Paper Citation Record · LEDGER

Provable Benefits of Complex Parameterizations for Structured State Space Models

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2410.14067.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2410.14067 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T22:10:15.914320Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-05-21T05:33:58.921758Z

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 8a1729de-bea0-4ad2-b717-173cf24fcef0 · inbound

An Uncertainty Principle for Linear Recurrent Neural Networks cites this paper.

An Uncertainty Principle for Linear Recurrent Neural Networks Provable Benefits of Complex Parameterizations for Structured State Space Models

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-07T22:10:15.914320Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 042a100e-a669-4a55-9007-5bb7b6c2076d · inbound

Robust Filter Attention: Self-Attention as Precision-Weighted State Estimation cites this paper.

Robust Filter Attention: Self-Attention as Precision-Weighted State Estimation Provable Benefits of Complex Parameterizations for Structured State Space Models

Reference 71

Resolution: metadata mismatch; arxiv_id, observed 2026-05-18T19:01:46.073939Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation e0c44415-83ff-4ea7-8dd3-31b6ed03742a · inbound

Robust Filter Attention: Self-Attention as Precision-Weighted State Estimation cites this paper.

Robust Filter Attention: Self-Attention as Precision-Weighted State Estimation Provable Benefits of Complex Parameterizations for Structured State Space Models

Reference 71

Resolution: unresolved; no resolver link, observed 2026-08-05T10:25:17.190562Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 57e62e05-60df-4c8b-b95d-4b5022cecb5c · inbound

Towards Understanding Self-Pretraining for Sequence Classification cites this paper.

Towards Understanding Self-Pretraining for Sequence Classification Provable Benefits of Complex Parameterizations for Structured State Space Models

Reference 120

Resolution: verified exact; arxiv_id, observed 2026-05-21T05:33:58.923486Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.