Paper Citation Record · LEDGER

Channel-Wise MLPs Improve the Generalization of Recurrent Convolutional Networks

As of 20 August 2026, this Paper Citation Record lists 11 of 11 outbound references and 0 inbound Pith citation observations for arXiv:2508.08298.

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

pith.paper-citation-record.v1
2508.08298 v1

Coverage vector

measured 11 of 11 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T00:01:42.540642Z

measured 11 of 11 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+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

11 of 11 outbound references displayed

verified exact0
verified fuzzy3
unresolved8
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 25f70fce-4c82-4e96-a1f8-d2e4b20d22a3 · outbound

This paper cites The Surprising Effectiveness of Test-Time Training for Few-Shot Learning.

Channel-Wise MLPs Improve the Generalization of Recurrent Convolutional Networks The Surprising Effectiveness of Test-Time Training for Few-Shot Learning

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-06T00:01:41.698247Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0942dab5-ea3c-4272-bbc8-96666fcf4a4d · outbound

This paper cites On the Measure of Intelligence.

Channel-Wise MLPs Improve the Generalization of Recurrent Convolutional Networks On the Measure of Intelligence

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-06T00:01:41.795270Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 405eb33a-611c-444d-98ef-14bfc541b3dc · outbound

This paper cites Looped Transformers for Length Generalization.

Channel-Wise MLPs Improve the Generalization of Recurrent Convolutional Networks Looped Transformers for Length Generalization

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-06T00:01:41.852577Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b570bc0d-839b-42bf-81ee-59a7bd55c658 · outbound

This paper cites Product of Experts with LLMs: Boosting Performance on ARC Is a Matter of Perspective.

Channel-Wise MLPs Improve the Generalization of Recurrent Convolutional Networks Product of Experts with LLMs: Boosting Performance on ARC Is a Matter of Perspective

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-06T00:01:41.941186Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8e3e0f58-eef0-4c33-95f9-3182c82d87bf · outbound

This paper cites Getting 50\ Redwood Research Substack, June 2024.

Channel-Wise MLPs Improve the Generalization of Recurrent Convolutional Networks Getting 50\ Redwood Research Substack, June 2024

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T00:01:43.550164Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 108773d4-fbb1-4ee2-889b-4865f2505a0d · outbound

This paper cites Addressing the Abstraction and Reasoning Corpus via Procedural Example Generation.

Channel-Wise MLPs Improve the Generalization of Recurrent Convolutional Networks Addressing the Abstraction and Reasoning Corpus via Procedural Example Generation

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-06T00:01:42.106854Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1af220e7-5a7f-46ff-9b65-0883c3a4db0c · outbound

This paper cites Dunn, Hao Tang, Michelangelo Naim, Dat Nguyen, Wei-Long Zheng, Zenna Tavares, Yewen Pu, and Kevin Ellis.

Channel-Wise MLPs Improve the Generalization of Recurrent Convolutional Networks Dunn, Hao Tang, Michelangelo Naim, Dat Nguyen, Wei-Long Zheng, Zenna Tavares, Yewen Pu, and Kevin Ellis

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T00:01:43.333859Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation b884b270-efbc-447c-9058-5ae03e0ac7b1 · outbound

This paper cites Can You Learn an Algorithm? Generalizing from Easy to Hard Problems with Recurrent Networks.

Channel-Wise MLPs Improve the Generalization of Recurrent Convolutional Networks Can You Learn an Algorithm? Generalizing from Easy to Hard Problems with Recurrent Networks

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-06T00:01:42.257175Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 92e88ad3-4d12-42bf-90d6-5458481acd79 · outbound

This paper cites GLU Variants Improve Transformer.

Channel-Wise MLPs Improve the Generalization of Recurrent Convolutional Networks GLU Variants Improve Transformer

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-06T00:01:42.347699Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 69e52685-3396-42d5-bff3-fd3a2a152942 · outbound

This paper cites ARC-icecuber : Code for 1st place solution to Kaggle's Abstraction and Reasoning Challenge.

Channel-Wise MLPs Improve the Generalization of Recurrent Convolutional Networks ARC-icecuber : Code for 1st place solution to Kaggle's Abstraction and Reasoning Challenge

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T00:01:43.140825Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 0cc0ba72-a346-4f0c-86e3-c524cf3772f9 · outbound

This paper cites Example-based Hypernetworks for Out-of-Distribution Generalization.

Channel-Wise MLPs Improve the Generalization of Recurrent Convolutional Networks Example-based Hypernetworks for Out-of-Distribution Generalization

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-06T00:01:42.540642Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.