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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

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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

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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

Resolution
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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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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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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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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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.

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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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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:cb5a1e71cdbeb2b1988ff2dc42aa198077bd91395749bd12fdc43a638ad4656c

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

This paper cites Optimal prescriptive trees.

Multimodal Prescriptive Deep Learning Optimal prescriptive trees

Reference 12

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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 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

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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.

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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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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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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

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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.

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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

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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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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 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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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=sha256:4fd3400af43e20aab9f6e20f54c02828928c554acb3c766b7e70197ae8ec33f6

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.

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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.

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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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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 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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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.

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

This paper cites Webb and David A.

Multimodal Prescriptive Deep Learning Webb and David A

Reference 35

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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.

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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:b897829ac3948c917559154581f6c807eade6a0fe441986f1d1aedcfd5d3fa23

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.

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Pith citing papers

No inbound Pith citation observations are available.