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Paper Citation Record · LEDGER

Direct Bethe Free Energy Minimization for Bayesian Neural Networks

As of 12 August 2026, this Paper Citation Record lists 8 of 8 outbound references and 0 inbound Pith citation observations for arXiv:2605.08446.

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

pith.paper-citation-record.v1
2605.08446 v4

Coverage vector

measured 8 of 8 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-02T14:38:39.543037Z

measured 8 of 8 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

8 of 8 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved6
  • parse uncertain0
  • malformed identifier2
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation db984dbb-f6be-4ccd-a8eb-8a051fc8b60f · outbound

This paper cites an unresolved cited work.

Direct Bethe Free Energy Minimization for Bayesian Neural Networks Unresolved cited work

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-02T14:38:39.291333Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T14:38:39.291333Z digest=sha256:20d68d86997bfdfa2460f188f8a430e1f40743ea324f35903f8ebd45e5eed892

Observation ed374f04-1cd0-448c-a267-7bdf2f88bbf4 · outbound

This paper cites The UCI headline is full-batch; the large-scale runs sum the data term over a mini-batch.

Direct Bethe Free Energy Minimization for Bayesian Neural Networks The UCI headline is full-batch; the large-scale runs sum the data term over a mini-batch

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-02T14:38:38.952199Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T14:38:38.952199Z digest=sha256:8b1a9697d4800bdb6dbacae83901987d9d1da9816258dfeb65033677eaf2714c

Observation 4710a7dc-f9cf-4139-9275-6f477c9fb368 · outbound

This paper cites an unresolved cited work.

Direct Bethe Free Energy Minimization for Bayesian Neural Networks Unresolved cited work

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-02T14:38:39.023615Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T14:38:39.023615Z digest=sha256:0400f4e927f0ef303bab7141bfbfcaeef3007f9d5c87711fdd663c8b368f0910

Observation db92aa33-422a-4e62-8b3d-1917de0bd3a3 · outbound

This paper cites Predictive consistency (Proposition 2).By Gibbs’ inequality Ey∼p[−logm] =H(p) + KL(p∥m)≥ H(p), with equality iff m=p.

Direct Bethe Free Energy Minimization for Bayesian Neural Networks Predictive consistency (Proposition 2).By Gibbs’ inequality Ey∼p[−logm] =H(p) + KL(p∥m)≥ H(p), with equality iff m=p

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-02T14:38:39.162891Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T14:38:39.162891Z digest=sha256:6f8ad3ccf66eb80af560dc1ce28dc32785f429dd9c1738dfc85443d5fe703b84

Observation 0b6a1761-5222-4cc1-a6d7-8fd66f237e74 · outbound

This paper cites an unresolved cited work.

Direct Bethe Free Energy Minimization for Bayesian Neural Networks Unresolved cited work

Reference 7

Resolution
malformed identifier
no resolver link, observed 2026-08-02T14:38:39.433238Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T14:38:39.433238Z digest=sha256:b4bc8b63eed5f49c160b2d3ccb4cb1c2640766533215c658169b15bbffd851cc

Observation 91ac29b7-1127-48fb-bf5e-88e3f38f92fc · outbound

This paper cites evidence-optimal is not predictive-optimal.

Direct Bethe Free Energy Minimization for Bayesian Neural Networks evidence-optimal is not predictive-optimal

Reference 8

Resolution
malformed identifier
no resolver link, observed 2026-08-02T14:38:39.543037Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T14:38:39.543037Z digest=sha256:56080440baf604a05ea238fbd2d0f050532355053bdd95fa95c61e31c051a4ae

Observation 33b6badb-dd63-4226-9d8a-8157db216edf · outbound

This paper cites On Feature Collapse and Deep Kernel Learning for Single Forward Pass Uncertainty.

Direct Bethe Free Energy Minimization for Bayesian Neural Networks On Feature Collapse and Deep Kernel Learning for Single Forward Pass Uncertainty

Reference 2001

Resolution
unresolved
no resolver link, observed 2026-08-02T14:38:38.788683Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T14:38:38.788683Z digest=sha256:44bf306bd6f6ac924bc34313a89bfae227a93d042dfc5e68dc5e35a1dc3534a7

Observation 80e5c15c-52f0-4d31-b1f8-9ec9880dd7d2 · outbound

This paper cites Richer Bayesian Last Layers with Subsampled NTK Features.

Direct Bethe Free Energy Minimization for Bayesian Neural Networks Richer Bayesian Last Layers with Subsampled NTK Features

Reference 2016

Resolution
unresolved
no resolver link, observed 2026-08-02T14:38:38.676472Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T14:38:38.676472Z digest=sha256:807d91dbec082bbd009fb48d233981de74886a181c2b88e6fdb04b868f1ec000

Pith citing papers

No inbound Pith citation observations are available.