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Paper Citation Record · LEDGER

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

As of 10 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 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+00:00.

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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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T17:02:04.689566Z digest=sha256:ec217ce326199793ef7c8f96d388b64948a3accefeefa2570167b277efdc3685

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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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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T17:02:04.752368Z digest=sha256:f0f14aed1d29f54471d8e8780da3f9abc59da3ca2c5aa22c416467e113f1d7de

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T17:02:04.797041Z digest=sha256:801a3401177123525691e05ff3932e570ebdfab864d4d66c99bcffd4c380f2df

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T17:02:04.902462Z digest=sha256:6f61d204ee9ccc033ce53a26c3bf1854cbab94c9dfe44c91dd1ec3a7b318e41c

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T17:02:04.968415Z digest=sha256:b6d182d41334385477c58df24bd178925b58304bf571c1920cb5795118d8bc88

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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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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T17:02:04.978323Z digest=sha256:d57a4fa4bc5c04d7b4b5d1c4327b3896939eb9cbac262f296bf8b0e58eee2914

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T17:02:04.981595Z digest=sha256:6317580da795870a7c4350753e3f2baaaf2ac767be27d3aea1e41cdc7029189d

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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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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T17:02:05.010543Z digest=sha256:004dd7efe914a721abe43efe7c598d530087140423c059fe7c0a3ee700e29adb

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T17:02:05.156055Z digest=sha256:103af7b7f336fbec41abd4f096796d8e4313031c6b734f13ba7a6f599d1c523b

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T17:02:05.317263Z digest=sha256:5ab929a26d88a9252058662d4d933263a29b54bad2f2e9cd14e284cedfd5e7aa

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T17:02:05.407440Z digest=sha256:197afda6bf2d6df46d292d28af12e0fb9edeae80be80b67410e64eb3885075b7

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

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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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T17:02:05.431351Z digest=sha256:ad7e6172af6075cd1380e1d1718f66d5dce6d3b12ae20e9c4f3dd657e845f4f7

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

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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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T17:02:05.436205Z digest=sha256:3b274c291c905c5a13431e4252655c13468660a0fba1faa442435d172d09e797

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T17:02:05.447797Z digest=sha256:d070f3334d62651b265834cba2277e45b7bc26895014b3bd5d1664680b98569e

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T17:02:05.501944Z digest=sha256:28f24e46fdf225ed29c5cd732beef76cbb7f5e45be336fc486531d2bd63740d1

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T17:02:05.581830Z digest=sha256:417f0110abd88af70c44ccf18bdd725b7355566e26e72571b20513f0b7930f5c

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T17:02:05.636935Z digest=sha256:28edfc8498a29e1b542b1ff701a4373e817dc70a23f811c7d8988ab6af70f27e

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T17:02:05.709000Z digest=sha256:c43869183f6cddd4efb3450e548a8191f45a5a97dcad5223b59b106f4e147870

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=sha256:500a559e62ccc43b184245a18e44f726a4dba379cd6e373223c9bf6589b65f32

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T17:02:05.892713Z digest=sha256:8d4f95a7d048e7f8a9c1c5d3cc878c590de5d7a4b438dd810104066a7e2ffd09

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T17:02:05.908503Z digest=sha256:b573b0b4ef6f30a22ec2b4bc1fbaac295abe841a64e12b594f31f1cbdfb892cc

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T17:02:05.911519Z digest=sha256:93afff6a30fda953494e0f14ea6abeed4a27510b9b7e9f8951930e718c5cf342

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T17:02:05.915364Z digest=sha256:7f9afb0092a85badab182417a426f5e576fdc728632a6c9ca3048b062c74ceda

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T17:02:05.921812Z digest=sha256:bbc28b00a475d84d723207da84cf97d8d6daabcc01c569b5644f4594137a3e5c

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
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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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T17:02:05.925654Z digest=sha256:f8be8f8a3dd1843cd5db0061a59410fd4e4050cd8983f88b107c50de121c7091

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T17:02:05.929033Z digest=sha256:ef3aec6f9914bbb2dce5727ad7f8db714c19cc8d8a5322b79c02789304a686d2

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T17:02:05.932402Z digest=sha256:7d3cb1e5f4d51d5445726a158304ecc7e3cfff2a92bd7c2d749192f0ab5b7c74

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T17:02:05.935406Z digest=sha256:6b3d4a174ecb1c4cfb6b83a3cc8c891a8fc9bd42934b2bbfaf4d6c802689598d

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T17:02:05.938383Z digest=sha256:1565a3074c84d8ab8cd4d4151d5257254c443c75bc14f1cce57834258b009f07

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T17:02:05.941483Z digest=sha256:d23eacec6b5f14879339ab255a43e21a629899c12dbdb56803ac55a5a597cf02

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T17:02:05.944662Z digest=sha256:82fa1bc5cf9388377b54468f41182a14fb00c799335189e7ddca846672a4d35a

Pith citing papers

No inbound Pith citation observations are available.