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Paper Citation Record · LEDGER

Multimodal Prescriptive Deep Learning

As of 17 August 2026, this Paper Citation Record lists 35 of 35 outbound references and 0 inbound Pith citation observations for arXiv:2501.14152.

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

pith.paper-citation-record.v1
2501.14152 v1

Coverage vector

measured 35 of 35 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T15:24:40.982809Z

measured 35 of 35 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 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

35 of 35 outbound references displayed

  • verified exact8
  • verified fuzzy17
  • unresolved10
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation bbf02e91-2a81-418d-a821-3eaa1b4651ee · outbound

This paper cites Optimal policy trees.

Multimodal Prescriptive Deep Learning Optimal policy trees

Reference 2

Resolution
verified fuzzy
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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.

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Observation 1b083578-e487-4402-ab9f-47363d577258 · outbound

This paper cites Recursive partitioning for heterogeneous causal effects.

Multimodal Prescriptive Deep Learning Recursive partitioning for heterogeneous causal effects

Reference 3

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no resolver link, observed 2026-08-10T15:24:40.798131Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 2dae7d13-3e99-4e12-8834-e0e4fa23763d · outbound

This paper cites Mack, George Ruiz, Mark S.

Multimodal Prescriptive Deep Learning Mack, George Ruiz, Mark S

Reference 4

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no resolver link, observed 2026-08-10T15:24:40.803514Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 699afc55-2130-4516-85b2-927e158af083 · outbound

This paper cites Janos: an integrated predictive and prescriptive modeling framework.

Multimodal Prescriptive Deep Learning Janos: an integrated predictive and prescriptive modeling framework

Reference 5

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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.

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Observation fee5ab30-f054-4910-8726-57b0be598070 · outbound

This paper cites Optimal classification trees.

Multimodal Prescriptive Deep Learning Optimal classification trees

Reference 6

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verified fuzzy
raw_fallback, observed 2026-08-10T15:24:42.165256Z

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.

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Observation 66ab85ec-ed8e-402b-840d-92438aa23de7 · outbound

This paper cites Machine Learning under a Modern Optimization Lens.

Multimodal Prescriptive Deep Learning Machine Learning under a Modern Optimization Lens

Reference 7

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raw_fallback, observed 2026-08-10T15:24:42.144982Z

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.

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Observation 772932b8-2743-446a-b8b0-25ad5273e526 · outbound

This paper cites From predictive to prescriptive analytics.

Multimodal Prescriptive Deep Learning From predictive to prescriptive analytics

Reference 8

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no resolver link, observed 2026-08-10T15:24:40.825120Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T15:24:40.825120Z digest=sha256:b440d105605df8f0226855a031eb4406e9c0f2ee8c4e52f6ea77e35653df9f6f

Observation bade5ea6-50ae-4024-b8af-46478651fd6f · outbound

This paper cites The power and limits of predictive approaches to observational data-driven optimization: The case of pricing.

Multimodal Prescriptive Deep Learning The power and limits of predictive approaches to observational data-driven optimization: The case of pricing

Reference 9

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raw_fallback, observed 2026-08-10T15:24:41.626664Z

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.

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Observation c0b0046b-569e-4070-8239-666f2af8d56d · outbound

This paper cites Personalized diabetes management using electronic medical records.

Multimodal Prescriptive Deep Learning Personalized diabetes management using electronic medical records

Reference 10

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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=arxiv_source observed=2026-08-10T15:24:40.835154Z digest=sha256:d4a9889b83e6de20e27b7e3e59befa296a70c66a3f6de66977aa9e14147b5d49

Observation d6445388-edaa-4ff9-8eca-e8383732cd97 · outbound

This paper cites From predictive methods to missing data imputation: An optimization approach.

Multimodal Prescriptive Deep Learning From predictive methods to missing data imputation: An optimization approach

Reference 11

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raw_fallback, observed 2026-08-10T15:24:42.123014Z

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=arxiv_source observed=2026-08-10T15:24:40.840213Z digest=sha256:e9b1290f303a01521dc186e32fc665a659b3b5dc3703d6c047148d2e90a969d9

Observation f5f9bc09-2944-4382-8b18-9838175b6f7c · outbound

This paper cites Optimal prescriptive trees.

Multimodal Prescriptive Deep Learning Optimal prescriptive trees

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T15:24:42.098138Z

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.

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Observation 82775f65-463e-4b06-b8e5-9eb9b3992544 · outbound

This paper cites Model distillation for revenue optimization: Interpretable personalized pricing, 2021.

Multimodal Prescriptive Deep Learning Model distillation for revenue optimization: Interpretable personalized pricing, 2021

Reference 13

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raw_fallback, observed 2026-08-10T15:24:42.077152Z

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.

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Observation 87965e4d-a2da-4c67-bb8d-0d29b07f6af8 · outbound

This paper cites Classification and regression trees.

Multimodal Prescriptive Deep Learning Classification and regression trees

Reference 15

Resolution
verified fuzzy
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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.

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Observation a37ea045-7fd7-45ea-8f5e-e9a099c87cc9 · outbound

This paper cites Cleveland and Susan J.

Multimodal Prescriptive Deep Learning Cleveland and Susan J

Reference 16

Resolution
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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.

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Observation db290db8-7fe1-4f45-98cb-4df56111e1be · outbound

This paper cites The difficulty of computing stable and accurate neural networks: On the barriers of deep learning and smale’s 18th problem.

Multimodal Prescriptive Deep Learning The difficulty of computing stable and accurate neural networks: On the barriers of deep learning and smale’s 18th problem

Reference 17

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raw_fallback, observed 2026-08-10T15:24:42.033826Z

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=arxiv_source observed=2026-08-10T15:24:40.869631Z digest=sha256:e03dc933c2d8bd2af2f8a5b3d41e5233517ccfa15d3b5bc14716ff8d05383f1e

Observation 39bcde66-753d-46c4-af07-850a5b5ddece · outbound

This paper cites Doubly Robust Policy Evaluation and Learning.

Multimodal Prescriptive Deep Learning Doubly Robust Policy Evaluation and Learning

Reference 18

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no resolver link, observed 2026-08-10T15:24:40.875343Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T15:24:40.875343Z digest=sha256:323d3c74ece097942697bc31f462e3b2fe39d8a8115ee0e17bdc6952b20a356c

Observation de6c9539-b1ae-4ee8-a5f0-89e768409134 · outbound

This paper cites Causal modeling and inference for electricity markets.

Multimodal Prescriptive Deep Learning Causal modeling and inference for electricity markets

Reference 19

Resolution
verified exact
doi, observed 2026-08-10T15:24:41.096986Z

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.

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Observation 8061272b-5ca2-4170-900d-78ee60199168 · outbound

This paper cites Accuracy of the aast organ injury scale for ct evaluation of traumatic liver and spleen injuries.

Multimodal Prescriptive Deep Learning Accuracy of the aast organ injury scale for ct evaluation of traumatic liver and spleen injuries

Reference 20

Resolution
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raw_fallback, observed 2026-08-10T15:24:42.010530Z

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.

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Observation 9cee052e-3e34-49a5-a599-be98a01c0cc7 · outbound

This paper cites Recursive partitioning for personalization using observational data.

Multimodal Prescriptive Deep Learning Recursive partitioning for personalization using observational data

Reference 21

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raw_fallback, observed 2026-08-10T15:24:41.990921Z

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.

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Observation 8536a2eb-b1fc-463b-bef7-811326c617ac · outbound

This paper cites Prosthesis tailoring for patients undergoing transcatheter aortic valve implantation.

Multimodal Prescriptive Deep Learning Prosthesis tailoring for patients undergoing transcatheter aortic valve implantation

Reference 22

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raw_fallback, observed 2026-08-10T15:24:41.970603Z

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=arxiv_source observed=2026-08-10T15:24:40.899445Z digest=sha256:600f8c33cf9bedb14ce8edb9e040450e0109f52b8002e6b01060fce1453f986d

Observation d4aa3826-c716-43ef-b598-50abf88ec16f · outbound

This paper cites Clinical-Longformer and Clinical-BigBird: Transformers for long clinical sequences.

Multimodal Prescriptive Deep Learning Clinical-Longformer and Clinical-BigBird: Transformers for long clinical sequences

Reference 23

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no resolver link, observed 2026-08-10T15:24:40.904971Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation f271c8ea-f93e-4835-8972-55876d31852c · outbound

This paper cites The complete journey, 2020.

Multimodal Prescriptive Deep Learning The complete journey, 2020

Reference 24

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raw_fallback, observed 2026-08-10T15:24:41.949853Z

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=arxiv_source observed=2026-08-10T15:24:40.910569Z digest=sha256:f4e8794af2e63b133e3102e61a218cc52e6985ca5084684113fc8627e189c300

Observation 09847089-00d9-49e2-b898-a09aab21e43d · outbound

This paper cites Nienaber.

Multimodal Prescriptive Deep Learning Nienaber

Reference 25

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doi, observed 2026-08-10T15:24:41.078097Z

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=arxiv_source observed=2026-08-10T15:24:40.915760Z digest=sha256:0ba7baccdbcbc73bd36ffed00e5d57f3dac61d8e5740cfd7ff5ff233b5d5f82f

Observation b93ca28c-2116-4181-b6bc-c0425d62002d · outbound

This paper cites Applications of 0-1 Neural Networks in Prescription and Prediction.

Multimodal Prescriptive Deep Learning Applications of 0-1 Neural Networks in Prescription and Prediction

Reference 26

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local_arxiv, observed 2026-08-10T15:24:41.385478Z

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=arxiv_source observed=2026-08-10T15:24:40.920944Z digest=sha256:5893b1ad6764aadb2c5d57593e12b486b3824a8e4a0d9a21550a6e0320a9e932

Observation 03ec03a6-dad0-45ff-b3de-4138c1121284 · outbound

This paper cites Shah, Trevor Hastie, and Robert Tibshirani.

Multimodal Prescriptive Deep Learning Shah, Trevor Hastie, and Robert Tibshirani

Reference 27

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no resolver link, observed 2026-08-10T15:24:40.927096Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 32c2f489-e5a2-4c9f-89d9-7747ee5d29f1 · outbound

This paper cites an unresolved cited work.

Multimodal Prescriptive Deep Learning Unresolved cited work

Reference 28

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verified exact
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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=arxiv_source observed=2026-08-10T15:24:40.933369Z digest=sha256:cc3f2d23f95d0789063399e6dc785e95caaa8a68b16dd53c19b76507df648c98

Observation 3f5588e4-2e23-4ad8-a81f-987d52e9dccd · outbound

This paper cites Causal inference with multiple concurrent medications: A comparison of methods and an application in multidrug-resistant tuberculosis.

Multimodal Prescriptive Deep Learning Causal inference with multiple concurrent medications: A comparison of methods and an application in multidrug-resistant tuberculosis

Reference 29

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verified fuzzy
raw_fallback, observed 2026-08-10T15:24:41.927797Z

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.

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Observation c9692c3d-0e62-46a0-ace9-d7b9eee3db21 · outbound

This paper cites Transcatheter versus surgical aortic-valve replacement in high-risk patients.

Multimodal Prescriptive Deep Learning Transcatheter versus surgical aortic-valve replacement in high-risk patients

Reference 30

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verified fuzzy
raw_fallback, observed 2026-08-10T15:24:41.905278Z

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.

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Observation 79ae929d-13d6-4f47-82f5-54bd02e8084e · outbound

This paper cites Soenksen, Yu Ma, Cynthia Zeng, Leonard Boussioux, Kimberly Villalobos Carballo, Liangyuan Na, Holly M.

Multimodal Prescriptive Deep Learning Soenksen, Yu Ma, Cynthia Zeng, Leonard Boussioux, Kimberly Villalobos Carballo, Liangyuan Na, Holly M

Reference 31

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raw_fallback, observed 2026-08-10T15:24:41.886914Z

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.

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Observation 17e3dbfe-35fb-4ed3-82ba-d8ce8898e5c7 · outbound

This paper cites Dropout: a simple way to prevent neural networks from overfitting.

Multimodal Prescriptive Deep Learning Dropout: a simple way to prevent neural networks from overfitting

Reference 32

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no resolver link, observed 2026-08-10T15:24:40.955311Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 2e18e5e0-eb40-4753-b49e-b45097a6bf12 · outbound

This paper cites Learning prescriptive R e LU networks.

Multimodal Prescriptive Deep Learning Learning prescriptive R e LU networks

Reference 33

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verified fuzzy
raw_fallback, observed 2026-08-10T15:24:41.854428Z

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.

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Observation 32a8e948-9e20-439d-9253-c574cea1a4cc · outbound

This paper cites Estimation and inference of heterogeneous treatment effects using random forests.

Multimodal Prescriptive Deep Learning Estimation and inference of heterogeneous treatment effects using random forests

Reference 34

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unresolved
no resolver link, observed 2026-08-10T15:24:40.966919Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T15:24:40.966919Z digest=sha256:864f5717e2a030b8457b553c1e216b32edc938433c617d3c73d96e0ad824d28e

Observation 74ee4210-3cd6-49e7-bec2-11d2861c933c · outbound

This paper cites Webb and David A.

Multimodal Prescriptive Deep Learning Webb and David A

Reference 35

Resolution
verified exact
doi, observed 2026-08-10T15:24:41.025420Z

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=arxiv_source observed=2026-08-10T15:24:40.972220Z digest=sha256:824c988b5c4d5d64d3d15f4d16f952966b8ebd95ac8474c05363944bc2875ad7

Observation 563d2529-0138-4c8e-9a4a-58186db98fc2 · outbound

This paper cites Offline multi-action policy learning: Generalization and optimization.

Multimodal Prescriptive Deep Learning Offline multi-action policy learning: Generalization and optimization

Reference 36

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no resolver link, observed 2026-08-10T15:24:40.977718Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T15:24:40.977718Z digest=sha256:660fce9bf30e662d58aa07016ffccfb0c7fdac286101fd235f82f7d3c62ab8a8

Observation 04094eb1-8fec-40a3-9ec1-2c93ffc1ee1b · outbound

This paper cites write newline.

Multimodal Prescriptive Deep Learning write newline

Reference 37

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no resolver link, observed 2026-08-10T15:24:40.982809Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T15:24:40.982809Z digest=sha256:48a55bd0e48674799d9e7f2e7c8c5ec7d50f8804f73423cc708adbe7315c0903

Pith citing papers

No inbound Pith citation observations are available.