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Paper Citation Record · LEDGER

Simplifying and Understanding State Space Models with Diagonal Linear RNNs

As of 4 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2212.00768.

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

pith.paper-citation-record.v1
2212.00768 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-04T06:34:03.388597+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-21T05:29:58.809024Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-21T05:33:58.926010Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

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 b2cc0ee2-3f25-4cf5-a715-9b04abd3b388 · inbound

Mamba: Linear-Time Sequence Modeling with Selective State Spaces cites this paper.

Mamba: Linear-Time Sequence Modeling with Selective State Spaces Simplifying and Understanding State Space Models with Diagonal Linear RNNs

Reference 43

Resolution
metadata mismatch
arxiv_id, observed 2026-05-10T11:53:06.632619Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T11:53:06.570968Z digest=sha256:d45d6fa2955209aabb8db73a74020af0a694c30e71bb5e5a678a747ac5535af3

Observation 8f43994b-3bd0-463d-8421-e93db1e07789 · inbound

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

Towards Understanding Self-Pretraining for Sequence Classification Simplifying and Understanding State Space Models with Diagonal Linear RNNs

Reference 87

Resolution
verified exact
arxiv_id, observed 2026-05-21T05:33:58.927639Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-21T05:29:58.809024Z digest=sha256:a677b0ae2a66425998a8b6799fe1ec2a6a968b93f5376a5d26c1a66700ecdf31