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Paper Citation Record · LEDGER

HFirst: A Temporal Approach to Object Recognition

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1508.01176.

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

pith.paper-citation-record.v1
1508.01176 v1

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 2026-08-22T06:32:14.747728+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T20:59:23.813735Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T13:43:04.384769Z

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 564aca77-cb1a-408e-9fb1-6e12298f043a · 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 HFirst: A Temporal Approach to Object Recognition

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-15T20:59:23.813735Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:59:23.813735Z digest=sha256:327350b7a7b72d2444b35f821e095c4a54e6b5b17ce67513038a26e6055322bb

Observation ad060d84-97e5-4567-9c1d-bbd8da9a2f68 · 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 HFirst: A Temporal Approach to Object Recognition

Reference 40

Resolution
verified exact
local_arxiv, observed 2026-08-07T13:43:04.472712Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-07T13:43:02.121510Z digest=sha256:d1e5131dd0c61937c4fd8acbe76fd508a7759c966a6518597d5db0de037f7e8a