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Paper Citation Record · LEDGER

Number Systems for Deep Neural Network Architectures: A Survey

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2307.05035.

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

pith.paper-citation-record.v1
2307.05035 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 2026-08-18T06:34:40.430872+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-14T15:56:34.283388Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T11:26:54.595934Z

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 e78c94c1-7756-4399-a0c1-29c5acfb5e4b · inbound

GoldenFloat: A Phi-Derived Static-Split Floating-Point Family from GF4 to GF1024 with a Lucas-Exact Integer Identity cites this paper.

GoldenFloat: A Phi-Derived Static-Split Floating-Point Family from GF4 to GF1024 with a Lucas-Exact Integer Identity Number Systems for Deep Neural Network Architectures: A Survey

Reference 18

Resolution
verified exact
arxiv_id, observed 2026-07-02T11:26:54.597720Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-06-28T03:47:27.000639Z digest=sha256:5c2e3bed79e23a58158e43b6d694d5cdc5efa64f3bbf1f89d22a064617795cb2

Observation bfb08b91-10be-4905-b6a6-43f7ac29d06d · inbound

WINT: A Novel Weighted Integer Representation with Improved Error Characteristics cites this paper.

WINT: A Novel Weighted Integer Representation with Improved Error Characteristics Number Systems for Deep Neural Network Architectures: A Survey

Reference 9

Resolution
unresolved
no resolver link, observed 2026-07-14T15:56:34.283388Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T15:56:34.283388Z digest=sha256:addc1369a56233d04b6d7efe331429a98fcf3efa649246c4364c72be561c4ddd