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Paper Citation Record · LEDGER

Distributed Nonparametric Estimation: from Sparse to Dense Samples per Terminal

As of 13 August 2026, this Paper Citation Record lists 26 of 26 outbound references and 0 inbound Pith citation observations for arXiv:2501.07879.

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

pith.paper-citation-record.v1
2501.07879 v1

Coverage vector

measured 26 of 26 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T20:45:23.667555Z

measured 26 of 26 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

26 of 26 outbound references displayed

  • verified exact1
  • verified fuzzy22
  • unresolved3
  • parse uncertain0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 6fac4873-c100-4d4b-9d15-0339ff4c05d8 · outbound

This paper cites Communication-efficient learning of deep networks fr om decentralized data,.

Distributed Nonparametric Estimation: from Sparse to Dense Samples per Terminal Communication-efficient learning of deep networks fr om decentralized data,

Reference 1

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verified fuzzy
raw_fallback, observed 2026-08-10T20:45:24.136258Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation e978d60e-0074-4a50-afb7-a7f3bf0f4df4 · outbound

This paper cites Federated l earning: Challenges, methods, and future directions,.

Distributed Nonparametric Estimation: from Sparse to Dense Samples per Terminal Federated l earning: Challenges, methods, and future directions,

Reference 2

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raw_fallback, observed 2026-08-10T20:45:24.122607Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation fe07494c-d4de-4fb2-97f6-153e747f4906 · outbound

This paper cites Advances and open problems in federa ted learning,.

Distributed Nonparametric Estimation: from Sparse to Dense Samples per Terminal Advances and open problems in federa ted learning,

Reference 3

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raw_fallback, observed 2026-08-10T20:45:24.108553Z

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No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation 9e6e7ff0-2015-4294-b8ad-b033fb605d1b · outbound

This paper cites Distributed Nonparametric Estimation under Communication Constraints.

Distributed Nonparametric Estimation: from Sparse to Dense Samples per Terminal Distributed Nonparametric Estimation under Communication Constraints

Reference 4

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unresolved
no resolver link, observed 2026-08-10T20:45:23.566199Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 38a6d8c5-947c-492b-a436-0f8e18f7ab97 · outbound

This paper cites Adaptive distributed method s under communication constraints,.

Distributed Nonparametric Estimation: from Sparse to Dense Samples per Terminal Adaptive distributed method s under communication constraints,

Reference 5

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raw_fallback, observed 2026-08-10T20:45:24.093189Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation c467fe1c-fbfa-441a-8038-3489533f9f46 · outbound

This paper cites Lower bounds for learn ing distributions under communication constraints via fish er information,.

Distributed Nonparametric Estimation: from Sparse to Dense Samples per Terminal Lower bounds for learn ing distributions under communication constraints via fish er information,

Reference 6

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raw_fallback, observed 2026-08-10T20:45:24.078145Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation 960e59de-b1c5-4045-806a-5cdfb6bdc06a · outbound

This paper cites Opti mal rates for nonparametric density estimation under commu nication constraints,.

Distributed Nonparametric Estimation: from Sparse to Dense Samples per Terminal Opti mal rates for nonparametric density estimation under commu nication constraints,

Reference 7

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raw_fallback, observed 2026-08-10T20:45:24.060960Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation e3609e9d-0f0c-473f-a49b-c8460db2bb47 · outbound

This paper cites Adaptive Refinement Protocols for Distributed Distribution Estimation under $\ell^p$-Losses.

Distributed Nonparametric Estimation: from Sparse to Dense Samples per Terminal Adaptive Refinement Protocols for Distributed Distribution Estimation under $\ell^p$-Losses

Reference 8

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verified exact
local_arxiv, observed 2026-08-10T20:45:23.734849Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation 00f6a534-55ee-44bc-8456-d5c3bf8d513f · outbound

This paper cites In teractive inference under information constraints,.

Distributed Nonparametric Estimation: from Sparse to Dense Samples per Terminal In teractive inference under information constraints,

Reference 9

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raw_fallback, observed 2026-08-10T20:45:24.046502Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation 19158fb7-6712-4025-896b-e499688dafac · outbound

This paper cites Unified l ower bounds for interactive high-dimensional estimation u nder information constraints,.

Distributed Nonparametric Estimation: from Sparse to Dense Samples per Terminal Unified l ower bounds for interactive high-dimensional estimation u nder information constraints,

Reference 10

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raw_fallback, observed 2026-08-10T20:45:24.031402Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation 9716c780-6640-459b-90e3-5da99d0e254d · outbound

This paper cites Distributed nonparametric reg ression under communication constraints,.

Distributed Nonparametric Estimation: from Sparse to Dense Samples per Terminal Distributed nonparametric reg ression under communication constraints,

Reference 11

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation 7eb72a8e-8e56-4414-af8b-66b2445d23e1 · outbound

This paper cites Distributed function estim ation: Adaptation using minimal communication,.

Distributed Nonparametric Estimation: from Sparse to Dense Samples per Terminal Distributed function estim ation: Adaptation using minimal communication,

Reference 12

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation d19316c0-c595-41c2-8d16-32a8cab62db1 · outbound

This paper cites Distributed nonparametric functi on estimation: Optimal rate of convergence and cost of adapt ation,.

Distributed Nonparametric Estimation: from Sparse to Dense Samples per Terminal Distributed nonparametric functi on estimation: Optimal rate of convergence and cost of adapt ation,

Reference 13

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation e002a442-910d-4689-a225-ee3d701c72a6 · outbound

This paper cites Local d ifferential privacy: Elbow effect in optimal density estim ation and adaptation over Besov ellipsoids,.

Distributed Nonparametric Estimation: from Sparse to Dense Samples per Terminal Local d ifferential privacy: Elbow effect in optimal density estim ation and adaptation over Besov ellipsoids,

Reference 14

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raw_fallback, observed 2026-08-10T20:45:23.949124Z

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No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation dcc58572-2e3b-42ff-bd4f-53bdd461470a · outbound

This paper cites On density estimation at a fixed point under lo cal differential privacy,.

Distributed Nonparametric Estimation: from Sparse to Dense Samples per Terminal On density estimation at a fixed point under lo cal differential privacy,

Reference 15

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raw_fallback, observed 2026-08-10T20:45:23.934412Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation 40044d14-15bc-42f2-8703-6ca3cf8d2057 · outbound

This paper cites Density estimation under local differential privacy and Hellinger loss,.

Distributed Nonparametric Estimation: from Sparse to Dense Samples per Terminal Density estimation under local differential privacy and Hellinger loss,

Reference 16

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raw_fallback, observed 2026-08-10T20:45:23.917708Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation df757f1d-8d08-4b8b-acde-65a204f9cd60 · outbound

This paper cites About the co st of central privacy in density estimation,.

Distributed Nonparametric Estimation: from Sparse to Dense Samples per Terminal About the co st of central privacy in density estimation,

Reference 17

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raw_fallback, observed 2026-08-10T20:45:23.900155Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation 56b16d26-a167-42fc-9d16-ea4e0a79ecf2 · outbound

This paper cites Optimal Federated Learning for Nonparametric Regression with Heterogeneous Distributed Differential Privacy Constraints.

Distributed Nonparametric Estimation: from Sparse to Dense Samples per Terminal Optimal Federated Learning for Nonparametric Regression with Heterogeneous Distributed Differential Privacy Constraints

Reference 18

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 163105b9-84fd-47fa-8ada-324c7ed6bbca · outbound

This paper cites Communication complexity of two-party nonpar ametric global density estimation,.

Distributed Nonparametric Estimation: from Sparse to Dense Samples per Terminal Communication complexity of two-party nonpar ametric global density estimation,

Reference 19

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raw_fallback, observed 2026-08-10T20:45:23.883991Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation ff76f0d2-0965-4955-8603-b4c59f7ad274 · outbound

This paper cites A few interactions improve distributed nonparame tric estimation, optimally,.

Distributed Nonparametric Estimation: from Sparse to Dense Samples per Terminal A few interactions improve distributed nonparame tric estimation, optimally,

Reference 20

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raw_fallback, observed 2026-08-10T20:45:23.868282Z

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No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation ece08040-f58e-4371-a921-67350b62bb73 · outbound

This paper cites Giné and R.

Distributed Nonparametric Estimation: from Sparse to Dense Samples per Terminal Giné and R

Reference 21

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No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation 5bb60fe2-55fb-412b-8aa7-3d4bbba4bc80 · outbound

This paper cites an unresolved cited work.

Distributed Nonparametric Estimation: from Sparse to Dense Samples per Terminal Unresolved cited work

Reference 22

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation 0bf05176-1fb2-4a1d-b7a4-9b1ac5785f3c · outbound

This paper cites Dis tributed estimation with multiple samples per user: Sharp r ates and phase transition,.

Distributed Nonparametric Estimation: from Sparse to Dense Samples per Terminal Dis tributed estimation with multiple samples per user: Sharp r ates and phase transition,

Reference 23

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raw_fallback, observed 2026-08-10T20:45:23.823479Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation 899e3220-52f9-4dd0-8def-2ecb466787b6 · outbound

This paper cites Daubechies, Ten Lectures on W avelets.

Distributed Nonparametric Estimation: from Sparse to Dense Samples per Terminal Daubechies, Ten Lectures on W avelets

Reference 24

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raw_fallback, observed 2026-08-10T20:45:23.804093Z

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No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation 28babcb4-04cf-4c13-8775-92f5ff66424b · outbound

This paper cites Sobolev, Besov and Nikolskii fractional spa ces: Imbeddings and comparisons for vector valued spaces on an interval,.

Distributed Nonparametric Estimation: from Sparse to Dense Samples per Terminal Sobolev, Besov and Nikolskii fractional spa ces: Imbeddings and comparisons for vector valued spaces on an interval,

Reference 25

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verified fuzzy
raw_fallback, observed 2026-08-10T20:45:23.785603Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-10T20:45:23.663302Z digest=sha256:e3ae6393d17580e8fc16fefc4f471b5ab196ade9acdd68b4b0f4c4edd56c87d1

Observation d1d40913-c294-4e73-a066-1f3daffd52e5 · outbound

This paper cites Inference unde r information constraints II: Communication constraints a nd shared randomness,.

Distributed Nonparametric Estimation: from Sparse to Dense Samples per Terminal Inference unde r information constraints II: Communication constraints a nd shared randomness,

Reference 26

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verified fuzzy
raw_fallback, observed 2026-08-10T20:45:23.766814Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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