Pith. sign in

Paper Citation Record · LEDGER

UMDATrack: Unified Multi-Domain Adaptive Tracking Under Adverse Weather Conditions

As of 8 August 2026, this Paper Citation Record lists 55 of 55 outbound references and 0 inbound Pith citation observations for arXiv:2507.00648.

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

pith.paper-citation-record.v1
2507.00648 v1

Coverage vector

measured 55 of 55 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T21:18:35.750104Z

measured 55 of 55 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 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

55 of 55 outbound references displayed

  • verified exact0
  • verified fuzzy47
  • unresolved8
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation a1dc875b-8186-498c-824c-c663f21c1495 · outbound

This paper cites Ar- trackv2: Prompting autoregressive tracker where to look and how to describe.

UMDATrack: Unified Multi-Domain Adaptive Tracking Under Adverse Weather Conditions Ar- trackv2: Prompting autoregressive tracker where to look and how to describe

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:18:43.220029Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-06T21:18:31.504110Z digest=sha256:31c0a804979244caca256a9dbebee50038734fc7fb548ecdf2a881a1a8fed047

Observation 9f70ccd9-49a9-4ca4-be4f-210335b202e6 · outbound

This paper cites Learning discriminative model prediction for track- ing.

UMDATrack: Unified Multi-Domain Adaptive Tracking Under Adverse Weather Conditions Learning discriminative model prediction for track- ing

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:18:43.095342Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-06T21:18:31.575812Z digest=sha256:998145c45b989803cce0f9f6927c1715950ce5a1488a01c6b6db1d92cd3162e9

Observation 8c52a87f-0655-4e70-85f0-6b02fb0f7230 · outbound

This paper cites Hiptrack: Vi- sual tracking with historical prompts.

UMDATrack: Unified Multi-Domain Adaptive Tracking Under Adverse Weather Conditions Hiptrack: Vi- sual tracking with historical prompts

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:18:42.901577Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-06T21:18:31.646933Z digest=sha256:54559a30796663fb96fad77688591555be3562eca642324c01cb9826feb9dd48

Observation c02dbf67-9acd-4a32-a701-dcf88eaf8762 · outbound

This paper cites Robust object modeling for visual tracking.

UMDATrack: Unified Multi-Domain Adaptive Tracking Under Adverse Weather Conditions Robust object modeling for visual tracking

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:18:42.787939Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-06T21:18:31.703666Z digest=sha256:1e206bb1d23de59dfd380cfde3574f8d68cb50826fa41747e0414afa913f996e

Observation b7452db8-4296-4d91-b985-01de2bbe6e88 · outbound

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

UMDATrack: Unified Multi-Domain Adaptive Tracking Under Adverse Weather Conditions Seqtrack: Sequence to sequence learning for visual object tracking

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:18:42.638867Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-06T21:18:31.804841Z digest=sha256:a3158a10d1b21ae8c14d78db62adf824017796c92de82364d82d94d4e7aa673e

Observation 15b173e0-7f08-4a0e-bb81-43f577381f90 · outbound

This paper cites Siamese box adaptive network for visual tracking.

UMDATrack: Unified Multi-Domain Adaptive Tracking Under Adverse Weather Conditions Siamese box adaptive network for visual tracking

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:18:42.511730Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-06T21:18:31.897299Z digest=sha256:86d8acf15c2518af04144b6988f0ff93788ccd9181d6ee3d03591db3bc5c2197

Observation 97a7c70a-8cbf-4267-b39c-74397aa22f61 · outbound

This paper cites Optimal transport for domain adaptation.

UMDATrack: Unified Multi-Domain Adaptive Tracking Under Adverse Weather Conditions Optimal transport for domain adaptation

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:18:42.380191Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-06T21:18:32.002582Z digest=sha256:2244b72886a3ec799116769348dcdddbf38a4b34732f566fa8933ff768de4c4e

Observation a540c1e8-d612-4819-837d-acf05bb59648 · outbound

This paper cites Sinkhorn distances: Lightspeed computation of optimal transport.

UMDATrack: Unified Multi-Domain Adaptive Tracking Under Adverse Weather Conditions Sinkhorn distances: Lightspeed computation of optimal transport

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:18:42.227629Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-06T21:18:32.103667Z digest=sha256:40b01979ac4bcb54e8ee5005106e29a50174ea48d97b9ba401ca8c28211f897c

Observation 15ace565-163a-4ed3-b4dc-02256c3a09bc · outbound

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

UMDATrack: Unified Multi-Domain Adaptive Tracking Under Adverse Weather Conditions An image is worth 16x16 words: Transformers for image recognition at scale

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-06T21:18:32.179540Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:18:32.179540Z digest=sha256:84bc437b0c0ea584f66536697819a97dcd44444db07ed8fe360b1d8a8cd73eaa

Observation 36bbcc71-2e31-4e6a-b0b9-5b536823b118 · outbound

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

UMDATrack: Unified Multi-Domain Adaptive Tracking Under Adverse Weather Conditions Lasot: A high-quality benchmark for large-scale single object tracking

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:18:42.096435Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-06T21:18:32.280681Z digest=sha256:d7d592a65ac9979cf981f94be39829ca6296e07fd8bdfbe07d6de9ec5e190d21

Observation dbcf02bd-3685-4971-b545-35b6ce6abcc0 · outbound

This paper cites Highlightnet: Highlighting low-light potential features for real-time UA V tracking.

UMDATrack: Unified Multi-Domain Adaptive Tracking Under Adverse Weather Conditions Highlightnet: Highlighting low-light potential features for real-time UA V tracking

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:18:41.951151Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-06T21:18:32.397389Z digest=sha256:0592d687a239dca12b6f8a9ad02cdb75ac15cd9b8147715e0d291e2167e65bf4

Observation b7d22c1f-c1cd-459d-bb18-c7da39ede3ec · outbound

This paper cites SAM-DA: UA V Tracks Anything at Night with SAM-Powered Domain Adaptation.

UMDATrack: Unified Multi-Domain Adaptive Tracking Under Adverse Weather Conditions SAM-DA: UA V Tracks Anything at Night with SAM-Powered Domain Adaptation

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:18:41.802794Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-06T21:18:32.495068Z digest=sha256:41fc095ce695840493928137a13c9f0e2f17021eb327574df4c9bb21ac316159

Observation a14631d6-3f7a-421b-a0c4-1d33047daff7 · outbound

This paper cites Expressive text-to-image generation with rich text.

UMDATrack: Unified Multi-Domain Adaptive Tracking Under Adverse Weather Conditions Expressive text-to-image generation with rich text

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:18:41.649855Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-06T21:18:32.580932Z digest=sha256:df434b8669bb3e121abe0d3eef69cea6088b753fcbe4804735c63c65114ad00c

Observation 33623773-9dcd-4299-b731-26c008914538 · outbound

This paper cites Separable self and mixed attention transformers for efficient object tracking.

UMDATrack: Unified Multi-Domain Adaptive Tracking Under Adverse Weather Conditions Separable self and mixed attention transformers for efficient object tracking

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:18:41.499114Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-06T21:18:32.662663Z digest=sha256:823d1fcbe5e77af0155b87f2559ce917c88384ee61943c1dda0127e090f5e0ae

Observation 1b312253-c7e6-4757-80b0-d17917c513e2 · outbound

This paper cites Visualizing data using t-sne journal of machine learning research.

UMDATrack: Unified Multi-Domain Adaptive Tracking Under Adverse Weather Conditions Visualizing data using t-sne journal of machine learning research

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:18:41.298593Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-06T21:18:32.745879Z digest=sha256:400072d8d794a49db994d9016a8888136d93710617b7fadc18bfc3fb4bb10bb8

Observation bd60b025-e771-4200-8ac4-acb95a5359ef · outbound

This paper cites SOOD: towards semi- supervised oriented object detection.

UMDATrack: Unified Multi-Domain Adaptive Tracking Under Adverse Weather Conditions SOOD: towards semi- supervised oriented object detection

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:18:41.156619Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-06T21:18:32.810677Z digest=sha256:59ada64510b0b3c0e1794f4349b5989a35f64e66b8af9294df0c64afcedda6ab

Observation ea2f0260-a73d-4b4e-b10a-0ebeed992040 · outbound

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

UMDATrack: Unified Multi-Domain Adaptive Tracking Under Adverse Weather Conditions Got-10k: A large high-diversity benchmark for generic object tracking in the wild

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:18:41.016389Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-06T21:18:32.883264Z digest=sha256:f852bf1916ba490a873ab8fb4bd6d81c1dd88e3bbeb294fbbfddc562562e567d

Observation e80d2524-822d-49e5-ab2e-14fa2c0dff6c · outbound

This paper cites an unresolved cited work.

UMDATrack: Unified Multi-Domain Adaptive Tracking Under Adverse Weather Conditions Unresolved cited work

Reference 18

Resolution
unresolved
raw_fallback, observed 2026-08-06T21:18:40.857201Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-06T21:18:32.959495Z digest=sha256:56ca666eccb624744a3c851c150741e77c64b4b98157d82613601b8372893a6c

Observation aeee1519-6bc4-4c52-bc5f-46baacbdcbb7 · outbound

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

UMDATrack: Unified Multi-Domain Adaptive Tracking Under Adverse Weather Conditions Adtrack: Target-aware dual filter learning for real-time anti-dark UA V tracking

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:18:40.681652Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-06T21:18:33.046903Z digest=sha256:297b9bef1efa9e57ccc4227b2e8d823f5e1436febe02df5a2ea22379e6936e5f

Observation eab92a42-cf8f-470d-94ef-c31374cef24e · outbound

This paper cites Siamrpn++: Evolution of siamese visual tracking with very deep networks.

UMDATrack: Unified Multi-Domain Adaptive Tracking Under Adverse Weather Conditions Siamrpn++: Evolution of siamese visual tracking with very deep networks

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:18:40.552589Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-06T21:18:33.127210Z digest=sha256:75366523c57201bb44a8166dd668170d9c4902e87428b349f711e5b1ac46eeb8

Observation 03f27a9e-6e7a-47ed-806e-334ed9578856 · outbound

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

UMDATrack: Unified Multi-Domain Adaptive Tracking Under Adverse Weather Conditions High performance visual tracking with siamese region proposal network

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:18:40.399249Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-06T21:18:33.198842Z digest=sha256:2bd9ee705cafe27cf132abe4b7c4dac6577dc45715a2b50f526453b4197a7d2d

Observation d37d1f90-6179-4840-a4e3-2d631be04678 · outbound

This paper cites Visual object tracking for un- manned aerial vehicles: A benchmark and new motion models.

UMDATrack: Unified Multi-Domain Adaptive Tracking Under Adverse Weather Conditions Visual object tracking for un- manned aerial vehicles: A benchmark and new motion models

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:18:40.257699Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-06T21:18:33.255652Z digest=sha256:09abf707d160be98572e0925e9e900bc2e70bbf9b708fef1f128005fdf0cc3c2

Observation c50c65f7-05f3-4bc9-9aae-d70a0f0e5a05 · outbound

This paper cites Training-Free Model Merging for Multi-target Domain Adaptation.

UMDATrack: Unified Multi-Domain Adaptive Tracking Under Adverse Weather Conditions Training-Free Model Merging for Multi-target Domain Adaptation

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-06T21:18:33.327921Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:18:33.327921Z digest=sha256:1fe26b064315839490769f9debbddd681e2334623875414d1639a99bb0c78c7c

Observation 9cb90988-2679-4164-8f3a-a9e752aee3c3 · outbound

This paper cites Sigma: Semantic- complete graph matching for domain adaptive object detec- tion.

UMDATrack: Unified Multi-Domain Adaptive Tracking Under Adverse Weather Conditions Sigma: Semantic- complete graph matching for domain adaptive object detec- tion

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:18:40.085638Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-06T21:18:33.393454Z digest=sha256:b5ae0d94cdfcd3d76f069ca7e37c13660484e8a130e8d126c6e83212801d1379

Observation c81498ac-f67f-49db-974f-27896400e0a8 · outbound

This paper cites Learning adaptive and view-invariant vision transformer for real-time uav tracking.

UMDATrack: Unified Multi-Domain Adaptive Tracking Under Adverse Weather Conditions Learning adaptive and view-invariant vision transformer for real-time uav tracking

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:18:39.949909Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-06T21:18:33.461395Z digest=sha256:221428dfe5f0303cbb0d59de67a4eb3127936d8f6a57475ad69915b910f8ac22

Observation 49277b98-29ac-47de-b6fc-acbec48ae24b · outbound

This paper cites Microsoft coco: Common objects in context.

UMDATrack: Unified Multi-Domain Adaptive Tracking Under Adverse Weather Conditions Microsoft coco: Common objects in context

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-06T21:18:33.552628Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:18:33.552628Z digest=sha256:3f08916bf9fdf08236a1e85ecb7f17ad0061248873e8322cdc9b2e47eadad4b0

Observation 738178a3-1397-4154-8885-e0bf1ea62e45 · outbound

This paper cites Breuel, and Jan Kautz.

UMDATrack: Unified Multi-Domain Adaptive Tracking Under Adverse Weather Conditions Breuel, and Jan Kautz

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:18:39.808083Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-06T21:18:33.622666Z digest=sha256:9c7890c95ab54ec936430304ac173e34e34c8d7e4455f18e1720b58b990bef8d

Observation 3ca2c4fc-c3be-4aeb-8261-cfc2783855e2 · outbound

This paper cites Mutual-Learning Knowledge Distillation for Nighttime UAV Tracking.

UMDATrack: Unified Multi-Domain Adaptive Tracking Under Adverse Weather Conditions Mutual-Learning Knowledge Distillation for Nighttime UAV Tracking

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-06T21:18:33.693366Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:18:33.693366Z digest=sha256:5a6f27e7619903a7c6ab7282cd69f87107b24c17ab500b333301f5f5d1347616

Observation 3ca8a324-9578-4f37-b0f2-f6df4d481995 · outbound

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

UMDATrack: Unified Multi-Domain Adaptive Tracking Under Adverse Weather Conditions Trackingnet: A large-scale dataset and benchmark for object tracking in the wild

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:18:39.661713Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-06T21:18:33.781164Z digest=sha256:eb791ed1ef8174f745f07db7cac7e7ce4fd28cf3bc15b32798447c34f1a9e877

Observation b5e3f2c7-e884-4418-b16a-d56d6df6d877 · outbound

This paper cites GLIDE: towards photorealistic image gen- eration and editing with text-guided diffusion models.

UMDATrack: Unified Multi-Domain Adaptive Tracking Under Adverse Weather Conditions GLIDE: towards photorealistic image gen- eration and editing with text-guided diffusion models

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:18:39.500287Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-06T21:18:33.877587Z digest=sha256:e7a5530c032bd1760aad081ce20319b2802dcdf15f68a1f8ec03fdf19f330444

Observation 3d174cec-3858-4abe-848c-bc31f4c868b6 · outbound

This paper cites Avist: A benchmark for visual object tracking in adverse visibility.

UMDATrack: Unified Multi-Domain Adaptive Tracking Under Adverse Weather Conditions Avist: A benchmark for visual object tracking in adverse visibility

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:18:39.363526Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-06T21:18:33.936742Z digest=sha256:53ffe0893524487718e34881d2c9d46c8ed8718da3dc82c40ddb3f8af033600e

Observation 4a6ac59d-5a32-4372-93eb-ced43d26f369 · outbound

This paper cites Zero-shot text-to-image generation.

UMDATrack: Unified Multi-Domain Adaptive Tracking Under Adverse Weather Conditions Zero-shot text-to-image generation

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:18:39.247315Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-06T21:18:34.020941Z digest=sha256:11f8b4ae79b3b2e6e7693a2de092db116d85a7f2a3cd68aacd1a46e2cafaee6a

Observation ffe1a454-6013-4668-9e13-33cd11ef8b03 · outbound

This paper cites Generalized in- tersection over union: A metric and a loss for bounding box regression.

UMDATrack: Unified Multi-Domain Adaptive Tracking Under Adverse Weather Conditions Generalized in- tersection over union: A metric and a loss for bounding box regression

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:18:39.094000Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-06T21:18:34.079764Z digest=sha256:aac8300e0ef3fb82b51eedc812ce28fa00e3c8e790bdaca629755b3b02b50634

Observation f2e84d14-5415-45ae-9ec1-abd15520d19d · outbound

This paper cites Focal loss for dense ob- ject detection.

UMDATrack: Unified Multi-Domain Adaptive Tracking Under Adverse Weather Conditions Focal loss for dense ob- ject detection

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:18:38.960009Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-06T21:18:34.149203Z digest=sha256:2fca84d100623fe80c23441e4e939edf5adc33d1ddb0e110e6d85423c7725715

Observation ba862dd1-5cb9-434f-9bd3-5c39935e7f5e · outbound

This paper cites Curriculum graph co-teaching for multi- target domain adaptation.

UMDATrack: Unified Multi-Domain Adaptive Tracking Under Adverse Weather Conditions Curriculum graph co-teaching for multi- target domain adaptation

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:18:38.815562Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-06T21:18:34.222485Z digest=sha256:41125c5be1ecf138cd5f149c5766d1b24c110e3b12827538436d7e24874ad136

Observation 8298791c-b9bb-4e45-a65a-265753889cc3 · outbound

This paper cites Adversarial diffusion distillation.

UMDATrack: Unified Multi-Domain Adaptive Tracking Under Adverse Weather Conditions Adversarial diffusion distillation

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:18:38.657563Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-06T21:18:34.307274Z digest=sha256:bcadc89fe988ace8431a76a2be346dbfc74f2418f039bb07578c04f6f7f28e40

Observation b4680da1-dbce-4482-aca1-23a574687a66 · outbound

This paper cites Explicit visual prompts for visual object tracking.

UMDATrack: Unified Multi-Domain Adaptive Tracking Under Adverse Weather Conditions Explicit visual prompts for visual object tracking

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:18:38.491850Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-06T21:18:34.366340Z digest=sha256:a12251f274a21e48bbf4cb368b969e5b788d5852c433836b77561f11d2862c96

Observation 3818e6f7-304b-4a22-a911-5fe955b73a75 · outbound

This paper cites Cross-modal pattern- propagation for RGB-T tracking.

UMDATrack: Unified Multi-Domain Adaptive Tracking Under Adverse Weather Conditions Cross-modal pattern- propagation for RGB-T tracking

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:18:38.363030Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-06T21:18:34.437708Z digest=sha256:194cc0fee84e7cddcd09a8f1145a69fb1c0ff020a3b1df406d5ca17a6450658f

Observation d3c68c48-62e7-4586-9f4e-8f8f7ccdaba5 · outbound

This paper cites Bovik, Hamid R.

UMDATrack: Unified Multi-Domain Adaptive Tracking Under Adverse Weather Conditions Bovik, Hamid R

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:18:38.205659Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-06T21:18:34.544541Z digest=sha256:41e5e7bab995e1c4da503ef78f96f408f2e79c27d8fc2661f620b80cf5689f9e

Observation a825b701-71a3-4c90-b752-973cfa346667 · outbound

This paper cites Lvptrack: High per- formance domain adaptive UA V tracking with label aligned visual prompt tuning.

UMDATrack: Unified Multi-Domain Adaptive Tracking Under Adverse Weather Conditions Lvptrack: High per- formance domain adaptive UA V tracking with label aligned visual prompt tuning

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:18:38.034747Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-06T21:18:34.598230Z digest=sha256:23624cbc58801b8b3a3edc47cf1edd916cd99a021cd3495783635e7303da489d

Observation 7b597faf-8d04-45e1-9c83-3118bccee74f · outbound

This paper cites an unresolved cited work.

UMDATrack: Unified Multi-Domain Adaptive Tracking Under Adverse Weather Conditions Unresolved cited work

Reference 41

Resolution
unresolved
raw_fallback, observed 2026-08-06T21:18:37.869158Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-06T21:18:34.677584Z digest=sha256:7a081a103b4f013455f60303d74e3d7b2e0ead0c663f27359986b10fca5845b9

Observation 600b6f8c-1621-43ef-a2b8-47d48e6c77bb · outbound

This paper cites Autore- gressive queries for adaptive tracking with spatio-temporal transformers.

UMDATrack: Unified Multi-Domain Adaptive Tracking Under Adverse Weather Conditions Autore- gressive queries for adaptive tracking with spatio-temporal transformers

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:18:37.701251Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-06T21:18:34.787351Z digest=sha256:95ccd939296f95677bd9dca92e15a49ee72126f2889888f0b4f7574020785c30

Observation 61775eb0-1719-4e19-a3bf-098a67e848a2 · outbound

This paper cites Depthtrack: Un- veiling the power of RGBD tracking.

UMDATrack: Unified Multi-Domain Adaptive Tracking Under Adverse Weather Conditions Depthtrack: Un- veiling the power of RGBD tracking

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:18:37.566486Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-06T21:18:34.871154Z digest=sha256:65a729d77badb74ca0cf6bd93b16cef101f0368e1984b11bde750db5f71e469d

Observation 91cf556a-5034-4c3a-b25e-ed183300a370 · outbound

This paper cites Unctrack: Reliable visual object tracking with uncertainty-aware prototype memory network.

UMDATrack: Unified Multi-Domain Adaptive Tracking Under Adverse Weather Conditions Unctrack: Reliable visual object tracking with uncertainty-aware prototype memory network

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:18:37.412798Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-06T21:18:34.979079Z digest=sha256:fbb6f0edf871e9acd55a84d6b322cf254ab694bc79a93da2993f14377f1d8471

Observation 53bcb3e0-9a24-458a-81ec-91ed2b90e924 · outbound

This paper cites Learning deep lucas-kanade siamese network for visual tracking.

UMDATrack: Unified Multi-Domain Adaptive Tracking Under Adverse Weather Conditions Learning deep lucas-kanade siamese network for visual tracking

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:18:37.259200Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-06T21:18:35.062015Z digest=sha256:4cdc8e1c25a43e447b7e42cf37758d09be04192f85ccda4acc71e85ee5442b98

Observation c484a9ed-38d9-4b1b-a1da-d9ccb551b26f · outbound

This paper cites Robust online tracking via con- trastive spatio-temporal aware network.

UMDATrack: Unified Multi-Domain Adaptive Tracking Under Adverse Weather Conditions Robust online tracking via con- trastive spatio-temporal aware network

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:18:37.132969Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-06T21:18:35.116375Z digest=sha256:fd4b79153120f0a39235fa98d5e86ee465f9859489f1fea260407594fabcafc5

Observation f8e21fb7-b624-412a-9cd2-d638d49a6146 · outbound

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

UMDATrack: Unified Multi-Domain Adaptive Tracking Under Adverse Weather Conditions Joint feature learning and relation modeling for tracking: A one-stream framework

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:18:36.986796Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-06T21:18:35.193630Z digest=sha256:afda2fd0d058d823ea00a4636fbbc37bf9207278c14e661e440dae7fc839977f

Observation cf175a08-120e-4b1a-bb61-e0ab2af32283 · outbound

This paper cites Darklighter: Light up the darkness for UA V track- ing.

UMDATrack: Unified Multi-Domain Adaptive Tracking Under Adverse Weather Conditions Darklighter: Light up the darkness for UA V track- ing

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:18:36.885876Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-06T21:18:35.288015Z digest=sha256:45c56165d9fe5a5bdac43603b285a5d542bafed9d003df8fa7048d1b2eac2216

Observation 16ecfd38-a849-4918-810e-db98dde67519 · outbound

This paper cites Unsupervised domain adaptation for nighttime aerial tracking.

UMDATrack: Unified Multi-Domain Adaptive Tracking Under Adverse Weather Conditions Unsupervised domain adaptation for nighttime aerial tracking

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:18:36.730293Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-06T21:18:35.342865Z digest=sha256:aae942c9b90e7b9e7759d67edc5d99de71ebeeb6eae6bbae9cc99626f7953e8c

Observation 2e92f1f9-bf7f-4d1b-809f-842ada5eb197 · outbound

This paper cites Adding conditional control to text-to-image diffusion models.

UMDATrack: Unified Multi-Domain Adaptive Tracking Under Adverse Weather Conditions Adding conditional control to text-to-image diffusion models

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:18:36.566726Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-06T21:18:35.419809Z digest=sha256:33c88658bf1a751fcee4e188da0ab31150cda86963ef45c86787dcceaab208a2

Observation eb8bdc73-71d7-4a6b-9b93-859b4bc8c9a0 · outbound

This paper cites Efros, Eli Shechtman, and Oliver Wang.

UMDATrack: Unified Multi-Domain Adaptive Tracking Under Adverse Weather Conditions Efros, Eli Shechtman, and Oliver Wang

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:18:36.446348Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-06T21:18:35.494491Z digest=sha256:0a210623bf0e0947fbf30812a797f2a74d88b331fa59a26802a06844b21417d7

Observation a2340b03-7a35-4a85-a71b-0f8ce5460e97 · outbound

This paper cites Domain Adaptive SiamRPN++ for Object Tracking in the Wild.

UMDATrack: Unified Multi-Domain Adaptive Tracking Under Adverse Weather Conditions Domain Adaptive SiamRPN++ for Object Tracking in the Wild

Reference 52

Resolution
unresolved
no resolver link, observed 2026-08-06T21:18:35.548926Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:18:35.548926Z digest=sha256:3febe93d4f953e610744485da58a7e0c4b491a2067da530f53a13c5ef9971cbe

Observation 79e9ea22-94d5-42c6-a05f-5bf317b0a01e · outbound

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

UMDATrack: Unified Multi-Domain Adaptive Tracking Under Adverse Weather Conditions Odtrack: Online dense temporal token learning for visual tracking

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:18:36.292083Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-06T21:18:35.621493Z digest=sha256:44a8a13b7729aa610ce7ba7b57f0fb8b771059afb722a030c9f0aaa4ab4d18ea

Observation 3f6d04ef-9ac6-4b35-9f3b-c8408ff19a04 · outbound

This paper cites an unresolved cited work.

UMDATrack: Unified Multi-Domain Adaptive Tracking Under Adverse Weather Conditions Unresolved cited work

Reference 54

Resolution
unresolved
raw_fallback, observed 2026-08-06T21:18:36.128302Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-06T21:18:35.688186Z digest=sha256:2adbb9909b6e49b97f621a9cc75f3a552a0534e681d55e667d73ea466815e20b

Observation a254e0d0-7055-4644-b90f-3d137d02c982 · outbound

This paper cites DCPT: darkness clue-prompted tracking in nighttime uavs.

UMDATrack: Unified Multi-Domain Adaptive Tracking Under Adverse Weather Conditions DCPT: darkness clue-prompted tracking in nighttime uavs

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:18:35.960280Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-06T21:18:35.750104Z digest=sha256:fa152d2b23e17c69216977b5ed62d8df38b3fc0d899d22a1d559e1a722a9696f

Pith citing papers

No inbound Pith citation observations are available.