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Paper Citation Record · LEDGER

Neural Arithmetic Units

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2001.05016.

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

pith.paper-citation-record.v1
2001.05016 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T06:03:39.159075Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-01T22:06:16.797030Z

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 d4860152-e58a-4513-900f-c82c7a65386c · inbound

Geometric Deep Learning: Grids, Groups, Graphs, Geodesics, and Gauges cites this paper.

Geometric Deep Learning: Grids, Groups, Graphs, Geodesics, and Gauges Neural Arithmetic Units

Reference 52

Resolution
verified exact
arxiv_id, observed 2026-05-13T02:39:29.772640Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-13T02:39:29.411021Z digest=sha256:6e33346b01235ef5032a027df85174e19a81c6773b9b538d59648827b18985c6

Observation 46494d91-6338-4fdf-b62d-723379ea97f3 · inbound

A Synthetic Pseudo-Autoencoder Invites Examination of Tacit Assumptions in Neural Network Design cites this paper.

A Synthetic Pseudo-Autoencoder Invites Examination of Tacit Assumptions in Neural Network Design Neural Arithmetic Units

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-07T06:03:39.159075Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T06:03:39.159075Z digest=sha256:101d3e7dc8c4482d0fd759a8177ab7bda9e1a9238ba602f14693aa11958d6695

Observation da0145d4-46f8-4c3f-a30e-9d38963f4a52 · inbound

TabPrep: Closing the Feature Engineering Gap in Tabular Benchmarks cites this paper.

TabPrep: Closing the Feature Engineering Gap in Tabular Benchmarks Neural Arithmetic Units

Reference 70

Resolution
verified exact
arxiv_id, observed 2026-07-01T22:06:16.798478Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-28T15:43:46.621365Z digest=sha256:32b26b541c036ad85b41b89dc3aa4db859d284bf1ca968d4727730e8f76b4460