Paper Citation Record · LEDGER

Retrieval-Augmented Interpretable Learning: Towards Task-Specific Zero-Shot Models in Healthcare

As of 7 August 2026, this Paper Citation Record lists 29 of 29 outbound references and 0 inbound Pith citation observations for arXiv:2607.17508.

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

pith.paper-citation-record.v1
2607.17508 v2

Coverage vector

measured 29 of 29 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-04T01:42:00.788165Z

measured 29 of 29 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+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

29 of 29 outbound references displayed

verified exact0
verified fuzzy0
unresolved29
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malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation d3108d0d-85f6-4e57-bc68-d7dcd0108d58 · outbound

This paper cites Meta-learning in neural networks: A survey.IEEE transactions on pattern analysis and machine intelligence, 44(9):5149–5169, 2021.

Retrieval-Augmented Interpretable Learning: Towards Task-Specific Zero-Shot Models in Healthcare Meta-learning in neural networks: A survey.IEEE transactions on pattern analysis and machine intelligence, 44(9):5149–5169, 2021

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-04T01:41:58.155185Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 56198a20-9574-4966-bf2b-550538f5144b · outbound

This paper cites Contextualized Machine Learning.

Retrieval-Augmented Interpretable Learning: Towards Task-Specific Zero-Shot Models in Healthcare Contextualized Machine Learning

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-04T01:41:58.216672Z

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Observation 4798c9fc-3301-47c0-9d89-e60dbfc2f1a9 · outbound

This paper cites Learning to estimate sample-specific transcriptional networks for 7,000 tumors.Proceedings of the National Academy of Sciences, 122(21):e2411930122, 2025.

Retrieval-Augmented Interpretable Learning: Towards Task-Specific Zero-Shot Models in Healthcare Learning to estimate sample-specific transcriptional networks for 7,000 tumors.Proceedings of the National Academy of Sciences, 122(21):e2411930122, 2025

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-04T01:41:58.304871Z

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Observation 49c605b2-5b4c-4cd8-8445-3e7731221156 · outbound

This paper cites Contextualized policy recovery: Modeling and interpreting medical decisions with adaptive imitation learning.

Retrieval-Augmented Interpretable Learning: Towards Task-Specific Zero-Shot Models in Healthcare Contextualized policy recovery: Modeling and interpreting medical decisions with adaptive imitation learning

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-04T01:41:58.389892Z

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Observation 8e549efe-59a6-4f22-b57e-d0b694084226 · outbound

This paper cites Large language models in medicine.Nature medicine, 29(8):1930–1940, 2023.

Retrieval-Augmented Interpretable Learning: Towards Task-Specific Zero-Shot Models in Healthcare Large language models in medicine.Nature medicine, 29(8):1930–1940, 2023

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-04T01:41:58.455238Z

Source-reported events for the cited work

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Observation ecdd2500-080c-4764-a48e-671f2d61f929 · outbound

This paper cites Guiding pretraining in reinforcement learning with large language models, 2023.

Retrieval-Augmented Interpretable Learning: Towards Task-Specific Zero-Shot Models in Healthcare Guiding pretraining in reinforcement learning with large language models, 2023

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-04T01:41:58.511800Z

Source-reported events for the cited work

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Observation f687aafc-a765-41ce-b45f-5299cea66c75 · outbound

This paper cites Lagr-seq: Language-guided reinforcement learning with sample-efficient querying, 2023.

Retrieval-Augmented Interpretable Learning: Towards Task-Specific Zero-Shot Models in Healthcare Lagr-seq: Language-guided reinforcement learning with sample-efficient querying, 2023

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-04T01:41:58.583695Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f1acff7d-7cce-4ac8-bccf-ddc11869fa0d · outbound

This paper cites Adarefiner: Refining decisions of language models with adaptive feedback, 2024.

Retrieval-Augmented Interpretable Learning: Towards Task-Specific Zero-Shot Models in Healthcare Adarefiner: Refining decisions of language models with adaptive feedback, 2024

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-04T01:41:58.660379Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 798ccd7b-db0e-471f-b3e4-dcc0b384980a · outbound

This paper cites Zero-shot robustification of zero-shot models, 2024.

Retrieval-Augmented Interpretable Learning: Towards Task-Specific Zero-Shot Models in Healthcare Zero-shot robustification of zero-shot models, 2024

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-04T01:41:58.737463Z

Source-reported events for the cited work

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Observation 45a5d0f7-0eee-4d98-9575-fd28cae9862f · outbound

This paper cites Causal discovery with language models as imperfect experts, 2023.

Retrieval-Augmented Interpretable Learning: Towards Task-Specific Zero-Shot Models in Healthcare Causal discovery with language models as imperfect experts, 2023

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-04T01:41:58.836464Z

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Observation 96fe67f4-6d95-45e7-b851-fbe8292bd7cb · outbound

This paper cites Discovery of the hidden world with large language models, 2024.

Retrieval-Augmented Interpretable Learning: Towards Task-Specific Zero-Shot Models in Healthcare Discovery of the hidden world with large language models, 2024

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-04T01:41:58.926102Z

Source-reported events for the cited work

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Observation 07bca59d-dd06-49c8-96b3-14df5c8ec33a · outbound

This paper cites Health-LLM: Personalized Retrieval-Augmented Disease Prediction System.

Retrieval-Augmented Interpretable Learning: Towards Task-Specific Zero-Shot Models in Healthcare Health-LLM: Personalized Retrieval-Augmented Disease Prediction System

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-04T01:41:59.015368Z

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Observation 28e67ad4-dcb9-4b09-9558-510fb4842ae4 · outbound

This paper cites Attention is all you need.Advances in neural information processing systems, 30, 2017.

Retrieval-Augmented Interpretable Learning: Towards Task-Specific Zero-Shot Models in Healthcare Attention is all you need.Advances in neural information processing systems, 30, 2017

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-04T01:41:59.149559Z

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Observation a3310fad-d879-466f-a263-e21bb437847e · outbound

This paper cites Mimic-iv, a freely accessible electronic health record dataset.Scientific data, 10(1):1, 2023.

Retrieval-Augmented Interpretable Learning: Towards Task-Specific Zero-Shot Models in Healthcare Mimic-iv, a freely accessible electronic health record dataset.Scientific data, 10(1):1, 2023

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-04T01:41:59.248313Z

Source-reported events for the cited work

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Observation eca6a30a-da6b-414d-a9fb-b1004353e091 · outbound

This paper cites What clinicians want: contextualizing explainable machine learning for clinical end use.

Retrieval-Augmented Interpretable Learning: Towards Task-Specific Zero-Shot Models in Healthcare What clinicians want: contextualizing explainable machine learning for clinical end use

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-04T01:41:59.395029Z

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Observation 614ef89c-91f9-4865-ac26-ddf446d09cfb · outbound

This paper cites Learning sample-specific models with low-rank personalized regression.Advances in Neural Information Processing Systems, 32, 2019.

Retrieval-Augmented Interpretable Learning: Towards Task-Specific Zero-Shot Models in Healthcare Learning sample-specific models with low-rank personalized regression.Advances in Neural Information Processing Systems, 32, 2019

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-04T01:41:59.512224Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bdda3a48-7f0c-4a16-a0e1-5e57e96c7106 · outbound

This paper cites Meta-learning approaches for causal discovery in dynamic healthcare and robotics environments.Mesopotamian Journal of Artificial Intelligence in Healthcare, 2025:136–153, 2025.

Retrieval-Augmented Interpretable Learning: Towards Task-Specific Zero-Shot Models in Healthcare Meta-learning approaches for causal discovery in dynamic healthcare and robotics environments.Mesopotamian Journal of Artificial Intelligence in Healthcare, 2025:136–153, 2025

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-04T01:41:59.647408Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 09eea336-5c16-4234-9ac2-f5de345066fc · outbound

This paper cites Metapred: Meta- learning for clinical risk prediction with limited patient electronic health records.

Retrieval-Augmented Interpretable Learning: Towards Task-Specific Zero-Shot Models in Healthcare Metapred: Meta- learning for clinical risk prediction with limited patient electronic health records

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-04T01:41:59.716030Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 74582968-21a6-4bf5-bf7c-74ac1a9cbfde · outbound

This paper cites Metacare++: Meta-learning with hierarchical subtyping for cold-start diagnosis prediction in healthcare data.

Retrieval-Augmented Interpretable Learning: Towards Task-Specific Zero-Shot Models in Healthcare Metacare++: Meta-learning with hierarchical subtyping for cold-start diagnosis prediction in healthcare data

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-04T01:41:59.781513Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 778f473a-4772-4e12-b459-577b9b4f38c5 · outbound

This paper cites Retrieval-augmented generation for knowledge-intensive nlp tasks.Advances in Neural Information Processing Systems, 33:9459–9474, 2020.

Retrieval-Augmented Interpretable Learning: Towards Task-Specific Zero-Shot Models in Healthcare Retrieval-augmented generation for knowledge-intensive nlp tasks.Advances in Neural Information Processing Systems, 33:9459–9474, 2020

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-04T01:41:59.843185Z

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Observation 0c978454-9bf7-49eb-b6fe-fa4f53645fcc · outbound

This paper cites Retrieval-Augmented Generation for Large Language Models: A Survey.

Retrieval-Augmented Interpretable Learning: Towards Task-Specific Zero-Shot Models in Healthcare Retrieval-Augmented Generation for Large Language Models: A Survey

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-04T01:41:59.982479Z

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Unavailable: canonical work link unavailable.

Observation 0b48225b-f2da-42cb-96e4-b2e660e20f22 · outbound

This paper cites Prism: Enhancing protein inverse folding through fine-grained retrieval on structure-sequence multimodal representations.arXiv preprint arXiv:2510.11750, 2025.

Retrieval-Augmented Interpretable Learning: Towards Task-Specific Zero-Shot Models in Healthcare Prism: Enhancing protein inverse folding through fine-grained retrieval on structure-sequence multimodal representations.arXiv preprint arXiv:2510.11750, 2025

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-04T01:42:00.103415Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cca017e9-4f91-4cc0-a71f-605139226730 · outbound

This paper cites Bioadapt- mrc: adversarial learning-based domain adaptation improves biomedical machine reading comprehension task.Bioinformatics, 38(18):4369–4379, 2022.

Retrieval-Augmented Interpretable Learning: Towards Task-Specific Zero-Shot Models in Healthcare Bioadapt- mrc: adversarial learning-based domain adaptation improves biomedical machine reading comprehension task.Bioinformatics, 38(18):4369–4379, 2022

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-04T01:42:00.172385Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 00b42bcf-746f-4dd0-905c-bf2523f774e0 · outbound

This paper cites Decision transformer: Reinforcement learning via sequence modeling, 2021.

Retrieval-Augmented Interpretable Learning: Towards Task-Specific Zero-Shot Models in Healthcare Decision transformer: Reinforcement learning via sequence modeling, 2021

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-04T01:42:00.272203Z

Source-reported events for the cited work

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Observation cee5f74f-5feb-45d1-a409-32de2bab81b7 · outbound

This paper cites Causal reasoning and large language models: Opening a new frontier for causality, 2024.

Retrieval-Augmented Interpretable Learning: Towards Task-Specific Zero-Shot Models in Healthcare Causal reasoning and large language models: Opening a new frontier for causality, 2024

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-04T01:42:00.340942Z

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Observation 6333a126-c57f-488b-aecc-ad20e86d9f67 · outbound

This paper cites Lmpriors: Pre-trained language models as task-specific priors, 2022.

Retrieval-Augmented Interpretable Learning: Towards Task-Specific Zero-Shot Models in Healthcare Lmpriors: Pre-trained language models as task-specific priors, 2022

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-04T01:42:00.415037Z

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Observation 98a1f923-edba-4014-bce7-405eea00b07b · outbound

This paper cites Pre-trained language models for interactive decision-making.Advances in Neural Information Processing Systems, 35:31199–31212, 2022.

Retrieval-Augmented Interpretable Learning: Towards Task-Specific Zero-Shot Models in Healthcare Pre-trained language models for interactive decision-making.Advances in Neural Information Processing Systems, 35:31199–31212, 2022

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-04T01:42:00.532235Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 51245037-3f98-435c-aed8-0447cb89d3df · outbound

This paper cites Efficient reinforcement learning with large language model priors.

Retrieval-Augmented Interpretable Learning: Towards Task-Specific Zero-Shot Models in Healthcare Efficient reinforcement learning with large language model priors

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-04T01:42:00.647318Z

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Observation 92d54cd5-f1bf-4f11-abde-bce2446a72b9 · outbound

This paper cites Respiratory Ventilation, 24–96 Consecutive Hours,.

Retrieval-Augmented Interpretable Learning: Towards Task-Specific Zero-Shot Models in Healthcare Respiratory Ventilation, 24–96 Consecutive Hours,

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-04T01:42:00.788165Z

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Pith citing papers

No inbound Pith citation observations are available.