Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Equivariant Flows: Exact Likelihood Generative Learning for Symmetric Densities
As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2006.02425.
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 2026-08-11T06:34:44.6726+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-11T04:33:45.020302Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-01T19:16:00.700568Z
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 4c0fb954-5707-4528-b79f-280ddc137ff2 · inbound
Learning Broken Symmetries with Approximate Invariance cites this paper.
Learning Broken Symmetries with Approximate Invariance Equivariant Flows: Exact Likelihood Generative Learning for Symmetric Densities
Reference 12
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T04:33:45.020302Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 983a0aed-15e2-4fe3-b1e9-d07083c0fd41 · inbound
Simulating the Hubbard Model with Equivariant Normalizing Flows cites this paper.
Simulating the Hubbard Model with Equivariant Normalizing Flows Equivariant Flows: Exact Likelihood Generative Learning for Symmetric Densities
Reference 24
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T20:48:33.784857Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 603257de-7c45-4b80-b6a5-584b5c0cf9e5 · inbound
Scalable Inference-Time Annealing with Surrogate Likelihood Estimators cites this paper.
Scalable Inference-Time Annealing with Surrogate Likelihood Estimators Equivariant Flows: Exact Likelihood Generative Learning for Symmetric Densities
Reference 23
- Resolution
- verified exact
- arxiv_id, observed 2026-07-01T19:16:00.702436Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.