Pith. sign in

Paper Citation Record · LEDGER

ENA: Efficient N-dimensional Attention

As of 13 August 2026, this Paper Citation Record lists 18 of 18 outbound references and 0 inbound Pith citation observations for arXiv:2508.11921.

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

pith.paper-citation-record.v1
2508.11921 v1

Coverage vector

measured 18 of 18 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T19:49:11.774586Z

measured 18 of 18 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

18 of 18 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved18
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation ef71d323-3fbe-4f32-a902-cccd8ff3a445 · outbound

This paper cites Simple linear attention language models balance the recall-throughput tradeoff.

ENA: Efficient N-dimensional Attention Simple linear attention language models balance the recall-throughput tradeoff

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-05T19:49:10.064645Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T19:49:10.064645Z digest=sha256:19c41335911d0c9d9faa6502049b8b1b232c281be8ac15bf27d9ef915cd673e2

Observation 7409a641-8b0f-4cc4-b2be-94bdd7918dff · outbound

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

ENA: Efficient N-dimensional Attention Mamba: Linear-Time Sequence Modeling with Selective State Spaces

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-05T19:49:10.434135Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T19:49:10.434135Z digest=sha256:bd18b8c4e1d768b0d0e1c5d1731a4f78876be8fb7e7bebbd4b3e419d358c54bd

Observation 5932ed19-ccd3-4de4-b488-6cfb120f572a · outbound

This paper cites Ali Hassani, Steven Walton, Jiachen Li, Shen Li, and Humphrey Shi.

ENA: Efficient N-dimensional Attention Ali Hassani, Steven Walton, Jiachen Li, Shen Li, and Humphrey Shi

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-05T19:49:10.529649Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T19:49:10.529649Z digest=sha256:29b819b8faef95e65b74bd5a3ff8e57bb03e2d8d76c41a06f6bb060462d60a03

Observation e1fa40ad-2c2b-4978-9a12-641e8daa6508 · outbound

This paper cites MambaVision: A Hybrid Mamba-Transformer Vision Backbone.

ENA: Efficient N-dimensional Attention MambaVision: A Hybrid Mamba-Transformer Vision Backbone

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-05T19:49:10.658797Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T19:49:10.658797Z digest=sha256:576c51b78c1fab112a74fa5de535cb7b4e6b50b138f79b8afe8c8aa3a7ae5122

Observation f2728015-6764-493f-b783-2204843fea74 · outbound

This paper cites CogVideo: Large-scale Pretraining for Text-to-Video Generation via Transformers.

ENA: Efficient N-dimensional Attention CogVideo: Large-scale Pretraining for Text-to-Video Generation via Transformers

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-05T19:49:10.759726Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T19:49:10.759726Z digest=sha256:c3da87b20e59a14624eca5b2c9c308f9549fc38bbffe405a50946d360f1237a5

Observation f6539178-16bf-4925-a449-451030c5d190 · outbound

This paper cites RWKV: Reinventing RNNs for the Transformer Era.

ENA: Efficient N-dimensional Attention RWKV: Reinventing RNNs for the Transformer Era

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-05T19:49:10.995232Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T19:49:10.995232Z digest=sha256:5d43d447c7268a4bcda114c885acfa509a391960658fef51e376225cf282c774

Observation e4e509f6-a6d4-4e22-8b4a-d193b14ad195 · outbound

This paper cites RWKV-7 "Goose" with Expressive Dynamic State Evolution.

ENA: Efficient N-dimensional Attention RWKV-7 "Goose" with Expressive Dynamic State Evolution

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-05T19:49:11.083164Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T19:49:11.083164Z digest=sha256:f29737181d867167911146b84b10859d67d569a0f2dfe745c8537a1e868de02d

Observation f577b9ad-6f32-4d67-833c-88464763088f · outbound

This paper cites Benjamin F.

ENA: Efficient N-dimensional Attention Benjamin F

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-05T19:49:11.207261Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T19:49:11.207261Z digest=sha256:061069abbd48ba77c3ae38732bffb0416362019d2d9ce8a7a8651abbd7a77b0d

Observation d826aa2d-4b72-4458-8c27-c16f006d823b · outbound

This paper cites Retentive Network: A Successor to Transformer for Large Language Models.

ENA: Efficient N-dimensional Attention Retentive Network: A Successor to Transformer for Large Language Models

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-05T19:49:11.286384Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T19:49:11.286384Z digest=sha256:25107da3459853725b7e2c001ac1342d40f06bb1c9edc873030268a882e72984

Observation 1520c3a0-57a7-41b3-88de-52608737d10f · outbound

This paper cites SigLIP 2: Multilingual Vision-Language Encoders with Improved Semantic Understanding, Localization, and Dense Features.

ENA: Efficient N-dimensional Attention SigLIP 2: Multilingual Vision-Language Encoders with Improved Semantic Understanding, Localization, and Dense Features

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-05T19:49:11.400467Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T19:49:11.400467Z digest=sha256:7a9f1458989fb041ba783c2022475c8d9265faad04a19a8a8c81c682a16e693e

Observation b7f60119-3474-40f2-be41-e244f25896ee · outbound

This paper cites MesaNet: Sequence Modeling by Locally Optimal Test-Time Training.

ENA: Efficient N-dimensional Attention MesaNet: Sequence Modeling by Locally Optimal Test-Time Training

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-05T19:49:11.512031Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T19:49:11.512031Z digest=sha256:881b1fe41dcf49ef9345bc09f3edd93fed42078c262b5131eb798bfc12a224b3

Observation 6e9554dc-f494-46ec-b6c5-da77107e6a44 · outbound

This paper cites CogVideoX: Text-to-Video Diffusion Models with An Expert Transformer.

ENA: Efficient N-dimensional Attention CogVideoX: Text-to-Video Diffusion Models with An Expert Transformer

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-05T19:49:11.603155Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T19:49:11.603155Z digest=sha256:259805ebe2e7a7fc0e9a4cfe045b9b0463dfc5481024ef5f0b5cfe8ed66b006c

Observation 4eff0aab-b8dc-4c9f-bbd0-f285a89a97ba · outbound

This paper cites Fast Video Generation with Sliding Tile Attention.

ENA: Efficient N-dimensional Attention Fast Video Generation with Sliding Tile Attention

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-05T19:49:11.691323Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T19:49:11.691323Z digest=sha256:b4cd6a153d9b2b5acabc4e28ebcd5637d3b76679f51a0b3e1ddb89fa4da005bc

Observation 79275d62-3ddb-431c-8f58-a2206258d72e · outbound

This paper cites DiG: Scalable and Efficient Diffusion Models with Gated Linear Attention.

ENA: Efficient N-dimensional Attention DiG: Scalable and Efficient Diffusion Models with Gated Linear Attention

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-05T19:49:11.774586Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T19:49:11.774586Z digest=sha256:e509a49a3e744107abe5a743e777c63f00b6102c52bba018943fb47ce078d68e

Observation b9275990-0f4d-4869-ae91-60cab976f278 · outbound

This paper cites The Kinetics Human Action Video Dataset.

ENA: Efficient N-dimensional Attention The Kinetics Human Action Video Dataset

Reference 2017

Resolution
unresolved
no resolver link, observed 2026-08-05T19:49:10.885504Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T19:49:10.885504Z digest=sha256:b7e5c13b26c80ce0958b68ae254936f12900eb6f2d04faf358ff866ac96037c9

Observation 96f147a4-931c-44bc-a728-7df374eb3e08 · outbound

This paper cites Flex Attention: A Programming Model for Generating Optimized Attention Kernels.

ENA: Efficient N-dimensional Attention Flex Attention: A Programming Model for Generating Optimized Attention Kernels

Reference 2023

Resolution
unresolved
no resolver link, observed 2026-08-05T19:49:10.340227Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T19:49:10.340227Z digest=sha256:2e3b3b92df71b974655cdb90a1396eeecbde95097f3864d897c67056d8e35260

Observation 681a9229-e1f3-4274-be17-a636b7f16f52 · outbound

This paper cites One-Minute Video Generation with Test-Time Training.

ENA: Efficient N-dimensional Attention One-Minute Video Generation with Test-Time Training

Reference 2024

Resolution
unresolved
no resolver link, observed 2026-08-05T19:49:10.123461Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T19:49:10.123461Z digest=sha256:52bd1686ff4cee36678b677105542c53afa1ccd0aadee87ea58ee9d16e800bad

Observation 7e023665-2a73-4c80-8a40-9b73275d8718 · outbound

This paper cites FlashAttention-2: Faster Attention with Better Parallelism and Work Partitioning.

ENA: Efficient N-dimensional Attention FlashAttention-2: Faster Attention with Better Parallelism and Work Partitioning

Reference 2025

Resolution
unresolved
no resolver link, observed 2026-08-05T19:49:10.254232Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T19:49:10.254232Z digest=sha256:fdf66f017499edeef64d1b354ab81abc97346d75d74b3dd3e88d1a362481eca3

Pith citing papers

No inbound Pith citation observations are available.