Paper Citation Record · LEDGER

Out-of-Sample Hydrocarbon Production Forecasting: Time Series Machine Learning using Productivity Index-Driven Features and Inductive Conformal Prediction

As of 16 August 2026, this Paper Citation Record lists 31 of 31 outbound references and 0 inbound Pith citation observations for arXiv:2508.14078.

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

pith.paper-citation-record.v1
2508.14078 v1

Coverage vector

measured 31 of 31 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T21:14:14.322520Z

measured 31 of 31 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+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

31 of 31 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation f3da11c3-7670-42d4-8c4b-92d22fd5c56c · outbound

This paper cites SimCompass: Using deep learning word embeddings to assess cross-level similarity.

Out-of-Sample Hydrocarbon Production Forecasting: Time Series Machine Learning using Productivity Index-Driven Features and Inductive Conformal Prediction SimCompass: Using deep learning word embeddings to assess cross-level similarity

Reference 1

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Observation 68e35af0-5bee-4855-8e47-74caaf66ce76 · outbound

This paper cites Document clustering: A review.�� , 73(11):26–33, July 2013.

Out-of-Sample Hydrocarbon Production Forecasting: Time Series Machine Learning using Productivity Index-Driven Features and Inductive Conformal Prediction Document clustering: A review.�� , 73(11):26–33, July 2013

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T21:14:18.171642Z

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Observation c06bfc05-4444-4b23-bf48-e2a5ae880a2f · outbound

This paper cites Representation learning for very short texts using weighted word embedding aggregation.

Out-of-Sample Hydrocarbon Production Forecasting: Time Series Machine Learning using Productivity Index-Driven Features and Inductive Conformal Prediction Representation learning for very short texts using weighted word embedding aggregation

Reference 3

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Observation f93add37-ee58-44b4-a45b-a9f453f8fa6c · outbound

This paper cites Text similarity estimation based on word embeddings and matrix norms for targeted marketing.

Out-of-Sample Hydrocarbon Production Forecasting: Time Series Machine Learning using Productivity Index-Driven Features and Inductive Conformal Prediction Text similarity estimation based on word embeddings and matrix norms for targeted marketing

Reference 4

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Observation dae00ceb-2c6c-4d2f-98de-b1b5d832301e · outbound

This paper cites API design for machine learning software: experiences from the scikit-learn project.

Out-of-Sample Hydrocarbon Production Forecasting: Time Series Machine Learning using Productivity Index-Driven Features and Inductive Conformal Prediction API design for machine learning software: experiences from the scikit-learn project

Reference 5

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Observation 1a413f73-1a88-43e2-b72d-4cbde28a6a8d · outbound

This paper cites BERT: Pre-training of deep bidirectional transformers for language un- derstanding, 2019.

Out-of-Sample Hydrocarbon Production Forecasting: Time Series Machine Learning using Productivity Index-Driven Features and Inductive Conformal Prediction BERT: Pre-training of deep bidirectional transformers for language un- derstanding, 2019

Reference 6

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Observation d7b212d0-2366-488b-9fd2-58843009992a · outbound

This paper cites Dhillon, Yuqiang Guan, and Brian Kulis.

Out-of-Sample Hydrocarbon Production Forecasting: Time Series Machine Learning using Productivity Index-Driven Features and Inductive Conformal Prediction Dhillon, Yuqiang Guan, and Brian Kulis

Reference 7

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This paper cites Measuring text similarity based on structure and word embedding.

Out-of-Sample Hydrocarbon Production Forecasting: Time Series Machine Learning using Productivity Index-Driven Features and Inductive Conformal Prediction Measuring text similarity based on structure and word embedding

Reference 8

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Observation 00b6189b-a9ed-49e5-8f2b-28e59c463b6d · outbound

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Out-of-Sample Hydrocarbon Production Forecasting: Time Series Machine Learning using Productivity Index-Driven Features and Inductive Conformal Prediction Unresolved cited work

Reference 9

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Observation 9981a438-90bf-424a-a4e4-0a275a8ecf1c · outbound

This paper cites Harris, K.

Out-of-Sample Hydrocarbon Production Forecasting: Time Series Machine Learning using Productivity Index-Driven Features and Inductive Conformal Prediction Harris, K

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T21:14:17.207548Z

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Observation 088ff5f9-62ee-474d-8e00-8deaf99eb8c4 · outbound

This paper cites Convolutional neural network architectures for matching natural language sentences.

Out-of-Sample Hydrocarbon Production Forecasting: Time Series Machine Learning using Productivity Index-Driven Features and Inductive Conformal Prediction Convolutional neural network architectures for matching natural language sentences

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T21:14:17.066788Z

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Observation 85d71f31-ad16-409c-a7ef-7d0e7e5b9de1 · outbound

This paper cites Short text similarity with word em- beddings.

Out-of-Sample Hydrocarbon Production Forecasting: Time Series Machine Learning using Productivity Index-Driven Features and Inductive Conformal Prediction Short text similarity with word em- beddings

Reference 12

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Observation 7393c3c8-0047-4576-88b5-6fdf92d66086 · outbound

This paper cites clustering4docs github repository,.

Out-of-Sample Hydrocarbon Production Forecasting: Time Series Machine Learning using Productivity Index-Driven Features and Inductive Conformal Prediction clustering4docs github repository,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T21:14:16.827524Z

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Observation 24a79b89-ab21-4da3-99c6-a6226474c3d4 · outbound

This paper cites Improving spherical k-means for document clustering: Fast initialization, sparse centroid pro- jection, and efficient cluster labeling.

Out-of-Sample Hydrocarbon Production Forecasting: Time Series Machine Learning using Productivity Index-Driven Features and Inductive Conformal Prediction Improving spherical k-means for document clustering: Fast initialization, sparse centroid pro- jection, and efficient cluster labeling

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T21:14:16.593297Z

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Observation bbaea19e-f46d-40d9-8db1-2aea0513912a · outbound

This paper cites Kłopotek, and Sławomir T.

Out-of-Sample Hydrocarbon Production Forecasting: Time Series Machine Learning using Productivity Index-Driven Features and Inductive Conformal Prediction Kłopotek, and Sławomir T

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T21:14:16.449842Z

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Observation 75c09938-ab0d-47c1-b900-35f7791a6a65 · outbound

This paper cites Kłopotek, Sławomir T.

Out-of-Sample Hydrocarbon Production Forecasting: Time Series Machine Learning using Productivity Index-Driven Features and Inductive Conformal Prediction Kłopotek, Sławomir T

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T21:14:16.213611Z

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Observation 897f9859-765c-4926-be54-0fe2aaff95e6 · outbound

This paper cites An Empirical Evaluation of doc2vec with Practical Insights into Document Embedding Generation.

Out-of-Sample Hydrocarbon Production Forecasting: Time Series Machine Learning using Productivity Index-Driven Features and Inductive Conformal Prediction An Empirical Evaluation of doc2vec with Practical Insights into Document Embedding Generation

Reference 17

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Out-of-Sample Hydrocarbon Production Forecasting: Time Series Machine Learning using Productivity Index-Driven Features and Inductive Conformal Prediction Unresolved cited work

Reference 18

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Observation 96e973c5-54c9-40e2-aab2-d6dd762abfda · outbound

This paper cites A tutorial on spectral clustering.�� , 17(4):395–416, 2007.

Out-of-Sample Hydrocarbon Production Forecasting: Time Series Machine Learning using Productivity Index-Driven Features and Inductive Conformal Prediction A tutorial on spectral clustering.�� , 17(4):395–416, 2007

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T21:14:15.885247Z

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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 83823971-c285-4e09-bc98-59f7f8e76471 · outbound

This paper cites LIM-LIG at SemEval-2017 task1: Enhancing the semantic similarity for Arabic sen- tences with vectors weighting.

Out-of-Sample Hydrocarbon Production Forecasting: Time Series Machine Learning using Productivity Index-Driven Features and Inductive Conformal Prediction LIM-LIG at SemEval-2017 task1: Enhancing the semantic similarity for Arabic sen- tences with vectors weighting

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T21:14:15.728241Z

Source-reported events for the cited work

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Observation 9fa05e26-d234-48d3-8375-5bdda1b3489d · outbound

This paper cites GloVe: Global vectors for word representation.

Out-of-Sample Hydrocarbon Production Forecasting: Time Series Machine Learning using Productivity Index-Driven Features and Inductive Conformal Prediction GloVe: Global vectors for word representation

Reference 21

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Observation 0c2fcf8d-5274-408d-af0c-bf84d5f9358e · outbound

This paper cites word2vec Parameter Learning Explained.

Out-of-Sample Hydrocarbon Production Forecasting: Time Series Machine Learning using Productivity Index-Driven Features and Inductive Conformal Prediction word2vec Parameter Learning Explained

Reference 22

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This paper cites Salton, A.

Out-of-Sample Hydrocarbon Production Forecasting: Time Series Machine Learning using Productivity Index-Driven Features and Inductive Conformal Prediction Salton, A

Reference 23

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Observation a71aa337-3a6a-4030-9024-98d7d3210d64 · outbound

This paper cites Manning, and Andrew Y.

Out-of-Sample Hydrocarbon Production Forecasting: Time Series Machine Learning using Productivity Index-Driven Features and Inductive Conformal Prediction Manning, and Andrew Y

Reference 24

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Observation f79fa65f-85a8-4d85-b6b5-3a2c17333b69 · outbound

This paper cites Kłopotek, and Sławomir T.

Out-of-Sample Hydrocarbon Production Forecasting: Time Series Machine Learning using Productivity Index-Driven Features and Inductive Conformal Prediction Kłopotek, and Sławomir T

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T21:14:15.092661Z

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Observation fdea0775-9ab4-490b-9c60-91922d93325a · outbound

This paper cites Kłopotek, Sławomir T.

Out-of-Sample Hydrocarbon Production Forecasting: Time Series Machine Learning using Productivity Index-Driven Features and Inductive Conformal Prediction Kłopotek, Sławomir T

Reference 26

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Observation c70bc930-326a-4b9b-96bf-019ac86183dc · outbound

This paper cites Oliphant, et al.

Out-of-Sample Hydrocarbon Production Forecasting: Time Series Machine Learning using Productivity Index-Driven Features and Inductive Conformal Prediction Oliphant, et al

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T21:14:14.967268Z

Source-reported events for the cited work

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Observation 9b80062d-a72b-4ac2-861c-8f98a95e3589 · outbound

This paper cites Wierzchoń and M.A.

Out-of-Sample Hydrocarbon Production Forecasting: Time Series Machine Learning using Productivity Index-Driven Features and Inductive Conformal Prediction Wierzchoń and M.A

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T21:14:14.827428Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation d0f2b5e4-692d-4b6c-bd09-93578fdd5479 · outbound

This paper cites Effective and efficient spectral clustering on text and link data.

Out-of-Sample Hydrocarbon Production Forecasting: Time Series Machine Learning using Productivity Index-Driven Features and Inductive Conformal Prediction Effective and efficient spectral clustering on text and link data

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T21:14:14.712653Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 1ce21c50-4404-4266-b755-a58087b87462 · outbound

This paper cites From word embeddings to document similarities for improved information retrieval in software engineering.

Out-of-Sample Hydrocarbon Production Forecasting: Time Series Machine Learning using Productivity Index-Driven Features and Inductive Conformal Prediction From word embeddings to document similarities for improved information retrieval in software engineering

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T21:14:14.589684Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation ce09fc87-56db-46a7-9f5c-02247442e9f6 · outbound

This paper cites an unresolved cited work.

Out-of-Sample Hydrocarbon Production Forecasting: Time Series Machine Learning using Productivity Index-Driven Features and Inductive Conformal Prediction Unresolved cited work

Reference 2020

Resolution: unresolved; raw_fallback, observed 2026-08-05T21:14:16.695757Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Pith citing papers

No inbound Pith citation observations are available.