Pith. sign in

Paper Citation Record · LEDGER

On the Existence of Simpler Machine Learning Models

As of 16 August 2026, this Paper Citation Record lists 56 of 56 outbound references and 4 inbound Pith citation observations for arXiv:1908.01755.

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

pith.paper-citation-record.v1
1908.01755 v4

Coverage vector

measured 56 of 56 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-14T15:09:53.320948Z

measured 60 of 60 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-28T17:57:38.997532Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-28T18:02:27.006046Z

Reference resolution

56 of 56 outbound references displayed

  • verified exact1
  • verified fuzzy47
  • unresolved8
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 3d2d2448-3f8a-4719-87ee-9fc494c8a456 · outbound

This paper cites Certifiably optimal rule lists for categorical data.

On the Existence of Simpler Machine Learning Models Certifiably optimal rule lists for categorical data

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T15:09:54.387824Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-14T15:09:52.830558Z digest=sha256:e98c9b0a6812bb009908931e6ea365e9cbf5e02a619c945752a75f5aa6df9aa9

Observation 71a2d5f8-5f6a-4639-82e4-28dd28451670 · outbound

This paper cites Machine bias.

On the Existence of Simpler Machine Learning Models Machine bias

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T15:09:54.373549Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-14T15:09:52.836285Z digest=sha256:7f0754b77b0abf6af853f365017c7b17deb957423c2931bfeb302f4e50068f62

Observation c59bdc86-b204-4d17-ab99-58a080d79ab5 · outbound

This paper cites Rademacher and G aussian complexities: Risk bounds and structural results.

On the Existence of Simpler Machine Learning Models Rademacher and G aussian complexities: Risk bounds and structural results

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T15:09:54.357485Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-14T15:09:52.841505Z digest=sha256:2a830f308c5fcc9d385383305ff8f83b17eebfacbc125dfd91b06f2be9466c08

Observation fc441e41-2d8b-48ca-88f8-940c864cf74f · outbound

This paper cites Local R ademacher complexities.

On the Existence of Simpler Machine Learning Models Local R ademacher complexities

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T15:09:54.344426Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-14T15:09:52.849121Z digest=sha256:378ce82fb70fd947ea715afe225add4104156f27f34d40d59f662c3ec7e18adc

Observation 7418e713-bc63-4f7d-8fc7-b27703bd6295 · outbound

This paper cites Stability and generalization.

On the Existence of Simpler Machine Learning Models Stability and generalization

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-14T15:09:52.855006Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T15:09:52.855006Z digest=sha256:020919337006749999ceb18401b3d25b481b4c8fbb9f4618a28900ef2456d223

Observation a76cddda-471f-47ea-bf99-dda9b813441e · outbound

This paper cites Statistical modeling: The two cultures (with comments and a rejoinder by the author).

On the Existence of Simpler Machine Learning Models Statistical modeling: The two cultures (with comments and a rejoinder by the author)

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T15:09:54.323787Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-14T15:09:52.860551Z digest=sha256:d4e4254aa7898302337d56fee2ec0fb48462b5267331bf6cf978a7e3ce53dbe7

Observation 44267f7d-7401-4cff-9354-6fdb03c57ad8 · outbound

This paper cites A tutorial on support vector machines for pattern recognition.

On the Existence of Simpler Machine Learning Models A tutorial on support vector machines for pattern recognition

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T15:09:54.310820Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-14T15:09:52.865624Z digest=sha256:28fe70b1846de57505fd881bce443e0ad17ccc97c92553a4779d780be57e636c

Observation 70e40e1a-459f-4f3b-bc3b-e5e4f74e86b6 · outbound

This paper cites Multi-class L 2, 1-norm support vector machine.

On the Existence of Simpler Machine Learning Models Multi-class L 2, 1-norm support vector machine

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T15:09:54.297079Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-14T15:09:52.869795Z digest=sha256:2d79160375d41ef9af229230d3fde56bd647544d857812669a7fb1f1ef85cf9d

Observation 155a0315-10c2-424e-b070-2baf6e273fdf · outbound

This paper cites The estimate for approximation error of neural networks: A constructive approach.

On the Existence of Simpler Machine Learning Models The estimate for approximation error of neural networks: A constructive approach

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T15:09:54.281781Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-14T15:09:52.874599Z digest=sha256:65c85ec5ef1c4cd7b564ca6a6b2b3a0b9cbbcfd3af99254f1a58faa18bde3887

Observation 6a3bd086-3ce4-4d40-8d0f-23a05c07a9c8 · outbound

This paper cites Intelligible models for healthcare: Predicting pneumonia risk and hospital 30-day readmission.

On the Existence of Simpler Machine Learning Models Intelligible models for healthcare: Predicting pneumonia risk and hospital 30-day readmission

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T15:09:54.264317Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-14T15:09:52.879270Z digest=sha256:59a728e4ef8f96df4a86cefb761282ebe7cf0d0faf964f6adc9dad47868cf3af

Observation a329be05-896a-4823-987b-73d673a2fd8c · outbound

This paper cites Entropy-SGD: Biasing Gradient Descent Into Wide Valleys.

On the Existence of Simpler Machine Learning Models Entropy-SGD: Biasing Gradient Descent Into Wide Valleys

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-14T15:09:52.884254Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T15:09:52.884254Z digest=sha256:28ed8e727c1bad701c0bc49a7bc90d3aa9df1158e35381ab1b8cc85aabb0465c

Observation 56896fc7-01b9-49ad-be34-e320a0f1cd7e · outbound

This paper cites An interpretable model with globally consistent explanations for credit risk.

On the Existence of Simpler Machine Learning Models An interpretable model with globally consistent explanations for credit risk

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T15:09:54.250136Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-14T15:09:52.889103Z digest=sha256:f518ffbd3c183c7552f5482168a44d81ddee1bf21c3b49ce887e1ed99868a692

Observation cfa7447c-77b7-442d-a842-34be7567fade · outbound

This paper cites A Theory of Statistical Inference for Ensuring the Robustness of Scientific Results.

On the Existence of Simpler Machine Learning Models A Theory of Statistical Inference for Ensuring the Robustness of Scientific Results

Reference 13

Resolution
verified exact
local_arxiv, observed 2026-08-14T15:09:53.412493Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-14T15:09:52.893768Z digest=sha256:450b4ff6dc8465cbed6931cae521185fbea2befab2636350c5bf13e95dd3a50f

Observation 4533c36b-f5ec-4696-bb36-b14c8084d68f · outbound

This paper cites Algorithms and error bounds for multivariate piecewise constant approximation.

On the Existence of Simpler Machine Learning Models Algorithms and error bounds for multivariate piecewise constant approximation

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T15:09:54.236919Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-14T15:09:52.899669Z digest=sha256:07328d66fb69233bafd7085079faa4ecf42b7547a16636c3fba34451d732c6ed

Observation e87e104a-8058-4036-9047-2682d8219549 · outbound

This paper cites Nonlinear approximation.

On the Existence of Simpler Machine Learning Models Nonlinear approximation

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T15:09:54.222914Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-14T15:09:52.904465Z digest=sha256:3e0431ae96233bd61668949c93a99e4ce06addc18571f69c494a0ac524d11f49

Observation 7fa8cf69-9ce6-4830-abe2-a337c117d8cf · outbound

This paper cites Sharp Minima Can Generalize For Deep Nets.

On the Existence of Simpler Machine Learning Models Sharp Minima Can Generalize For Deep Nets

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-14T15:09:52.909654Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T15:09:52.909654Z digest=sha256:15bc91191989a121ef818bce8ff6c7978fc1190a86a096a2f13073af373aaa5f

Observation b0b457c4-7ddf-4b20-add5-1f977b112d83 · outbound

This paper cites UCI machine learning repository, 2019.

On the Existence of Simpler Machine Learning Models UCI machine learning repository, 2019

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-14T15:09:52.916034Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T15:09:52.916034Z digest=sha256:d76c46a2c2e70b8a4d62bba808cdf463cbdb400d277e315540454412ff8b30e9

Observation cf133cdf-6c91-46dc-bac8-f82a1b93bfa4 · outbound

This paper cites All models are wrong, but many are useful: Learning a variable's importance by studying an entire class of prediction models simultaneously.

On the Existence of Simpler Machine Learning Models All models are wrong, but many are useful: Learning a variable's importance by studying an entire class of prediction models simultaneously

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T15:09:54.198681Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-14T15:09:52.921343Z digest=sha256:97329c1410b5992d62955048df061b64e4a5a8612b9a56e01a35f97bec734e27

Observation ddfeae5e-f508-4268-9ce5-61d3d39e3313 · outbound

This paper cites Three tutorial lectures on entropy and counting.

On the Existence of Simpler Machine Learning Models Three tutorial lectures on entropy and counting

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-14T15:09:52.926441Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T15:09:52.926441Z digest=sha256:12de514ba85e640cd108a1e89a2580147c8ae27ed746d064f5e090209c6ea806

Observation b7a298cb-60ae-4045-9081-6e55a6ee8140 · outbound

This paper cites Geometric algorithms and combinatorial optimization, volume 2.

On the Existence of Simpler Machine Learning Models Geometric algorithms and combinatorial optimization, volume 2

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-14T15:09:52.932824Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T15:09:52.932824Z digest=sha256:83329b7f264a8035ef06cf7384efbd7caafe2318412a66aa4bc5b0460bff47a0

Observation 7b1bd9f2-8ea6-4002-a6bd-656a1613d542 · outbound

This paper cites Flat minima.

On the Existence of Simpler Machine Learning Models Flat minima

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T15:09:54.175726Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-14T15:09:52.936929Z digest=sha256:a2f4613bad14be4f08719abdb6f8fca75b1fbebb875b1b5e4189d02f994d40f8

Observation f6e3368f-3a20-4b4e-aa9d-04083e2aaed4 · outbound

This paper cites On the complexity of linear prediction: Risk bounds, margin bounds, and regularization.

On the Existence of Simpler Machine Learning Models On the complexity of linear prediction: Risk bounds, margin bounds, and regularization

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T15:09:54.161617Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-14T15:09:52.941839Z digest=sha256:816ce28895277cae53bf1a08460b3f0ac526d7e1a70f0b1160a1997deb2171af

Observation 2bc77579-15b6-4ab1-9d92-e9443412541f · outbound

This paper cites Random walks and an O ^*(n^5) volume algorithm for convex bodies.

On the Existence of Simpler Machine Learning Models Random walks and an O ^*(n^5) volume algorithm for convex bodies

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T15:09:54.147285Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-14T15:09:52.946375Z digest=sha256:dbc84ee952f8e50d1d64aed3a64e8a2e3ae675f1bbe1245d85dbf6c709a7bf09

Observation 07ba3156-f491-494e-b92d-2ab975247a11 · outbound

This paper cites Algorithmic stability and sanity-check bounds for leave-one-out cross-validation.

On the Existence of Simpler Machine Learning Models Algorithmic stability and sanity-check bounds for leave-one-out cross-validation

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T15:09:54.133127Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-14T15:09:52.950675Z digest=sha256:741e87d29bfbddaa41e79c6adaacbd15595cbc8959f24f893f8794c7b7531ca6

Observation 61b4ab26-54a5-4045-a9bc-6ab49967c2ed · outbound

This paper cites On Large-Batch Training for Deep Learning: Generalization Gap and Sharp Minima.

On the Existence of Simpler Machine Learning Models On Large-Batch Training for Deep Learning: Generalization Gap and Sharp Minima

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-14T15:09:52.955013Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T15:09:52.955013Z digest=sha256:ef306ad992766c835af19da66d9d4a93f0234ff569544769b21e21ab046c12db

Observation 485038dd-d29d-4032-8d99-fd3172304e3f · outbound

This paper cites Empirical margin distributions and bounding the generalization error of combined classifiers.

On the Existence of Simpler Machine Learning Models Empirical margin distributions and bounding the generalization error of combined classifiers

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T15:09:54.119196Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-14T15:09:52.959434Z digest=sha256:100a5c73d7c9ae744749307bc1d532b5568b9091717e7530e9b025810344a941

Observation c2103cee-8f20-4dc7-97d2-90bf92870d2d · outbound

This paper cites Rashomon.

On the Existence of Simpler Machine Learning Models Rashomon

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T15:09:54.103524Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-14T15:09:52.964276Z digest=sha256:d3c2084a8552b0ef819349baa48087a67ea6f8435e4e8775f460e9c17eb38739

Observation af423538-bfe9-46c4-8451-690129aee997 · outbound

This paper cites PAC - B ayes & margins.

On the Existence of Simpler Machine Learning Models PAC - B ayes & margins

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T15:09:54.087148Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-14T15:09:52.968570Z digest=sha256:4336592cf23245f47f02c5cde0d7915084180fcbb882c4eccc2241e222fdc5eb

Observation f2e48368-544a-4e34-8ae8-a7ebccf383fe · outbound

This paper cites Interplay between concentration, complexity and geometry in learning theory with applications to high dimensional data analysis.

On the Existence of Simpler Machine Learning Models Interplay between concentration, complexity and geometry in learning theory with applications to high dimensional data analysis

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T15:09:54.071819Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-14T15:09:52.972976Z digest=sha256:2b6da76053041c9e55d1d88f23600b1fd590f1c2e9a8ecd0e8491e4fcb97ff61

Observation b8a9c5fe-e183-458b-89e8-79318395ca98 · outbound

This paper cites McCormick, and David Madigan.

On the Existence of Simpler Machine Learning Models McCormick, and David Madigan

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T15:09:54.056458Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-14T15:09:52.977963Z digest=sha256:863f930b5b23faf7a2a8b613a31e6548bdffed384b87a2bb63c38f634ec2c344

Observation 90703468-01e2-4bd2-bde0-5b1a20bb1e07 · outbound

This paper cites Letham, Cynthia Rudin, and Edward Browne.

On the Existence of Simpler Machine Learning Models Letham, Cynthia Rudin, and Edward Browne

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T15:09:54.043734Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-14T15:09:52.983355Z digest=sha256:00b512144cd4693b383ec1c3616399dd3d706b671b688705b19b552de9eac22c

Observation 438957bd-107b-420d-a935-feacd93114ae · outbound

This paper cites Adaptive model selection using empirical complexities.

On the Existence of Simpler Machine Learning Models Adaptive model selection using empirical complexities

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T15:09:54.030498Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-14T15:09:52.988222Z digest=sha256:85b89f98a6da7af1ddc64a53c3a7567168c689de98577d4da9aa0e5b82b40d4e

Observation 69a2645f-02a0-4b6d-8b9b-7b4f993177a8 · outbound

This paper cites Complexity regularization via localized random penalties.

On the Existence of Simpler Machine Learning Models Complexity regularization via localized random penalties

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T15:09:54.013469Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-14T15:09:52.993230Z digest=sha256:d48750c96d4f2a016019af07a41aae5ac92abbc2955435710bc35aec915de9c7

Observation 09b0f58f-23e2-4ee3-8925-0057b8ef1d2e · outbound

This paper cites The theory of error-correcting codes, volume 16.

On the Existence of Simpler Machine Learning Models The theory of error-correcting codes, volume 16

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T15:09:53.745331Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-14T15:09:52.998044Z digest=sha256:e0a6772b8710b034236cd35bdc524179d9059981b638b13f1f22222c0d779cfe

Observation 1da2349d-2b26-4413-9284-e4626783a713 · outbound

This paper cites Stability selection.

On the Existence of Simpler Machine Learning Models Stability selection

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T15:09:53.721928Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-14T15:09:53.002945Z digest=sha256:1bd33a84ea497817cd4b3725a78e775ef6a0e408f51b09ff3e3b82767e098497

Observation cfa0d626-3752-4e5f-b542-d5bae91669be · outbound

This paper cites A few notes on statistical learning theory.

On the Existence of Simpler Machine Learning Models A few notes on statistical learning theory

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T15:09:53.706621Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-14T15:09:53.008906Z digest=sha256:6238dbc20661ab91925ebcbe172742f00c2094d5a1f1c931622f031ccaf102fe

Observation 0b945334-42b6-4bc4-b5d1-f33dca36c542 · outbound

This paper cites Identifying a minimal class of models for high-dimensional data.

On the Existence of Simpler Machine Learning Models Identifying a minimal class of models for high-dimensional data

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T15:09:53.692307Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-14T15:09:53.014584Z digest=sha256:73b454089098881cebed8b5b07ef9f6b96cdde1f08df8df9fad484d79901b40c

Observation 6a90f4a8-95d5-47c0-a21e-08e3dd349620 · outbound

This paper cites Approximation of monomials by lower degree polynomials.

On the Existence of Simpler Machine Learning Models Approximation of monomials by lower degree polynomials

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T15:09:53.678052Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-14T15:09:53.019206Z digest=sha256:adbf4676270ca20d72ce8cfa5c9839151725bcb70fda33d8b0f4f8aa095a999a

Observation 38308a9b-52d1-4020-a8d5-561f19b3fb9c · outbound

This paper cites On the degree of polynomials that approximate symmetric boolean functions (preliminary version).

On the Existence of Simpler Machine Learning Models On the degree of polynomials that approximate symmetric boolean functions (preliminary version)

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T15:09:53.664383Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-14T15:09:53.023574Z digest=sha256:c016d86f411c1989da878160f6d77d0851c40d4a00b35bcc001e72b785a5d540

Observation f26e0c3d-f247-4039-ac18-534ab2d399a2 · outbound

This paper cites Population-level prediction of type 2 diabetes from claims data and analysis of risk factors.

On the Existence of Simpler Machine Learning Models Population-level prediction of type 2 diabetes from claims data and analysis of risk factors

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T15:09:53.652192Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-14T15:09:53.027947Z digest=sha256:cb75fe05b6b2dc27ed6dd1c6d9bf913da59e5de8b4f224abec5d5aa43355167c

Observation 2fd4883a-80ff-4baf-ad58-0a228d1591f5 · outbound

This paper cites A finite sample distribution-free performance bound for local discrimination rules.

On the Existence of Simpler Machine Learning Models A finite sample distribution-free performance bound for local discrimination rules

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T15:09:53.637689Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-14T15:09:53.033578Z digest=sha256:edd8d68df19ab6cbeefc67eef2db33c581c1ede09b4e4b6691f7694b3b6cb99b

Observation 6b43b07e-bef5-4afa-8609-1383077fd4e8 · outbound

This paper cites The age of secrecy and unfairness in recidivism prediction.

On the Existence of Simpler Machine Learning Models The age of secrecy and unfairness in recidivism prediction

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T15:09:53.623297Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-14T15:09:53.038298Z digest=sha256:2ce061183d12d09462a42eac96484d97f72aa148f7a220b1118ec69a5a6690f5

Observation ec3bd16c-9eb8-4bb3-8971-e9649dc5d757 · outbound

This paper cites Boosting the margin: A new explanation for the effectiveness of voting methods.

On the Existence of Simpler Machine Learning Models Boosting the margin: A new explanation for the effectiveness of voting methods

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T15:09:53.610062Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-14T15:09:53.043830Z digest=sha256:a8210313d707e89083c1e6ac9647bbf191446de8740d440f9d5befd3747055d8

Observation 291d3f2d-777f-4d60-b645-1fc58635c53e · outbound

This paper cites Structural risk minimization over data-dependent hierarchies.

On the Existence of Simpler Machine Learning Models Structural risk minimization over data-dependent hierarchies

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T15:09:53.595609Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-14T15:09:53.049561Z digest=sha256:07f70ce483e95acfcc9a041c5c14427ff1a2c3e5e7e0aa50ddfec5b2cb7eb903

Observation 8182fee9-fbff-4b6b-90c2-fab25b952a14 · outbound

This paper cites Smoothness, low noise and fast rates.

On the Existence of Simpler Machine Learning Models Smoothness, low noise and fast rates

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T15:09:53.581829Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-14T15:09:53.055748Z digest=sha256:f589d6a884ce9fcd8560b611e5fc541d98a4d077faa4c6e05d2f12c9f48e386f

Observation c99d7e58-df71-46cf-87b1-ecef7914a835 · outbound

This paper cites van der Heijden.

On the Existence of Simpler Machine Learning Models van der Heijden

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T15:09:53.569536Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-14T15:09:53.062538Z digest=sha256:ce182221f1186f91886280b094874c3100df7d7b4d4b7bc4289fdc1ec4b6eda1

Observation b14d02ef-6077-49da-8814-6c78c82f1839 · outbound

This paper cites Machine learning with operational costs.

On the Existence of Simpler Machine Learning Models Machine learning with operational costs

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T15:09:53.554922Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-14T15:09:53.067765Z digest=sha256:95c09561e44e60708d4d35f0c88b95aa742ffbf041d480b345189395b3b16a56

Observation a848c111-fe10-446d-a855-2717ce0ec2c4 · outbound

This paper cites On combining machine learning with decision making.

On the Existence of Simpler Machine Learning Models On combining machine learning with decision making

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T15:09:53.542866Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-14T15:09:53.072730Z digest=sha256:16e66c816ee020119487851f8fcc994b5826ee8aa5dea3bd631b4f05b4a0a7b8

Observation f1ce1064-ea73-4018-b3c7-0039d7973340 · outbound

This paper cites Robust Optimization using Machine Learning for Uncertainty Sets.

On the Existence of Simpler Machine Learning Models Robust Optimization using Machine Learning for Uncertainty Sets

Reference 49

Resolution
unresolved
no resolver link, observed 2026-08-14T15:09:53.078825Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T15:09:53.078825Z digest=sha256:09bbed8050dd4910e86997698bf98348027de34b8952c7629dad72777c9ee0a1

Observation 5c7ca445-e627-4fd7-bd48-a084710d1ffd · outbound

This paper cites Supersparse Linear Integer Models for Optimized Medical Scoring Systems.

On the Existence of Simpler Machine Learning Models Supersparse Linear Integer Models for Optimized Medical Scoring Systems

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T15:09:53.530392Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-14T15:09:53.085658Z digest=sha256:a14a3612ded9439783fe5b7ddf7997fbb727f8d442141815827330644dabf0b7

Observation d67cd3fb-1a44-4581-ba4f-77e138e92149 · outbound

This paper cites The Nature of Statistical Learning Theory.

On the Existence of Simpler Machine Learning Models The Nature of Statistical Learning Theory

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T15:09:53.515731Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-14T15:09:53.293176Z digest=sha256:420284a4ec734500faf5e7284db0a9b3fa94b3f5614c43b15b6d6cb7beec46b6

Observation 26e0dd76-f139-4f9d-82ee-98d4a3847bea · outbound

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

On the Existence of Simpler Machine Learning Models On the uniform convergence of relative frequencies of events to their probabilities

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T15:09:53.499333Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-14T15:09:53.303175Z digest=sha256:3c792fdfa30c7bc2952bf813ce2154cb05adb4fcbac418c813a19935533e1c22

Observation a22abf1c-245d-4494-a55d-786a51fce0c9 · outbound

This paper cites An information measure for classification.

On the Existence of Simpler Machine Learning Models An information measure for classification

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T15:09:53.485561Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-14T15:09:53.309009Z digest=sha256:727ef0540642d72cc5836ede1c7df42e2f048821f9fe24627b10a18dc37000b1

Observation 6cd38568-7064-480a-9db9-55f130768a72 · outbound

This paper cites Interpretable classification models for recidivism prediction.

On the Existence of Simpler Machine Learning Models Interpretable classification models for recidivism prediction

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T15:09:53.471570Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-14T15:09:53.312818Z digest=sha256:8af2ae6141258c714f73186b407eadc0d5ae826edb3015b0efbd0e5bd8e0dcc8

Observation 2eddbe67-2211-4aed-a343-fe7dadce8717 · outbound

This paper cites The covering number in learning theory.

On the Existence of Simpler Machine Learning Models The covering number in learning theory

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T15:09:53.457506Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-14T15:09:53.316821Z digest=sha256:8d97cbcf90c55e82b6251df171c0fdc44ca6f889cac4eb711621e5ec37a172d2

Observation de50837b-41c9-42e1-9efc-078645a7690d · outbound

This paper cites 1-norm support vector machines.

On the Existence of Simpler Machine Learning Models 1-norm support vector machines

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T15:09:53.440800Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-14T15:09:53.320948Z digest=sha256:72c4678051f28b7415c6622501d724aa5fd0a4ecda65b7e8800621f06c2ccfce

Pith citing papers

Observation 2483ffd5-1283-42b4-8b96-75fa283430fd · inbound

Rashomon Sets and Model Multiplicity in Federated Learning cites this paper.

Rashomon Sets and Model Multiplicity in Federated Learning On the Existence of Simpler Machine Learning Models

Reference 48

Resolution
metadata mismatch
arxiv_id, observed 2026-05-16T03:22:12.838296Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-05-16T03:21:50.223386Z digest=sha256:ef45bcfa00901aac8530ddeffc43af3fc8e33561be6ad41dfdaec612e78d106f

Observation a0c5ed33-4fd7-4145-a4d3-12cfdb23909c · inbound

SafeAdapt: Provably Safe Policy Updates in Deep Reinforcement Learning cites this paper.

SafeAdapt: Provably Safe Policy Updates in Deep Reinforcement Learning On the Existence of Simpler Machine Learning Models

Reference 35

Resolution
verified exact
arxiv_id, observed 2026-05-11T06:00:58.767976Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-05-10T17:50:56.101903Z digest=sha256:fb086f5fe57b7962d4c0c2bdf2373f4cb6bd80f9ce3256440cedc28b863ab161

Observation b4b01a5e-5dd3-4049-9ce2-2f3b4c227726 · inbound

Trustworthy AI: Ensuring Reliability and Accountability from Models to Agents cites this paper.

Trustworthy AI: Ensuring Reliability and Accountability from Models to Agents On the Existence of Simpler Machine Learning Models

Reference 144

Resolution
verified exact
arxiv_id, observed 2026-05-12T02:21:16.318379Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-05-12T02:21:12.882825Z digest=sha256:ba6fd2e1412b5aac5a391cab946f87f3d9f874b9202cf639448b34ce92dd3220

Observation 848982a6-66da-412f-846d-1d5d2b69b5c8 · inbound

Position: Prioritize Identifying Structure, Not Complex Models, for Scientific Discovery cites this paper.

Position: Prioritize Identifying Structure, Not Complex Models, for Scientific Discovery On the Existence of Simpler Machine Learning Models

Reference 81

Resolution
verified exact
arxiv_id, observed 2026-06-28T18:02:27.008740Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-06-28T17:57:38.997532Z digest=sha256:94ccf563171bfb90d27ac1573ecb4042e9003059f5e7d8229094d9c768a8f607