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Paper Citation Record · LEDGER

Distributionally Robust Policy Learning under Concept Drifts

As of 22 August 2026, this Paper Citation Record lists 17 of 17 outbound references and 1 inbound Pith citation observation for arXiv:2412.14297.

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

pith.paper-citation-record.v1
2412.14297 v2

Coverage vector

measured 17 of 17 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T12:33:05.595975Z

measured 18 of 18 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T20:36:25.373676Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-15T20:36:25.985938Z

Reference resolution

17 of 17 outbound references displayed

  • verified exact4
  • verified fuzzy4
  • unresolved9
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 7a6f8b27-0ded-460b-bdee-7ddf9603aec2 · outbound

This paper cites Not all distributional shifts are equal: Fine-grained robust conformal inference.

Distributionally Robust Policy Learning under Concept Drifts Not all distributional shifts are equal: Fine-grained robust conformal inference

Reference 1

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no resolver link, observed 2026-08-11T12:33:05.514622Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T12:33:05.514622Z digest=sha256:4478803f8864d3cd55572ad0a5ca08ab91df7816dd9c3bed956be324089be829

Observation d06352a4-25fd-45e0-975e-ceba5b377d9f · outbound

This paper cites Learning from a Biased Sample.

Distributionally Robust Policy Learning under Concept Drifts Learning from a Biased Sample

Reference 10

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no resolver link, observed 2026-08-11T12:33:05.561865Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-11T12:33:05.561865Z digest=sha256:9440881d1f91ce55713c606aa730e50552ea6e416cf29febe6f8d8bcf0616f9d

Observation b53170a8-4593-4b02-a369-640f7044f5b4 · outbound

This paper cites Notation We use [n] to denote the discrete set {1, 2, · · ·, n} for any n ∈ Z.

Distributionally Robust Policy Learning under Concept Drifts Notation We use [n] to denote the discrete set {1, 2, · · ·, n} for any n ∈ Z

Reference 13

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verified fuzzy
raw_fallback, observed 2026-08-11T12:33:05.897585Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T12:33:05.576450Z digest=sha256:b823e998fe1452f14f180693aedd1108794a8cf8b7f35e5763e69a4ae885de94

Observation 5119cb47-f752-45d8-aeb8-52f3e7ba8bb7 · outbound

This paper cites Computation Details.

Distributionally Robust Policy Learning under Concept Drifts Computation Details

Reference 14

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verified fuzzy
raw_fallback, observed 2026-08-11T12:33:05.882378Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T12:33:05.581371Z digest=sha256:2b746344d3828ebeb64ae68515b420d742dddb09e391f032cfd136f68b433a77

Observation 7cf71a06-8a82-47b6-a73b-e0c85c50334c · outbound

This paper cites sup π∈Π 1 n X i∈[n] h(Zi, π(Xi)) − E h h(Zi, π(Xi)) i # = E.

Distributionally Robust Policy Learning under Concept Drifts sup π∈Π 1 n X i∈[n] h(Zi, π(Xi)) − E h h(Zi, π(Xi)) i # = E

Reference 15

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raw_fallback, observed 2026-08-11T12:33:05.867197Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T12:33:05.585907Z digest=sha256:43a743416314479c80e75dc844b4ba0e2b0685fb825c71b1535d87b91b34358c

Observation 40b87589-7dc7-4bb8-9052-7c73662be1ff · outbound

This paper cites hard instances.

Distributionally Robust Policy Learning under Concept Drifts hard instances

Reference 16

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raw_fallback, observed 2026-08-11T12:33:05.852525Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T12:33:05.590653Z digest=sha256:c8939921da8fe62394838be4cbdb155099e52af7c03d865065130d7eacfac6cd

Observation 6b36af3a-e5d0-4d16-b8d2-ac1f8c23b66b · outbound

This paper cites an unresolved cited work.

Distributionally Robust Policy Learning under Concept Drifts Unresolved cited work

Reference 32

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raw_fallback, observed 2026-08-11T12:33:05.837030Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T12:33:05.595975Z digest=sha256:80484702aad6c3464ccf810c21616f7cc2c5d301ad29ae9e886f73a10079edd9

Observation 7e7ab563-dda8-425a-97d0-edbb8889043d · outbound

This paper cites Diagnosing Model Performance Under Distribution Shift.

Distributionally Robust Policy Learning under Concept Drifts Diagnosing Model Performance Under Distribution Shift

Reference 1964

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no resolver link, observed 2026-08-11T12:33:05.557445Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T12:33:05.557445Z digest=sha256:2bff86ae9b17d971e5cfc8f67f2b4c0761e198e21eacbae95b3307a2b18eee0f

Observation b1e6bd8e-2fb6-45d1-9c37-540733502eaf · outbound

This paper cites Distributionally Robust Policy Evaluation under General Covariate Shift in Contextual Bandits.

Distributionally Robust Policy Learning under Concept Drifts Distributionally Robust Policy Evaluation under General Covariate Shift in Contextual Bandits

Reference 1993

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verified exact
local_arxiv, observed 2026-08-11T12:33:05.770058Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T12:33:05.530928Z digest=sha256:eb0173d115104627f86e6fe0f35364679660572de08c2a85906c23d26bc70615

Observation e15db5fc-317f-45c9-9c63-da22a772ef92 · outbound

This paper cites Bounds on the conditional and average treatment effect with unobserved confounding factors.

Distributionally Robust Policy Learning under Concept Drifts Bounds on the conditional and average treatment effect with unobserved confounding factors

Reference 1996

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no resolver link, observed 2026-08-11T12:33:05.566772Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T12:33:05.566772Z digest=sha256:be40445c77a2f57a9eacc73d35147accddf197d75553593ed5bace1c17077ccf

Observation 8c06fc11-097b-4c74-bd2f-dbe3d4ad0487 · outbound

This paper cites Optimal Multi-Distribution Learning.

Distributionally Robust Policy Learning under Concept Drifts Optimal Multi-Distribution Learning

Reference 2012

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source=pdf_text observed=2026-08-11T12:33:05.571876Z digest=sha256:27665a8935d0b0c59edc4219983e54ec154a70618de6eaa32f8503715a2499a6

Observation 8d88756d-0832-4dcb-a729-e7034de43fcc · outbound

This paper cites Interpretable Personalization via Policy Learning with Linear Decision Boundaries.

Distributionally Robust Policy Learning under Concept Drifts Interpretable Personalization via Policy Learning with Linear Decision Boundaries

Reference 2013

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verified exact
local_arxiv, observed 2026-08-11T12:33:05.806567Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T12:33:05.520261Z digest=sha256:c89233dffdd47e7c4389f02c8499aa2a6adb893ce48de685e3411129c2f91fab

Observation 0e683e33-4c53-401b-9041-d9ae512edc93 · outbound

This paper cites Localized Debiased Machine Learning: Efficient Inference on Quantile Treatment Effects and Beyond.

Distributionally Robust Policy Learning under Concept Drifts Localized Debiased Machine Learning: Efficient Inference on Quantile Treatment Effects and Beyond

Reference 2016

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verified exact
local_arxiv, observed 2026-08-11T12:33:05.712064Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T12:33:05.546408Z digest=sha256:e2a5ba468c8b1b8d1a3c06e9b6af4d97835fcef39e48b2663ccc4e9196844d0c

Observation 61f1ede8-be20-4cac-886d-fbb3fe535545 · outbound

This paper cites Rethinking Distribution Shifts: Empirical Analysis and Modeling for Tabular Data.

Distributionally Robust Policy Learning under Concept Drifts Rethinking Distribution Shifts: Empirical Analysis and Modeling for Tabular Data

Reference 2018

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source=pdf_text observed=2026-08-11T12:33:05.552147Z digest=sha256:4dbb7c27b66b8b310f14f58bc666d728c058a5f4215e596b86f2693b3f2182b3

Observation 972f9926-2dff-4007-aeca-fb65295e7c7c · outbound

This paper cites Doubly Robust Policy Evaluation and Learning.

Distributionally Robust Policy Learning under Concept Drifts Doubly Robust Policy Evaluation and Learning

Reference 2019

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source=pdf_text observed=2026-08-11T12:33:05.525416Z digest=sha256:dbccdb6cb63f2a82f6e9490a2498677a98a980c43e486b05877db40b789909b9

Observation 2ec5c824-e4ae-4455-8f64-180d26547283 · outbound

This paper cites Policy learning "without" overlap: Pessimism and generalized empirical Bernstein's inequality.

Distributionally Robust Policy Learning under Concept Drifts Policy learning "without" overlap: Pessimism and generalized empirical Bernstein's inequality

Reference 2021

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source=pdf_text observed=2026-08-11T12:33:05.536042Z digest=sha256:c81ee6cf9d2e038ab0cdf97d405952efdc2f313116206c64c264f11c9561ed96

Observation f51bda57-7186-422c-8780-ebb1a3bb90e2 · outbound

This paper cites Dynamic Assortment Personalization in High Dimensions.

Distributionally Robust Policy Learning under Concept Drifts Dynamic Assortment Personalization in High Dimensions

Reference 2023

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verified exact
local_arxiv, observed 2026-08-11T12:33:05.734135Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T12:33:05.541483Z digest=sha256:1e9432e0dc3c28a5ef9f566874c546aef27f4955070b9268cfeef3fd680e789e

Pith citing papers

Observation c6dd2526-76c6-445a-bd8a-8f0b37a93ffa · inbound

Learning Robust Spectral Dynamics for Temporal Domain Generalization cites this paper.

Learning Robust Spectral Dynamics for Temporal Domain Generalization Distributionally Robust Policy Learning under Concept Drifts

Reference 5

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verified exact
local_arxiv, observed 2026-08-15T20:36:25.991565Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T20:36:25.373676Z digest=sha256:bf6b7c9200fad18eb9c46f7355a6a9ffb38e14a0932effe9551d0449dfccc568