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Paper Citation Record · LEDGER

Distributionally Robust Coreset Selection under Covariate Shift

As of 14 August 2026, this Paper Citation Record lists 17 of 17 outbound references and 0 inbound Pith citation observations for arXiv:2501.14253.

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

pith.paper-citation-record.v1
2501.14253 v2

Coverage vector

measured 17 of 17 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T15:23:36.926478Z

measured 17 of 17 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+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

17 of 17 outbound references displayed

  • verified exact1
  • verified fuzzy6
  • unresolved9
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation a2e5e6c3-b351-44a6-a7b6-f3ee985848f0 · outbound

This paper cites splice”). • In the table, the column “d.

Distributionally Robust Coreset Selection under Covariate Shift splice”). • In the table, the column “d

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T15:23:37.395934Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T15:23:36.926478Z digest=sha256:ee66c1982aeed25a76a17a728bcb0f939197376383c7a37124f471d295d48145

Observation ba82d8ce-e0a0-42ee-913d-cbdfed02ad1c · outbound

This paper cites As a method to solve the constrained maximization ofDGi inW, we apply method of Lagrange multiplier.

Distributionally Robust Coreset Selection under Covariate Shift As a method to solve the constrained maximization ofDGi inW, we apply method of Lagrange multiplier

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T15:23:37.582052Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T15:23:36.922378Z digest=sha256:2dc519ece87da8829c28cbff4f7833b9ac7c6262ba2d8401f5ca2be54ee15cee

Observation df961549-6502-44ba-bf4e-ff87681ac9e5 · outbound

This paper cites Chengcheng Guo, Bo Zhao, and Yanbing Bai.

Distributionally Robust Coreset Selection under Covariate Shift Chengcheng Guo, Bo Zhao, and Yanbing Bai

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-10T15:23:36.707966Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T15:23:36.707966Z digest=sha256:2c550977f5d90bd72dbb0a43526ebbf9a39a016c27ac3d403b72a05b42e87022

Observation a0d2b858-b142-4647-be2d-4dfbc23f6efd · outbound

This paper cites Active Learning by Acquiring Contrastive Examples.

Distributionally Robust Coreset Selection under Covariate Shift Active Learning by Acquiring Contrastive Examples

Reference 10

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unresolved
no resolver link, observed 2026-08-10T15:23:36.732453Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T15:23:36.732453Z digest=sha256:8818437eb41316af330104a61f825ad36bb63d545bc355fd50da3390de3b834c

Observation 42062632-8fac-4c28-a61b-6ecfccc4b0a5 · outbound

This paper cites Adam Paszke, Sam Gross, Soumith Chintala, Gregory Chanan, Edward Yang, Zachary DeVito, Zeming Lin, Alban Desmaison, Luca Antiga, and Adam Lerer.

Distributionally Robust Coreset Selection under Covariate Shift Adam Paszke, Sam Gross, Soumith Chintala, Gregory Chanan, Edward Yang, Zachary DeVito, Zeming Lin, Alban Desmaison, Luca Antiga, and Adam Lerer

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T15:23:37.678993Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T15:23:36.735810Z digest=sha256:f4d62985cb10ed7b0d087ad8f1923132c78155b976f90134dc5a815f74ff3323

Observation 6593d6b8-1cfb-4c24-8f05-e95939c93523 · outbound

This paper cites Liyuan Wang, Xingxing Zhang, Kuo Yang, Longhui Yu, Chongxuan Li, Lanqing HONG, Shifeng Zhang, Zhenguo Li, Yi Zhong, and Jun Zhu.

Distributionally Robust Coreset Selection under Covariate Shift Liyuan Wang, Xingxing Zhang, Kuo Yang, Longhui Yu, Chongxuan Li, Lanqing HONG, Shifeng Zhang, Zhenguo Li, Yi Zhong, and Jun Zhu

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-10T15:23:36.742542Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T15:23:36.742542Z digest=sha256:1fe455417b0c6a93b3d544f1ab3e491032c89af8f391b2ba1ed52d32167cbd61

Observation 11a49c47-a9b8-44f6-afcf-26304cdd8436 · outbound

This paper cites Lemma C.4.

Distributionally Robust Coreset Selection under Covariate Shift Lemma C.4

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T15:23:37.656765Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T15:23:36.918166Z digest=sha256:50ad24c41d0f0a29045f72ca2230500edb846faad2e7e8367d4cd47d1197570a

Observation b4b32e46-6f57-49ab-9138-c9eabb62a9bd · outbound

This paper cites Active Learning for Convolutional Neural Networks: A Core-Set Approach.

Distributionally Robust Coreset Selection under Covariate Shift Active Learning for Convolutional Neural Networks: A Core-Set Approach

Reference 2001

Resolution
unresolved
no resolver link, observed 2026-08-10T15:23:36.739147Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T15:23:36.739147Z digest=sha256:88413112b764908b63daecde1389d68e58522816928894e8a0038dade56b3f6f

Observation 1fc44a8d-896e-4972-8c8d-c2e2d4e38021 · outbound

This paper cites Deep Neural Networks as Gaussian Processes.

Distributionally Robust Coreset Selection under Covariate Shift Deep Neural Networks as Gaussian Processes

Reference 2009

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unresolved
no resolver link, observed 2026-08-10T15:23:36.728048Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T15:23:36.728048Z digest=sha256:a13f68feddb0debba8ccf5295a8ba26a407a51a0fb330894491f467c1c186f47

Observation fe604e3e-98ef-48df-9f09-c3fca617e35a · outbound

This paper cites Steven Diamond and Stephen Boyd.

Distributionally Robust Coreset Selection under Covariate Shift Steven Diamond and Stephen Boyd

Reference 2010

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unresolved
no resolver link, observed 2026-08-10T15:23:36.569501Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T15:23:36.569501Z digest=sha256:882aabdcd00e8b5b6cf62e74e626b03f6a12bee9fca3d3130347f0ffed0b67eb

Observation e3d4d84d-45fa-45d0-8c36-52ddbda586eb · outbound

This paper cites Lemma A.5.

Distributionally Robust Coreset Selection under Covariate Shift Lemma A.5

Reference 2015

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T15:23:37.667509Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T15:23:36.861606Z digest=sha256:1dc741606f8199e97408192ab90bde5e25cfc0e8d42a8c06baef2a1af259e8cc

Observation 25925a10-eadb-412a-86f5-ff6e72d26c24 · outbound

This paper cites Adversarial Active Learning for Deep Networks: a Margin Based Approach.

Distributionally Robust Coreset Selection under Covariate Shift Adversarial Active Learning for Deep Networks: a Margin Based Approach

Reference 2016

Resolution
unresolved
no resolver link, observed 2026-08-10T15:23:36.655863Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T15:23:36.655863Z digest=sha256:beadb3753390fd2aeea5b3d4a24d6287b11b49b438125c1aca3c3ddfc7a97eea

Observation 53d2e8cd-75f3-4a79-9e4a-fd8cfd96d22c · outbound

This paper cites Alex Krizhevsky.

Distributionally Robust Coreset Selection under Covariate Shift Alex Krizhevsky

Reference 2017

Resolution
unresolved
no resolver link, observed 2026-08-10T15:23:36.724668Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T15:23:36.724668Z digest=sha256:38de73914456aba0fb5b91aa23c6ac3f5ed2f2a3e2a0235909a11f9c9b5b47aa

Observation 6d3b7d5e-eabe-43a9-8909-714fda2988df · outbound

This paper cites URL https: //doi.org/10.1038/s41586-020-2649-2.

Distributionally Robust Coreset Selection under Covariate Shift URL https: //doi.org/10.1038/s41586-020-2649-2

Reference 2020

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unresolved
no resolver link, observed 2026-08-10T15:23:36.720673Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T15:23:36.720673Z digest=sha256:be2a2c43be4d08591966fd71bef5a8fb949037051674e036336a54cf6f6d5a4b

Observation 5c4c9e47-cdfa-4182-a582-ea41985d502f · outbound

This paper cites Distributionally Robust Learning.

Distributionally Robust Coreset Selection under Covariate Shift Distributionally Robust Learning

Reference 2021

Resolution
metadata mismatch
local_arxiv, observed 2026-08-10T15:23:37.353099Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T15:23:36.470075Z digest=sha256:5131627db118612cde0c05565bf52aba5d4695b7da7773fae2e345f10d05a7aa

Observation bf62d64d-8929-439c-8342-6ea791e0c6f7 · outbound

This paper cites Generalized low-rank update: Model parameter bounds for low-rank training data modifications.

Distributionally Robust Coreset Selection under Covariate Shift Generalized low-rank update: Model parameter bounds for low-rank training data modifications

Reference 2022

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T15:23:37.690231Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T15:23:36.711827Z digest=sha256:6e4e6269200f47657a8b44069b042016b41ba0d3a0ff3b1972d018ce84bd9aaa

Observation 83533a67-9d8f-4466-b7bc-3a930482f62a · outbound

This paper cites Distributionally Robust Safe Sample Elimination under Covariate Shift.

Distributionally Robust Coreset Selection under Covariate Shift Distributionally Robust Safe Sample Elimination under Covariate Shift

Reference 2024

Resolution
verified exact
local_arxiv, observed 2026-08-10T15:23:37.072750Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T15:23:36.716108Z digest=sha256:cafb4d04833b90421216e14812c63dd89a62291f7a7f81080e7f85ff04cfb4ec

Pith citing papers

No inbound Pith citation observations are available.