Paper Citation Record · LEDGER

Evidence Networks: simple losses for fast, amortized, neural Bayesian model comparison

As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2305.11241.

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

pith.paper-citation-record.v1
2305.11241 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T23:37:30.047983Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-30T14:44:45.530718Z

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 d3785442-a183-464a-bccd-349a0038e544 · inbound

Statistical Patterns in the Equations of Physics and the Emergence of a Meta-Law of Nature cites this paper.

Statistical Patterns in the Equations of Physics and the Emergence of a Meta-Law of Nature Evidence Networks: simple losses for fast, amortized, neural Bayesian model comparison

Reference 36

Resolution: verified exact; arxiv_id, observed 2026-05-23T21:53:29.620878Z

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 aff14d5b-0315-443c-860c-c34cd9d6e5d0 · inbound

Optimizers for Stabilizing Likelihood-free Inference cites this paper.

Optimizers for Stabilizing Likelihood-free Inference Evidence Networks: simple losses for fast, amortized, neural Bayesian model comparison

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-09T23:37:30.047983Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 82abd5a1-26bf-4b02-bcc7-b45f826c4d9e · inbound

Bayesian inference constraints on jet quenching across centrality, beam energy, and observable classes in LHC heavy-ion collisions cites this paper.

Bayesian inference constraints on jet quenching across centrality, beam energy, and observable classes in LHC heavy-ion collisions Evidence Networks: simple losses for fast, amortized, neural Bayesian model comparison

Reference 120

Resolution: verified exact; arxiv_id, observed 2026-05-10T08:53:04.208499Z

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 7c97e49a-71ba-4657-8acf-7e7cea14cce7 · inbound

Detecting Gravitational-Wave Anisotropies with Simulation-Based Inference cites this paper.

Detecting Gravitational-Wave Anisotropies with Simulation-Based Inference Evidence Networks: simple losses for fast, amortized, neural Bayesian model comparison

Reference 32

Resolution: metadata mismatch; arxiv_id, observed 2026-06-30T14:44:45.532376Z

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 bac9566f-ccef-494e-9fdd-0726487103da · inbound

Machine Learning and the SKA for Cosmic Dawn and the Epoch of Reionization cites this paper.

Machine Learning and the SKA for Cosmic Dawn and the Epoch of Reionization Evidence Networks: simple losses for fast, amortized, neural Bayesian model comparison

Reference 254

Resolution: unresolved; no resolver link, observed 2026-07-12T01:14:24.457057Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e97e1987-99df-4d18-b0af-ef894610ca65 · inbound

Microlensing Detection and Inference via Learned Bayes Factors cites this paper.

Microlensing Detection and Inference via Learned Bayes Factors Evidence Networks: simple losses for fast, amortized, neural Bayesian model comparison

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-01T10:23:22.360458Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.