Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
A deep learning theory for neural networks grounded in physics
As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2103.09985.
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 2026-08-10T06:31:04.303077+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T23:43:37.958943Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-03T00:07:28.281479Z
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 f25ca100-d99b-42a8-a5d4-623ae8897412 · inbound
A First-order Generative Bilevel Optimization Framework for Diffusion Models cites this paper.
A First-order Generative Bilevel Optimization Framework for Diffusion Models A deep learning theory for neural networks grounded in physics
Reference 55
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T23:43:37.958943Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 68c1e823-8c1b-4b05-b129-dc60f9fe134d · inbound
Perturbative Contrastive Physical Learning cites this paper.
Perturbative Contrastive Physical Learning A deep learning theory for neural networks grounded in physics
Reference 13
- Resolution
- verified exact
- arxiv_id, observed 2026-07-03T00:07:28.292684Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 741a7ed9-8a72-4f9b-9627-e7661f091ae6 · inbound
Optimization under Persistent State-Dependent Bias: Gradient-based Method and Complexity Analysis cites this paper.
Optimization under Persistent State-Dependent Bias: Gradient-based Method and Complexity Analysis A deep learning theory for neural networks grounded in physics
Reference 284
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T00:57:28.573083Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.