Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Towards a theory of learning dynamics in deep state space models
As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2407.07279.
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 2026-08-18T06:34:40.430872+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-15T21:49:30.513445Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-15T20:36:25.894130Z
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 999523ec-8554-4f8d-8fb1-964684819c74 · inbound
Block-Biased Mamba for Long-Range Sequence Processing cites this paper.
Block-Biased Mamba for Long-Range Sequence Processing Towards a theory of learning dynamics in deep state space models
Reference 76
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T21:49:30.513445Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 15dd3402-f3fb-499c-998e-6ebb3961650c · inbound
Learning Robust Spectral Dynamics for Temporal Domain Generalization cites this paper.
Learning Robust Spectral Dynamics for Temporal Domain Generalization Towards a theory of learning dynamics in deep state space models
Reference 31
- Resolution
- verified exact
- local_arxiv, observed 2026-08-15T20:36:25.899653Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation a231f0db-76d4-4f2d-a1b5-f1eba368e3b7 · inbound
AutoNeural: Co-Designing Vision-Language Models for NPU Inference cites this paper.
AutoNeural: Co-Designing Vision-Language Models for NPU Inference Towards a theory of learning dynamics in deep state space models
Reference 48
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T18:57:00.986982Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.