Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
The Yin-Yang dataset
As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2102.08211.
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 2026-08-08T06:32:00.761636+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-07-13T03:18:58.883951Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-07-09T23:06:37.332903Z
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 a685757f-11f3-479c-8c6f-eba39af1cfa4 · inbound
Physical Neural Networks Need Nonlinearity, Amplification, and Suppression for Learning cites this paper.
Physical Neural Networks Need Nonlinearity, Amplification, and Suppression for Learning The Yin-Yang dataset
Reference 30
- Resolution
- verified exact
- arxiv_id, observed 2026-07-04T14:59:55.528092Z
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.
Observation fe73dfc1-7d29-4423-9050-5b9a421066b7 · inbound
Intrinsic-Noise Consolidation: A Doob-Barrier-Conditioned Diffusion Turns Analog Device Noise into a Continual-Learning Resource cites this paper.
Intrinsic-Noise Consolidation: A Doob-Barrier-Conditioned Diffusion Turns Analog Device Noise into a Continual-Learning Resource The Yin-Yang dataset
Reference 8
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-07-09T23:06:37.334101Z
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.
Observation 43f1b1f4-f99f-4c43-b5a7-76d92c1f648b · inbound
Fully Trainable Deep Differentiable Logic Gate Networks and Lookup Table Networks cites this paper.
Fully Trainable Deep Differentiable Logic Gate Networks and Lookup Table Networks The Yin-Yang dataset
Reference 7
- Resolution
- unresolved
- no resolver link, observed 2026-07-13T03:18:58.883951Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.