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Paper Citation Record · LEDGER

Bayesian Inference with Deep Weakly Nonlinear Networks

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2405.16630.

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

pith.paper-citation-record.v1
2405.16630 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T11:54:36.887888Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T05:39:40.966276Z

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 69b556e7-2555-4f97-a301-e677cd4c1b19 · inbound

Deep Linear Network Training Dynamics from Random Initialization: Data, Width, Depth, and Hyperparameter Transfer cites this paper.

Deep Linear Network Training Dynamics from Random Initialization: Data, Width, Depth, and Hyperparameter Transfer Bayesian Inference with Deep Weakly Nonlinear Networks

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-09T11:54:36.887888Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T11:54:36.887888Z digest=sha256:9eb55ae3c717d38f3a129ef5bcc35c80fbcb05cf2dd8641bbc30a7d28f1790da

Observation 8a561c06-8a4f-40f2-8a49-e53ad12014a0 · inbound

Statistical Properties of Training & Generalization cites this paper.

Statistical Properties of Training & Generalization Bayesian Inference with Deep Weakly Nonlinear Networks

Reference 185

Resolution
verified exact
arxiv_id, observed 2026-07-04T05:39:40.968446Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-06-26T15:35:51.654392Z digest=sha256:6052cb5b24304370c0fdef944de3f672ea879975ae767a7c4d3b409ec9c373d9

Observation 73223ad3-f853-4743-9eb2-bb1d07e6b605 · inbound

Statistical Properties of Training & Generalization cites this paper.

Statistical Properties of Training & Generalization Bayesian Inference with Deep Weakly Nonlinear Networks

Reference 185

Resolution
verified exact
arxiv_id, observed 2026-07-02T21:57:25.592104Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-07-02T21:51:13.457071Z digest=sha256:f699bc7d316cd778fdde2c94254d87740a3ad569f5bff32c6bec9c41191bf73a

Observation 77710fc2-32d7-46d6-b4c5-bda85e00540c · inbound

Geometric Dyson Brownian Motions and the Free Log-Normal Limit for a Non-Square Gaussian Matrix Product cites this paper.

Geometric Dyson Brownian Motions and the Free Log-Normal Limit for a Non-Square Gaussian Matrix Product Bayesian Inference with Deep Weakly Nonlinear Networks

Reference 59

Resolution
metadata mismatch
arxiv_id, observed 2026-07-01T12:45:44.989822Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-07-01T01:42:14.145227Z digest=sha256:98d48823cb85f6d75014689d5a7c124d215a963edc1801cb0f2474641e91de78

Observation 3ca29cd7-7720-4b5b-abb3-b5965d2a5a6c · inbound

Geometric Dyson Brownian Motions and the Free Log-Normal Limit for a Non-Square Gaussian Matrix Product cites this paper.

Geometric Dyson Brownian Motions and the Free Log-Normal Limit for a Non-Square Gaussian Matrix Product Bayesian Inference with Deep Weakly Nonlinear Networks

Reference 59

Resolution
unresolved
no resolver link, observed 2026-08-02T09:36:54.031660Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T09:36:54.031660Z digest=sha256:981918d068139caa93add6b30b8d89c025d06a531a95bab218e3761976ae2769