Paper Citation Record · LEDGER

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

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 14 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

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 14 of 14 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 14 of 14 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T18:51:12.412377Z

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

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
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malformed identifier0
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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 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 2026-08-09T06:31:02.800959+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 2026-08-09T06:31:02.800959+00:00.

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 2026-08-09T06:31:02.800959+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 2026-08-09T06:31:02.800959+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 2026-08-09T06:31:02.800959+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 2026-08-09T06:31:02.800959+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 2026-08-09T06:31:02.800959+00:00.