Paper Citation Record · LEDGER

How to Train Your HiPPO: State Space Models with Generalized Orthogonal Basis Projections

As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 19 inbound Pith citation observations for arXiv:2206.12037.

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

pith.paper-citation-record.v1
2206.12037 v2

Coverage vector

measured 0 of 0 reference resolution

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Source: paper_references, paper_reference_links

measured 19 of 19 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00

measured 19 of 19 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T15:04:38.313140Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-22T22:12:11.820672Z

Reference resolution

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External citation measurements

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Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 764ea1e2-8cb9-4570-8db9-89c023959d2a · inbound

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

Efficiently Modeling Long Sequences with Structured State Spaces How to Train Your HiPPO: State Space Models with Generalized Orthogonal Basis Projections

Reference 20

Resolution: verified exact; arxiv_id, observed 2026-05-11T10:41:55.822523Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation b186d0c2-01e1-4625-b083-68b6d5c77a3f · inbound

Medusa: Simple LLM Inference Acceleration Framework with Multiple Decoding Heads cites this paper.

Medusa: Simple LLM Inference Acceleration Framework with Multiple Decoding Heads How to Train Your HiPPO: State Space Models with Generalized Orthogonal Basis Projections

Reference 258

Resolution: metadata mismatch; arxiv_id, observed 2026-05-13T10:36:18.071939Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 09a57c98-b247-42a1-9310-ca1db2210724 · inbound

Fast convolution algorithm for state space models cites this paper.

Fast convolution algorithm for state space models How to Train Your HiPPO: State Space Models with Generalized Orthogonal Basis Projections

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-12T15:04:38.313140Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 32c7b4c1-b7de-406a-a8d0-fd57eff928b7 · inbound

U-Mamba-Net: A highly efficient Mamba-based U-net style network for noisy and reverberant speech separation cites this paper.

U-Mamba-Net: A highly efficient Mamba-based U-net style network for noisy and reverberant speech separation How to Train Your HiPPO: State Space Models with Generalized Orthogonal Basis Projections

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-11T04:58:49.135961Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0907e0c9-ad32-4942-8bc0-2cc1ce5183a1 · inbound

PTQ4VM: Post-Training Quantization for Visual Mamba cites this paper.

PTQ4VM: Post-Training Quantization for Visual Mamba How to Train Your HiPPO: State Space Models with Generalized Orthogonal Basis Projections

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-10T23:26:35.265275Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dd6a2829-5bc1-4f5a-897c-8eee0cf5a9c5 · 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 How to Train Your HiPPO: State Space Models with Generalized Orthogonal Basis Projections

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-10T22:50:28.614831Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a6cf0807-6d00-444c-b3c9-fdf01d23436b · inbound

End-to-end workflow for machine learning-based qubit readout with QICK and hls4ml cites this paper.

End-to-end workflow for machine learning-based qubit readout with QICK and hls4ml How to Train Your HiPPO: State Space Models with Generalized Orthogonal Basis Projections

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-10T14:58:53.904416Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 845beaca-b00b-46d7-aa82-b78bca54f53f · inbound

Video Latent Flow Matching: Optimal Polynomial Projections for Video Interpolation and Extrapolation cites this paper.

Video Latent Flow Matching: Optimal Polynomial Projections for Video Interpolation and Extrapolation How to Train Your HiPPO: State Space Models with Generalized Orthogonal Basis Projections

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-09T18:51:12.412377Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 90a6ec13-90d0-445a-a162-9d49dcbf74fb · inbound

Advancing Intelligent Sequence Modeling: Evolution, Trade-offs, and Applications of State-Space Architectures from S4 to Mamba cites this paper.

Advancing Intelligent Sequence Modeling: Evolution, Trade-offs, and Applications of State-Space Architectures from S4 to Mamba How to Train Your HiPPO: State Space Models with Generalized Orthogonal Basis Projections

Reference 32

Resolution: verified exact; arxiv_id, observed 2026-05-22T22:12:11.824004Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation c3070e2f-7df1-4deb-bc57-a698f5c316b0 · inbound

W4S4: WaLRUS Meets S4 for Long-Range Sequence Modeling cites this paper.

W4S4: WaLRUS Meets S4 for Long-Range Sequence Modeling How to Train Your HiPPO: State Space Models with Generalized Orthogonal Basis Projections

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-07T05:29:04.893078Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 028c2a8c-1219-4463-9689-3fde4833d163 · inbound

Quantizing Small-Scale State-Space Models for Edge AI cites this paper.

Quantizing Small-Scale State-Space Models for Edge AI How to Train Your HiPPO: State Space Models with Generalized Orthogonal Basis Projections

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-07T00:54:51.803736Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fecf06d3-a9c6-4b2c-96e3-2a51a91d8c31 · inbound

Few-Shot Object Detection via Spatial-Channel State Space Model cites this paper.

Few-Shot Object Detection via Spatial-Channel State Space Model How to Train Your HiPPO: State Space Models with Generalized Orthogonal Basis Projections

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-06T15:39:16.270918Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a7472cbd-1e59-45c9-baa7-a868f37e5550 · inbound

LIDAR: Lightweight Adaptive Cue-Aware Fusion Vision Mamba for Multimodal Segmentation of Structural Cracks cites this paper.

LIDAR: Lightweight Adaptive Cue-Aware Fusion Vision Mamba for Multimodal Segmentation of Structural Cracks How to Train Your HiPPO: State Space Models with Generalized Orthogonal Basis Projections

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-06T11:40:54.550541Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 36d470db-2011-4a20-aa58-e732e55ed890 · inbound

FlexiD-Fuse: Flexible number of inputs multi-modal medical image fusion based on diffusion model cites this paper.

FlexiD-Fuse: Flexible number of inputs multi-modal medical image fusion based on diffusion model How to Train Your HiPPO: State Space Models with Generalized Orthogonal Basis Projections

Reference 75

Resolution: unresolved; no resolver link, observed 2026-08-04T19:09:04.953194Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0b72a891-a3d7-4ead-a1fb-efcace071b4e · 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 How to Train Your HiPPO: State Space Models with Generalized Orthogonal Basis Projections

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-04T11:25:32.615213Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e2976167-54f9-4d0e-b323-96685edc5a20 · inbound

DeMa: Dual-Path Delay-Aware Mamba for Efficient Multivariate Time Series Analysis cites this paper.

DeMa: Dual-Path Delay-Aware Mamba for Efficient Multivariate Time Series Analysis How to Train Your HiPPO: State Space Models with Generalized Orthogonal Basis Projections

Reference 42

Resolution: verified exact; arxiv_id, observed 2026-05-21T16:24:15.956045Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation d48e4456-9b55-47f2-9df5-5f4d25812f58 · inbound

Structured State-Space Regularization for Generation-Friendly Image Tokenization cites this paper.

Structured State-Space Regularization for Generation-Friendly Image Tokenization How to Train Your HiPPO: State Space Models with Generalized Orthogonal Basis Projections

Reference 22

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T09:41:01.185134Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation aa3d907e-b930-49d9-8a6d-4c5d7afda66c · inbound

Structured State-Space Regularization for Generation-Friendly Image Tokenization cites this paper.

Structured State-Space Regularization for Generation-Friendly Image Tokenization How to Train Your HiPPO: State Space Models with Generalized Orthogonal Basis Projections

Reference 22

Resolution: metadata mismatch; arxiv_id, observed 2026-05-21T00:43:53.651431Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 3aca7b17-c0e0-4cde-893a-94d95edf695e · inbound

Continuity Laws for Sequential Models cites this paper.

Continuity Laws for Sequential Models How to Train Your HiPPO: State Space Models with Generalized Orthogonal Basis Projections

Reference 18

Resolution: metadata mismatch; arxiv_id, observed 2026-05-12T07:56:26.560993Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.