Paper Citation Record · LEDGER

Simple Hardware-Efficient Long Convolutions for Sequence Modeling

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2302.06646.

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

pith.paper-citation-record.v1
2302.06646 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T04:13:17.690031Z

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

6
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 0fcc46bd-9b84-4058-a6e9-759eacd45009 · inbound

Gated Linear Attention Transformers with Hardware-Efficient Training cites this paper.

Gated Linear Attention Transformers with Hardware-Efficient Training Simple Hardware-Efficient Long Convolutions for Sequence Modeling

Reference 24

Resolution: verified exact; arxiv_id, observed 2026-05-15T01:15:14.050787Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 8c8f867e-c763-44a5-b07b-fafc618db48c · inbound

AbsenceBench: Language Models Can't Tell What's Missing cites this paper.

AbsenceBench: Language Models Can't Tell What's Missing Simple Hardware-Efficient Long Convolutions for Sequence Modeling

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-07T04:13:17.690031Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 84cebc7a-768e-4edf-a40a-bdfd4cbda307 · inbound

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

Towards Understanding Self-Pretraining for Sequence Classification Simple Hardware-Efficient Long Convolutions for Sequence Modeling

Reference 19

Resolution: verified exact; arxiv_id, observed 2026-05-21T05:33:58.255200Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 16778b84-7d3d-4e29-a2b5-0926b6a001b2 · inbound

RoVE: Rotary Value Embeddings Attention for Relative Position-dependent Value Pathways cites this paper.

RoVE: Rotary Value Embeddings Attention for Relative Position-dependent Value Pathways Simple Hardware-Efficient Long Convolutions for Sequence Modeling

Reference 8

Resolution: verified exact; arxiv_id, observed 2026-07-03T04:37:36.403764Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation a29e5d40-efc7-4f10-925d-91015722d1dd · inbound

RoVE: Rotary Value Embeddings Attention for Relative Position-dependent Value Pathways cites this paper.

RoVE: Rotary Value Embeddings Attention for Relative Position-dependent Value Pathways Simple Hardware-Efficient Long Convolutions for Sequence Modeling

Reference 2021

Resolution: unresolved; no resolver link, observed 2026-08-02T11:55:29.005834Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.