Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
AntisymmetricRNN: A Dynamical System View on Recurrent Neural Networks
As of 12 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:1902.09689.
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 2026-08-12T20:23:10.289637Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-07T05:27:08.377186Z
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 7faac380-5a83-43b0-896c-265d1f182091 · inbound
The Good, The Efficient and the Inductive Biases: Exploring Efficiency in Deep Learning Through the Use of Inductive Biases cites this paper.
The Good, The Efficient and the Inductive Biases: Exploring Efficiency in Deep Learning Through the Use of Inductive Biases AntisymmetricRNN: A Dynamical System View on Recurrent Neural Networks
Reference 42
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T20:23:10.289637Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6510ce91-6ec5-4d0f-9287-1c8929c19fc5 · inbound
Analog classical simulation of closed quantum systems cites this paper.
Analog classical simulation of closed quantum systems AntisymmetricRNN: A Dynamical System View on Recurrent Neural Networks
Reference 79
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T15:59:24.342781Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e3982352-d0f7-46c0-b14f-7a2fff41db7c · inbound
Temporal Chunking Enhances Recognition of Implicit Sequential Patterns cites this paper.
Temporal Chunking Enhances Recognition of Implicit Sequential Patterns AntisymmetricRNN: A Dynamical System View on Recurrent Neural Networks
Reference 28
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T12:14:21.509192Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 982fa725-cb70-4d15-9d92-ca4f5eea2ce7 · inbound
Temporal horizons in forecasting: a performance-learnability trade-off cites this paper.
Temporal horizons in forecasting: a performance-learnability trade-off AntisymmetricRNN: A Dynamical System View on Recurrent Neural Networks
Reference 12
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T11:02:56.729571Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 85581ed9-7284-4859-adc2-c471a900c7c8 · inbound
Hyperpruning: Efficient Search through Pruned Variants of Recurrent Neural Networks Leveraging Lyapunov Spectrum cites this paper.
Hyperpruning: Efficient Search through Pruned Variants of Recurrent Neural Networks Leveraging Lyapunov Spectrum AntisymmetricRNN: A Dynamical System View on Recurrent Neural Networks
Reference 65
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-08-07T05:27:08.380777Z
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.
Observation 8758c36e-d8a7-48a6-8166-0562399aa850 · inbound
Universal Approximation Theorems for Dynamical Systems with Infinite-Time Horizon Guarantees cites this paper.
Universal Approximation Theorems for Dynamical Systems with Infinite-Time Horizon Guarantees AntisymmetricRNN: A Dynamical System View on Recurrent Neural Networks
Reference 16
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T03:21:48.759368Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.