for Night UAV Tracking Segment Anything for Videos: A Systematic Survey

Reference 8

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4c873ac7-2954-42f1-9106-237bdb2e4156 · outbound

This paper cites Darklighter: Light up the darkness for uav tracking,.

MambaTrack: Exploiting Dual-Enhancement for Night UAV Tracking Darklighter: Light up the darkness for uav tracking,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:59:24.679817Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation befa0bd0-7e1b-4067-9f9d-8f6c51579afe · outbound

This paper cites Tracker meets night: A transformer enhancer for uav tracking,.

MambaTrack: Exploiting Dual-Enhancement for Night UAV Tracking Tracker meets night: A transformer enhancer for uav tracking,

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-12T13:59:24.013089Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9c08d3c4-8732-4207-8a07-cfb56d292a95 · outbound

This paper cites Adtrack: Target-aware dual filter learning for real-time anti-dark uav tracking,.

MambaTrack: Exploiting Dual-Enhancement for Night UAV Tracking Adtrack: Target-aware dual filter learning for real-time anti-dark uav tracking,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:59:24.656475Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation b75baef6-0c84-40b9-9ea9-d41f171ea1a1 · outbound

This paper cites Progressive domain-style translation for nighttime tracking,.

MambaTrack: Exploiting Dual-Enhancement for Night UAV Tracking Progressive domain-style translation for nighttime tracking,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:59:24.642935Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 1ad6b39c-bfcd-4d6d-a0f8-4a1f0ee12bf7 · outbound

This paper cites Visible-thermal uav tracking: A large-scale benchmark and new baseline,.

MambaTrack: Exploiting Dual-Enhancement for Night UAV Tracking Visible-thermal uav tracking: A large-scale benchmark and new baseline,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:59:24.629234Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation ac62c975-3142-49c7-b56b-dae398a0ca68 · outbound

This paper cites Joint visual grounding and tracking with natural language specification,.

MambaTrack: Exploiting Dual-Enhancement for Night UAV Tracking Joint visual grounding and tracking with natural language specification,

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-12T13:59:24.033212Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a2b94f65-a32f-4dcc-85d6-b7701c657be0 · outbound

This paper cites Citetracker: Correlating image and text for visual tracking,.

MambaTrack: Exploiting Dual-Enhancement for Night UAV Tracking Citetracker: Correlating image and text for visual tracking,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:59:24.605661Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation cca357bd-e553-4be8-ae6d-1d793d478f69 · outbound

This paper cites Mamba: Linear-Time Sequence Modeling with Selective State Spaces.

MambaTrack: Exploiting Dual-Enhancement for Night UAV Tracking Mamba: Linear-Time Sequence Modeling with Selective State Spaces

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-12T13:59:24.042816Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 18884ad3-2869-4eb3-b4c1-cf1bfe7ba6bd · outbound

This paper cites All in one: Exploring unified vision-language tracking with multi-modal alignment,.

MambaTrack: Exploiting Dual-Enhancement for Night UAV Tracking All in one: Exploring unified vision-language tracking with multi-modal alignment,

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-12T13:59:24.047755Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7ddc805e-6009-4944-999a-6d8ce7301317 · outbound

This paper cites The retinex theory of color vision,.

MambaTrack: Exploiting Dual-Enhancement for Night UAV Tracking The retinex theory of color vision,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:59:24.581838Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 3f5ef5e9-41fb-4bfc-b457-db6925361d3a · outbound

This paper cites Retinex- former: One-stage retinex-based transformer for low-light image en- hancement,.

MambaTrack: Exploiting Dual-Enhancement for Night UAV Tracking Retinex- former: One-stage retinex-based transformer for low-light image en- hancement,

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-12T13:59:24.057227Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 247419fb-f861-401e-bc18-16d5bb3aa6e0 · outbound

This paper cites Retinexmamba: Retinex-based Mamba for Low-light Image Enhancement.

MambaTrack: Exploiting Dual-Enhancement for Night UAV Tracking Retinexmamba: Retinex-based Mamba for Low-light Image Enhancement

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-12T13:59:24.061543Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1bf15b8a-c3a7-4f96-85c9-f02a91cde13b · outbound

This paper cites Robust deep tracking with two-step augmentation discriminative correlation filters,.

MambaTrack: Exploiting Dual-Enhancement for Night UAV Tracking Robust deep tracking with two-step augmentation discriminative correlation filters,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:59:24.558311Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation b3e899b5-353c-47c3-a80d-ff1b1c71e0a5 · outbound

This paper cites Pan-Mamba: Effective pan-sharpening with State Space Model.

MambaTrack: Exploiting Dual-Enhancement for Night UAV Tracking Pan-Mamba: Effective pan-sharpening with State Space Model

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-12T13:59:24.071153Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6f4b3547-2617-49b4-abf2-e40a63575855 · outbound

This paper cites Mamba-FETrack: Frame-Event Tracking via State Space Model.

MambaTrack: Exploiting Dual-Enhancement for Night UAV Tracking Mamba-FETrack: Frame-Event Tracking via State Space Model

Reference 23

Resolution: verified exact; local_arxiv, observed 2026-08-12T13:59:24.224806Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 73b2507c-2d7b-4fbe-9f99-6ffaf48a2fd0 · outbound

This paper cites 1d convolutional neural networks and applications: A survey,.

MambaTrack: Exploiting Dual-Enhancement for Night UAV Tracking 1d convolutional neural networks and applications: A survey,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:59:24.542533Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 1d24a929-fbd3-499e-82c3-6f754bd68457 · outbound

This paper cites Sigmoid-weighted linear units for neural network function approximation in reinforcement learning,.

MambaTrack: Exploiting Dual-Enhancement for Night UAV Tracking Sigmoid-weighted linear units for neural network function approximation in reinforcement learning,

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-12T13:59:24.084970Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1bac73b5-e832-4efe-86e3-248e2f715479 · outbound

This paper cites Language modeling with gated convolutional networks,.

MambaTrack: Exploiting Dual-Enhancement for Night UAV Tracking Language modeling with gated convolutional networks,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:59:24.520390Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 66f97bd2-b9e6-4da8-b727-0fbad42a24ab · outbound

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

MambaTrack: Exploiting Dual-Enhancement for Night UAV Tracking Joint feature learning and relation modeling for tracking: A one-stream framework,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:59:24.506233Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 99d7bb16-fe94-4058-87ee-46d2ad71594f · outbound

This paper cites Generalized intersection over union: A metric and a loss for bound- ing box regression,.

MambaTrack: Exploiting Dual-Enhancement for Night UAV Tracking Generalized intersection over union: A metric and a loss for bound- ing box regression,

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-12T13:59:24.098388Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9baa97dc-bac2-4761-8dc2-ce0a2a57fdfb · outbound

This paper cites Focal loss for dense object detection,.

MambaTrack: Exploiting Dual-Enhancement for Night UAV Tracking Focal loss for dense object detection,

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-12T13:59:24.102547Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ebdb9c49-5479-49bd-adc3-569fdc2479e8 · outbound

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

MambaTrack: Exploiting Dual-Enhancement for Night UAV Tracking Vision mamba: Efficient visual representation learning with bidirectional state space model,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:59:24.473482Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation f57de624-3652-4f30-bb8b-eb6109df6ebd · outbound

This paper cites GPT-NeoX: Large Scale Autoregressive Language Modeling in PyTorch,.

MambaTrack: Exploiting Dual-Enhancement for Night UAV Tracking GPT-NeoX: Large Scale Autoregressive Language Modeling in PyTorch,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:59:24.459292Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation f0413598-7ca2-49fd-8959-fc6865579c92 · outbound

This paper cites Deep Retinex Decomposition for Low-Light Enhancement.

MambaTrack: Exploiting Dual-Enhancement for Night UAV Tracking Deep Retinex Decomposition for Low-Light Enhancement

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-12T13:59:24.116041Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ba09340d-d7d0-4dfa-890d-b1bdc0b5e437 · outbound

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

MambaTrack: Exploiting Dual-Enhancement for Night UAV Tracking Track- ingnet: A large-scale dataset and benchmark for object tracking in the wild,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:59:24.444546Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 41834151-2ffd-4db1-b67e-8e3ae1a689b9 · outbound

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

MambaTrack: Exploiting Dual-Enhancement for Night UAV Tracking Got-10k: A large high-diversity benchmark for generic object tracking in the wild,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:59:24.430119Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 25cbc548-eb94-4379-a09b-15ea2bf86e2c · outbound

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

MambaTrack: Exploiting Dual-Enhancement for Night UAV Tracking Lasot: A high-quality benchmark for large-scale single object tracking,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:59:24.415666Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation f96eaf3d-36e4-4042-83a9-bd84c175f47c · outbound

This paper cites Microsoft coco: Common objects in context,.

MambaTrack: Exploiting Dual-Enhancement for Night UAV Tracking Microsoft coco: Common objects in context,

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-12T13:59:24.135524Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7c26d297-f265-43f5-86b4-dd47dc026b3b · outbound

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

MambaTrack: Exploiting Dual-Enhancement for Night UAV Tracking Learning spatio-temporal transformer for visual tracking,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:59:24.388089Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation c38baa59-0e6c-4b7f-9945-f62ee1b24839 · outbound

This paper cites Mixformerv2: Efficient fully transformer tracking,.

MambaTrack: Exploiting Dual-Enhancement for Night UAV Tracking Mixformerv2: Efficient fully transformer tracking,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:59:24.374362Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 099ae98a-9e6f-4ec0-b8e3-de5afd5d997a · outbound

This paper cites Divert more attention to vision- language tracking,.

MambaTrack: Exploiting Dual-Enhancement for Night UAV Tracking Divert more attention to vision- language tracking,

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:59:24.360738Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation be3357c0-e1bc-44c6-ad35-83d5578f00d0 · outbound

This paper cites Hift: Hierarchical feature transformer for aerial tracking,.

MambaTrack: Exploiting Dual-Enhancement for Night UAV Tracking Hift: Hierarchical feature transformer for aerial tracking,

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:59:24.346342Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation a275ee3a-f7c0-4c7a-9bd9-5f62e8bf2da2 · outbound

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

MambaTrack: Exploiting Dual-Enhancement for Night UAV Tracking High performance visual tracking with siamese region proposal network,

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:59:24.332409Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation bf02e568-c51c-4362-af7e-14cff312a9ed · outbound

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

MambaTrack: Exploiting Dual-Enhancement for Night UAV Tracking Learning discrim- inative model prediction for tracking,

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-12T13:59:24.163068Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 23e4c57a-d9bc-4189-a2cd-ff525395fc85 · outbound

This paper cites Efficient siamese network for uav tracking,.

MambaTrack: Exploiting Dual-Enhancement for Night UAV Tracking Efficient siamese network for uav tracking,

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:59:24.309017Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Pith citing papers

No inbound Pith citation observations are available.