Paper Citation Record · LEDGER

Additive function approximation in the brain

As of 15 August 2026, this Paper Citation Record lists 60 of 60 outbound references and 1 inbound Pith citation observation for arXiv:1909.02603.

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

pith.paper-citation-record.v1
1909.02603 v2

Coverage vector

measured 60 of 60 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-14T04:52:34.897461Z

measured 61 of 61 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-28T11:36:45.020411Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T01:46:26.285626Z

Reference resolution

60 of 60 outbound references displayed

verified exact14
verified fuzzy16
unresolved27
parse uncertain0
malformed identifier0
metadata mismatch3

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation a572e420-5617-407a-81c4-de08a3a2d70c · outbound

This paper cites Additive Approximations in High Dimensional Nonparametric Regression via the SALSA.

Additive function approximation in the brain Additive Approximations in High Dimensional Nonparametric Regression via the SALSA

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T04:52:36.057106Z

Source-reported events for the cited work

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Observation 51b4df41-ccd0-4f55-a64f-58f9ddda0314 · outbound

This paper cites Random Features for Large - Scale Kernel Machines.

Additive function approximation in the brain Random Features for Large - Scale Kernel Machines

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T04:52:36.042625Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 9ad2fab5-f248-4a1b-9af0-d7f34d2b08c5 · outbound

This paper cites Smola, Zolt \'a n L.

Additive function approximation in the brain Smola, Zolt \'a n L

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T04:52:36.029632Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 615da75b-72a6-4adf-9546-bc9827635490 · outbound

This paper cites Breaking the Curse of Dimensionality with Convex Neural Networks.

Additive function approximation in the brain Breaking the Curse of Dimensionality with Convex Neural Networks

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T04:52:36.016676Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation c28289c0-3d7d-49e2-8d52-aa90e176fe3d · outbound

This paper cites an unresolved cited work.

Additive function approximation in the brain Unresolved cited work

Reference 5

Resolution: unresolved; raw_fallback, observed 2026-08-14T04:52:36.002892Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 6c70c61e-1411-4592-97cb-d589d66443ce · outbound

This paper cites Analysis and Extension of Arc-Cosine Kernels for Large Margin Classification.

Additive function approximation in the brain Analysis and Extension of Arc-Cosine Kernels for Large Margin Classification

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-14T04:52:34.665951Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4cfec959-c03d-48f5-bb8e-732386c5bae2 · outbound

This paper cites On the Equivalence Between Kernel Quadrature Rules and Random Feature Expansions.

Additive function approximation in the brain On the Equivalence Between Kernel Quadrature Rules and Random Feature Expansions

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T04:52:35.989010Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation fe036bc4-ef07-4671-8b7c-d71efe387b65 · outbound

This paper cites On the Error of Random Fourier Features.

Additive function approximation in the brain On the Error of Random Fourier Features

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-14T04:52:34.675531Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 39cc4de6-d395-404c-b74b-a6575df728a2 · outbound

This paper cites Optimal Rates for Random Fourier Features.

Additive function approximation in the brain Optimal Rates for Random Fourier Features

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T04:52:35.975489Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 96b49df9-9929-4300-ad9e-53396239aacf · outbound

This paper cites Generalization Properties of Learning with Random Features.

Additive function approximation in the brain Generalization Properties of Learning with Random Features

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T04:52:35.963237Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation e1bf33d7-b0d3-44cc-a098-fd402bf922a9 · outbound

This paper cites But How Does It Work in Theory? Linear SVM with Random Features.

Additive function approximation in the brain But How Does It Work in Theory? Linear SVM with Random Features

Reference 11

Resolution: verified exact; local_arxiv, observed 2026-08-14T04:52:35.762167Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation cf3a9340-10cb-4afb-8dbf-3f04c6a00e8a · outbound

This paper cites Breaking the Curse of Dimensionality with Convex Neural Networks.

Additive function approximation in the brain Breaking the Curse of Dimensionality with Convex Neural Networks

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T04:52:35.949453Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 68aa5568-1c78-41c1-bb44-973179b53fb9 · outbound

This paper cites Neural Tangent Kernel: Convergence and Generalization in Neural Networks.

Additive function approximation in the brain Neural Tangent Kernel: Convergence and Generalization in Neural Networks

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-14T04:52:34.698422Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5207c381-4ab2-4aee-96b0-3bbf4ff91c8c · outbound

This paper cites On the Global Convergence of Gradient Descent for Over-parameterized Models using Optimal Transport.

Additive function approximation in the brain On the Global Convergence of Gradient Descent for Over-parameterized Models using Optimal Transport

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-14T04:52:34.703994Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6d0614e6-8425-4a65-8835-dfe4f58d8e6e · outbound

This paper cites A Mean Field View of the Landscape of Two-Layers Neural Networks.

Additive function approximation in the brain A Mean Field View of the Landscape of Two-Layers Neural Networks

Reference 15

Resolution: verified exact; local_arxiv, observed 2026-08-14T04:52:35.718834Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 6e32a67a-7c8a-4c1c-963e-d0d4ea90932e · outbound

This paper cites Trainability and Accuracy of Neural Networks: An Interacting Particle System Approach.

Additive function approximation in the brain Trainability and Accuracy of Neural Networks: An Interacting Particle System Approach

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-14T04:52:34.712825Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 03e3c701-2fc3-4865-ab25-509c15a3dcc7 · outbound

This paper cites Spurious Valleys in Two-layer Neural Network Optimization Landscapes.

Additive function approximation in the brain Spurious Valleys in Two-layer Neural Network Optimization Landscapes

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-14T04:52:34.717228Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6b2ed6f9-c195-4bfb-849f-15df637721e3 · outbound

This paper cites Rosenblatt.

Additive function approximation in the brain Rosenblatt

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T04:52:35.937155Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 15835485-f521-4dcc-951b-e8770d7ed1ed · outbound

This paper cites an unresolved cited work.

Additive function approximation in the brain Unresolved cited work

Reference 19

Resolution: unresolved; raw_fallback, observed 2026-08-14T04:52:35.925032Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation ec0661f2-850d-465e-9b4f-8c7d956a4dbd · outbound

This paper cites Igelnik and Yoh-Han Pao.

Additive function approximation in the brain Igelnik and Yoh-Han Pao

Reference 20

Resolution: verified exact; doi, observed 2026-08-14T04:52:35.100990Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 71d65f2d-ba51-4572-98e0-7d1f12a47304 · outbound

This paper cites an unresolved cited work.

Additive function approximation in the brain Unresolved cited work

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-14T04:52:34.734382Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 41b69351-b616-428d-8cfa-d2c8edec2960 · outbound

This paper cites an unresolved cited work.

Additive function approximation in the brain Unresolved cited work

Reference 22

Resolution: unresolved; raw_fallback, observed 2026-08-14T04:52:35.912159Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 9869cdf9-edab-4049-974c-26ff8a2de049 · outbound

This paper cites The Extreme Learning Machine.

Additive function approximation in the brain The Extreme Learning Machine

Reference 23

Resolution: metadata mismatch; raw_fallback, observed 2026-08-14T04:52:35.675111Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 15e1b77b-e89b-4b9a-bd55-a44fa743eff1 · outbound

This paper cites Randomness in neural networks: An overview.

Additive function approximation in the brain Randomness in neural networks: An overview

Reference 24

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cb9ee00e-2fcf-450c-84fe-81264142116b · outbound

This paper cites Random Features for Large - Scale Kernel Machines.

Additive function approximation in the brain Random Features for Large - Scale Kernel Machines

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T04:52:35.898009Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 2a50a260-0cdf-4369-8e4c-2b0ee4fe7ebc · outbound

This paper cites Rahimi and B.

Additive function approximation in the brain Rahimi and B

Reference 26

Resolution: metadata mismatch; raw_fallback, observed 2026-08-14T04:52:35.616894Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation f23f2bb3-9c8f-40e4-bc39-d0c4dfc60bcd · outbound

This paper cites Compressed Sensing , Sparsity , and Dimensionality in Neuronal Information Processing and Data Analysis.

Additive function approximation in the brain Compressed Sensing , Sparsity , and Dimensionality in Neuronal Information Processing and Data Analysis

Reference 27

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Observation a70a2b4c-3e82-4ae3-a44e-e17b4150e7b5 · outbound

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Additive function approximation in the brain Unresolved cited work

Reference 28

Resolution: verified exact; doi, observed 2026-08-14T04:52:35.064610Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation ef074686-82aa-4a05-b43b-9407ae5c886f · outbound

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Additive function approximation in the brain Unresolved cited work

Reference 29

Resolution: verified exact; doi, observed 2026-08-14T04:52:35.052131Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 96f53518-d3df-4a0e-8d65-47a0b5dd97e4 · outbound

This paper cites Garcia, Jan-Marino Ramirez, and Eric Shea-Brown.

Additive function approximation in the brain Garcia, Jan-Marino Ramirez, and Eric Shea-Brown

Reference 30

Resolution: verified exact; raw_fallback, observed 2026-08-14T04:52:35.536204Z

Source-reported events for the cited work

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Observation 364c195b-2bd5-4095-90c0-a995b041d00e · outbound

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Additive function approximation in the brain Unresolved cited work

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-14T04:52:34.774796Z

Source-reported events for the cited work

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Observation da5d253d-e2b0-4a84-8ddd-9bcec128431d · outbound

This paper cites Alex Cayco-Gajic and R.

Additive function approximation in the brain Alex Cayco-Gajic and R

Reference 32

Resolution: verified exact; doi, observed 2026-08-14T04:52:35.031013Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation b77b3d85-f026-426e-8ab2-eca021c00d07 · outbound

This paper cites Wolff and Nicholas J.

Additive function approximation in the brain Wolff and Nicholas J

Reference 33

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Source-reported events for the cited work

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Observation 361011b9-78f9-40a0-9b12-c3367d506304 · outbound

This paper cites Learning both Weights and Connections for Efficient Neural Network.

Additive function approximation in the brain Learning both Weights and Connections for Efficient Neural Network

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T04:52:35.885283Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 0bf55cc8-cd55-4433-9f97-887564bec1d1 · outbound

This paper cites Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffman Coding.

Additive function approximation in the brain Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffman Coding

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-14T04:52:34.791234Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ae3806b3-cbfc-4ada-8a07-2072d86e4e39 · outbound

This paper cites Learning Structured Sparsity in Deep Neural Networks.

Additive function approximation in the brain Learning Structured Sparsity in Deep Neural Networks

Reference 36

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation f6277ddb-4480-4d39-87e3-508266e76d45 · outbound

This paper cites Convolutional Kernel Networks.

Additive function approximation in the brain Convolutional Kernel Networks

Reference 37

Resolution: verified exact; local_arxiv, observed 2026-08-14T04:52:35.396701Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 9f9cbb35-7e57-44f0-a8b0-8b1e77c099b6 · outbound

This paper cites Kernel-based Translations of Convolutional Networks.

Additive function approximation in the brain Kernel-based Translations of Convolutional Networks

Reference 38

Resolution: verified exact; local_arxiv, observed 2026-08-14T04:52:35.377923Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 02c7ea8c-c01c-47c3-b730-44b701a9df4e · outbound

This paper cites Spline Models for Observational Data.

Additive function approximation in the brain Spline Models for Observational Data

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T04:52:35.857865Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation aa13949f-e088-4238-ad7c-2242fd98feff · outbound

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Additive function approximation in the brain Unresolved cited work

Reference 40

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 8e07da06-e37c-4c75-bb4f-b4d680765693 · outbound

This paper cites Rasmussen.

Additive function approximation in the brain Rasmussen

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T04:52:35.831306Z

Source-reported events for the cited work

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Observation ab62e0e4-6330-46bb-8adf-4518cd5e16ad · outbound

This paper cites The Elements of Statistical Learning : Data Mining , Inference , and Prediction.

Additive function approximation in the brain The Elements of Statistical Learning : Data Mining , Inference , and Prediction

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T04:52:35.816401Z

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Observation ca426fce-35ba-44ed-808e-30af5feb7cad · outbound

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Additive function approximation in the brain Unresolved cited work

Reference 44

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Observation 9a8efbe7-5ba7-4f14-b078-274e91c9a8ae · outbound

This paper cites Improving neural networks by preventing co-adaptation of feature detectors.

Additive function approximation in the brain Improving neural networks by preventing co-adaptation of feature detectors

Reference 45

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Additive function approximation in the brain Improving Neural Networks with Dropout

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T04:52:35.802007Z

Source-reported events for the cited work

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Observation e1fef59c-2ee8-4a70-bdfd-b1759ed7c2f1 · outbound

This paper cites Avoiding pathologies in very deep networks.

Additive function approximation in the brain Avoiding pathologies in very deep networks

Reference 47

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Observation f53a928f-c367-4107-b144-6e635be405b5 · outbound

This paper cites Certified Robustness to Adversarial Examples with Differential Privacy.

Additive function approximation in the brain Certified Robustness to Adversarial Examples with Differential Privacy

Reference 48

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Unavailable: canonical work link unavailable.

Observation e9468155-a58a-4a77-8b0d-a4d0d8482ff2 · outbound

This paper cites Certified Adversarial Robustness via Randomized Smoothing.

Additive function approximation in the brain Certified Adversarial Robustness via Randomized Smoothing

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-14T04:52:34.847523Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c7c0161a-8a7e-44b8-b70f-e60730ef6b35 · outbound

This paper cites Provably Robust Deep Learning via Adversarially Trained Smoothed Classifiers.

Additive function approximation in the brain Provably Robust Deep Learning via Adversarially Trained Smoothed Classifiers

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-14T04:52:34.852049Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fd1fba41-2ee0-4dd4-a08e-1c44e447bd46 · outbound

This paper cites Fast and Robust Learning by Reinforcement Signals : Explorations in the Insect Brain.

Additive function approximation in the brain Fast and Robust Learning by Reinforcement Signals : Explorations in the Insect Brain

Reference 51

Resolution: verified exact; doi, observed 2026-08-14T04:52:35.018208Z

Source-reported events for the cited work

correction dated 2009-08-13. Source: crossref record 10.1162/neco.2009.21.9.2713->10.1162/neco.2009.03-08-733:correction, observed 2026-07-11T03:02:55.253738+00:00. This notice travels one citation hop only.

Observation 1d2faa4f-0837-4e18-b127-ac005343a647 · outbound

This paper cites Delahunt and J.

Additive function approximation in the brain Delahunt and J

Reference 52

Resolution: verified exact; doi, observed 2026-08-14T04:52:35.002894Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation e62ee933-ac6e-4ee0-9d90-03b64d5070c0 · outbound

This paper cites Insect cyborgs: Bio-mimetic feature generators improve machine learning accuracy on limited data.

Additive function approximation in the brain Insect cyborgs: Bio-mimetic feature generators improve machine learning accuracy on limited data

Reference 53

Resolution: verified exact; local_arxiv, observed 2026-08-14T04:52:35.234291Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 9799a354-23fc-4aa8-afc7-46ab1c3bae09 · outbound

This paper cites Warden, Xiao-Jing Wang, Nathaniel D.

Additive function approximation in the brain Warden, Xiao-Jing Wang, Nathaniel D

Reference 54

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Source-reported events for the cited work

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Observation 8cac0058-6394-4ba6-b376-f38a34660a19 · outbound

This paper cites Sparseness and Expansion in Sensory Representations.

Additive function approximation in the brain Sparseness and Expansion in Sensory Representations

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-14T04:52:34.873227Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1bef4f86-255c-45ad-aa09-3ec0a26dcc72 · outbound

This paper cites On the dimensionality of odor space.

Additive function approximation in the brain On the dimensionality of odor space

Reference 56

Resolution: verified exact; doi, observed 2026-08-14T04:52:34.973302Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 6dd4bd05-63d8-45b5-8568-fffb5a7fcd7d · outbound

This paper cites Stimuli Reduce the Dimensionality of Cortical Activity.

Additive function approximation in the brain Stimuli Reduce the Dimensionality of Cortical Activity

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-14T04:52:34.881367Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9dd5ec3c-c071-4183-8c28-9423467da769 · outbound

This paper cites Yu, Gopal Santhanam, Stephen Ryu, Krishna Shenoy, and Surya Ganguli.

Additive function approximation in the brain Yu, Gopal Santhanam, Stephen Ryu, Krishna Shenoy, and Surya Ganguli

Reference 58

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Observation e2349bdb-4a7f-474d-aaa6-66696db79283 · outbound

This paper cites Linking Connectivity , Dynamics , and Computations in Low - Rank Recurrent Neural Networks.

Additive function approximation in the brain Linking Connectivity , Dynamics , and Computations in Low - Rank Recurrent Neural Networks

Reference 59

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Observation e4d1f139-c1a2-4a5e-b5d5-5a6177794201 · outbound

This paper cites Farrell, Stefano Recanatesi, Guillaume Lajoie, and Eric Shea-Brown.

Additive function approximation in the brain Farrell, Stefano Recanatesi, Guillaume Lajoie, and Eric Shea-Brown

Reference 60

Resolution: verified exact; doi, observed 2026-08-14T04:52:34.941842Z

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Observation 96fbf963-5a04-4c18-8c03-cd2e8c92975a · outbound

This paper cites Learning Bounds for Kernel Regression Using Effective Data Dimensionality.

Additive function approximation in the brain Learning Bounds for Kernel Regression Using Effective Data Dimensionality

Reference 61

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Pith citing papers

Observation 7100cacc-3d17-4ce9-86ed-fc4ee3cc50b6 · inbound

How Optimality Structures Sparse Dictionaries: A Theory for Understanding SAE Representations cites this paper.

How Optimality Structures Sparse Dictionaries: A Theory for Understanding SAE Representations Additive function approximation in the brain

Reference 105

Resolution: verified exact; arxiv_id, observed 2026-07-02T01:46:26.290923Z

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