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Paper Citation Record · LEDGER

NeuroBench: A Framework for Benchmarking Neuromorphic Computing Algorithms and Systems

As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2304.04640.

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

pith.paper-citation-record.v1
2304.04640 v5

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 2026-08-13T06:32:02.005865+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T04:49:33.668843Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T18:38:19.043515Z

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 a1f4b646-aae2-47f4-9855-efc0cadb2583 · inbound

Energy Aware Development of Neuromorphic Implantables: From Metrics to Action cites this paper.

Energy Aware Development of Neuromorphic Implantables: From Metrics to Action NeuroBench: A Framework for Benchmarking Neuromorphic Computing Algorithms and Systems

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-07T04:49:33.668843Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:49:33.668843Z digest=sha256:9bcbe47c1c1a1ed7a343afffa957ca498ffd8d8c6100165c09f2399f25e0fa0a

Observation 85b0dc49-9c3a-440a-81a2-933b70e6cbc0 · inbound

EEvAct: Early Event-Based Action Recognition with High-Rate Two-Stream Spiking Neural Networks cites this paper.

EEvAct: Early Event-Based Action Recognition with High-Rate Two-Stream Spiking Neural Networks NeuroBench: A Framework for Benchmarking Neuromorphic Computing Algorithms and Systems

Reference 46

Resolution
verified exact
local_arxiv, observed 2026-08-06T18:38:19.129025Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-06T18:38:18.657204Z digest=sha256:13ceb3a1b92d00ce69e41cf0d96d84447cbad3a3e658f53c5c73c35e3cf1abdc