Paper Citation Record · LEDGER

Faster Query-Key Learning Sharpens Attention in Self-Attention Models

As of 17 August 2026, this Paper Citation Record lists 68 of 68 outbound references and 1 inbound Pith citation observation for arXiv:2608.06776.

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

pith.paper-citation-record.v1
2608.06776 v1

Coverage vector

measured 68 of 68 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T14:39:18.403313Z

measured 69 of 69 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-14T04:15:48.968402Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-14T04:15:49.290160Z

Reference resolution

68 of 68 outbound references displayed

verified exact3
verified fuzzy39
unresolved26
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 05db1fb3-1915-4d4d-8c9c-42167c5cf6af · outbound

This paper cites On the Optimization of Deep Networks: Implicit Acceleration by Overparameterization.

Faster Query-Key Learning Sharpens Attention in Self-Attention Models On the Optimization of Deep Networks: Implicit Acceleration by Overparameterization

Reference 2

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Source-reported events for the cited work

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Observation 1f04f26b-4471-4ce9-bd8c-9554a47a806a · outbound

This paper cites Self-attention networks localize when qk-eigenspectrum concentrates.

Faster Query-Key Learning Sharpens Attention in Self-Attention Models Self-attention networks localize when qk-eigenspectrum concentrates

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:39:19.535605Z

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Observation cd6eb2e9-caea-43e5-ad11-61852b497662 · outbound

This paper cites Birth of a transformer: a memory viewpoint.

Faster Query-Key Learning Sharpens Attention in Self-Attention Models Birth of a transformer: a memory viewpoint

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:39:19.513920Z

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Observation 68441002-f3d1-488f-844c-f3690651deba · outbound

This paper cites Language Models are Few-Shot Learners.

Faster Query-Key Learning Sharpens Attention in Self-Attention Models Language Models are Few-Shot Learners

Reference 7

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Observation c4b2cc58-65ff-4a71-be7b-5feffc94c991 · outbound

This paper cites Universal Transformers.

Faster Query-Key Learning Sharpens Attention in Self-Attention Models Universal Transformers

Reference 8

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Observation 067bf91f-cb3a-40d2-ab3e-795be6d9a3c1 · outbound

This paper cites On the optimization and generalization of multi-head attention.

Faster Query-Key Learning Sharpens Attention in Self-Attention Models On the optimization and generalization of multi-head attention

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:39:19.494546Z

Source-reported events for the cited work

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Observation e9cbbafc-1209-481a-8049-06b45c4e698f · outbound

This paper cites On the Optimization and Generalization of Multi-head Attention.

Faster Query-Key Learning Sharpens Attention in Self-Attention Models On the Optimization and Generalization of Multi-head Attention

Reference 10

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Observation 6d32f044-0fca-489c-87a3-948b4f932167 · outbound

This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.

Faster Query-Key Learning Sharpens Attention in Self-Attention Models An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 12

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Observation e466f636-4ef9-494b-b147-0b4bf080a84d · outbound

This paper cites S., Hu, W., and Lee, J.

Faster Query-Key Learning Sharpens Attention in Self-Attention Models S., Hu, W., and Lee, J

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:39:19.478602Z

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Observation cb061834-8ad3-4064-af60-2b39a56c5cab · outbound

This paper cites A mathematical framework for transformer circuits.

Faster Query-Key Learning Sharpens Attention in Self-Attention Models A mathematical framework for transformer circuits

Reference 14

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Source-reported events for the cited work

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Observation 943218e2-4634-4659-bb85-c76682efc00d · outbound

This paper cites The emergence of clusters in self-attention dynamics.

Faster Query-Key Learning Sharpens Attention in Self-Attention Models The emergence of clusters in self-attention dynamics

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:39:19.450939Z

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Observation 2d979015-6b34-4794-b445-e49d6f16c970 · outbound

This paper cites and Wallace, B.

Faster Query-Key Learning Sharpens Attention in Self-Attention Models and Wallace, B

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:39:19.428665Z

Source-reported events for the cited work

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Observation aeb751e1-e6a1-464f-8c3e-9554802a074b · outbound

This paper cites Clustering in causal attention masking.

Faster Query-Key Learning Sharpens Attention in Self-Attention Models Clustering in causal attention masking

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:39:19.411456Z

Source-reported events for the cited work

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Observation fbb1ea4c-32ed-400f-b5bf-9c2a5f4e0b06 · outbound

This paper cites Transformers in Speech Processing: A Survey.

Faster Query-Key Learning Sharpens Attention in Self-Attention Models Transformers in Speech Processing: A Survey

Reference 18

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Source-reported events for the cited work

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Observation ed667f7c-1045-4aa7-aeb8-e55d0dee41c1 · outbound

This paper cites How do transformers learn topic structure: towards a mechanistic understanding.

Faster Query-Key Learning Sharpens Attention in Self-Attention Models How do transformers learn topic structure: towards a mechanistic understanding

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:39:19.394395Z

Source-reported events for the cited work

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Observation 98b45860-5b3b-499c-bdfd-1ab759a7fca4 · outbound

This paper cites Mechanics of Next Token Prediction with Self-Attention.

Faster Query-Key Learning Sharpens Attention in Self-Attention Models Mechanics of Next Token Prediction with Self-Attention

Reference 20

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Observation 3b8c52ce-c7a1-41a4-aff1-6afe9c5d5b1b · outbound

This paper cites On the dynamics of training attention models.

Faster Query-Key Learning Sharpens Attention in Self-Attention Models On the dynamics of training attention models

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:39:19.375759Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 075fc0dd-a114-433e-9230-450eb2083918 · outbound

This paper cites M., Biemann, C., Goyal, P., and Mukherjee, A.

Faster Query-Key Learning Sharpens Attention in Self-Attention Models M., Biemann, C., Goyal, P., and Mukherjee, A

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:39:19.359952Z

Source-reported events for the cited work

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Observation 51cf7cdf-3d68-464b-8078-1685cf2ed3df · outbound

This paper cites In-context learning and induction heads.

Faster Query-Key Learning Sharpens Attention in Self-Attention Models In-context learning and induction heads

Reference 24

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Source-reported events for the cited work

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Observation 52b99241-6a03-4d27-87eb-66ac25ca15bc · outbound

This paper cites N., Vashisht, R., and Ramaswamy, H.

Faster Query-Key Learning Sharpens Attention in Self-Attention Models N., Vashisht, R., and Ramaswamy, H

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:39:19.334617Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 5fe12347-73ea-4936-9372-1998bc77a2d9 · outbound

This paper cites Attention is turing complete.

Faster Query-Key Learning Sharpens Attention in Self-Attention Models Attention is turing complete

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:39:19.317498Z

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Observation 1b8e5479-3e76-4b9b-8c91-81e0fd0b96e3 · outbound

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Faster Query-Key Learning Sharpens Attention in Self-Attention Models Improving language understanding by generative pre-training

Reference 27

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Observation 8be5a6b6-9d0b-4cd2-9274-9fba9d662ea9 · outbound

This paper cites Scan and snap: understanding training dynamics and token composition in 1-layer transformer.

Faster Query-Key Learning Sharpens Attention in Self-Attention Models Scan and snap: understanding training dynamics and token composition in 1-layer transformer

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:39:19.287972Z

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Observation 1ffb953c-5610-48a1-adee-fdafc300c806 · outbound

This paper cites and Ramaswamy, H.

Faster Query-Key Learning Sharpens Attention in Self-Attention Models and Ramaswamy, H

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:39:19.272360Z

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Observation 7f632b6b-0afa-41fb-9f36-6a46896f5417 · outbound

This paper cites N., Kaiser, L.

Faster Query-Key Learning Sharpens Attention in Self-Attention Models N., Kaiser, L

Reference 32

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Observation b029877b-2e9f-4876-aa2c-e7bad65ca26b · outbound

This paper cites Are Transformers universal approximators of sequence-to-sequence functions?.

Faster Query-Key Learning Sharpens Attention in Self-Attention Models Are Transformers universal approximators of sequence-to-sequence functions?

Reference 34

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Observation 85017a99-ae25-4307-a77e-cbcdae1831a7 · outbound

This paper cites Attention is All you Need , url =.

Faster Query-Key Learning Sharpens Attention in Self-Attention Models Attention is All you Need , url =

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:39:19.247018Z

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Observation a9962a82-cb5f-4b3b-bfb0-52dc99b649be · outbound

This paper cites ArXiv , year=.

Faster Query-Key Learning Sharpens Attention in Self-Attention Models ArXiv , year=

Reference 36

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Observation 2ce633c1-dec7-4c60-afb2-4cd12f19af38 · outbound

This paper cites and Kumar, Sanjiv , biburl =.

Faster Query-Key Learning Sharpens Attention in Self-Attention Models and Kumar, Sanjiv , biburl =

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:39:19.213639Z

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Observation 5d45f57c-fe0f-49be-8482-35a94a84243d · outbound

This paper cites On the Computational Power of Transformers and Its Implications in Sequence Modeling.

Faster Query-Key Learning Sharpens Attention in Self-Attention Models On the Computational Power of Transformers and Its Implications in Sequence Modeling

Reference 38

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Faster Query-Key Learning Sharpens Attention in Self-Attention Models On the A bility and L imitations of T ransformers to R ecognize F ormal L anguages

Reference 39

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Faster Query-Key Learning Sharpens Attention in Self-Attention Models ArXiv , year=

Reference 40

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Faster Query-Key Learning Sharpens Attention in Self-Attention Models Attention is turing complete , year =

Reference 41

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Observation 61fbacbd-5c02-4471-afc2-08d979fb5a98 · outbound

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Faster Query-Key Learning Sharpens Attention in Self-Attention Models and Ba, Jimmy , biburl =

Reference 42

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Observation c4106af3-60f1-4649-bdb5-0c2563327275 · outbound

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Faster Query-Key Learning Sharpens Attention in Self-Attention Models Unresolved cited work

Reference 43

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Faster Query-Key Learning Sharpens Attention in Self-Attention Models 2021 , journal=

Reference 44

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Observation a08a058c-d101-4628-a59b-99d93c1190fb · outbound

This paper cites In-context Learning and Induction Heads.

Faster Query-Key Learning Sharpens Attention in Self-Attention Models In-context Learning and Induction Heads

Reference 45

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Observation 2eb62838-e40d-4716-ab1a-13ba5b48a26f · outbound

This paper cites Birth of a transformer: a memory viewpoint , year =.

Faster Query-Key Learning Sharpens Attention in Self-Attention Models Birth of a transformer: a memory viewpoint , year =

Reference 46

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Observation 9be6d413-dccf-4002-8194-ad25097c2cab · outbound

This paper cites SQ u AD : 100,000+ Questions for Machine Comprehension of Text.

Faster Query-Key Learning Sharpens Attention in Self-Attention Models SQ u AD : 100,000+ Questions for Machine Comprehension of Text

Reference 47

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Faster Query-Key Learning Sharpens Attention in Self-Attention Models Assessing the Ability of LSTM s to Learn Syntax-Sensitive Dependencies

Reference 48

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Faster Query-Key Learning Sharpens Attention in Self-Attention Models AAAI Conference on Artificial Intelligence , year=

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:39:19.086276Z

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Observation 23c39edd-bddc-4ee3-a11c-98918278029e · outbound

This paper cites Proceedings of the 37th International Conference on Neural Information Processing Systems , articleno =.

Faster Query-Key Learning Sharpens Attention in Self-Attention Models Proceedings of the 37th International Conference on Neural Information Processing Systems , articleno =

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:39:19.068323Z

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Observation 9c8e705f-8870-49fc-9ad2-ebe22dc20016 · outbound

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Faster Query-Key Learning Sharpens Attention in Self-Attention Models BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding , url =

Reference 51

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Faster Query-Key Learning Sharpens Attention in Self-Attention Models Language Models are Few-Shot Learners

Reference 52

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Faster Query-Key Learning Sharpens Attention in Self-Attention Models ArXiv , year=

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Faster Query-Key Learning Sharpens Attention in Self-Attention Models Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) , month =

Reference 54

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Faster Query-Key Learning Sharpens Attention in Self-Attention Models ArXiv , year=

Reference 55

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Faster Query-Key Learning Sharpens Attention in Self-Attention Models and Hu, Wei and Lee, Jason D

Reference 56

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Faster Query-Key Learning Sharpens Attention in Self-Attention Models 2022 , journal=

Reference 57

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Faster Query-Key Learning Sharpens Attention in Self-Attention Models ArXiv , year=

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:39:18.970434Z

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Observation d1602f52-1aff-4bea-b548-b596476f0b21 · outbound

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Faster Query-Key Learning Sharpens Attention in Self-Attention Models 2025 , eprint=

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:39:18.956155Z

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Observation e2296ce4-2ff9-4269-9729-6c34e0085c92 · outbound

This paper cites Attention is not not Explanation.

Faster Query-Key Learning Sharpens Attention in Self-Attention Models Attention is not not Explanation

Reference 60

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Faster Query-Key Learning Sharpens Attention in Self-Attention Models North American Chapter of the Association for Computational Linguistics , year=

Reference 61

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Observation 07c2fcb9-a389-46bd-834e-4e59d86f645a · outbound

This paper cites Is Attention Interpretable?.

Faster Query-Key Learning Sharpens Attention in Self-Attention Models Is Attention Interpretable?

Reference 62

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Observation 300fb36e-0524-4fe8-af54-54b6a7c665d3 · outbound

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Faster Query-Key Learning Sharpens Attention in Self-Attention Models 2024 , eprint=

Reference 63

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Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:39:18.909569Z

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Faster Query-Key Learning Sharpens Attention in Self-Attention Models Proceedings of the 41st International Conference on Machine Learning , articleno =

Reference 65

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Faster Query-Key Learning Sharpens Attention in Self-Attention Models Transactions on Machine Learning Research , issn=

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:39:18.874535Z

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Faster Query-Key Learning Sharpens Attention in Self-Attention Models Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence , articleno =

Reference 67

Resolution: verified exact; doi, observed 2026-08-15T14:39:18.468085Z

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Faster Query-Key Learning Sharpens Attention in Self-Attention Models International Conference on Learning Representations , year=

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:39:18.854925Z

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Reference 69

Resolution: verified exact; doi, observed 2026-08-15T14:39:18.448554Z

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Faster Query-Key Learning Sharpens Attention in Self-Attention Models Proceedings of the 37th International Conference on Neural Information Processing Systems , articleno =

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:39:18.835752Z

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Faster Query-Key Learning Sharpens Attention in Self-Attention Models Proceedings of the 38th International Conference on Neural Information Processing Systems , articleno =

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:39:18.818156Z

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Faster Query-Key Learning Sharpens Attention in Self-Attention Models Proceedings of the 40th International Conference on Machine Learning , articleno =

Reference 72

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:39:18.796993Z

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Faster Query-Key Learning Sharpens Attention in Self-Attention Models Quantifying Attention Flow in Transformers

Reference 73

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Faster Query-Key Learning Sharpens Attention in Self-Attention Models ERASER : A Benchmark to Evaluate Rationalized NLP Models

Reference 74

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Faster Query-Key Learning Sharpens Attention in Self-Attention Models Proceedings of The 14th Asian Conference on Machine Learning , pages =

Reference 75

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:39:18.778188Z

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Faster Query-Key Learning Sharpens Attention in Self-Attention Models European Conference on Artificial Intelligence , year=

Reference 76

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:39:18.758095Z

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Pith citing papers

Observation f6db4ff7-a0e7-480d-a701-6470ca84d468 · inbound

Power law graph attention: exact generalization of scaled dot-product attention, empirical collapse at inference cites this paper.

Power law graph attention: exact generalization of scaled dot-product attention, empirical collapse at inference Faster Query-Key Learning Sharpens Attention in Self-Attention Models

Reference 42

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.