Paper Citation Record · LEDGER

Convolution for Large Language Models

As of 9 August 2026, this Paper Citation Record lists 15 of 15 outbound references and 0 inbound Pith citation observations for arXiv:2607.18413.

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

pith.paper-citation-record.v1
2607.18413 v1

Coverage vector

measured 15 of 15 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-01T15:33:19.949293Z

measured 15 of 15 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

15 of 15 outbound references displayed

verified exact0
verified fuzzy0
unresolved15
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 39a74367-655c-4e23-87dc-84e9a810d222 · outbound

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

Convolution for Large Language Models Zoology: Measuring and Improving Recall in Efficient Language Models

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-01T15:33:18.907360Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f983f576-b1e3-4042-aa58-82fd7f6f661d · outbound

This paper cites The Llama 3 Herd of Models.

Convolution for Large Language Models The Llama 3 Herd of Models

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-01T15:33:19.390924Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 67cb0798-adac-4dd8-9a39-9ed9a26af986 · outbound

This paper cites The winograd schema challenge.KR, 2012(13th):3,.

Convolution for Large Language Models The winograd schema challenge.KR, 2012(13th):3,

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-01T15:33:19.486169Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f1ab101f-75c4-4c81-8326-4da53c74c4a6 · outbound

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

Convolution for Large Language Models RWKV: Reinventing RNNs for the Transformer Era

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-01T15:33:19.640015Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cd9c51ab-be67-4cb5-b094-4bd83ef5eee7 · outbound

This paper cites Qwen3 Technical Report.

Convolution for Large Language Models Qwen3 Technical Report

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-01T15:33:19.705248Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation da467185-96c5-40a4-9521-a18242b87533 · outbound

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

Convolution for Large Language Models Gated Delta Networks: Improving Mamba2 with Delta Rule

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-01T15:33:19.794814Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bb65f505-5215-42b4-8b8e-d8ea1010be71 · outbound

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

Convolution for Large Language Models HellaSwag: Can a Machine Really Finish Your Sentence?

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-01T15:33:19.888295Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation be7065fc-eed5-4814-8170-6aec13b92f84 · outbound

This paper cites TiC: Exploring Vision Transformer in Convolution.

Convolution for Large Language Models TiC: Exploring Vision Transformer in Convolution

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-01T15:33:19.949293Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b247d4f6-d7f4-41e1-913c-8d7d6386e557 · outbound

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

Convolution for Large Language Models Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge

Reference 2019

Resolution: unresolved; no resolver link, observed 2026-08-01T15:33:19.249897Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5176f9e4-3092-4c31-8827-9b2a1d3d1562 · outbound

This paper cites Conditional Memory via Scalable Lookup: A New Axis of Sparsity for Large Language Models.

Convolution for Large Language Models Conditional Memory via Scalable Lookup: A New Axis of Sparsity for Large Language Models

Reference 2020

Resolution: unresolved; no resolver link, observed 2026-08-01T15:33:19.088107Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a1624770-c7bb-4c84-a2cc-12401e5d5c4e · outbound

This paper cites Multi-Token Attention.

Convolution for Large Language Models Multi-Token Attention

Reference 2021

Resolution: unresolved; no resolver link, observed 2026-08-01T15:33:19.333214Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c913f9ca-8308-41a0-9670-e12a589d0328 · outbound

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

Convolution for Large Language Models Simple linear attention language models balance the recall-throughput tradeoff

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-01T15:33:18.981516Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 071d7a69-a49a-40d3-9f47-ac91e71a841d · outbound

This paper cites Conformer: Convolution-augmented Transformer for Speech Recognition.

Convolution for Large Language Models Conformer: Convolution-augmented Transformer for Speech Recognition

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-01T15:33:19.438141Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f9a9a766-4339-4587-a696-5daaaf3a386d · outbound

This paper cites Predictable Scale: Part I, Step Law -- Optimal Hyperparameter Scaling Law in Large Language Model Pretraining.

Convolution for Large Language Models Predictable Scale: Part I, Step Law -- Optimal Hyperparameter Scaling Law in Large Language Model Pretraining

Reference 2025

Resolution: unresolved; no resolver link, observed 2026-08-01T15:33:19.545195Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b4116b81-853b-415a-9f5e-6ef9684913cf · outbound

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

Convolution for Large Language Models BoolQ: Exploring the Surprising Difficulty of Natural Yes/No Questions

Reference 2026

Resolution: unresolved; no resolver link, observed 2026-08-01T15:33:19.153639Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.