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Paper Citation Record · LEDGER

Learning Predictive Checklists with Probabilistic Logic Programming

As of 21 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 2026-08-21T06:32:19.484+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 2026-08-21T06:32:19.484+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
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-12T13:31:33.407096Z digest=sha256:cdc49d82ddec360e7a3ccfe7de3d83672a6be265c644a5cdd1b629326c47ab3d

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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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

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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
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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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
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-12T13:31:33.426870Z digest=sha256:20d2a30944e3800a7a74a9deff5e18b50498eb617248479f453fc77258929904

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

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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 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-12T13:31:33.431547Z digest=sha256:f5d768eeac8fd1ff2e910124ecda15a47c447d60a596aba1a846e9d6a5b6a10e

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 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-12T13:31:33.435743Z digest=sha256:6d03035b4d63bcf8ae32c0bed81703cc66ff15c05a52abf4f939723a2154f954

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

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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 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-12T13:31:33.439893Z digest=sha256:8dcfb01c88d26ea7084c0568f0f925770adf80e31eeb58c4786fa93447463fa5

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 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-12T13:31:33.444266Z digest=sha256:6c892aa93dee2a5533d00997624fa8bb4cba2a614c80d4b0dcf2010194e1962b

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

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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 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-12T13:31:33.449083Z digest=sha256:d1ceaa3eed49e8a740c2f4e2969dbbddd181da86a5826ee8c5d80066a139c336

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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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 2026-08-21T06:32:19.484+00:00.

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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 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-12T13:31:33.466231Z digest=sha256:cdf9a24e32555de12065c3d2a570138c19691568b56081e600bf10b5558b965a

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
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-12T13:31:33.470581Z digest=sha256:940c61ff84a4f159916d59b69560b16eb9fb5d8d1fa1f2281bf117a236542b73

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
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-12T13:31:33.474989Z digest=sha256:65f38c95f180f5ab6db328a97adbdbd5e3d0ae576c668dba118b9c2be16094a8

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
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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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 2026-08-21T06:32:19.484+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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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T13:31:33.488130Z digest=sha256:82548cfd8e9e5f45a3dab33456a1a772469c70374ce4e15636391e4eff02ba38

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 2026-08-21T06:32:19.484+00:00.

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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 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-12T13:31:33.497292Z digest=sha256:af814eda9b3166cda6b05862c9d86c56cf062b709d75789f1b177ceaa819bba2

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 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-12T13:31:33.501465Z digest=sha256:1e5b79ab0ef24f8f0043e184de7ffbcc0e3b2bc30d4e25febe5b271049242a48

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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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
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-12T13:31:33.509951Z digest=sha256:2104a49f2e27cde8e417d746928a2822137c8b37c207851623e2dff1eeadc44f

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
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-12T13:31:33.514599Z digest=sha256:e59891e51788575da1677b1ebbd8b8b8ef58d128ef5d8821a2023ad3bc30d3ff

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 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-12T13:31:33.518816Z digest=sha256:8e6f09ca2b93fd752e2a8f265edf8930fd5da8ccb6b338f8e22d2da1170d25db

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 2026-08-21T06:32:19.484+00:00.

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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 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-12T13:31:33.527680Z digest=sha256:aaaaecb0db4a92f1c0fa9f84faaa79798d06b7a3ec11aaf5cfa081328d8be1eb

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 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-12T13:31:33.540732Z digest=sha256:a4ce098ebcafed9d451feb006921d12cfcefdea4f04b4cfadb8737a4da81458f

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

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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 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-12T13:31:33.545109Z digest=sha256:2dbd63e9b8842c100944029d0d874c6d32cf9625f35aea9187f6f64dac15a1fe

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

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unresolved
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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

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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

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-12T13:31:33.562451Z digest=sha256:2b2dbec6d9e00c20d0ee86a0df47c483743054923789742413a2ef0b6deffefb

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 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-12T13:31:33.566758Z digest=sha256:57475c282138f24406a0885a84eeb8797c5f2d98c4689ca68b409230be13effa

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 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-12T13:31:33.570925Z digest=sha256:505f067091466641a6d20186e0df9cccb356053be176ae81559d8e8cf1bfafc9

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

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-12T13:31:33.575108Z digest=sha256:42e2a1289a5ce668f40e5b538d08d2c564056b0a5841b7884af8d9fe3392244b

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

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source=arxiv_source observed=2026-08-12T13:31:33.579598Z digest=sha256:7fd57b65938312a2ff1123d0488be747980a41b76e145e10994a32b0c77fc220

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 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-12T13:31:33.583874Z digest=sha256:9c13a9bbd23a1834e1952798681d46a36083a07c4aa274f64d2dcc2f3e67fd49

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

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

Pith citing papers

No inbound Pith citation observations are available.