Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Bayesian RG Flow in Neural Network Field Theories
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2405.17538.
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 2026-08-07T21:18:53.954118Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-22T00:14:27.993276Z
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 a4217cb4-7933-4218-bffb-e7afde6b9562 · inbound
Journey from the Wilson exact RG towards the Wegner-Morris Fokker-Planck RG and the Carosso field-coarsening via Langevin stochastic processes cites this paper.
Journey from the Wilson exact RG towards the Wegner-Morris Fokker-Planck RG and the Carosso field-coarsening via Langevin stochastic processes Bayesian RG Flow in Neural Network Field Theories
Reference 80
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T21:18:53.954118Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation dbaafae9-92b0-4075-afb5-dd29fe9f6e8c · inbound
Viability of perturbative expansion for quantum field theories on neurons cites this paper.
Viability of perturbative expansion for quantum field theories on neurons Bayesian RG Flow in Neural Network Field Theories
Reference 35
- Resolution
- verified exact
- arxiv_id, observed 2026-05-22T00:14:27.995676Z
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 9a6382b6-26bd-4e95-8e8a-f3a2235b3800 · inbound
Bulk-boundary decomposition of neural networks cites this paper.
Bulk-boundary decomposition of neural networks Bayesian RG Flow in Neural Network Field Theories
Reference 41
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T00:22:01.162183Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0efffba3-01a4-49bf-bfe7-e92757c5f2cb · inbound
Optimal Architecture and Fundamental Bounds in Neural Network Field Theory cites this paper.
Optimal Architecture and Fundamental Bounds in Neural Network Field Theory Bayesian RG Flow in Neural Network Field Theories
Reference 13
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T09:46:28.076912Z
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 8b7ece23-c9f1-4cc4-ba79-20cb995d598d · inbound
Pre-Strings Lectures on Artificial Intelligence cites this paper.
Pre-Strings Lectures on Artificial Intelligence Bayesian RG Flow in Neural Network Field Theories
Reference 69
- Resolution
- unresolved
- no resolver link, observed 2026-07-12T06:14:03.658427Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.