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Paper Citation Record · LEDGER

Learning Predictive Checklists with Probabilistic Logic Programming

As of 12 August 2026, this Paper Citation Record lists 43 of 43 outbound references and 0 inbound Pith citation observations for arXiv:2411.16790.

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

pith.paper-citation-record.v1
2411.16790 v1

Coverage vector

measured 43 of 43 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T13:31:33.588061Z

measured 43 of 43 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+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

43 of 43 outbound references displayed

  • verified exact4
  • verified fuzzy27
  • unresolved12
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation c48157f9-093a-44fb-801a-03b98317b56f · outbound

This paper cites Interpretable machine learning in healthcare.

Learning Predictive Checklists with Probabilistic Logic Programming Interpretable machine learning in healthcare

Reference 1

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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 2026-08-12T06:34:41.77262+00:00.

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Observation 659c0d0d-fa35-4783-9d26-186c52ea31eb · outbound

This paper cites SIMPLE : A gradient estimator for \ k\ -subset sampling.

Learning Predictive Checklists with Probabilistic Logic Programming SIMPLE : A gradient estimator for \ k\ -subset sampling

Reference 2

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verified fuzzy
raw_fallback, observed 2026-08-12T13:31:34.829070Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-12T13:31:33.407096Z digest=sha256:a1c21999439de1eefb12998adafaeffe49a81f4ae9eb57c7386014e90759e2c3

Observation 561a1af5-1442-49d2-b235-f45852bd5939 · outbound

This paper cites Publicly available clinical BERT embeddings.

Learning Predictive Checklists with Probabilistic Logic Programming Publicly available clinical BERT embeddings

Reference 3

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no resolver link, observed 2026-08-12T13:31:33.411840Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T13:31:33.411840Z digest=sha256:6178987f4e4836acd94b9d9e7c5f6db1ac3c5e19e7464f7721212b5a0701b129

Observation 33abe5aa-fa0c-40bc-a247-ae1645101cc8 · outbound

This paper cites Explainable artificial intelligence (xai): Concepts, taxonomies, opportunities and challenges toward responsible ai.

Learning Predictive Checklists with Probabilistic Logic Programming Explainable artificial intelligence (xai): Concepts, taxonomies, opportunities and challenges toward responsible ai

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-12T13:31:33.416839Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T13:31:33.416839Z digest=sha256:090b2506f6ad4b84b08f02a63f4f019c56c8f3e246f65ba03110ac46bbab2c1c

Observation ea83087f-7119-4a1a-be95-cff2daefe9ba · outbound

This paper cites Towards Explainable Neural-Symbolic Visual Reasoning.

Learning Predictive Checklists with Probabilistic Logic Programming Towards Explainable Neural-Symbolic Visual Reasoning

Reference 5

Resolution
verified exact
local_arxiv, observed 2026-08-12T13:31:34.403384Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-12T13:31:33.421582Z digest=sha256:c009fe4ae95738543cf57b44b6db09e3b4f2954c9c5802e2b9c435c4f891f09b

Observation ad9e09e0-a42e-4d03-b1bd-ff7ebaaba2dd · outbound

This paper cites The measure and mismeasure of fairness: A critical review of fair machine learning, 2018.

Learning Predictive Checklists with Probabilistic Logic Programming The measure and mismeasure of fairness: A critical review of fair machine learning, 2018

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T13:31:34.806064Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-12T13:31:33.426870Z digest=sha256:d4e49f6759bf4bf0693050148a37cf3b1593579efee84e371c3ac5d4236c8a9c

Observation cab1a9e7-5f76-42f7-9f4f-5f6c8744bf07 · outbound

This paper cites The potential for artificial intelligence in healthcare.

Learning Predictive Checklists with Probabilistic Logic Programming The potential for artificial intelligence in healthcare

Reference 7

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-12T13:31:33.431547Z digest=sha256:e14cbb790e74293c87a64e6ad04b159193fe3c020df46d876cc9bcf829916e75

Observation b3c6365b-94c1-4695-986b-c553fffe9e97 · outbound

This paper cites Predicting the impact of treatments over time with uncertainty aware neural differential equations.

Learning Predictive Checklists with Probabilistic Logic Programming Predicting the impact of treatments over time with uncertainty aware neural differential equations

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T13:31:34.776628Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-12T13:31:33.435743Z digest=sha256:ed8035885eaa12e1a4e73ebcb8cf2dec5db5c042f8579b0dd5760c6e08d1d6e0

Observation 45ab6a53-ca03-4e1f-a9f1-087a5310305b · outbound

This paper cites Probabilistic (logic) programming concepts.

Learning Predictive Checklists with Probabilistic Logic Programming Probabilistic (logic) programming concepts

Reference 9

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-12T13:31:33.439893Z digest=sha256:747298872f3c25316088beb1a03429a655626935ec3173a11fd3a7dc84dcb05d

Observation 56830c1f-37ef-4192-91d5-3c978b632695 · outbound

This paper cites Techniques for interpretable machine learning.

Learning Predictive Checklists with Probabilistic Logic Programming Techniques for interpretable machine learning

Reference 10

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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 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-12T13:31:33.444266Z digest=sha256:8219cc2aa5e970af071fb6e10aa7cf1fd3de72c77702975fa678b9680eb4f1e5

Observation 1e7ff6cf-4957-4d22-a384-cb8edbdcc2ee · outbound

This paper cites A guide to deep learning in healthcare.

Learning Predictive Checklists with Probabilistic Logic Programming A guide to deep learning in healthcare

Reference 11

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-12T13:31:33.449083Z digest=sha256:52254f23d17f207f89b5830a45956f941bef56e2fba0485725ad218c8ef09e36

Observation 5c3073b8-7e79-4b42-a19d-62b6ae5a23eb · outbound

This paper cites Robinson, Jad Farha, Amanda Bradke, Sherita H.

Learning Predictive Checklists with Probabilistic Logic Programming Robinson, Jad Farha, Amanda Bradke, Sherita H

Reference 12

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no resolver link, observed 2026-08-12T13:31:33.453696Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation c83a0dcc-9f99-4f0e-acad-0470095c5221 · outbound

This paper cites The myth of generalisability in clinical research and machine learning in health care.

Learning Predictive Checklists with Probabilistic Logic Programming The myth of generalisability in clinical research and machine learning in health care

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T13:31:34.720618Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-12T13:31:33.457879Z digest=sha256:0c7905a74e21e2b79129a773c0dc3080dd317e67e18795dba9568af864e35d4e

Observation bf1f170f-d6b6-406c-9e62-4330e38657af · outbound

This paper cites A review of challenges and opportunities in machine learning for health.

Learning Predictive Checklists with Probabilistic Logic Programming A review of challenges and opportunities in machine learning for health

Reference 14

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unresolved
no resolver link, observed 2026-08-12T13:31:33.461993Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T13:31:33.461993Z digest=sha256:2ccaad6c871ded07de3bb20ff0c601daedbd0574258597af0bbd0cb2662c3d14

Observation 16826682-4fae-4bd8-b070-3914ff73cbed · outbound

This paper cites Development of medical checklists for improved quality of patient care.

Learning Predictive Checklists with Probabilistic Logic Programming Development of medical checklists for improved quality of patient care

Reference 15

Resolution
verified exact
doi, observed 2026-08-12T13:31:33.647245Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-12T13:31:33.466231Z digest=sha256:59c9568589ca53cbe0f9f3923105d0ae8c6cd809c60639b7423e210ec7b27958

Observation f74693d3-a62f-4e5f-8798-c1028d95cee2 · outbound

This paper cites Development of medical checklists for improved quality of patient care.

Learning Predictive Checklists with Probabilistic Logic Programming Development of medical checklists for improved quality of patient care

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T13:31:34.697314Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-12T13:31:33.470581Z digest=sha256:bbe6577329b5331d2a682d8c929761410996a3d9f4c632c148e899df3b9d60ec

Observation e5880f8d-3ccb-4419-bc7e-a1dd5c74038f · outbound

This paper cites A surgical safety checklist to reduce morbidity and mortality in a global population.

Learning Predictive Checklists with Probabilistic Logic Programming A surgical safety checklist to reduce morbidity and mortality in a global population

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T13:31:34.683895Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-12T13:31:33.474989Z digest=sha256:b689e342780beda9be4cbb9ba46488312079013f0dc9328c59ef2fb7e9992652

Observation 0fa5b21e-438a-44aa-8eba-3a702d8f8daa · outbound

This paper cites TANGOS : Regularizing tabular neural networks through gradient orthogonalization and specialization.

Learning Predictive Checklists with Probabilistic Logic Programming TANGOS : Regularizing tabular neural networks through gradient orthogonalization and specialization

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T13:31:34.670253Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-12T13:31:33.479354Z digest=sha256:5ae44bfd4df26fef12cae22f60856fb9eb8e5fc22f1d1fccba77910c54232640

Observation 1588aafc-63c9-4026-a83d-21623b2f4e0d · outbound

This paper cites Fair multimodal checklists for interpretable clinical time series prediction.

Learning Predictive Checklists with Probabilistic Logic Programming Fair multimodal checklists for interpretable clinical time series prediction

Reference 19

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation a6604b0d-28af-4b92-b693-b2182d66b54a · outbound

This paper cites Johnson, Tom J.

Learning Predictive Checklists with Probabilistic Logic Programming Johnson, Tom J

Reference 20

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unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation a46e2857-2873-4b7c-bad3-a0fc893f9a53 · outbound

This paper cites Learning predictive and interpretable timeseries summaries from icu data.

Learning Predictive Checklists with Probabilistic Logic Programming Learning predictive and interpretable timeseries summaries from icu data

Reference 21

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-12T13:31:33.492811Z digest=sha256:2d0db75e1fc2aeb27b3814c6dbb20a3e69a0beeb0fb159b939a8523871e1c524

Observation 86c0011b-b8f0-4c63-808c-89e765194ebc · outbound

This paper cites Concept bottleneck models.

Learning Predictive Checklists with Probabilistic Logic Programming Concept bottleneck models

Reference 22

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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 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-12T13:31:33.497292Z digest=sha256:fe1333b966375d0e6d83ed8d2c8f183e958535718de651117cac1845064e8e13

Observation de8fb72e-ef53-4d32-8ab1-1064fd85fe52 · outbound

This paper cites Introduction to statistical relational learning.

Learning Predictive Checklists with Probabilistic Logic Programming Introduction to statistical relational learning

Reference 23

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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 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-12T13:31:33.501465Z digest=sha256:44d5deda04476dc68e451f871f5652e78bc6a8db0716a8b67cab5150271e2b06

Observation b733bccb-3e0b-4cae-9491-5d8a3dcae6a7 · outbound

This paper cites Bach, and Jure Leskovec.

Learning Predictive Checklists with Probabilistic Logic Programming Bach, and Jure Leskovec

Reference 24

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unresolved
no resolver link, observed 2026-08-12T13:31:33.505780Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T13:31:33.505780Z digest=sha256:4de55c208dc14cd9034935d117ae7a30d57cb54535cfdbcad0966f4c5b10dc32

Observation 2b8339ac-5b9f-490d-8b89-8ea9632c4289 · outbound

This paper cites Learning predictive checklists from continuous medical data.

Learning Predictive Checklists with Probabilistic Logic Programming Learning predictive checklists from continuous medical data

Reference 25

Resolution
verified exact
local_arxiv, observed 2026-08-12T13:31:33.879230Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-12T13:31:33.509951Z digest=sha256:c7c8cb87192cf50b1ac5d20417c412172c10c0f293dbcbb264437fa036bb66d4

Observation 720a26f5-6010-410b-a56e-6c9a2912e0f1 · outbound

This paper cites Deepproblog: Neural probabilistic logic programming.

Learning Predictive Checklists with Probabilistic Logic Programming Deepproblog: Neural probabilistic logic programming

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T13:31:34.597821Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-12T13:31:33.514599Z digest=sha256:236845366e9f4d65ce9bca526bd6f88aadbd77467cc81cc04732d274ba532368

Observation e028fcfe-96b6-44b6-b0ac-f49fa2e96e5d · outbound

This paper cites Not all neuro-symbolic concepts are created equal: analysis and mitigation of reasoning shortcuts.

Learning Predictive Checklists with Probabilistic Logic Programming Not all neuro-symbolic concepts are created equal: analysis and mitigation of reasoning shortcuts

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T13:31:34.583476Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-12T13:31:33.518816Z digest=sha256:241ade3e270182a9d1feb24efe8cb815526bd05df576fdd92be153aba7d5f2ea

Observation 889e627b-5132-4ede-a001-f7a392220c5d · outbound

This paper cites Definitions, methods, and applications in interpretable machine learning.

Learning Predictive Checklists with Probabilistic Logic Programming Definitions, methods, and applications in interpretable machine learning

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T13:31:34.569095Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-12T13:31:33.523365Z digest=sha256:2f419114c4140ffd2f7bc51aec346b9e65748147c4642e6f23743dedb05598e7

Observation b99962d6-3877-4a5f-baff-6a308bd8c30c · outbound

This paper cites Weakly supervised knowledge transfer with probabilistic logical reasoning for o-object detection.

Learning Predictive Checklists with Probabilistic Logic Programming Weakly supervised knowledge transfer with probabilistic logical reasoning for o-object detection

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T13:31:34.554776Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-12T13:31:33.527680Z digest=sha256:957d8bc5228ccb69a1a8462ca010d7c7c3d5551ab497d76fbf89b325d5100a2e

Observation 3db5409a-3ba6-45ff-8bb1-d58192794118 · outbound

This paper cites Pytorch: An imperative style, high-performance deep learning library.

Learning Predictive Checklists with Probabilistic Logic Programming Pytorch: An imperative style, high-performance deep learning library

Reference 30

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unresolved
no resolver link, observed 2026-08-12T13:31:33.531970Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T13:31:33.531970Z digest=sha256:11fd9483be4448e01e3b796b1c66e1e32b7dd35b9819d8a3e860b657f139a36b

Observation 01a25e8b-9e30-49b0-afff-2fc4da54a810 · outbound

This paper cites A review on fairness in machine learning.

Learning Predictive Checklists with Probabilistic Logic Programming A review on fairness in machine learning

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-12T13:31:33.536374Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T13:31:33.536374Z digest=sha256:731f42f4ed4b17bee7c6a13b65a977daf8179535d408256499128e276a8271c3

Observation 07a330ba-3f05-4054-9b0f-1298642b42b8 · outbound

This paper cites Statistical relational artificial intelligence: Logic, probability, and computation.

Learning Predictive Checklists with Probabilistic Logic Programming Statistical relational artificial intelligence: Logic, probability, and computation

Reference 32

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-12T13:31:33.540732Z digest=sha256:50a2798f06aa71df79fdbaa9a49de0aeec8399f6db29f10d91e3cff3de476e8c

Observation 5561f370-15f7-409a-80fe-3ef828b81f78 · outbound

This paper cites Early prediction of sepsis from clinical data: the physionet/computing in cardiology challenge 2019.

Learning Predictive Checklists with Probabilistic Logic Programming Early prediction of sepsis from clinical data: the physionet/computing in cardiology challenge 2019

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T13:31:34.516970Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-12T13:31:33.545109Z digest=sha256:576eec3822e65e3fe4547f6bc203c70e87ffb68457665ec996663acc25b81153

Observation e0571e58-d678-4268-871d-c3a72cdfaf84 · outbound

This paper cites End-to-end differentiable proving.

Learning Predictive Checklists with Probabilistic Logic Programming End-to-end differentiable proving

Reference 34

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unresolved
no resolver link, observed 2026-08-12T13:31:33.549513Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T13:31:33.549513Z digest=sha256:ed7020ba23655cde8a0a7bb49f15720e4213f63dedef57b06b9fa9ec94d8e779

Observation 1db70483-69eb-47cd-9197-5d27ff99603b · outbound

This paper cites A simple neural network module for relational reasoning.

Learning Predictive Checklists with Probabilistic Logic Programming A simple neural network module for relational reasoning

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-12T13:31:33.553821Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T13:31:33.553821Z digest=sha256:df42bdcde334feb903c82f0d3467be2ae4731c3c5c73c484130a539d30565283

Observation 39dd588b-fb1f-4ebd-9c30-a58757c75572 · outbound

This paper cites Evaluating unsupervised text classification: Zero-shot and similarity-based approaches.

Learning Predictive Checklists with Probabilistic Logic Programming Evaluating unsupervised text classification: Zero-shot and similarity-based approaches

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-12T13:31:33.558365Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T13:31:33.558365Z digest=sha256:8b18322c8e030d4ca89032493b2d15730a9b699f014d6d08f13e757b7820b579

Observation 56ceede6-09f6-44c3-8f04-8bb4ab774144 · outbound

This paper cites Li, Rodrigo Toro Icarte, and Sheila A.

Learning Predictive Checklists with Probabilistic Logic Programming Li, Rodrigo Toro Icarte, and Sheila A

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T13:31:34.483303Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-12T13:31:33.562451Z digest=sha256:8a369a4dfdc27e514e482220540a7437b9d7e5523fee9ff5b7df322e49c4ab8d

Observation 68ebde17-92d1-4f55-8d8d-6039a14e8517 · outbound

This paper cites Mimic-extract: A data extraction, preprocessing, and representation pipeline for mimic-iii.

Learning Predictive Checklists with Probabilistic Logic Programming Mimic-extract: A data extraction, preprocessing, and representation pipeline for mimic-iii

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T13:31:34.469854Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-12T13:31:33.566758Z digest=sha256:8cb3fe33bbf61d0a5544a0f329575e9794b68f352ddeef28de4a0c06fb23c1d1

Observation 96e055b8-1602-4e3b-bbe0-79921548e2d6 · outbound

This paper cites A bayesian framework for learning rule sets for interpretable classification.

Learning Predictive Checklists with Probabilistic Logic Programming A bayesian framework for learning rule sets for interpretable classification

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T13:31:34.455741Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-12T13:31:33.570925Z digest=sha256:b40846c35e8cf6fa0b732badd9ceca65731b5a106fe692f2e310bc5b6d644497

Observation bdb2886b-8e43-4ce0-bc87-dc8771d91e5a · outbound

This paper cites Revisiting Score Function Estimators for $k$-Subset Sampling.

Learning Predictive Checklists with Probabilistic Logic Programming Revisiting Score Function Estimators for $k$-Subset Sampling

Reference 40

Resolution
verified exact
local_arxiv, observed 2026-08-12T13:31:33.676983Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-12T13:31:33.575108Z digest=sha256:bce7d128a12c69c845cd4632fcd4a907e09d8b7ed55857955ec9aeee305cbaae

Observation 5c3640a6-7da9-46ea-b9c7-efa1c6a99eeb · outbound

This paper cites Learning optimal predictive checklists.

Learning Predictive Checklists with Probabilistic Logic Programming Learning optimal predictive checklists

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T13:31:34.441689Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-12T13:31:33.579598Z digest=sha256:7c4103046aa5b9860726bc626fa28d65e5e20bf23eaaf9974db08f2bb5057a17

Observation 8e78a35b-7fdd-40fb-a0df-d3cef2e7820f · outbound

This paper cites Interpretable convolutional neural networks.

Learning Predictive Checklists with Probabilistic Logic Programming Interpretable convolutional neural networks

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T13:31:34.427569Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-12T13:31:33.583874Z digest=sha256:a376b9ab190fbb17e5ffaf2d06269eccb4a9ddc1fbca6e511901eda0d0231f47

Observation fdecb6f6-8034-4eae-9d6f-5425d8efa009 · outbound

This paper cites write newline.

Learning Predictive Checklists with Probabilistic Logic Programming write newline

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-12T13:31:33.588061Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T13:31:33.588061Z digest=sha256:7892f57b08da6ff4548865790db81393ef03dff3450a7b3eb9bd83bca448092b

Pith citing papers

No inbound Pith citation observations are available.