Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Evidence Networks: simple losses for fast, amortized, neural Bayesian model comparison
As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2305.11241.
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 2026-08-20T06:33:59.587034+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-11T11:47:20.935612Z
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 2026-08-20T06:33:59.587034+00:00.
Observation 1c53dc93-8fe2-4151-a6f0-d5bd9a1011d8 · inbound
Tests for model misspecification in simulation-based inference: from local distortions to global model checks cites this paper.
Tests for model misspecification in simulation-based inference: from local distortions to global model checks Evidence Networks: simple losses for fast, amortized, neural Bayesian model comparison
Reference 17
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T11:47:20.935612Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
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 2026-08-20T06:33:59.587034+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 2026-08-20T06:33:59.587034+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.