Paper Citation Record · LEDGER

On the Parameterization and Initialization of Diagonal State Space Models

As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 17 inbound Pith citation observations for arXiv:2206.11893.

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

pith.paper-citation-record.v1
2206.11893 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 17 of 17 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 17 of 17 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T05:58:22.703568Z

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

73
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 95d9b849-9854-4fcb-9d06-684b2eae7381 · inbound

Efficiently Modeling Long Sequences with Structured State Spaces cites this paper.

Efficiently Modeling Long Sequences with Structured State Spaces On the Parameterization and Initialization of Diagonal State Space Models

Reference 19

Resolution: verified exact; arxiv_id, observed 2026-05-11T10:41:55.948491Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 26068a56-e7bd-4d83-86b3-0b450cf90861 · 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 On the Parameterization and Initialization of Diagonal State Space Models

Reference 130

Resolution: unresolved; no resolver link, observed 2026-08-12T20:23:10.652744Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ca68dadc-1ee9-4b1b-9557-60b125e04052 · inbound

SeRpEnt: Selective Resampling for Expressive State Space Models cites this paper.

SeRpEnt: Selective Resampling for Expressive State Space Models On the Parameterization and Initialization of Diagonal State Space Models

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-10T18:01:27.501830Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 73e6555a-f5d5-4366-8b81-feae7317678f · inbound

L2RU: a Structured State Space Model with prescribed L2-bound cites this paper.

L2RU: a Structured State Space Model with prescribed L2-bound On the Parameterization and Initialization of Diagonal State Space Models

Reference 24

Resolution: verified exact; arxiv_id, observed 2026-05-22T22:42:13.746781Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation dc70b5e6-007d-49ff-8086-144bf1262750 · inbound

Quantifying Memory Utilization with Effective State-Size cites this paper.

Quantifying Memory Utilization with Effective State-Size On the Parameterization and Initialization of Diagonal State Space Models

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-16T05:58:22.703568Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b23be43a-d229-4763-8e00-ec90826594fa · inbound

ACM-UNet: Adaptive Integration of CNNs and Mamba for Efficient Medical Image Segmentation cites this paper.

ACM-UNet: Adaptive Integration of CNNs and Mamba for Efficient Medical Image Segmentation On the Parameterization and Initialization of Diagonal State Space Models

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-07T12:25:16.824887Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 64ebe64b-361f-43d7-81cc-190513cc7106 · inbound

Explicit Context Reasoning with Supervision for Visual Tracking cites this paper.

Explicit Context Reasoning with Supervision for Visual Tracking On the Parameterization and Initialization of Diagonal State Space Models

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-06T15:20:07.738897Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e5cd7f7f-2c94-448a-9b37-b2fad641dc99 · inbound

Rivaling Transformers: Multi-Scale Structured State-Space Mixtures for Agentic 6G O-RAN cites this paper.

Rivaling Transformers: Multi-Scale Structured State-Space Mixtures for Agentic 6G O-RAN On the Parameterization and Initialization of Diagonal State Space Models

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-04T11:25:32.289193Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 53230b25-5156-4f7e-9eaa-fc041d062a0a · inbound

Sessa: Selective State Space Attention cites this paper.

Sessa: Selective State Space Attention On the Parameterization and Initialization of Diagonal State Space Models

Reference 47

Resolution: metadata mismatch; arxiv_id, observed 2026-05-10T04:50:22.988241Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 83800b5e-505d-4f35-9840-3be2cd48987c · inbound

Does Your Neural Network Extrapolate? Feature Engineering as Identifiability Bias for OOD Generalization cites this paper.

Does Your Neural Network Extrapolate? Feature Engineering as Identifiability Bias for OOD Generalization On the Parameterization and Initialization of Diagonal State Space Models

Reference 3

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T02:10:52.947623Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 14d8927f-35ff-4c6d-a343-4cdff1167222 · inbound

Does Your Neural Network Extrapolate? Feature Engineering as Identifiability Bias for OOD Generalization cites this paper.

Does Your Neural Network Extrapolate? Feature Engineering as Identifiability Bias for OOD Generalization On the Parameterization and Initialization of Diagonal State Space Models

Reference 3

Resolution: metadata mismatch; arxiv_id, observed 2026-05-14T21:37:59.536680Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation fc05c6ee-418c-485d-8430-bf15b4a7b21e · inbound

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

Towards Understanding Self-Pretraining for Sequence Classification On the Parameterization and Initialization of Diagonal State Space Models

Reference 22

Resolution: metadata mismatch; arxiv_id, observed 2026-05-21T05:33:58.233886Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 42d07ec1-3798-4c82-b217-eeb707780c9d · inbound

Free Parametrization of L_2-Bounded Structured State-Space Controllers for Nonlinear Control with Stability Guarantees cites this paper.

Free Parametrization of L_2-Bounded Structured State-Space Controllers for Nonlinear Control with Stability Guarantees On the Parameterization and Initialization of Diagonal State Space Models

Reference 32

Resolution: verified exact; arxiv_id, observed 2026-06-27T12:10:53.800523Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation eb9750c7-3e0d-4fc7-839b-8fdb8b61542a · inbound

Remembering Distinct Items, Not Tokens: A Learnable Dirichlet-Process Cache Between State-Space Models and Attention cites this paper.

Remembering Distinct Items, Not Tokens: A Learnable Dirichlet-Process Cache Between State-Space Models and Attention On the Parameterization and Initialization of Diagonal State Space Models

Reference 10

Resolution: unresolved; no resolver link, observed 2026-07-14T14:50:03.831572Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 149f7e92-7517-465d-bd5e-e044d83ef52b · inbound

Context by Distinct Information: An Auditable Dirichlet-Process Working Memory for Long, Redundant Context Streams cites this paper.

Context by Distinct Information: An Auditable Dirichlet-Process Working Memory for Long, Redundant Context Streams On the Parameterization and Initialization of Diagonal State Space Models

Reference 3

Resolution: unresolved; no resolver link, observed 2026-07-14T11:45:09.424370Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 77dc787e-b2a4-4aea-b6d9-12e6f86bc3a1 · inbound

Cumsum-Composable Phase Transport for Low-Cost Streaming Keyword Spotting cites this paper.

Cumsum-Composable Phase Transport for Low-Cost Streaming Keyword Spotting On the Parameterization and Initialization of Diagonal State Space Models

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-01T10:52:22.810795Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a246eaec-4e7d-4219-b535-27b6a464e2e6 · inbound

No Free Lunch in Flow Surrogates under Time-Varying Boundary Conditions: A Two-Regime Study cites this paper.

No Free Lunch in Flow Surrogates under Time-Varying Boundary Conditions: A Two-Regime Study On the Parameterization and Initialization of Diagonal State Space Models

Reference 62

Resolution: unresolved; no resolver link, observed 2026-07-30T16:23:26.854375Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.