Paper Citation Record · LEDGER

Dimension-independent rates for structured neural density estimation

As of 17 August 2026, this Paper Citation Record lists 50 of 50 outbound references and 0 inbound Pith citation observations for arXiv:2411.15095.

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

pith.paper-citation-record.v1
2411.15095 v1

Coverage vector

measured 50 of 50 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T14:42:20.139758Z

measured 50 of 50 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+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

50 of 50 outbound references displayed

verified exact5
verified fuzzy23
unresolved21
parse uncertain0
malformed identifier0
metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 9b1d7282-d570-4523-87b6-365aa83277fe · outbound

This paper cites Nearly tight sample complexity bounds for learning mixtures of gaussians via sample compression schemes.

Dimension-independent rates for structured neural density estimation Nearly tight sample complexity bounds for learning mixtures of gaussians via sample compression schemes

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:42:21.289149Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation ec84ee53-5da4-4881-b33d-34f188a0dcd4 · outbound

This paper cites Universal approximation bounds for superpositions of a sigmoidal function.

Dimension-independent rates for structured neural density estimation Universal approximation bounds for superpositions of a sigmoidal function

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-12T14:42:19.904050Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8fb330ce-138e-48a4-88ce-bf83b7fdb474 · outbound

This paper cites Representation learning: A review and new perspectives.

Dimension-independent rates for structured neural density estimation Representation learning: A review and new perspectives

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-12T14:42:19.908847Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 04746206-12e6-4b78-8509-ffaee16e1988 · outbound

This paper cites Estimating a density near an unknown manifold: a Bayesian nonparametric approach.

Dimension-independent rates for structured neural density estimation Estimating a density near an unknown manifold: a Bayesian nonparametric approach

Reference 4

Resolution: verified exact; local_arxiv, observed 2026-08-12T14:42:20.843294Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 1f46e7d9-7ee4-4891-a91c-fbf8d8249f42 · outbound

This paper cites Why deep learning works: A manifold disentanglement perspective.

Dimension-independent rates for structured neural density estimation Why deep learning works: A manifold disentanglement perspective

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-12T14:42:19.918980Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 20e78ad1-8e61-4a59-b4f1-94eea82cf972 · outbound

This paper cites an unresolved cited work.

Dimension-independent rates for structured neural density estimation Unresolved cited work

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-12T14:42:19.923462Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c7925e8e-c949-4aed-9fac-f90b86a05ae0 · outbound

This paper cites On the Local Behavior of Spaces of Natural Images.

Dimension-independent rates for structured neural density estimation On the Local Behavior of Spaces of Natural Images

Reference 7

Resolution: verified exact; doi, observed 2026-08-12T14:42:20.221313Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 4fcfe376-2670-4cae-9f2a-a18b85235644 · outbound

This paper cites Stochastic processes, 2007.

Dimension-independent rates for structured neural density estimation Stochastic processes, 2007

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:42:21.264628Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 0195e75c-d85c-4d4a-9be6-b7ef8c3b7226 · outbound

This paper cites Structured neural networks for density estimation and causal inference.

Dimension-independent rates for structured neural density estimation Structured neural networks for density estimation and causal inference

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:42:21.249637Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation c8cf9d1f-a952-4800-bd5f-f612ab9646c1 · outbound

This paper cites Score-based generative models break the curse of dimensionality in learning a family of sub-Gaussian probability distributions.

Dimension-independent rates for structured neural density estimation Score-based generative models break the curse of dimensionality in learning a family of sub-Gaussian probability distributions

Reference 10

Resolution: verified exact; local_arxiv, observed 2026-08-12T14:42:20.690196Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation c2d7d184-7ee6-4838-83f1-e39370fc43b3 · outbound

This paper cites Devroye and L.

Dimension-independent rates for structured neural density estimation Devroye and L

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-12T14:42:19.947449Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 073edc04-c5c9-4048-9003-58ce7e093f13 · outbound

This paper cites Devroye and G.

Dimension-independent rates for structured neural density estimation Devroye and G

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-12T14:42:19.952031Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1e6fae17-295b-4fed-9fa5-4ab38b29dc68 · outbound

This paper cites an unresolved cited work.

Dimension-independent rates for structured neural density estimation Unresolved cited work

Reference 13

Resolution: unresolved; raw_fallback, observed 2026-08-12T14:42:21.215356Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 5a4d3f16-28f5-4782-a9f3-e73ef3fbe90f · outbound

This paper cites Made: Masked autoencoder for distribution estimation.

Dimension-independent rates for structured neural density estimation Made: Masked autoencoder for distribution estimation

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:42:21.200569Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 7429b174-b5dc-4105-91f8-ddfbaf92d5a6 · outbound

This paper cites Tree density estimation.

Dimension-independent rates for structured neural density estimation Tree density estimation

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:42:21.185378Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 29249de0-6873-4064-92c4-3176b4ff48a6 · outbound

This paper cites Markov fields on finite graphs and lattices.

Dimension-independent rates for structured neural density estimation Markov fields on finite graphs and lattices

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:42:21.171300Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 312d3e7c-48d1-4271-94f7-6cc4ea04e0e5 · outbound

This paper cites Denoising diffusion probabilistic models.

Dimension-independent rates for structured neural density estimation Denoising diffusion probabilistic models

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-12T14:42:19.973703Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7ede7adf-797e-44cb-b7a6-c76066aee66c · outbound

This paper cites Uniform convergence rates for kernel density estimation.

Dimension-independent rates for structured neural density estimation Uniform convergence rates for kernel density estimation

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:42:21.147081Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation fd7bc160-fa9b-475a-a30f-15f84598e40f · outbound

This paper cites Deep nonparametric regression on approximate manifolds: Nonasymptotic error bounds with polynomial prefactors.

Dimension-independent rates for structured neural density estimation Deep nonparametric regression on approximate manifolds: Nonasymptotic error bounds with polynomial prefactors

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:42:21.132456Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation c29c6d3f-e486-4c6a-a83c-3d64dc8ac791 · outbound

This paper cites Composing graphical models with neural networks for structured representations and fast inference.

Dimension-independent rates for structured neural density estimation Composing graphical models with neural networks for structured representations and fast inference

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:42:21.117996Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 4f4f2708-6857-42a3-b7ae-c701a27573d2 · outbound

This paper cites an unresolved cited work.

Dimension-independent rates for structured neural density estimation Unresolved cited work

Reference 21

Resolution: verified exact; doi, observed 2026-08-12T14:42:20.205470Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation fc939e1d-6cac-4660-a8eb-57e94e396eaf · outbound

This paper cites Causal autoregressive flows.

Dimension-independent rates for structured neural density estimation Causal autoregressive flows

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:42:21.103482Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation c65e2863-f0d2-4fa1-96e1-2ee992e6806f · outbound

This paper cites Klusowski and Andrew R.

Dimension-independent rates for structured neural density estimation Klusowski and Andrew R

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-12T14:42:20.006793Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fbc2e753-791b-46d2-ac43-93d4cb0b66e3 · outbound

This paper cites Minimax optimal density estimation using a shallow generative model with a one-dimensional latent variable.

Dimension-independent rates for structured neural density estimation Minimax optimal density estimation using a shallow generative model with a one-dimensional latent variable

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:42:21.089415Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation f4d32231-0192-43d9-b7d9-17d006c3e8ce · outbound

This paper cites an unresolved cited work.

Dimension-independent rates for structured neural density estimation Unresolved cited work

Reference 25

Resolution: unresolved; raw_fallback, observed 2026-08-12T14:42:21.074373Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 8966f44c-7fd9-4437-8310-5d951b0909c2 · outbound

This paper cites How Well Can Generative Adversarial Networks Learn Densities: A Nonparametric View.

Dimension-independent rates for structured neural density estimation How Well Can Generative Adversarial Networks Learn Densities: A Nonparametric View

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-12T14:42:20.021877Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2191c7ac-ca2b-4f51-952a-2ed4f28d269e · outbound

This paper cites Microsoft COCO: Common Objects in Context.

Dimension-independent rates for structured neural density estimation Microsoft COCO: Common Objects in Context

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-12T14:42:20.027145Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 235232ed-13c8-42ef-aaff-3a0096493eab · outbound

This paper cites Forest density estimation.

Dimension-independent rates for structured neural density estimation Forest density estimation

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:42:21.060191Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 33590120-d8ad-4da7-927a-5e0bcd81d638 · outbound

This paper cites The barron space and the flow-induced function spaces for neural network models.

Dimension-independent rates for structured neural density estimation The barron space and the flow-induced function spaces for neural network models

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:42:21.044621Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 01d29afd-1524-4c68-966e-d4b7f0855ad3 · outbound

This paper cites Neural networks for density estimation.

Dimension-independent rates for structured neural density estimation Neural networks for density estimation

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:42:21.027900Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 91830cd9-b17c-4af2-92e8-700fffe95d16 · outbound

This paper cites Adaptive approximation and generalization of deep neural network with intrinsic dimensionality.

Dimension-independent rates for structured neural density estimation Adaptive approximation and generalization of deep neural network with intrinsic dimensionality

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:42:21.013183Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation c4148d2c-d928-4151-9e5a-a8e675201bd1 · outbound

This paper cites Diffusion models are minimax optimal distribution estimators.

Dimension-independent rates for structured neural density estimation Diffusion models are minimax optimal distribution estimators

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:42:20.998222Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 6c481f85-dad9-423c-9448-be4a08981662 · outbound

This paper cites Deep generative models: Survey.

Dimension-independent rates for structured neural density estimation Deep generative models: Survey

Reference 33

Resolution: metadata mismatch; raw_fallback, observed 2026-08-12T14:42:20.575700Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation af4e47e1-bb72-48ed-9a27-51eaaae1db76 · outbound

This paper cites Submanifold density estimation.

Dimension-independent rates for structured neural density estimation Submanifold density estimation

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:42:20.983731Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 77aaa3dc-da82-427d-9ecf-e47bee2ed9f9 · outbound

This paper cites Kernel density estimation on riemannian manifolds.

Dimension-independent rates for structured neural density estimation Kernel density estimation on riemannian manifolds

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:42:20.969760Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 15ba245c-369e-491a-a874-4b9cb2804863 · outbound

This paper cites The intrinsic dimension of images and its impact on learning.

Dimension-independent rates for structured neural density estimation The intrinsic dimension of images and its impact on learning

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-12T14:42:20.068401Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a28e3bcf-fcb5-4333-965c-5478bbc5646a · outbound

This paper cites A Useful Convergence Theorem for Probability Distributions.

Dimension-independent rates for structured neural density estimation A Useful Convergence Theorem for Probability Distributions

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-12T14:42:20.072642Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9d3c0b29-a801-4956-812e-3588bb6212de · outbound

This paper cites Nonparametric regression using deep neural networks with ReLU activation function.

Dimension-independent rates for structured neural density estimation Nonparametric regression using deep neural networks with ReLU activation function

Reference 38

Resolution: verified exact; local_arxiv, observed 2026-08-12T14:42:20.410647Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation ada550cc-0cd4-4ea3-ab1f-cae4e25f211c · outbound

This paper cites Deep ReLU network approximation of functions on a manifold.

Dimension-independent rates for structured neural density estimation Deep ReLU network approximation of functions on a manifold

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-12T14:42:20.082126Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fbd12bfe-7574-4d6e-a032-2c29f12a1579 · outbound

This paper cites Nonparametric density estimation under adversarial losses.

Dimension-independent rates for structured neural density estimation Nonparametric density estimation under adversarial losses

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:42:20.945349Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 83d3ed78-7410-43cb-baed-84e5ccb4fad3 · outbound

This paper cites Adaptivity of diffusion models to manifold structures.

Dimension-independent rates for structured neural density estimation Adaptivity of diffusion models to manifold structures

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:42:20.930912Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation eaeb8100-bcb6-446b-9eac-ae440cd5bf9d · outbound

This paper cites Tsybakov.

Dimension-independent rates for structured neural density estimation Tsybakov

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:42:20.916841Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation dea39a43-bd7b-42e7-9d74-a2f0e86ed17e · outbound

This paper cites Nonparametric density estimation & convergence rates for GAN s under B esov IPM losses.

Dimension-independent rates for structured neural density estimation Nonparametric density estimation & convergence rates for GAN s under B esov IPM losses

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:42:20.902426Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 6ff23a39-1097-48d8-9fbb-13e165637825 · outbound

This paper cites Sharp asymptotic and finite-sample rates of convergence of empirical measures in Wasserstein distance.

Dimension-independent rates for structured neural density estimation Sharp asymptotic and finite-sample rates of convergence of empirical measures in Wasserstein distance

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-12T14:42:20.105389Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 01190917-a546-4d2f-8f8b-df1395967a13 · outbound

This paper cites Graphical normalizing flows.

Dimension-independent rates for structured neural density estimation Graphical normalizing flows

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:42:20.887260Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 914e7a58-22c7-4bb8-8006-bc7d099b5f39 · outbound

This paper cites Yatracos.

Dimension-independent rates for structured neural density estimation Yatracos

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-12T14:42:20.114736Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6751c744-ac01-4f72-bb45-5a11cfbaefe0 · outbound

This paper cites write newline.

Dimension-independent rates for structured neural density estimation write newline

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-12T14:42:20.124293Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 59294d0e-fd68-4402-8a6e-42c9e64c9d9f · outbound

This paper cites @esa (Ref.

Dimension-independent rates for structured neural density estimation @esa (Ref

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-12T14:42:20.130148Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 99967652-e990-46f5-836b-8b965dfb39c3 · outbound

This paper cites an unresolved cited work.

Dimension-independent rates for structured neural density estimation Unresolved cited work

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-12T14:42:20.134964Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c8a5885c-fecf-4636-80e5-666367ed8ca2 · outbound

This paper cites Minimax Optimality of Score-based Diffusion Models: Beyond the Density Lower Bound Assumptions.

Dimension-independent rates for structured neural density estimation Minimax Optimality of Score-based Diffusion Models: Beyond the Density Lower Bound Assumptions

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-12T14:42:20.139758Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.