Paper Citation Record · LEDGER

Efficient Attention: Attention with Linear Complexities

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:1812.01243.

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

pith.paper-citation-record.v1
1812.01243 v10

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 9 of 9 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 9 of 9 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T10:19:31.887945Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-30T23:35:07.305583Z

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 d434ecb6-5020-48b4-b0b4-4926c3582296 · inbound

Rethinking Attention with Performers cites this paper.

Rethinking Attention with Performers Efficient Attention: Attention with Linear Complexities

Reference 148

Resolution: verified exact; arxiv_id, observed 2026-05-12T09:16:14.474261Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 4944ade3-446b-424d-955c-7b46e371bbc2 · inbound

Leave No Context Behind: Efficient Infinite Context Transformers with Infini-attention cites this paper.

Leave No Context Behind: Efficient Infinite Context Transformers with Infini-attention Efficient Attention: Attention with Linear Complexities

Reference 26

Resolution: verified exact; arxiv_id, observed 2026-05-21T18:17:00.285970Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation d8d327d9-dd89-41f0-a37d-80218f5ed129 · inbound

Theoretical Analysis of Positional Encodings in Transformer Models: Impact on Expressiveness and Generalization cites this paper.

Theoretical Analysis of Positional Encodings in Transformer Models: Impact on Expressiveness and Generalization Efficient Attention: Attention with Linear Complexities

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-07T10:19:31.887945Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eddbe899-5eb9-4413-8bf9-9fcc1dd536e6 · inbound

Toeplitz MLP Mixers are Low Complexity, Information-Rich Sequence Models cites this paper.

Toeplitz MLP Mixers are Low Complexity, Information-Rich Sequence Models Efficient Attention: Attention with Linear Complexities

Reference 48

Resolution: verified exact; arxiv_id, observed 2026-05-11T04:45:56.352759Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation a46753e6-64af-4586-8a74-007c8099b203 · inbound

Structured Recurrent Mixers for Massively Parallelized Sequence Generation cites this paper.

Structured Recurrent Mixers for Massively Parallelized Sequence Generation Efficient Attention: Attention with Linear Complexities

Reference 59

Resolution: verified exact; arxiv_id, observed 2026-05-12T07:56:29.164659Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation dde04e34-5322-4b78-a1ce-0b386595be09 · inbound

Structured Recurrent Mixers for Massively Parallelized Sequence Generation cites this paper.

Structured Recurrent Mixers for Massively Parallelized Sequence Generation Efficient Attention: Attention with Linear Complexities

Reference 59

Resolution: verified exact; arxiv_id, observed 2026-05-20T23:29:12.978671Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 15b7cd13-7a7d-41d3-a3c2-eb3260409a51 · inbound

Structured Recurrent Mixers for Massively Parallelized Sequence Generation cites this paper.

Structured Recurrent Mixers for Massively Parallelized Sequence Generation Efficient Attention: Attention with Linear Complexities

Reference 14

Resolution: verified exact; arxiv_id, observed 2026-06-30T23:35:07.307579Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 1515425f-e896-460f-9a84-5b904f46b82e · inbound

Structured Recurrent Mixers for Massively Parallelized Sequence Generation cites this paper.

Structured Recurrent Mixers for Massively Parallelized Sequence Generation Efficient Attention: Attention with Linear Complexities

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-04T05:19:08.086357Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6d5e8181-bbe7-4377-a695-5f030c91e2e1 · inbound

Elastic Attention Cores for Scalable Vision Transformers cites this paper.

Elastic Attention Cores for Scalable Vision Transformers Efficient Attention: Attention with Linear Complexities

Reference 52

Resolution: verified exact; arxiv_id, observed 2026-05-13T06:07:22.634429Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.