Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Autoencoder-driven Spiral Representation Learning for Gravitational Wave Surrogate Modelling
As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2107.04312.
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 2026-08-07T06:34:17.273281+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-04T13:34:57.537206Z
A source-named dated measurement, never combined with another source.
Source: cited_works
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 6e96b6f5-5934-4eb8-87b8-f3d0d7624033 · inbound
Chase Orbits, not Time: A Scalable Paradigm for Long-Duration Eccentric Gravitational-Wave Surrogates cites this paper.
Chase Orbits, not Time: A Scalable Paradigm for Long-Duration Eccentric Gravitational-Wave Surrogates Autoencoder-driven Spiral Representation Learning for Gravitational Wave Surrogate Modelling
Reference 89
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T13:34:57.537206Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f04a11c8-782e-4090-ae87-2471537bcf6b · inbound
Fast, accurate, and differentiable: a neural-network surrogate for NRSur7dq4 precessing binary black hole waveforms cites this paper.
Fast, accurate, and differentiable: a neural-network surrogate for NRSur7dq4 precessing binary black hole waveforms Autoencoder-driven Spiral Representation Learning for Gravitational Wave Surrogate Modelling
Reference 87
- Resolution
- unresolved
- no resolver link, observed 2026-07-31T04:58:16.933456Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.