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Paper Citation Record · LEDGER

ATLAS: Learning to Optimally Memorize the Context at Test Time

As of 18 August 2026, this Paper Citation Record lists 98 of 98 outbound references and 28 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 126 of 126 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 28 of 28 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T16:33:18.786654Z

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

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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

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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

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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

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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=sha256:3dc472fc50a373206987d73ffaa2d08c3e0ae52b4948c03670795d9b8b4b1fb4

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T12:44:18.987639Z digest=sha256:5a77646513c51687a5a92bf9bd379aad1dfaa1be774270db293d45447f50375f

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:f30e065019e2459a89c284a3217037c1355b695444bb9875be4eebe7e8076172

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

Resolution
verified fuzzy
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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T12:44:19.129700Z digest=sha256:91d4aade788c1f65af246088d41c07e901bba3f0b748b689890ff632f52a200f

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T12:44:19.171684Z digest=sha256:a342fd8b70e2a05b0d0b9ae7c83e3e78b09a6bc5b680d7ca3a8867708f5991b4

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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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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T12:44:19.226676Z digest=sha256:6f2b27020cfbf1696b8c334bbc212ee08bb1196046bd741db940a6a934049b81

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=sha256:7b36c2f77f93c72af122a4533f8525f96042f58fb6080be5a743dec7962d78f0

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T12:44:19.313998Z digest=sha256:a720772fbea70c89b4b177ee53f5524b8fc6257ba9f17a94aba183433f24c670

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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verified fuzzy
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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T12:44:19.356471Z digest=sha256:1d47268f905ee6e6669402ff1e6d14520e89dd175780a39b4b9f3ae159f7416f

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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Source-reported events for the cited work

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source=pdf_text observed=2026-08-07T12:44:19.453499Z digest=sha256:ef707bfa97ca96bcb48f9a7b3d71b2af453824972befcaf637399b704a176725

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

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source=pdf_text observed=2026-08-07T12:44:19.519237Z digest=sha256:ae076a5dd789da28ee48ca556702960cb1ab4fee0b9f66648227b2b82ad67fa9

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T12:44:19.568056Z digest=sha256:c7ea39fef0fecc3ece79345aa33b27ab0b1c5ae497674ecd6af6444fbb43b0a2

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T12:44:19.601270Z digest=sha256:5d59e0b12c7dbd5244bd6f2dd48804acab0b53a02536908583dec79d79e77d57

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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no resolver link, observed 2026-08-07T12:44:19.669876Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:44:19.669876Z digest=sha256:d76efce9e6524a4cccce2b48b7308bf7a5e470144fa550bd987c638d5c3c7a68

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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verified fuzzy
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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T12:44:19.715469Z digest=sha256:a04062e57e880daf31e1b3262a5d2f6cd51b0831f6c709c60f7fd682b23d1a52

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

Resolution
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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T12:44:19.776045Z digest=sha256:88440923c8c64f000a8b6f29e82c1340209465dfa7b1b26a47dff15f5df947f0

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

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:44:19.812862Z digest=sha256:59167cb01c41e5fa9778b31296ae9c2ec97e9df0248034ef33691fa9ed905a1f

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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verified fuzzy
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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T12:44:19.847621Z digest=sha256:3a0d814215a35f5024528a40d9eb00ace5bc8d46869b5b204802f94c358494b2

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-reported events for the cited work

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source=pdf_text observed=2026-08-07T12:44:19.889853Z digest=sha256:ca0f313fbbb8f794cc83aa70105221d36731131b730a997ea61e0d24a1c33aed

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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no resolver link, observed 2026-08-07T12:44:19.929432Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-07T12:44:19.929432Z digest=sha256:2003613017562f42e8a8d6ca15a30dbb6f9cf7be5a431a00e1b1adf23fb7995d

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T12:44:19.988147Z digest=sha256:8600908863dd5de7c39a1cb501f6e309daaaec034044bcc1e1f3599bf7e56553

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T12:44:20.016768Z digest=sha256:6a8b991f9617c360c76395a02f9e374d34c3be7663a8a97f25f5da9bbdb91d6d

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=sha256:822c4f146093f42ba38db6d1f916ed5b8de31915a0d9b81ec6bb0cef4797550f

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:f9cbb0daa4056130096570a3e982ca88ebbda11e9be2cbe559e3965830405a7f

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:c7e25065764e2085286cd8c24556736e080fe44dea7030f6110f054482cf6c5e

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:e72d36846d4113c6fa03ac7766731a4aff34cbbb6d5165228727954e9faa9b33

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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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:44:20.272009Z digest=sha256:a7214b1085547dff5492250db1634c83b334234b1ee290dbbf7099356848afda

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T12:44:20.377975Z digest=sha256:9b0361f1851626019d010290415e80971a07be038712f0185ceea669aed57e55

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:a1eac782a457993bec16f477cbaaf8f1314c28f3c3e7e71a765db815e6029053

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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no resolver link, observed 2026-08-07T12:44:20.493286Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-07T12:44:20.493286Z digest=sha256:a2b37cdadad1c1df9b92a659855e8d7af7b09647729f1527b6caf0dcbf2ced4a

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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no resolver link, observed 2026-08-07T12:44:20.530569Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:44:20.530569Z digest=sha256:6dbe4ce66cf53cc7ce99784284970e9a73272d0dd8312e2f62ff0f220aaa48c2

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
verified fuzzy
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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T12:44:20.625060Z digest=sha256:33dd1669dba8819db81ef68d4ef3e0052017e585987387473d0ebdf4b91f4876

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=sha256:7155de63f214721f7755781e8f389ace3aee93a8eb0f1dfd150d2d1c36d19f66

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=sha256:34bd6dfc21ac9135ea254bc2dab688d00cc02b7df5d09d9f09cddcc4c0ac6114

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:e7d054890767b63b4136aec89a7bee13029215277dc015d2ebd71defbe369515

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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no resolver link, observed 2026-08-07T12:44:20.959169Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:44:20.959169Z digest=sha256:918ad47e16d7183e362377bc6d1b316ca405680bc81c0fed0f5f4663ad39179d

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=sha256:913f25e311e31e8fe2d0c9bdb82ab2dfdc468e43a18ef702b8ea9510263d5ebd

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T12:44:21.053778Z digest=sha256:f4ef3b6d4f8b07693abda5306a761c3976e4a49e17197d64e18a5005d4ae339c

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:f3c7070b9e603b141a924f9d13ee682bab6c3b612575ba77d3d0b861e8494df4

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T12:44:21.296107Z digest=sha256:36abdf1e4c2c370ea2af4fc40b6d996f5c879273078a5d8b89467508a5a44822

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=sha256:87011ae63d484838086b1f3619e0873af9688ea5a88637367ea6053493e02168

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=sha256:9f49ab24ee60c35bb6dde3184bb7f313f3d4c02a8ce1e190ff96175d1568ab5f

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=sha256:55b323c57d79cd93b37feac6fae3f24f885dd553a5b99b79546052ceefdf272f

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:c643be2823fd96210458f06e43006c8c580945a6c320f65783af2332492bd50f

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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T12:44:21.551009Z digest=sha256:d2e594551c826377559e689520965a7df3d2f5491b6cd200bc57436b873cc698

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=sha256:704d4f16d732da684d964ebc056eb8416b1d6785e2aa201a8606ec7641a8517f

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=sha256:6f0143d1da716038fcb465a7f3805c1e91553653741d374b75c8fb97d14844ea

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=sha256:6bdea41b8777dbac06dd28797a555eb21f31e7261d8f16558213d269b9cbdd72

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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source=pdf_text observed=2026-08-07T12:44:21.776773Z digest=sha256:ed12f2e37855981530ff426169057590b9060310d27e62beb1e28fd76fec99c5

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T12:44:21.893375Z digest=sha256:7f0459cf9e69a566a32e633e68919beaf8e709f0ea1aa9a0f91e06f6a5136d0a

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=sha256:0f0f788bc28a74773733650e5cec46a98e3167953b178ffbfe1750d81c6fa27b

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:ff472e2923dcc3e797643ab4d253b450e7ed8bfaea84c3aa5dfb1f7ca141e0b6

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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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T12:44:22.059467Z digest=sha256:0a8db677d4bff8fb5aae83f1bef6b2573b26da5bd1af3eb5cadd2fb3f15334a2

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:a2f3e813ea542e6268d345d59354eee896f8c6bed96fa342f421caf71113aae7

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=sha256:042bbd8139cacefcc6b25b534e9ddeb51223e7a7960602fba198511baa97207f

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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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T12:44:22.189805Z digest=sha256:ed8b08bfad299de6e77d5cf05c6141f536a112d6762cee42b427144fdd0e2490

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=sha256:9a36392660273948b79e94c0e3057834b32f869726f641ae3b33e77bfcba1d06

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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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T12:44:22.288669Z digest=sha256:51ecb500a1eae5e59e2a6bd0dcfe1f4d3f535b36ba670555dcd248aee1babb5e

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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source=pdf_text observed=2026-08-07T12:44:22.365133Z digest=sha256:020c60443be2cfdd9f24e986b0782687a6015aef805c86455c882081c6936abb

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T12:44:22.521728Z digest=sha256:f305f1028bb8228a59d4e5c5c87f0e28e01cd36b182a2e0d631021c8fefd52cf

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T12:44:22.594242Z digest=sha256:b9e45fb1fcdd719fc08d7e3b455aaae9fc4bdf19969b4d77c7943d2b08653f4a

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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raw_fallback, observed 2026-08-07T12:44:24.380709Z

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T12:44:22.464229Z digest=sha256:d5e2f53a351863be5ccad3628ac8bf08d9cd7f432fb320dc03db7b165664ffa4

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:f0132759b5e7615b2c5897abde3155e9672bf093449a9d038a5843f66ce6a258

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:b371516bd3f4121d56f371e3e604f090d658fdcd6a4ef301d72d62991373e48f

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=sha256:6415e649d206e1a049a2175388dba96475cac46df4a7af758063c9b335dbc85f

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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source=arxiv_source observed=2026-08-05T20:15:47.537098Z digest=sha256:f1733622da354b96e96810391fd42805106f7e8f9c8c8b4d279866d68837baba

Observation 4087ccae-b17e-4eb0-83ee-e26bf4a61c64 · inbound

KRAFT: A Knowledge Graph-Based Framework for Automated Map Conflation cites this paper.

KRAFT: A Knowledge Graph-Based Framework for Automated Map Conflation ATLAS: Learning to Optimally Memorize the Context at Test Time

Reference 7

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source=pdf_text observed=2026-08-15T16:33:18.786654Z digest=sha256:afba5c525561813f63f5987ddc57c4f412027af7abd66eabe5aec86abece17e7

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-13T23:49:10.555255Z digest=sha256:f39e63fe148742e1f890c02e811bae19e6c28b12175694d8a9aee973ec2f291a

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-18T03:05:35.823369Z digest=sha256:8241772fae009d6c2869d9b467bfc621cdfaa85955771a7133c3d8399efd0a1f

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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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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-17T23:27:49.126341Z digest=sha256:64b84c95bead4c4411a978f52cc3372137430757b398ca64dca761d6d5208e94

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-17T02:59:42.731098Z digest=sha256:c5cad514a40406c3748d95ce7d48912782cde1f9833a6d205df86ef8c1b6c920

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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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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-15T19:40:35.854519Z digest=sha256:a40cc1fc60b33d233447b4d9b7cf500481598c5fa1133ff74668ff6344f2b49f

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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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-15T12:09:16.468055Z digest=sha256:d1117031136cda91476c903a1d79ae7e6ad119eca480502cc4889e962dd4c91d

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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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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-10T18:32:42.456629Z digest=sha256:b303e479ba6495bc667662ff7cbbd0b0da883aa5e98f6ffa0935478ee6dcbd20

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
verified exact
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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-10T18:27:24.750995Z digest=sha256:d42d6bb1a81dbda20925443f22c1322ad1cf16132f65731efbfe90074c4eec14

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-10T16:42:34.639008Z digest=sha256:9c335012dfea1391e21313e5a75fc9729a56df8ada6a3675137dd8f984735661

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-10T04:36:27.381942Z digest=sha256:a08b00a606beb1e1f3537442e2efcfe22c7fa742e588b21e0f2b651029bb42b4

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-05-10T00:19:24.366922Z digest=sha256:bf0e50d73b73b543951b4841447ff590782a2a0d868814dc27325434830d1394

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-08T18:25:48.672665Z digest=sha256:fd7d18fc56da1c70fdef0721945b2416da90dc3fabf35d73144c2a33cabaa02b

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-07-01T00:25:41.438482Z digest=sha256:c43bf8e6ae630e9845d1cfd55078e566c6c6e3610efe2fbf84ddcfe454b6dc5e

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-05-09T15:27:55.566795Z digest=sha256:95d5c58cd3f2ba3bde1f5b72ef1ce9ce3d3f877518417baa858be3b521198129

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-14T19:08:18.768344Z digest=sha256:d5e03509a91b91d8bd62a002868ebfaa9ec1eac0fde8b8bdc5f9df0286975ff9

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-06-28T21:07:31.407554Z digest=sha256:2b43139c956646d3d2fed965500243146894782317a37f3d510ea6404ffbacf4

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-06-28T14:30:49.006075Z digest=sha256:8c8320530a2a1c20f6b21da7541e5dde7f9edf604d4b4e856ff9c2f8b4d22366

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-06-26T09:11:20.341634Z digest=sha256:62f60a69d1c6031fa1c86d19902f1e17f69b225d31c752c12bb8122748ddd688

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-06-25T21:19:30.138022Z digest=sha256:14ad1ceebbdcce7e823f062b64dff9fa29de80bd34b50c6b978e56859fc692d0

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-07-02T13:44:24.020016Z digest=sha256:1b11d6c9dc9192ac26f8449cbce269f4dd82d052fe4ecd02d552892770e95c73

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:d91e7cacdd790dd093a4360ead6ddef1d548bfdc65883d33c089936239ad9903

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=sha256:6a103893934afa8406aa355bd4b9c61bfe195fd15ee87882f7b433d5a184e5cf

Observation bb89478b-d96b-4b96-9d28-e45638da37ca · inbound

Modular TTT: Rethinking Test-Time Training as Composable Modules cites this paper.

Modular TTT: Rethinking Test-Time Training as Composable Modules ATLAS: Learning to Optimally Memorize the Context at Test Time

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-10T14:49:00.055105Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T14:49:00.055105Z digest=sha256:471fec0f35e03ce17697bc7fab05f961f9a672e34cf41410b8047e3fcd59fb51