Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-11T17:18:23.294648Z
Paper Citation Record · LEDGER
Uplift modeling with continuous treatments: A predict-then-optimize approach
As of 15 August 2026, this Paper Citation Record lists 15 of 15 outbound references and 3 inbound Pith citation observations for arXiv:2412.09232.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T11:58:25.018609Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-09T06:05:36.462992Z
Reference resolution
15 of 15 outbound references displayed
- verified exact0
- verified fuzzy3
- unresolved8
- parse uncertain0
- malformed identifier1
- metadata mismatch3
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 4cad8f34-fac0-473c-a700-8757887db3f5 · outbound
This paper cites Fair Off-Policy Learning from Observational Data.
Uplift modeling with continuous treatments: A predict-then-optimize approach Fair Off-Policy Learning from Observational Data
Reference 5
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-08-11T17:18:23.730643Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation fef03f8d-e012-43cc-8195-c3ef9d07e9fa · outbound
This paper cites An Epistemic and Aleatoric Decomposition of Arbitrariness to Constrain the Set of Good Models.
Uplift modeling with continuous treatments: A predict-then-optimize approach An Epistemic and Aleatoric Decomposition of Arbitrariness to Constrain the Set of Good Models
Reference 7
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T17:18:23.204321Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 75e9ab20-f49d-49f1-a18e-f3698c7c9d6b · outbound
This paper cites Decision-Focused Learning: Foundations, State of the Art, Benchmark and Future Opportunities.
Uplift modeling with continuous treatments: A predict-then-optimize approach Decision-Focused Learning: Foundations, State of the Art, Benchmark and Future Opportunities
Reference 9
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T17:18:23.217766Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7b052434-7f01-4f30-914d-b275f1e153d3 · outbound
This paper cites VCNet and Functional Targeted Regularization For Learning Causal Effects of Continuous Treatments.
Uplift modeling with continuous treatments: A predict-then-optimize approach VCNet and Functional Targeted Regularization For Learning Causal Effects of Continuous Treatments
Reference 10
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T17:18:23.223163Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b85b6f29-4116-45c9-a342-5dcc2c153477 · outbound
This paper cites arXiv preprint arXiv:2407.03094.
Uplift modeling with continuous treatments: A predict-then-optimize approach arXiv preprint arXiv:2407.03094
Reference 11
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T17:18:23.229948Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5607f57c-608b-43e9-b7d6-83346b0d5f61 · outbound
This paper cites (Eds.), Advances in Neural Information Processing Systems, Curran Associates, Inc.
Uplift modeling with continuous treatments: A predict-then-optimize approach (Eds.), Advances in Neural Information Processing Systems, Curran Associates, Inc
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T17:18:23.995143Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation dbfda893-d5cf-49a9-8b57-20f01a83ad08 · outbound
This paper cites Metalearners for Ranking Treatment Effects.
Uplift modeling with continuous treatments: A predict-then-optimize approach Metalearners for Ranking Treatment Effects
Reference 13
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T17:18:23.242590Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d59e39f0-bbb0-4d35-91b0-efcb7a0bf5b2 · outbound
This paper cites Thorax 78, 983–989.
Uplift modeling with continuous treatments: A predict-then-optimize approach Thorax 78, 983–989
Reference 14
- Resolution
- malformed identifier
- raw_fallback, observed 2026-08-11T17:18:23.914039Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 8fd314c1-9274-4066-9e25-d01f3f330ddf · outbound
This paper cites an unresolved cited work.
Uplift modeling with continuous treatments: A predict-then-optimize approach Unresolved cited work
Reference 2014
- Resolution
- unresolved
- raw_fallback, observed 2026-08-11T17:18:24.236645Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 78792e3b-6fe2-4ada-beb7-f4ca0f3ebe70 · outbound
This paper cites Archives of toxicology 89, 2059–2068.
Uplift modeling with continuous treatments: A predict-then-optimize approach Archives of toxicology 89, 2059–2068
Reference 2015
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T17:18:24.119936Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation d156224f-a118-499d-9e9c-8a551574e4e8 · outbound
This paper cites Inherent Trade-Offs in the Fair Determination of Risk Scores.
Uplift modeling with continuous treatments: A predict-then-optimize approach Inherent Trade-Offs in the Fair Determination of Risk Scores
Reference 2016
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T17:18:23.209708Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation eabe089f-8157-46d7-af56-cc9f105eeacb · outbound
This paper cites COM(2021) 206 final.
Uplift modeling with continuous treatments: A predict-then-optimize approach COM(2021) 206 final
Reference 2021
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T17:18:24.156085Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 66aff737-c743-4c04-9a7f-add367718673 · outbound
This paper cites Exploring Transformer Backbones for Heterogeneous Treatment Effect Estimation.
Uplift modeling with continuous treatments: A predict-then-optimize approach Exploring Transformer Backbones for Heterogeneous Treatment Effect Estimation
Reference 2022
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T17:18:23.294648Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation fef1328c-e079-4e9b-8a90-d5f594543340 · outbound
This paper cites Using representation balancing to learn conditional-average dose responses from clustered data.
Uplift modeling with continuous treatments: A predict-then-optimize approach Using representation balancing to learn conditional-average dose responses from clustered data
Reference 2023
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-08-11T17:18:23.883649Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 634e9880-2ddc-4860-b1d4-4fa889f60430 · outbound
This paper cites Sources of Gain: Decomposing Performance in Conditional Average Dose Response Estimation.
Uplift modeling with continuous treatments: A predict-then-optimize approach Sources of Gain: Decomposing Performance in Conditional Average Dose Response Estimation
Reference 2024
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-08-11T17:18:23.828107Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Pith citing papers
Observation ec43e4bd-0b3a-4622-884f-1a48aa62d12f · inbound
Hidden Representation Clustering with Multi-Task Representation Learning towards Robust Online Budget Allocation cites this paper.
Hidden Representation Clustering with Multi-Task Representation Learning towards Robust Online Budget Allocation Uplift modeling with continuous treatments: A predict-then-optimize approach
Reference 4
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T11:58:25.018609Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 32e97ea3-d367-494f-a31f-28d80baedd08 · inbound
Principles and Guidelines for Randomized Controlled Trials in AI Evaluation cites this paper.
Principles and Guidelines for Randomized Controlled Trials in AI Evaluation Uplift modeling with continuous treatments: A predict-then-optimize approach
Reference 6
- Resolution
- verified exact
- arxiv_id, observed 2026-05-09T06:05:36.466027Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation e8a9fe08-59e8-4735-b588-efcb03afdce3 · inbound
Principles and Guidelines for Randomized Controlled Trials in AI Evaluation cites this paper.
Principles and Guidelines for Randomized Controlled Trials in AI Evaluation Uplift modeling with continuous treatments: A predict-then-optimize approach
Reference 2026
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T15:01:23.802256Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.