Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Diagonal State Spaces are as Effective as Structured State Spaces
As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2203.14343.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-06T15:20:07.799580Z
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
64
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 78785bab-5c36-422e-9ead-b514a7e8c1c2 · inbound
Gated Linear Attention Transformers with Hardware-Efficient Training cites this paper.
Gated Linear Attention Transformers with Hardware-Efficient Training Diagonal State Spaces are as Effective as Structured State Spaces
Reference 32
- Resolution
- verified exact
- arxiv_id, observed 2026-05-15T01:15:14.047422Z
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 d39db7d6-21ef-4e9a-b990-4db86fcd228f · inbound
Explicit Context Reasoning with Supervision for Visual Tracking cites this paper.
Explicit Context Reasoning with Supervision for Visual Tracking Diagonal State Spaces are as Effective as Structured State Spaces
Reference 16
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T15:20:07.799580Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation aa1155cc-380e-47e7-9860-be86780e95d3 · inbound
Systolic Array-based Accelerator for Structured State-Space Models cites this paper.
Systolic Array-based Accelerator for Structured State-Space Models Diagonal State Spaces are as Effective as Structured State Spaces
Reference 11
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T12:53:27.352630Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0309458f-4098-44d8-9f0a-7a670198c7af · inbound
Deep Learning for Virtual Reality User Identification: A Benchmark cites this paper.
Deep Learning for Virtual Reality User Identification: A Benchmark Diagonal State Spaces are as Effective as Structured State Spaces
Reference 4
- Resolution
- verified exact
- arxiv_id, observed 2026-05-15T11:29:58.785079Z
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 091ed3c8-2f0b-48ec-ade3-99ae92d538c5 · inbound
Beyond Similarity: Temporal Operator Attention for Time Series Analysis cites this paper.
Beyond Similarity: Temporal Operator Attention for Time Series Analysis Diagonal State Spaces are as Effective as Structured State Spaces
Reference 8
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T02:47:07.761989Z
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 27db99be-09a7-43a2-a507-4a315053646d · inbound
Beyond Similarity: Temporal Operator Attention for Time Series Analysis cites this paper.
Beyond Similarity: Temporal Operator Attention for Time Series Analysis Diagonal State Spaces are as Effective as Structured State Spaces
Reference 8
- Resolution
- verified exact
- arxiv_id, observed 2026-07-01T14:15:46.523561Z
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 d04d6f25-a4c7-47d9-a93e-853a43bee6cd · inbound
Don't Listen to Me: A Lightweight, Low-Latency Model for Own-Voice Cancellation in Far-Field Speech Enhancement cites this paper.
Don't Listen to Me: A Lightweight, Low-Latency Model for Own-Voice Cancellation in Far-Field Speech Enhancement Diagonal State Spaces are as Effective as Structured State Spaces
Reference 24
- Resolution
- verified exact
- arxiv_id, observed 2026-07-04T12:29:51.715827Z
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.