Paper Citation Record · LEDGER

Combining Recurrent, Convolutional, and Continuous-time Models with Linear State-Space Layers

As of 12 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2110.13985.

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

pith.paper-citation-record.v1
2110.13985 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 8 of 8 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T22:50:28.610398Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

81
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation c5a0c96b-00ce-474f-bd18-908286c0dd71 · inbound

Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution cites this paper.

Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution Combining Recurrent, Convolutional, and Continuous-time Models with Linear State-Space Layers

Reference 123

Resolution: verified exact; arxiv_id, observed 2026-05-16T08:12:31.521973Z

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 88053a4a-d765-4db2-bff6-67d63ddc683d · inbound

Gated Linear Attention Transformers with Hardware-Efficient Training cites this paper.

Gated Linear Attention Transformers with Hardware-Efficient Training Combining Recurrent, Convolutional, and Continuous-time Models with Linear State-Space Layers

Reference 30

Resolution: metadata mismatch; arxiv_id, observed 2026-05-15T01:15:14.115356Z

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 283b746e-b320-4c1b-bf46-a6f3ebf6f618 · inbound

Adjoint sharding for very long context training of state space models cites this paper.

Adjoint sharding for very long context training of state space models Combining Recurrent, Convolutional, and Continuous-time Models with Linear State-Space Layers

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-10T22:50:28.610398Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ad2e031d-d97c-4a8e-b484-50b62786a7fc · inbound

UnHiPPO: Uncertainty-aware Initialization for State Space Models cites this paper.

UnHiPPO: Uncertainty-aware Initialization for State Space Models Combining Recurrent, Convolutional, and Continuous-time Models with Linear State-Space Layers

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-07T10:31:24.492995Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 65df7100-3749-4739-9ec3-a26dafd2faa1 · inbound

Scaling Legal AI: Benchmarking Mamba and Transformers for Statutory Classification and Case Law Retrieval cites this paper.

Scaling Legal AI: Benchmarking Mamba and Transformers for Statutory Classification and Case Law Retrieval Combining Recurrent, Convolutional, and Continuous-time Models with Linear State-Space Layers

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-05T13:58:41.056169Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 62f6e43b-8a8c-40c1-b756-0d12e737eeee · inbound

On Sequence-to-Sequence Models for Automated Log Parsing cites this paper.

On Sequence-to-Sequence Models for Automated Log Parsing Combining Recurrent, Convolutional, and Continuous-time Models with Linear State-Space Layers

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-03T03:35:14.050759Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 91cb05ed-0380-44ff-974d-9d6d3065bf55 · inbound

VEMamba: Efficient Isotropic Reconstruction of Volume Electron Microscopy with Axial-Lateral Consistent Mamba cites this paper.

VEMamba: Efficient Isotropic Reconstruction of Volume Electron Microscopy with Axial-Lateral Consistent Mamba Combining Recurrent, Convolutional, and Continuous-time Models with Linear State-Space Layers

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-02T19:49:44.304597Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eebaa734-378c-4e53-9a93-806be7f1b174 · inbound

Parallel Scan Recurrent Neural Quantum States for Scalable Variational Monte Carlo cites this paper.

Parallel Scan Recurrent Neural Quantum States for Scalable Variational Monte Carlo Combining Recurrent, Convolutional, and Continuous-time Models with Linear State-Space Layers

Reference 27

Resolution: verified exact; arxiv_id, observed 2026-05-14T17:42:32.329965Z

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.