Paper Citation Record · LEDGER

ELSAA: Efficient Low-Rank and Sparse Attention Approximation for Training Transformers

As of 10 August 2026, this Paper Citation Record lists 45 of 45 outbound references and 0 inbound Pith citation observations for arXiv:2607.20214.

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

pith.paper-citation-record.v1
2607.20214 v1

Coverage vector

measured 45 of 45 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-01T10:32:06.482595Z

measured 45 of 45 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 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

45 of 45 outbound references displayed

verified exact0
verified fuzzy0
unresolved45
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation f2386326-d0ba-4726-a241-6f8e462372f8 · outbound

This paper cites Advances in Neural Information Processing Systems , year=.

ELSAA: Efficient Low-Rank and Sparse Attention Approximation for Training Transformers Advances in Neural Information Processing Systems , year=

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-01T10:32:03.174044Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a57e2c03-f0e1-4cdb-ae6f-b5a2a738fdb6 · outbound

This paper cites an unresolved cited work.

ELSAA: Efficient Low-Rank and Sparse Attention Approximation for Training Transformers Unresolved cited work

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-01T10:32:03.248117Z

Source-reported events for the cited work

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Observation d1a0e1aa-e3be-4667-8b72-10caf507bacf · outbound

This paper cites Advances in Neural Information Processing Systems , year=.

ELSAA: Efficient Low-Rank and Sparse Attention Approximation for Training Transformers Advances in Neural Information Processing Systems , year=

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-01T10:32:03.338791Z

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Observation 792e0277-ce1a-4aa2-8c6f-2fa4259d1ae5 · outbound

This paper cites International Conference on Learning Representations , year=.

ELSAA: Efficient Low-Rank and Sparse Attention Approximation for Training Transformers International Conference on Learning Representations , year=

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-01T10:32:03.458649Z

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Observation d5a379ad-7213-44c9-b700-9f8ba08c8911 · outbound

This paper cites LLaMA: Open and Efficient Foundation Language Models.

ELSAA: Efficient Low-Rank and Sparse Attention Approximation for Training Transformers LLaMA: Open and Efficient Foundation Language Models

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-01T10:32:03.568261Z

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Observation 304d326e-f7c3-49b4-aa93-fc09c0dda553 · outbound

This paper cites and Ermon, Stefano and Rudra, Atri and R.

ELSAA: Efficient Low-Rank and Sparse Attention Approximation for Training Transformers and Ermon, Stefano and Rudra, Atri and R

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-01T10:32:03.653012Z

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Observation 2222f6ce-efbc-420d-a4a7-3ee00c44cca5 · outbound

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

ELSAA: Efficient Low-Rank and Sparse Attention Approximation for Training Transformers FlashAttention-2: Faster Attention with Better Parallelism and Work Partitioning

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-01T10:32:03.722461Z

Source-reported events for the cited work

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Observation 46e1316b-dbfb-47d7-a57a-a0faddd2fe45 · outbound

This paper cites Generating Long Sequences with Sparse Transformers.

ELSAA: Efficient Low-Rank and Sparse Attention Approximation for Training Transformers Generating Long Sequences with Sparse Transformers

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-01T10:32:03.789040Z

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Observation bb86d545-6f8d-41a5-bd9d-6108a4ee656d · outbound

This paper cites Longformer: The Long-Document Transformer.

ELSAA: Efficient Low-Rank and Sparse Attention Approximation for Training Transformers Longformer: The Long-Document Transformer

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-01T10:32:03.863529Z

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Observation 57c2936f-b0ab-4496-9751-3d686217856e · outbound

This paper cites Advances in Neural Information Processing Systems , year=.

ELSAA: Efficient Low-Rank and Sparse Attention Approximation for Training Transformers Advances in Neural Information Processing Systems , year=

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-01T10:32:03.946570Z

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Observation 0c936693-3a75-4612-a334-bdbd97b6659c · outbound

This paper cites International Conference on Learning Representations , year=.

ELSAA: Efficient Low-Rank and Sparse Attention Approximation for Training Transformers International Conference on Learning Representations , year=

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-01T10:32:04.026336Z

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Observation 08bbb57f-43a6-4ed8-9875-460c942f739a · outbound

This paper cites Transactions of the Association for Computational Linguistics , volume=.

ELSAA: Efficient Low-Rank and Sparse Attention Approximation for Training Transformers Transactions of the Association for Computational Linguistics , volume=

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-01T10:32:04.076816Z

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Observation cf254f11-37fb-4012-9b70-e96f069ea1d2 · outbound

This paper cites , journal=.

ELSAA: Efficient Low-Rank and Sparse Attention Approximation for Training Transformers , journal=

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-01T10:32:04.169291Z

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Observation d8f2b60a-7523-4601-949a-e0b30416d829 · outbound

This paper cites Linformer: Self-Attention with Linear Complexity.

ELSAA: Efficient Low-Rank and Sparse Attention Approximation for Training Transformers Linformer: Self-Attention with Linear Complexity

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-01T10:32:04.226276Z

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Observation de48ab99-abb4-4d16-bb85-747e0744657c · outbound

This paper cites Transformers are.

ELSAA: Efficient Low-Rank and Sparse Attention Approximation for Training Transformers Transformers are

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-01T10:32:04.312658Z

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Observation 071f3523-8bfa-4dc4-9d4f-ddbb3ed24dcb · outbound

This paper cites International Conference on Learning Representations , year=.

ELSAA: Efficient Low-Rank and Sparse Attention Approximation for Training Transformers International Conference on Learning Representations , year=

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-01T10:32:04.371726Z

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Observation 58c6c581-a104-4fb5-907c-d63a33b8963a · outbound

This paper cites International Conference on Learning Representations , year=.

ELSAA: Efficient Low-Rank and Sparse Attention Approximation for Training Transformers International Conference on Learning Representations , year=

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-01T10:32:04.456446Z

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Observation 89088e31-efa1-4264-ad12-6dbffd28cfcb · outbound

This paper cites an unresolved cited work.

ELSAA: Efficient Low-Rank and Sparse Attention Approximation for Training Transformers Unresolved cited work

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-01T10:32:04.551012Z

Source-reported events for the cited work

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Observation fe80ecdf-fd2b-44b1-a5c8-6ee6aa7b317f · outbound

This paper cites 2026 , url=.

ELSAA: Efficient Low-Rank and Sparse Attention Approximation for Training Transformers 2026 , url=

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-01T10:32:04.630979Z

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Observation 09dc09e6-a5a9-4bc2-b362-1dfba00172cf · outbound

This paper cites Long Range Arena: A Benchmark for Efficient Transformers.

ELSAA: Efficient Low-Rank and Sparse Attention Approximation for Training Transformers Long Range Arena: A Benchmark for Efficient Transformers

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-01T10:32:04.694241Z

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Observation 08edee9a-fa1e-41c1-9cfd-ccefd8d3f6d4 · outbound

This paper cites ACM Computing Surveys , volume=.

ELSAA: Efficient Low-Rank and Sparse Attention Approximation for Training Transformers ACM Computing Surveys , volume=

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-01T10:32:04.774621Z

Source-reported events for the cited work

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Observation 0597e20f-5870-4002-ac2f-fc174fa746e1 · outbound

This paper cites Advances in Neural Information Processing Systems , year=.

ELSAA: Efficient Low-Rank and Sparse Attention Approximation for Training Transformers Advances in Neural Information Processing Systems , year=

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-01T10:32:04.836675Z

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Observation 6582d19c-aa01-4a02-b9b9-aad9d92e6258 · outbound

This paper cites Journal of the ACM , volume=.

ELSAA: Efficient Low-Rank and Sparse Attention Approximation for Training Transformers Journal of the ACM , volume=

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-01T10:32:04.898264Z

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Observation 53acde4d-0d23-4dfc-a1f0-f896f11c4667 · outbound

This paper cites SIAM Journal on Optimization , volume=.

ELSAA: Efficient Low-Rank and Sparse Attention Approximation for Training Transformers SIAM Journal on Optimization , volume=

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-01T10:32:04.966941Z

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Observation ec281921-eccc-494a-99a2-8e00e4119f37 · outbound

This paper cites and Shen, Yelong and Wallis, Phillip and Allen-Zhu, Zeyuan and Li, Yuanzhi and Wang, Shean and Wang, Lu and Chen, Weizhu , booktitle=.

ELSAA: Efficient Low-Rank and Sparse Attention Approximation for Training Transformers and Shen, Yelong and Wallis, Phillip and Allen-Zhu, Zeyuan and Li, Yuanzhi and Wang, Shean and Wang, Lu and Chen, Weizhu , booktitle=

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-01T10:32:05.030880Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 04b04466-f7ad-47d0-8bad-9df2bafa4b32 · outbound

This paper cites Exploring Low Rank Training of Deep Neural Networks.

ELSAA: Efficient Low-Rank and Sparse Attention Approximation for Training Transformers Exploring Low Rank Training of Deep Neural Networks

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-01T10:32:05.111960Z

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Unavailable: canonical work link unavailable.

Observation 0d84977c-0da4-46c3-b011-aae388d0b3f8 · outbound

This paper cites an unresolved cited work.

ELSAA: Efficient Low-Rank and Sparse Attention Approximation for Training Transformers Unresolved cited work

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-01T10:32:05.171902Z

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Observation 481f74eb-165b-45f1-bebb-6aba7c61eb3c · outbound

This paper cites an unresolved cited work.

ELSAA: Efficient Low-Rank and Sparse Attention Approximation for Training Transformers Unresolved cited work

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-01T10:32:05.267313Z

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Observation 5955f48f-3cdf-42df-a6b9-b442a2c76806 · outbound

This paper cites an unresolved cited work.

ELSAA: Efficient Low-Rank and Sparse Attention Approximation for Training Transformers Unresolved cited work

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-01T10:32:05.321547Z

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Observation 4ec3404b-1213-4ffd-a4e5-0228f44f470d · outbound

This paper cites Advances in Neural Information Processing Systems , year =.

ELSAA: Efficient Low-Rank and Sparse Attention Approximation for Training Transformers Advances in Neural Information Processing Systems , year =

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-01T10:32:05.405303Z

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Observation 92178cd2-2889-477e-96ce-aef2b6b9878f · outbound

This paper cites 2024 , eprint =.

ELSAA: Efficient Low-Rank and Sparse Attention Approximation for Training Transformers 2024 , eprint =

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-01T10:32:05.461772Z

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Observation 57bde0c9-5ef0-470e-9dc8-8fda511f06f0 · outbound

This paper cites 2024 , publisher =.

ELSAA: Efficient Low-Rank and Sparse Attention Approximation for Training Transformers 2024 , publisher =

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-01T10:32:05.508368Z

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Observation 9eece39f-7468-4cdb-b686-ce195d496009 · outbound

This paper cites and Li, Dongsheng and Lin, Chin-Yew and Yang, Yuqing and Qiu, Lili , booktitle =.

ELSAA: Efficient Low-Rank and Sparse Attention Approximation for Training Transformers and Li, Dongsheng and Lin, Chin-Yew and Yang, Yuqing and Qiu, Lili , booktitle =

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-01T10:32:05.557899Z

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Observation 38ddc183-5718-47a3-a603-6afc048a6e41 · outbound

This paper cites 2023 , publisher =.

ELSAA: Efficient Low-Rank and Sparse Attention Approximation for Training Transformers 2023 , publisher =

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-01T10:32:05.639334Z

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Observation c1eb0afa-b30c-49bd-b6dd-754ccc0131fa · outbound

This paper cites SLoPe: Double-Pruned Sparse Plus Lazy Low-Rank Adapter Pretraining of LLMs.

ELSAA: Efficient Low-Rank and Sparse Attention Approximation for Training Transformers SLoPe: Double-Pruned Sparse Plus Lazy Low-Rank Adapter Pretraining of LLMs

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-01T10:32:05.695707Z

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Observation c745175a-8bb7-434f-942b-fad0ecafc5de · outbound

This paper cites Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics , pages=.

ELSAA: Efficient Low-Rank and Sparse Attention Approximation for Training Transformers Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics , pages=

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-01T10:32:05.741152Z

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Observation 42ae099a-7178-431d-a5fd-e4c72e06db10 · outbound

This paper cites European Conference on Computer Vision (ECCV) , pages=.

ELSAA: Efficient Low-Rank and Sparse Attention Approximation for Training Transformers European Conference on Computer Vision (ECCV) , pages=

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-01T10:32:05.793324Z

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Observation 04812f29-a30a-4d80-858a-aadd3033d12f · outbound

This paper cites Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms.

ELSAA: Efficient Low-Rank and Sparse Attention Approximation for Training Transformers Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-01T10:32:05.844201Z

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Observation ccd33754-2d96-4105-9f55-be8fe7a577ed · outbound

This paper cites Proceedings of the Indian Conference on Computer Vision, Graphics and Image Processing , year=.

ELSAA: Efficient Low-Rank and Sparse Attention Approximation for Training Transformers Proceedings of the Indian Conference on Computer Vision, Graphics and Image Processing , year=

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-01T10:32:05.909473Z

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Observation b7a4aabb-6754-43e1-b46a-b6442856f85f · outbound

This paper cites IEEE Conference on Computer Vision and Pattern Recognition (CVPR) , pages=.

ELSAA: Efficient Low-Rank and Sparse Attention Approximation for Training Transformers IEEE Conference on Computer Vision and Pattern Recognition (CVPR) , pages=

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-01T10:32:05.988166Z

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Observation ab02ad10-5ab7-4e46-b193-cfb5e5962209 · outbound

This paper cites arXiv preprint arXiv:2401.XXXX , year=.

ELSAA: Efficient Low-Rank and Sparse Attention Approximation for Training Transformers arXiv preprint arXiv:2401.XXXX , year=

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-01T10:32:06.026103Z

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Observation 6f2857e7-a857-4688-911a-b3f1915a9dc1 · outbound

This paper cites 2023 , publisher=.

ELSAA: Efficient Low-Rank and Sparse Attention Approximation for Training Transformers 2023 , publisher=

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-01T10:32:06.112197Z

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Observation 25eaf955-bd09-40fe-9474-d2e8f6b6bca7 · outbound

This paper cites an unresolved cited work.

ELSAA: Efficient Low-Rank and Sparse Attention Approximation for Training Transformers Unresolved cited work

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-01T10:32:06.242028Z

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Observation 59582d41-f65b-42cb-bd30-1933e6b6a49d · outbound

This paper cites an unresolved cited work.

ELSAA: Efficient Low-Rank and Sparse Attention Approximation for Training Transformers Unresolved cited work

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-01T10:32:06.340957Z

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Observation 1171c431-d196-4cf7-b483-9cb3cfa84fc8 · outbound

This paper cites 2023 , eprint =.

ELSAA: Efficient Low-Rank and Sparse Attention Approximation for Training Transformers 2023 , eprint =

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-01T10:32:06.482595Z

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Pith citing papers

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