Paper Citation Record · LEDGER

Training Dynamics of In-Context Learning in Linear Attention

As of 11 August 2026, this Paper Citation Record lists 85 of 85 outbound references and 12 inbound Pith citation observations for arXiv:2501.16265.

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

pith.paper-citation-record.v1
2501.16265 v2

Coverage vector

measured 85 of 85 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T13:42:09.164276Z

measured 97 of 97 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00

measured 12 of 12 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T13:54:19.125912Z

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

85 of 85 outbound references displayed

verified exact2
verified fuzzy47
unresolved36
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

0
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

Observation 863a75de-3fea-426f-beb9-9949540cbda1 · outbound

This paper cites write newline.

Training Dynamics of In-Context Learning in Linear Attention write newline

Reference 1

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 72351a8a-da9b-4801-a986-b92766eb20b9 · outbound

This paper cites Context-Scaling versus Task-Scaling in In-Context Learning.

Training Dynamics of In-Context Learning in Linear Attention Context-Scaling versus Task-Scaling in In-Context Learning

Reference 2

Resolution: verified exact; local_arxiv, observed 2026-08-10T13:42:09.943815Z

Source-reported events for the cited work

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Observation 64959c77-d4e0-4ead-8c55-ed7fb68768ca · outbound

This paper cites Transformers learn to implement preconditioned gradient descent for in-context learning.

Training Dynamics of In-Context Learning in Linear Attention Transformers learn to implement preconditioned gradient descent for in-context learning

Reference 3

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Observation 0e7d4324-81d1-4fc7-8515-0dcccf45abe0 · outbound

This paper cites Linear attention is (maybe) all you need (to understand transformer optimization).

Training Dynamics of In-Context Learning in Linear Attention Linear attention is (maybe) all you need (to understand transformer optimization)

Reference 4

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Observation e7b2f64c-7709-4c3f-b47e-b65656303604 · outbound

This paper cites What learning algorithm is in-context learning? investigations with linear models.

Training Dynamics of In-Context Learning in Linear Attention What learning algorithm is in-context learning? investigations with linear models

Reference 5

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Observation d12b03fd-e8ef-410e-9551-b1ffaaaf4593 · outbound

This paper cites A., Merullo, J., and Pavlick, E.

Training Dynamics of In-Context Learning in Linear Attention A., Merullo, J., and Pavlick, E

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-10T13:42:08.799444Z

Source-reported events for the cited work

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Observation 5d7f1b81-2cdc-4b17-a1af-749a4644f8a3 · outbound

This paper cites Understanding In-Context Learning of Linear Models in Transformers Through an Adversarial Lens.

Training Dynamics of In-Context Learning in Linear Attention Understanding In-Context Learning of Linear Models in Transformers Through an Adversarial Lens

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-10T13:42:08.805009Z

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Observation f7074a8a-00f3-4479-9263-5718ab8df39f · outbound

This paper cites A convergence analysis of gradient descent for deep linear neural networks.

Training Dynamics of In-Context Learning in Linear Attention A convergence analysis of gradient descent for deep linear neural networks

Reference 8

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Observation 5c3b3432-1ef3-4765-aacf-9aef3aad3703 · outbound

This paper cites Max-margin token selection in attention mechanism.

Training Dynamics of In-Context Learning in Linear Attention Max-margin token selection in attention mechanism

Reference 9

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Observation 9cf46489-6ab3-41b9-bc27-ae77d20a4f8a · outbound

This paper cites Neural networks as kernel learners: The silent alignment effect.

Training Dynamics of In-Context Learning in Linear Attention Neural networks as kernel learners: The silent alignment effect

Reference 10

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Source-reported events for the cited work

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Observation 349988df-dfb1-4152-9151-a32999870656 · outbound

This paper cites Transformers as statisticians: Provable in-context learning with in-context algorithm selection.

Training Dynamics of In-Context Learning in Linear Attention Transformers as statisticians: Provable in-context learning with in-context algorithm selection

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T13:42:10.815157Z

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Observation bb2831a1-992f-4bca-9856-b729fbcd9d85 · outbound

This paper cites Transformers learn through gradual rank increase.

Training Dynamics of In-Context Learning in Linear Attention Transformers learn through gradual rank increase

Reference 12

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Observation 66622513-0ceb-48fe-b15f-ce4584ee3eba · outbound

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Training Dynamics of In-Context Learning in Linear Attention Unresolved cited work

Reference 13

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Observation a49640b7-93d8-485e-a725-2fe526ba29fd · outbound

This paper cites Infinite limits of multi-head transformer dynamics.

Training Dynamics of In-Context Learning in Linear Attention Infinite limits of multi-head transformer dynamics

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T13:42:10.770121Z

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Observation 4b316124-1a7f-4e01-a6df-cee59b3afa68 · outbound

This paper cites an unresolved cited work.

Training Dynamics of In-Context Learning in Linear Attention Unresolved cited work

Reference 15

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Observation 9431fafa-7de8-4929-b83c-34a635225f91 · outbound

This paper cites Toward understanding in-context vs.

Training Dynamics of In-Context Learning in Linear Attention Toward understanding in-context vs

Reference 16

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Observation deec83fe-93d7-433b-9baf-a99c3158bce9 · outbound

This paper cites Data distributional properties drive emergent in-context learning in transformers.

Training Dynamics of In-Context Learning in Linear Attention Data distributional properties drive emergent in-context learning in transformers

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T13:42:10.731984Z

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Observation cdd4c5b0-3ed7-421d-bff1-ef95b33764c2 · outbound

This paper cites L., and Saphra, N.

Training Dynamics of In-Context Learning in Linear Attention L., and Saphra, N

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T13:42:10.718066Z

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Observation 51982e89-d015-491b-8279-7a1ff550281b · outbound

This paper cites Provably learning a multi-head attention layer.

Training Dynamics of In-Context Learning in Linear Attention Provably learning a multi-head attention layer

Reference 19

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Source-reported events for the cited work

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Observation 48c82c41-46f1-484f-9f4d-d176ffbd6535 · outbound

This paper cites Training dynamics of multi-head softmax attention for in-context learning: Emergence, convergence, and optimality.

Training Dynamics of In-Context Learning in Linear Attention Training dynamics of multi-head softmax attention for in-context learning: Emergence, convergence, and optimality

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T13:42:10.704119Z

Source-reported events for the cited work

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Observation 2dfe84c6-4a23-4767-90aa-9e8e1a1b41e7 · outbound

This paper cites Unveiling induction heads: Provable training dynamics and feature learning in transformers.

Training Dynamics of In-Context Learning in Linear Attention Unveiling induction heads: Provable training dynamics and feature learning in transformers

Reference 21

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Observation 8e394567-653e-4201-9626-cbb173be8e5a · outbound

This paper cites On lazy training in differentiable programming.

Training Dynamics of In-Context Learning in Linear Attention On lazy training in differentiable programming

Reference 22

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Observation e00d3fd6-135a-4b81-932c-f81f3fd0b8bb · outbound

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

Training Dynamics of In-Context Learning in Linear Attention S., Hu, W., and Lee, J

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T13:42:10.659493Z

Source-reported events for the cited work

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Observation eb1251fe-4819-42d0-b142-b4df18a1c9d9 · outbound

This paper cites Finite Sample Analysis and Bounds of Generalization Error of Gradient Descent in In-Context Linear Regression.

Training Dynamics of In-Context Learning in Linear Attention Finite Sample Analysis and Bounds of Generalization Error of Gradient Descent in In-Context Linear Regression

Reference 24

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Observation e1295f8f-2108-4b23-8d35-5584f6f90474 · outbound

This paper cites The evolution of statistical induction heads: In-context learning markov chains.

Training Dynamics of In-Context Learning in Linear Attention The evolution of statistical induction heads: In-context learning markov chains

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T13:42:10.646077Z

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Observation 21e847e9-0a87-4176-813d-e0ee1a1e4fb8 · outbound

This paper cites and Vardi, G.

Training Dynamics of In-Context Learning in Linear Attention and Vardi, G

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T13:42:10.630905Z

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Observation 71849b5f-4342-4594-9571-5e9f60e61493 · outbound

This paper cites Transformers learn to achieve second-order convergence rates for in-context linear regression.

Training Dynamics of In-Context Learning in Linear Attention Transformers learn to achieve second-order convergence rates for in-context linear regression

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T13:42:10.617623Z

Source-reported events for the cited work

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Observation 5fce92da-7176-4c50-a44b-b8e47b0f7504 · outbound

This paper cites Effect of batch learning in multilayer neural networks.

Training Dynamics of In-Context Learning in Linear Attention Effect of batch learning in multilayer neural networks

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T13:42:10.602828Z

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Observation d3717c82-e22d-4d4a-a061-78241bdef035 · outbound

This paper cites S., and Valiant, G.

Training Dynamics of In-Context Learning in Linear Attention S., and Valiant, G

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T13:42:10.587295Z

Source-reported events for the cited work

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Observation 22b504e4-4ff0-43fe-b746-85863551cc3e · outbound

This paper cites On the Role of Depth and Looping for In-Context Learning with Task Diversity.

Training Dynamics of In-Context Learning in Linear Attention On the Role of Depth and Looping for In-Context Learning with Task Diversity

Reference 30

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Observation 080117ce-e8b2-4bcb-b8ca-b821c4b05ab7 · outbound

This paper cites Dynamic metastability in the self-attention model.

Training Dynamics of In-Context Learning in Linear Attention Dynamic metastability in the self-attention model

Reference 31

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Observation a1fc2764-3e10-4b0f-8f81-e906ccb50c9d · outbound

This paper cites In-Context Linear Regression Demystified: Training Dynamics and Mechanistic Interpretability of Multi-Head Softmax Attention.

Training Dynamics of In-Context Learning in Linear Attention In-Context Linear Regression Demystified: Training Dynamics and Mechanistic Interpretability of Multi-Head Softmax Attention

Reference 32

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Observation 6860ba27-79d8-4f9a-b077-ae624ebe29f6 · outbound

This paper cites Learning to grok: Emergence of in-context learning and skill composition in modular arithmetic tasks.

Training Dynamics of In-Context Learning in Linear Attention Learning to grok: Emergence of in-context learning and skill composition in modular arithmetic tasks

Reference 33

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Observation 0e993c53-abc7-4b3a-84a4-c351153cc72a · outbound

This paper cites T., Schrodi, S., Bratuli\' c , J., Behrmann, N., Fischer, V., and Brox, T.

Training Dynamics of In-Context Learning in Linear Attention T., Schrodi, S., Bratuli\' c , J., Behrmann, N., Fischer, V., and Brox, T

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T13:42:10.557977Z

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Observation acf3c34c-7f88-4ad2-98a2-954ff45b44d5 · outbound

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Training Dynamics of In-Context Learning in Linear Attention Unresolved cited work

Reference 35

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Observation 7ecd2b09-c6dc-49c3-ba91-125b688ed482 · outbound

This paper cites Non-asymptotic convergence of training transformers for next-token prediction.

Training Dynamics of In-Context Learning in Linear Attention Non-asymptotic convergence of training transformers for next-token prediction

Reference 36

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Observation f74697cf-cb95-4040-afec-0b0370f1f431 · outbound

This paper cites In-context convergence of transformers.

Training Dynamics of In-Context Learning in Linear Attention In-context convergence of transformers

Reference 37

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Observation 7d00bd3f-797c-4623-93a3-701fea851152 · outbound

This paper cites A theoretical analysis of self-supervised learning for vision transformers.

Training Dynamics of In-Context Learning in Linear Attention A theoretical analysis of self-supervised learning for vision transformers

Reference 38

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Observation a1af68c1-b9e9-4290-a60a-198e97f63f17 · outbound

This paper cites E., Huang, Y., Li, Y., Rawat, A.

Training Dynamics of In-Context Learning in Linear Attention E., Huang, Y., Li, Y., Rawat, A

Reference 39

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Observation 94160fa6-dc10-40e2-96d4-fee0712934d6 · outbound

This paper cites D., and Ryu, E.

Training Dynamics of In-Context Learning in Linear Attention D., and Ryu, E

Reference 40

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Observation d8050a11-f76c-47c8-a94a-6973553b1eec · outbound

This paper cites Vision transformers provably learn spatial structure.

Training Dynamics of In-Context Learning in Linear Attention Vision transformers provably learn spatial structure

Reference 41

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Observation d3c3ecfa-dfca-41db-89e8-8b638a718ee0 · outbound

This paper cites and Telgarsky, M.

Training Dynamics of In-Context Learning in Linear Attention and Telgarsky, M

Reference 42

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Observation a5dff65c-27b7-4a06-8c01-740afd2959a5 · outbound

This paper cites Unveil benign overfitting for transformer in vision: Training dynamics, convergence, and generalization.

Training Dynamics of In-Context Learning in Linear Attention Unveil benign overfitting for transformer in vision: Training dynamics, convergence, and generalization

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T13:42:10.412050Z

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Observation 91ed1275-8bee-458e-8065-2b87698e280a · outbound

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Training Dynamics of In-Context Learning in Linear Attention Unresolved cited work

Reference 44

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Training Dynamics of In-Context Learning in Linear Attention and Suzuki, T

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T13:42:10.394142Z

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Observation 5b6df4c7-96ab-467b-b6ef-96bda7b3e719 · outbound

This paper cites Geometry of linear convolutional networks.

Training Dynamics of In-Context Learning in Linear Attention Geometry of linear convolutional networks

Reference 46

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Observation 7adbada2-0e9e-4892-9d7d-97f8fc51d6cd · outbound

This paper cites Function space and critical points of linear convolutional networks.

Training Dynamics of In-Context Learning in Linear Attention Function space and critical points of linear convolutional networks

Reference 47

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Source-reported events for the cited work

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Observation ac224662-0663-4de0-ad94-82ec03472059 · outbound

This paper cites Is attention required for ICL ? exploring the relationship between model architecture and in-context learning ability.

Training Dynamics of In-Context Learning in Linear Attention Is attention required for ICL ? exploring the relationship between model architecture and in-context learning ability

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T13:42:10.377801Z

Source-reported events for the cited work

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Observation 1c9dc810-147c-4185-8fc3-e45f9cee7c70 · outbound

This paper cites Fine-grained analysis of in-context linear estimation: Data, architecture, and beyond.

Training Dynamics of In-Context Learning in Linear Attention Fine-grained analysis of in-context linear estimation: Data, architecture, and beyond

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T13:42:10.361926Z

Source-reported events for the cited work

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Observation bfcc9474-cd07-44c3-a664-9f1530f7c447 · outbound

This paper cites M., Letey, M.

Training Dynamics of In-Context Learning in Linear Attention M., Letey, M

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-10T13:42:09.012085Z

Source-reported events for the cited work

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Observation fb17ad90-e3da-42b1-9f02-1f4e87fa2969 · outbound

This paper cites V., Hashimoto, T., and Ma, T.

Training Dynamics of In-Context Learning in Linear Attention V., Hashimoto, T., and Ma, T

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T13:42:10.345757Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 35bb2cd7-dc34-417c-ad0d-6a6a4981f5cc · outbound

This paper cites V., Bondaschi, M., Girish, A., Nagle, A., Kim, H., Gastpar, M., and Ekbote, C.

Training Dynamics of In-Context Learning in Linear Attention V., Bondaschi, M., Girish, A., Nagle, A., Kim, H., Gastpar, M., and Ekbote, C

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T13:42:10.328119Z

Source-reported events for the cited work

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Observation 5b4a75ca-26e7-4ecb-9977-4d41283da5f6 · outbound

This paper cites Progress measures for grokking via mechanistic interpretability.

Training Dynamics of In-Context Learning in Linear Attention Progress measures for grokking via mechanistic interpretability

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-10T13:42:09.026844Z

Source-reported events for the cited work

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Observation daa75e13-4970-47e2-8c0e-02553d455f70 · outbound

This paper cites and Reddy, G.

Training Dynamics of In-Context Learning in Linear Attention and Reddy, G

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T13:42:10.299913Z

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Training Dynamics of In-Context Learning in Linear Attention Unresolved cited work

Reference 55

Resolution: unresolved; raw_fallback, observed 2026-08-10T13:42:10.280694Z

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This paper cites In-context learning and induction heads, 2022.

Training Dynamics of In-Context Learning in Linear Attention In-context learning and induction heads, 2022

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T13:42:10.263268Z

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Training Dynamics of In-Context Learning in Linear Attention and Reznikoff, M

Reference 57

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Training Dynamics of In-Context Learning in Linear Attention F., Lubana, E

Reference 58

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This paper cites The mechanistic basis of data dependence and abrupt learning in an in-context classification task.

Training Dynamics of In-Context Learning in Linear Attention The mechanistic basis of data dependence and abrupt learning in an in-context classification task

Reference 59

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Training Dynamics of In-Context Learning in Linear Attention Unresolved cited work

Reference 60

Resolution: unresolved; raw_fallback, observed 2026-08-10T13:42:10.213412Z

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This paper cites A distributional simplicity bias in the learning dynamics of transformers.

Training Dynamics of In-Context Learning in Linear Attention A distributional simplicity bias in the learning dynamics of transformers

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T13:42:10.199875Z

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Observation 33e03add-e130-498c-aabe-26e79c5e8aa7 · outbound

This paper cites M., McClelland, J.

Training Dynamics of In-Context Learning in Linear Attention M., McClelland, J

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T13:42:10.186428Z

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Observation 0ae0ce06-93b8-44f8-85f5-afdeba87eb8f · outbound

This paper cites M., McClelland, J.

Training Dynamics of In-Context Learning in Linear Attention M., McClelland, J

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-10T13:42:09.071591Z

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Training Dynamics of In-Context Learning in Linear Attention Linear transformers are secretly fast weight programmers

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T13:42:10.172011Z

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This paper cites Exponential convergence time of gradient descent for one-dimensional deep linear neural networks.

Training Dynamics of In-Context Learning in Linear Attention Exponential convergence time of gradient descent for one-dimensional deep linear neural networks

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T13:42:10.157648Z

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Observation ee85c82c-8ac2-43be-bc0f-a5588a800f5c · outbound

This paper cites Implicit Regularization of Gradient Flow on One-Layer Softmax Attention.

Training Dynamics of In-Context Learning in Linear Attention Implicit Regularization of Gradient Flow on One-Layer Softmax Attention

Reference 66

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This paper cites K., Chan, S., Moskovitz, T., Grant, E., Saxe, A., and Hill, F.

Training Dynamics of In-Context Learning in Linear Attention K., Chan, S., Moskovitz, T., Grant, E., Saxe, A., and Hill, F

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T13:42:10.142031Z

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Observation 523c51a5-308b-4e46-8576-562225e5584e · outbound

This paper cites K., Moskovitz, T., Hill, F., Chan, S.

Training Dynamics of In-Context Learning in Linear Attention K., Moskovitz, T., Hill, F., Chan, S

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T13:42:10.126088Z

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Observation 07cd9722-8346-469b-967c-fcb945bbb1b8 · outbound

This paper cites Strategy Coopetition Explains the Emergence and Transience of In-Context Learning.

Training Dynamics of In-Context Learning in Linear Attention Strategy Coopetition Explains the Emergence and Transience of In-Context Learning

Reference 69

Resolution: unresolved; no resolver link, observed 2026-08-10T13:42:09.095341Z

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Observation 5ab6d677-67c2-4c8d-9891-666ecc4bec0d · outbound

This paper cites Unraveling the gradient descent dynamics of transformers.

Training Dynamics of In-Context Learning in Linear Attention Unraveling the gradient descent dynamics of transformers

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T13:42:10.111542Z

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Observation 17e09882-94d7-458b-9876-e8d11e230fe2 · outbound

This paper cites Transformers as Support Vector Machines.

Training Dynamics of In-Context Learning in Linear Attention Transformers as Support Vector Machines

Reference 71

Resolution: unresolved; no resolver link, observed 2026-08-10T13:42:09.103451Z

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Observation 56750efc-d9f1-4715-8348-b2a22df7b4c7 · outbound

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Training Dynamics of In-Context Learning in Linear Attention Unresolved cited work

Reference 72

Resolution: unresolved; raw_fallback, observed 2026-08-10T13:42:10.096926Z

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Observation 42d6f779-6a0d-4d90-bc33-edfd1c8735b6 · outbound

This paper cites an unresolved cited work.

Training Dynamics of In-Context Learning in Linear Attention Unresolved cited work

Reference 73

Resolution: unresolved; raw_fallback, observed 2026-08-10T13:42:10.082014Z

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Observation a014db2b-f462-4e30-b475-95cf5671a9f3 · outbound

This paper cites Implicit bias and fast convergence rates for self-attention.

Training Dynamics of In-Context Learning in Linear Attention Implicit bias and fast convergence rates for self-attention

Reference 74

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T13:42:10.067318Z

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Observation 4e9d17f5-57a0-432e-918c-b2f0b4f25ebc · outbound

This paper cites N., Kaiser, L.

Training Dynamics of In-Context Learning in Linear Attention N., Kaiser, L

Reference 75

Resolution: unresolved; no resolver link, observed 2026-08-10T13:42:09.120780Z

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This paper cites Linear transformers are versatile in-context learners.

Training Dynamics of In-Context Learning in Linear Attention Linear transformers are versatile in-context learners

Reference 76

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T13:42:10.042963Z

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Observation 4b478dff-4ebe-4e02-a8bd-9fb779a69a8d · outbound

This paper cites Transformers learn in-context by gradient descent.

Training Dynamics of In-Context Learning in Linear Attention Transformers learn in-context by gradient descent

Reference 77

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T13:42:10.027837Z

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Observation 26249c99-a298-4db3-be81-cc6fb5aae8bd · outbound

This paper cites How Transformers Get Rich: Approximation and Dynamics Analysis.

Training Dynamics of In-Context Learning in Linear Attention How Transformers Get Rich: Approximation and Dynamics Analysis

Reference 78

Resolution: unresolved; no resolver link, observed 2026-08-10T13:42:09.133732Z

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Training Dynamics of In-Context Learning in Linear Attention Unresolved cited work

Reference 79

Resolution: unresolved; raw_fallback, observed 2026-08-10T13:42:10.011623Z

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Observation 57f62c0c-2855-4b81-885b-8ab043f8be30 · outbound

This paper cites D., Moroshko, E., Savarese, P., Golan, I., Soudry, D., and Srebro, N.

Training Dynamics of In-Context Learning in Linear Attention D., Moroshko, E., Savarese, P., Golan, I., Soudry, D., and Srebro, N

Reference 80

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This paper cites How many pretraining tasks are needed for in-context learning of linear regression? In The Twelfth International Conference on Learning Representations, 2024.

Training Dynamics of In-Context Learning in Linear Attention How many pretraining tasks are needed for in-context learning of linear regression? In The Twelfth International Conference on Learning Representations, 2024

Reference 81

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T13:42:09.987294Z

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Observation d0ba08e5-4b83-4754-9ab3-53727ac93825 · outbound

This paper cites V., Pasunuru, R., Chen, D., Zettlemoyer, L., and Stoyanov, V.

Training Dynamics of In-Context Learning in Linear Attention V., Pasunuru, R., Chen, D., Zettlemoyer, L., and Stoyanov, V

Reference 82

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This paper cites B., Jegelka, S., and Andreas, J.

Training Dynamics of In-Context Learning in Linear Attention B., Jegelka, S., and Andreas, J

Reference 83

Resolution: unresolved; no resolver link, observed 2026-08-10T13:42:09.155908Z

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Training Dynamics of In-Context Learning in Linear Attention Unresolved cited work

Reference 84

Resolution: unresolved; raw_fallback, observed 2026-08-10T13:42:09.972758Z

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Observation 0cd92c93-764c-431c-912f-57814ddfc26e · outbound

This paper cites In-context learning of a linear transformer block: Benefits of the mlp component and one-step gd initialization.

Training Dynamics of In-Context Learning in Linear Attention In-context learning of a linear transformer block: Benefits of the mlp component and one-step gd initialization

Reference 85

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T13:42:09.959015Z

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Pith citing papers

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Unveiling the Mechanisms of Multi-Hop Reasoning in Transformers via Identity Bridge cites this paper.

Unveiling the Mechanisms of Multi-Hop Reasoning in Transformers via Identity Bridge Training Dynamics of In-Context Learning in Linear Attention

Reference 37

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Observation b2b3f7b8-b40d-4a3c-a664-bb62f0a15515 · inbound

Breaking the Reversal Curse in Autoregressive Language Models via Identity Bridge cites this paper.

Breaking the Reversal Curse in Autoregressive Language Models via Identity Bridge Training Dynamics of In-Context Learning in Linear Attention

Reference 20

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Understanding LoRA as Knowledge Memory: An Empirical Analysis cites this paper.

Understanding LoRA as Knowledge Memory: An Empirical Analysis Training Dynamics of In-Context Learning in Linear Attention

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Observation 66609f14-4854-4d82-97a6-bf1bac3c3e26 · inbound

Understanding LoRA as Knowledge Memory: An Empirical Analysis cites this paper.

Understanding LoRA as Knowledge Memory: An Empirical Analysis Training Dynamics of In-Context Learning in Linear Attention

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Specialization of softmax attention heads: insights from the high-dimensional single-location model cites this paper.

Specialization of softmax attention heads: insights from the high-dimensional single-location model Training Dynamics of In-Context Learning in Linear Attention

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Observation c900c87b-9bb0-439f-b446-83da4b72e296 · inbound

Learning to Adapt: In-Context Learning Beyond Stationarity cites this paper.

Learning to Adapt: In-Context Learning Beyond Stationarity Training Dynamics of In-Context Learning in Linear Attention

Reference 55

Resolution: verified exact; arxiv_id, observed 2026-05-11T08:45:59.349405Z

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Observation c374f714-ce4e-4396-a6c9-4ed2fc64658a · inbound

Transformers Can Implement Preconditioned Richardson Iteration for In-Context Gaussian Kernel Regression cites this paper.

Transformers Can Implement Preconditioned Richardson Iteration for In-Context Gaussian Kernel Regression Training Dynamics of In-Context Learning in Linear Attention

Reference 44

Resolution: verified exact; arxiv_id, observed 2026-05-12T03:16:19.409505Z

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Observation 5de7d0dd-6fd1-4589-a3c3-365faa864a81 · inbound

Transformers Can Implement Preconditioned Richardson Iteration for In-Context Gaussian Kernel Regression cites this paper.

Transformers Can Implement Preconditioned Richardson Iteration for In-Context Gaussian Kernel Regression Training Dynamics of In-Context Learning in Linear Attention

Reference 44

Resolution: verified exact; arxiv_id, observed 2026-05-20T22:29:09.452218Z

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Observation d81efff2-39de-4965-b583-05dda0263c3f · inbound

An Asymptotic Theory of Chain-of-Thought in In-Context Learning cites this paper.

An Asymptotic Theory of Chain-of-Thought in In-Context Learning Training Dynamics of In-Context Learning in Linear Attention

Reference 27

Resolution: verified exact; arxiv_id, observed 2026-07-02T05:16:38.978513Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 878a2b8a-6003-46f5-97a5-066f7bbd83b7 · inbound

Gradient Descent with Large Step Size Restores Symmetry in Deep Linear Networks with Multi-Pathway cites this paper.

Gradient Descent with Large Step Size Restores Symmetry in Deep Linear Networks with Multi-Pathway Training Dynamics of In-Context Learning in Linear Attention

Reference 41

Resolution: verified exact; arxiv_id, observed 2026-06-28T23:22:46.412075Z

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Observation de61a2c5-ec38-437d-ad1b-38ab5e36bc22 · inbound

Towards personalised intervention: A causal-dynamical framework to determine psychological treatment trajectories cites this paper.

Towards personalised intervention: A causal-dynamical framework to determine psychological treatment trajectories Training Dynamics of In-Context Learning in Linear Attention

Reference 132

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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 044ed462-b13a-40e1-85df-726ac21d695b · inbound

Sequential Correlations Change In-Context Learning: Effective Context Length and Architectural Mismatch cites this paper.

Sequential Correlations Change In-Context Learning: Effective Context Length and Architectural Mismatch Training Dynamics of In-Context Learning in Linear Attention

Reference 37

Resolution: unresolved; no resolver link, observed 2026-07-12T00:51:41.905788Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.