Paper Citation Record · LEDGER

Understanding the Skill Gap in Recurrent Language Models: The Role of the Gather-and-Aggregate Mechanism

As of 23 August 2026, this Paper Citation Record lists 59 of 59 outbound references and 5 inbound Pith citation observations for arXiv:2504.18574.

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

pith.paper-citation-record.v1
2504.18574 v2

Coverage vector

measured 59 of 59 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T11:17:29.515104Z

measured 64 of 64 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-01T17:30:38.577174Z

measured 1 of 1 external citation measurements

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

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

Reference resolution

59 of 59 outbound references displayed

verified exact3
verified fuzzy0
unresolved56
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

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

Outbound references

Observation 274a52b5-f4cc-4f27-b320-cc63084eee6d · outbound

This paper cites The Hidden Attention of Mamba Models.

Understanding the Skill Gap in Recurrent Language Models: The Role of the Gather-and-Aggregate Mechanism The Hidden Attention of Mamba Models

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-16T11:17:29.295806Z

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Observation 7d2fff4b-062f-4cdd-a428-2e2513130e46 · outbound

This paper cites When Benchmarks are Targets: Revealing the Sensitivity of Large Language Model Leaderboards.

Understanding the Skill Gap in Recurrent Language Models: The Role of the Gather-and-Aggregate Mechanism When Benchmarks are Targets: Revealing the Sensitivity of Large Language Model Leaderboards

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-16T11:17:29.300022Z

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Observation b666e331-f25f-49c8-9208-a5221cf749c6 · outbound

This paper cites Mechanistic evaluation of transformers and state space models, 2025 a.

Understanding the Skill Gap in Recurrent Language Models: The Role of the Gather-and-Aggregate Mechanism Mechanistic evaluation of transformers and state space models, 2025 a

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-16T11:17:29.303574Z

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Observation d41bb165-ff5c-48e7-9d05-3b85cd96a74f · outbound

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

Understanding the Skill Gap in Recurrent Language Models: The Role of the Gather-and-Aggregate Mechanism Zoology: Measuring and Improving Recall in Efficient Language Models

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-16T11:17:29.306947Z

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Observation 01585eda-4b05-43e7-bb3e-3d6d43edd98e · outbound

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

Understanding the Skill Gap in Recurrent Language Models: The Role of the Gather-and-Aggregate Mechanism Simple linear attention language models balance the recall-throughput tradeoff

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-16T11:17:29.315441Z

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Observation 1804bb02-b76c-4348-8f7d-1e16cacd1f85 · outbound

This paper cites xLSTM: Extended Long Short-Term Memory.

Understanding the Skill Gap in Recurrent Language Models: The Role of the Gather-and-Aggregate Mechanism xLSTM: Extended Long Short-Term Memory

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-16T11:17:29.319162Z

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Observation 3b037c10-b04a-4383-bcaf-5b010195f3aa · outbound

This paper cites Transformers to SSMs: Distilling Quadratic Knowledge to Subquadratic Models.

Understanding the Skill Gap in Recurrent Language Models: The Role of the Gather-and-Aggregate Mechanism Transformers to SSMs: Distilling Quadratic Knowledge to Subquadratic Models

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-16T11:17:29.322787Z

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Observation a9cda434-3e22-4b3e-baa3-d41ef015c255 · outbound

This paper cites Llamba: Scaling Distilled Recurrent Models for Efficient Language Processing.

Understanding the Skill Gap in Recurrent Language Models: The Role of the Gather-and-Aggregate Mechanism Llamba: Scaling Distilled Recurrent Models for Efficient Language Processing

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-16T11:17:29.326487Z

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Observation bb9f5de3-db57-4976-a76f-e3a588558437 · outbound

This paper cites Birth of a Transformer: A Memory Viewpoint.

Understanding the Skill Gap in Recurrent Language Models: The Role of the Gather-and-Aggregate Mechanism Birth of a Transformer: A Memory Viewpoint

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-16T11:17:29.330379Z

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Observation 9730cd56-2844-4735-9371-546c67fafe69 · outbound

This paper cites PIQA: Reasoning about Physical Commonsense in Natural Language.

Understanding the Skill Gap in Recurrent Language Models: The Role of the Gather-and-Aggregate Mechanism PIQA: Reasoning about Physical Commonsense in Natural Language

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-16T11:17:29.334021Z

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Observation 8ec5a5ff-9357-4c18-a64d-6bc18268c724 · outbound

This paper cites Birdie: Advancing State Space Models with Reward-Driven Objectives and Curricula.

Understanding the Skill Gap in Recurrent Language Models: The Role of the Gather-and-Aggregate Mechanism Birdie: Advancing State Space Models with Reward-Driven Objectives and Curricula

Reference 12

Resolution: verified exact; local_arxiv, observed 2026-08-16T11:17:30.064577Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 3502beab-7a98-4194-addd-39f3762c78fe · outbound

This paper cites an unresolved cited work.

Understanding the Skill Gap in Recurrent Language Models: The Role of the Gather-and-Aggregate Mechanism Unresolved cited work

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-16T11:17:29.341330Z

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Observation 96e205e6-4659-49a8-a8d9-e49f5245c41e · outbound

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

Understanding the Skill Gap in Recurrent Language Models: The Role of the Gather-and-Aggregate Mechanism Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-16T11:17:29.344694Z

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Observation a5bf5498-3ddb-40e4-9fdb-fa901b9fe2a9 · outbound

This paper cites Training Verifiers to Solve Math Word Problems.

Understanding the Skill Gap in Recurrent Language Models: The Role of the Gather-and-Aggregate Mechanism Training Verifiers to Solve Math Word Problems

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-16T11:17:29.348342Z

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Observation 744e73f7-9c1a-4ec1-9da9-8714e7c3a710 · outbound

This paper cites Transformers are SSM s: Generalized models and efficient algorithms through structured state space duality.

Understanding the Skill Gap in Recurrent Language Models: The Role of the Gather-and-Aggregate Mechanism Transformers are SSM s: Generalized models and efficient algorithms through structured state space duality

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-16T11:17:29.351643Z

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Observation da806b24-1e2b-431d-a2ce-f6a7f2776a1f · outbound

This paper cites Fu, Stefano Ermon, Atri Rudra, and Christopher Ré.

Understanding the Skill Gap in Recurrent Language Models: The Role of the Gather-and-Aggregate Mechanism Fu, Stefano Ermon, Atri Rudra, and Christopher Ré

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-16T11:17:29.355258Z

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Observation fcd4ac40-a716-4156-ab3b-35bf9993ba1a · outbound

This paper cites A mathematical framework for transformer circuits.

Understanding the Skill Gap in Recurrent Language Models: The Role of the Gather-and-Aggregate Mechanism A mathematical framework for transformer circuits

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-16T11:17:29.359076Z

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Observation 10a14136-eb73-42ac-b0b6-5ec193d430d9 · outbound

This paper cites Zamba: A Compact 7B SSM Hybrid Model.

Understanding the Skill Gap in Recurrent Language Models: The Role of the Gather-and-Aggregate Mechanism Zamba: A Compact 7B SSM Hybrid Model

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-16T11:17:29.362835Z

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Observation c8e870a0-cd04-4019-a531-9c20e79314f6 · outbound

This paper cites Mamba: Linear-time sequence modeling with selective state spaces, 2023.

Understanding the Skill Gap in Recurrent Language Models: The Role of the Gather-and-Aggregate Mechanism Mamba: Linear-time sequence modeling with selective state spaces, 2023

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-16T11:17:29.367022Z

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Observation 3f9b9675-8931-4413-b25a-4649e675405f · outbound

This paper cites Efficiently modeling long sequences with structured state spaces, 2022.

Understanding the Skill Gap in Recurrent Language Models: The Role of the Gather-and-Aggregate Mechanism Efficiently modeling long sequences with structured state spaces, 2022

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-16T11:17:29.371225Z

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Observation 150d10dc-1f9c-4921-8901-a9e7266ee834 · outbound

This paper cites Measuring Massive Multitask Language Understanding.

Understanding the Skill Gap in Recurrent Language Models: The Role of the Gather-and-Aggregate Mechanism Measuring Massive Multitask Language Understanding

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-16T11:17:29.374594Z

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Observation 7a702ef9-59fd-4ab9-8a5e-043aaf4b9cf7 · outbound

This paper cites Repeat After Me: Transformers are Better than State Space Models at Copying.

Understanding the Skill Gap in Recurrent Language Models: The Role of the Gather-and-Aggregate Mechanism Repeat After Me: Transformers are Better than State Space Models at Copying

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-16T11:17:29.378407Z

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Observation 8709d941-d0bc-462e-bbbe-1b5145547611 · outbound

This paper cites Transformers are rnns: Fast autoregressive transformers with linear attention, 2020.

Understanding the Skill Gap in Recurrent Language Models: The Role of the Gather-and-Aggregate Mechanism Transformers are rnns: Fast autoregressive transformers with linear attention, 2020

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-16T11:17:29.382464Z

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Observation 89050351-a3f5-4dbb-b6ed-ebb16fd4cbd1 · outbound

This paper cites Jamba: A Hybrid Transformer-Mamba Language Model.

Understanding the Skill Gap in Recurrent Language Models: The Role of the Gather-and-Aggregate Mechanism Jamba: A Hybrid Transformer-Mamba Language Model

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-16T11:17:29.386346Z

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Observation 5039dc44-df64-4767-924d-9c56d0af465f · outbound

This paper cites Does Circuit Analysis Interpretability Scale? Evidence from Multiple Choice Capabilities in Chinchilla.

Understanding the Skill Gap in Recurrent Language Models: The Role of the Gather-and-Aggregate Mechanism Does Circuit Analysis Interpretability Scale? Evidence from Multiple Choice Capabilities in Chinchilla

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-16T11:17:29.390998Z

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Observation 92c9c5ad-eaf8-4230-9c11-beda352f8b6b · outbound

This paper cites Locating and Editing Factual Associations in GPT.

Understanding the Skill Gap in Recurrent Language Models: The Role of the Gather-and-Aggregate Mechanism Locating and Editing Factual Associations in GPT

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-16T11:17:29.395086Z

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Observation d55e0c77-2750-4a82-95f9-35389b92589e · outbound

This paper cites Circuit Component Reuse Across Tasks in Transformer Language Models.

Understanding the Skill Gap in Recurrent Language Models: The Role of the Gather-and-Aggregate Mechanism Circuit Component Reuse Across Tasks in Transformer Language Models

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-16T11:17:29.398705Z

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Observation 272e3181-1500-431b-afbe-28ecfdf07694 · outbound

This paper cites Can a Suit of Armor Conduct Electricity? A New Dataset for Open Book Question Answering.

Understanding the Skill Gap in Recurrent Language Models: The Role of the Gather-and-Aggregate Mechanism Can a Suit of Armor Conduct Electricity? A New Dataset for Open Book Question Answering

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-16T11:17:29.402258Z

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Observation 13551029-cb68-4e3a-8884-37301cc25a03 · outbound

This paper cites In-context learning and induction heads.

Understanding the Skill Gap in Recurrent Language Models: The Role of the Gather-and-Aggregate Mechanism In-context learning and induction heads

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-16T11:17:29.405455Z

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Observation 14b2d967-86ca-482a-8588-c171cb2ac7b5 · outbound

This paper cites Thinking Slow, Fast: Scaling Inference Compute with Distilled Reasoners.

Understanding the Skill Gap in Recurrent Language Models: The Role of the Gather-and-Aggregate Mechanism Thinking Slow, Fast: Scaling Inference Compute with Distilled Reasoners

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-16T11:17:29.408368Z

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Observation 1cb266be-81ed-4731-baba-7ca80fb820a8 · outbound

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

Understanding the Skill Gap in Recurrent Language Models: The Role of the Gather-and-Aggregate Mechanism The LAMBADA dataset: Word prediction requiring a broad discourse context

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-16T11:17:29.411637Z

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Observation e985821e-a63f-4754-8409-d1daebb4f7f7 · outbound

This paper cites Can Mamba Learn How to Learn? A Comparative Study on In-Context Learning Tasks.

Understanding the Skill Gap in Recurrent Language Models: The Role of the Gather-and-Aggregate Mechanism Can Mamba Learn How to Learn? A Comparative Study on In-Context Learning Tasks

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-16T11:17:29.414642Z

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Observation 8cdeace5-8556-49aa-ae63-1819ddec647f · outbound

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

Understanding the Skill Gap in Recurrent Language Models: The Role of the Gather-and-Aggregate Mechanism Eagle and Finch: RWKV with Matrix-Valued States and Dynamic Recurrence

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-16T11:17:29.418206Z

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Observation 4d21a790-bd48-41cf-b027-ef278a9b576c · outbound

This paper cites HGRN2: Gated Linear RNNs with State Expansion.

Understanding the Skill Gap in Recurrent Language Models: The Role of the Gather-and-Aggregate Mechanism HGRN2: Gated Linear RNNs with State Expansion

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-16T11:17:29.421987Z

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Observation 309d24b4-ec97-457d-ac06-2d4c7ac28cc6 · outbound

This paper cites A practical review of mechanistic interpretability for transformer-based language models, 2024.

Understanding the Skill Gap in Recurrent Language Models: The Role of the Gather-and-Aggregate Mechanism A practical review of mechanistic interpretability for transformer-based language models, 2024

Reference 36

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Observation a767c654-e658-4110-bf3e-973bc512b0e8 · outbound

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

Understanding the Skill Gap in Recurrent Language Models: The Role of the Gather-and-Aggregate Mechanism Samba: Simple Hybrid State Space Models for Efficient Unlimited Context Language Modeling

Reference 37

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Observation 54a302ed-90c5-47a9-91e7-6732c6c3f12e · outbound

This paper cites WinoGrande: An Adversarial Winograd Schema Challenge at Scale.

Understanding the Skill Gap in Recurrent Language Models: The Role of the Gather-and-Aggregate Mechanism WinoGrande: An Adversarial Winograd Schema Challenge at Scale

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-16T11:17:29.432533Z

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Observation 576e2fc0-aff7-4a2c-bcf6-9198e6a7b761 · outbound

This paper cites Transformers, parallel computation, and logarithmic depth.

Understanding the Skill Gap in Recurrent Language Models: The Role of the Gather-and-Aggregate Mechanism Transformers, parallel computation, and logarithmic depth

Reference 39

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Observation a59fe66d-339a-4412-a348-052b24b086a7 · outbound

This paper cites Retentive network: A successor to transformer for large language models, 2023.

Understanding the Skill Gap in Recurrent Language Models: The Role of the Gather-and-Aggregate Mechanism Retentive network: A successor to transformer for large language models, 2023

Reference 40

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Observation 7d90395e-ccc4-4a76-8e28-8fe87d62527f · outbound

This paper cites Challenging BIG-Bench Tasks and Whether Chain-of-Thought Can Solve Them.

Understanding the Skill Gap in Recurrent Language Models: The Role of the Gather-and-Aggregate Mechanism Challenging BIG-Bench Tasks and Whether Chain-of-Thought Can Solve Them

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-16T11:17:29.443099Z

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Observation e55de9c9-63b3-4138-90dd-1bc97dd45e81 · outbound

This paper cites Llama: Open and efficient foundation language models, 2023.

Understanding the Skill Gap in Recurrent Language Models: The Role of the Gather-and-Aggregate Mechanism Llama: Open and efficient foundation language models, 2023

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-16T11:17:29.446919Z

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Observation d5b9033d-6cbd-444f-ba87-6c1c2e4de0ff · outbound

This paper cites Listening to the Wise Few: Select-and-Copy Attention Heads for Multiple-Choice QA.

Understanding the Skill Gap in Recurrent Language Models: The Role of the Gather-and-Aggregate Mechanism Listening to the Wise Few: Select-and-Copy Attention Heads for Multiple-Choice QA

Reference 43

Resolution: verified exact; local_arxiv, observed 2026-08-16T11:17:29.742040Z

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Observation 260af610-8f60-4ffe-9c91-3d43bc2ee660 · outbound

This paper cites Attention Is All You Need.

Understanding the Skill Gap in Recurrent Language Models: The Role of the Gather-and-Aggregate Mechanism Attention Is All You Need

Reference 44

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Observation 23bb924a-024d-4f07-8254-54f94deebba0 · outbound

This paper cites An Empirical Study of Mamba-based Language Models.

Understanding the Skill Gap in Recurrent Language Models: The Role of the Gather-and-Aggregate Mechanism An Empirical Study of Mamba-based Language Models

Reference 45

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Observation 511afae0-6ff4-42ec-970a-91afea4f5ebb · outbound

This paper cites The Mamba in the Llama: Distilling and Accelerating Hybrid Models.

Understanding the Skill Gap in Recurrent Language Models: The Role of the Gather-and-Aggregate Mechanism The Mamba in the Llama: Distilling and Accelerating Hybrid Models

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-16T11:17:29.462648Z

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Observation b9f1a7b3-a9f0-4d1c-b7fc-359b5afeb85d · outbound

This paper cites MMLU-SR: A Benchmark for Stress-Testing Reasoning Capability of Large Language Models.

Understanding the Skill Gap in Recurrent Language Models: The Role of the Gather-and-Aggregate Mechanism MMLU-SR: A Benchmark for Stress-Testing Reasoning Capability of Large Language Models

Reference 47

Resolution: verified exact; local_arxiv, observed 2026-08-16T11:17:29.691720Z

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Observation 39b407cc-ab66-4f00-a548-a13453cae3de · outbound

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

Understanding the Skill Gap in Recurrent Language Models: The Role of the Gather-and-Aggregate Mechanism RNNs are not Transformers (Yet): The Key Bottleneck on In-context Retrieval

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-16T11:17:29.471464Z

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Observation 4b30a852-609b-4be9-bbbe-f3dbd6d1c326 · outbound

This paper cites Answer, Assemble, Ace: Understanding How LMs Answer Multiple Choice Questions.

Understanding the Skill Gap in Recurrent Language Models: The Role of the Gather-and-Aggregate Mechanism Answer, Assemble, Ace: Understanding How LMs Answer Multiple Choice Questions

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-16T11:17:29.475182Z

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Observation 43524d81-0b94-4a4e-aba6-91c87d1ec87a · outbound

This paper cites Retrieval Head Mechanistically Explains Long-Context Factuality.

Understanding the Skill Gap in Recurrent Language Models: The Role of the Gather-and-Aggregate Mechanism Retrieval Head Mechanistically Explains Long-Context Factuality

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-16T11:17:29.479315Z

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Observation 425565dc-4037-4428-81ce-c65b6f62879e · outbound

This paper cites Efficient Streaming Language Models with Attention Sinks.

Understanding the Skill Gap in Recurrent Language Models: The Role of the Gather-and-Aggregate Mechanism Efficient Streaming Language Models with Attention Sinks

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-16T11:17:29.483033Z

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Observation 5803b803-8937-49bf-906e-a81c2f8ca904 · outbound

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

Understanding the Skill Gap in Recurrent Language Models: The Role of the Gather-and-Aggregate Mechanism Gated Delta Networks: Improving Mamba2 with Delta Rule

Reference 52

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Observation a4576f78-e72a-476c-bc71-bb618f6d934e · outbound

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

Understanding the Skill Gap in Recurrent Language Models: The Role of the Gather-and-Aggregate Mechanism Gated Linear Attention Transformers with Hardware-Efficient Training

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-16T11:17:29.490837Z

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Observation e43a8ad6-406a-4160-95dc-3cbbb53f5723 · outbound

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Understanding the Skill Gap in Recurrent Language Models: The Role of the Gather-and-Aggregate Mechanism Correcting Negative Bias in Large Language Models through Negative Attention Score Alignment

Reference 54

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Observation dbf7df7c-5f16-4f6f-8d73-c9f47576db85 · outbound

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Understanding the Skill Gap in Recurrent Language Models: The Role of the Gather-and-Aggregate Mechanism HellaSwag: Can a Machine Really Finish Your Sentence?

Reference 55

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Observation 5dc4a025-f1db-42ec-b9fb-9344fe09943f · outbound

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Understanding the Skill Gap in Recurrent Language Models: The Role of the Gather-and-Aggregate Mechanism Interpreting and Improving Large Language Models in Arithmetic Calculation

Reference 56

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Observation 9f559450-79c0-4d51-966e-88afdb56db99 · outbound

This paper cites Gated Slot Attention for Efficient Linear-Time Sequence Modeling.

Understanding the Skill Gap in Recurrent Language Models: The Role of the Gather-and-Aggregate Mechanism Gated Slot Attention for Efficient Linear-Time Sequence Modeling

Reference 57

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Observation 90a15906-3214-4ead-8b2e-11f4b91575ee · outbound

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Understanding the Skill Gap in Recurrent Language Models: The Role of the Gather-and-Aggregate Mechanism MMLU-CF: A Contamination-free Multi-task Language Understanding Benchmark

Reference 58

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Observation 9de26958-c816-4d57-b280-0b822bb2f4e1 · outbound

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Understanding the Skill Gap in Recurrent Language Models: The Role of the Gather-and-Aggregate Mechanism Attention Heads of Large Language Models: A Survey

Reference 59

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Observation 88514441-b42c-40be-ad71-e1e88c5357c2 · outbound

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Understanding the Skill Gap in Recurrent Language Models: The Role of the Gather-and-Aggregate Mechanism Falcon Mamba: The First Competitive Attention-free 7B Language Model

Reference 60

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Pith citing papers

Observation 9be4a302-3ad6-45b8-9115-0375c1548f6d · inbound

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StateX: Enhancing RNN Recall via Post-training State Expansion Understanding the Skill Gap in Recurrent Language Models: The Role of the Gather-and-Aggregate Mechanism

Reference 2

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Observation 9e002fa0-4ba4-41eb-81f2-3ce0023e323a · inbound

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Contribution Weights: A Geometrical Analysis of Self-Attention Transformers Understanding the Skill Gap in Recurrent Language Models: The Role of the Gather-and-Aggregate Mechanism

Reference 65

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Observation bbc9af6f-13c7-4df8-8590-670839cc1720 · inbound

Contribution Weights: A Geometrical Analysis of Self-Attention Transformers cites this paper.

Contribution Weights: A Geometrical Analysis of Self-Attention Transformers Understanding the Skill Gap in Recurrent Language Models: The Role of the Gather-and-Aggregate Mechanism

Reference 145

Resolution: metadata mismatch; arxiv_id, observed 2026-06-28T23:32:47.282671Z

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Observation b0bd06ea-a2de-4bfd-a4af-56541dd20f4e · inbound

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Blurry Window Attention Understanding the Skill Gap in Recurrent Language Models: The Role of the Gather-and-Aggregate Mechanism

Reference 11

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Observation 28064414-db61-4608-b76e-f90c9d093e90 · inbound

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Mechanistic Attention Guidance for Agent Memory Refinement Understanding the Skill Gap in Recurrent Language Models: The Role of the Gather-and-Aggregate Mechanism

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-01T17:30:38.577174Z

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