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Paper Citation Record · LEDGER

Weight Sparsity Complements Activity Sparsity in Neuromorphic Language Models

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:2405.00433.

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

pith.paper-citation-record.v1
2405.00433 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 1 of 1 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 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T15:48:57.345397Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-09T15:48:57.864104Z

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 918acf82-4e64-4c48-a3ae-86d587d43531 · inbound

Accelerating Linear Recurrent Neural Networks for the Edge with Unstructured Sparsity cites this paper.

Accelerating Linear Recurrent Neural Networks for the Edge with Unstructured Sparsity Weight Sparsity Complements Activity Sparsity in Neuromorphic Language Models

Reference 38

Resolution
metadata mismatch
local_arxiv, observed 2026-08-09T15:48:57.867395Z

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=arxiv_source observed=2026-08-09T15:48:57.345397Z digest=sha256:def62f241bcb6bcf5803444336129d70ced77dd6b1ab967643e1db78e734534f