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Paper Citation Record · LEDGER

The High-Dimensional Geometry of Binary Neural Networks

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1705.07199.

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

pith.paper-citation-record.v1
1705.07199 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 2026-08-08T06:32:00.761636+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-01T01:19:06.588783Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-04T08:19:44.229720Z

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 6d5cf53f-2d53-4d4f-8f3a-f257680c1f7b · inbound

On the Expressive Power of Weight Quantization in Large Language Models cites this paper.

On the Expressive Power of Weight Quantization in Large Language Models The High-Dimensional Geometry of Binary Neural Networks

Reference 3

Resolution
verified exact
local_arxiv, observed 2026-07-04T08:19:44.230870Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-26T11:53:45.787243Z digest=sha256:64f0d40945e08b4fefc61ac08c32c5cfd80086d3a124df7ec522461ca27f685e

Observation 5b2888f4-704f-4233-893b-9da5b7ee8046 · inbound

VAD to the Bone: Ultra-Tiny Speech Activity Detection for Edge Deployment cites this paper.

VAD to the Bone: Ultra-Tiny Speech Activity Detection for Edge Deployment The High-Dimensional Geometry of Binary Neural Networks

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-01T01:19:06.588783Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T01:19:06.588783Z digest=sha256:9e534e69b5591356ea5a2292d03c7532dbceb1de434eb8623c38c5299c9789dc