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Source: paper_references, paper_reference_links, observed 2026-08-01T12:41:27.538063Z
Paper Citation Record · LEDGER
As of 6 August 2026, this Paper Citation Record lists 59 of 59 outbound references and 0 inbound Pith citation observations for arXiv:2607.26599.
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Source: paper_references, paper_reference_links, observed 2026-08-01T12:41:27.538063Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-06T06:34:29.942622+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
59 of 59 outbound references displayed
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Observation 8197bafa-d0d9-4971-a153-6a36baf34176 · outbound
Uncertainty-Guided LLM Semantic Augmentation for Heterogeneous Treatment Effect Estimation Improved algorithms for linear stochastic bandits
Reference 1
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Observation 3f704bc7-b80e-498a-bf17-7b31c5c136b3 · outbound
Uncertainty-Guided LLM Semantic Augmentation for Heterogeneous Treatment Effect Estimation Alaa and Mihaela van der Schaar
Reference 2
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Observation 033bed1f-8aef-4050-9b14-fe95b30cbfe6 · outbound
Uncertainty-Guided LLM Semantic Augmentation for Heterogeneous Treatment Effect Estimation Uncertainty- based offline reinforcement learning with diversified Q-ensemble
Reference 3
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Observation 696ef70c-8b71-4367-9178-dd94e4265308 · outbound
Uncertainty-Guided LLM Semantic Augmentation for Heterogeneous Treatment Effect Estimation Pessimistic Bootstrapping for Uncertainty-Driven Offline Reinforcement Learning
Reference 4
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Observation 59da51b5-1dd0-412f-a304-2089c1c21862 · outbound
Uncertainty-Guided LLM Semantic Augmentation for Heterogeneous Treatment Effect Estimation LLM-driven causal discovery via harmonized prior.IEEE Transactions on Knowledge and Data Engineering, 2025
Reference 5
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Observation aa28ef0c-f200-47c8-aae1-0b9a1f89a589 · outbound
Uncertainty-Guided LLM Semantic Augmentation for Heterogeneous Treatment Effect Estimation Weight uncertainty in neural networks
Reference 6
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Observation e6a39eb9-8053-4c7b-9e31-2303ec9d4d0d · outbound
Uncertainty-Guided LLM Semantic Augmentation for Heterogeneous Treatment Effect Estimation Chen, Rohit Bhattacharya, and Katherine A
Reference 7
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Observation 421416e0-a85a-4dbf-8509-7061acc0c832 · outbound
Uncertainty-Guided LLM Semantic Augmentation for Heterogeneous Treatment Effect Estimation Unveiling causal reasoning in large language models: Reality or mirage? InAdvances in Neural Information Processing Systems, volume 37, 2024
Reference 8
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Observation 7af29812-fc2a-4859-b1db-71e2e48c45b4 · outbound
Uncertainty-Guided LLM Semantic Augmentation for Heterogeneous Treatment Effect Estimation Krishnan, and Chris J
Reference 9
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Observation c66745b5-5054-4e64-a131-ab68616d79ae · outbound
Uncertainty-Guided LLM Semantic Augmentation for Heterogeneous Treatment Effect Estimation Causal discovery through synergizing large language model and data-driven reasoning
Reference 10
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Observation b42ad967-6c91-4f22-a599-6d1417016525 · outbound
Uncertainty-Guided LLM Semantic Augmentation for Heterogeneous Treatment Effect Estimation Dropout as a bayesian approximation: Representing model uncertainty in deep learning
Reference 11
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Observation 6e667001-6419-41b3-a849-2ad1feb2acc5 · outbound
Uncertainty-Guided LLM Semantic Augmentation for Heterogeneous Treatment Effect Estimation Learning disentangled representations for counterfactual regression
Reference 12
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Observation e5699297-290b-4f7c-8593-8b12e8c9d15e · outbound
Uncertainty-Guided LLM Semantic Augmentation for Heterogeneous Treatment Effect Estimation Improving treatment effect estimation with llm-based data augmentation
Reference 13
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Observation 7baaeb9b-b3ac-46af-aa3e-7baba00b86b2 · outbound
Uncertainty-Guided LLM Semantic Augmentation for Heterogeneous Treatment Effect Estimation Imbens and Donald B
Reference 14
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Observation 8b6e7a6e-6c0d-4ef2-8f3a-ad182b2f6e22 · outbound
Uncertainty-Guided LLM Semantic Augmentation for Heterogeneous Treatment Effect Estimation Identifying causal- effect inference failure with uncertainty-aware models.Advances in Neural Information Processing Systems, 33:11637–11649, 2020
Reference 15
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Observation 42e39038-9c4f-4e96-aed5-b1b3df6db535 · outbound
Uncertainty-Guided LLM Semantic Augmentation for Heterogeneous Treatment Effect Estimation Cladder: Assessing causal reasoning in language models
Reference 16
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Observation 037a8b5f-949d-432a-ba60-f95435999ead · outbound
Uncertainty-Guided LLM Semantic Augmentation for Heterogeneous Treatment Effect Estimation What uncertainties do we need in bayesian deep learning for computer vision?Advances in neural information processing systems, 30, 2017
Reference 17
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Observation 9e936f90-7bc1-4ba9-8f76-ad355e4a5ff8 · outbound
Uncertainty-Guided LLM Semantic Augmentation for Heterogeneous Treatment Effect Estimation Varia- tional autoencoders and nonlinear ica: A unifying framework
Reference 18
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Observation c76a17c4-cc4b-4b9e-81c3-5bcfbc891000 · outbound
Uncertainty-Guided LLM Semantic Augmentation for Heterogeneous Treatment Effect Estimation Metalearners for estimating heterogeneous treatment effects using machine learning.Proceedings of the National Academy of Sciences, 116(10):4156–4165, 2019
Reference 19
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Observation f2b3b8c6-c877-45ac-8db1-2309f16ccb3f · outbound
Uncertainty-Guided LLM Semantic Augmentation for Heterogeneous Treatment Effect Estimation Causal Reasoning and Large Language Models: Opening a New Frontier for Causality
Reference 20
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Observation 9807c25f-da5a-41dc-9cf4-f985949a1f6a · outbound
Uncertainty-Guided LLM Semantic Augmentation for Heterogeneous Treatment Effect Estimation Simple and scalable predictive uncertainty estimation using deep ensembles.Advances in neural information processing systems, 30, 2017
Reference 21
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Observation a303b7e9-19d6-44db-8241-6ea3f680b085 · outbound
Uncertainty-Guided LLM Semantic Augmentation for Heterogeneous Treatment Effect Estimation Self-distilled disentangled learning for counterfactual prediction
Reference 22
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Observation 4a152543-3d9d-44dc-8b7a-c4d6cd6011c1 · outbound
Uncertainty-Guided LLM Semantic Augmentation for Heterogeneous Treatment Effect Estimation Large language models and causal inference in collaboration: A comprehensive survey
Reference 23
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Observation 6bbea267-b6ba-4fd5-a8b2-a88eeb80124c · outbound
Uncertainty-Guided LLM Semantic Augmentation for Heterogeneous Treatment Effect Estimation Causal effect inference with deep latent-variable models
Reference 24
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Observation 0ff9b957-cbde-4c7c-b5e1-8d1ef0e86e19 · outbound
Uncertainty-Guided LLM Semantic Augmentation for Heterogeneous Treatment Effect Estimation Unresolved cited work
Reference 25
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Observation 1372329a-128a-475a-b71f-2b215a725999 · outbound
Uncertainty-Guided LLM Semantic Augmentation for Heterogeneous Treatment Effect Estimation Deep Disentangled Representation Network for Treatment Effect Estimation
Reference 26
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Observation 84774d33-bb8b-47fa-ae16-f324601f8b5a · outbound
Uncertainty-Guided LLM Semantic Augmentation for Heterogeneous Treatment Effect Estimation Quasi-oracle estimation of heterogeneous treat- ment effects.Biometrika, 108(2):299–319, 2021
Reference 27
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Observation d50d0a30-0e9c-4818-9d4d-00a6f33199ab · outbound
Uncertainty-Guided LLM Semantic Augmentation for Heterogeneous Treatment Effect Estimation A critical look at the consistency of causal estimation with deep latent variable models
Reference 28
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Observation 14088521-4329-4cb1-a3b1-411e87f2c12e · outbound
Uncertainty-Guided LLM Semantic Augmentation for Heterogeneous Treatment Effect Estimation Rosenbaum and Donald B
Reference 29
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Observation 8d6f3293-8f49-431f-aeb4-cf0385e5adc0 · outbound
Uncertainty-Guided LLM Semantic Augmentation for Heterogeneous Treatment Effect Estimation Estimating individual treat- ment effect: generalization bounds and algorithms
Reference 30
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Observation e8c5487b-aa85-4c8d-9d09-eded93896659 · outbound
Uncertainty-Guided LLM Semantic Augmentation for Heterogeneous Treatment Effect Estimation Adapting neural networks for the estimation of treatment effects
Reference 31
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Observation a8f2594d-2501-4ea3-a468-222e58b63116 · outbound
Uncertainty-Guided LLM Semantic Augmentation for Heterogeneous Treatment Effect Estimation Improving data-driven heterogeneous treatment effect estimation under structure uncertainty
Reference 32
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Observation b1780ec7-3d26-4d7c-97e0-773adc5607e7 · outbound
Uncertainty-Guided LLM Semantic Augmentation for Heterogeneous Treatment Effect Estimation DoubleLingo: Causal estimation with large language models
Reference 33
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Observation 32873242-6f16-4ea4-b92b-9876e47ac61e · outbound
Uncertainty-Guided LLM Semantic Augmentation for Heterogeneous Treatment Effect Estimation CE-RCFR: Robust counterfactual regression for consensus-enabled treatment effect estimation
Reference 34
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Observation 657e70c8-05ed-4bdd-ba00-eff70bcb121a · outbound
Uncertainty-Guided LLM Semantic Augmentation for Heterogeneous Treatment Effect Estimation Treatment effect estimation with adjustment feature selection
Reference 35
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Observation 1b45e46b-6951-457e-af85-cb268a4095da · outbound
Uncertainty-Guided LLM Semantic Augmentation for Heterogeneous Treatment Effect Estimation Progressive generalization risk reduction for data-efficient causal effect estimation
Reference 36
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Observation 31a6e0e1-34e9-457f-8646-aae3ed073cc3 · outbound
Uncertainty-Guided LLM Semantic Augmentation for Heterogeneous Treatment Effect Estimation From supervised to generative: A novel paradigm for tabular deep learning with large language models
Reference 37
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Observation 36f25a34-8dc4-431f-a493-13cf868ac332 · outbound
Uncertainty-Guided LLM Semantic Augmentation for Heterogeneous Treatment Effect Estimation Learning decomposed representations for treatment effect estimation.IEEE Transactions on Knowledge and Data Engineering, 35(5):4989– 5001, 2023
Reference 38
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Observation 64e7831c-8ff5-4f97-b8b3-f42f495ff0b5 · outbound
Uncertainty-Guided LLM Semantic Augmentation for Heterogeneous Treatment Effect Estimation 𝛽-intact-VAE: Identifying and estimat- ing causal effects under limited overlap
Reference 39
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Observation 9b78a919-2db4-40d0-8f21-70201db89ad9 · outbound
Uncertainty-Guided LLM Semantic Augmentation for Heterogeneous Treatment Effect Estimation Uncertainty Weighted Actor-Critic for Offline Reinforcement Learning
Reference 40
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Observation 57ac5e0b-63bc-461a-8057-86a828d26d5a · outbound
Uncertainty-Guided LLM Semantic Augmentation for Heterogeneous Treatment Effect Estimation Neural contextual bandits with deep representation and shallow exploration
Reference 41
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Observation bcfbbc86-fd38-4d95-b54b-5f4135e03d1d · outbound
Uncertainty-Guided LLM Semantic Augmentation for Heterogeneous Treatment Effect Estimation Causal inference with conditional front-door adjustment and identifiable variational autoencoder
Reference 42
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Observation 2a218f36-8230-44d4-b766-19004853c1fd · outbound
Uncertainty-Guided LLM Semantic Augmentation for Heterogeneous Treatment Effect Estimation Treatment effect estimation with dis- entangled latent factors.Proceedings of the AAAI Conference on Artificial Intel- ligence, 35(12):10923–10930, May 2021
Reference 43
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Observation 1de501b9-9fd6-47e6-923a-b1c66043cf8a · outbound
Uncertainty-Guided LLM Semantic Augmentation for Heterogeneous Treatment Effect Estimation Lui, and Hang Li
Reference 44
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Observation 5aeec8cc-b64f-441f-8b69-8a3f5d623be8 · outbound
Uncertainty-Guided LLM Semantic Augmentation for Heterogeneous Treatment Effect Estimation DESCN: Deep entire space cross networks for individual treatment effect estimation
Reference 45
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Observation d8097e7b-4c6c-4418-b3f7-982a53882d02 · outbound
Uncertainty-Guided LLM Semantic Augmentation for Heterogeneous Treatment Effect Estimation Neural contextual bandits with UCB-based exploration
Reference 46
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Observation ec8f0562-e156-4ce7-98ca-a297518ab3b1 · outbound
Uncertainty-Guided LLM Semantic Augmentation for Heterogeneous Treatment Effect Estimation Causal effect estimation with mixed latent confounders and post-treatment variables
Reference 47
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Observation d4bdfc35-4679-4e12-95a2-e636be5a9ab5 · outbound
Uncertainty-Guided LLM Semantic Augmentation for Heterogeneous Treatment Effect Estimation Unresolved cited work
Reference 50
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Observation 78923274-5844-4157-9c13-457ef804c74e · outbound
Uncertainty-Guided LLM Semantic Augmentation for Heterogeneous Treatment Effect Estimation Unresolved cited work
Reference 51
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Observation 5ba2c5f0-68e3-4418-b188-3584984cf275 · outbound
Uncertainty-Guided LLM Semantic Augmentation for Heterogeneous Treatment Effect Estimation [Goal] Compress these pre-existing confounders into a single representation
Reference 52
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Observation eb15fe58-b304-45a1-8877-2010fb63079d · outbound
Uncertainty-Guided LLM Semantic Augmentation for Heterogeneous Treatment Effect Estimation 12 Uncertainty-Guided LLM Semantic Augmentation for Heterogeneous Treatment Effect Estimation
Reference 53
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Observation 5ed14ebd-0f44-4968-89fa-0226a686f849 · outbound
Uncertainty-Guided LLM Semantic Augmentation for Heterogeneous Treatment Effect Estimation Unresolved cited work
Reference 54
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Observation d291dbb2-6163-4d7f-8cd1-f7858f0c3c1e · outbound
Uncertainty-Guided LLM Semantic Augmentation for Heterogeneous Treatment Effect Estimation [Goal] Compress these heterogeneity modifiers into a single representation
Reference 55
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Observation 392b7d7f-ef7c-499d-b184-ca4a862b1235 · outbound
Uncertainty-Guided LLM Semantic Augmentation for Heterogeneous Treatment Effect Estimation Unresolved cited work
Reference 56
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Observation ef38c35e-aea3-42c7-8b27-d15875faafd1 · outbound
Uncertainty-Guided LLM Semantic Augmentation for Heterogeneous Treatment Effect Estimation [Goal] Compress these heterogeneity modifiers into a single representation
Reference 57
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Observation a5d300f9-e55e-4f31-b7cf-c294b301f8a2 · outbound
Uncertainty-Guided LLM Semantic Augmentation for Heterogeneous Treatment Effect Estimation This suggests a certain socio-economic standing but does not provide detailed information about income, education, or employment status
Reference 58
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Observation 5354d751-460e-4da9-a92e-9f71013745fd · outbound
Uncertainty-Guided LLM Semantic Augmentation for Heterogeneous Treatment Effect Estimation However, as a new customer, they may still be relatively sensitive to new brand strategies or product changes
Reference 59
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Observation 35deceb8-a5ee-4570-a060-7522c4a430e6 · outbound
Uncertainty-Guided LLM Semantic Augmentation for Heterogeneous Treatment Effect Estimation doi: 10.1145/3534678.3539444
Reference 1797
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Observation 04293d30-442b-450c-a8e3-45b993d10432 · outbound
Uncertainty-Guided LLM Semantic Augmentation for Heterogeneous Treatment Effect Estimation Unresolved cited work
Reference 2024
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No inbound Pith citation observations are available.