Paper Citation Record · LEDGER

On Using Machine Learning to Identify Knowledge in API Reference Documentation

As of 22 August 2026, this Paper Citation Record lists 48 of 48 outbound references and 0 inbound Pith citation observations for arXiv:1907.09807.

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

pith.paper-citation-record.v1
1907.09807 v1

Coverage vector

measured 48 of 48 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-24T17:22:08.436340Z

measured 48 of 48 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+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

48 of 48 outbound references displayed

verified exact2
verified fuzzy46
unresolved0
parse uncertain0
malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 8cdcbe8a-f6ca-4d2a-a977-7caba58151b1 · outbound

This paper cites A ﬁeld study of API learning obstacles.

On Using Machine Learning to Identify Knowledge in API Reference Documentation A ﬁeld study of API learning obstacles

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T17:24:45.944467Z

Source-reported events for the cited work

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Observation bec27b21-b742-46ac-b3d7-cafebcf84d5d · outbound

This paper cites Improving api documentation usability with knowledge pushing.

On Using Machine Learning to Identify Knowledge in API Reference Documentation Improving api documentation usability with knowledge pushing

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T17:24:45.966412Z

Source-reported events for the cited work

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Observation 7acacd94-d587-4709-9fe4-1ea19ac30a32 · outbound

This paper cites Patterns of Knowledge in API Reference Documentation.

On Using Machine Learning to Identify Knowledge in API Reference Documentation Patterns of Knowledge in API Reference Documentation

Reference 3

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Source-reported events for the cited work

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Observation 6cf52dd3-f623-44eb-a47f-d1a615b5314e · outbound

This paper cites Discovering information explaining api types using text classi- ﬁcation.

On Using Machine Learning to Identify Knowledge in API Reference Documentation Discovering information explaining api types using text classi- ﬁcation

Reference 4

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Source-reported events for the cited work

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Observation f29f73a6-414b-460b-ac22-91b51811033d · outbound

This paper cites Recommending reference API documentation.

On Using Machine Learning to Identify Knowledge in API Reference Documentation Recommending reference API documentation

Reference 5

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Source-reported events for the cited work

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Observation 34488299-2c42-4de6-85bb-b7e5ebd73c07 · outbound

This paper cites A case study of api redesign for improved usability.

On Using Machine Learning to Identify Knowledge in API Reference Documentation A case study of api redesign for improved usability

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T17:24:46.120831Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation c041f177-171f-4ba3-ae02-fb31e57d3250 · outbound

This paper cites The implications of method placement on api learnability.

On Using Machine Learning to Identify Knowledge in API Reference Documentation The implications of method placement on api learnability

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T17:24:45.957676Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation f6269c81-d2ec-4e86-9fc9-08604ea4385b · outbound

This paper cites What should developers be aware of? An empirical study on the directives of API documentation.

On Using Machine Learning to Identify Knowledge in API Reference Documentation What should developers be aware of? An empirical study on the directives of API documentation

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T17:24:46.111482Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 4c4b319c-d3ad-4041-94d3-f83cbba85e4d · outbound

This paper cites An observational study on api usage constraints and their documenta- tion.

On Using Machine Learning to Identify Knowledge in API Reference Documentation An observational study on api usage constraints and their documenta- tion

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T17:24:45.992982Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation ed49601d-c3e6-4d68-8296-70fe59311b14 · outbound

This paper cites Deep learning: methods and applications.

On Using Machine Learning to Identify Knowledge in API Reference Documentation Deep learning: methods and applications

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T17:24:46.027626Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 006d72fe-b389-4dfd-9eac-36373cbd0ada · outbound

This paper cites Long short-term memory.

On Using Machine Learning to Identify Knowledge in API Reference Documentation Long short-term memory

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T17:24:45.940281Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 0dc4a346-f599-44d4-a7b3-b3703090cfeb · outbound

This paper cites Deep learning.

On Using Machine Learning to Identify Knowledge in API Reference Documentation Deep learning

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T17:24:45.922768Z

Source-reported events for the cited work

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Observation 7959728a-f395-45c3-8f72-2e4ac69bd471 · outbound

This paper cites Distributed representations of words and phrases and their compositionality.

On Using Machine Learning to Identify Knowledge in API Reference Documentation Distributed representations of words and phrases and their compositionality

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T17:24:46.061348Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 94350328-5f1c-4bfc-897a-064a814dc100 · outbound

This paper cites Area under the precision-recall curve: Point estimates and conﬁdence in- tervals.

On Using Machine Learning to Identify Knowledge in API Reference Documentation Area under the precision-recall curve: Point estimates and conﬁdence in- tervals

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T17:24:46.032298Z

Source-reported events for the cited work

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Observation 999a9f25-be29-42b1-83fc-e0043db858ef · outbound

This paper cites Using auc and accuracy in evaluating learning algorithms.

On Using Machine Learning to Identify Knowledge in API Reference Documentation Using auc and accuracy in evaluating learning algorithms

Reference 15

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Source-reported events for the cited work

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Observation 413bcb6b-5ebe-40a6-b90e-1b6b5856b436 · outbound

This paper cites A systematic analysis of performance measures for classiﬁcation tasks.

On Using Machine Learning to Identify Knowledge in API Reference Documentation A systematic analysis of performance measures for classiﬁcation tasks

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T17:24:46.018762Z

Source-reported events for the cited work

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Observation c381fd33-f3e0-40b7-a4b1-f9222de6c86c · outbound

This paper cites Concurrence among imbalanced labels and its inﬂuence on multilabel resampling algorithms.

On Using Machine Learning to Identify Knowledge in API Reference Documentation Concurrence among imbalanced labels and its inﬂuence on multilabel resampling algorithms

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T17:24:46.005839Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation d2569a0a-aef4-40bc-a5f0-4abe9e2aa25f · outbound

This paper cites Multilabel classiﬁcation.

On Using Machine Learning to Identify Knowledge in API Reference Documentation Multilabel classiﬁcation

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T17:24:46.087362Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 9bbc86bb-74d7-44ad-aeda-4b0a60272daa · outbound

This paper cites Glove: Global vectors for word representation.

On Using Machine Learning to Identify Knowledge in API Reference Documentation Glove: Global vectors for word representation

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T17:24:46.045528Z

Source-reported events for the cited work

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Observation 50f19a27-f65b-4571-9e38-887153e477f8 · outbound

This paper cites Large-scale learning of word relatedness with constraints.

On Using Machine Learning to Identify Knowledge in API Reference Documentation Large-scale learning of word relatedness with constraints

Reference 20

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Observation c5112297-e020-425e-929f-f6dc1d01889f · outbound

This paper cites Text categorization with support vector machines: Learning with many relevant features.

On Using Machine Learning to Identify Knowledge in API Reference Documentation Text categorization with support vector machines: Learning with many relevant features

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T17:24:46.116308Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation a4a1ebac-29b9-4007-8469-553420d0b1bb · outbound

This paper cites When is “nearest neighbor.

On Using Machine Learning to Identify Knowledge in API Reference Documentation When is “nearest neighbor

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T17:24:46.054227Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation e401079a-e317-44b6-9eea-73f8378de0e5 · outbound

This paper cites Natural language processing to quantify security effort in the software development lifecycle.

On Using Machine Learning to Identify Knowledge in API Reference Documentation Natural language processing to quantify security effort in the software development lifecycle

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T17:24:45.903569Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 4eac9800-f58c-4c23-bfa1-f278a8d0c751 · outbound

This paper cites On the naturalness of software.

On Using Machine Learning to Identify Knowledge in API Reference Documentation On the naturalness of software

Reference 24

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 837d88a4-7593-46bf-919f-744985fa6a01 · outbound

This paper cites Training linear svms in linear time.

On Using Machine Learning to Identify Knowledge in API Reference Documentation Training linear svms in linear time

Reference 25

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation bc2ef29f-8069-4926-af1d-546f07c6a0e0 · outbound

This paper cites Sentiment polarity detection for software development.

On Using Machine Learning to Identify Knowledge in API Reference Documentation Sentiment polarity detection for software development

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T17:24:45.953514Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 8a26c96d-c9f8-4786-84be-ae3216a3ac22 · outbound

This paper cites Easy over hard: A case study on deep learning.

On Using Machine Learning to Identify Knowledge in API Reference Documentation Easy over hard: A case study on deep learning

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T17:24:45.961845Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation b8a8f9cf-cdea-4ace-ae52-31c0e074e6a1 · outbound

This paper cites One-against-all multi-class svm classiﬁcation using reliability measures.

On Using Machine Learning to Identify Knowledge in API Reference Documentation One-against-all multi-class svm classiﬁcation using reliability measures

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T17:24:45.918866Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation fcaa6654-fe3b-440b-9b8d-76cb08e75e79 · outbound

This paper cites Random search for hyper-parameter optimization.

On Using Machine Learning to Identify Knowledge in API Reference Documentation Random search for hyper-parameter optimization

Reference 29

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 54a460d0-70ad-4444-a398-fa0763cda02b · outbound

This paper cites Nearest neighbor pattern classiﬁcation.

On Using Machine Learning to Identify Knowledge in API Reference Documentation Nearest neighbor pattern classiﬁcation

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T17:24:46.096095Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation fa548348-13c7-42ce-9344-40b94380499b · outbound

This paper cites Ml-knn: A lazy learning approach to multi-label learning.

On Using Machine Learning to Identify Knowledge in API Reference Documentation Ml-knn: A lazy learning approach to multi-label learning

Reference 31

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation aec9bf38-c3a4-4e80-b3b7-37fc592b10a7 · outbound

This paper cites Patterson and A.

On Using Machine Learning to Identify Knowledge in API Reference Documentation Patterson and A

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T17:24:46.079351Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 1498ae48-9a8d-4898-8f35-6db550128818 · outbound

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

On Using Machine Learning to Identify Knowledge in API Reference Documentation Dropout: a simple way to prevent neural networks from overﬁtting

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T17:24:46.049992Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation d9e76dd3-c303-42da-9e83-fb44d89dc74a · outbound

This paper cites An overview of gradient descent optimization algorithms.

On Using Machine Learning to Identify Knowledge in API Reference Documentation An overview of gradient descent optimization algorithms

Reference 34

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 725b6e6d-e2a7-4893-a213-e16626648909 · outbound

This paper cites Large-scale multi-label text classiﬁcation— revisiting neural networks.

On Using Machine Learning to Identify Knowledge in API Reference Documentation Large-scale multi-label text classiﬁcation— revisiting neural networks

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T17:24:45.971072Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 4257e02a-c6a3-4129-b190-70b0cde1367b · outbound

This paper cites Contextual correlates of semantic similarity.

On Using Machine Learning to Identify Knowledge in API Reference Documentation Contextual correlates of semantic similarity

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T17:24:45.984261Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 6763092b-83f2-437b-95ed-4247b6800555 · outbound

This paper cites Knowledge-based approaches in software documentation: A systematic literature review.

On Using Machine Learning to Identify Knowledge in API Reference Documentation Knowledge-based approaches in software documentation: A systematic literature review

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T17:24:46.105250Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation ae99eed7-d3ed-4317-9f20-456ac5df6912 · outbound

This paper cites Inferring method speciﬁcations from natural language api descriptions.

On Using Machine Learning to Identify Knowledge in API Reference Documentation Inferring method speciﬁcations from natural language api descriptions

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T17:24:46.040979Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 6096de9f-1c62-4e8c-9925-bd498c330a22 · outbound

This paper cites Predicting semantically linkable knowledge in developer online forums via convolutional neural network.

On Using Machine Learning to Identify Knowledge in API Reference Documentation Predicting semantically linkable knowledge in developer online forums via convolutional neural network

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T17:24:46.069860Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation e1dcb78a-4429-4a46-b3aa-ddc44e85cad1 · outbound

This paper cites Keep it simple: Is deep learning good for linguistic smell detection?.

On Using Machine Learning to Identify Knowledge in API Reference Documentation Keep it simple: Is deep learning good for linguistic smell detection?

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T17:24:45.988614Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 8c828d9d-a277-49d5-9253-e0c2927510af · outbound

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On Using Machine Learning to Identify Knowledge in API Reference Documentation Natural language or not (nlon)-a package for software engineering text analysis pipeline

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T17:24:45.935774Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation dc4b48a9-aade-470d-8f78-7e003ed27ca4 · outbound

This paper cites The psychological meaning of words: Liwc and computerized text analysis methods.

On Using Machine Learning to Identify Knowledge in API Reference Documentation The psychological meaning of words: Liwc and computerized text analysis methods

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T17:24:46.022979Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation c81ba955-1401-4a37-a613-f852858be508 · outbound

This paper cites On user rationale in software engineering.

On Using Machine Learning to Identify Knowledge in API Reference Documentation On user rationale in software engineering

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T17:24:45.979854Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 82701219-2ee3-4699-8d1a-87999d0c5209 · outbound

This paper cites Exploring techniques for rationale extraction from existing docu- ments.

On Using Machine Learning to Identify Knowledge in API Reference Documentation Exploring techniques for rationale extraction from existing docu- ments

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T17:24:46.001504Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 0f3f6f05-342c-4315-85b3-9112ee0efde8 · outbound

This paper cites Replicated softmax: an undirected topic model.

On Using Machine Learning to Identify Knowledge in API Reference Documentation Replicated softmax: an undirected topic model

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T17:24:45.975611Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 99efee61-e2d9-4567-b04f-cb98b817e1b1 · outbound

This paper cites Generalized cross entropy loss for training deep neural networks with noisy labels.

On Using Machine Learning to Identify Knowledge in API Reference Documentation Generalized cross entropy loss for training deep neural networks with noisy labels

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T17:24:45.949078Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation abc6bc0c-992e-4160-b551-e8e4e70cd913 · outbound

This paper cites Variants of rmsprop and adagrad with logarithmic regret bounds.

On Using Machine Learning to Identify Knowledge in API Reference Documentation Variants of rmsprop and adagrad with logarithmic regret bounds

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T17:24:46.010118Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 42a58755-6625-4257-9f11-19b553056bb2 · outbound

This paper cites Creating and evolving developer documentation: understanding the deci- sions of open source contributors.

On Using Machine Learning to Identify Knowledge in API Reference Documentation Creating and evolving developer documentation: understanding the deci- sions of open source contributors

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T17:24:45.997161Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Pith citing papers

No inbound Pith citation observations are available.