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Paper Citation Record · LEDGER

Neural Arithmetic Logic Units

As of 5 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:1808.00508.

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

pith.paper-citation-record.v1
1808.00508 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 2026-08-05T06:32:48.257954+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-24T20:59:29.331934Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-05-24T20:59:54.534367Z

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 fbffb613-de82-46d0-be40-7e44872e55e1 · inbound

Perception of visual numerosity in humans and machines cites this paper.

Perception of visual numerosity in humans and machines Neural Arithmetic Logic Units

Reference 67

Resolution
verified exact
local_arxiv, observed 2026-05-24T20:59:54.537636Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-24T20:59:29.331934Z digest=sha256:f534a34e003e89e6b123fabdba9c18ef54e517cc833ff2e002933b16cb80d861

Observation a73ffd11-4081-4b1b-9b54-ae55b6c7a61c · inbound

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

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

Reference 93

Resolution
verified exact
arxiv_id, observed 2026-05-13T02:39:29.994500Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-13T02:39:29.411021Z digest=sha256:88eff7c76f50f893ad63910c6336fb0dc7331701cf2620a984a9c4b56109ce28

Observation eb37ce2e-6fc0-42e2-ac38-5967d8fbb26a · inbound

PRIMETIME : Limits of LLMs in Temporal Primitives cites this paper.

PRIMETIME : Limits of LLMs in Temporal Primitives Neural Arithmetic Logic Units

Reference 10

Resolution
verified exact
local_arxiv, observed 2026-05-22T18:36:58.941830Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-22T18:36:48.376877Z digest=sha256:af472b61a053c1cbb524aab84798e91bf046ed59f10a0f74862aaaec34996fe3