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Paper Citation Record · LEDGER

A Differentiable Recurrent Surface for Asynchronous Event-Based Data

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2001.03455.

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

pith.paper-citation-record.v1
2001.03455 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T20:59:23.798789Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T13:43:05.168770Z

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 b0a120c2-dbed-4ac4-9f10-a58b6a525ea7 · inbound

AW-GATCN: Adaptive Weighted Graph Attention Convolutional Network for Event Camera Data Joint Denoising and Object Recognition cites this paper.

AW-GATCN: Adaptive Weighted Graph Attention Convolutional Network for Event Camera Data Joint Denoising and Object Recognition A Differentiable Recurrent Surface for Asynchronous Event-Based Data

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-15T20:59:23.798789Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:59:23.798789Z digest=sha256:9d68ab05d8611b01897e849fe431918b230dd013ee55e2d69e80d65a19d1d95f

Observation 7ffe0839-1242-483b-a991-08eda4742b0b · inbound

Making Every Event Count: Balancing Data Efficiency and Accuracy in Event Camera Subsampling cites this paper.

Making Every Event Count: Balancing Data Efficiency and Accuracy in Event Camera Subsampling A Differentiable Recurrent Surface for Asynchronous Event-Based Data

Reference 6

Resolution
verified exact
local_arxiv, observed 2026-08-07T13:43:05.257922Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-07T13:42:56.976713Z digest=sha256:c52c80da8af48eba8f018086bbc078eb6e6164e2908847c6cf542e9b660404fd