Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Randomized Forward Mode Gradient for Spiking Neural Networks in Scientific Machine Learning
As of 12 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2411.07057.
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 2026-08-12T06:34:41.77262+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-10T22:31:41.732995Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-25T02:25:14.800031Z
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 750daeed-92eb-4398-88dd-dd29c50c874e · inbound
Operator Learning for Reconstructing Flow Fields from Sparse Measurements: an Energy Transformer Approach cites this paper.
Operator Learning for Reconstructing Flow Fields from Sparse Measurements: an Energy Transformer Approach Randomized Forward Mode Gradient for Spiking Neural Networks in Scientific Machine Learning
Reference 11
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T22:31:41.732995Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 92a7aa8b-1631-4043-af84-67d186eaadc6 · inbound
Operator Learning for Reconstructing Flow Fields from Sparse Measurements: a Language Model Approach cites this paper.
Operator Learning for Reconstructing Flow Fields from Sparse Measurements: a Language Model Approach Randomized Forward Mode Gradient for Spiking Neural Networks in Scientific Machine Learning
Reference 10
- Resolution
- verified exact
- arxiv_id, observed 2026-05-25T02:25:14.803465Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.