Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Universal Approximation Theorems of Fully Connected Binarized Neural Networks
As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2102.02631.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-06-26T11:53:45.787243Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-04T08:19:44.256458Z
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 d1bc908e-b1e4-4507-b279-57237eac260d · inbound
Closing the Theory-Practice Gap in Spiking Transformers via Effective Dimension cites this paper.
Closing the Theory-Practice Gap in Spiking Transformers via Effective Dimension Universal Approximation Theorems of Fully Connected Binarized Neural Networks
Reference 32
- Resolution
- verified exact
- arxiv_id, observed 2026-05-10T09:23:36.892767Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation a06f545f-b4e5-46bb-8aed-33ee6f4a5e25 · 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 Universal Approximation Theorems of Fully Connected Binarized Neural Networks
Reference 43
- Resolution
- verified exact
- arxiv_id, observed 2026-07-04T08:19:44.258016Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.