Paper Citation Record · LEDGER

Rethinking Issue Resolution for AI/ML Systems

As of 23 August 2026, this Paper Citation Record lists 47 of 47 outbound references and 0 inbound Pith citation observations for arXiv:2607.14657.

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

pith.paper-citation-record.v1
2607.14657 v1

Coverage vector

measured 47 of 47 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-02T01:30:41.088961Z

measured 47 of 47 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+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

47 of 47 outbound references displayed

verified exact0
verified fuzzy0
unresolved47
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 4c3c6b0a-e14d-4f19-b68d-4ca9c5975c7f · outbound

This paper cites Decoding the issue resolution process in practice via issue report analysis: A case study of firefox,.

Rethinking Issue Resolution for AI/ML Systems Decoding the issue resolution process in practice via issue report analysis: A case study of firefox,

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-02T01:30:36.577461Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f6ae55df-de8d-45b6-b628-c7f993a9afd1 · outbound

This paper cites A literature review of research in bug resolution: Tasks, challenges and future directions,.

Rethinking Issue Resolution for AI/ML Systems A literature review of research in bug resolution: Tasks, challenges and future directions,

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-02T01:30:36.665983Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f7e36fe8-20d1-4a06-9149-45bcc89bf68c · outbound

This paper cites Zeller,Why Programs Fail: A Guide to Systematic Debugging, 2nd ed.

Rethinking Issue Resolution for AI/ML Systems Zeller,Why Programs Fail: A Guide to Systematic Debugging, 2nd ed

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-02T01:30:36.758949Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 24f3f142-6e7f-4217-83d7-ed7d861d2c99 · outbound

This paper cites Software engineering for machine learning: A case study,.

Rethinking Issue Resolution for AI/ML Systems Software engineering for machine learning: A case study,

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-02T01:30:36.826004Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7feb77f8-467e-49e4-949d-37d885380623 · outbound

This paper cites Copiloting the future: How generative ai transforms software engineering,.

Rethinking Issue Resolution for AI/ML Systems Copiloting the future: How generative ai transforms software engineering,

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-02T01:30:36.929385Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bc3fc939-2fe0-494c-aec9-13c2df825c3b · outbound

This paper cites A comprehensive study on deep learning bug characteristics,.

Rethinking Issue Resolution for AI/ML Systems A comprehensive study on deep learning bug characteristics,

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-02T01:30:37.037805Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 76e114c4-21c0-49d6-a109-1848508a7a95 · outbound

This paper cites Comparative analysis of real issues in open-source machine learning projects,.

Rethinking Issue Resolution for AI/ML Systems Comparative analysis of real issues in open-source machine learning projects,

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-02T01:30:37.139394Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ca82e55a-bdbc-44fd-bf23-33a57ab7c1b2 · outbound

This paper cites A systematic survey on debugging techniques for machine learning systems,.

Rethinking Issue Resolution for AI/ML Systems A systematic survey on debugging techniques for machine learning systems,

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-02T01:30:37.207610Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f78fe65c-8a9a-493e-881f-045edb04c454 · outbound

This paper cites Taxonomy of real faults in deep learning systems,.

Rethinking Issue Resolution for AI/ML Systems Taxonomy of real faults in deep learning systems,

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-02T01:30:37.302330Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ab5a4f1f-c1d4-4dcf-aa05-dd4f47615f53 · outbound

This paper cites Tensorflow: An open source machine learning framework,.

Rethinking Issue Resolution for AI/ML Systems Tensorflow: An open source machine learning framework,

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-02T01:30:37.377459Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a8c32d8c-514b-46cf-824d-01afbae86738 · outbound

This paper cites scikit-learn: Machine learning in python,.

Rethinking Issue Resolution for AI/ML Systems scikit-learn: Machine learning in python,

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-02T01:30:37.447271Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c574acca-6141-48d2-acf8-0a1161aace2d · outbound

This paper cites an unresolved cited work.

Rethinking Issue Resolution for AI/ML Systems Unresolved cited work

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-02T01:30:37.541901Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a86f3df3-0cdd-4512-a64c-79a731d75e42 · outbound

This paper cites Autogpt: An autonomous gpt-4 experiment,.

Rethinking Issue Resolution for AI/ML Systems Autogpt: An autonomous gpt-4 experiment,

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-02T01:30:37.613733Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b9d87b4a-e99d-4d1e-b65a-c9177e355987 · outbound

This paper cites Spencer,Card sorting: Designing usable categories.

Rethinking Issue Resolution for AI/ML Systems Spencer,Card sorting: Designing usable categories

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-02T01:30:37.721842Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e2c6f34b-2da6-4dcd-9dec-edac88d5ae78 · outbound

This paper cites How does machine learning change software development practices?.

Rethinking Issue Resolution for AI/ML Systems How does machine learning change software development practices?

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-02T01:30:37.795364Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 46ef3c86-2878-4b10-a937-b5529218b253 · outbound

This paper cites A multivocal review of mlops practices, challenges and open issues,.

Rethinking Issue Resolution for AI/ML Systems A multivocal review of mlops practices, challenges and open issues,

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-02T01:30:37.870082Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5742e7e4-1722-4a71-b9f8-db843f48cb77 · outbound

This paper cites Maintainability challenges in ml: A systematic literature review,.

Rethinking Issue Resolution for AI/ML Systems Maintainability challenges in ml: A systematic literature review,

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-02T01:30:37.952416Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e96dc6c6-6455-4fa3-b022-a5d7d9bdb297 · outbound

This paper cites Scalability and Maintainability Challenges and Solutions in Machine Learning: Systematic Literature Review.

Rethinking Issue Resolution for AI/ML Systems Scalability and Maintainability Challenges and Solutions in Machine Learning: Systematic Literature Review

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-02T01:30:38.047355Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 43207d43-f55e-4a64-8867-548d9447e9af · outbound

This paper cites Quality issues in machine learning software systems,.

Rethinking Issue Resolution for AI/ML Systems Quality issues in machine learning software systems,

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-02T01:30:38.150348Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b29bf14c-63cb-40ba-a6e8-72b121fb958d · outbound

This paper cites An empirical study of pre-trained model reuse in the hugging face deep learning model registry,.

Rethinking Issue Resolution for AI/ML Systems An empirical study of pre-trained model reuse in the hugging face deep learning model registry,

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-02T01:30:38.215633Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 29006aaa-18e5-4f6e-9830-371ee67ecb2c · outbound

This paper cites An empirical study on real bugs for machine learning programs,.

Rethinking Issue Resolution for AI/ML Systems An empirical study on real bugs for machine learning programs,

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-02T01:30:38.307002Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4fb4f406-89e4-4ef8-853f-c8214be24cea · outbound

This paper cites Rajlich,Software engineering: The current practice.

Rethinking Issue Resolution for AI/ML Systems Rajlich,Software engineering: The current practice

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-02T01:30:38.370361Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f0d253f7-0f3a-450b-a99b-16712307c414 · outbound

This paper cites Zeller,Why programs fail: a guide to systematic debugging.

Rethinking Issue Resolution for AI/ML Systems Zeller,Why programs fail: a guide to systematic debugging

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-02T01:30:38.432355Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e3117a72-7497-421e-98d0-d8cb59401bf3 · outbound

This paper cites Understanding the triaging and fixing processes of long lived bugs,.

Rethinking Issue Resolution for AI/ML Systems Understanding the triaging and fixing processes of long lived bugs,

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-02T01:30:38.527356Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6dc4c89a-7584-4e8e-9730-994a684645ea · outbound

This paper cites Replication package,.

Rethinking Issue Resolution for AI/ML Systems Replication package,

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-02T01:30:38.621281Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 387d36f0-2d47-4bda-9f2b-a67bee979a40 · outbound

This paper cites Github api,.

Rethinking Issue Resolution for AI/ML Systems Github api,

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-02T01:30:38.679184Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 23f191b8-419b-41e3-8334-f401db591bf4 · outbound

This paper cites Strauss and J.

Rethinking Issue Resolution for AI/ML Systems Strauss and J

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-02T01:30:38.766612Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9cf6ff93-e625-44b3-b73a-417fcd6bf86e · outbound

This paper cites Hypothesis: Web annotation tool,.

Rethinking Issue Resolution for AI/ML Systems Hypothesis: Web annotation tool,

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-02T01:30:38.859802Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c8093eb2-8d4a-48b5-83fd-594673c57482 · outbound

This paper cites Issue #46168,.

Rethinking Issue Resolution for AI/ML Systems Issue #46168,

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-02T01:30:38.924250Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 378e95bf-8b9c-48e8-998a-e073aca023b1 · outbound

This paper cites [bug] mlflow.evaluate function crash on binary classi- fication evaluation,.

Rethinking Issue Resolution for AI/ML Systems [bug] mlflow.evaluate function crash on binary classi- fication evaluation,

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-02T01:30:39.020582Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 49e25eeb-5d16-4398-8165-bbffc68fa2e6 · outbound

This paper cites [bug] loading more runs in the experiment ui becomes very slow with a large number of rows,.

Rethinking Issue Resolution for AI/ML Systems [bug] loading more runs in the experiment ui becomes very slow with a large number of rows,

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-02T01:30:39.106337Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4ecdc7b0-19b0-4d95-bdb6-054074bca619 · outbound

This paper cites Multiworkermirroredstrategy keras example hangs #35878,.

Rethinking Issue Resolution for AI/ML Systems Multiworkermirroredstrategy keras example hangs #35878,

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-02T01:30:39.193120Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 93de87ce-5426-4bac-89e7-dc25e295a11d · outbound

This paper cites scikit issue #29229,.

Rethinking Issue Resolution for AI/ML Systems scikit issue #29229,

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-02T01:30:39.355006Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ef858876-9d5d-4c3d-a885-0149a568f8d8 · outbound

This paper cites Issue #8414: (discussed in stackoverflow context) proposed application of the pipeline subset of steps,.

Rethinking Issue Resolution for AI/ML Systems Issue #8414: (discussed in stackoverflow context) proposed application of the pipeline subset of steps,

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-02T01:30:39.466281Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation afe38bce-6e2e-4130-9651-bc9ad833287f · outbound

This paper cites Non-determinism from ‘tf.data.dataset.map‘ with random ops #13932,.

Rethinking Issue Resolution for AI/ML Systems Non-determinism from ‘tf.data.dataset.map‘ with random ops #13932,

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-02T01:30:39.649738Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2863e3f0-8b3f-4b50-92da-98fbe342c270 · outbound

This paper cites Issue #75945,.

Rethinking Issue Resolution for AI/ML Systems Issue #75945,

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-02T01:30:39.772357Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ca06e2a3-0551-499b-92ab-b5de94b93979 · outbound

This paper cites Groupkfold inconsistent under ties in group sizes. #29495,.

Rethinking Issue Resolution for AI/ML Systems Groupkfold inconsistent under ties in group sizes. #29495,

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-02T01:30:39.921125Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e90a08ed-6458-44b5-b0a0-2e415a4d0262 · outbound

This paper cites AutoGPT Issue #2711,.

Rethinking Issue Resolution for AI/ML Systems AutoGPT Issue #2711,

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-02T01:30:40.034612Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bae58739-a36e-4515-95b7-25a295e4bc8f · outbound

This paper cites an unresolved cited work.

Rethinking Issue Resolution for AI/ML Systems Unresolved cited work

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-02T01:30:40.152327Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 70983cfc-ede7-43fc-b4a3-82a5187660fa · outbound

This paper cites Hugging Face: The AI community building the future,.

Rethinking Issue Resolution for AI/ML Systems Hugging Face: The AI community building the future,

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-02T01:30:40.262492Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6fa6d1b6-d4bc-49aa-bd5f-c2282902dbae · outbound

This paper cites On automated and explainable provenance of ai-generated code,.

Rethinking Issue Resolution for AI/ML Systems On automated and explainable provenance of ai-generated code,

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-02T01:30:40.392360Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ca683abb-35b7-4d59-b25a-746497fa2228 · outbound

This paper cites Ai agentic programming: A survey of techniques, challenges, and opportunities,.

Rethinking Issue Resolution for AI/ML Systems Ai agentic programming: A survey of techniques, challenges, and opportunities,

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-02T01:30:40.517672Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 05048d0d-4d7e-495d-b69f-39de10f122ed · outbound

This paper cites Lon- gitudinal studies,.

Rethinking Issue Resolution for AI/ML Systems Lon- gitudinal studies,

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-02T01:30:40.637145Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 924a3ed1-a33a-4079-aa56-a36adcdfc288 · outbound

This paper cites Human-in-the-loop artificial intelligence: A systematic review of concepts, methods, and applications,.

Rethinking Issue Resolution for AI/ML Systems Human-in-the-loop artificial intelligence: A systematic review of concepts, methods, and applications,

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-02T01:30:40.756922Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3a3ea7c9-3ba8-400f-a667-439d6190938f · outbound

This paper cites Cybergym: Evaluating ai agents’ real-world cybersecurity capabilities at scale,.

Rethinking Issue Resolution for AI/ML Systems Cybergym: Evaluating ai agents’ real-world cybersecurity capabilities at scale,

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-02T01:30:40.885576Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6070c181-c261-446a-8375-94d9e6d89d6c · outbound

This paper cites Stochastic debugging based reliability growth models for open source software project,.

Rethinking Issue Resolution for AI/ML Systems Stochastic debugging based reliability growth models for open source software project,

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-02T01:30:41.004990Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 28c03f04-d2c2-43a4-92b2-9b662a62a7d7 · outbound

This paper cites Probabilistic models for monitoring and fault diagnosis,.

Rethinking Issue Resolution for AI/ML Systems Probabilistic models for monitoring and fault diagnosis,

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-02T01:30:41.088961Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.