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Paper Citation Record · LEDGER

Progressive Scaling Visual Object Tracking

As of 22 August 2026, this Paper Citation Record lists 100 of 106 outbound references and 0 inbound Pith citation observations for arXiv:2505.19990.

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

pith.paper-citation-record.v1
2505.19990 v2

Coverage vector

measured 100 of 106 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:11:15.127792Z

measured 100 of 100 standing notices

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Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+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

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

Source: cited_works

Reference resolution

100 of 106 outbound references displayed

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Outbound references

Observation b0c84543-f663-451a-b429-6ef9aff5b0e6 · outbound

This paper cites Tao: A large-scale bench- mark for tracking any object.European Conference on Computer Vision, pages 436–454, 2020.

Progressive Scaling Visual Object Tracking Tao: A large-scale bench- mark for tracking any object.European Conference on Computer Vision, pages 436–454, 2020

Reference 1

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Observation 325a880c-0327-4032-a1a0-0350fcc62133 · outbound

This paper cites Revisiting neural scaling laws in language and vi- sion.Advances in Neural Information Processing Systems, 35:22300–22312, 2022.

Progressive Scaling Visual Object Tracking Revisiting neural scaling laws in language and vi- sion.Advances in Neural Information Processing Systems, 35:22300–22312, 2022

Reference 2

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Observation 37ab9bb2-c3c5-4aac-9793-43432a617450 · outbound

This paper cites Getting vit in shape: Scal- ing laws for compute-optimal model design.Advances in Neural Information Processing Systems, 36, 2024.

Progressive Scaling Visual Object Tracking Getting vit in shape: Scal- ing laws for compute-optimal model design.Advances in Neural Information Processing Systems, 36, 2024

Reference 3

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Observation ab48a6d1-9b0e-424f-8a3d-5193a37fddb1 · outbound

This paper cites ARTrackV2: Prompting Autoregressive Tracker Where to Look and How to Describe.

Progressive Scaling Visual Object Tracking ARTrackV2: Prompting Autoregressive Tracker Where to Look and How to Describe

Reference 4

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Observation 85545810-1af6-436f-8d63-a35dea06a219 · outbound

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

Progressive Scaling Visual Object Tracking Ar- trackv2: Prompting autoregressive tracker where to look and how to describe

Reference 5

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Observation f7775140-9941-4576-bc16-2a3b4380a34f · outbound

This paper cites Fully-convolutional siamese networks for object tracking.

Progressive Scaling Visual Object Tracking Fully-convolutional siamese networks for object tracking

Reference 6

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Observation e15b4302-9f8a-449c-9a9e-2588f135665a · outbound

This paper cites Learning discriminative model prediction for tracking.

Progressive Scaling Visual Object Tracking Learning discriminative model prediction for tracking

Reference 7

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Observation 8573ed09-0f62-4d10-bf81-c26f0a6df091 · outbound

This paper cites Visual object tracking using adaptive corre- lation filters.

Progressive Scaling Visual Object Tracking Visual object tracking using adaptive corre- lation filters

Reference 8

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Observation 6fd7e908-e700-42a6-9460-e172aa2d65c8 · outbound

This paper cites Language Models are Few-Shot Learners.

Progressive Scaling Visual Object Tracking Language Models are Few-Shot Learners

Reference 9

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Observation 14c25b1f-eff0-4316-a75c-d2ad0b5e2a00 · outbound

This paper cites Smpler-x: Scaling up expressive human pose and shape estimation.Advances in Neural Information Processing Systems, 36, 2024.

Progressive Scaling Visual Object Tracking Smpler-x: Scaling up expressive human pose and shape estimation.Advances in Neural Information Processing Systems, 36, 2024

Reference 10

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Observation e6424aee-b368-4e82-a185-e356dac8ee3d · outbound

This paper cites Back- bone is all your need: A simplified architecture for visual object tracking.

Progressive Scaling Visual Object Tracking Back- bone is all your need: A simplified architecture for visual object tracking

Reference 11

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Observation 439e4df4-3cd9-4a57-94c4-53ff4e097bda · outbound

This paper cites Deepdriving: Learning affordance for direct percep- tion in autonomous driving.

Progressive Scaling Visual Object Tracking Deepdriving: Learning affordance for direct percep- tion in autonomous driving

Reference 12

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Observation fc2b4dc0-1c61-441e-b1e8-7de28fd4108c · outbound

This paper cites Transformer tracking.

Progressive Scaling Visual Object Tracking Transformer tracking

Reference 13

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Observation 2cba22f2-772d-4c8e-a7e9-35e767cb3052 · outbound

This paper cites Seqtrack: Sequence to sequence learning for vi- sual object tracking.

Progressive Scaling Visual Object Tracking Seqtrack: Sequence to sequence learning for vi- sual object tracking

Reference 14

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Observation 78620551-f482-4e15-877d-f41107e07b0e · outbound

This paper cites Siamese box adaptive network for visual tracking.

Progressive Scaling Visual Object Tracking Siamese box adaptive network for visual tracking

Reference 15

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Observation e5bddf16-675f-42bd-a6a1-d04291b8d73d · outbound

This paper cites Reproducible scaling laws for contrastive language-image learning.

Progressive Scaling Visual Object Tracking Reproducible scaling laws for contrastive language-image learning

Reference 16

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Observation 73975dcd-ae63-4411-8293-7b88be74023d · outbound

This paper cites Mixformer: End-to-end tracking with iterative mixed atten- tion.

Progressive Scaling Visual Object Tracking Mixformer: End-to-end tracking with iterative mixed atten- tion

Reference 17

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Observation c55e1cdb-79a1-48f1-9990-f69ced688fc8 · outbound

This paper cites Sportsmot: A large multi-object tracking dataset in multiple sports scenes.

Progressive Scaling Visual Object Tracking Sportsmot: A large multi-object tracking dataset in multiple sports scenes

Reference 18

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Observation ed58ac3a-73dd-4615-8484-8526574bc4e4 · outbound

This paper cites Mixformerv2: Efficient fully transformer tracking.Ad- vances in Neural Information Processing Systems, 36,.

Progressive Scaling Visual Object Tracking Mixformerv2: Efficient fully transformer tracking.Ad- vances in Neural Information Processing Systems, 36,

Reference 19

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Observation 828ed16f-3cdc-4a28-8c73-fe5ef0a63682 · outbound

This paper cites High-performance long- term tracking with meta-updater.

Progressive Scaling Visual Object Tracking High-performance long- term tracking with meta-updater

Reference 20

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Observation d6b075ac-a197-43cd-aa7d-bec7e95d1bba · outbound

This paper cites Atom: Accurate tracking by overlap maximization.

Progressive Scaling Visual Object Tracking Atom: Accurate tracking by overlap maximization

Reference 21

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Observation 13def0ab-151d-4a2f-b5d0-838ca3d1b0c5 · outbound

This paper cites Scaling vision transformers to 22 billion pa- rameters.

Progressive Scaling Visual Object Tracking Scaling vision transformers to 22 billion pa- rameters

Reference 22

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Observation fb07304c-61c7-4a05-81e3-b8440489d16c · outbound

This paper cites MOT20: A benchmark for multi object tracking in crowded scenes.

Progressive Scaling Visual Object Tracking MOT20: A benchmark for multi object tracking in crowded scenes

Reference 23

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Observation 7b4bcecd-2b5d-4e3f-a612-7e12e67ed092 · outbound

This paper cites Motchallenge: A benchmark for single- camera multiple target tracking.International Journal of Computer Vision, 129:845–881, 2021.

Progressive Scaling Visual Object Tracking Motchallenge: A benchmark for single- camera multiple target tracking.International Journal of Computer Vision, 129:845–881, 2021

Reference 24

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Observation f37dddb6-f352-4493-bd69-e456f5a3c4a5 · outbound

This paper cites Mose: A new dataset for video object segmentation in complex scenes.

Progressive Scaling Visual Object Tracking Mose: A new dataset for video object segmentation in complex scenes

Reference 25

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Observation b17745da-39e5-40f1-960f-88236e737404 · outbound

This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.

Progressive Scaling Visual Object Tracking An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 26

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Observation 1f0e7ccf-6ad9-4a62-a1bb-3148bc3869a1 · outbound

This paper cites The unmanned aerial vehicle benchmark: Ob- ject detection and tracking.

Progressive Scaling Visual Object Tracking The unmanned aerial vehicle benchmark: Ob- ject detection and tracking

Reference 27

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Observation 3fa62bd5-7f55-4de5-b289-1ac1368906f4 · outbound

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

Progressive Scaling Visual Object Tracking Lasot: A high-quality benchmark for large-scale single ob- ject tracking

Reference 28

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Observation 39aabe07-19c8-4993-8cc7-4629f148d016 · outbound

This paper cites Data determines distributional robustness in contrastive lan- guage image pre-training (clip).

Progressive Scaling Visual Object Tracking Data determines distributional robustness in contrastive lan- guage image pre-training (clip)

Reference 29

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Observation e1f29e1b-1d99-4539-ab8e-1bd3c5a34a20 · outbound

This paper cites InstructSeq: Unifying Vision Tasks with Instruction-conditioned Multi-modal Sequence Generation.

Progressive Scaling Visual Object Tracking InstructSeq: Unifying Vision Tasks with Instruction-conditioned Multi-modal Sequence Generation

Reference 30

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Observation 463ce8bb-58c2-4e39-970e-adcaf90e2ffe · outbound

This paper cites Gener- alized relation modeling for transformer tracking.

Progressive Scaling Visual Object Tracking Gener- alized relation modeling for transformer tracking

Reference 31

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Observation 5880ff38-302d-471a-a60d-699ebc55da1f · outbound

This paper cites Are we ready for autonomous driving? the kitti vision benchmark suite.

Progressive Scaling Visual Object Tracking Are we ready for autonomous driving? the kitti vision benchmark suite

Reference 32

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Observation 1ace0fba-e6e9-4e6b-b5f3-ae181f8d3c4b · outbound

This paper cites Separable self and mixed attention transformers for efficient object track- ing.

Progressive Scaling Visual Object Tracking Separable self and mixed attention transformers for efficient object track- ing

Reference 33

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Observation 69491299-1226-48a1-af28-76e63a5ec0a2 · outbound

This paper cites High-speed tracking with kernelized correlation filters.IEEE transactions on pattern analysis and machine intelligence, 37(3):583–596, 2014.

Progressive Scaling Visual Object Tracking High-speed tracking with kernelized correlation filters.IEEE transactions on pattern analysis and machine intelligence, 37(3):583–596, 2014

Reference 34

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Observation 66be9cc3-e7fd-4dd5-8e72-e99dd2e25253 · outbound

This paper cites Deep Learning Scaling is Predictable, Empirically.

Progressive Scaling Visual Object Tracking Deep Learning Scaling is Predictable, Empirically

Reference 35

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Observation f1020365-bcba-4fcf-a0c4-d6101b8a283c · outbound

This paper cites Training Compute-Optimal Large Language Models.

Progressive Scaling Visual Object Tracking Training Compute-Optimal Large Language Models

Reference 36

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Observation 1ec78105-c4c0-4cd0-843f-4b62eb2acb1b · outbound

This paper cites WorldSense: Evaluating Real-world Omnimodal Understanding for Multimodal LLMs.

Progressive Scaling Visual Object Tracking WorldSense: Evaluating Real-world Omnimodal Understanding for Multimodal LLMs

Reference 37

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Observation 47caee20-2549-495e-9791-e205cde956ec · outbound

This paper cites General Compression Framework for Efficient Transformer Object Tracking.

Progressive Scaling Visual Object Tracking General Compression Framework for Efficient Transformer Object Tracking

Reference 38

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no resolver link, observed 2026-08-07T14:11:08.722019Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:11:08.722019Z digest=sha256:2e3058602ff015254e217a23437187114d8e4dcf55ac514ce795a68fadc7f2c1

Observation 99a4104d-73c1-473a-9175-7061c8e5b8a7 · outbound

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

Progressive Scaling Visual Object Tracking Onetracker: Unifying visual object tracking with foundation models and efficient tuning

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:11:26.994050Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-07T14:11:08.796852Z digest=sha256:fd2d01e08996d48ca67c5e626dc3afeabe031b5690608e235d8c8bf675eafcc0

Observation 2b0b0e74-f144-49ce-a464-8acc58e4c7e5 · outbound

This paper cites Global instance tracking: Locating target more like hu- mans.IEEE Transactions on Pattern Analysis and Machine Intelligence, 45(1):576–592, 2022.

Progressive Scaling Visual Object Tracking Global instance tracking: Locating target more like hu- mans.IEEE Transactions on Pattern Analysis and Machine Intelligence, 45(1):576–592, 2022

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:11:26.835598Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-07T14:11:08.843394Z digest=sha256:9eed9c471cecfc41f1f1a8f259e72668408c118c0324378cb72a6d9bc77447e9

Observation fac914fa-d0d4-4ad5-9034-3319b0b77551 · outbound

This paper cites Got-10k: A large high-diversity benchmark for generic object track- ing in the wild.IEEE transactions on pattern analysis and machine intelligence, 43(5):1562–1577, 2019.

Progressive Scaling Visual Object Tracking Got-10k: A large high-diversity benchmark for generic object track- ing in the wild.IEEE transactions on pattern analysis and machine intelligence, 43(5):1562–1577, 2019

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:11:26.718740Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-07T14:11:08.886428Z digest=sha256:5ca59295dad0a6bcb9d8aea92a8c2834a96f8b3d66b778ea78b725d2acf4fb07

Observation b5e034d3-d5fd-4746-a1cd-fcbd94eb42eb · outbound

This paper cites Automatic foveation for video compression us- ing a neurobiological model of visual attention.IEEE trans- actions on image processing, 13(10):1304–1318, 2004.

Progressive Scaling Visual Object Tracking Automatic foveation for video compression us- ing a neurobiological model of visual attention.IEEE trans- actions on image processing, 13(10):1304–1318, 2004

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:11:26.592445Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-07T14:11:08.937316Z digest=sha256:fb59dc894d1a79e872859315c5115f2a7d6eb3b61b909cde48474f08f5ff0a05

Observation f4febe26-9316-4bcf-b31e-03cca17cfc57 · outbound

This paper cites Scaling up visual and vision-language representation learning with noisy text supervision.

Progressive Scaling Visual Object Tracking Scaling up visual and vision-language representation learning with noisy text supervision

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:11:26.486789Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-07T14:11:08.983535Z digest=sha256:c66f635da02b46a5ffd7901d736ad58fe0d88bc9922e3dba5a0d1b4aae306cde

Observation ca0d12e8-a484-4a23-9ffe-55126cf7b70f · outbound

This paper cites Exploring lightweight hierarchical vision transformers for efficient visual tracking.

Progressive Scaling Visual Object Tracking Exploring lightweight hierarchical vision transformers for efficient visual tracking

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:11:26.329962Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-07T14:11:09.039466Z digest=sha256:ec0d932b89d51d65f5b5545f1f4e5ce9c2ff45779ba727ad171307dddb7f5d86

Observation 388594c3-ce0b-45fd-acc6-c1d918cc4409 · outbound

This paper cites Scaling Laws for Neural Language Models.

Progressive Scaling Visual Object Tracking Scaling Laws for Neural Language Models

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-07T14:11:09.098348Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:11:09.098348Z digest=sha256:706ed2dedd6d2e150b863221a31986fab9ae3ca96e4a772e067cb6a04d4836d0

Observation 7a5896fd-6ce1-4d4d-994d-f5af05601251 · outbound

This paper cites Big transfer (bit): General visual representation learning.

Progressive Scaling Visual Object Tracking Big transfer (bit): General visual representation learning

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:11:26.199747Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-07T14:11:09.143091Z digest=sha256:20ff2d6b916f0fdd77550ac46728ef501ea9280228acc85203ccb67461a8ffc2

Observation a8422727-7309-4d8c-af1b-1c51e224e583 · outbound

This paper cites High performance visual tracking with siamese region pro- posal network.

Progressive Scaling Visual Object Tracking High performance visual tracking with siamese region pro- posal network

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-07T14:11:09.215204Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:11:09.215204Z digest=sha256:3180472eafb004443081b87e8d74ee7508de31158a2fa1cd66acfaa50ebabd77

Observation 1de2b632-910a-44b8-b048-7232cf44bfd4 · outbound

This paper cites Siamrpn++: Evolution of siamese vi- sual tracking with very deep networks.

Progressive Scaling Visual Object Tracking Siamrpn++: Evolution of siamese vi- sual tracking with very deep networks

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:11:25.457948Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-07T14:11:09.281106Z digest=sha256:f342ab19c506e8a018176073176108829d1b5cfae77d93937eb7041778b947b3

Observation 2ab73e29-2745-4420-b7be-6cd9c38b8cda · outbound

This paper cites Lasher: A large-scale high-diversity benchmark for RGBT tracking.IEEE Trans- actions on Image Processing, 31:392–404, 2021.

Progressive Scaling Visual Object Tracking Lasher: A large-scale high-diversity benchmark for RGBT tracking.IEEE Trans- actions on Image Processing, 31:392–404, 2021

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:11:22.975617Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-07T14:11:09.324431Z digest=sha256:3454e89c071b8f9e1889ab352ca7e63c1f9c213ebbd28f2212cb4b446901417e

Observation 581a6ceb-97a1-49f4-a78f-96f42e459432 · outbound

This paper cites Tracking meets lora: Faster training, larger model, stronger performance.

Progressive Scaling Visual Object Tracking Tracking meets lora: Faster training, larger model, stronger performance

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:11:22.221739Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-07T14:11:09.365264Z digest=sha256:b140937c81fc02098d7ea1070b3e4201f71d2381343229b27abe78ee4560ddcd

Observation 9972f88c-c76e-4bd1-86ce-ec799893529c · outbound

This paper cites Microsoft coco: Common objects in context.

Progressive Scaling Visual Object Tracking Microsoft coco: Common objects in context

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:11:22.063708Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-07T14:11:09.389735Z digest=sha256:151213dfe50c2b9628b4c115c65a6ef383e93ec5b83b3e2e93db06af8b2066e5

Observation 6ad1204f-04b0-4268-bae1-4bf0d17431e3 · outbound

This paper cites Towards Neural Scaling Laws on Graphs.

Progressive Scaling Visual Object Tracking Towards Neural Scaling Laws on Graphs

Reference 52

Resolution
unresolved
no resolver link, observed 2026-08-07T14:11:09.438355Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:11:09.438355Z digest=sha256:6b308fa9a213e1efea415c655759e28f71bb2625d6b6d845b9958b95675805b2

Observation e81e1570-30a4-4f3c-84e8-668d2b27ba6a · outbound

This paper cites Decoupled Weight Decay Regularization.

Progressive Scaling Visual Object Tracking Decoupled Weight Decay Regularization

Reference 53

Resolution
unresolved
no resolver link, observed 2026-08-07T14:11:09.535348Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:11:09.535348Z digest=sha256:671600d971c398381af9b2560a4ba1430eb822d51e43c7411da3b154f3cf7d4b

Observation 008b2fb9-ad13-4f06-bd4a-2096d909047c · outbound

This paper cites EE-MLLM: A Data-Efficient and Compute-Efficient Multimodal Large Language Model.

Progressive Scaling Visual Object Tracking EE-MLLM: A Data-Efficient and Compute-Efficient Multimodal Large Language Model

Reference 54

Resolution
unresolved
no resolver link, observed 2026-08-07T14:11:09.592996Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:11:09.592996Z digest=sha256:72d83b3279ced8ae7daee0a412d2b74ff51acb55c338479fc2defce6f3e0c571

Observation 0a50eaea-c597-4f47-945a-712fd0fb5a8d · outbound

This paper cites Be- yond sot: Tracking multiple generic objects at once.

Progressive Scaling Visual Object Tracking Be- yond sot: Tracking multiple generic objects at once

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:11:21.889954Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-07T14:11:09.657828Z digest=sha256:d04277796b8416126442347094ce36019e38557e8a3d81656d6da65d8c8bde3a

Observation 8b0543d0-4feb-4d10-9dc4-09564cd5b4c7 · outbound

This paper cites MOT16: A Benchmark for Multi-Object Tracking.

Progressive Scaling Visual Object Tracking MOT16: A Benchmark for Multi-Object Tracking

Reference 56

Resolution
unresolved
no resolver link, observed 2026-08-07T14:11:09.753966Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:11:09.753966Z digest=sha256:c805f99c4eaf3ad551773c14a275120cb0edf833061e1a3ad90a4a40b72bb70c

Observation 25982780-d3af-4014-b664-dbbb811fc100 · outbound

This paper cites Scaling open-vocabulary object detection.Advances in Neural Information Processing Systems, 36, 2024.

Progressive Scaling Visual Object Tracking Scaling open-vocabulary object detection.Advances in Neural Information Processing Systems, 36, 2024

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:11:21.750740Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-07T14:11:09.811009Z digest=sha256:6d4e392df34ea881d020c95739136479ac4a956ac2dec282160111ed71f2ea72

Observation 3809393e-ff96-415e-9f6b-6805f533df05 · outbound

This paper cites A benchmark and simulator for uav tracking.

Progressive Scaling Visual Object Tracking A benchmark and simulator for uav tracking

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:11:21.591079Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-07T14:11:09.854510Z digest=sha256:4f49bcc3daecbfe7ac613409eab84e6366ed1eaa7c4d580021362a86b5a5daf3

Observation 582ce037-bb9f-4bf9-87c3-4428f3280a54 · outbound

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

Progressive Scaling Visual Object Tracking Trackingnet: A large-scale dataset and benchmark for object tracking in the wild

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:11:21.460727Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-07T14:11:09.946386Z digest=sha256:cd35430e9b69a6b5f092a8169bf930ab0e506d9693ae9d6fe07c1d638a7cd7dc

Observation 3a890487-6c62-44a3-ac54-946f30bdb9b6 · outbound

This paper cites Learning multi- domain convolutional neural networks for visual tracking.

Progressive Scaling Visual Object Tracking Learning multi- domain convolutional neural networks for visual tracking

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:11:21.298148Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-07T14:11:10.018907Z digest=sha256:53649ae536c65b5db7f0c5750c78601e1bf81cfd6cd15f1dc9adbbebbd333ea2

Observation b9a31104-6462-43b8-9139-e377714e8f41 · outbound

This paper cites AVisT: A Benchmark for Visual Object Tracking in Adverse Visibility.

Progressive Scaling Visual Object Tracking AVisT: A Benchmark for Visual Object Tracking in Adverse Visibility

Reference 61

Resolution
verified exact
local_arxiv, observed 2026-08-07T14:11:16.732957Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-07T14:11:10.105328Z digest=sha256:1a6b2d28f1cf3791b6e69be801dd3dadd123dafaa9c248c81c48298db4299a47

Observation 820c7a6c-6bf4-49c3-8c1c-d08e7c4c1f41 · outbound

This paper cites Combined scal- ing for zero-shot transfer learning.Neurocomputing, 555: 126658, 2023.

Progressive Scaling Visual Object Tracking Combined scal- ing for zero-shot transfer learning.Neurocomputing, 555: 126658, 2023

Reference 62

Resolution
unresolved
no resolver link, observed 2026-08-07T14:11:10.204342Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:11:10.204342Z digest=sha256:f12aadd9b6f6be233085b1b6b20e56ce9f9d31297f6007c4c49094bb2272f674

Observation d8104714-1b02-484f-b5b5-6384f289b449 · outbound

This paper cites Occluded video instance segmentation: A benchmark.International Journal of Computer Vision, 130 (8):2022–2039, 2022.

Progressive Scaling Visual Object Tracking Occluded video instance segmentation: A benchmark.International Journal of Computer Vision, 130 (8):2022–2039, 2022

Reference 63

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:11:21.116546Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-07T14:11:10.323451Z digest=sha256:768e87b592a2bde47f09e9bd910906f340c12a7b63076c9ae57b8b4321884044

Observation 7d656761-af20-4509-af35-642ee983bdf1 · outbound

This paper cites Learn- ing transferable visual models from natural language super- vision.

Progressive Scaling Visual Object Tracking Learn- ing transferable visual models from natural language super- vision

Reference 64

Resolution
unresolved
no resolver link, observed 2026-08-07T14:11:10.462504Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:11:10.462504Z digest=sha256:12d66e68adb8c6c3ca2c8c7ffe2e771e209b84a3871cfe51672ddc47ad118fa4

Observation 250477b0-ced0-4fc4-89ee-bb40a79f47b2 · outbound

This paper cites Hierarchical Text-Conditional Image Generation with CLIP Latents.

Progressive Scaling Visual Object Tracking Hierarchical Text-Conditional Image Generation with CLIP Latents

Reference 65

Resolution
unresolved
no resolver link, observed 2026-08-07T14:11:10.538543Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:11:10.538543Z digest=sha256:6266199216fc878d46863225b848c362670802ff4e3d28e0e2b185e1a384b187

Observation 67acdf1f-c9b4-48b8-904e-2ac3ee8142ca · outbound

This paper cites Scaling vision with sparse mix- ture of experts.Advances in Neural Information Processing Systems, 34:8583–8595, 2021.

Progressive Scaling Visual Object Tracking Scaling vision with sparse mix- ture of experts.Advances in Neural Information Processing Systems, 34:8583–8595, 2021

Reference 66

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:11:20.982040Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-07T14:11:10.650455Z digest=sha256:6ad1ff88201150c64c565f034cb02324c798f5df0327454e6f051c5a3f8d73ab

Observation 833b0817-3c99-458a-b9b4-74c64dfa6a58 · outbound

This paper cites High-resolution image synthesis with latent diffusion models.

Progressive Scaling Visual Object Tracking High-resolution image synthesis with latent diffusion models

Reference 67

Resolution
unresolved
no resolver link, observed 2026-08-07T14:11:10.730778Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:11:10.730778Z digest=sha256:9aed3e1be21cb002f63775990f94d1b46bd6810febe2b0d6fe4825c651ed1bdb

Observation 351099dd-0616-4ff4-b9b6-75a3dfb30acd · outbound

This paper cites Hoot: Heavy occlusions in object tracking benchmark.

Progressive Scaling Visual Object Tracking Hoot: Heavy occlusions in object tracking benchmark

Reference 68

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:11:20.835727Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-07T14:11:10.881836Z digest=sha256:174aa8e807c3593e648d5eb231d1041e7276f1492429fd10bb21dbbfbae53d4b

Observation 7e24302c-080a-4a48-8037-34dcb7315ee6 · outbound

This paper cites Revisiting unreasonable effectiveness of data in deep learning era.

Progressive Scaling Visual Object Tracking Revisiting unreasonable effectiveness of data in deep learning era

Reference 69

Resolution
unresolved
no resolver link, observed 2026-08-07T14:11:10.954145Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:11:10.954145Z digest=sha256:e2e1a84c8856aa186001dad8a09e9395322dd4b31fbbf2c843ec45cc251d9e4e

Observation dd4e06d8-03c6-4169-a8a2-451fc002c34c · outbound

This paper cites Dancetrack: Multi-object track- ing in uniform appearance and diverse motion.

Progressive Scaling Visual Object Tracking Dancetrack: Multi-object track- ing in uniform appearance and diverse motion

Reference 70

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:11:20.672675Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-07T14:11:11.067310Z digest=sha256:6a199af4d7abdd2029e34393b5dbc7b7fdadca6fbf18f70d61be3993918d21ff

Observation 61d5f9ca-7202-40c5-8fdd-4c14bb08c6b2 · outbound

This paper cites Scale Efficiently: Insights from Pre-training and Fine-tuning Transformers.

Progressive Scaling Visual Object Tracking Scale Efficiently: Insights from Pre-training and Fine-tuning Transformers

Reference 71

Resolution
unresolved
no resolver link, observed 2026-08-07T14:11:11.182755Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:11:11.182755Z digest=sha256:9fa7fd8d8583ade6f7746084cf8e094a95077d16aadfaa5aa4963086ab109e1c

Observation 04ee4c0c-f4bc-465b-a931-57df3a702f89 · outbound

This paper cites Robust and ef- ficient foreground analysis for real-time video surveillance.

Progressive Scaling Visual Object Tracking Robust and ef- ficient foreground analysis for real-time video surveillance

Reference 72

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:11:20.514123Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-07T14:11:11.312057Z digest=sha256:c82c0f6d43885318ab1f3e3690e200077b38f72a97122353d54d7b8689fccbe3

Observation beba9e49-fc01-4502-b104-362ddd37f498 · outbound

This paper cites LLaMA: Open and Efficient Foundation Language Models.

Progressive Scaling Visual Object Tracking LLaMA: Open and Efficient Foundation Language Models

Reference 73

Resolution
unresolved
no resolver link, observed 2026-08-07T14:11:11.428186Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:11:11.428186Z digest=sha256:fc1aa872c4efaf7a20e4ec2743930511cfeeb442eba2e1b4cd30d8f352535f1c

Observation 028d4226-7067-4f4b-84f1-3591e4b933ca · outbound

This paper cites Image captioners are scalable vision learners too.Advances in Neural Infor- mation Processing Systems, 36, 2024.

Progressive Scaling Visual Object Tracking Image captioners are scalable vision learners too.Advances in Neural Infor- mation Processing Systems, 36, 2024

Reference 74

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:11:20.319634Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-07T14:11:11.528673Z digest=sha256:0f04d96f4cd113692028b22fd1902df57cbf86489d0dc57cf054659be6d0d7a4

Observation a6fa363b-2751-4629-8a16-1f008a343d4b · outbound

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

Progressive Scaling Visual Object Tracking Siam r-cnn: Visual tracking by re-detection

Reference 75

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:11:20.162266Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-07T14:11:11.670796Z digest=sha256:19bfb6f79df87aa36e8cea1dd0e4141eb03b861b272b36549fe2e0e371696508

Observation 5db176de-e473-4904-b05c-fc2ce3ab9c32 · outbound

This paper cites Unidentified video objects: A benchmark for dense, open- world segmentation.

Progressive Scaling Visual Object Tracking Unidentified video objects: A benchmark for dense, open- world segmentation

Reference 76

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:11:20.009861Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-07T14:11:11.811255Z digest=sha256:00cefa1db832d41da9e6a62c90b55b806dee378b82354f66e18f0b3cfdd14d32

Observation a2341e73-f97f-4bd6-aade-16a9cdea6a61 · outbound

This paper cites VisEvent: Reliable Object Tracking via Collaboration of Frame and Event Flows.

Progressive Scaling Visual Object Tracking VisEvent: Reliable Object Tracking via Collaboration of Frame and Event Flows

Reference 77

Resolution
unresolved
no resolver link, observed 2026-08-07T14:11:11.960802Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:11:11.960802Z digest=sha256:e6c6994d5b12beb20d842e557558a9cd7355cad7fc4f49bbeab7799ae0653d8d

Observation d6ca3a14-467f-4b50-a6a6-cec5e6550884 · outbound

This paper cites Towards more flexi- ble and accurate object tracking with natural language: Al- gorithms and benchmark.

Progressive Scaling Visual Object Tracking Towards more flexi- ble and accurate object tracking with natural language: Al- gorithms and benchmark

Reference 78

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:11:19.841374Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-07T14:11:12.120700Z digest=sha256:34bfbc59e1da5f78b9fa63117cc43c216a4a07d22dca9d9e06f3228f1fe97a1d

Observation 89991292-e120-4337-90ba-638a77bb50c4 · outbound

This paper cites Autoregressive visual tracking.

Progressive Scaling Visual Object Tracking Autoregressive visual tracking

Reference 79

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:11:19.659956Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-07T14:11:12.216817Z digest=sha256:bd6e19f829f35c15f93c7a7913685a566dd8bbcdda51349e6c289a6d7328f564

Observation 1aeb69b1-99c8-4d26-b969-a360435423ab · outbound

This paper cites Online ob- ject tracking: A benchmark.

Progressive Scaling Visual Object Tracking Online ob- ject tracking: A benchmark

Reference 80

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:11:19.484663Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-07T14:11:12.354364Z digest=sha256:36669956c0adacd667192a5638f0994d68f0af3ae019439792c2fd38b63e1e06

Observation b5d00a26-edf3-462e-a609-01423de1939e · outbound

This paper cites AnyGraph: Graph Foundation Model in the Wild.

Progressive Scaling Visual Object Tracking AnyGraph: Graph Foundation Model in the Wild

Reference 81

Resolution
unresolved
no resolver link, observed 2026-08-07T14:11:12.458637Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:11:12.458637Z digest=sha256:8e826a23fe4bf63681b6446bc3e2f5b52b8026c415c688a3aaa80badae9f7654

Observation 5ff27371-0898-4021-810d-4951296920fc · outbound

This paper cites Attribute-based progressive fusion network for RGBT tracking.

Progressive Scaling Visual Object Tracking Attribute-based progressive fusion network for RGBT tracking

Reference 82

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:11:19.317940Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-07T14:11:12.574632Z digest=sha256:3d9cdebaae24bce1e0f22bd4a0f471a3f1c506bfc0a6d80c157772b5475d3f94

Observation dc880ee5-80cb-4f2b-94a3-4dd6e096e861 · outbound

This paper cites DynaPrompt: Dynamic Test-Time Prompt Tuning.

Progressive Scaling Visual Object Tracking DynaPrompt: Dynamic Test-Time Prompt Tuning

Reference 83

Resolution
unresolved
no resolver link, observed 2026-08-07T14:11:12.691354Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:11:12.691354Z digest=sha256:59b67d6bb3a7f9cec9e2bf50025668152c66e995d5fcced5f3a2b3974b7571ff

Observation 41e4dccc-e382-4997-9bd6-477808365a31 · outbound

This paper cites On data scaling in masked image modeling.

Progressive Scaling Visual Object Tracking On data scaling in masked image modeling

Reference 84

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:11:19.164676Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-07T14:11:12.806476Z digest=sha256:e101d8ec3645f26c11169ca19c93bb9e5e709db6787d872eff05185d422ded6e

Observation f48876ef-0884-458a-b7fe-f1bf83b4f35a · outbound

This paper cites Multi- ple human tracking based on multi-view upper-body de- tection and discriminative learning.

Progressive Scaling Visual Object Tracking Multi- ple human tracking based on multi-view upper-body de- tection and discriminative learning

Reference 85

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:11:19.027097Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-07T14:11:12.956635Z digest=sha256:7d62fad8da15d9febabe97e23bf9bb849e11db37cc8c64eb831a7e6ff2b65f09

Observation 8ff38503-aaf1-4417-ae37-7975eeb39966 · outbound

This paper cites Learning spatio-temporal transformer for vi- sual tracking.

Progressive Scaling Visual Object Tracking Learning spatio-temporal transformer for vi- sual tracking

Reference 86

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:11:18.869743Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-07T14:11:13.041797Z digest=sha256:a9c7eb9835a84a03e4af0cfdc08a61bfbc56d4a8c89341a13733feb1c441156f

Observation 30394d7d-6492-4c32-bda4-09fb85670623 · outbound

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

Progressive Scaling Visual Object Tracking Depthtrack: Un- veiling the power of RGBD tracking

Reference 87

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:11:18.732897Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-07T14:11:13.126007Z digest=sha256:c56f7d3319fcbcfe430c3f68c2e8c5b012c6782c789f35a3a108c19d4c062004

Observation 31830219-47b8-4dab-b1ac-630953df496f · outbound

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

Progressive Scaling Visual Object Tracking Depthtrack: Un- veiling the power of rgbd tracking

Reference 88

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:11:18.581390Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-07T14:11:13.215773Z digest=sha256:b07fc98547aa72950dfdd216d2eb5564e22b4f7b63d8f0d4a472d73826363dd8

Observation c7fb0d3d-5705-4dfe-ac00-9f7ef9b4cb84 · outbound

This paper cites A Sanity Check for AI-generated Image Detection.

Progressive Scaling Visual Object Tracking A Sanity Check for AI-generated Image Detection

Reference 89

Resolution
unresolved
no resolver link, observed 2026-08-07T14:11:13.416233Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:11:13.416233Z digest=sha256:b70c8af01fa38d00014a9824232093a902e5f477badcc0cbbbc716471cdd6e04

Observation 30519972-212d-4ded-b247-c0a446c5df05 · outbound

This paper cites Panovos: Bridging non-panoramic and panoramic views with trans- former for video segmentation.

Progressive Scaling Visual Object Tracking Panovos: Bridging non-panoramic and panoramic views with trans- former for video segmentation

Reference 90

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:11:18.391038Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-07T14:11:13.601820Z digest=sha256:925fc83cfc343477fb1a9c913397f812f30683b3442fbee4897fcb9bedb48168

Observation 45c86d4c-d730-48bd-b1c3-9f836b8df932 · outbound

This paper cites Referred by multi-modality: A unified tem- poral transformer for video object segmentation.

Progressive Scaling Visual Object Tracking Referred by multi-modality: A unified tem- poral transformer for video object segmentation

Reference 91

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:11:18.239241Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-07T14:11:13.726872Z digest=sha256:c5877ae1039d24cf23091434204b6ec106bcc3a915f6b612833d0979cab1e5e2

Observation 4a0582bd-6854-4368-9832-49a679522113 · outbound

This paper cites Crosslmm: Decoupling long video sequences from lmms via dual cross-attention mechanisms.arXiv preprint arXiv:2505.17020, 2025.

Progressive Scaling Visual Object Tracking Crosslmm: Decoupling long video sequences from lmms via dual cross-attention mechanisms.arXiv preprint arXiv:2505.17020, 2025

Reference 92

Resolution
unresolved
no resolver link, observed 2026-08-07T14:11:13.877323Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:11:13.877323Z digest=sha256:ad9fff8b411640aa7f65f66550c215532eed425cba2652489ae22f6aa7c63ac5

Observation 75c35112-90a3-4fa0-8d4c-4451f91033f1 · outbound

This paper cites Prompting for multi-modal tracking.

Progressive Scaling Visual Object Tracking Prompting for multi-modal tracking

Reference 93

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:11:18.123367Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-07T14:11:14.048167Z digest=sha256:52c27fc064b152c6b1c25699a71b12030bb708dfb054a595f0f75af467a2297b

Observation 299446c9-7081-4843-934a-abec4bb631ae · outbound

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

Progressive Scaling Visual Object Tracking Joint feature learning and relation modeling for tracking: A one-stream framework

Reference 94

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:11:17.980467Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-07T14:11:14.193531Z digest=sha256:123235a29b888aa6407a3d2af1b346997567d55127fc9b07ddb55d6b61847543

Observation 81ed8623-a944-4ff3-83d6-d8f8973908be · outbound

This paper cites CoCa: Contrastive Captioners are Image-Text Foundation Models.

Progressive Scaling Visual Object Tracking CoCa: Contrastive Captioners are Image-Text Foundation Models

Reference 95

Resolution
unresolved
no resolver link, observed 2026-08-07T14:11:14.323400Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:11:14.323400Z digest=sha256:2eb339f5cd880de6678c4803ef1ad2c4eb0a136d851d60db861910b99272b0d7

Observation b4bfb68e-5c40-47ab-b39a-af0d8bc56c05 · outbound

This paper cites Scaling vision transformers.

Progressive Scaling Visual Object Tracking Scaling vision transformers

Reference 96

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:11:17.847892Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-07T14:11:14.461770Z digest=sha256:9af1c0f268521202c2147fe878171347b92480f5f80ccbfce7e4c36e7c7a48f3

Observation 8dc40d3c-e89a-4740-9ab4-fb2c3f51062b · outbound

This paper cites Instance- level segmentation for autonomous driving with deep densely connected mrfs.

Progressive Scaling Visual Object Tracking Instance- level segmentation for autonomous driving with deep densely connected mrfs

Reference 97

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:11:17.707588Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-07T14:11:14.589844Z digest=sha256:47edbcc3e4f80bfc934cd28345ff5c1e1eaaab87d0c3f00ac874a164f9f7a31f

Observation 20975c95-2d98-461f-b3b7-9ace2f27d3a8 · outbound

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

Progressive Scaling Visual Object Tracking Ocean: Object-aware anchor-free tracking

Reference 98

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:11:17.576605Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-07T14:11:14.781227Z digest=sha256:41fcf59673078c71baf05022e0f74139d64bf728ecba1c33b071415dc954682c

Observation b645f6a8-82c4-4e98-a902-ca526d8c78ce · outbound

This paper cites Reading rele- vant feature from global representation memory for visual object tracking.Advances in Neural Information Process- ing Systems, 36:10814–10827, 2023.

Progressive Scaling Visual Object Tracking Reading rele- vant feature from global representation memory for visual object tracking.Advances in Neural Information Process- ing Systems, 36:10814–10827, 2023

Reference 99

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:11:17.431236Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-07T14:11:14.974228Z digest=sha256:38cf7839ea88be941426ce397b950cb2774197ce70ec747932d163a56597127b

Observation 1a8f47a5-92dd-4196-baa0-52bace9ec2c0 · outbound

This paper cites DeTrack: In-model Latent Denoising Learning for Visual Object Tracking.

Progressive Scaling Visual Object Tracking DeTrack: In-model Latent Denoising Learning for Visual Object Tracking

Reference 100

Resolution
unresolved
no resolver link, observed 2026-08-07T14:11:15.127792Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:11:15.127792Z digest=sha256:a2495b4237da10f97d2da94a4936e62d574634d9339652160a77d756b06c2955

Pith citing papers

No inbound Pith citation observations are available.