Paper Citation Record · LEDGER

Wonderful Matrices: Combining for a More Efficient and Effective Foundation Model Architecture

As of 22 August 2026, this Paper Citation Record lists 24 of 24 outbound references and 0 inbound Pith citation observations for arXiv:2412.11834.

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

pith.paper-citation-record.v1
2412.11834 v3

Coverage vector

measured 24 of 24 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T14:36:35.249392Z

measured 24 of 24 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 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

24 of 24 outbound references displayed

verified exact0
verified fuzzy9
unresolved15
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation a539aba9-8986-4582-9ece-03a1d185980b · outbound

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

Wonderful Matrices: Combining for a More Efficient and Effective Foundation Model Architecture Zoology: Measuring and Improving Recall in Efficient Language Models

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:36:35.569454Z

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 91ad3bdc-e249-44ae-90d8-c9e71897d03e · outbound

This paper cites an unresolved cited work.

Wonderful Matrices: Combining for a More Efficient and Effective Foundation Model Architecture Unresolved cited work

Reference 2

Resolution: unresolved; raw_fallback, observed 2026-08-11T14:36:35.553806Z

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 1cd61557-f741-4bc3-8a42-6ee78ac092da · outbound

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

Wonderful Matrices: Combining for a More Efficient and Effective Foundation Model Architecture PIQA: Reasoning about Physical Commonsense in Natural Language

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-11T14:36:35.150329Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 973156dd-1085-40d3-b131-fcf7b5d8eb05 · outbound

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

Wonderful Matrices: Combining for a More Efficient and Effective Foundation Model Architecture Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-11T14:36:35.155162Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 738ac5c4-53fe-4c66-a4c8-0a1dfb7e4156 · outbound

This paper cites DeepSeekMoE: Towards Ultimate Expert Specialization in Mixture-of-Experts Language Models.

Wonderful Matrices: Combining for a More Efficient and Effective Foundation Model Architecture DeepSeekMoE: Towards Ultimate Expert Specialization in Mixture-of-Experts Language Models

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-11T14:36:35.161446Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 540e1fa5-2125-407d-a34b-ac4d4cc23a64 · outbound

This paper cites Transformers are SSMs: Generalized Models and Efficient Algorithms Through Structured State Space Duality.

Wonderful Matrices: Combining for a More Efficient and Effective Foundation Model Architecture Transformers are SSMs: Generalized Models and Efficient Algorithms Through Structured State Space Duality

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:36:35.532171Z

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 e01b05ff-3931-4f28-b8db-cf3b2d0434dd · outbound

This paper cites A Framework for Few-shot Language Model Evaluation.

Wonderful Matrices: Combining for a More Efficient and Effective Foundation Model Architecture A Framework for Few-shot Language Model Evaluation

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-11T14:36:35.170722Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5c4eb0d4-cbb2-4caf-bd5f-a1d39943e0f0 · outbound

This paper cites The Llama 3 Herd of Models.

Wonderful Matrices: Combining for a More Efficient and Effective Foundation Model Architecture The Llama 3 Herd of Models

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-11T14:36:35.175507Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0f386f78-78c9-43bf-8bd9-55848a80e940 · outbound

This paper cites Mamba: Linear-Time Sequence Modeling with Selective State Spaces.

Wonderful Matrices: Combining for a More Efficient and Effective Foundation Model Architecture Mamba: Linear-Time Sequence Modeling with Selective State Spaces

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-11T14:36:35.181385Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5db8ad4e-5524-459a-bce0-01ac61905ccd · outbound

This paper cites Mixture of A Million Experts.

Wonderful Matrices: Combining for a More Efficient and Effective Foundation Model Architecture Mixture of A Million Experts

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-11T14:36:35.185943Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a4a023dc-2bd7-493a-abeb-49da19ea85b0 · outbound

This paper cites Mea- suring Massive Multitask Language Understanding.

Wonderful Matrices: Combining for a More Efficient and Effective Foundation Model Architecture Mea- suring Massive Multitask Language Understanding

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:36:35.517327Z

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 fa7a0296-6b3d-4db5-92ec-628d9ad75b70 · outbound

This paper cites C-Eval: A Multi-Level Multi-Discipline Chinese Evaluation Suite for Foundation Models.

Wonderful Matrices: Combining for a More Efficient and Effective Foundation Model Architecture C-Eval: A Multi-Level Multi-Discipline Chinese Evaluation Suite for Foundation Models

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:36:35.502798Z

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 f3969173-a057-4ab2-b030-d1e60361b367 · outbound

This paper cites TriviaQA: A Large Scale Distantly Supervised Challenge Dataset for Reading Comprehension.

Wonderful Matrices: Combining for a More Efficient and Effective Foundation Model Architecture TriviaQA: A Large Scale Distantly Supervised Challenge Dataset for Reading Comprehension

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-11T14:36:35.203074Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c781bcd0-34f1-4b18-99c9-b79ba61fef6c · outbound

This paper cites Transformers are RNNs: Fast Au- toregressive Transformers with Linear Attention.

Wonderful Matrices: Combining for a More Efficient and Effective Foundation Model Architecture Transformers are RNNs: Fast Au- toregressive Transformers with Linear Attention

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:36:35.489733Z

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 d0f894b4-f24f-4481-8ac6-030ff9be5508 · outbound

This paper cites Large Mem- ory Layers with Product Keys.

Wonderful Matrices: Combining for a More Efficient and Effective Foundation Model Architecture Large Mem- ory Layers with Product Keys

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:36:35.475901Z

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 765b21b7-c734-4384-9454-8b7a712c907c · outbound

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

Wonderful Matrices: Combining for a More Efficient and Effective Foundation Model Architecture Jamba: A Hybrid Transformer-Mamba Language Model

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-11T14:36:35.216118Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2305e0f0-b2dc-46cc-b059-3331a5ed7cb0 · outbound

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

Wonderful Matrices: Combining for a More Efficient and Effective Foundation Model Architecture Can a Suit of Armor Conduct Electricity? A New Dataset for Open Book Question Answering

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-11T14:36:35.220483Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 66adebb2-9b2b-4b83-b92f-4119b777b696 · outbound

This paper cites PyTorch Container Image.

Wonderful Matrices: Combining for a More Efficient and Effective Foundation Model Architecture PyTorch Container Image

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:36:35.463496Z

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 7101ecdb-73dc-4e6c-a554-b5f8c65e6912 · outbound

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

Wonderful Matrices: Combining for a More Efficient and Effective Foundation Model Architecture Winogrande: An Adversarial Winograd Schema Challenge at Scale

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-11T14:36:35.228807Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3af2c90c-dad3-4f29-beff-47f774171acf · outbound

This paper cites GLU Variants Improve Transformer.

Wonderful Matrices: Combining for a More Efficient and Effective Foundation Model Architecture GLU Variants Improve Transformer

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-11T14:36:35.232615Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e2304fdf-4af4-4306-abac-b8e37b17795a · outbound

This paper cites RoFormer: Enhanced Transformer with Rotary Position Embedding.

Wonderful Matrices: Combining for a More Efficient and Effective Foundation Model Architecture RoFormer: Enhanced Transformer with Rotary Position Embedding

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-11T14:36:35.237225Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3f0a2f62-05c4-451d-9d3d-fb7ebe488849 · outbound

This paper cites Attention Is All You Need.

Wonderful Matrices: Combining for a More Efficient and Effective Foundation Model Architecture Attention Is All You Need

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-11T14:36:35.241517Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 43e58bc1-cd06-4ec9-b1f8-8df2189ce685 · outbound

This paper cites Transformers: State-of-the-Art Natural Language Processing.

Wonderful Matrices: Combining for a More Efficient and Effective Foundation Model Architecture Transformers: State-of-the-Art Natural Language Processing

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:36:35.436609Z

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 b935c3ab-44cd-4542-b3d9-034258c6d171 · outbound

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

Wonderful Matrices: Combining for a More Efficient and Effective Foundation Model Architecture HellaSwag: Can a Machine Really Finish Your Sentence?

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:36:35.423871Z

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.

Pith citing papers

No inbound Pith citation observations are available.