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Paper Citation Record · LEDGER

Robust Mean Estimation With Auxiliary Samples

As of 12 August 2026, this Paper Citation Record lists 11 of 11 outbound references and 0 inbound Pith citation observations for arXiv:2501.18095.

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

pith.paper-citation-record.v1
2501.18095 v2

Coverage vector

measured 11 of 11 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T00:49:29.994275Z

measured 11 of 11 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+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

11 of 11 outbound references displayed

  • verified exact3
  • verified fuzzy5
  • unresolved3
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation c7d83530-ae50-4f4f-a84d-b42659e402dc · outbound

This paper cites Prediction-powered inference,.

Robust Mean Estimation With Auxiliary Samples Prediction-powered inference,

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-10T00:49:29.936015Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T00:49:29.936015Z digest=sha256:b4240a0e65993f828403f0816c8f270c5198d878d693fb6ad704f21c94991c56

Observation 023e99a9-31c5-4f41-860f-f71bbd1d557d · outbound

This paper cites Data augmentation using generative adversarial networks (CycleGAN) to improve generalizability in CT segmentation tasks,.

Robust Mean Estimation With Auxiliary Samples Data augmentation using generative adversarial networks (CycleGAN) to improve generalizability in CT segmentation tasks,

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T00:49:30.471502Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T00:49:29.941793Z digest=sha256:956a9c318708e4aeff1eb821b1a1ebcc981f56ee1727ee1b9a7e96844400a14a

Observation c851b989-ea1c-4891-a33c-ffa2696db051 · outbound

This paper cites A General Decision Theory for Huber's $\epsilon$-Contamination Model.

Robust Mean Estimation With Auxiliary Samples A General Decision Theory for Huber's $\epsilon$-Contamination Model

Reference 3

Resolution
verified exact
local_arxiv, observed 2026-08-10T00:49:30.377998Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T00:49:29.947443Z digest=sha256:1870138aa8ae660951a3c9b7bee89956af9965882d17f4a2836ce21e28137b47

Observation 6bc6ceb3-258b-4d01-8b00-008a48ed08fd · outbound

This paper cites A theoretical review of modern robust statistics,.

Robust Mean Estimation With Auxiliary Samples A theoretical review of modern robust statistics,

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T00:49:30.452959Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T00:49:29.953001Z digest=sha256:21c1a7846620875389e9e16f4351bc57f1db3d315d0907a00cda56435aadefd6

Observation 7ba14214-d1dd-499e-a98d-bbb4a1f6d5a6 · outbound

This paper cites Data-driven distributionally robust optimization using the Wasserstein metric: Performance guarantees and tractable reformulations,.

Robust Mean Estimation With Auxiliary Samples Data-driven distributionally robust optimization using the Wasserstein metric: Performance guarantees and tractable reformulations,

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T00:49:30.435939Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T00:49:29.959358Z digest=sha256:3bff7ae590483b5899f414649ddf661b30271b2a45538938af0bed70ac264d05

Observation 1b4d3246-c466-4bb0-8259-548af5d738cc · outbound

This paper cites Wasserstein Distributionally Robust Estimation in High Dimensions: Performance Analysis and Optimal Hyperparameter Tuning.

Robust Mean Estimation With Auxiliary Samples Wasserstein Distributionally Robust Estimation in High Dimensions: Performance Analysis and Optimal Hyperparameter Tuning

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-10T00:49:29.965024Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T00:49:29.965024Z digest=sha256:fecba94e6ad4464e034a41228820534c302b0f3c49d35edd60a8dac276a78d36

Observation b7b36927-4cfe-4216-a1ae-60bb3e5d9bed · outbound

This paper cites Wasserstein Distributionally Robust Optimization: Theory and Applications in Machine Learning.

Robust Mean Estimation With Auxiliary Samples Wasserstein Distributionally Robust Optimization: Theory and Applications in Machine Learning

Reference 7

Resolution
verified exact
local_arxiv, observed 2026-08-10T00:49:30.335872Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T00:49:29.970982Z digest=sha256:7fba86cf3bef97233630162b109f24458564ad7fa6a008c9e2f1039fc3dca974

Observation b6e5ab77-bc15-4680-b10a-af68ad4e8249 · outbound

This paper cites Generalized resilience and robust statistics,.

Robust Mean Estimation With Auxiliary Samples Generalized resilience and robust statistics,

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T00:49:30.418012Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T00:49:29.976291Z digest=sha256:3d89e31ce3c72f223f6f1a58514fa7c16ce91f74ec3724bdbe05cbb474083de3

Observation f083f676-d828-466b-8c40-ebfe6514ac1a · outbound

This paper cites Robust W-GAN-based estimation under Wasser- stein contamination,.

Robust Mean Estimation With Auxiliary Samples Robust W-GAN-based estimation under Wasser- stein contamination,

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T00:49:30.400168Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T00:49:29.983573Z digest=sha256:941ea648b75d2952bdb697c32d33307a7c670481a0e6c9aef313cf802048c428

Observation 9759ba01-c593-4713-b486-251428ee63d0 · outbound

This paper cites Statistical estimation under distribution shift: Wasserstein perturbations and minimax theory,.

Robust Mean Estimation With Auxiliary Samples Statistical estimation under distribution shift: Wasserstein perturbations and minimax theory,

Reference 10

Resolution
verified exact
arxiv_id, observed 2026-08-10T00:49:30.308968Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T00:49:29.989238Z digest=sha256:06af51bb2ed0f638e1a7a58bb19e8e8bd8d166180f8d5b4828a6fe8b8c4ad969

Observation cddc1044-d541-4c60-b758-c80681e4a9fe · outbound

This paper cites On a formula for the L2 Wasserstein metric between measures on Euclidean and Hilbert spaces,.

Robust Mean Estimation With Auxiliary Samples On a formula for the L2 Wasserstein metric between measures on Euclidean and Hilbert spaces,

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-10T00:49:29.994275Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T00:49:29.994275Z digest=sha256:c6051c9247a6d600235fa9946708fcf0295cd3839acca330fde8fad14732fe3f

Pith citing papers

No inbound Pith citation observations are available.