Paper Citation Record · LEDGER

Fast and Simplex: 2-Simplicial Attention in Triton

As of 19 August 2026, this Paper Citation Record lists 46 of 46 outbound references and 4 inbound Pith citation observations for arXiv:2507.02754.

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

pith.paper-citation-record.v1
2507.02754 v1

Coverage vector

measured 46 of 46 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T20:31:48.003056Z

measured 50 of 50 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 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T19:45:12.482381Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-01T18:45:58.257917Z

Reference resolution

46 of 46 outbound references displayed

verified exact1
verified fuzzy10
unresolved35
parse uncertain0
malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 4d71038d-1818-4c1e-9606-bde8cfe3d333 · outbound

This paper cites GPT-4 Technical Report.

Fast and Simplex: 2-Simplicial Attention in Triton GPT-4 Technical Report

Reference 1

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Observation 26f31ce2-e56f-4824-a351-c7007b99f718 · outbound

This paper cites GQA: Training Generalized Multi-Query Transformer Models from Multi-Head Checkpoints.

Fast and Simplex: 2-Simplicial Attention in Triton GQA: Training Generalized Multi-Query Transformer Models from Multi-Head Checkpoints

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-06T20:31:47.332972Z

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Observation 3487f141-73db-4bc4-953c-691206c276e1 · outbound

This paper cites Program Synthesis with Large Language Models.

Fast and Simplex: 2-Simplicial Attention in Triton Program Synthesis with Large Language Models

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-06T20:31:47.413537Z

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Observation 1a55b8dd-209d-48a1-836f-067391f31903 · outbound

This paper cites Explaining neural scaling laws.

Fast and Simplex: 2-Simplicial Attention in Triton Explaining neural scaling laws

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:31:48.742807Z

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 cace0b4e-ac7b-4e81-bbdd-77198cf53445 · outbound

This paper cites Systematic generalization with edge transformers.

Fast and Simplex: 2-Simplicial Attention in Triton Systematic generalization with edge transformers

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:31:48.730842Z

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

Observation 7f6d9595-27b7-498f-bc6f-105d6625a25d · outbound

This paper cites Loss-to-Loss Prediction: Scaling Laws for All Datasets.

Fast and Simplex: 2-Simplicial Attention in Triton Loss-to-Loss Prediction: Scaling Laws for All Datasets

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-06T20:31:47.679967Z

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Observation 1361d9f1-1229-4ba0-8034-28e3ec8c3367 · outbound

This paper cites Language models are few-shot learners.

Fast and Simplex: 2-Simplicial Attention in Triton Language models are few-shot learners

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-06T20:31:47.764549Z

Source-reported events for the cited work

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Observation 0595b5d2-7b5f-46f4-a0f7-703bf88c1c54 · outbound

This paper cites Logic and the $2$-Simplicial Transformer.

Fast and Simplex: 2-Simplicial Attention in Triton Logic and the $2$-Simplicial Transformer

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-06T20:31:47.863926Z

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Observation 8932e247-1acf-4c51-8330-12fedff90499 · outbound

This paper cites Training Verifiers to Solve Math Word Problems.

Fast and Simplex: 2-Simplicial Attention in Triton Training Verifiers to Solve Math Word Problems

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-06T20:31:47.868300Z

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Observation c52182ce-c3be-4338-9491-525706a39185 · outbound

This paper cites Flashattention: Fast and memory-efficient exact attention with io-awareness.

Fast and Simplex: 2-Simplicial Attention in Triton Flashattention: Fast and memory-efficient exact attention with io-awareness

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-06T20:31:47.872465Z

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Observation 93d1f437-cf8d-4e63-8be3-8c3f65402352 · outbound

This paper cites Universal Transformers.

Fast and Simplex: 2-Simplicial Attention in Triton Universal Transformers

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-06T20:31:47.876295Z

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Observation 406ebcc6-3588-47c9-a304-295ba6f9595d · outbound

This paper cites Observation on scaling laws, May 2025.

Fast and Simplex: 2-Simplicial Attention in Triton Observation on scaling laws, May 2025

Reference 12

Resolution: verified exact; raw_fallback, observed 2026-08-06T20:31:48.443815Z

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 4002c051-2c80-480e-a493-7b6ee471d278 · outbound

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

Fast and Simplex: 2-Simplicial Attention in Triton Mamba: Linear-Time Sequence Modeling with Selective State Spaces

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-06T20:31:47.884864Z

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Observation 4c514223-5d96-4024-becc-8bfcd87ce561 · outbound

This paper cites Array programming with numpy.

Fast and Simplex: 2-Simplicial Attention in Triton Array programming with numpy

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:31:48.703801Z

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 4fdb58ff-8252-4600-8029-4acf51ec3f0c · outbound

This paper cites Measuring Massive Multitask Language Understanding.

Fast and Simplex: 2-Simplicial Attention in Triton Measuring Massive Multitask Language Understanding

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-06T20:31:47.892175Z

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Observation 376662f9-ce1a-4eff-a1b6-398b00adfed2 · outbound

This paper cites Deep Learning Scaling is Predictable, Empirically.

Fast and Simplex: 2-Simplicial Attention in Triton Deep Learning Scaling is Predictable, Empirically

Reference 16

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Observation 13036418-3af6-4cc3-afd8-77753e7ca1f7 · outbound

This paper cites Training Compute-Optimal Large Language Models.

Fast and Simplex: 2-Simplicial Attention in Triton Training Compute-Optimal Large Language Models

Reference 17

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Observation aa2cb402-81a2-49e2-a6c6-a22fbf0238a5 · outbound

This paper cites Gpipe: Efficient training of giant neural networks using pipeline parallelism.

Fast and Simplex: 2-Simplicial Attention in Triton Gpipe: Efficient training of giant neural networks using pipeline parallelism

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-06T20:31:47.903756Z

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Observation f74d41ae-9f75-40f5-8469-8ffdf781a5d9 · outbound

This paper cites Hierarchical mixtures of experts and the em algorithm.

Fast and Simplex: 2-Simplicial Attention in Triton Hierarchical mixtures of experts and the em algorithm

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-06T20:31:47.907332Z

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Observation d1e28537-9b05-40cc-ab23-a18704ba6fde · outbound

This paper cites Highly accurate protein structure prediction with alphafold.

Fast and Simplex: 2-Simplicial Attention in Triton Highly accurate protein structure prediction with alphafold

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-06T20:31:47.910669Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1a5b0c91-caab-4467-bb19-e891a840abca · outbound

This paper cites Scaling Laws for Neural Language Models.

Fast and Simplex: 2-Simplicial Attention in Triton Scaling Laws for Neural Language Models

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-06T20:31:47.913958Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cbaf4031-3885-4590-b9fd-02197c6f2046 · outbound

This paper cites Transformers are rnns: fast autoregressive transformers with linear attention.

Fast and Simplex: 2-Simplicial Attention in Triton Transformers are rnns: fast autoregressive transformers with linear attention

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:31:48.667478Z

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 69a3d88a-2181-42f3-9a96-0f1573a004b0 · outbound

This paper cites Strassen attention: Unlocking compositional abilities in transformers based on a new lower bound method.

Fast and Simplex: 2-Simplicial Attention in Triton Strassen attention: Unlocking compositional abilities in transformers based on a new lower bound method

Reference 23

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Observation 1f0d2026-bec1-4d54-baa4-cba9a41b96f9 · outbound

This paper cites Decoupled Weight Decay Regularization.

Fast and Simplex: 2-Simplicial Attention in Triton Decoupled Weight Decay Regularization

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-06T20:31:47.925509Z

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Observation dbab16ea-a0fa-4f35-93fc-82d5fe2344cf · outbound

This paper cites Devanur, Gregory R.

Fast and Simplex: 2-Simplicial Attention in Triton Devanur, Gregory R

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-06T20:31:47.929662Z

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Observation 05c211e6-ce1f-4e3a-a243-75e3904e0f3c · outbound

This paper cites Image transformer.

Fast and Simplex: 2-Simplicial Attention in Triton Image transformer

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:31:48.655195Z

Source-reported events for the cited work

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Observation 612c1e31-617f-40b2-8acf-a82378020f05 · outbound

This paper cites Efficient content-based sparse attention with routing transformers.

Fast and Simplex: 2-Simplicial Attention in Triton Efficient content-based sparse attention with routing transformers

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-06T20:31:47.936863Z

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Observation 3b78d1ba-6456-44db-820f-2801cdf63c95 · outbound

This paper cites N-Grammer: Augmenting Transformers with latent n-grams.

Fast and Simplex: 2-Simplicial Attention in Triton N-Grammer: Augmenting Transformers with latent n-grams

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-06T20:31:47.940113Z

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Observation dd73ca29-adb4-4334-bf34-4ebf9ef17a3c · outbound

This paper cites Representational strengths and limitations of transformers.

Fast and Simplex: 2-Simplicial Attention in Triton Representational strengths and limitations of transformers

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:31:48.635934Z

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Observation 7cb73c37-19bc-4b79-865f-0299409f9023 · outbound

This paper cites Reasoning with Latent Thoughts: On the Power of Looped Transformers.

Fast and Simplex: 2-Simplicial Attention in Triton Reasoning with Latent Thoughts: On the Power of Looped Transformers

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-06T20:31:47.946894Z

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Observation 46102a7f-c4b2-430e-a1bb-0552fd654313 · outbound

This paper cites Outrageously Large Neural Networks: The Sparsely-Gated Mixture-of-Experts Layer.

Fast and Simplex: 2-Simplicial Attention in Triton Outrageously Large Neural Networks: The Sparsely-Gated Mixture-of-Experts Layer

Reference 31

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Observation df7e133b-f805-4a35-81f7-064cee55d01d · outbound

This paper cites Scaling Laws for Linear Complexity Language Models.

Fast and Simplex: 2-Simplicial Attention in Triton Scaling Laws for Linear Complexity Language Models

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-06T20:31:47.953763Z

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Observation bdf97131-425f-473d-9128-8e70286c6a36 · outbound

This paper cites Searching for efficient transformers for language modeling.

Fast and Simplex: 2-Simplicial Attention in Triton Searching for efficient transformers for language modeling

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:31:48.624188Z

Source-reported events for the cited work

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Observation 6801fb92-50a7-4266-800d-26187a2e3a49 · outbound

This paper cites Beyond neural scaling laws: beating power law scaling via data pruning.

Fast and Simplex: 2-Simplicial Attention in Triton Beyond neural scaling laws: beating power law scaling via data pruning

Reference 34

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Observation b0fad808-806b-42f6-b332-7e33fd351338 · outbound

This paper cites Introduction to linear algebra.

Fast and Simplex: 2-Simplicial Attention in Triton Introduction to linear algebra

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:31:48.604410Z

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Observation 13fe905a-2e17-408a-a2f3-3951992d2336 · outbound

This paper cites Roformer: Enhanced transformer with rotary position embedding.

Fast and Simplex: 2-Simplicial Attention in Triton Roformer: Enhanced transformer with rotary position embedding

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-06T20:31:47.968446Z

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Observation b5793db7-c1be-46d9-b7f8-113e2647b778 · outbound

This paper cites Gemini: A Family of Highly Capable Multimodal Models.

Fast and Simplex: 2-Simplicial Attention in Triton Gemini: A Family of Highly Capable Multimodal Models

Reference 37

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Observation cf94e19e-fde5-4398-a263-95f5696d1932 · outbound

This paper cites LLaMA: Open and Efficient Foundation Language Models.

Fast and Simplex: 2-Simplicial Attention in Triton LLaMA: Open and Efficient Foundation Language Models

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-06T20:31:47.975851Z

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Observation 9bd4d8bf-6a49-442d-af78-ccc248a73793 · outbound

This paper cites On the uniform convergence of relative frequencies of events to their probabilities.

Fast and Simplex: 2-Simplicial Attention in Triton On the uniform convergence of relative frequencies of events to their probabilities

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:31:48.585422Z

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Observation 194abe7a-bc53-4dae-a01f-f76f132f7c73 · outbound

This paper cites Attention is all you need.

Fast and Simplex: 2-Simplicial Attention in Triton Attention is all you need

Reference 40

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Observation 0e702b2e-fec5-4033-b4d5-6438bb9c529d · outbound

This paper cites Dcn v2: Improved deep & cross network and practical lessons for web-scale learning to rank systems.

Fast and Simplex: 2-Simplicial Attention in Triton Dcn v2: Improved deep & cross network and practical lessons for web-scale learning to rank systems

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:31:48.565542Z

Source-reported events for the cited work

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Observation 7c70767d-2472-41d1-b22e-34022cde12bc · outbound

This paper cites Mmlu-pro: A more robust and challenging multi-task language understanding benchmark.

Fast and Simplex: 2-Simplicial Attention in Triton Mmlu-pro: A more robust and challenging multi-task language understanding benchmark

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-06T20:31:47.989049Z

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Observation 7baf9805-b726-47c2-987a-4119f5be4ac3 · outbound

This paper cites Looped Transformers are Better at Learning Learning Algorithms.

Fast and Simplex: 2-Simplicial Attention in Triton Looped Transformers are Better at Learning Learning Algorithms

Reference 43

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Observation c5627278-022b-4e60-a142-af34a25a09b2 · outbound

This paper cites Native Sparse Attention: Hardware-Aligned and Natively Trainable Sparse Attention.

Fast and Simplex: 2-Simplicial Attention in Triton Native Sparse Attention: Hardware-Aligned and Natively Trainable Sparse Attention

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-06T20:31:47.995786Z

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Observation 156c8414-88fe-4294-8961-e7f04c55fb01 · outbound

This paper cites Big bird: Transformers for longer sequences.

Fast and Simplex: 2-Simplicial Attention in Triton Big bird: Transformers for longer sequences

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-06T20:31:47.999795Z

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Observation d01a39a2-e8f4-4d62-ae49-70fe1aa6f144 · outbound

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Fast and Simplex: 2-Simplicial Attention in Triton write newline

Reference 46

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Pith citing papers

Observation efe69367-f1cc-4101-9158-10098582d9df · inbound

TLX: Hardware-Native, Evolvable MIMW GPU Compiler for Large-scale Production Environments cites this paper.

TLX: Hardware-Native, Evolvable MIMW GPU Compiler for Large-scale Production Environments Fast and Simplex: 2-Simplicial Attention in Triton

Reference 26

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Observation b79e26a7-55a5-43c7-8f36-65502312a56e · inbound

TLX: Hardware-Native, Evolvable MIMW GPU Compiler for Large-scale Production Environments cites this paper.

TLX: Hardware-Native, Evolvable MIMW GPU Compiler for Large-scale Production Environments Fast and Simplex: 2-Simplicial Attention in Triton

Reference 26

Resolution: verified exact; arxiv_id, observed 2026-05-15T05:09:44.705534Z

Source-reported events for the cited work

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Observation d4ed6c44-3b7e-48f2-a18e-c2f7402a604c · inbound

Higher-Order Fourier Neural Operator: Explicit Mode Mixer for Nonlinear PDEs cites this paper.

Higher-Order Fourier Neural Operator: Explicit Mode Mixer for Nonlinear PDEs Fast and Simplex: 2-Simplicial Attention in Triton

Reference 25

Resolution: verified exact; arxiv_id, observed 2026-07-01T18:45:58.259504Z

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Observation 245dc3a0-35ab-45f4-9473-e9397413bd63 · inbound

Linearized 2-Simplicial Attention cites this paper.

Linearized 2-Simplicial Attention Fast and Simplex: 2-Simplicial Attention in Triton

Reference 3

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