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Paper Citation Record · LEDGER

On the Parameterization and Initialization of Diagonal State Space Models

As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 16 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 16 of 16 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 16 of 16 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T20:23:10.652744Z

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-11T10:41:55.618357Z digest=sha256:ed5fb8ef84316a042f4f9d976bbbc33fd636dd7b3dd18d77c7cdb96af8de0813

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.

source=pdf_text observed=2026-08-12T20:23:10.652744Z digest=sha256:c484c8b406eac617c225e88e1d71c62946986eba65ff55d19444cf64264715f2

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.

source=pdf_text observed=2026-08-10T18:01:27.501830Z digest=sha256:5e1a952ae4b2d973d758d84ddf82a238c6b7baf70513129052aceaf1138ede79

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-22T22:37:32.448805Z digest=sha256:1cb60e79d53d6b67e5f0e0dab8143bb563ecbf3a68138e63b8d0368b02e50a26

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.

source=pdf_text observed=2026-08-07T12:25:16.824887Z digest=sha256:7a7a492594a15fdf60d7d28739140a465c0730064cc43d79efdbfd2e2bcd21de

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.

source=pdf_text observed=2026-08-06T15:20:07.738897Z digest=sha256:2fe3fbd753d4278433a26030ac7290269b5e43f7c27f387ba8c8dbe22a92e601

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.

source=pdf_text observed=2026-08-04T11:25:32.289193Z digest=sha256:6cc99d67922be2be8692dbe51b05665ebcb17e0f1198c03363c2db66486f58a3

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-05-10T04:45:43.948266Z digest=sha256:8ea7a5c86bedf0ca9d6e235e9c28448974e8eec6dfbf1e61d394a2bded4e494b

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-11T02:06:43.213172Z digest=sha256:9eb67ccd3ce1285eac20df4a254c4902b025756db14c4df91a534016af17982d

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-14T21:33:57.316891Z digest=sha256:74faee7fdd0a21e84c823fed7f62e0e609e1c826e20cd42e95c050f6a5a7b62b

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-05-21T05:29:58.809024Z digest=sha256:47cf57afdc80dad8a5eab61d43a633f2060f97583dac392fcdcfb4893bc59598

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-06-27T12:08:57.506333Z digest=sha256:7d061ce0dc8fad440e1615f482766541f0f23895bca8b60a1de9fd7b646f1847

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.

source=pdf_text observed=2026-07-14T14:50:03.831572Z digest=sha256:54a551b09c08b1db2a77f8c5c0391c8e8f8d6636d36ed09c7449e9f865bcd357

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.

source=pdf_text observed=2026-07-14T11:45:09.424370Z digest=sha256:66a374d1e768de3382d8ebb48e54c186ae5c1597d37a7967d35fbd474b6fcca4

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.

source=arxiv_source observed=2026-08-01T10:52:22.810795Z digest=sha256:f131d54c246e4ac8f5b5894cb60f672800caf6bbf471fc6469d50a0c19274021

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.

source=pdf_text observed=2026-07-30T16:23:26.854375Z digest=sha256:33ec6d5118b284e9578ce9b739c683b74fe5c141bade1cb1bbbc9e53773662ec