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Paper Citation Record · LEDGER

GoStop: Reinforcement Learning for Adaptive Temporal Aggregation in Event-Based Feature Tracking

As of 9 August 2026, this Paper Citation Record lists 100 of 130 outbound references and 0 inbound Pith citation observations for arXiv:2607.15699.

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

pith.paper-citation-record.v1
2607.15699 v1

Coverage vector

measured 100 of 130 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-01T22:37:55.212998Z

measured 100 of 100 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

100 of 130 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved100
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 5ec27136-a547-42e7-a008-4a3dd3f8891c · outbound

This paper cites 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) , pages=.

GoStop: Reinforcement Learning for Adaptive Temporal Aggregation in Event-Based Feature Tracking 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) , pages=

Reference 1

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no resolver link, observed 2026-08-01T22:37:42.940948Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T22:37:42.940948Z digest=sha256:f3f8f07827dab047837094a42317686b83a1134d859421242ccf1ce1c805826a

Observation ac591e66-582d-431e-a71c-f46d10c550a1 · outbound

This paper cites 2017 IEEE International Conference on Robotics and Automation (ICRA) , pages=.

GoStop: Reinforcement Learning for Adaptive Temporal Aggregation in Event-Based Feature Tracking 2017 IEEE International Conference on Robotics and Automation (ICRA) , pages=

Reference 2

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no resolver link, observed 2026-08-01T22:37:43.012014Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T22:37:43.012014Z digest=sha256:ee1cbd6c0cee2dbf49a985caf2a8d6eded93d5e70e5cb8aaff685736abfdad83

Observation 3bcd5266-6555-4d8a-b4ff-81638a48902f · outbound

This paper cites Advances in Neural Information Processing Systems , volume=.

GoStop: Reinforcement Learning for Adaptive Temporal Aggregation in Event-Based Feature Tracking Advances in Neural Information Processing Systems , volume=

Reference 3

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no resolver link, observed 2026-08-01T22:37:43.120121Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T22:37:43.120121Z digest=sha256:f7fd2c78c7bc7d3c9fa5f589f156042e149533393e24b26800aa07efcdde4f56

Observation 9aec7f3b-359a-47a6-8b18-a6e848d3ddec · outbound

This paper cites 31st British Machine Vision Virtual Conference (BMVC 2020) , pages=.

GoStop: Reinforcement Learning for Adaptive Temporal Aggregation in Event-Based Feature Tracking 31st British Machine Vision Virtual Conference (BMVC 2020) , pages=

Reference 4

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no resolver link, observed 2026-08-01T22:37:43.260256Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T22:37:43.260256Z digest=sha256:9a42b30b118ed5b7285c66fba72749f9d7a2f263a8fe546c46137e0da6f36a2f

Observation f3a5cfc4-65e9-4f85-9268-bd1b5d36f16a · outbound

This paper cites Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition , pages=.

GoStop: Reinforcement Learning for Adaptive Temporal Aggregation in Event-Based Feature Tracking Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition , pages=

Reference 5

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no resolver link, observed 2026-08-01T22:37:43.349407Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T22:37:43.349407Z digest=sha256:350a8662703740c9a7090a8dba92437bcb7b599ef19d9bc131b342f2fbb6ac1a

Observation 0581c000-3ca8-4519-acba-a00d005b4546 · outbound

This paper cites Proceedings of the IEEE/CVF International Conference on Computer Vision , pages=.

GoStop: Reinforcement Learning for Adaptive Temporal Aggregation in Event-Based Feature Tracking Proceedings of the IEEE/CVF International Conference on Computer Vision , pages=

Reference 6

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no resolver link, observed 2026-08-01T22:37:43.540186Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T22:37:43.540186Z digest=sha256:126d7b703a0565bd87fb563fecd36a4219feb439a74969253efe02d661e040ad

Observation 3d61839f-90c5-4f8d-97f0-d700a221261e · outbound

This paper cites European conference on computer vision , pages=.

GoStop: Reinforcement Learning for Adaptive Temporal Aggregation in Event-Based Feature Tracking European conference on computer vision , pages=

Reference 7

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no resolver link, observed 2026-08-01T22:37:43.700699Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T22:37:43.700699Z digest=sha256:b9ed84596b8bf11840ed05a47079ea83c1a6bcb05eb900e6c6a1510ccbb1eaf7

Observation 4bfdc47f-884c-4bc7-b92c-1bf835498106 · outbound

This paper cites Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition , pages=.

GoStop: Reinforcement Learning for Adaptive Temporal Aggregation in Event-Based Feature Tracking Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition , pages=

Reference 8

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no resolver link, observed 2026-08-01T22:37:43.792814Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T22:37:43.792814Z digest=sha256:cba2e25a5cb7862276e792fc02de8240d9c251329a08f54543b5529336ef0073

Observation ad2657a6-5327-432d-a432-1c2ca91bae4b · outbound

This paper cites 2024 IEEE International Conference on Robotics and Automation (ICRA) , pages=.

GoStop: Reinforcement Learning for Adaptive Temporal Aggregation in Event-Based Feature Tracking 2024 IEEE International Conference on Robotics and Automation (ICRA) , pages=

Reference 9

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no resolver link, observed 2026-08-01T22:37:43.918193Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T22:37:43.918193Z digest=sha256:e3fcb25c04b83befb5f483b43ba4fce01cb2a35c5549ad4ba4a949291b56bfc5

Observation fc69624f-a325-48d5-92f6-c1184afc603c · outbound

This paper cites Advances in Neural Information Processing Systems , volume=.

GoStop: Reinforcement Learning for Adaptive Temporal Aggregation in Event-Based Feature Tracking Advances in Neural Information Processing Systems , volume=

Reference 10

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no resolver link, observed 2026-08-01T22:37:44.040699Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T22:37:44.040699Z digest=sha256:2426dfb57a4bf12e1cd9f8fe2ce43f15a655d1fd54c2183f7081a6d9399528f6

Observation 06470f14-6a82-4ad4-b989-5358805e5bf3 · outbound

This paper cites European Conference on Computer Vision , pages=.

GoStop: Reinforcement Learning for Adaptive Temporal Aggregation in Event-Based Feature Tracking European Conference on Computer Vision , pages=

Reference 11

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no resolver link, observed 2026-08-01T22:37:44.190669Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T22:37:44.190669Z digest=sha256:a3c392286414f58d2443dba14027c6ba69e66f7f1b3b2bcc66c756f3a3a2678d

Observation d481393c-ecff-4b45-9eea-3fe6a7231d4c · outbound

This paper cites IEEE transactions on pattern analysis and machine intelligence , volume=.

GoStop: Reinforcement Learning for Adaptive Temporal Aggregation in Event-Based Feature Tracking IEEE transactions on pattern analysis and machine intelligence , volume=

Reference 12

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no resolver link, observed 2026-08-01T22:37:44.375049Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T22:37:44.375049Z digest=sha256:8fd0debc35622411864d3698216d30373be43f0f6e71298ba0a583b2a9fde9ce

Observation 4fcb77ab-4575-429b-9ef1-5b0f42439e87 · outbound

This paper cites European conference on computer vision , pages=.

GoStop: Reinforcement Learning for Adaptive Temporal Aggregation in Event-Based Feature Tracking European conference on computer vision , pages=

Reference 13

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no resolver link, observed 2026-08-01T22:37:44.585842Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T22:37:44.585842Z digest=sha256:33c9da0cc751bc7096b2a9abebbbab51011ad52e0163ccd96dece8dfe965130d

Observation 48dab548-f274-4f30-9d94-d8c742c8ac3c · outbound

This paper cites Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition , pages=.

GoStop: Reinforcement Learning for Adaptive Temporal Aggregation in Event-Based Feature Tracking Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition , pages=

Reference 14

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no resolver link, observed 2026-08-01T22:37:44.742974Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T22:37:44.742974Z digest=sha256:dd99b84cdd4af50bf7eba3804c182e78f73abf9ceb86c2d8136a3160cb1569ff

Observation 9962f7c2-cc5e-415b-a94e-c12306f09cbe · outbound

This paper cites Proceedings of the European Conference on Computer Vision (ECCV) , pages=.

GoStop: Reinforcement Learning for Adaptive Temporal Aggregation in Event-Based Feature Tracking Proceedings of the European Conference on Computer Vision (ECCV) , pages=

Reference 15

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no resolver link, observed 2026-08-01T22:37:44.903380Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T22:37:44.903380Z digest=sha256:195c05f8bc37c37b33f74b771993a52edae703427052fdef019a44ef29470427

Observation 5d56e820-04ac-4575-a2ff-6acf23bf24b8 · outbound

This paper cites International Journal of Computer Vision , volume=.

GoStop: Reinforcement Learning for Adaptive Temporal Aggregation in Event-Based Feature Tracking International Journal of Computer Vision , volume=

Reference 16

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no resolver link, observed 2026-08-01T22:37:45.057184Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T22:37:45.057184Z digest=sha256:9d013168e1bea4d065f3d97a6ae055ee6cc4193d5239682c8c82ad02cdf56784

Observation 8335257f-0cd8-45d2-9f57-395937d0c06e · outbound

This paper cites IEEE Transactions on Pattern Analysis and Machine Intelligence , volume=.

GoStop: Reinforcement Learning for Adaptive Temporal Aggregation in Event-Based Feature Tracking IEEE Transactions on Pattern Analysis and Machine Intelligence , volume=

Reference 17

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no resolver link, observed 2026-08-01T22:37:45.194917Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T22:37:45.194917Z digest=sha256:3792e2313be8771ac251a9663831c4dfa681ed17a33f47e261c91c8a7ddc14da

Observation 16e45e1d-6210-467c-bcac-82635efd5fd0 · outbound

This paper cites Proceedings of the Computer Vision and Pattern Recognition Conference , pages=.

GoStop: Reinforcement Learning for Adaptive Temporal Aggregation in Event-Based Feature Tracking Proceedings of the Computer Vision and Pattern Recognition Conference , pages=

Reference 18

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no resolver link, observed 2026-08-01T22:37:45.323390Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T22:37:45.323390Z digest=sha256:0d015573ff6c30dca29f0e95f92945639a6ad6773f83ec4b1350ffff53028694

Observation e20d1017-fafa-4aab-9fc7-e541a58b918f · outbound

This paper cites nature , volume=.

GoStop: Reinforcement Learning for Adaptive Temporal Aggregation in Event-Based Feature Tracking nature , volume=

Reference 19

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no resolver link, observed 2026-08-01T22:37:45.443443Z

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source=arxiv_source observed=2026-08-01T22:37:45.443443Z digest=sha256:50805449ee41f1f7be45c0cf741d2d2abbde6ac4c1a3e1c826c6f9f2903f81cb

Observation 76db5cf3-8057-4b72-a4d0-e3fee601b4ed · outbound

This paper cites Proximal Policy Optimization Algorithms.

GoStop: Reinforcement Learning for Adaptive Temporal Aggregation in Event-Based Feature Tracking Proximal Policy Optimization Algorithms

Reference 20

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no resolver link, observed 2026-08-01T22:37:45.512005Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T22:37:45.512005Z digest=sha256:59334115834ea3fd60c2a72aaa576e77abc3788ca2c4837fae9190e7d27f2950

Observation 2424d0aa-01f3-4e87-b12d-24b4f6b97527 · outbound

This paper cites International conference on machine learning , pages=.

GoStop: Reinforcement Learning for Adaptive Temporal Aggregation in Event-Based Feature Tracking International conference on machine learning , pages=

Reference 21

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no resolver link, observed 2026-08-01T22:37:45.597032Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T22:37:45.597032Z digest=sha256:f51eb45b8407a903e92f537f4d9ce45d98cc8aace7e6487f38e77f202a7ea540

Observation 27b6f16e-c2c1-4e15-a283-1d5da61a6426 · outbound

This paper cites International conference on machine learning , pages=.

GoStop: Reinforcement Learning for Adaptive Temporal Aggregation in Event-Based Feature Tracking International conference on machine learning , pages=

Reference 22

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no resolver link, observed 2026-08-01T22:37:45.666217Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T22:37:45.666217Z digest=sha256:cab4b2df4ccfc8479adc1ef2c889e061e6df5dffd5be09ab781cc9c2a3350e09

Observation a34195ff-8c1b-402b-a2eb-2fad7e376628 · outbound

This paper cites The International journal of robotics research , volume=.

GoStop: Reinforcement Learning for Adaptive Temporal Aggregation in Event-Based Feature Tracking The International journal of robotics research , volume=

Reference 23

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no resolver link, observed 2026-08-01T22:37:45.774936Z

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source=arxiv_source observed=2026-08-01T22:37:45.774936Z digest=sha256:9087c871e7c1d3b453452170a2d913c04b0083b9339814f8e7982379eec3108a

Observation a09a63a8-e131-4aae-a5e2-dabcbcc3555f · outbound

This paper cites Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition , pages=.

GoStop: Reinforcement Learning for Adaptive Temporal Aggregation in Event-Based Feature Tracking Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition , pages=

Reference 24

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no resolver link, observed 2026-08-01T22:37:45.855190Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T22:37:45.855190Z digest=sha256:eee8cf50c54a32fefbadce35b456860384750c1e6a74a8198fc63f9aa5f1e9f5

Observation b915d057-3ab5-45e9-b4e0-20f5e5067111 · outbound

This paper cites Advances in Neural Information Processing Systems , volume=.

GoStop: Reinforcement Learning for Adaptive Temporal Aggregation in Event-Based Feature Tracking Advances in Neural Information Processing Systems , volume=

Reference 25

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no resolver link, observed 2026-08-01T22:37:45.945131Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T22:37:45.945131Z digest=sha256:30982b47ebda4eff7a55af7102b69bab9c11864a99acb6203df7df292f1cf4fd

Observation 5dd3562c-b910-4aa3-8a5f-9d8b99d4c071 · outbound

This paper cites European conference on computer vision , pages=.

GoStop: Reinforcement Learning for Adaptive Temporal Aggregation in Event-Based Feature Tracking European conference on computer vision , pages=

Reference 26

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no resolver link, observed 2026-08-01T22:37:46.038908Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T22:37:46.038908Z digest=sha256:72661ce08e69a0977d76ba7712654d958d6a029ac49affe4277e8de1c73f2bf1

Observation f4482e74-d7e2-4685-9762-fc176e0848c9 · outbound

This paper cites Proceedings of the IEEE/CVF International Conference on Computer Vision , pages=.

GoStop: Reinforcement Learning for Adaptive Temporal Aggregation in Event-Based Feature Tracking Proceedings of the IEEE/CVF International Conference on Computer Vision , pages=

Reference 27

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no resolver link, observed 2026-08-01T22:37:46.184402Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T22:37:46.184402Z digest=sha256:cd7ed9fbb6736a38a7603f0f888cccc5d81c264d8dde5adb986aa9fe1d9eac60

Observation 570cdde3-8c15-4f16-bb3c-19e9a108a3b0 · outbound

This paper cites 2018 International Conference on 3D Vision (3DV) , pages=.

GoStop: Reinforcement Learning for Adaptive Temporal Aggregation in Event-Based Feature Tracking 2018 International Conference on 3D Vision (3DV) , pages=

Reference 28

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no resolver link, observed 2026-08-01T22:37:46.364596Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T22:37:46.364596Z digest=sha256:45472954bced651c86aa5275463fe4b256ac5acacca02b8bb15bbf669895840c

Observation 2b6eabff-af5e-4d01-b51a-76aaeadaff09 · outbound

This paper cites Event-Based Feature Tracking in Continuous Time with Sliding Window Optimization.

GoStop: Reinforcement Learning for Adaptive Temporal Aggregation in Event-Based Feature Tracking Event-Based Feature Tracking in Continuous Time with Sliding Window Optimization

Reference 29

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no resolver link, observed 2026-08-01T22:37:46.522469Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T22:37:46.522469Z digest=sha256:a1193ee058b8ebe4e22e38199018fb54addcff472fac21633cd4b3ef436755fd

Observation 0c04b740-69c7-4aba-85eb-3f21d6b834a1 · outbound

This paper cites Authorea Preprints , year=.

GoStop: Reinforcement Learning for Adaptive Temporal Aggregation in Event-Based Feature Tracking Authorea Preprints , year=

Reference 30

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unresolved
no resolver link, observed 2026-08-01T22:37:46.650607Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T22:37:46.650607Z digest=sha256:701f26732905e6d536bbcd052eb6658d12603137c004b25fc0fc95dcfe9e38f6

Observation 6a52b8f2-67ce-4ade-8ee2-1f2c343133b8 · outbound

This paper cites 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) , pages=.

GoStop: Reinforcement Learning for Adaptive Temporal Aggregation in Event-Based Feature Tracking 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) , pages=

Reference 31

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no resolver link, observed 2026-08-01T22:37:46.756361Z

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source=arxiv_source observed=2026-08-01T22:37:46.756361Z digest=sha256:401c5bfe520e3227cd788ca896d39ed39a990572d86abf586c38bce28b3ec56b

Observation 23c142be-8caa-40e0-bb1c-47df4517aa0f · outbound

This paper cites Robust feature tracking in dvs event stream using b.

GoStop: Reinforcement Learning for Adaptive Temporal Aggregation in Event-Based Feature Tracking Robust feature tracking in dvs event stream using b

Reference 32

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no resolver link, observed 2026-08-01T22:37:46.873937Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T22:37:46.873937Z digest=sha256:615fa6ec81ce70ce4c6bf410fffee351ab77946087757de9a4fe71e18deeb58e

Observation c92f122b-4691-48ea-9cd6-60865055f887 · outbound

This paper cites Asynchronous Blob Tracker for Event Cameras.

GoStop: Reinforcement Learning for Adaptive Temporal Aggregation in Event-Based Feature Tracking Asynchronous Blob Tracker for Event Cameras

Reference 33

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no resolver link, observed 2026-08-01T22:37:47.015685Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T22:37:47.015685Z digest=sha256:30d6937cf4fa55a928a9d602f919756a64fda15092bc3d96e2610e131f8a216a

Observation ab6a5005-06fc-4643-972e-6bade846d87e · outbound

This paper cites Proceedings of the IEEE/CVF conference on computer vision and pattern recognition , pages=.

GoStop: Reinforcement Learning for Adaptive Temporal Aggregation in Event-Based Feature Tracking Proceedings of the IEEE/CVF conference on computer vision and pattern recognition , pages=

Reference 34

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no resolver link, observed 2026-08-01T22:37:47.093944Z

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source=arxiv_source observed=2026-08-01T22:37:47.093944Z digest=sha256:7b0ec131b89757e6b8ce735f9ce796332ea57a0ce0c3cf3631d7f8bf63eda6db

Observation bfd2fe62-6998-4e28-8b78-b165f0ddf8df · outbound

This paper cites Proceedings of the IEEE/CVF conference on computer vision and pattern recognition , pages=.

GoStop: Reinforcement Learning for Adaptive Temporal Aggregation in Event-Based Feature Tracking Proceedings of the IEEE/CVF conference on computer vision and pattern recognition , pages=

Reference 35

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no resolver link, observed 2026-08-01T22:37:47.293912Z

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source=arxiv_source observed=2026-08-01T22:37:47.293912Z digest=sha256:4505f08375639e8bc31cef5cf58458b628f34d9b2e3b0f512336c220c411f8ec

Observation 9d09b075-8221-4125-afe5-884ed97222b0 · outbound

This paper cites Proceedings of the IEEE/CVF international conference on computer vision , pages=.

GoStop: Reinforcement Learning for Adaptive Temporal Aggregation in Event-Based Feature Tracking Proceedings of the IEEE/CVF international conference on computer vision , pages=

Reference 36

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no resolver link, observed 2026-08-01T22:37:47.413030Z

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source=arxiv_source observed=2026-08-01T22:37:47.413030Z digest=sha256:9cfeaecab014b0b2b42ba35bd148a17e13e3c5f816dc217cd57cad5caaa62dac

Observation 87e05135-a72f-478e-89f4-4ad049cd097f · outbound

This paper cites Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition , pages=.

GoStop: Reinforcement Learning for Adaptive Temporal Aggregation in Event-Based Feature Tracking Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition , pages=

Reference 37

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no resolver link, observed 2026-08-01T22:37:47.520075Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T22:37:47.520075Z digest=sha256:65768e8d1766b027d8e6730e999de54bdd8e5d0c07c282a1b8f673b8676cab93

Observation b6871191-9170-4199-8a11-66bcccbf8a7b · outbound

This paper cites IEEE Transactions on Pattern Analysis and Machine Intelligence , year=.

GoStop: Reinforcement Learning for Adaptive Temporal Aggregation in Event-Based Feature Tracking IEEE Transactions on Pattern Analysis and Machine Intelligence , year=

Reference 38

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source=arxiv_source observed=2026-08-01T22:37:47.644770Z digest=sha256:f452b862f1ed9b9bb2bacd64c39a47edbe0f5109363196472e51b493450f33d0

Observation ea485b9d-c6e8-4ef9-91f5-a468dce71b1e · outbound

This paper cites Proceedings of the IEEE/CVF conference on computer vision and pattern recognition , pages=.

GoStop: Reinforcement Learning for Adaptive Temporal Aggregation in Event-Based Feature Tracking Proceedings of the IEEE/CVF conference on computer vision and pattern recognition , pages=

Reference 39

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source=arxiv_source observed=2026-08-01T22:37:47.761413Z digest=sha256:de7be1b48d80790b50128bd40833e0427fc214acfc5c5a8ecf3ba889fdd37bd6

Observation 6d1f3a27-d688-4c87-959e-0dd9713bfe4d · outbound

This paper cites Object Detection with Deep Reinforcement Learning.

GoStop: Reinforcement Learning for Adaptive Temporal Aggregation in Event-Based Feature Tracking Object Detection with Deep Reinforcement Learning

Reference 40

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source=arxiv_source observed=2026-08-01T22:37:47.885392Z digest=sha256:ba66cd6bbd1fbaab97616429b4a5e6d8603a5a7459fa1964a6bd5759fe70555a

Observation 3b24b4c9-1e66-4b49-99b3-8cef7ab1631d · outbound

This paper cites International conference on machine learning , pages=.

GoStop: Reinforcement Learning for Adaptive Temporal Aggregation in Event-Based Feature Tracking International conference on machine learning , pages=

Reference 41

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source=arxiv_source observed=2026-08-01T22:37:47.999184Z digest=sha256:cd98a1738603dde08c43266af25e2d42d3eb1bffb0c93664ec33d4593170b13a

Observation 49201b96-642c-4cc2-807e-3eb4a5c4f787 · outbound

This paper cites Conference on robot learning , pages=.

GoStop: Reinforcement Learning for Adaptive Temporal Aggregation in Event-Based Feature Tracking Conference on robot learning , pages=

Reference 42

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source=arxiv_source observed=2026-08-01T22:37:48.135190Z digest=sha256:277713ee598ff99f6ba525ebae4ddccfa1afe5f3398cf3f403b41be831c32cd3

Observation 7e3a7a94-a369-400e-bbd1-68c13f8920a7 · outbound

This paper cites Proceedings of the IEEE international conference on computer vision , pages=.

GoStop: Reinforcement Learning for Adaptive Temporal Aggregation in Event-Based Feature Tracking Proceedings of the IEEE international conference on computer vision , pages=

Reference 43

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source=arxiv_source observed=2026-08-01T22:37:48.278721Z digest=sha256:4a55fecaf51f4c879bdbd2ae8eb53aa95964af82495f4e98a97f452f2dc76b22

Observation 3c025071-d042-4cf3-8f6f-081eca9a1f4c · outbound

This paper cites Advances in Neural Information Processing Systems , volume=.

GoStop: Reinforcement Learning for Adaptive Temporal Aggregation in Event-Based Feature Tracking Advances in Neural Information Processing Systems , volume=

Reference 44

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source=arxiv_source observed=2026-08-01T22:37:48.421687Z digest=sha256:ac2842b7810ba907cf6766649a060c802d9f481b63b475cce6cbc9cd3d73ea8e

Observation ce42c3c0-7bcb-4fdb-b2bc-9a522d31c989 · outbound

This paper cites European Conference on Computer Vision.

GoStop: Reinforcement Learning for Adaptive Temporal Aggregation in Event-Based Feature Tracking European Conference on Computer Vision

Reference 45

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source=arxiv_source observed=2026-08-01T22:37:48.509447Z digest=sha256:00ba2a71d9dcef5c754d55f96d950f1ef5444f45d2ea737a1aeb71facdb880bf

Observation 1edf2d35-e782-423b-a282-91d0344f6dc7 · outbound

This paper cites International Conference on Machine Learning , year=.

GoStop: Reinforcement Learning for Adaptive Temporal Aggregation in Event-Based Feature Tracking International Conference on Machine Learning , year=

Reference 46

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source=arxiv_source observed=2026-08-01T22:37:48.631724Z digest=sha256:b6c3d88df579b8b8c5facaa884cf3c1b322369f282e045e8b6b84e0498039174

Observation 4e2c2fc0-8414-4cc3-b490-5d64a2ad6917 · outbound

This paper cites 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) , year=.

GoStop: Reinforcement Learning for Adaptive Temporal Aggregation in Event-Based Feature Tracking 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) , year=

Reference 47

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source=arxiv_source observed=2026-08-01T22:37:48.747760Z digest=sha256:6597a141a098ca2ce13baca0effe91f395c059ca182b86ef4aecdac952efb806

Observation d2fe547d-5ecf-4bcd-a8af-c63a5eb1bff2 · outbound

This paper cites Journal of machine learning research , volume=.

GoStop: Reinforcement Learning for Adaptive Temporal Aggregation in Event-Based Feature Tracking Journal of machine learning research , volume=

Reference 48

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source=arxiv_source observed=2026-08-01T22:37:48.832179Z digest=sha256:73d261785327b490dc29e46480b19d15bed62007ba43481c996a4b08c8e3ce19

Observation f88e33e6-fe99-4a8d-b661-8c979ce6309a · outbound

This paper cites IEEE Journal of Solid-State Circuits , volume=.

GoStop: Reinforcement Learning for Adaptive Temporal Aggregation in Event-Based Feature Tracking IEEE Journal of Solid-State Circuits , volume=

Reference 49

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source=arxiv_source observed=2026-08-01T22:37:48.883606Z digest=sha256:7969100640209f932a2ac44881df8b4f53c953a80afe01ecd8507dde70204662

Observation 078247fc-44d0-4e0d-8961-9fafcb09d0de · outbound

This paper cites Deep Learning using Rectified Linear Units (ReLU).

GoStop: Reinforcement Learning for Adaptive Temporal Aggregation in Event-Based Feature Tracking Deep Learning using Rectified Linear Units (ReLU)

Reference 50

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source=arxiv_source observed=2026-08-01T22:37:48.976949Z digest=sha256:a62ef46790eae025292813a48f07f4af8b60ac062dc9408adfd5fb477ffb9078

Observation 6e3d5685-b588-4018-8e42-1a8b9bbd9729 · outbound

This paper cites IEEE transactions on pattern analysis and machine intelligence , volume=.

GoStop: Reinforcement Learning for Adaptive Temporal Aggregation in Event-Based Feature Tracking IEEE transactions on pattern analysis and machine intelligence , volume=

Reference 51

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source=arxiv_source observed=2026-08-01T22:37:49.057131Z digest=sha256:4108d9110300ccba75ae4594b99015ea201ad8c14e0aeee98ce4aede0c13a9a8

Observation 2bd1f091-f707-4e7d-9872-836c730f90ed · outbound

This paper cites Transactions of the association for computational linguistics , volume=.

GoStop: Reinforcement Learning for Adaptive Temporal Aggregation in Event-Based Feature Tracking Transactions of the association for computational linguistics , volume=

Reference 52

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source=arxiv_source observed=2026-08-01T22:37:49.126980Z digest=sha256:5f2521f242ee50a3bf0d98ba10f11f9e1c801b0b590044a6f34666579a41f40e

Observation c38603be-5e32-4680-aa70-d3c74967b043 · outbound

This paper cites Proceedings of the AAAI Conference on Artificial Intelligence , volume=.

GoStop: Reinforcement Learning for Adaptive Temporal Aggregation in Event-Based Feature Tracking Proceedings of the AAAI Conference on Artificial Intelligence , volume=

Reference 53

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source=arxiv_source observed=2026-08-01T22:37:49.216364Z digest=sha256:ec0cafdbf652b7e66ee0c767f1035c50c9cb7910fb1a977b62a5ccc868561eef

Observation a7336a07-6dc4-4279-9337-691b647b617b · outbound

This paper cites Advances in Neural Information Processing Systems , volume=.

GoStop: Reinforcement Learning for Adaptive Temporal Aggregation in Event-Based Feature Tracking Advances in Neural Information Processing Systems , volume=

Reference 54

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source=arxiv_source observed=2026-08-01T22:37:49.327793Z digest=sha256:2287d34e611d9364eaa9a439bdb998fdc86686eea39f43315163df908c5d1a9d

Observation cd66d407-60fa-449e-a360-afe0e1afb567 · outbound

This paper cites 2022 International Conference on Robotics and Automation (ICRA) , pages=.

GoStop: Reinforcement Learning for Adaptive Temporal Aggregation in Event-Based Feature Tracking 2022 International Conference on Robotics and Automation (ICRA) , pages=

Reference 55

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source=arxiv_source observed=2026-08-01T22:37:49.471419Z digest=sha256:8a55ee724742c074c6fe935ca203eb1e00b3e2271e8079731108d8b7a3812f2a

Observation 28c6c208-f367-48d9-b468-5e712ab991ad · outbound

This paper cites European Conference on Computer Vision , pages=.

GoStop: Reinforcement Learning for Adaptive Temporal Aggregation in Event-Based Feature Tracking European Conference on Computer Vision , pages=

Reference 56

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source=arxiv_source observed=2026-08-01T22:37:49.597001Z digest=sha256:99dea0424dd18e8bd39250e16b780a352ea87b2765f53b431f563618b12f88d7

Observation 05ce556d-99f0-4120-bcea-22838a3959c4 · outbound

This paper cites an unresolved cited work.

GoStop: Reinforcement Learning for Adaptive Temporal Aggregation in Event-Based Feature Tracking Unresolved cited work

Reference 57

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source=arxiv_source observed=2026-08-01T22:37:49.732326Z digest=sha256:477f2cccfcd6592ecd50d7a48142264d640cb4243f92ed64d420d342dedd39cf

Observation a828c4b0-30f8-4e5f-8fb1-0739e578c07f · outbound

This paper cites Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition , pages=.

GoStop: Reinforcement Learning for Adaptive Temporal Aggregation in Event-Based Feature Tracking Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition , pages=

Reference 58

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source=arxiv_source observed=2026-08-01T22:37:49.843259Z digest=sha256:c277446c25b6254bf9ec2c14515d9b9e103b18e382e027541c058d065b331845

Observation 50e67a0d-8f4a-4d29-9abd-599779d724e3 · outbound

This paper cites Advances in neural information processing systems , volume=.

GoStop: Reinforcement Learning for Adaptive Temporal Aggregation in Event-Based Feature Tracking Advances in neural information processing systems , volume=

Reference 59

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source=arxiv_source observed=2026-08-01T22:37:49.954226Z digest=sha256:8bd37682547dc8168f4e65089c3f559aea8901644aae19d43038e147b9cc803f

Observation 740fde60-dde7-4c53-8942-8d5ce306d6b5 · outbound

This paper cites Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition , pages=.

GoStop: Reinforcement Learning for Adaptive Temporal Aggregation in Event-Based Feature Tracking Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition , pages=

Reference 60

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source=arxiv_source observed=2026-08-01T22:37:50.072244Z digest=sha256:4cca40459c64a02eef3fc25f99f0c6b1a3832e9c322c0f67954611841848c8b0

Observation 15561da1-a101-4a83-ae23-0aa1215cfb8c · outbound

This paper cites arXiv preprint arXiv:2512.01188 , year=.

GoStop: Reinforcement Learning for Adaptive Temporal Aggregation in Event-Based Feature Tracking arXiv preprint arXiv:2512.01188 , year=

Reference 61

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source=arxiv_source observed=2026-08-01T22:37:50.241472Z digest=sha256:c59f550b51814f8e4c7337e607bd88c0bfcf4002881b8bcef1aba96aef87c9ea

Observation 042fc716-d799-4425-b470-b494f0abdec0 · outbound

This paper cites 2020 IEEE International Conference on Robotics and Automation (ICRA) , pages=.

GoStop: Reinforcement Learning for Adaptive Temporal Aggregation in Event-Based Feature Tracking 2020 IEEE International Conference on Robotics and Automation (ICRA) , pages=

Reference 62

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source=arxiv_source observed=2026-08-01T22:37:50.426147Z digest=sha256:795f6d74ca9ce869a98a057891050c3fa893702db6b9a0af5c0da606a39c8a3f

Observation 82701853-89bc-4cb5-a450-b921b1e76fba · outbound

This paper cites 2024 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) , pages=.

GoStop: Reinforcement Learning for Adaptive Temporal Aggregation in Event-Based Feature Tracking 2024 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) , pages=

Reference 63

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source=arxiv_source observed=2026-08-01T22:37:50.553752Z digest=sha256:e32f071e9fe958e67f4a35685d11987ba0fcbdd5c2c8e45af3a1de12840c1d72

Observation cd51f33b-aa05-41e7-a0db-a78d8fc3e388 · outbound

This paper cites Neural networks , volume=.

GoStop: Reinforcement Learning for Adaptive Temporal Aggregation in Event-Based Feature Tracking Neural networks , volume=

Reference 64

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source=arxiv_source observed=2026-08-01T22:37:50.700636Z digest=sha256:2dba9b5b9a9fc11404a18b4976970091b77a0db662d74b47ef9ea01e6c90266f

Observation cf35112e-ae92-4366-bc79-48afaed7bb41 · outbound

This paper cites Informed POMDP: Leveraging Additional Information in Model-Based RL.

GoStop: Reinforcement Learning for Adaptive Temporal Aggregation in Event-Based Feature Tracking Informed POMDP: Leveraging Additional Information in Model-Based RL

Reference 65

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source=arxiv_source observed=2026-08-01T22:37:50.872210Z digest=sha256:23fc9d3849798eb829b2d67c5a9409e77b3cc2162ddf0b236fbe627159ec1783

Observation 82020d3b-83e0-4f49-a0ed-103ebb8185d4 · outbound

This paper cites Privileged Sensing Scaffolds Reinforcement Learning.

GoStop: Reinforcement Learning for Adaptive Temporal Aggregation in Event-Based Feature Tracking Privileged Sensing Scaffolds Reinforcement Learning

Reference 66

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source=arxiv_source observed=2026-08-01T22:37:50.990637Z digest=sha256:94855c0900242e94a296ed77bf7bc17ffd1a2a727c500205bcb694712809825c

Observation b8e6d227-2dcc-42bb-b658-abcab05bbe4c · outbound

This paper cites Conference on Robot Learning , pages=.

GoStop: Reinforcement Learning for Adaptive Temporal Aggregation in Event-Based Feature Tracking Conference on Robot Learning , pages=

Reference 67

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no resolver link, observed 2026-08-01T22:37:51.144808Z

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source=arxiv_source observed=2026-08-01T22:37:51.144808Z digest=sha256:98c26e520aa876b678a1d70634ba0e3df375a25b5f8a74213763da1d7c44d4d2

Observation 5db03be4-4fb0-47d0-bc08-9fba342177cb · outbound

This paper cites Asymmetric Actor Critic for Image-Based Robot Learning.

GoStop: Reinforcement Learning for Adaptive Temporal Aggregation in Event-Based Feature Tracking Asymmetric Actor Critic for Image-Based Robot Learning

Reference 68

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source=arxiv_source observed=2026-08-01T22:37:51.261635Z digest=sha256:320ee5df81142387223b6ffdcc0c5b47e2976474ac4c26a654d19035d99d460f

Observation 3d68ffdd-225a-41f4-95c1-8eb9d7a57478 · outbound

This paper cites Science robotics , volume=.

GoStop: Reinforcement Learning for Adaptive Temporal Aggregation in Event-Based Feature Tracking Science robotics , volume=

Reference 69

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source=arxiv_source observed=2026-08-01T22:37:51.402517Z digest=sha256:1ad5c5a72f44dab9c34a2898012fc8acddb60ca9bd0492c4fccf960f75c7964b

Observation 08278957-7083-47f7-bf8c-d809d132a715 · outbound

This paper cites Machine learning proceedings 1990 , pages=.

GoStop: Reinforcement Learning for Adaptive Temporal Aggregation in Event-Based Feature Tracking Machine learning proceedings 1990 , pages=

Reference 70

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source=arxiv_source observed=2026-08-01T22:37:51.552302Z digest=sha256:070426366c490b83a0c164d4df1ef0bf8bb70dbfe2bb689d91e596abf1972f8a

Observation 3cbe011a-8228-47e9-b6cf-d1f600f06668 · outbound

This paper cites Transactions on Machine Learning Research , year=.

GoStop: Reinforcement Learning for Adaptive Temporal Aggregation in Event-Based Feature Tracking Transactions on Machine Learning Research , year=

Reference 71

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source=arxiv_source observed=2026-08-01T22:37:51.688394Z digest=sha256:e18d6951d4ab9adc3b481be7ce93c98bdcd23385c179f493d88ef4547ac2eff3

Observation ac75971f-7267-4cfe-aae7-da533bd9067d · outbound

This paper cites Advances in Neural Information Processing Systems , volume=.

GoStop: Reinforcement Learning for Adaptive Temporal Aggregation in Event-Based Feature Tracking Advances in Neural Information Processing Systems , volume=

Reference 72

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source=arxiv_source observed=2026-08-01T22:37:51.858201Z digest=sha256:e60cc00d55eea888301384f1b8c1fec1f3061cba7b48a5398b3facd0c504a47f

Observation cd24f5e3-dd52-44fa-b970-adeb877c7cd2 · outbound

This paper cites International Conference on Machine Learning , pages=.

GoStop: Reinforcement Learning for Adaptive Temporal Aggregation in Event-Based Feature Tracking International Conference on Machine Learning , pages=

Reference 73

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source=arxiv_source observed=2026-08-01T22:37:52.006090Z digest=sha256:66eb275a4d9dc8da6bea8bf58a11e1b89a20dab0bc0b90a9ed43a1cabd833b0c

Observation e6df8f62-dc5b-454d-87ec-8e9e523ab4bf · outbound

This paper cites The 8th Conference on Robot Learning , year=.

GoStop: Reinforcement Learning for Adaptive Temporal Aggregation in Event-Based Feature Tracking The 8th Conference on Robot Learning , year=

Reference 74

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source=arxiv_source observed=2026-08-01T22:37:52.143321Z digest=sha256:ab83bebb5876a6be07be25f5d51556876d708b5cc7bc220b59eed39fdfeb6e4b

Observation 31e03b87-39fc-4103-9a9f-a3f6722385cd · outbound

This paper cites European Conference on Computer Vision , pages=.

GoStop: Reinforcement Learning for Adaptive Temporal Aggregation in Event-Based Feature Tracking European Conference on Computer Vision , pages=

Reference 75

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source=arxiv_source observed=2026-08-01T22:37:52.285539Z digest=sha256:d60e50d154fbd2669b603dbaf915c10f4b5b9a4434b71c12535b19339a9300b2

Observation 8ddcc05c-8a7d-45e1-ac8d-ed1c8a449eac · outbound

This paper cites Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition , pages=.

GoStop: Reinforcement Learning for Adaptive Temporal Aggregation in Event-Based Feature Tracking Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition , pages=

Reference 76

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no resolver link, observed 2026-08-01T22:37:52.400451Z

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source=arxiv_source observed=2026-08-01T22:37:52.400451Z digest=sha256:8e7538b0ff4a2ff5d8e38826b2c1a4787aa25883ce5a2d9757052ea96ece777e

Observation 2f438457-84e3-4192-ac1b-f67efa616c24 · outbound

This paper cites Advances in Neural Information Processing Systems , volume=.

GoStop: Reinforcement Learning for Adaptive Temporal Aggregation in Event-Based Feature Tracking Advances in Neural Information Processing Systems , volume=

Reference 77

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unresolved
no resolver link, observed 2026-08-01T22:37:52.485505Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T22:37:52.485505Z digest=sha256:fb88591abb29046f9188fef452c292208c0db51182343b57b0da8420dbc290c6

Observation 523a06f0-e70b-4bfa-9fd3-3969ba01c918 · outbound

This paper cites Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition , pages=.

GoStop: Reinforcement Learning for Adaptive Temporal Aggregation in Event-Based Feature Tracking Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition , pages=

Reference 78

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unresolved
no resolver link, observed 2026-08-01T22:37:52.602294Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T22:37:52.602294Z digest=sha256:998512009e8a2829aa4bbc3746fc033474362d105b05477ac462d733d2564f18

Observation df086667-8053-44bb-8a80-9267c161dfc5 · outbound

This paper cites Proceedings of the Computer Vision and Pattern Recognition Conference , pages=.

GoStop: Reinforcement Learning for Adaptive Temporal Aggregation in Event-Based Feature Tracking Proceedings of the Computer Vision and Pattern Recognition Conference , pages=

Reference 79

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unresolved
no resolver link, observed 2026-08-01T22:37:52.774587Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T22:37:52.774587Z digest=sha256:6785a85e04e0874715d3811a8f548da9189125cebe0ef139a201cdca7113dc74

Observation aa6cc626-6e0f-4081-8886-9a6a6a6d699b · outbound

This paper cites Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition , pages=.

GoStop: Reinforcement Learning for Adaptive Temporal Aggregation in Event-Based Feature Tracking Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition , pages=

Reference 80

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unresolved
no resolver link, observed 2026-08-01T22:37:52.914486Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T22:37:52.914486Z digest=sha256:9f39d0c9b5658ec04885e4b6f2266d3d5cf9b2a3b741ff14f0c6bbcf13fe75c0

Observation 31334791-88f1-4d68-897e-c23cda219862 · outbound

This paper cites Proceedings of the Computer Vision and Pattern Recognition Conference , pages=.

GoStop: Reinforcement Learning for Adaptive Temporal Aggregation in Event-Based Feature Tracking Proceedings of the Computer Vision and Pattern Recognition Conference , pages=

Reference 81

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unresolved
no resolver link, observed 2026-08-01T22:37:53.025075Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T22:37:53.025075Z digest=sha256:4e9172c4e58b1d82336d3f3f10d46f7b769664c4421fbcc981c562955683333b

Observation 210b2713-365d-4380-80c8-d2f1c39544ea · outbound

This paper cites Proceedings of the Computer Vision and Pattern Recognition Conference , pages=.

GoStop: Reinforcement Learning for Adaptive Temporal Aggregation in Event-Based Feature Tracking Proceedings of the Computer Vision and Pattern Recognition Conference , pages=

Reference 82

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unresolved
no resolver link, observed 2026-08-01T22:37:53.112391Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T22:37:53.112391Z digest=sha256:000786790a28b04057e34f1551f32b744a487e69623da9db71d64ca02345d32e

Observation fc2e06c8-e49a-4816-810e-8ebde3d407ff · outbound

This paper cites Proceedings of the Computer Vision and Pattern Recognition Conference , pages=.

GoStop: Reinforcement Learning for Adaptive Temporal Aggregation in Event-Based Feature Tracking Proceedings of the Computer Vision and Pattern Recognition Conference , pages=

Reference 83

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unresolved
no resolver link, observed 2026-08-01T22:37:53.226135Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T22:37:53.226135Z digest=sha256:1f67d6fc80ac2fc2d1517feb0c65bfef6bd0644d906f9094ba57090f07b7e2af

Observation 38c1bbe2-af71-43a5-a5f2-57431a5c15f9 · outbound

This paper cites arXiv preprint arXiv:2410.15392 , year=.

GoStop: Reinforcement Learning for Adaptive Temporal Aggregation in Event-Based Feature Tracking arXiv preprint arXiv:2410.15392 , year=

Reference 84

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no resolver link, observed 2026-08-01T22:37:53.336583Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T22:37:53.336583Z digest=sha256:f5a800528f2e3f2c44a6c7c4c72c75133c002fe0351312723a8f8e412182713d

Observation ece3cce3-b658-4199-b186-1327d2ec5b6c · outbound

This paper cites Event-Driven Dynamic Scene Depth Completion.

GoStop: Reinforcement Learning for Adaptive Temporal Aggregation in Event-Based Feature Tracking Event-Driven Dynamic Scene Depth Completion

Reference 85

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no resolver link, observed 2026-08-01T22:37:53.450299Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T22:37:53.450299Z digest=sha256:b4750306da5933c731e5410ce11a151eaa32083ab698a19aec7881b52884d399

Observation fa4b54d1-f01c-42c7-b601-260eabfcf401 · outbound

This paper cites Advances in Neural Information Processing Systems , volume=.

GoStop: Reinforcement Learning for Adaptive Temporal Aggregation in Event-Based Feature Tracking Advances in Neural Information Processing Systems , volume=

Reference 86

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unresolved
no resolver link, observed 2026-08-01T22:37:53.593713Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T22:37:53.593713Z digest=sha256:f0fe11da20bfb3ea14362aebed09a422cf93c57f60c0e76cd527887c691c4893

Observation e72f0b65-b0b5-450c-b2a0-449c4e2dae20 · outbound

This paper cites an unresolved cited work.

GoStop: Reinforcement Learning for Adaptive Temporal Aggregation in Event-Based Feature Tracking Unresolved cited work

Reference 87

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unresolved
no resolver link, observed 2026-08-01T22:37:53.730376Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T22:37:53.730376Z digest=sha256:8fd5afcf665294c224ece8b418c83ea0beee5829c59d75bdee723f39783ee71e

Observation a5cc473b-bb20-4311-976a-348c7b5b7318 · outbound

This paper cites Advances in Neural Information Processing Systems , volume=.

GoStop: Reinforcement Learning for Adaptive Temporal Aggregation in Event-Based Feature Tracking Advances in Neural Information Processing Systems , volume=

Reference 88

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unresolved
no resolver link, observed 2026-08-01T22:37:53.810702Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T22:37:53.810702Z digest=sha256:4d838aba5eaeaaff17a172c449528fe6d4107d64739b3c5836309748d58ab2b2

Observation 1f0fcb44-4968-4abd-adf8-915c8bf74029 · outbound

This paper cites EVIMO2: An Event Camera Dataset for Motion Segmentation, Optical Flow, Structure from Motion, and Visual Inertial Odometry in Indoor Scenes with Monocular or Stereo Algorithms.

GoStop: Reinforcement Learning for Adaptive Temporal Aggregation in Event-Based Feature Tracking EVIMO2: An Event Camera Dataset for Motion Segmentation, Optical Flow, Structure from Motion, and Visual Inertial Odometry in Indoor Scenes with Monocular or Stereo Algorithms

Reference 89

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unresolved
no resolver link, observed 2026-08-01T22:37:53.986602Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T22:37:53.986602Z digest=sha256:cae154d6dd3148f52eefb6dbb426bcf54052e6d5020e5617087e119b3313dcdc

Observation 622deb46-1822-49a0-8f8b-ea9f53300fcc · outbound

This paper cites Proceedings of the Computer Vision and Pattern Recognition Conference , pages=.

GoStop: Reinforcement Learning for Adaptive Temporal Aggregation in Event-Based Feature Tracking Proceedings of the Computer Vision and Pattern Recognition Conference , pages=

Reference 90

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unresolved
no resolver link, observed 2026-08-01T22:37:54.137964Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T22:37:54.137964Z digest=sha256:bae16011e6063cd3916af60172999af0e5e9f613f730d2f1fec5cbeb05cadfc9

Observation 91bfa851-aa2c-4e89-9b7d-213c62535297 · outbound

This paper cites Proceedings of the IEEE/CVF International Conference on Computer Vision , pages=.

GoStop: Reinforcement Learning for Adaptive Temporal Aggregation in Event-Based Feature Tracking Proceedings of the IEEE/CVF International Conference on Computer Vision , pages=

Reference 91

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no resolver link, observed 2026-08-01T22:37:54.265445Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T22:37:54.265445Z digest=sha256:494d1e8952ac97fdc270efcd9e1a9b2329fc41462986d583009e5d7240b21f83

Observation e085bf21-0344-4360-b2c5-f73230060795 · outbound

This paper cites Proceedings of the IEEE/CVF International Conference on Computer Vision , pages=.

GoStop: Reinforcement Learning for Adaptive Temporal Aggregation in Event-Based Feature Tracking Proceedings of the IEEE/CVF International Conference on Computer Vision , pages=

Reference 92

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no resolver link, observed 2026-08-01T22:37:54.414193Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T22:37:54.414193Z digest=sha256:f37e27a97173abf8e089740d4f8c7569ba340295c8632a95b3fe84921749d5c3

Observation c62ecb6d-df7c-44b7-8fdd-1f2df6e3eff0 · outbound

This paper cites Proceedings of the IEEE/CVF International Conference on Computer Vision , pages=.

GoStop: Reinforcement Learning for Adaptive Temporal Aggregation in Event-Based Feature Tracking Proceedings of the IEEE/CVF International Conference on Computer Vision , pages=

Reference 93

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unresolved
no resolver link, observed 2026-08-01T22:37:54.521577Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T22:37:54.521577Z digest=sha256:7aa9650a86abf1921ff4d0892d78e20c1510781c08b30f3af3121f48357762db

Observation 8a211742-f3f7-4730-b442-8a53a1fad606 · outbound

This paper cites Proceedings of the IEEE/CVF International Conference on Computer Vision , pages=.

GoStop: Reinforcement Learning for Adaptive Temporal Aggregation in Event-Based Feature Tracking Proceedings of the IEEE/CVF International Conference on Computer Vision , pages=

Reference 94

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unresolved
no resolver link, observed 2026-08-01T22:37:54.603633Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T22:37:54.603633Z digest=sha256:d799ead89f1468a9dfef7a507fbfd3961bba22594f24dfe98388989fb248a172

Observation 5787a5ea-6ae3-4e00-b0f6-6100e859af4f · outbound

This paper cites Proceedings of the IEEE/CVF International Conference on Computer Vision , pages=.

GoStop: Reinforcement Learning for Adaptive Temporal Aggregation in Event-Based Feature Tracking Proceedings of the IEEE/CVF International Conference on Computer Vision , pages=

Reference 95

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unresolved
no resolver link, observed 2026-08-01T22:37:54.752012Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T22:37:54.752012Z digest=sha256:70242bd8ba2b315ff5b0825382e045fc029f257bea07d64f515f4ad26c7644f9

Observation 728d57bf-3f10-4970-aeb4-8eebf34614f4 · outbound

This paper cites Proceedings of the IEEE/CVF International Conference on Computer Vision , pages=.

GoStop: Reinforcement Learning for Adaptive Temporal Aggregation in Event-Based Feature Tracking Proceedings of the IEEE/CVF International Conference on Computer Vision , pages=

Reference 96

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unresolved
no resolver link, observed 2026-08-01T22:37:54.866130Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T22:37:54.866130Z digest=sha256:21ae2a3581f5298f64cca1da1ca46c76ad3c189165c3759b774bd95ca2e4760c

Observation 783eb1f8-16fe-4898-8d71-c2eb01f78fde · outbound

This paper cites High-Dimensional Continuous Control Using Generalized Advantage Estimation.

GoStop: Reinforcement Learning for Adaptive Temporal Aggregation in Event-Based Feature Tracking High-Dimensional Continuous Control Using Generalized Advantage Estimation

Reference 97

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unresolved
no resolver link, observed 2026-08-01T22:37:55.001964Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T22:37:55.001964Z digest=sha256:2eb02c28f4881f1678cabc758e12e289164b2ca153abe5dc53ad7a9dd29b22f4

Observation becfcf5c-346b-4dec-9dea-466fe16e9b8c · outbound

This paper cites Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition , pages=.

GoStop: Reinforcement Learning for Adaptive Temporal Aggregation in Event-Based Feature Tracking Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition , pages=

Reference 98

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unresolved
no resolver link, observed 2026-08-01T22:37:55.063648Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T22:37:55.063648Z digest=sha256:a088846a19e69c3e0669e1a3dcd58919246664e9dc0d93d17f579d4b0272e502

Observation 2a71a9be-fb32-4097-854a-ca5d8cffe6bd · outbound

This paper cites Proceedings of the IEEE/CVF conference on computer vision and pattern recognition , pages=.

GoStop: Reinforcement Learning for Adaptive Temporal Aggregation in Event-Based Feature Tracking Proceedings of the IEEE/CVF conference on computer vision and pattern recognition , pages=

Reference 99

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unresolved
no resolver link, observed 2026-08-01T22:37:55.134229Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T22:37:55.134229Z digest=sha256:35be73245d7e36baa7a019cb0676333806a4a728010c29b25b709398c04b3726

Observation 7937138b-3df0-4bac-a670-6b30f94acba2 · outbound

This paper cites Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition , pages=.

GoStop: Reinforcement Learning for Adaptive Temporal Aggregation in Event-Based Feature Tracking Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition , pages=

Reference 100

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unresolved
no resolver link, observed 2026-08-01T22:37:55.212998Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T22:37:55.212998Z digest=sha256:099fd5ad612db2a61994d56dfa0b00575cad1afa13bb9e94e5d92592b0f090e4

Pith citing papers

No inbound Pith citation observations are available.