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Paper Citation Record · LEDGER

SEPose: A Synthetic Event-based Human Pose Estimation Dataset for Pedestrian Monitoring

As of 7 August 2026, this Paper Citation Record lists 33 of 33 outbound references and 0 inbound Pith citation observations for arXiv:2507.11910.

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

pith.paper-citation-record.v1
2507.11910 v1

Coverage vector

measured 33 of 33 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T17:02:05.944662Z

measured 33 of 33 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+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

33 of 33 outbound references displayed

  • verified exact0
  • verified fuzzy32
  • unresolved1
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation a55b4d69-9d9e-4be2-88c9-8cadbd1a9463 · outbound

This paper cites A 128 × 128 120 db 15 µs latency asynchronous temporal contrast vision sensor,.

SEPose: A Synthetic Event-based Human Pose Estimation Dataset for Pedestrian Monitoring A 128 × 128 120 db 15 µs latency asynchronous temporal contrast vision sensor,

Reference 1

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 042d6372-39d1-4ed2-b4fd-1a8b9010391e · outbound

This paper cites Recent event camera innovations: A survey,.

SEPose: A Synthetic Event-based Human Pose Estimation Dataset for Pedestrian Monitoring Recent event camera innovations: A survey,

Reference 2

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raw_fallback, observed 2026-08-06T17:02:06.270087Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T17:02:04.633446Z digest=sha256:4f2f1af5cf60af3c7de5610e8e387ebedb97a446c96e638fc60eca7aa711f5b6

Observation a5da682d-d44a-4d1a-a0d9-581d1ac2ef35 · outbound

This paper cites Event-based sensing for improved traffic detection and tracking in intelligent trans- port systems toward sustainable mobility,.

SEPose: A Synthetic Event-based Human Pose Estimation Dataset for Pedestrian Monitoring Event-based sensing for improved traffic detection and tracking in intelligent trans- port systems toward sustainable mobility,

Reference 3

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T17:02:04.689566Z digest=sha256:8575fbaeb574e80c09be4b867ae1cd50dcd277c3e550419be2b4e4f620049bae

Observation 766b150c-d722-4821-a5df-236953d6dae5 · outbound

This paper cites Ddd17: End-to-end davis driving dataset,.

SEPose: A Synthetic Event-based Human Pose Estimation Dataset for Pedestrian Monitoring Ddd17: End-to-end davis driving dataset,

Reference 4

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verified fuzzy
raw_fallback, observed 2026-08-06T17:02:06.251470Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T17:02:04.752368Z digest=sha256:e4a2fba51bef1a5842f520027acd38918492c4c5d6d9dc22f963b104162d21e9

Observation 853a947e-bdd6-4ad3-b822-541a0869d0b1 · outbound

This paper cites Dsec: A stereo event camera dataset for driving scenarios,.

SEPose: A Synthetic Event-based Human Pose Estimation Dataset for Pedestrian Monitoring Dsec: A stereo event camera dataset for driving scenarios,

Reference 5

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raw_fallback, observed 2026-08-06T17:02:06.242148Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T17:02:04.797041Z digest=sha256:8780d5141ae7e5e59158edc504e6ec5a023e1a7c861a2f2f39e8b9319ca65f35

Observation 56e910f7-0ab0-4ed0-a983-029d49afcab3 · outbound

This paper cites The multivehicle stereo event camera dataset: An event camera dataset for 3d perception,.

SEPose: A Synthetic Event-based Human Pose Estimation Dataset for Pedestrian Monitoring The multivehicle stereo event camera dataset: An event camera dataset for 3d perception,

Reference 6

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raw_fallback, observed 2026-08-06T17:02:06.232114Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T17:02:04.902462Z digest=sha256:c6b0f4cd5c0b034082e30ba6ad1190827ac73084d25a85df40cb23ce63eca98b

Observation 5230277b-8d89-4e89-a458-c44ff481ce58 · outbound

This paper cites Pedro: an event-based dataset for person detection in robotics,.

SEPose: A Synthetic Event-based Human Pose Estimation Dataset for Pedestrian Monitoring Pedro: an event-based dataset for person detection in robotics,

Reference 7

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raw_fallback, observed 2026-08-06T17:02:06.223400Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T17:02:04.968415Z digest=sha256:9c630d8c26e98510a38d3425e65c29ac2179521744f85b9e71a48e138819bb33

Observation a13ad176-867e-444f-b6e8-77ed128d6709 · outbound

This paper cites Dhp19: Dynamic vision sensor 3d human pose dataset,.

SEPose: A Synthetic Event-based Human Pose Estimation Dataset for Pedestrian Monitoring Dhp19: Dynamic vision sensor 3d human pose dataset,

Reference 8

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raw_fallback, observed 2026-08-06T17:02:06.215103Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T17:02:04.978323Z digest=sha256:0eb646430e7b95ba8f435b66b93c8b98eb2dee6af58662e6404a24325ee4f4f4

Observation c71dd31f-5c73-458c-9d38-85b1bed69df3 · outbound

This paper cites Large scale interactive motion forecasting for autonomous driving: The waymo open motion dataset,.

SEPose: A Synthetic Event-based Human Pose Estimation Dataset for Pedestrian Monitoring Large scale interactive motion forecasting for autonomous driving: The waymo open motion dataset,

Reference 9

Resolution
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raw_fallback, observed 2026-08-06T17:02:06.206810Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T17:02:04.981595Z digest=sha256:e826e434b43c36902671da39fb518e67bf8697150e3cfcbfe6f286c6734653e7

Observation 03a36d7e-5ac3-43c7-a6d1-844bf344f581 · outbound

This paper cites Carla: An open urban driving simulator,.

SEPose: A Synthetic Event-based Human Pose Estimation Dataset for Pedestrian Monitoring Carla: An open urban driving simulator,

Reference 10

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raw_fallback, observed 2026-08-06T17:02:06.197984Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T17:02:05.010543Z digest=sha256:d0e0d4fe683943a6cb10fcf9d093e63773d4df270d7e879d7fc8fd50222ca5a7

Observation 837f7bbd-ed03-43c2-bb57-a0ffc358f3b8 · outbound

This paper cites D 2-city: A large-scale dashcam video dataset of diverse traffic scenarios,.

SEPose: A Synthetic Event-based Human Pose Estimation Dataset for Pedestrian Monitoring D 2-city: A large-scale dashcam video dataset of diverse traffic scenarios,

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:02:06.189684Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T17:02:05.156055Z digest=sha256:a2f6fde3146405bfd420ac4558ae0c55538423453e0ecc57e4c8561e61b42064

Observation 597c4901-e0e7-4e87-8aa1-e215fa9e2782 · outbound

This paper cites Vision meets robotics: the kitti dataset,.

SEPose: A Synthetic Event-based Human Pose Estimation Dataset for Pedestrian Monitoring Vision meets robotics: the kitti dataset,

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:02:06.181472Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T17:02:05.317263Z digest=sha256:ddd6730ccec563a0abdaf2c6feb210b759363a3a7daca8889536e4ff03ecce91

Observation ec9a9523-7ad4-402f-bdf9-4e1639e3d423 · outbound

This paper cites Monocular pedestrian detection: survey and experiments.,.

SEPose: A Synthetic Event-based Human Pose Estimation Dataset for Pedestrian Monitoring Monocular pedestrian detection: survey and experiments.,

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:02:06.171938Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T17:02:05.407440Z digest=sha256:36afc6e97d6ceefa7ead3ddbb70207228935703ec417d263ea908a8d5781c6aa

Observation 67c606aa-b8c9-4fd3-ac7d-fe59106d2357 · outbound

This paper cites Rapid object detection using a boosted cascade of simple features,.

SEPose: A Synthetic Event-based Human Pose Estimation Dataset for Pedestrian Monitoring Rapid object detection using a boosted cascade of simple features,

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:02:06.163556Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T17:02:05.431351Z digest=sha256:45f464b081bdf2915048cfa8d2ea2fc734832d6b49c6b83f0dc5674f5d64ab31

Observation f25501df-1cea-4fa5-ad96-c8aaa7041c80 · outbound

This paper cites The cityscapes dataset for semantic urban scene understanding,.

SEPose: A Synthetic Event-based Human Pose Estimation Dataset for Pedestrian Monitoring The cityscapes dataset for semantic urban scene understanding,

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:02:06.152471Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T17:02:05.436205Z digest=sha256:6360d4b6bdc4571c73128fa6abf3837e740fd4fcb362bc4db142a38f60228271

Observation bc66fb2a-b18a-415a-a4b9-ccd757b9ca10 · outbound

This paper cites The apolloscape open dataset for autonomous driving and its application,.

SEPose: A Synthetic Event-based Human Pose Estimation Dataset for Pedestrian Monitoring The apolloscape open dataset for autonomous driving and its application,

Reference 16

Resolution
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raw_fallback, observed 2026-08-06T17:02:06.142879Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T17:02:05.447797Z digest=sha256:d2ff3e6e17121b82024311b314d9c771a9fd2afb62a8d6d8c83541d4ad7c06bf

Observation 72a0c7db-a691-4521-b5a2-b500ea42ff36 · outbound

This paper cites A2d2: Audi autonomous driving dataset,.

SEPose: A Synthetic Event-based Human Pose Estimation Dataset for Pedestrian Monitoring A2d2: Audi autonomous driving dataset,

Reference 17

Resolution
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raw_fallback, observed 2026-08-06T17:02:06.134278Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T17:02:05.501944Z digest=sha256:45c08bffeadf1e80223a3e99182fb4f39c8824c8b0194098651ac67fc23a8bec

Observation 5ccc165a-b0f1-4f2e-a006-a6c5b7104646 · outbound

This paper cites Real- time human motion tracking and reconstruction using imu sensors,.

SEPose: A Synthetic Event-based Human Pose Estimation Dataset for Pedestrian Monitoring Real- time human motion tracking and reconstruction using imu sensors,

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:02:06.125231Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T17:02:05.581830Z digest=sha256:d6c103d872019f72f44f447cc1ec0c3597361f4c53b1a39b68f5378a8d290014

Observation 6495616b-d6bb-4087-a0b1-9fba1096fcc4 · outbound

This paper cites Angular features-based human action recognition system for a real application with subtle unit actions,.

SEPose: A Synthetic Event-based Human Pose Estimation Dataset for Pedestrian Monitoring Angular features-based human action recognition system for a real application with subtle unit actions,

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:02:06.116415Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T17:02:05.636935Z digest=sha256:a9ea119d70fd904d948568ee8e89936be9adde0b51869189ce192a4e926040a1

Observation 5c43fc61-e440-43c0-9258-e409817e23e2 · outbound

This paper cites Stcrowd: A multimodal dataset for pedes- trian perception in crowded scenes,.

SEPose: A Synthetic Event-based Human Pose Estimation Dataset for Pedestrian Monitoring Stcrowd: A multimodal dataset for pedes- trian perception in crowded scenes,

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:02:06.107607Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T17:02:05.709000Z digest=sha256:b32698e1c5fa8f4f29a2cb5b0df2c9eb314af5032e1b08fd16ebfd53163ca96d

Observation ea2a0eb5-e94c-458d-8ddb-4cf786e3e129 · outbound

This paper cites SEVD: Synthetic Event-based Vision Dataset for Ego and Fixed Traffic Perception.

SEPose: A Synthetic Event-based Human Pose Estimation Dataset for Pedestrian Monitoring SEVD: Synthetic Event-based Vision Dataset for Ego and Fixed Traffic Perception

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-06T17:02:05.831908Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:02:05.831908Z digest=sha256:98de8baa0488356c75094b7b18adeab75def03ad64f208624c69f60998d3187b

Observation bf2172cc-77a4-4fe1-b122-2a985dafcb97 · outbound

This paper cites etram: Event-based traffic monitoring dataset,.

SEPose: A Synthetic Event-based Human Pose Estimation Dataset for Pedestrian Monitoring etram: Event-based traffic monitoring dataset,

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:02:06.098649Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T17:02:05.892713Z digest=sha256:34b321a40371b92e72e8490b1bd2a458274edfb3e04f9d4f44e0418bee961626

Observation 275e5c38-9d11-4ce6-b290-c4b85f1480c2 · outbound

This paper cites Crowd saliency detection via global similarity structure,.

SEPose: A Synthetic Event-based Human Pose Estimation Dataset for Pedestrian Monitoring Crowd saliency detection via global similarity structure,

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:02:06.089775Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T17:02:05.908503Z digest=sha256:f55a9e8aa35e204b2f948477d2d5eae72fcfd734529074894fece597c3724bf2

Observation ee387aff-46b3-4cdb-9956-99f718059597 · outbound

This paper cites Citypersons: A diverse dataset for pedestrian detection,.

SEPose: A Synthetic Event-based Human Pose Estimation Dataset for Pedestrian Monitoring Citypersons: A diverse dataset for pedestrian detection,

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:02:06.080596Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T17:02:05.911519Z digest=sha256:93500cee25f6e7436a134fb37b04fb4fba09f196c9929aeb47d134640d8dccb9

Observation 2ba68e1d-e672-438c-9999-57f6e2984e1c · outbound

This paper cites 2d human pose estimation with explicit anatomical keypoints structure constraints,.

SEPose: A Synthetic Event-based Human Pose Estimation Dataset for Pedestrian Monitoring 2d human pose estimation with explicit anatomical keypoints structure constraints,

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:02:06.071956Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T17:02:05.915364Z digest=sha256:791dc032b4e5776270ff2a1a09ff21a0a771bf1a0a4cf5c99f6491366a82fabd

Observation efbc11f1-7920-4fb5-9493-0963c0d01435 · outbound

This paper cites Watchped: Pedestrian crossing intention prediction using embedded sensors of smartwatch,.

SEPose: A Synthetic Event-based Human Pose Estimation Dataset for Pedestrian Monitoring Watchped: Pedestrian crossing intention prediction using embedded sensors of smartwatch,

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:02:06.053330Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T17:02:05.921812Z digest=sha256:8b7baaab4c7abc25a0404df19ebef9892abd570d11058f2b339f34eb0a9898cf

Observation 1a5a5412-fa9d-4b8f-8cc8-0ddf7753da9c · outbound

This paper cites Diving deeper into pedestrian behavior understanding: Intention estimation, action prediction, and event risk assessment,.

SEPose: A Synthetic Event-based Human Pose Estimation Dataset for Pedestrian Monitoring Diving deeper into pedestrian behavior understanding: Intention estimation, action prediction, and event risk assessment,

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:02:06.042165Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T17:02:05.925654Z digest=sha256:048f95e8342ac360db4cc07a7bee7c108a814c86d04fb6f4eaffafb54f0aceae

Observation ebe15188-5657-4404-a0d7-6e2263e8183b · outbound

This paper cites Cyclecrash: A dataset of bicycle collision videos for collision prediction and analysis,.

SEPose: A Synthetic Event-based Human Pose Estimation Dataset for Pedestrian Monitoring Cyclecrash: A dataset of bicycle collision videos for collision prediction and analysis,

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:02:06.031037Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T17:02:05.929033Z digest=sha256:c6e89039a779c5af12ed04f592689d97b31eab4cf736d9c8b58be33100f3d26b

Observation 9dc9bd9e-1255-489a-8d32-ad170e47453d · outbound

This paper cites Human3.6m: Large scale datasets and predictive methods for 3d human sensing in natural environments,.

SEPose: A Synthetic Event-based Human Pose Estimation Dataset for Pedestrian Monitoring Human3.6m: Large scale datasets and predictive methods for 3d human sensing in natural environments,

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:02:06.063018Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T17:02:05.932402Z digest=sha256:f8f3f3bff4c4b1b5d98262b644461ab5cd4391863559b81365f4c17816b3fa74

Observation 6250e867-4bbe-49c3-88f9-559688de9e97 · outbound

This paper cites Multi-agent long-term 3d human pose forecasting via interaction-aware trajectory conditioning,.

SEPose: A Synthetic Event-based Human Pose Estimation Dataset for Pedestrian Monitoring Multi-agent long-term 3d human pose forecasting via interaction-aware trajectory conditioning,

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:02:06.019258Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T17:02:05.935406Z digest=sha256:c77890a85e3bf6f04d572cf548bd3cce06778c8034627284d1c833837b7f70c0

Observation f4f4fce7-c1ce-47d3-953c-ee209d2640ed · outbound

This paper cites Unreal engine.

SEPose: A Synthetic Event-based Human Pose Estimation Dataset for Pedestrian Monitoring Unreal engine

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:02:06.009409Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T17:02:05.938383Z digest=sha256:7519433877dabebed7a051960874b65dcf9a5033a4149bd874c75254d8e3a3fb

Observation 5d3ed6d5-0e89-4933-9f40-41fca7d597c0 · outbound

This paper cites Recurrent vision transformers for object detection with event cameras,.

SEPose: A Synthetic Event-based Human Pose Estimation Dataset for Pedestrian Monitoring Recurrent vision transformers for object detection with event cameras,

Reference 33

Resolution
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raw_fallback, observed 2026-08-06T17:02:05.999166Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T17:02:05.941483Z digest=sha256:da0d191d7aee4bcf1055b02c123bcd7d485024124f084b33cf46689752a310a5

Observation 55382827-7753-4c06-af22-6f1ad231d6cc · outbound

This paper cites Yolox: Exceeding yolo series in 2021,.

SEPose: A Synthetic Event-based Human Pose Estimation Dataset for Pedestrian Monitoring Yolox: Exceeding yolo series in 2021,

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:02:05.988162Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T17:02:05.944662Z digest=sha256:5930c80ed169f0aafd73e817efacdae6feadc6abfd638a5497de59bfb6643981

Pith citing papers

No inbound Pith citation observations are available.