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Paper Citation Record · LEDGER

Attention's forward pass and Frank-Wolfe

As of 7 August 2026, this Paper Citation Record lists 37 of 37 outbound references and 5 inbound Pith citation observations for arXiv:2508.09628.

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

pith.paper-citation-record.v1
2508.09628 v1

Coverage vector

measured 37 of 37 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T21:05:03.281857Z

measured 42 of 42 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T20:59:36.817312Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-19T20:22:45.427956Z

Reference resolution

37 of 37 outbound references displayed

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  • verified fuzzy0
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External citation measurements

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Outbound references

Observation a79cc77b-c8d9-41b0-bfd2-225cd6c46d5f · outbound

This paper cites Clustering in pure-attention hardmax transformers and its role in sentiment analysis.

Attention's forward pass and Frank-Wolfe Clustering in pure-attention hardmax transformers and its role in sentiment analysis

Reference 1

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Observation 2a857ce5-42e7-422c-a5bf-cd165b0b8c05 · outbound

This paper cites Why do LLMs attend to the first token?.

Attention's forward pass and Frank-Wolfe Why do LLMs attend to the first token?

Reference 3

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Observation 8de2b951-47f2-426e-a1ed-49426cd7aad4 · outbound

This paper cites What Does BERT Look At? An Analysis of BERT's Attention.

Attention's forward pass and Frank-Wolfe What Does BERT Look At? An Analysis of BERT's Attention

Reference 8

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Observation de8a7f2c-3462-4114-a2d2-205411380a63 · outbound

This paper cites Quantitative Clustering in Mean-Field Transformer Models.

Attention's forward pass and Frank-Wolfe Quantitative Clustering in Mean-Field Transformer Models

Reference 10

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Observation 17465e48-62c3-4130-a215-f56782bdcdb2 · outbound

This paper cites Geometric Dynamics of Signal Propagation Predict Trainability of Transformers.

Attention's forward pass and Frank-Wolfe Geometric Dynamics of Signal Propagation Predict Trainability of Transformers

Reference 11

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Observation ad42dd54-577b-4b9e-8b4c-648d682e92bc · outbound

This paper cites Synchronization on circles and spheres with non- linear interactions.

Attention's forward pass and Frank-Wolfe Synchronization on circles and spheres with non- linear interactions

Reference 12

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Observation 98a6833f-b403-48f9-8e07-f900a757b531 · outbound

This paper cites Setting the Record Straight on Transformer Oversmoothing.

Attention's forward pass and Frank-Wolfe Setting the Record Straight on Transformer Oversmoothing

Reference 13

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Observation 2d6d96bd-2fef-4755-a75e-479fd07b444a · outbound

This paper cites HashAttention: Semantic Sparsity for Faster Inference.

Attention's forward pass and Frank-Wolfe HashAttention: Semantic Sparsity for Faster Inference

Reference 15

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Observation 262a21f3-a2d9-4cbe-b8c9-327143904bed · outbound

This paper cites Large-time asymptotics in deep learning.

Attention's forward pass and Frank-Wolfe Large-time asymptotics in deep learning

Reference 16

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Observation 12e0497c-0c22-41b7-b97a-d08a90817134 · outbound

This paper cites Dynamic metastability in the self-attention model.

Attention's forward pass and Frank-Wolfe Dynamic metastability in the self-attention model

Reference 18

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Observation 158e6bcb-d12e-4165-9bb1-dfcefd14b61f · outbound

This paper cites When Attention Sink Emerges in Language Models: An Empirical View.

Attention's forward pass and Frank-Wolfe When Attention Sink Emerges in Language Models: An Empirical View

Reference 19

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Observation a3504dfa-fff8-45d7-bd0b-dc3602970111 · outbound

This paper cites Measure-to-measure interpolation using Transformers.

Attention's forward pass and Frank-Wolfe Measure-to-measure interpolation using Transformers

Reference 20

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Observation 8d0bf044-d43e-460e-b9cd-56f0bcf44e83 · outbound

This paper cites On the num- ber of modes of Gaussian kernel density estimators.

Attention's forward pass and Frank-Wolfe On the num- ber of modes of Gaussian kernel density estimators

Reference 21

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Observation dcbc64f4-0be8-498f-b08e-0685c9966b15 · outbound

This paper cites OT-Transformer: A Continuous-time Transformer Architecture with Optimal Transport Regularization.

Attention's forward pass and Frank-Wolfe OT-Transformer: A Continuous-time Transformer Architecture with Optimal Transport Regularization

Reference 23

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Observation 0acc40c1-1587-462c-9606-2f3dd6be362d · outbound

This paper cites Convergence Rate of Frank-Wolfe for Non-Convex Objectives.

Attention's forward pass and Frank-Wolfe Convergence Rate of Frank-Wolfe for Non-Convex Objectives

Reference 24

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Observation 081c77cc-c564-48f5-8658-6911c065cbf1 · outbound

This paper cites The Sparse Frontier: Sparse Attention Trade-offs in Transformer LLMs.

Attention's forward pass and Frank-Wolfe The Sparse Frontier: Sparse Attention Trade-offs in Transformer LLMs

Reference 26

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Observation 00aa6a06-0312-44d2-a433-36cc74d98dd5 · outbound

This paper cites Revisiting Over-smoothing in BERT from the Perspective of Graph.

Attention's forward pass and Frank-Wolfe Revisiting Over-smoothing in BERT from the Perspective of Graph

Reference 29

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Observation 57282a15-f411-456a-84a5-032af00dde3f · outbound

This paper cites Exploiting Sparsity for Long Context Inference: Million Token Contexts on Commodity GPUs.

Attention's forward pass and Frank-Wolfe Exploiting Sparsity for Long Context Inference: Million Token Contexts on Commodity GPUs

Reference 30

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Observation 494fae0f-631f-4625-b04d-5b7192da51d5 · outbound

This paper cites Prefixing Attention Sinks can Mitigate Activation Outliers for Large Language Model Quantization.

Attention's forward pass and Frank-Wolfe Prefixing Attention Sinks can Mitigate Activation Outliers for Large Language Model Quantization

Reference 31

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Observation 538ee197-ac36-440d-a423-7bbaf0feba7c · outbound

This paper cites Solutions of stationary McKean-Vlasov equation on a high-dimensional sphere and other Riemannian manifolds.

Attention's forward pass and Frank-Wolfe Solutions of stationary McKean-Vlasov equation on a high-dimensional sphere and other Riemannian manifolds

Reference 32

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Observation c36067ca-a734-4c41-add4-e6d4b7185725 · outbound

This paper cites Residual connections and normalization can provably pre- vent oversmoothing in gnns.

Attention's forward pass and Frank-Wolfe Residual connections and normalization can provably pre- vent oversmoothing in gnns

Reference 33

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Observation ca4b5a50-be6b-4172-ae63-fd07b01d3c88 · outbound

This paper cites Recurrent self-attention dy- namics: An energy-agnostic perspective from Jacobians.

Attention's forward pass and Frank-Wolfe Recurrent self-attention dy- namics: An energy-agnostic perspective from Jacobians

Reference 34

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Observation 17f3ed77-d668-453a-83aa-885d58529a95 · outbound

This paper cites Transformer-based Causal Language Models Perform Clustering.

Attention's forward pass and Frank-Wolfe Transformer-based Causal Language Models Perform Clustering

Reference 36

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Observation 84895308-faa7-4380-a1be-acbcc3c7461e · outbound

This paper cites Learning Gaussian Mixture Models via Transformer Mea- sure Flows.

Attention's forward pass and Frank-Wolfe Learning Gaussian Mixture Models via Transformer Mea- sure Flows

Reference 37

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Observation 371ea7a7-c3d8-4c64-9fd8-d0eb67aa8408 · outbound

This paper cites Understanding Catastrophic Forgetting In LoRA via Mean-Field Attention Dynamics.

Attention's forward pass and Frank-Wolfe Understanding Catastrophic Forgetting In LoRA via Mean-Field Attention Dynamics

Reference 1973

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Observation b9a84948-b02f-4242-bc2b-51587ca2242c · outbound

This paper cites Finding Clustering Algorithms in the Transformer Architecture.

Attention's forward pass and Frank-Wolfe Finding Clustering Algorithms in the Transformer Architecture

Reference 1996

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Observation 84fbdc7d-2dfd-484a-8773-869950266557 · outbound

This paper cites Two failure modes of deep transformers and how to avoid them: a unified theory of signal propagation at initialisation.

Attention's forward pass and Frank-Wolfe Two failure modes of deep transformers and how to avoid them: a unified theory of signal propagation at initialisation

Reference 2004

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Observation 9484b247-29cb-44e4-a03a-7128988fae8c · outbound

This paper cites Self-attention Networks Localize When QK-eigenspectrum Concentrates.

Attention's forward pass and Frank-Wolfe Self-attention Networks Localize When QK-eigenspectrum Concentrates

Reference 2005

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Observation ccb18f0d-2307-4b30-80bc-525375f2b941 · outbound

This paper cites Synchronization of mean-field models on the circle.

Attention's forward pass and Frank-Wolfe Synchronization of mean-field models on the circle

Reference 2007

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Observation 02f2568a-cf97-47ad-8fe9-c5fa3b1a24af · outbound

This paper cites Towards understanding how attention mechanism works in deep learning.

Attention's forward pass and Frank-Wolfe Towards understanding how attention mechanism works in deep learning

Reference 2012

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Observation 72a598f8-4f63-4750-952a-5f2c788ec367 · outbound

This paper cites The Geometry of Tokens in Internal Representations of Large Language Models.

Attention's forward pass and Frank-Wolfe The Geometry of Tokens in Internal Representations of Large Language Models

Reference 2015

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Observation 1126e4a3-feee-49f0-b245-31c76acbda4d · outbound

This paper cites Understanding and Improving Transformer From a Multi-Particle Dynamic System Point of View.

Attention's forward pass and Frank-Wolfe Understanding and Improving Transformer From a Multi-Particle Dynamic System Point of View

Reference 2016

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Observation 555c9677-29c9-478e-a733-7558f45f99eb · outbound

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Attention's forward pass and Frank-Wolfe Continuum attention for neural operators

Reference 2019

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Observation 390a7195-ac1d-470b-b503-314d173b73ae · outbound

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

Attention's forward pass and Frank-Wolfe DeepSeekMoE: Towards Ultimate Expert Specialization in Mixture-of-Experts Language Models

Reference 2021

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Observation 188a1fad-ad55-4b70-b2e7-7cd138745c58 · outbound

This paper cites A Unified Perspective on the Dynamics of Deep Transformers.

Attention's forward pass and Frank-Wolfe A Unified Perspective on the Dynamics of Deep Transformers

Reference 2022

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Observation d2d0fa49-e60d-42c1-aa89-fb76debf5d82 · outbound

This paper cites Only Large Weights (And Not Skip Connections) Can Prevent the Perils of Rank Collapse.

Attention's forward pass and Frank-Wolfe Only Large Weights (And Not Skip Connections) Can Prevent the Perils of Rank Collapse

Reference 2024

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Observation 979aa6c9-75d3-4961-a16b-81985ff1f8ea · outbound

This paper cites Breaking BERT: Evaluating and Optimizing Sparsified Attention.

Attention's forward pass and Frank-Wolfe Breaking BERT: Evaluating and Optimizing Sparsified Attention

Reference 2025

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Pith citing papers

Observation 309dc42d-5c34-4ea4-b840-7fbbe20d47fa · inbound

Physics- and geometry-aware spatio-spectral graph neural operator for time-independent and time-dependent PDEs cites this paper.

Physics- and geometry-aware spatio-spectral graph neural operator for time-independent and time-dependent PDEs Attention's forward pass and Frank-Wolfe

Reference 1

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Observation 9ff66935-5964-44bf-84ef-d05cf39f9040 · inbound

Perceptrons and localization of attention's mean-field landscape cites this paper.

Perceptrons and localization of attention's mean-field landscape Attention's forward pass and Frank-Wolfe

Reference 1

Resolution
metadata mismatch
arxiv_id, observed 2026-05-16T09:50:49.255283Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 6c0dd501-97f7-4d37-bba9-b268c4f4d725 · inbound

Quantifying Concentration Phenomena of Mean-Field Transformers in the Low-Temperature Regime cites this paper.

Quantifying Concentration Phenomena of Mean-Field Transformers in the Low-Temperature Regime Attention's forward pass and Frank-Wolfe

Reference 3

Resolution
verified exact
arxiv_id, observed 2026-05-12T07:21:23.623296Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-12T03:29:02.798274Z digest=sha256:4687bdf184dee4f2072d04267e5b62909cc84ae53c43c0859fb4f0eca864b94d

Observation 453e05bf-04b4-4332-a7e0-9f676057d857 · inbound

Propagation of Chaos in Contextual Flow Maps cites this paper.

Propagation of Chaos in Contextual Flow Maps Attention's forward pass and Frank-Wolfe

Reference 1

Resolution
verified exact
arxiv_id, observed 2026-05-19T20:22:45.429760Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-19T20:19:15.267696Z digest=sha256:d7301cd9ca8b76637f13a5d9b039c8c6969419b80bcb4aef9be11b77d2c8144a

Observation ac331234-f9f4-4382-8e49-bdc6e6b0b237 · inbound

On the Diverse Dynamical Behaviors Arising in Deep Linear Transformers cites this paper.

On the Diverse Dynamical Behaviors Arising in Deep Linear Transformers Attention's forward pass and Frank-Wolfe

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-01T15:04:59.632998Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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