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Paper Citation Record · LEDGER

New Statistical and Computational Results for Learning Junta Distributions

As of 19 August 2026, this Paper Citation Record lists 38 of 38 outbound references and 0 inbound Pith citation observations for arXiv:2505.05819.

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

pith.paper-citation-record.v1
2505.05819 v3

Coverage vector

measured 38 of 38 reference resolution

Typed states for the displayed outbound observations.

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measured 38 of 38 standing notices

One-hop event checks from named stored sources.

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measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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measured 0 of 1 external citation measurements

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Reference resolution

38 of 38 outbound references displayed

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External citation measurements

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Outbound references

Observation 1aedb45d-a384-46f1-bc5a-07dc80cc2f06 · outbound

This paper cites Learning and testing junta distri- butions.

New Statistical and Computational Results for Learning Junta Distributions Learning and testing junta distri- butions

Reference 1

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Observation 5b37e2c2-d00d-4199-980c-a2fb38eb2f88 · outbound

This paper cites An Illuminating Algorithm for the Light Bulb Problem.

New Statistical and Computational Results for Learning Junta Distributions An Illuminating Algorithm for the Light Bulb Problem

Reference 2

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Observation e685a5e5-ad96-4033-92ca-31ac6f671f80 · outbound

This paper cites Learning juntas in the presence of noise.

New Statistical and Computational Results for Learning Junta Distributions Learning juntas in the presence of noise

Reference 3

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Observation 11b99c86-f731-4156-bcb2-08ffcde519ce · outbound

This paper cites Parameterized learnability of juntas.

New Statistical and Computational Results for Learning Junta Distributions Parameterized learnability of juntas

Reference 4

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Observation 3023c5df-6a92-473a-8dab-21fab4fe2aed · outbound

This paper cites On Testing and Learning Quantum Junta Channels.

New Statistical and Computational Results for Learning Junta Distributions On Testing and Learning Quantum Junta Channels

Reference 5

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Observation 805c51c4-a891-4afc-9bac-ff3cf567be7f · outbound

This paper cites Hidden progress in deep learning: Sgd learns parities near the computa- tional limit.

New Statistical and Computational Results for Learning Junta Distributions Hidden progress in deep learning: Sgd learns parities near the computa- tional limit

Reference 6

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Observation 2c39d0c5-0546-4069-a174-4bf008dd0bb7 · outbound

This paper cites Improved bounds for testing juntas.

New Statistical and Computational Results for Learning Junta Distributions Improved bounds for testing juntas

Reference 7

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Observation 721cca8d-4626-4c37-802a-05919080862b · outbound

This paper cites Open problems-learning a function of r relevant variables.

New Statistical and Computational Results for Learning Junta Distributions Open problems-learning a function of r relevant variables

Reference 8

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Observation 8fa87fbe-045b-4e48-8df7-32a1822e701f · outbound

This paper cites Relevant examples and relevant features: Thoughts from computational learn- ing theory.

New Statistical and Computational Results for Learning Junta Distributions Relevant examples and relevant features: Thoughts from computational learn- ing theory

Reference 9

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Observation 50ede179-bab4-4748-8b51-ccfab661e0d3 · outbound

This paper cites Noise-tolerant learning, the parity problem, and the statistical query model.

New Statistical and Computational Results for Learning Junta Distributions Noise-tolerant learning, the parity problem, and the statistical query model

Reference 10

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Observation ac1ea8d1-6f79-4625-b251-5d5a1ec01535 · outbound

This paper cites Selection of relevant features and examples in machine learning.

New Statistical and Computational Results for Learning Junta Distributions Selection of relevant features and examples in machine learning

Reference 11

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Observation 5c146c3f-4bab-4a71-966b-0257133260b0 · outbound

This paper cites Exact learning of juntas from membership queries.

New Statistical and Computational Results for Learning Junta Distributions Exact learning of juntas from membership queries

Reference 12

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Observation 94e296d4-ceda-4981-9b29-4e44ba5053d7 · outbound

This paper cites A survey on feature selection methods.

New Statistical and Computational Results for Learning Junta Distributions A survey on feature selection methods

Reference 13

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Observation 0e13fce2-3df5-48f2-aeaf-b9c34f6b37af · outbound

This paper cites Testing and learning quantum juntas nearly optimally.

New Statistical and Computational Results for Learning Junta Distributions Testing and learning quantum juntas nearly optimally

Reference 14

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Observation dbc1d606-ce26-4c3c-abae-57b25043ed29 · outbound

This paper cites Learning and testing junta distributions with sub cube conditioning.

New Statistical and Computational Results for Learning Junta Distributions Learning and testing junta distributions with sub cube conditioning

Reference 15

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Observation 172d2058-e27b-4cfd-a804-99111e36402b · outbound

This paper cites Detecting Low-Degree Truncation.

New Statistical and Computational Results for Learning Junta Distributions Detecting Low-Degree Truncation

Reference 16

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Observation f6a686f6-8c5d-4d27-8d54-8e4e150b3d44 · outbound

This paper cites Learning Structured Distributions.

New Statistical and Computational Results for Learning Junta Distributions Learning Structured Distributions

Reference 17

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Observation a3e13ac5-7596-479e-b088-5e8f26b17e48 · outbound

This paper cites Sample-optimal identity testing with high probability.

New Statistical and Computational Results for Learning Junta Distributions Sample-optimal identity testing with high probability

Reference 18

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Observation b4c0187c-8afd-4902-8df3-b1e28136e090 · outbound

This paper cites Learning junta distributions, quantum junta states, and QAC$^0$ circuits.

New Statistical and Computational Results for Learning Junta Distributions Learning junta distributions, quantum junta states, and QAC$^0$ circuits

Reference 19

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This paper cites Representation, approximation and learning of submodular functions using low-rank decision trees.

New Statistical and Computational Results for Learning Junta Distributions Representation, approximation and learning of submodular functions using low-rank decision trees

Reference 20

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Observation e1cfeaef-190c-41c9-969d-1971ae73426d · outbound

This paper cites New results for learning noisy parities and halfspaces.

New Statistical and Computational Results for Learning Junta Distributions New results for learning noisy parities and halfspaces

Reference 21

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This paper cites On agnostic learning of parities, monomials, and halfspaces.

New Statistical and Computational Results for Learning Junta Distributions On agnostic learning of parities, monomials, and halfspaces

Reference 22

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This paper cites Time/accuracy tradeoffs for learning a relu with respect to gaussian marginals.

New Statistical and Computational Results for Learning Junta Distributions Time/accuracy tradeoffs for learning a relu with respect to gaussian marginals

Reference 23

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This paper cites Testing Junta Truncation.

New Statistical and Computational Results for Learning Junta Distributions Testing Junta Truncation

Reference 24

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New Statistical and Computational Results for Learning Junta Distributions Agnostically learning halfspaces

Reference 25

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This paper cites Efficient noise-tolerant learning from statistical queries.

New Statistical and Computational Results for Learning Junta Distributions Efficient noise-tolerant learning from statistical queries

Reference 26

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New Statistical and Computational Results for Learning Junta Distributions On the learnability of discrete distributions

Reference 27

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New Statistical and Computational Results for Learning Junta Distributions Efficient authentication from hard learning problems

Reference 28

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New Statistical and Computational Results for Learning Junta Distributions Embedding hard learning problems into gaussian space

Reference 29

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New Statistical and Computational Results for Learning Junta Distributions Superpolynomial lower bounds for decision tree learning and testing

Reference 30

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New Statistical and Computational Results for Learning Junta Distributions Constant depth circuits, Fourier trans- form, and learnability

Reference 31

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New Statistical and Computational Results for Learning Junta Distributions Learning functions of k relevant variables

Reference 32

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New Statistical and Computational Results for Learning Junta Distributions On lattices, learning with errors, random linear codes, and cryptography

Reference 33

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New Statistical and Computational Results for Learning Junta Distributions Near log-convexity of measured heat in (discrete) time and consequences

Reference 34

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Observation 6562ffc1-3173-4d97-a25d-55079e12d91e · outbound

This paper cites Adaptivity helps for testing juntas.

New Statistical and Computational Results for Learning Junta Distributions Adaptivity helps for testing juntas

Reference 35

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Observation 7eaf6443-ef8d-469a-ba70-3da3d9368f92 · outbound

This paper cites Finding correlations in subquadratic time, with applications to learning parities and the closest pair problem.

New Statistical and Computational Results for Learning Junta Distributions Finding correlations in subquadratic time, with applications to learning parities and the closest pair problem

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T23:15:41.996569Z

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.

source=pdf_text observed=2026-08-15T23:15:41.832722Z digest=sha256:2ffc84fb117f6b73b55505776bec3557234dbf6c80838ea3131dadfaef42dc54

Observation 2cbe212e-cd55-4ce6-823b-cb9d46584e14 · outbound

This paper cites Estimating the unseen: improved estimators for entropy and other properties.

New Statistical and Computational Results for Learning Junta Distributions Estimating the unseen: improved estimators for entropy and other properties

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T23:15:41.974339Z

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.

source=pdf_text observed=2026-08-15T23:15:41.838187Z digest=sha256:0e78ce0a9696b659c9980b8d43a1c1b70115fadf5b5072ec223d7e64e6d1ab71

Observation 953415d7-08b4-41ac-a842-040d8b7232ed · outbound

This paper cites McDiarmid’s inequalities of Bernstein and Bennett forms.

New Statistical and Computational Results for Learning Junta Distributions McDiarmid’s inequalities of Bernstein and Bennett forms

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T23:15:41.954748Z

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.

source=pdf_text observed=2026-08-15T23:15:41.842779Z digest=sha256:9b0226c3a45276dbfe87d21c4dfeac338e73623341f7d1f38f3d355190c70db0

Pith citing papers

No inbound Pith citation observations are available.