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Paper Citation Record · LEDGER

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

As of 17 August 2026, this Paper Citation Record lists 33 of 33 outbound references and 1 inbound Pith citation observation 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 34 of 34 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T17:06:35.334907Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-15T17:06:35.892304Z

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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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+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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verified fuzzy
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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T17:02:04.633446Z digest=sha256:d98cdbf5d059e90c572fab04c1b0e1404886bb0b4a3817705b422534a8a2c353

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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raw_fallback, observed 2026-08-06T17:02:06.259727Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T17:02:04.689566Z digest=sha256:375e35a818b81131d2cdcfa333917e21cde3271dc4772b8ca19039e7e34c2045

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

Resolution
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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T17:02:04.752368Z digest=sha256:75dd77de0cf8916b770728c59ed2bc2dbbe5ccdf5a867c03e782c206b0b7f934

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

Resolution
verified fuzzy
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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T17:02:04.797041Z digest=sha256:197a038fb09d8ccf4ba8f3b0f9bf45e250bf9a6681a451a7231872c930e25db8

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

Resolution
verified fuzzy
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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T17:02:04.902462Z digest=sha256:d646621e02e66df3e798fced85d255a2a3e5edddf7bfb829708cf2d3bb2c6858

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

Resolution
verified fuzzy
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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T17:02:04.968415Z digest=sha256:9f740844fd3e501319a7065d32c5e14be729afec09375050d8dbc96bf3ff5727

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

Resolution
verified fuzzy
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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T17:02:04.978323Z digest=sha256:f0b03e40ba746d14df49913e8906f9071fdde193f27288476970472a4df43bc9

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
verified fuzzy
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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T17:02:04.981595Z digest=sha256:8404bf0f49f06cea678ff15c450007f58960234111ad786b960bde5d078736d6

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

Resolution
verified fuzzy
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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T17:02:05.010543Z digest=sha256:2a5219f7439519bba7846afb92a41805c18992fe3c49f67e13ddecf3f6c03ecb

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T17:02:05.156055Z digest=sha256:0460c17bbbcbad9c987738b1ba262022eb59838044a155d02fedc8ee5f82965a

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T17:02:05.317263Z digest=sha256:8caa739141bdbea411430fe3be281a756246672f07765d7df5b4501e8fb78db2

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T17:02:05.407440Z digest=sha256:2460ce3813bdf9dc65919604ca98ea26dbf1e161cad6045448726ff834760e8b

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T17:02:05.431351Z digest=sha256:2e384aeb5b75ad975ac4f518dccf136f6d016802c8dcb372c798ccd7838ff15b

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T17:02:05.436205Z digest=sha256:a32460c642f4b562cdfe1b35340bc18d11508c485cdfe1401e6f0e4c408ebc5f

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
verified fuzzy
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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T17:02:05.447797Z digest=sha256:0b00219c5d4a8f547cbefca0c03953bd6dfefed99cca824fdce199f0080c725d

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
verified fuzzy
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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T17:02:05.501944Z digest=sha256:3d698973e0dc67e794bed15ad9ebc1986bf5ae4753504825fead72044a4a54a8

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T17:02:05.581830Z digest=sha256:5a5aae27030b9248d00b3eceddfc02bb2f89658ab3ab2787800b988ee736d345

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T17:02:05.636935Z digest=sha256:86966d82b46374542a7b51a6db6c5d07f0d7b2a0abdf3f0ef28eb54b92409c3b

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T17:02:05.709000Z digest=sha256:37d14b27813b6b94834ee822699873181d025e08e4b33c151be534f8a2e978a0

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=sha256:4354c22dc1306988636224c0bc11a0ee816b9a34c128d57c2ad2026aa433fde7

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T17:02:05.892713Z digest=sha256:e68751c2969fb820e476e868551226d772ac32686aad44d9d3e000b1604c2666

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T17:02:05.908503Z digest=sha256:395c9b259e0d0d87d08cf0546a0d50d8ae76eeb128a1699b330ba483548cf327

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T17:02:05.911519Z digest=sha256:b14330baa498e71d9db3e487595f346d10074bb5508c7198bb8d8a5cf3f1db37

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T17:02:05.915364Z digest=sha256:0e665394093d144c76b5c2bc66b3474ae786fc4244ee358f46b1b5233aff0b3d

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T17:02:05.921812Z digest=sha256:f377ff9a3cb27648365b2c0e752323b86c18b8e39d32ba1c318d1d8d53c7d9c7

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T17:02:05.925654Z digest=sha256:960f4fadd79b38e9585a9e7936376122a3d9ec6e65fc4632b8084aaca7cdb2e7

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T17:02:05.929033Z digest=sha256:f65612fe40c6a11ba1d4c6fee277c7647f3f71c3a91bdf877ff063eaa37231b8

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T17:02:05.932402Z digest=sha256:1b90c2197f67ccb3c4420562a4ee39014f380d3e73ff872e92afa59ae12ec8f0

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T17:02:05.935406Z digest=sha256:ea1f4922762cdeaf2fbaaf28466bbcd1c749e8a2bb3be67140d2ccb57f9f2e28

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T17:02:05.938383Z digest=sha256:6cf87da4acbdfbf2bc5105f6c59c9a0e7f96e366232238f9783b4a819312a3ae

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
verified fuzzy
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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T17:02:05.941483Z digest=sha256:975b5a96da2c2069f8b955e8d508c73cca654c3f302abcc1ecefad81575c06d4

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T17:02:05.944662Z digest=sha256:76386609a922077eb88fd9e2f5d565862b8ce5b5fccbcf3c9ce8e57e894ee56d

Pith citing papers

Observation b1423884-fa31-4e6a-a27c-7977e5d28284 · inbound

SEBVS: Synthetic Event-based Visual Servoing for Robot Navigation and Manipulation cites this paper.

SEBVS: Synthetic Event-based Visual Servoing for Robot Navigation and Manipulation SEPose: A Synthetic Event-based Human Pose Estimation Dataset for Pedestrian Monitoring

Reference 7

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local_arxiv, observed 2026-08-15T17:06:35.900596Z

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-15T17:06:35.334907Z digest=sha256:ed97b459d0b37c788c1e0a521d468298d5dd525f46e4f3ff639c3d1f0dc8935b