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Paper Citation Record · LEDGER

ATLAS: Learning to Optimally Memorize the Context at Test Time

As of 8 August 2026, this Paper Citation Record lists 98 of 98 outbound references and 26 inbound Pith citation observations for arXiv:2505.23735.

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

pith.paper-citation-record.v1
2505.23735 v1

Coverage vector

measured 98 of 98 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:44:22.594242Z

measured 124 of 124 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 26 of 26 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T10:30:12.623623Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T19:30:07.282576Z

Reference resolution

98 of 98 outbound references displayed

  • verified exact3
  • verified fuzzy28
  • unresolved64
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation e93043e2-777d-4da2-b2b4-dc5933cd653c · outbound

This paper cites GPT-4 Technical Report.

ATLAS: Learning to Optimally Memorize the Context at Test Time GPT-4 Technical Report

Reference 1

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Observation 764eca94-6fe7-44b2-9eea-4e3077db5f8e · outbound

This paper cites Physics of Language Models: Part 4.1, Architecture Design and the Magic of Canon Layers.

ATLAS: Learning to Optimally Memorize the Context at Test Time Physics of Language Models: Part 4.1, Architecture Design and the Magic of Canon Layers

Reference 2

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Observation d4b5616d-a55b-403c-b951-f6803d5e1e81 · outbound

This paper cites Zoology: Measuring and Improving Recall in Efficient Language Models.

ATLAS: Learning to Optimally Memorize the Context at Test Time Zoology: Measuring and Improving Recall in Efficient Language Models

Reference 3

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Observation 3cc17647-feee-4097-a45c-71a57a2a11c1 · outbound

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

ATLAS: Learning to Optimally Memorize the Context at Test Time Simple linear attention language models balance the recall-throughput tradeoff

Reference 4

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Observation 68025587-dae6-4a25-bfd0-eec8967af5cc · outbound

This paper cites Language Models Enable Simple Systems for Generating Structured Views of Heterogeneous Data Lakes.

ATLAS: Learning to Optimally Memorize the Context at Test Time Language Models Enable Simple Systems for Generating Structured Views of Heterogeneous Data Lakes

Reference 5

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Observation 6b90bace-42ed-411e-927f-b18eb84d832c · outbound

This paper cites Neural Machine Translation by Jointly Learning to Align and Translate.

ATLAS: Learning to Optimally Memorize the Context at Test Time Neural Machine Translation by Jointly Learning to Align and Translate

Reference 6

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Observation 1dbcbc77-0595-4ea0-83ac-08da5d80450b · outbound

This paper cites On the capabilities of multilayer perceptrons.

ATLAS: Learning to Optimally Memorize the Context at Test Time On the capabilities of multilayer perceptrons

Reference 7

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Source-reported events for the cited work

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Observation a43f832e-4b20-419b-8017-d721daa1d409 · outbound

This paper cites It's All Connected: A Journey Through Test-Time Memorization, Attentional Bias, Retention, and Online Optimization.

ATLAS: Learning to Optimally Memorize the Context at Test Time It's All Connected: A Journey Through Test-Time Memorization, Attentional Bias, Retention, and Online Optimization

Reference 8

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Observation 82fd8be3-e8d8-44d4-898e-8719582a8c23 · outbound

This paper cites Titans: Learning to Memorize at Test Time.

ATLAS: Learning to Optimally Memorize the Context at Test Time Titans: Learning to Memorize at Test Time

Reference 9

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Observation 2fc41f3a-7936-4b35-8a07-1b9eedc8bc57 · outbound

This paper cites Low-rank bottleneck in multi-head attention models.

ATLAS: Learning to Optimally Memorize the Context at Test Time Low-rank bottleneck in multi-head attention models

Reference 10

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Observation 20119822-ee70-42c5-b5c6-a5399d0392a1 · outbound

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

ATLAS: Learning to Optimally Memorize the Context at Test Time Birth of a transformer: A memory viewpoint

Reference 11

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Observation 2897e25a-aa78-48b4-a69b-d66969e23613 · outbound

This paper cites Piqa: Reasoning about physical commonsense in natural language.

ATLAS: Learning to Optimally Memorize the Context at Test Time Piqa: Reasoning about physical commonsense in natural language

Reference 12

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Observation ac5a0660-e9f6-4f5b-81d3-0e9d08d6db5c · outbound

This paper cites BoolQ: Exploring the Surprising Difficulty of Natural Yes/No Questions.

ATLAS: Learning to Optimally Memorize the Context at Test Time BoolQ: Exploring the Surprising Difficulty of Natural Yes/No Questions

Reference 13

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Observation 668a9529-3a44-4e85-bd5c-695886be746f · outbound

This paper cites Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge.

ATLAS: Learning to Optimally Memorize the Context at Test Time Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge

Reference 14

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Observation e4ec8455-943b-4016-9a31-e34c9ebf069a · outbound

This paper cites Geometrical and Statistical Properties of Systems of Linear Inequalities with Applications in Pattern Recognition.

ATLAS: Learning to Optimally Memorize the Context at Test Time Geometrical and Statistical Properties of Systems of Linear Inequalities with Applications in Pattern Recognition

Reference 15

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Observation 40965cb2-7fc2-4b3d-9f57-f0a21ebdee0a · outbound

This paper cites Recurrent Neural Networks Learn to Store and Generate Sequences using Non-Linear Representations.

ATLAS: Learning to Optimally Memorize the Context at Test Time Recurrent Neural Networks Learn to Store and Generate Sequences using Non-Linear Representations

Reference 16

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Observation 1b5b940b-226f-41cf-906a-287e62745e47 · outbound

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

ATLAS: Learning to Optimally Memorize the Context at Test Time One-Minute Video Generation with Test-Time Training

Reference 17

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Observation 99d1fc54-21c3-4ff0-95cc-dd031fa6a69e · outbound

This paper cites DROP: A Reading Comprehension Benchmark Requiring Discrete Reasoning Over Paragraphs.

ATLAS: Learning to Optimally Memorize the Context at Test Time DROP: A Reading Comprehension Benchmark Requiring Discrete Reasoning Over Paragraphs

Reference 18

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Observation 12f39fef-2f66-46e0-8d60-94e58761bd1b · outbound

This paper cites Local polynomial modelling and its applications: monographs on statistics and applied probability 66.

ATLAS: Learning to Optimally Memorize the Context at Test Time Local polynomial modelling and its applications: monographs on statistics and applied probability 66

Reference 19

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Observation 6e5852c3-c194-4cd0-b8ad-3d20268f8375 · outbound

This paper cites Towards scalable and stable paralleliza- tion of nonlinear rnns.

ATLAS: Learning to Optimally Memorize the Context at Test Time Towards scalable and stable paralleliza- tion of nonlinear rnns

Reference 20

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Observation 524e251d-7c6c-4168-a79c-d42ae1542b73 · outbound

This paper cites Liquid Structural State-Space Models.

ATLAS: Learning to Optimally Memorize the Context at Test Time Liquid Structural State-Space Models

Reference 21

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Observation 7081f72f-6da4-4bdb-824c-7d48c125f266 · outbound

This paper cites CAMELoT: Towards Large Language Models with Training-Free Consolidated Associative Memory.

ATLAS: Learning to Optimally Memorize the Context at Test Time CAMELoT: Towards Large Language Models with Training-Free Consolidated Associative Memory

Reference 22

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Observation 46335500-f60d-42b6-b155-b0089cdddc03 · outbound

This paper cites The organization of behavior: A neuropsychological theory.

ATLAS: Learning to Optimally Memorize the Context at Test Time The organization of behavior: A neuropsychological theory

Reference 23

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Observation 0f750fee-84bb-43d1-af16-59dc769160c4 · outbound

This paper cites Gaussian Error Linear Units (GELUs).

ATLAS: Learning to Optimally Memorize the Context at Test Time Gaussian Error Linear Units (GELUs)

Reference 24

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Observation 28978044-227a-4024-8128-3b20dc54c6a7 · outbound

This paper cites Neural networks and physical systems with emergent collective computational abilities.

ATLAS: Learning to Optimally Memorize the Context at Test Time Neural networks and physical systems with emergent collective computational abilities

Reference 25

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Observation 4ea50250-8084-4bd3-b683-4f8d306cdd46 · outbound

This paper cites RULER: What’s the Real Context Size of Your Long-Context Language Models?.

ATLAS: Learning to Optimally Memorize the Context at Test Time RULER: What’s the Real Context Size of Your Long-Context Language Models?

Reference 26

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Observation 7845d763-44d0-481a-97aa-0072229a5f4b · outbound

This paper cites Provably Optimal Memory Capacity for Modern Hopfield Models: Transformer-Compatible Dense Associative Memories as Spherical Codes.

ATLAS: Learning to Optimally Memorize the Context at Test Time Provably Optimal Memory Capacity for Modern Hopfield Models: Transformer-Compatible Dense Associative Memories as Spherical Codes

Reference 27

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Observation 739b6c50-a19b-4ec5-ab0a-d80019037671 · outbound

This paper cites Transformer quality in linear time.

ATLAS: Learning to Optimally Memorize the Context at Test Time Transformer quality in linear time

Reference 28

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Observation ee76174c-cceb-47e4-94fb-26adcc39d5a3 · outbound

This paper cites Learning capability and storage capacity of two-hidden-layer feedforward networks.

ATLAS: Learning to Optimally Memorize the Context at Test Time Learning capability and storage capacity of two-hidden-layer feedforward networks

Reference 29

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Observation 793c3aa9-8277-4f16-a887-b3bbd0ec1a74 · outbound

This paper cites Going beyond linear transformers with recurrent fast weight programmers.

ATLAS: Learning to Optimally Memorize the Context at Test Time Going beyond linear transformers with recurrent fast weight programmers

Reference 30

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Observation d9f982d1-524e-4ef8-ab1c-8931065d1d40 · outbound

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ATLAS: Learning to Optimally Memorize the Context at Test Time Muon: An optimizer for hidden layers in neural networks

Reference 31

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Observation 8fa0788f-2e73-49d0-ae33-80eddcaae43b · outbound

This paper cites PolySketchFormer: Fast Transformers via Sketching Polyno- mial Kernels.

ATLAS: Learning to Optimally Memorize the Context at Test Time PolySketchFormer: Fast Transformers via Sketching Polyno- mial Kernels

Reference 32

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Observation c5cb2e5a-5860-4e26-a0b4-a57b615a3ee6 · outbound

This paper cites PolySketchFormer: Fast Transformers via Sketching Polyno- mial Kernels.

ATLAS: Learning to Optimally Memorize the Context at Test Time PolySketchFormer: Fast Transformers via Sketching Polyno- mial Kernels

Reference 33

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Observation c826f42f-2089-4fef-a18e-40fb39da9941 · outbound

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ATLAS: Learning to Optimally Memorize the Context at Test Time Gemma 3 Technical Report

Reference 34

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Observation 7d91f95f-bc61-4607-8621-7e75060c3b99 · outbound

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ATLAS: Learning to Optimally Memorize the Context at Test Time Karami and V

Reference 35

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Observation 8d8a731a-8e09-42a9-a0a3-1003d802ba7d · outbound

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ATLAS: Learning to Optimally Memorize the Context at Test Time Finetuning Pretrained Transformers into RNNs

Reference 36

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Observation 23391a9d-e69b-449e-921f-cd34c2e5537d · outbound

This paper cites Transformers are rnns: Fast au- toregressive transformers with linear attention.

ATLAS: Learning to Optimally Memorize the Context at Test Time Transformers are rnns: Fast au- toregressive transformers with linear attention

Reference 37

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source=pdf_text observed=2026-08-07T12:44:18.953666Z digest=sha256:aa039cbd227c8a92f211f62ce00c2a48dd7244cf086645aaa1002420efa7c0a1

Observation aa3c12a7-8413-4cd5-907f-f3883409c2ec · outbound

This paper cites Are you smarter than a sixth grader? textbook question answering for multimodal machine comprehension.

ATLAS: Learning to Optimally Memorize the Context at Test Time Are you smarter than a sixth grader? textbook question answering for multimodal machine comprehension

Reference 38

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raw_fallback, observed 2026-08-07T12:44:27.526884Z

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T12:44:18.987639Z digest=sha256:7e1dc31026b2feb8802df44dcada1b6bbbef703a05977f45a2f8c797753bd262

Observation 4081d646-69d8-4d30-a368-29927fabab8a · outbound

This paper cites Hierarchical Associative Memory.

ATLAS: Learning to Optimally Memorize the Context at Test Time Hierarchical Associative Memory

Reference 39

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source=pdf_text observed=2026-08-07T12:44:19.057671Z digest=sha256:b5c999149f0804eae1e50f0911eeb7211f5aec8c17f6502585569f799e46837e

Observation d6792b17-e197-4d8d-a6df-7246a1a5f68f · outbound

This paper cites Dense associative memory for pattern recognition.

ATLAS: Learning to Optimally Memorize the Context at Test Time Dense associative memory for pattern recognition

Reference 40

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raw_fallback, observed 2026-08-07T12:44:27.285468Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T12:44:19.129700Z digest=sha256:908229f299971295058e477e64a675741e3a4a86539b4cae6539ad9e1f629ead

Observation 64f56b0d-0c45-43b1-8d7b-159e1968078a · outbound

This paper cites BABILong: Testing the Limits of LLMs with Long Context Reasoning-in-a-Haystack.

ATLAS: Learning to Optimally Memorize the Context at Test Time BABILong: Testing the Limits of LLMs with Long Context Reasoning-in-a-Haystack

Reference 41

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raw_fallback, observed 2026-08-07T12:44:27.071658Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T12:44:19.171684Z digest=sha256:d451e09c5d5a8afb05809f8ebf6b61688ef7092b9cf6c26860ff232d4f837591

Observation 133c760c-983d-4277-bcd8-9feeefb73aeb · outbound

This paper cites Natural questions: a benchmark for question answering research.

ATLAS: Learning to Optimally Memorize the Context at Test Time Natural questions: a benchmark for question answering research

Reference 42

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verified fuzzy
raw_fallback, observed 2026-08-07T12:44:26.865536Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T12:44:19.226676Z digest=sha256:53291eb949a065381a32e06f9779a8cbeaddb1290b4d0ee8d18f00d7b2805632

Observation d0286e43-f346-4113-ae7b-c0b2251fa678 · outbound

This paper cites A Survey on Long Video Generation: Challenges, Methods, and Prospects.

ATLAS: Learning to Optimally Memorize the Context at Test Time A Survey on Long Video Generation: Challenges, Methods, and Prospects

Reference 43

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source=pdf_text observed=2026-08-07T12:44:19.256003Z digest=sha256:e1da04dd06ffde31f2b2779352b3255767b2996835fe1c7efd2e5b0f9165d538

Observation 2b1742e4-6a6a-4b1d-8d07-001280a2a3ca · outbound

This paper cites On the expressive power of modern hopfield networks.

ATLAS: Learning to Optimally Memorize the Context at Test Time On the expressive power of modern hopfield networks

Reference 44

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verified exact
raw_fallback, observed 2026-08-07T12:44:23.136849Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T12:44:19.313998Z digest=sha256:620e98d3fa5d661c66f03913efbbf8c884dde447ad485fac117f43bfe94fe4ea

Observation 0ac28b72-2457-4be5-a606-a2f1ef9ea984 · outbound

This paper cites Parallelizing non-linear sequential models over the sequence length.

ATLAS: Learning to Optimally Memorize the Context at Test Time Parallelizing non-linear sequential models over the sequence length

Reference 45

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raw_fallback, observed 2026-08-07T12:44:26.653974Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T12:44:19.356471Z digest=sha256:e16531ff4d7e6659049338d8b8211d6ea3a13d4a5f8495d1c45059b744962926

Observation 05c998bb-ed52-4e59-a899-a7ab0f404288 · outbound

This paper cites Longhorn: State Space Models are Amortized Online Learners.

ATLAS: Learning to Optimally Memorize the Context at Test Time Longhorn: State Space Models are Amortized Online Learners

Reference 46

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no resolver link, observed 2026-08-07T12:44:19.453499Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-07T12:44:19.453499Z digest=sha256:e84e3df89782bf63e9be0e7648201b36946d6a8f9c9c34d16cfbbfe79719c085

Observation 733a6fbf-dee4-45b7-9d0f-322e9e3efc70 · outbound

This paper cites Lost in the middle: How language models use long contexts.

ATLAS: Learning to Optimally Memorize the Context at Test Time Lost in the middle: How language models use long contexts

Reference 47

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no resolver link, observed 2026-08-07T12:44:19.519237Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:44:19.519237Z digest=sha256:aa6ed1d6ef06b79135df076dcb8aa232c032e2294b48fbb08019f17c8c44348e

Observation 6fa6e836-163a-4c86-b42c-e3317fc857b2 · outbound

This paper cites Openceres: When open information extraction meets the semi-structured web.

ATLAS: Learning to Optimally Memorize the Context at Test Time Openceres: When open information extraction meets the semi-structured web

Reference 48

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verified fuzzy
raw_fallback, observed 2026-08-07T12:44:26.478808Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T12:44:19.568056Z digest=sha256:7c5b246ce6e865390a67538aa41bc07b9d4a16617bc4771d54163e3750db83ce

Observation c7d34e3f-c0b9-4043-bbdf-0ee69f93a960 · outbound

This paper cites Exponential capacity of dense associative memories.

ATLAS: Learning to Optimally Memorize the Context at Test Time Exponential capacity of dense associative memories

Reference 49

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verified fuzzy
raw_fallback, observed 2026-08-07T12:44:26.310069Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T12:44:19.601270Z digest=sha256:870cdd5fe667493110f2d9afe79a5dccd28e4f53cba6e6cc86c1025c04c5dbfa

Observation 4b532e65-6401-4aed-bbb7-1407280480b7 · outbound

This paper cites Pointer Sentinel Mixture Models.

ATLAS: Learning to Optimally Memorize the Context at Test Time Pointer Sentinel Mixture Models

Reference 50

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:44:19.669876Z digest=sha256:55afac022dbd81db4cdd6f4351cacfbd1d7f4c672807763f7094cd92abdf7f9d

Observation 5f9f0d12-02ac-4fed-9332-08789133d1da · outbound

This paper cites The Illusion of State in State-Space Models.

ATLAS: Learning to Optimally Memorize the Context at Test Time The Illusion of State in State-Space Models

Reference 51

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raw_fallback, observed 2026-08-07T12:44:26.179723Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T12:44:19.715469Z digest=sha256:3976fd2c3c0f8f5209742d335d61145bc864dfed3bff9bbcf7126405323e4156

Observation b5f8f91a-b17d-4a34-a3bf-a631215c4aa7 · outbound

This paper cites On the number of linear regions of deep neural networks.

ATLAS: Learning to Optimally Memorize the Context at Test Time On the number of linear regions of deep neural networks

Reference 52

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verified fuzzy
raw_fallback, observed 2026-08-07T12:44:26.074333Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T12:44:19.776045Z digest=sha256:7f3e156ca2e67fc69869ccd48aef373789c52e5a884e2b77f44a2933196a20aa

Observation 91245960-6a1f-4453-9f1c-11d7521d6d0a · outbound

This paper cites Metalearned neural memory.

ATLAS: Learning to Optimally Memorize the Context at Test Time Metalearned neural memory

Reference 53

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-07T12:44:19.812862Z digest=sha256:4e0293d8eeea0b404b774e2e1b416f9b6649626ea3bcd8a480c7d049c4455cc1

Observation 946ce6eb-a336-4616-9864-4809bfcd7af4 · outbound

This paper cites Neural semantic encoders.

ATLAS: Learning to Optimally Memorize the Context at Test Time Neural semantic encoders

Reference 54

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raw_fallback, observed 2026-08-07T12:44:25.953063Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T12:44:19.847621Z digest=sha256:f6fc9eaa7295fc2d4ff920d6c3d02f7776cd35ffecd287580f8497f1423bac7b

Observation 5f0170e4-8f0b-411b-b1f9-ce2b259bc9b4 · outbound

This paper cites The LAMBADA dataset: Word prediction requiring a broad discourse context.

ATLAS: Learning to Optimally Memorize the Context at Test Time The LAMBADA dataset: Word prediction requiring a broad discourse context

Reference 55

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source=pdf_text observed=2026-08-07T12:44:19.889853Z digest=sha256:bacc53b2678fc6bb3b9849f57ed439b557a162c1c817aea060fd621f0ec52936

Observation d2fe2ee8-e9c7-4042-bb9a-7e587d61e46e · outbound

This paper cites On the number of response regions of deep feed forward networks with piece-wise linear activations.

ATLAS: Learning to Optimally Memorize the Context at Test Time On the number of response regions of deep feed forward networks with piece-wise linear activations

Reference 56

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source=pdf_text observed=2026-08-07T12:44:19.929432Z digest=sha256:76db3b708fd198035997e83da6922d9b34d93b8818cad3d1d1094d9b4c074478

Observation 5e0cdc5a-3643-4495-aa2a-fa7d9dc30b80 · outbound

This paper cites The fineweb datasets: Decanting the web for the finest text data at scale.

ATLAS: Learning to Optimally Memorize the Context at Test Time The fineweb datasets: Decanting the web for the finest text data at scale

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:44:25.853611Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T12:44:19.988147Z digest=sha256:8a3752769dcf0a39afa20b0cff1a4ab5ecd6c8ac933e67fed2133e89002f3157

Observation 974dc176-ce33-47c1-ad83-b154d7032256 · outbound

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

ATLAS: Learning to Optimally Memorize the Context at Test Time RWKV: Reinventing RNNs for the Transformer Era

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:44:25.724072Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T12:44:20.016768Z digest=sha256:6aa8c8f5af8b60f8f7df6d24aa458f736ac19a705b1311dcf1c35eaac1f294fe

Observation 587451e4-bf4c-4904-8f24-b5dbaf727e39 · outbound

This paper cites Eagle and Finch: RWKV with Matrix-Valued States and Dynamic Recurrence.

ATLAS: Learning to Optimally Memorize the Context at Test Time Eagle and Finch: RWKV with Matrix-Valued States and Dynamic Recurrence

Reference 59

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-07T12:44:20.061247Z digest=sha256:d4a9583382a0ada240a142c146b8922320b840afdef5e3b875089a7d8f1c1cbf

Observation c99c4a40-abb0-4a5b-85b8-9531e0d73adb · outbound

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

ATLAS: Learning to Optimally Memorize the Context at Test Time RWKV-7 "Goose" with Expressive Dynamic State Evolution

Reference 60

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source=pdf_text observed=2026-08-07T12:44:20.131118Z digest=sha256:7faeb404d626ae0ef45ff0517896ff6728d9bcdb3f6413ae39b8f6dc0bfe3525

Observation a74b312b-ed80-467d-89fe-9b54d11ce7f4 · outbound

This paper cites Mechanistic Design and Scaling of Hybrid Architectures.

ATLAS: Learning to Optimally Memorize the Context at Test Time Mechanistic Design and Scaling of Hybrid Architectures

Reference 61

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source=pdf_text observed=2026-08-07T12:44:20.173527Z digest=sha256:f8cbd68db97aa08f6541da35045a30a8144ddb7627c5c180975ccf810f9d1646

Observation f4e36aea-7c8a-4f12-a9e4-b3dd25d0d819 · outbound

This paper cites Neural network capacity using delta rule.

ATLAS: Learning to Optimally Memorize the Context at Test Time Neural network capacity using delta rule

Reference 62

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:44:20.211189Z digest=sha256:072f59e27a04061a83abb3835a196f3f786199c818752a7e3f1c11266e082810

Observation 4e8ec45d-f332-48d7-8ecb-2ddd75252ab7 · outbound

This paper cites SQuAD: 100,000+ Questions for Machine Comprehension of Text.

ATLAS: Learning to Optimally Memorize the Context at Test Time SQuAD: 100,000+ Questions for Machine Comprehension of Text

Reference 63

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no resolver link, observed 2026-08-07T12:44:20.272009Z

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source=pdf_text observed=2026-08-07T12:44:20.272009Z digest=sha256:a8437c8376a92d154228e03d5504b17d2d7e377b4795a84283c06f35215d0b11

Observation 77532529-3e2a-46e7-8457-a48f3f4d420a · outbound

This paper cites Hopfield Networks is All You Need.

ATLAS: Learning to Optimally Memorize the Context at Test Time Hopfield Networks is All You Need

Reference 64

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raw_fallback, observed 2026-08-07T12:44:25.581649Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T12:44:20.377975Z digest=sha256:5da3c2c520c72e4526a90623472eca22e90de3c5044eb610bc61dde15759d1d6

Observation d8217d6e-6a6e-4252-8ef6-aa80903612cd · outbound

This paper cites Samba: Simple Hybrid State Space Models for Efficient Unlimited Context Language Modeling.

ATLAS: Learning to Optimally Memorize the Context at Test Time Samba: Simple Hybrid State Space Models for Efficient Unlimited Context Language Modeling

Reference 65

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no resolver link, observed 2026-08-07T12:44:20.430533Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:44:20.430533Z digest=sha256:ac3fbe6206c4ac537c1fbe5d16486222fd16ec95ff04506202bacd0cd092db0c

Observation 4b46b00c-896d-4170-a50d-ac0eb27a2f5c · outbound

This paper cites Winogrande: An adversarial winograd schema challenge at scale.

ATLAS: Learning to Optimally Memorize the Context at Test Time Winogrande: An adversarial winograd schema challenge at scale

Reference 66

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source=pdf_text observed=2026-08-07T12:44:20.493286Z digest=sha256:6b2b3e836252e8cdc716c9691c947c31763b31d0bfdd391b31e16b3912b1600b

Observation e0f0c553-4199-4444-922d-9b2cb0171f7b · outbound

This paper cites Social IQa: Commonsense Reasoning about Social Interactions.

ATLAS: Learning to Optimally Memorize the Context at Test Time Social IQa: Commonsense Reasoning about Social Interactions

Reference 67

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:44:20.530569Z digest=sha256:9cba8134364286d7366627ce808fb3834245d94cbebc3cc54d679e5ee72e363c

Observation 97196d38-addb-4102-b3fb-c4afe3fea3d4 · outbound

This paper cites The dynamics of gradient descent for overparametrized neural networks.

ATLAS: Learning to Optimally Memorize the Context at Test Time The dynamics of gradient descent for overparametrized neural networks

Reference 68

Resolution
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raw_fallback, observed 2026-08-07T12:44:25.438522Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T12:44:20.625060Z digest=sha256:83aa7fd164d0dd448916c16c685779a6a1e240240cb0188d16131deea39fbb49

Observation a515b57b-a624-4168-bbdd-b65db70e3b07 · outbound

This paper cites Linear transformers are secretly fast weight programmers.

ATLAS: Learning to Optimally Memorize the Context at Test Time Linear transformers are secretly fast weight programmers

Reference 69

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no resolver link, observed 2026-08-07T12:44:20.715932Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:44:20.715932Z digest=sha256:6fd0e3034a64f6dcfcfb4293b8453c29b2300a54c913df2d34ac282839159cd7

Observation 42d04739-edbd-4e5a-8cdd-7f71730a0d97 · outbound

This paper cites Learning to control fast-weight memories: An alternative to recurrent nets. Accepted for publication in.

ATLAS: Learning to Optimally Memorize the Context at Test Time Learning to control fast-weight memories: An alternative to recurrent nets. Accepted for publication in

Reference 70

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:44:20.846440Z digest=sha256:507d5ae7371f79a5985cb737f85957a7b7560fada55fdfe1dd026d6e488a94f3

Observation bca0de13-8979-42ba-babb-00f13ccec444 · outbound

This paper cites Reducing the ratio between learning complexity and number of time varying variables in fully recurrent nets.

ATLAS: Learning to Optimally Memorize the Context at Test Time Reducing the ratio between learning complexity and number of time varying variables in fully recurrent nets

Reference 71

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no resolver link, observed 2026-08-07T12:44:20.918564Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:44:20.918564Z digest=sha256:72eab901d9d4f81d18f1c1c16c3f4ec5cf008e00a90d17c1dd5d5a22416247b2

Observation 396bfd40-031a-49c4-95f0-bbcae3bb32d5 · outbound

This paper cites Long Short-term Memory.

ATLAS: Learning to Optimally Memorize the Context at Test Time Long Short-term Memory

Reference 72

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:44:20.959169Z digest=sha256:2b994b4d5aafd5ff233b92c663762310434a5704aa6dcc26ed4273d8371df300

Observation cb60a949-6fa9-4c1a-a706-3c27e74e4216 · outbound

This paper cites Implicit Language Models are RNNs: Balancing Parallelization and Expressivity.

ATLAS: Learning to Optimally Memorize the Context at Test Time Implicit Language Models are RNNs: Balancing Parallelization and Expressivity

Reference 73

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no resolver link, observed 2026-08-07T12:44:21.006670Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:44:21.006670Z digest=sha256:25207f3ee90ee9f6eaffda679afc494059ca2d7c4411e713c23f6e6ca7ea11c8

Observation 9674b266-1441-44c7-8df8-4c3b6f29e33b · outbound

This paper cites Adjustment of an inverse matrix corresponding to a change in one element of a given matrix.

ATLAS: Learning to Optimally Memorize the Context at Test Time Adjustment of an inverse matrix corresponding to a change in one element of a given matrix

Reference 74

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verified fuzzy
raw_fallback, observed 2026-08-07T12:44:25.308331Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T12:44:21.053778Z digest=sha256:3bb46c176ed45920a6a7f4075eef2575cc88cab55470827e45a851c15604cfd3

Observation 19a7f80a-5a87-4d90-bf05-f6ffab0ea947 · outbound

This paper cites DeltaProduct: Increasing the Expressivity of DeltaNet Through Products of Householders.

ATLAS: Learning to Optimally Memorize the Context at Test Time DeltaProduct: Increasing the Expressivity of DeltaNet Through Products of Householders

Reference 75

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source=pdf_text observed=2026-08-07T12:44:21.099935Z digest=sha256:648fad122b172fd0d49454af8f625076ce58af45bb5ce686795dca2e41e6c17d

Observation f534dec2-59b2-4ad6-9365-424e8d16a5ff · outbound

This paper cites Simplified State Space Layers for Sequence Modeling.

ATLAS: Learning to Optimally Memorize the Context at Test Time Simplified State Space Layers for Sequence Modeling

Reference 76

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T12:44:21.296107Z digest=sha256:3b2e17c816e81ebde6b0ce76db5540237807db9124d4d5cae98749dcabb54ecf

Observation 365dfb05-c86b-4015-b11f-8730592e98f8 · outbound

This paper cites Learning to (Learn at Test Time): RNNs with Expressive Hidden States.

ATLAS: Learning to Optimally Memorize the Context at Test Time Learning to (Learn at Test Time): RNNs with Expressive Hidden States

Reference 77

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source=pdf_text observed=2026-08-07T12:44:21.337486Z digest=sha256:3622f8e431b29a92213b1c3a20e196c91b560a47315997f154347d4aa411534a

Observation 9d833f32-d747-4719-9b7f-123fe2bc36fc · outbound

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

ATLAS: Learning to Optimally Memorize the Context at Test Time Retentive Network: A Successor to Transformer for Large Language Models

Reference 78

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source=pdf_text observed=2026-08-07T12:44:21.379960Z digest=sha256:d318a801141c63712adbb21fd2fa1fccaa8c2cb529beb034acd66b07909d3ed1

Observation baeed0a2-d8f7-4810-96ed-3bad0a7f7f12 · outbound

This paper cites Learning and memory: Basic principles, processes, and procedures.

ATLAS: Learning to Optimally Memorize the Context at Test Time Learning and memory: Basic principles, processes, and procedures

Reference 79

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source=pdf_text observed=2026-08-07T12:44:21.445209Z digest=sha256:03401fdb185ece358a95fde972e72d22a7d20ecc85d2af0d4c7ffa6005a1471d

Observation 14ed0c6c-f08c-4870-bdc7-f84da380ce5e · outbound

This paper cites On the Resurgence of Recurrent Models for Long Sequences -- Survey and Research Opportunities in the Transformer Era.

ATLAS: Learning to Optimally Memorize the Context at Test Time On the Resurgence of Recurrent Models for Long Sequences -- Survey and Research Opportunities in the Transformer Era

Reference 80

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source=pdf_text observed=2026-08-07T12:44:21.493894Z digest=sha256:c29e1432ba57b8508ae59f518c561a04e2d49d4bd85135018616382f38244ee4

Observation f8b33804-d530-4353-bdd1-590e87cc07c8 · outbound

This paper cites Attention is All you Need.

ATLAS: Learning to Optimally Memorize the Context at Test Time Attention is All you Need

Reference 81

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T12:44:21.551009Z digest=sha256:fd64a2550d3a51644cde136b968b295d38dbff8cdc9b9ff4ac04b2c462c33e95

Observation ee67979d-b995-4e61-9598-ffee220492d9 · outbound

This paper cites Uncovering mesa-optimization algorithms in Transformers.

ATLAS: Learning to Optimally Memorize the Context at Test Time Uncovering mesa-optimization algorithms in Transformers

Reference 82

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source=pdf_text observed=2026-08-07T12:44:21.592813Z digest=sha256:67e7e6931a40bf71f8bf585f0d60a87cd77c1afbbab426bd36d7790ebc65230b

Observation 1d178049-daf8-48e6-a22e-b814077725a1 · outbound

This paper cites Test-time regression: a unifying framework for designing sequence models with associative memory.

ATLAS: Learning to Optimally Memorize the Context at Test Time Test-time regression: a unifying framework for designing sequence models with associative memory

Reference 83

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source=pdf_text observed=2026-08-07T12:44:21.637138Z digest=sha256:0998ce512f6ad255f22073e64b5d01fffa03c85d40fe9a1614b5c7c9db7f0c1f

Observation 15264af3-557b-4134-b0e0-a07671cd254f · outbound

This paper cites RNNs are not Transformers (Yet): The Key Bottleneck on In-context Retrieval.

ATLAS: Learning to Optimally Memorize the Context at Test Time RNNs are not Transformers (Yet): The Key Bottleneck on In-context Retrieval

Reference 84

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source=pdf_text observed=2026-08-07T12:44:21.680275Z digest=sha256:ae157cba18a8b962378204c38062545152d159bb3d9b2f6059a2feaa536c0cdc

Observation 6db8b652-f0b7-4ee9-bf38-63011a2a5715 · outbound

This paper cites Adaptive switching circuits.

ATLAS: Learning to Optimally Memorize the Context at Test Time Adaptive switching circuits

Reference 85

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raw_fallback, observed 2026-08-07T12:44:25.007354Z

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source=pdf_text observed=2026-08-07T12:44:21.776773Z digest=sha256:aff2f73ad14a72448f8bcafefc9fd678cac583ea7ece5823e1e747c9615ca76c

Observation 2a55f7dc-3155-492e-aa39-565dd20d6f28 · outbound

This paper cites Non-holographic associative memory.

ATLAS: Learning to Optimally Memorize the Context at Test Time Non-holographic associative memory

Reference 86

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raw_fallback, observed 2026-08-07T12:44:24.919268Z

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T12:44:21.893375Z digest=sha256:e473d1a4718a19fb9582f504ebda7725c756cb0d2d485940b9e3e5d0267efabe

Observation d3daed30-902b-4794-be2a-b3dccf7d7a1e · outbound

This paper cites Gated Delta Networks: Improving Mamba2 with Delta Rule.

ATLAS: Learning to Optimally Memorize the Context at Test Time Gated Delta Networks: Improving Mamba2 with Delta Rule

Reference 87

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source=pdf_text observed=2026-08-07T12:44:21.969608Z digest=sha256:48aed66445ad50b03db84e4b1e38b1380792e484ed37881550c5c7f68395341d

Observation 5d870039-d0b8-439b-be1c-506dea357cc3 · outbound

This paper cites Gated Linear Attention Transformers with Hardware-Efficient Training.

ATLAS: Learning to Optimally Memorize the Context at Test Time Gated Linear Attention Transformers with Hardware-Efficient Training

Reference 88

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source=pdf_text observed=2026-08-07T12:44:22.006192Z digest=sha256:399467402cbba85b0d233199d1dc3e5737e4c799b815ebf856e2066ebb6d9673

Observation 044357a8-ec67-47f6-846e-b494654f5cac · outbound

This paper cites Parallelizing linear transformers with the delta rule over sequence length.

ATLAS: Learning to Optimally Memorize the Context at Test Time Parallelizing linear transformers with the delta rule over sequence length

Reference 89

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source=pdf_text observed=2026-08-07T12:44:22.059467Z digest=sha256:ef2390f00e1c82a594c6a85233c28af89defea0eabb25bc4ee644ba8bb1463b1

Observation 2effa81f-02e4-420f-82be-61694b84a7fb · outbound

This paper cites HellaSwag: Can a Machine Really Finish Your Sentence?.

ATLAS: Learning to Optimally Memorize the Context at Test Time HellaSwag: Can a Machine Really Finish Your Sentence?

Reference 90

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source=pdf_text observed=2026-08-07T12:44:22.122924Z digest=sha256:3284a604be501c4222754e8f644498dcf9b1e0890d73ad1b00012214a7276509

Observation 79dcd8b9-279d-4050-96f4-ef5abcf90655 · outbound

This paper cites An Analysis of Attention via the Lens of Exchangeability and Latent Variable Models.

ATLAS: Learning to Optimally Memorize the Context at Test Time An Analysis of Attention via the Lens of Exchangeability and Latent Variable Models

Reference 91

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source=pdf_text observed=2026-08-07T12:44:22.157650Z digest=sha256:a1135382689b90934a7a2bbfb2271d2f2c328f4390f9ce20062c2fda73c4245f

Observation 132f558f-4928-4074-aa66-eebf42b34df9 · outbound

This paper cites In the inner optimization loop, all other parameters from the model are considered hyperparameters and are fixed and not optimized.

ATLAS: Learning to Optimally Memorize the Context at Test Time In the inner optimization loop, all other parameters from the model are considered hyperparameters and are fixed and not optimized

Reference 92

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raw_fallback, observed 2026-08-07T12:44:24.714316Z

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T12:44:22.189805Z digest=sha256:a7878e96c4b8b7786e2cd2c399d1ba6c7c95f3230338bf99bda124adbb235394

Observation 9cf26443-72a9-490e-b70d-0d950d96d135 · outbound

This paper cites B.1 Examples As an example, one can define the linear attention as the optimization of dot-product similarity with gradient descent: i.e., ˜ℓ𝑡 :=⟨M𝑡−1k𝑡, v𝑡⟩.

ATLAS: Learning to Optimally Memorize the Context at Test Time B.1 Examples As an example, one can define the linear attention as the optimization of dot-product similarity with gradient descent: i.e., ˜ℓ𝑡 :=⟨M𝑡−1k𝑡, v𝑡⟩

Reference 93

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source=pdf_text observed=2026-08-07T12:44:22.219291Z digest=sha256:24902974b1ce659f711eac09b43370d25d066b15971d01a233806769ea04eb3f

Observation b48a6b58-038f-4493-9b60-f4cbf20db67f · outbound

This paper cites low-rank bottleneck.

ATLAS: Learning to Optimally Memorize the Context at Test Time low-rank bottleneck

Reference 94

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raw_fallback, observed 2026-08-07T12:44:24.530274Z

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T12:44:22.288669Z digest=sha256:45f1f9a3cb44bc0a3680685a15b4222c51003023229810b3147995c7e82ec412

Observation 53a32e66-7ba3-4441-97aa-e1abd61b05e4 · outbound

This paper cites D.4 Atlas In the Atlas, we use the same internal objective as OmegaNet but we optimize it using Muon optimizer (Jordan et al.

ATLAS: Learning to Optimally Memorize the Context at Test Time D.4 Atlas In the Atlas, we use the same internal objective as OmegaNet but we optimize it using Muon optimizer (Jordan et al

Reference 95

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raw_fallback, observed 2026-08-07T12:44:24.458134Z

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T12:44:22.365133Z digest=sha256:d0699be0fb211e8d265fb24f20c821fcc43a3aa1b2276e1601b4bd72a9f572d9

Observation b228bbde-34a0-4792-bf98-1432bc98f866 · outbound

This paper cites 2025; Behrouz, Zhong, et al.

ATLAS: Learning to Optimally Memorize the Context at Test Time 2025; Behrouz, Zhong, et al

Reference 97

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T12:44:22.521728Z digest=sha256:ee111fe19a30482809e3c54e1d97977825be316f5c437a2961e7f32f25c7fddd

Observation a5c0f29f-ed0b-4b9c-b719-ddc729cd0a78 · outbound

This paper cites an unresolved cited work.

ATLAS: Learning to Optimally Memorize the Context at Test Time Unresolved cited work

Reference 98

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T12:44:22.594242Z digest=sha256:036865c76697669c65f8c12a97e964d7aa5278734b83f59d0e36a188cc1e544e

Observation 161926fb-025d-4049-8c7e-2313b36ac155 · outbound

This paper cites That is, M𝑡 =𝛼𝑡M𝑡−1+ Newton-schulz5(S𝑡) (57) S𝑡 =𝜃𝑡S𝑡−1− 𝑡∑︁ 𝑖=𝑡−𝑐+1 𝜂(𝑡) 𝑖 ∇∥M𝑡−1(𝜙(k𝑖))− v𝑖∥2.

ATLAS: Learning to Optimally Memorize the Context at Test Time That is, M𝑡 =𝛼𝑡M𝑡−1+ Newton-schulz5(S𝑡) (57) S𝑡 =𝜃𝑡S𝑡−1− 𝑡∑︁ 𝑖=𝑡−𝑐+1 𝜂(𝑡) 𝑖 ∇∥M𝑡−1(𝜙(k𝑖))− v𝑖∥2

Reference 2024

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T12:44:22.464229Z digest=sha256:7eefb76f40e7036ba9ed754b113940a6ae9fd45a3a98f3790b5fea2628c3df66

Pith citing papers

Observation f2dd94e4-9d53-4bf0-83ce-caa112890040 · inbound

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

MesaNet: Sequence Modeling by Locally Optimal Test-Time Training ATLAS: Learning to Optimally Memorize the Context at Test Time

Reference 12

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source=arxiv_source observed=2026-08-07T10:30:12.623623Z digest=sha256:866a1cf28e7fd9eccd560d4c7b8771d0f048c73e60ff68062ed282e4314f927e

Observation ee45897e-512b-43a3-b607-1404e6d70a17 · inbound

Cartridges: Lightweight and general-purpose long context representations via self-study cites this paper.

Cartridges: Lightweight and general-purpose long context representations via self-study ATLAS: Learning to Optimally Memorize the Context at Test Time

Reference 9

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source=pdf_text observed=2026-08-07T06:04:25.586717Z digest=sha256:17dddde0fbb4bdc5f1e2204e0b67cb4993d0719f18fd329d1efe1d9f2b039363

Observation c89d7533-c696-400b-9181-df9087f04c47 · inbound

A Survey on Latent Reasoning cites this paper.

A Survey on Latent Reasoning ATLAS: Learning to Optimally Memorize the Context at Test Time

Reference 4

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source=arxiv_source observed=2026-08-06T19:14:22.085476Z digest=sha256:7ba31db7694420e25240ae4b007cc2a3055cc84d7b68d569c8ccbcfedab2f762

Observation d58973ec-a760-467b-868e-1c3284144ef1 · inbound

Memory-Augmented Transformers: A Systematic Review from Neuroscience Principles to Enhanced Model Architectures cites this paper.

Memory-Augmented Transformers: A Systematic Review from Neuroscience Principles to Enhanced Model Architectures ATLAS: Learning to Optimally Memorize the Context at Test Time

Reference 7

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T20:15:47.537098Z digest=sha256:40d6a892d543d7110650aa1de069bdae47a737f4c7f7d0136fe2c6e2722f3a2f

Observation 0a88c6d3-38f2-435a-81e3-042c953e7f23 · inbound

Kimi Linear: An Expressive, Efficient Attention Architecture cites this paper.

Kimi Linear: An Expressive, Efficient Attention Architecture ATLAS: Learning to Optimally Memorize the Context at Test Time

Reference 8

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arxiv_id, observed 2026-05-13T23:49:10.676753Z

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-13T23:49:10.555255Z digest=sha256:33f9e8cf1204bfd38123efcb39aee62d5836f05fa3d46d85f933ed23840cfa7f

Observation d6a80bfe-9f95-4cb2-8fb6-68872621c452 · inbound

Higher-order Linear Attention cites this paper.

Higher-order Linear Attention ATLAS: Learning to Optimally Memorize the Context at Test Time

Reference 2

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arxiv_id, observed 2026-05-18T03:05:47.411914Z

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-18T03:05:35.823369Z digest=sha256:cd511a2504b4eda01cd10fab72d7b9d4bd392d287f9cc9cbdef68bfcd6603d4c

Observation 7d74f784-2f8c-47a7-99cd-18d493e89dfc · inbound

Q-RAG: Long Context Multi-step Retrieval via Value-based Embedder Training cites this paper.

Q-RAG: Long Context Multi-step Retrieval via Value-based Embedder Training ATLAS: Learning to Optimally Memorize the Context at Test Time

Reference 3

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verified exact
arxiv_id, observed 2026-05-17T23:30:29.428699Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-17T23:27:49.126341Z digest=sha256:154edeea59a80f4dc37c023adf2b57d1d751db3fe636c86833609bd7e4375242

Observation a5fcc9cd-c013-4449-803f-49397af597da · inbound

ViT$^3$: Unlocking Test-Time Training in Vision cites this paper.

ViT$^3$: Unlocking Test-Time Training in Vision ATLAS: Learning to Optimally Memorize the Context at Test Time

Reference 2

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arxiv_id, observed 2026-05-17T03:01:28.565265Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-17T02:59:42.731098Z digest=sha256:6930d5362996d85a009357abc66677cbb947b576b6a133b65e2605cdc49dfb15

Observation adbfb8f6-052b-4c57-ac12-f011add2e287 · inbound

Test-Time Training with KV Binding Is Secretly Linear Attention cites this paper.

Test-Time Training with KV Binding Is Secretly Linear Attention ATLAS: Learning to Optimally Memorize the Context at Test Time

Reference 2

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verified exact
arxiv_id, observed 2026-05-15T19:41:32.751261Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-15T19:40:35.854519Z digest=sha256:7e88c1a2e9b9aa66477421ca4036892faca9685e91a86a95449262ac9470517d

Observation 1c34e7f2-9bc9-4425-a69e-3ee15492f910 · inbound

Beyond Test-Time Memory: State-Space Optimal Control for LLM Reasoning cites this paper.

Beyond Test-Time Memory: State-Space Optimal Control for LLM Reasoning ATLAS: Learning to Optimally Memorize the Context at Test Time

Reference 3

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unresolved
no resolver link, observed 2026-07-15T12:09:16.468055Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-15T12:09:16.468055Z digest=sha256:e43de113217f55b3e8546d73026551323bee0d94d05d4afc842829a3a62dd514

Observation 45713797-2934-4b8d-82ea-231ba4c3b630 · inbound

Mem3R: Streaming 3D Reconstruction with Hybrid Memory via Test-Time Training cites this paper.

Mem3R: Streaming 3D Reconstruction with Hybrid Memory via Test-Time Training ATLAS: Learning to Optimally Memorize the Context at Test Time

Reference 5

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verified exact
arxiv_id, observed 2026-05-11T00:25:50.747862Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-10T18:32:42.456629Z digest=sha256:3580379a05079361528422d63e63d3e3cf1022e81ce1ccd70698cc5137e25e68

Observation 9ca0a74b-540b-4f02-a3a8-ce6baf61bc81 · inbound

Fast Spatial Memory with Elastic Test-Time Training cites this paper.

Fast Spatial Memory with Elastic Test-Time Training ATLAS: Learning to Optimally Memorize the Context at Test Time

Reference 3

Resolution
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arxiv_id, observed 2026-05-11T00:35:50.000298Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-10T18:27:24.750995Z digest=sha256:02f43c61702fcfb02e3f78b310a54c2519a03c55f619ad4cf2995736391ee0df

Observation 5170ae57-cfc2-42ad-9ecf-98d60cbc82cf · inbound

DexWorldModel: Causal Latent World Modeling towards Automated Learning of Embodied Tasks cites this paper.

DexWorldModel: Causal Latent World Modeling towards Automated Learning of Embodied Tasks ATLAS: Learning to Optimally Memorize the Context at Test Time

Reference 2

Resolution
verified exact
arxiv_id, observed 2026-05-11T08:20:59.486932Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-10T16:42:34.639008Z digest=sha256:8dd94d7ac3940b0f89ed34b8ea9bb183a1a778e3688d97a61d66c9c47addc728

Observation 939b283f-c44a-4a6f-9de8-66075a7d0af4 · inbound

Training LLM Agents for Spontaneous, Reward-Free Self-Evolution via World Knowledge Exploration cites this paper.

Training LLM Agents for Spontaneous, Reward-Free Self-Evolution via World Knowledge Exploration ATLAS: Learning to Optimally Memorize the Context at Test Time

Reference 36

Resolution
verified exact
arxiv_id, observed 2026-05-10T12:10:23.480004Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-10T04:36:27.381942Z digest=sha256:f8da40adedea357d719d87607e2927234f249576b5abc8a480a6414e05a0b54f

Observation 80e48216-9297-4d91-99d5-4ad77f3262de · inbound

Preconditioned DeltaNet: Curvature-aware Sequence Modeling for Linear Recurrences cites this paper.

Preconditioned DeltaNet: Curvature-aware Sequence Modeling for Linear Recurrences ATLAS: Learning to Optimally Memorize the Context at Test Time

Reference 7

Resolution
verified exact
arxiv_id, observed 2026-05-10T00:19:46.550020Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-05-10T00:19:24.366922Z digest=sha256:9a7d238a23655ee926f419c49d0efb23fb5798743105dbb16c48584c8c3063a6

Observation fe4e1de6-140d-42b0-bfa5-f62fe14c6766 · inbound

Linearizing Vision Transformer with Test-Time Training cites this paper.

Linearizing Vision Transformer with Test-Time Training ATLAS: Learning to Optimally Memorize the Context at Test Time

Reference 2

Resolution
verified exact
arxiv_id, observed 2026-05-09T06:25:48.704906Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-08T18:25:48.672665Z digest=sha256:243757d24dce6cc0fb4bab3df31ae37b71b93892a379d16bd2f8ef10adb5db24

Observation 53f23a17-aaae-4e4d-adf4-d85a644a9342 · inbound

Linearizing Vision Transformer with Test-Time Training cites this paper.

Linearizing Vision Transformer with Test-Time Training ATLAS: Learning to Optimally Memorize the Context at Test Time

Reference 2

Resolution
verified exact
arxiv_id, observed 2026-07-01T00:45:12.477760Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-07-01T00:25:41.438482Z digest=sha256:e72b0f1e3715801655c14428b059e574572f5b3ee6336b17ab6706a6efa7d952

Observation 375b403f-05fe-4862-b9f6-83e1e723134f · inbound

MDN: Parallelizing Stepwise Momentum for Delta Linear Attention cites this paper.

MDN: Parallelizing Stepwise Momentum for Delta Linear Attention ATLAS: Learning to Optimally Memorize the Context at Test Time

Reference 40

Resolution
verified exact
arxiv_id, observed 2026-05-11T16:41:11.660371Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-05-09T15:27:55.566795Z digest=sha256:6f44c89f6a0758bda8b3b63922480d51d63a5fd538a3c1d3552833350aa3e3be

Observation 5fd9483a-c6aa-4b2c-8e1e-7c934fb8e84f · inbound

OSDN: Improving Delta Rule with Provable Online Preconditioning in Linear Attention cites this paper.

OSDN: Improving Delta Rule with Provable Online Preconditioning in Linear Attention ATLAS: Learning to Optimally Memorize the Context at Test Time

Reference 11

Resolution
verified exact
arxiv_id, observed 2026-05-14T19:09:23.240619Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-14T19:08:18.768344Z digest=sha256:d7c8bd586362c5196198dfcdeef4b441a6c86290c8d2f8bb8c181046cb9e6ac1

Observation 89184193-11d1-49e8-b5f6-246a204ef326 · inbound

Memory by Design: Probabilistic Sequence Layers cites this paper.

Memory by Design: Probabilistic Sequence Layers ATLAS: Learning to Optimally Memorize the Context at Test Time

Reference 4

Resolution
verified exact
arxiv_id, observed 2026-07-01T20:26:12.812167Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-06-28T21:07:31.407554Z digest=sha256:42e6fba0f2fe9026dcea42b817c214199da0b27424e9383229b561a692793a44

Observation 904ba499-d49e-4ed0-ab7c-99a2e777c153 · inbound

AURA: Action-Gated Memory for Robot Policies at Constant VRAM cites this paper.

AURA: Action-Gated Memory for Robot Policies at Constant VRAM ATLAS: Learning to Optimally Memorize the Context at Test Time

Reference 6

Resolution
verified exact
arxiv_id, observed 2026-07-01T23:16:24.348200Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-28T14:30:49.006075Z digest=sha256:47cb344bc92a52830eb514f90fcded9b8f048254532022002d779c480a7f2d3b

Observation 439563a3-65ad-4d31-9745-b4944eddb58a · inbound

Tapered Language Models cites this paper.

Tapered Language Models ATLAS: Learning to Optimally Memorize the Context at Test Time

Reference 5

Resolution
verified exact
arxiv_id, observed 2026-07-04T10:09:44.024836Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-26T09:11:20.341634Z digest=sha256:785b4a12d98c5264859b908cc705b25990fdaefa7248384913bd331b6ea8a4f2

Observation 09523bad-258d-4fa7-b08a-d0e83fe52654 · inbound

Lifelong In-Context Learning with Transformers Requires Parametric Forms of Attention cites this paper.

Lifelong In-Context Learning with Transformers Requires Parametric Forms of Attention ATLAS: Learning to Optimally Memorize the Context at Test Time

Reference 7

Resolution
verified exact
arxiv_id, observed 2026-07-04T19:30:07.284085Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-25T21:19:30.138022Z digest=sha256:214c6478c41b609ae078046ab7248a7be7cdb683a6c655c3098d1b7d8ca0e3a8

Observation 4de715e5-6bbe-4e3b-9aa6-a1f599f6a80b · inbound

Beyond Perplexity: A Behavioral Evaluation Framework for Deployment-Memory Claims in LLM Test-Time Training cites this paper.

Beyond Perplexity: A Behavioral Evaluation Framework for Deployment-Memory Claims in LLM Test-Time Training ATLAS: Learning to Optimally Memorize the Context at Test Time

Reference 5

Resolution
verified exact
arxiv_id, observed 2026-07-02T13:46:58.724354Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-07-02T13:44:24.020016Z digest=sha256:cca51b2957c727ecaeeee3ddcb12387862e0a7877cb6664da6e0f6aac57dfb18

Observation 3ca04100-6fb7-408f-ace7-23151fb44e94 · inbound

Black-Mamba: Biologically-Inspired Leaky Accumulation for Conceptual Knowledge under Distribution Drift cites this paper.

Black-Mamba: Biologically-Inspired Leaky Accumulation for Conceptual Knowledge under Distribution Drift ATLAS: Learning to Optimally Memorize the Context at Test Time

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-01T14:02:33.967496Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T14:02:33.967496Z digest=sha256:fc8b22918cb955e4a3a2446e962a12f91cbc5c3c82f31992ba9bb6723145555f

Observation 95c165b9-5fa4-4c95-94d3-e8bb32be50bf · inbound

Memoir: Should a Model Write to Its Memory While It Thinks? cites this paper.

Memoir: Should a Model Write to Its Memory While It Thinks? ATLAS: Learning to Optimally Memorize the Context at Test Time

Reference 2021

Resolution
unresolved
no resolver link, observed 2026-08-01T09:25:22.804234Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T09:25:22.804234Z digest=sha256:73c70d4a07287bbbec2e671350eba604600459015e9d7016a88151bacfd2f5eb