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Paper Citation Record · LEDGER

SEVD: Synthetic Event-based Vision Dataset for Ego and Fixed Traffic Perception

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2404.10540.

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

pith.paper-citation-record.v1
2404.10540 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T00:32:00.519333Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T13:28:19.608052Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation a80024f8-1a6e-4c74-866c-bf2818d3bf92 · inbound

How Real is CARLAs Dynamic Vision Sensor? A Study on the Sim-to-Real Gap in Traffic Object Detection cites this paper.

How Real is CARLAs Dynamic Vision Sensor? A Study on the Sim-to-Real Gap in Traffic Object Detection SEVD: Synthetic Event-based Vision Dataset for Ego and Fixed Traffic Perception

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-07T00:32:00.519333Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:32:00.519333Z digest=sha256:73afef08465f823b2390f549e7cc9f9764c6383edf51e95391119c6fb454eec2

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

SEPose: A Synthetic Event-based Human Pose Estimation Dataset for Pedestrian Monitoring cites this paper.

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 1ebcde2f-3f2f-4683-933c-74874c21cc35 · inbound

Event-based Graph Representation with Spatial and Motion Vectors for Asynchronous Object Detection cites this paper.

Event-based Graph Representation with Spatial and Motion Vectors for Asynchronous Object Detection SEVD: Synthetic Event-based Vision Dataset for Ego and Fixed Traffic Perception

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-06T15:43:51.945186Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:43:51.945186Z digest=sha256:b13d4fa60f7967e01cde8694998f87e2d6612c5bc1039bf75200e4f676cd3540

Observation 4ff5f5b2-29c7-4ba6-9a94-ae9865381380 · inbound

DIMOS: Disentangling Instance-level Moving Object Segmentation cites this paper.

DIMOS: Disentangling Instance-level Moving Object Segmentation SEVD: Synthetic Event-based Vision Dataset for Ego and Fixed Traffic Perception

Reference 1

Resolution
verified exact
arxiv_id, observed 2026-07-03T13:28:19.609863Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-27T07:52:04.707076Z digest=sha256:a0a50c9c4dd4706ac6b532a67d29ebcf86b73c51b883b0866cf7059e520e0d60

Observation be66ad67-22d7-4d73-a90e-cf78d9cc0d16 · inbound

Event-RGB Adaptive Tracking for Nighttime Highway Perception cites this paper.

Event-RGB Adaptive Tracking for Nighttime Highway Perception SEVD: Synthetic Event-based Vision Dataset for Ego and Fixed Traffic Perception

Reference 23

Resolution
unresolved
no resolver link, observed 2026-07-14T04:08:37.491436Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T04:08:37.491436Z digest=sha256:abdd04c289cc6264fdeb9f73d2d1eff349c37ca2a3b432cedfdbdc6cd65fd0c6