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Paper Citation Record · LEDGER

Distributionally Robust Policy Learning under Concept Drifts

As of 18 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 2026-08-17T06:30:58.91139+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:f2b3cf2b10d644f5d62b8a7569a51347f21501d9b31b02f2e7ec66555867fd18

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

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T12:33:05.561865Z digest=sha256:1f17d5cfa6856418c4b64399bb336d5557aef03ca5a588cfc37b38e46f67e462

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T12:33:05.576450Z digest=sha256:7312ce5392ead0d5ef138ab351e15da08e18a6861cafd589d52fb7b1a0120383

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T12:33:05.581371Z digest=sha256:2c71b1757d57e56c8e80096f2a1a61d99a18f3a3e65aa683890fdbab973e8155

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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verified fuzzy
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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T12:33:05.585907Z digest=sha256:34c61a5e833f4b701121bcbbee94572fd7b6c9538bcc28ee3e6fe7f49c65e1f3

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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verified fuzzy
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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T12:33:05.590653Z digest=sha256:418ee64ed05f1c2d2462a8aff01fba8dc34353308ab7123be1765a2e761f0297

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T12:33:05.595975Z digest=sha256:40bcf5d1aabd20e69082bb72caacbb132588f2967d540220981ed538e1e929e2

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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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T12:33:05.557445Z digest=sha256:bf8cd8b05938a8ba110c87052ff7eadd127ac1ed8f12adefd73b3374f3805c22

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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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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T12:33:05.530928Z digest=sha256:c6c4b2bc66a360669c8249584680ea3a3d0762c8c020df3faf901da10288e0fa

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T12:33:05.566772Z digest=sha256:ce179a1c68b9228baa07650b5b1d3762c685aa6db71ffceec6416b52dd879031

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=sha256:8b3b36bf939a4c3858b351ad04be2e712c474229481ddf7cd439a39ee6919e3e

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T12:33:05.520261Z digest=sha256:bb3be6555f11bbeca45e279030d221ed5dce4ee7dfdad5563110d8a135e9846e

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T12:33:05.546408Z digest=sha256:50fbb2e7e8bc26d3ef3f7190cf532119b434f7769b5b387857739f44e3ef96e1

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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no resolver link, observed 2026-08-11T12:33:05.552147Z

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source=pdf_text observed=2026-08-11T12:33:05.552147Z digest=sha256:d8d66acd7c82d2334bdd8545ccc5cc2fc6fda0a9faf239f7a71d7d9a66e6c563

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=sha256:31ced3f2fdbb8644c1ab61ae680daab4d94229fe5dbd28cba67d55b102786755

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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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T12:33:05.536042Z digest=sha256:df76768dd19dc506eb0dde5a876de91582e5984b5e15b50dba039720f848e23c

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T12:33:05.541483Z digest=sha256:097e5f2efbd80713880f58c7d8fcd6cc6120eb127a84b7edd7062ff70897459d

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T20:36:25.373676Z digest=sha256:b6a3a1bcc7454107559557df904f189ccedf4b0d3b496b870e2da316a5c5d5cc