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Paper Citation Record · LEDGER

Position: Stop Reactively Patching Your Model Every Time and Start Proactive Test-Driven AI Development

As of 6 August 2026, this Paper Citation Record lists 100 of 213 outbound references and 0 inbound Pith citation observations for arXiv:2607.20532.

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

pith.paper-citation-record.v1
2607.20532 v1

Coverage vector

measured 100 of 213 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-02T07:40:22.704753Z

measured 100 of 100 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-06T06:34:29.942622+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

100 of 213 outbound references displayed

  • verified exact1
  • verified fuzzy0
  • unresolved99
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation e7cc15c7-58ed-44bb-ba30-8f5f0c95e695 · outbound

This paper cites 2023 , title =.

Position: Stop Reactively Patching Your Model Every Time and Start Proactive Test-Driven AI Development 2023 , title =

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-02T07:40:12.680830Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T07:40:12.680830Z digest=sha256:399ed88e1366ed6c724d94a90370da31ae2f2149616910730693d759bbcba017

Observation 4379a025-b47f-4477-b27b-045942934ade · outbound

This paper cites InsideEVs , author=.

Position: Stop Reactively Patching Your Model Every Time and Start Proactive Test-Driven AI Development InsideEVs , author=

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-02T07:40:12.783217Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T07:40:12.783217Z digest=sha256:156bd9c895ba07aa67cecb438a5cce2e61b1d4e6301b4418fc47be94f5ddcfb1

Observation c25ba661-78de-4ede-9997-d3535f7cd488 · outbound

This paper cites an unresolved cited work.

Position: Stop Reactively Patching Your Model Every Time and Start Proactive Test-Driven AI Development Unresolved cited work

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-02T07:40:12.922204Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T07:40:12.922204Z digest=sha256:3adca9d0c7380eb91c414d2ff3850a2cc2748a09b782e06d235549d0bef8d986

Observation 56041858-8530-4258-b3e6-55b6806e73ec · outbound

This paper cites 2025 , title =.

Position: Stop Reactively Patching Your Model Every Time and Start Proactive Test-Driven AI Development 2025 , title =

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-02T07:40:13.044072Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T07:40:13.044072Z digest=sha256:1494d439c82c7601892bd935b1a5b8b5f3e0067246978c6d7245e98944151c33

Observation bffc57b7-4b39-4d6b-ac4a-256277f9a431 · outbound

This paper cites ACM Transactions on Information Systems (TOIS) , volume=.

Position: Stop Reactively Patching Your Model Every Time and Start Proactive Test-Driven AI Development ACM Transactions on Information Systems (TOIS) , volume=

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-02T07:40:13.174165Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T07:40:13.174165Z digest=sha256:604e33a308239bd7e4c4ad0e2222bb23429a3bce8ffe28d25634068d07d9aadb

Observation 6cd82f0a-06cb-403a-a09b-641e2994bb94 · outbound

This paper cites GPT-4 Technical Report.

Position: Stop Reactively Patching Your Model Every Time and Start Proactive Test-Driven AI Development GPT-4 Technical Report

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-02T07:40:13.284694Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T07:40:13.284694Z digest=sha256:86b69806a5c85dc8c988d8af3f90e55ca308b9d47b10fee07d7d5e58a608e6eb

Observation a4b95620-da41-4f52-bb40-4656b1168798 · outbound

This paper cites 2022 , month =.

Position: Stop Reactively Patching Your Model Every Time and Start Proactive Test-Driven AI Development 2022 , month =

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-02T07:40:13.358214Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T07:40:13.358214Z digest=sha256:3a55fa8d0bb2ec471490f33dc0a113fdef7f54af8c1c627fc2e9934b7dfa3830

Observation 8e5ce79d-8cb4-49af-b1a2-8da833b13592 · outbound

This paper cites an unresolved cited work.

Position: Stop Reactively Patching Your Model Every Time and Start Proactive Test-Driven AI Development Unresolved cited work

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-02T07:40:13.473209Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T07:40:13.473209Z digest=sha256:b3bae7bbf821187a9215177391ab2f4a52ffba6e48dd615e3da2a971270dce87

Observation 0ed9226d-76be-4670-8ddd-85cec43706fb · outbound

This paper cites Progressive Layered Extraction (PLE): A Novel Multi-Task Learning (MTL) Model for Personalized Recommendations , url=.

Position: Stop Reactively Patching Your Model Every Time and Start Proactive Test-Driven AI Development Progressive Layered Extraction (PLE): A Novel Multi-Task Learning (MTL) Model for Personalized Recommendations , url=

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-02T07:40:13.531905Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T07:40:13.531905Z digest=sha256:d2e83b0af6f977d6b173b9842ba559aa18c4d79bd6aed4a98ff739e51914b04d

Observation 4494a735-c4f4-4315-bd6a-f1afac7b463f · outbound

This paper cites RLPS: A Reinforcement Learning–Based Framework for Personalized Search , volume=.

Position: Stop Reactively Patching Your Model Every Time and Start Proactive Test-Driven AI Development RLPS: A Reinforcement Learning–Based Framework for Personalized Search , volume=

Reference 10

Resolution
verified exact
doi, observed 2026-08-02T07:43:20.703809Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-08-02T07:40:13.654143Z digest=sha256:a51953b1d0fa14a3474e385723019ba6cf45aec3c1494d8c58f877f99d44c8dc

Observation 6245d85f-c0f0-4031-8481-9ff35256b011 · outbound

This paper cites Wayve , author=.

Position: Stop Reactively Patching Your Model Every Time and Start Proactive Test-Driven AI Development Wayve , author=

Reference 11

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unresolved
no resolver link, observed 2026-08-02T07:40:13.793058Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T07:40:13.793058Z digest=sha256:06c0e776b4020628b6344b0566a5540370f55d212102ecfc4960d52da2acf791

Observation 8bd9ba88-c598-4e63-8019-cf429864238f · outbound

This paper cites IEEE Reliability Magazine , author=.

Position: Stop Reactively Patching Your Model Every Time and Start Proactive Test-Driven AI Development IEEE Reliability Magazine , author=

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-02T07:40:13.892140Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T07:40:13.892140Z digest=sha256:b4543fd19dd40b4eb9923d7e18db786a92a5cfe35a97ca5027fd678bd4b295f0

Observation 80b9cb6d-7aef-409a-8f89-a1f796d90b45 · outbound

This paper cites Nemotron-CLIMB: CLustering-based Iterative Data Mixture Bootstrapping for Language Model Pre-training.

Position: Stop Reactively Patching Your Model Every Time and Start Proactive Test-Driven AI Development Nemotron-CLIMB: CLustering-based Iterative Data Mixture Bootstrapping for Language Model Pre-training

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-02T07:40:14.093700Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T07:40:14.093700Z digest=sha256:c0e8476fd4873fad7c65e7937c5a3dc66efb6dbfe00d5cf28dcc611cdf2735e3

Observation eae53d3f-2aa6-48f5-8a2f-a3d8f4399869 · outbound

This paper cites Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.

Position: Stop Reactively Patching Your Model Every Time and Start Proactive Test-Driven AI Development Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining V

Reference 14

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unresolved
no resolver link, observed 2026-08-02T07:40:14.199130Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T07:40:14.199130Z digest=sha256:88b5bea499985457768cf2ea24e5a64fff3d40318d491939fdbe6d7f77c55a32

Observation 1848f071-a43f-468d-a1b4-a7c8a5bc0c6f · outbound

This paper cites Active Learning for Convolutional Neural Networks: A Core-Set Approach.

Position: Stop Reactively Patching Your Model Every Time and Start Proactive Test-Driven AI Development Active Learning for Convolutional Neural Networks: A Core-Set Approach

Reference 15

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unresolved
no resolver link, observed 2026-08-02T07:40:14.377375Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T07:40:14.377375Z digest=sha256:adc15e726d6cda6ebbdcc2d3923136f0e09abc709c988571cd6109abb793e2db

Observation 82c47aa2-f040-4e61-86a6-b1c1258384a2 · outbound

This paper cites Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition , pages=.

Position: Stop Reactively Patching Your Model Every Time and Start Proactive Test-Driven AI Development Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition , pages=

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-02T07:40:14.529175Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T07:40:14.529175Z digest=sha256:ebacda0b42ec93ad43db7b5e1f414289455d1e4ca16207e57516cfb4358d94ab

Observation 30d21c5f-9a01-4295-bf19-7fc7b3a0eb36 · outbound

This paper cites Advances in neural information processing systems , volume=.

Position: Stop Reactively Patching Your Model Every Time and Start Proactive Test-Driven AI Development Advances in neural information processing systems , volume=

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-02T07:40:14.593967Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T07:40:14.593967Z digest=sha256:a0ba6e31a18470b17766dc9bce9517fe9ef8e993026fd105efff0301cea7c09f

Observation 9a0fdfd9-a6e7-4c43-801d-0c1ced483c1b · outbound

This paper cites 2009 IEEE conference on computer vision and pattern recognition , pages=.

Position: Stop Reactively Patching Your Model Every Time and Start Proactive Test-Driven AI Development 2009 IEEE conference on computer vision and pattern recognition , pages=

Reference 18

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unresolved
no resolver link, observed 2026-08-02T07:40:14.664180Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T07:40:14.664180Z digest=sha256:7678841ab1ba36fbfb0473f7a65cc23af6118a23bad135e5abccb70f70effae8

Observation cfc50761-6100-4dfa-b6fb-b3a492f2e609 · outbound

This paper cites Journal of marketing research , volume=.

Position: Stop Reactively Patching Your Model Every Time and Start Proactive Test-Driven AI Development Journal of marketing research , volume=

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-02T07:40:14.804751Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T07:40:14.804751Z digest=sha256:97ce5a05fafaaf229e243eee14f524ed3a4f4089ce2929c27ed978e0116e7922

Observation 60a4a2ab-d890-4f0b-b620-3c3e60b4aaea · outbound

This paper cites Trends in Cognitive Sciences , year=.

Position: Stop Reactively Patching Your Model Every Time and Start Proactive Test-Driven AI Development Trends in Cognitive Sciences , year=

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-02T07:40:14.859338Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T07:40:14.859338Z digest=sha256:900596933327b21bb1f17e9a75e148a468a38c9225e03848b9ebe7e217331c02

Observation 727b378b-cc5b-4cd8-84a0-819018d6e94e · outbound

This paper cites Mastering Chess and Shogi by Self-Play with a General Reinforcement Learning Algorithm.

Position: Stop Reactively Patching Your Model Every Time and Start Proactive Test-Driven AI Development Mastering Chess and Shogi by Self-Play with a General Reinforcement Learning Algorithm

Reference 21

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unresolved
no resolver link, observed 2026-08-02T07:40:14.970091Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T07:40:14.970091Z digest=sha256:e2e854f596c07c8d736a449d930b6ec6a828e97951206fe51bf8c0fe6bee9f17

Observation 520d03ec-c6d6-4b26-a2b6-ab2cc962f0fa · outbound

This paper cites 2025 , url=.

Position: Stop Reactively Patching Your Model Every Time and Start Proactive Test-Driven AI Development 2025 , url=

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-02T07:40:15.092186Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T07:40:15.092186Z digest=sha256:a9eb8d6452f860dd0b28332b2b8857ece04645e0ffa77551b39a8df29561ab10

Observation e3b16021-a44c-497c-92db-029698a46777 · outbound

This paper cites Stochastic Models , volume=.

Position: Stop Reactively Patching Your Model Every Time and Start Proactive Test-Driven AI Development Stochastic Models , volume=

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-02T07:40:15.271053Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T07:40:15.271053Z digest=sha256:0f92e557e9003e5bf4e4182b2186e5e9abbe1acd907525006c1c577573539d7d

Observation 681c4ce5-4653-4cfe-b3aa-c844c0e5227e · outbound

This paper cites IEEE transactions on pattern analysis and machine intelligence , volume=.

Position: Stop Reactively Patching Your Model Every Time and Start Proactive Test-Driven AI Development IEEE transactions on pattern analysis and machine intelligence , volume=

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-02T07:40:15.423140Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T07:40:15.423140Z digest=sha256:357ed1a560e9155dfd65dbd69fd47d808d9cb938ac13f461331898e4bc91fb01

Observation d387402d-6c20-430c-a93c-de2de15d1b91 · outbound

This paper cites 2014 , publisher=.

Position: Stop Reactively Patching Your Model Every Time and Start Proactive Test-Driven AI Development 2014 , publisher=

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-02T07:40:15.542964Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T07:40:15.542964Z digest=sha256:180d596d26cb5c4801483049a76dcfa196be3f9b97d0b42e5e973dab66f910d8

Observation 5e0815a8-ceee-4b17-8956-684528ec6c45 · outbound

This paper cites Proceedings of the 2021 international conference on management of data , pages=.

Position: Stop Reactively Patching Your Model Every Time and Start Proactive Test-Driven AI Development Proceedings of the 2021 international conference on management of data , pages=

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-02T07:40:15.659012Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T07:40:15.659012Z digest=sha256:33e7e388b691e9a90d927bcb6e3b683a59556082f51f720a145e878d751019ca

Observation 55dfe25c-936e-4c1b-8a63-ce45a090dda0 · outbound

This paper cites 2017 IEEE international conference on big data (big data) , pages=.

Position: Stop Reactively Patching Your Model Every Time and Start Proactive Test-Driven AI Development 2017 IEEE international conference on big data (big data) , pages=

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-02T07:40:15.823731Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T07:40:15.823731Z digest=sha256:cc9d92b67f85ef9ef16894698ef0fbd6ccca75515d1c1947fbc32dfff3c62afa

Observation 7e6d3ed0-0df3-4c82-9b86-9752f556c422 · outbound

This paper cites arXiv preprint arXiv:2509.24219 , year=.

Position: Stop Reactively Patching Your Model Every Time and Start Proactive Test-Driven AI Development arXiv preprint arXiv:2509.24219 , year=

Reference 28

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unresolved
no resolver link, observed 2026-08-02T07:40:15.896622Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T07:40:15.896622Z digest=sha256:ea546550f2c968a6940d53e734a5475df030569db98070fffc314e82f49420c0

Observation bb2d35bd-8eb3-47e6-855c-edf9fcdd88ec · outbound

This paper cites Information fusion , volume=.

Position: Stop Reactively Patching Your Model Every Time and Start Proactive Test-Driven AI Development Information fusion , volume=

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-02T07:40:16.014757Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T07:40:16.014757Z digest=sha256:b8584f0f1d68f49ee2f4c52058347043a0115d811f26898d3e2c64b670c10629

Observation 4305eb6e-0a3d-449f-b330-50761c406992 · outbound

This paper cites ACM Computing Surveys , year=.

Position: Stop Reactively Patching Your Model Every Time and Start Proactive Test-Driven AI Development ACM Computing Surveys , year=

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-02T07:40:16.095366Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T07:40:16.095366Z digest=sha256:16d4b761e014ad980199bb55235f44387260d45918b081c039c89cd4a34420d9

Observation 9ba8a722-208d-4da3-84d3-7802826e6934 · outbound

This paper cites Proceedings of the IEEE international conference on computer vision , pages=.

Position: Stop Reactively Patching Your Model Every Time and Start Proactive Test-Driven AI Development Proceedings of the IEEE international conference on computer vision , pages=

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-02T07:40:16.159629Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T07:40:16.159629Z digest=sha256:2e05b1b24091a94788f5d2ff0f1eeeedc56d3071f37562f027ee3ff192fe2e62

Observation 1dbd5930-f8a3-45a3-b8ae-9147666be94b · outbound

This paper cites an unresolved cited work.

Position: Stop Reactively Patching Your Model Every Time and Start Proactive Test-Driven AI Development Unresolved cited work

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-02T07:40:16.282426Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T07:40:16.282426Z digest=sha256:10a03e5195daf0e89e7ea74884293e28eedd573b6897cd651459978e00716f7c

Observation 2668239a-a7f3-41e3-a0e8-f448e8f35ac7 · outbound

This paper cites Proceedings of the IEEE/CVF conference on computer vision and pattern recognition , pages=.

Position: Stop Reactively Patching Your Model Every Time and Start Proactive Test-Driven AI Development Proceedings of the IEEE/CVF conference on computer vision and pattern recognition , pages=

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-02T07:40:16.385253Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T07:40:16.385253Z digest=sha256:0524a8f394ae1ddaf06984c7a1fa08b7f52fc1b318c32393a5e71a8d5c6a4d0f

Observation 4d306aff-8914-4443-ae9b-ecfd367480bc · outbound

This paper cites Neural networks , volume=.

Position: Stop Reactively Patching Your Model Every Time and Start Proactive Test-Driven AI Development Neural networks , volume=

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-02T07:40:16.534775Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T07:40:16.534775Z digest=sha256:a6f84f13f1c1a887fd9159d0309a2223004ca32161c19181220420e46da024e9

Observation 3f63c8e0-8e05-4f59-bfec-e22b4a0de37d · outbound

This paper cites Transactions on machine learning research , year=.

Position: Stop Reactively Patching Your Model Every Time and Start Proactive Test-Driven AI Development Transactions on machine learning research , year=

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-02T07:40:16.686261Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T07:40:16.686261Z digest=sha256:7cbbba9c1a51a3163247d46e6ea584c0dadc8a77bf48a2392c0410a456d14921

Observation 1175dfd6-9e19-4a80-bd83-55cb0f3315c2 · outbound

This paper cites Proceedings of the 60th annual meeting of the association for computational linguistics (volume 1: long papers) , pages=.

Position: Stop Reactively Patching Your Model Every Time and Start Proactive Test-Driven AI Development Proceedings of the 60th annual meeting of the association for computational linguistics (volume 1: long papers) , pages=

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-02T07:40:16.803404Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T07:40:16.803404Z digest=sha256:e3c792c2c8e6852476ac1e73297a6224b60ac5e9a54aa3772dd160b252c45789

Observation 8144bcd6-1873-4551-943f-79f9679b8a6e · outbound

This paper cites International conference on machine learning , pages=.

Position: Stop Reactively Patching Your Model Every Time and Start Proactive Test-Driven AI Development International conference on machine learning , pages=

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-02T07:40:16.956296Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T07:40:16.956296Z digest=sha256:c12889665c4d7e386a6d409d0b9803b155333e2007d46e585087227419c81ea0

Observation 38331351-970c-4cdd-b618-929c61ecb034 · outbound

This paper cites 2018 IEEE Intelligent Vehicles Symposium (IV) , pages=.

Position: Stop Reactively Patching Your Model Every Time and Start Proactive Test-Driven AI Development 2018 IEEE Intelligent Vehicles Symposium (IV) , pages=

Reference 38

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source=arxiv_source observed=2026-08-02T07:40:17.096037Z digest=sha256:6f0559f06df057449874bce837bf9460dfa8b14d9ed8bcea7246219e0b7c376e

Observation a86d5529-6cde-421d-8350-20310d5ef4b0 · outbound

This paper cites Red Teaming Language Models to Reduce Harms: Methods, Scaling Behaviors, and Lessons Learned.

Position: Stop Reactively Patching Your Model Every Time and Start Proactive Test-Driven AI Development Red Teaming Language Models to Reduce Harms: Methods, Scaling Behaviors, and Lessons Learned

Reference 39

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source=arxiv_source observed=2026-08-02T07:40:17.194748Z digest=sha256:bae5b1fd40f9cce12bbb8c90c563dbac8d45380d7d5ee62f9c1308c4ab958961

Observation 5b359723-2f07-47af-b0bf-90dac2e84f48 · outbound

This paper cites Advances in neural information processing systems , volume=.

Position: Stop Reactively Patching Your Model Every Time and Start Proactive Test-Driven AI Development Advances in neural information processing systems , volume=

Reference 40

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source=arxiv_source observed=2026-08-02T07:40:17.336373Z digest=sha256:6b3f789896f8816dade0e90453ff0745379dc23fd5ad8018950f7b5fe7ba3765

Observation 4a120199-dcd7-424d-aa2c-e06832a01d28 · outbound

This paper cites Proceedings of the IEEE/CVF conference on computer vision and pattern recognition , pages=.

Position: Stop Reactively Patching Your Model Every Time and Start Proactive Test-Driven AI Development Proceedings of the IEEE/CVF conference on computer vision and pattern recognition , pages=

Reference 41

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source=arxiv_source observed=2026-08-02T07:40:17.400400Z digest=sha256:aa385dac3b63cba3ec8eb81e1ad2b8574fcefb97ab3329984728b439c5b15ac7

Observation 2e27fe01-d81d-4bcc-95bd-64b97f23a6f9 · outbound

This paper cites Proceedings of the IEEE international conference on computer vision , pages=.

Position: Stop Reactively Patching Your Model Every Time and Start Proactive Test-Driven AI Development Proceedings of the IEEE international conference on computer vision , pages=

Reference 42

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source=arxiv_source observed=2026-08-02T07:40:17.456210Z digest=sha256:a8cbf6ff1f8244ba9050244876f26b77c95a0014592091d272a8021f9553d5f3

Observation a1acebb7-83fe-4591-adf9-db7cb10eae95 · outbound

This paper cites an unresolved cited work.

Position: Stop Reactively Patching Your Model Every Time and Start Proactive Test-Driven AI Development Unresolved cited work

Reference 43

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source=arxiv_source observed=2026-08-02T07:40:17.524723Z digest=sha256:fe94b8d7b89252a48053c90358e624e059f0c3243cbd8f33d80d56e323e4b5c7

Observation 8ea81961-0bdd-478e-8735-32a353547fbf · outbound

This paper cites Advances in neural information processing systems , volume=.

Position: Stop Reactively Patching Your Model Every Time and Start Proactive Test-Driven AI Development Advances in neural information processing systems , volume=

Reference 44

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source=arxiv_source observed=2026-08-02T07:40:17.583533Z digest=sha256:2adbe65a96b9b9e408d648ce713d21f6d76321e94d3ac5ea32f7628352ed2945

Observation 4ac3e345-280d-4c74-82da-975a4a1f99f9 · outbound

This paper cites GPT-4o System Card.

Position: Stop Reactively Patching Your Model Every Time and Start Proactive Test-Driven AI Development GPT-4o System Card

Reference 45

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source=arxiv_source observed=2026-08-02T07:40:17.640103Z digest=sha256:bda58f768647d834321a47173be9dae5d07674fa48140adfc7b508d184ca8158

Observation e8716852-b88a-4973-a63a-84c1f850cb17 · outbound

This paper cites an unresolved cited work.

Position: Stop Reactively Patching Your Model Every Time and Start Proactive Test-Driven AI Development Unresolved cited work

Reference 46

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source=arxiv_source observed=2026-08-02T07:40:17.724204Z digest=sha256:f55fc857015ca7109bb12507e12e253eb9543a56e7520460190c46de2cb38cc0

Observation 746c5bb5-cd69-4520-982a-1ef8bf83b7e9 · outbound

This paper cites European Conference on Computer Vision , pages=.

Position: Stop Reactively Patching Your Model Every Time and Start Proactive Test-Driven AI Development European Conference on Computer Vision , pages=

Reference 47

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source=arxiv_source observed=2026-08-02T07:40:17.775367Z digest=sha256:2c8c8d56320c6fac994dff90bc52059b446fb7ce45fa74e0421aaa094a8d8535

Observation dd85f4fe-5239-4949-89ba-8c79e8ae304e · outbound

This paper cites Beyond Accuracy: Behavioral Testing of NLP models with CheckList.

Position: Stop Reactively Patching Your Model Every Time and Start Proactive Test-Driven AI Development Beyond Accuracy: Behavioral Testing of NLP models with CheckList

Reference 48

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source=arxiv_source observed=2026-08-02T07:40:17.900025Z digest=sha256:97dd3dd32881972c4167ca799875c7176ba23d8603e228f0a783888fa9ad2666

Observation 30de3843-e6f5-4105-b1f5-dda96f9c612e · outbound

This paper cites Advances in neural information processing systems , volume=.

Position: Stop Reactively Patching Your Model Every Time and Start Proactive Test-Driven AI Development Advances in neural information processing systems , volume=

Reference 49

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source=arxiv_source observed=2026-08-02T07:40:18.035186Z digest=sha256:5eb274d21a9c675abf4076058704fb97fd5ef19186f1ce6a8e627adbc0a542b2

Observation b2e2927d-5df2-4e6e-a185-c8a8860242bf · outbound

This paper cites 2020 IEEE International Conference on Software Maintenance and Evolution (ICSME) , pages=.

Position: Stop Reactively Patching Your Model Every Time and Start Proactive Test-Driven AI Development 2020 IEEE International Conference on Software Maintenance and Evolution (ICSME) , pages=

Reference 50

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source=arxiv_source observed=2026-08-02T07:40:18.121442Z digest=sha256:694e8b740cb3fee02ce1116e2219405bed2ac60c098b5725c72ce7c561ab7536

Observation 79a688d6-6ac4-4704-aae6-014f0ed55e1a · outbound

This paper cites Advances in neural information processing systems , volume=.

Position: Stop Reactively Patching Your Model Every Time and Start Proactive Test-Driven AI Development Advances in neural information processing systems , volume=

Reference 51

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source=arxiv_source observed=2026-08-02T07:40:18.178981Z digest=sha256:48a946aa642188239d3e3822733932139bbd142f1769f6b7ee22e3b40e1446fe

Observation 24ed7b42-b4ef-4c56-b61a-3eab38cb92cb · outbound

This paper cites Red Teaming Language Models with Language Models.

Position: Stop Reactively Patching Your Model Every Time and Start Proactive Test-Driven AI Development Red Teaming Language Models with Language Models

Reference 52

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source=arxiv_source observed=2026-08-02T07:40:18.312826Z digest=sha256:70cb3449978e17c38484b1bc88853149415a151b3086a30d2e9eee5eb4b0c18f

Observation 9e8f5090-2a01-4025-b685-c5d0c5e104b1 · outbound

This paper cites Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers) , pages=.

Position: Stop Reactively Patching Your Model Every Time and Start Proactive Test-Driven AI Development Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers) , pages=

Reference 53

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source=arxiv_source observed=2026-08-02T07:40:18.447598Z digest=sha256:936138f8fbc351dd66d2d4a6e52f29ab8138a09826450d6736d33a827b20ff36

Observation d13459c7-db46-46d0-8bb6-aa92ed3a26c1 · outbound

This paper cites Lessons From Red Teaming 100 Generative AI Products.

Position: Stop Reactively Patching Your Model Every Time and Start Proactive Test-Driven AI Development Lessons From Red Teaming 100 Generative AI Products

Reference 54

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source=arxiv_source observed=2026-08-02T07:40:18.525826Z digest=sha256:604ff6c348232e82743efa6e04916a452caeb579c71c1418650f555c3dcc7bbc

Observation 5d9d8470-63e6-4d2f-b797-9feacfd0f2e1 · outbound

This paper cites Proceedings of the IEEE conference on computer vision and pattern recognition , pages=.

Position: Stop Reactively Patching Your Model Every Time and Start Proactive Test-Driven AI Development Proceedings of the IEEE conference on computer vision and pattern recognition , pages=

Reference 55

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source=arxiv_source observed=2026-08-02T07:40:18.616778Z digest=sha256:861add782a69ea62d6c519ba694d78b93aa1c8abdf4c6faebe901b3dd700e277

Observation 0b6695a7-e756-4490-a3a2-b0cc6f43cf35 · outbound

This paper cites an unresolved cited work.

Position: Stop Reactively Patching Your Model Every Time and Start Proactive Test-Driven AI Development Unresolved cited work

Reference 56

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source=arxiv_source observed=2026-08-02T07:40:18.699497Z digest=sha256:15423bf2dc6be285e374fc33a8b22f82a46b918bff8ec533e05e9309794b59fb

Observation b55b2772-981d-4dff-af27-be6f089c36ce · outbound

This paper cites 2022 , publisher=.

Position: Stop Reactively Patching Your Model Every Time and Start Proactive Test-Driven AI Development 2022 , publisher=

Reference 57

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source=arxiv_source observed=2026-08-02T07:40:18.786848Z digest=sha256:b6c4e3a0fa10fb5f42274395593708c20878ad8cb209c9162d2dc4f171dc8cba

Observation 76ce774c-5141-4789-ba3d-3bba26239ad2 · outbound

This paper cites Universal and Transferable Adversarial Attacks on Aligned Language Models.

Position: Stop Reactively Patching Your Model Every Time and Start Proactive Test-Driven AI Development Universal and Transferable Adversarial Attacks on Aligned Language Models

Reference 58

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source=arxiv_source observed=2026-08-02T07:40:18.870388Z digest=sha256:ee09d997771eddc88ab216d99ccd7ef4e108d28b24a67e3766e7fefa21f1fb38

Observation c27eb07c-40b3-4ba4-9d28-e7929d154d3b · outbound

This paper cites and Schneider, Jeff G.

Position: Stop Reactively Patching Your Model Every Time and Start Proactive Test-Driven AI Development and Schneider, Jeff G

Reference 59

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source=arxiv_source observed=2026-08-02T07:40:18.934744Z digest=sha256:88ea16b049e6c737a54e7f7b430e0499b1ef5615a6cb115201ac20c8bb2b34a7

Observation bd5e8458-d3b9-4307-aeeb-cfd3067c686c · outbound

This paper cites Proceedings of the 2nd AAAI Conference on Human Computation and Crowdsourcing (HCOMP) , year =.

Position: Stop Reactively Patching Your Model Every Time and Start Proactive Test-Driven AI Development Proceedings of the 2nd AAAI Conference on Human Computation and Crowdsourcing (HCOMP) , year =

Reference 60

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source=arxiv_source observed=2026-08-02T07:40:19.000097Z digest=sha256:b625553c89e62d40f6b9f1398047dad4a71c6e86614a490eb48c1943202a324a

Observation 9ee72a04-8c04-421e-ba1f-29e1b04c15ba · outbound

This paper cites Proceedings of the European Conference on Information Retrieval (ECIR) , series =.

Position: Stop Reactively Patching Your Model Every Time and Start Proactive Test-Driven AI Development Proceedings of the European Conference on Information Retrieval (ECIR) , series =

Reference 61

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source=arxiv_source observed=2026-08-02T07:40:19.084057Z digest=sha256:363ad8c93f341ca21743d0b312d233bd6e0bdf40c1fb74bb20b319b30243391a

Observation 4dfcdb07-f7d2-4391-9a49-353774d76e11 · outbound

This paper cites , title =.

Position: Stop Reactively Patching Your Model Every Time and Start Proactive Test-Driven AI Development , title =

Reference 62

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source=arxiv_source observed=2026-08-02T07:40:19.175209Z digest=sha256:729ce8110ee6087ca4228a254f38016d1dde5b82aaac39c8c7b50c6f6f2e9e58

Observation 4480b3cf-82f7-4601-be73-f4d198f672fc · outbound

This paper cites and Oh, Sewoong and Shah, Devavrat , title =.

Position: Stop Reactively Patching Your Model Every Time and Start Proactive Test-Driven AI Development and Oh, Sewoong and Shah, Devavrat , title =

Reference 63

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source=arxiv_source observed=2026-08-02T07:40:19.265131Z digest=sha256:d2c6bee364fc8e982d945dd3d5285ca38095f7635eac0e68276cf5c885132f89

Observation bfa43564-1141-46b0-b257-f3763b132256 · outbound

This paper cites Philip and Skene, Allan M.

Position: Stop Reactively Patching Your Model Every Time and Start Proactive Test-Driven AI Development Philip and Skene, Allan M

Reference 64

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source=arxiv_source observed=2026-08-02T07:40:19.347293Z digest=sha256:24d474e5b3aeb64a371cd18ed33e4b0ce555f20ad268aa82db730f568ebb6cee

Observation 03da8990-38eb-49a2-9eaa-80d8ed5df106 · outbound

This paper cites Whose Vote Should Count More: Optimal Integration of Labels from Labelers of Unknown Expertise , booktitle =.

Position: Stop Reactively Patching Your Model Every Time and Start Proactive Test-Driven AI Development Whose Vote Should Count More: Optimal Integration of Labels from Labelers of Unknown Expertise , booktitle =

Reference 65

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source=arxiv_source observed=2026-08-02T07:40:19.425369Z digest=sha256:6128a3475c7e9dc3ebc2f6b63e30661c434889a7820a60d3a162bd6bd8288865

Observation 8ea60886-a293-439b-a77f-a92fae084e28 · outbound

This paper cites , title =.

Position: Stop Reactively Patching Your Model Every Time and Start Proactive Test-Driven AI Development , title =

Reference 66

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source=arxiv_source observed=2026-08-02T07:40:19.556516Z digest=sha256:f7b24f6dd3a83afded7d370ec4fa17acf879d91a123fd9adf84efae2d3311992

Observation d505af90-02fa-4277-8e96-e184f699ed13 · outbound

This paper cites and Kesidis, George , title =.

Position: Stop Reactively Patching Your Model Every Time and Start Proactive Test-Driven AI Development and Kesidis, George , title =

Reference 67

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source=arxiv_source observed=2026-08-02T07:40:19.840274Z digest=sha256:066c09afee8a8e00e231b9fa648562fa7bae4c56dec39b4b7124f96e07e3a555

Observation 82410fb8-fec6-4bd9-9dee-2622272fec4d · outbound

This paper cites Proceedings of the 1st AAAI Conference on Human Computation and Crowdsourcing (HCOMP) , year =.

Position: Stop Reactively Patching Your Model Every Time and Start Proactive Test-Driven AI Development Proceedings of the 1st AAAI Conference on Human Computation and Crowdsourcing (HCOMP) , year =

Reference 68

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source=arxiv_source observed=2026-08-02T07:40:20.124554Z digest=sha256:6254bcd702ad73c914af9afdd6948d599e85579e00ffc561117733a3f0a363c9

Observation e0bd85df-05ec-47f4-ae9b-9d6bb0b0e55f · outbound

This paper cites and Lintott, Chris J.

Position: Stop Reactively Patching Your Model Every Time and Start Proactive Test-Driven AI Development and Lintott, Chris J

Reference 69

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source=arxiv_source observed=2026-08-02T07:40:20.520347Z digest=sha256:b382afd3c8e7bcaba0deae3a477694caadc17f6d3e0e390a7ee565146ce12c81

Observation 8943350f-fd3f-4626-8c44-01b64c8a276f · outbound

This paper cites Proceedings of the 24th International Joint Conference on Artificial Intelligence (IJCAI) , year =.

Position: Stop Reactively Patching Your Model Every Time and Start Proactive Test-Driven AI Development Proceedings of the 24th International Joint Conference on Artificial Intelligence (IJCAI) , year =

Reference 70

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source=arxiv_source observed=2026-08-02T07:40:20.574753Z digest=sha256:9e899c1f13edd359083410331c35b1ca40365378c81e981d753129c27f1fe0a5

Observation bf4c4392-dd0a-42a2-b47e-e7ea3c278c7a · outbound

This paper cites , title =.

Position: Stop Reactively Patching Your Model Every Time and Start Proactive Test-Driven AI Development , title =

Reference 71

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source=arxiv_source observed=2026-08-02T07:40:20.631101Z digest=sha256:0d51a25e862f461e560d5e96d1e0db86cfd9fc99e273406819b765c4b5eedb0a

Observation 1c38fe0d-b0bd-4743-ac68-845bde35cebd · outbound

This paper cites OpenAI’s CEO says the age of giant AI models is already over , url=.

Position: Stop Reactively Patching Your Model Every Time and Start Proactive Test-Driven AI Development OpenAI’s CEO says the age of giant AI models is already over , url=

Reference 72

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source=arxiv_source observed=2026-08-02T07:40:20.691328Z digest=sha256:cb6b7ee9928616ea6c4c396003bbb867b78ead15eb7cfbbedaffd27ff2406475

Observation ed612d84-5597-424c-bc75-1ca6ddd9b4b7 · outbound

This paper cites Management Science , volume=.

Position: Stop Reactively Patching Your Model Every Time and Start Proactive Test-Driven AI Development Management Science , volume=

Reference 73

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source=arxiv_source observed=2026-08-02T07:40:20.749968Z digest=sha256:8477895a8bc5432764b8f786e2b14ee7fc24697ad870ab37590eefad318490d5

Observation 5444d387-a0aa-4ae6-b7c0-82a37a282e23 · outbound

This paper cites IEEE Transactions on Information Theory , volume=.

Position: Stop Reactively Patching Your Model Every Time and Start Proactive Test-Driven AI Development IEEE Transactions on Information Theory , volume=

Reference 74

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source=arxiv_source observed=2026-08-02T07:40:20.820397Z digest=sha256:6a2b9f9576102a6bf8e07be484d29c6140f44b825628a2a17dd48230818454f6

Observation 0af1557a-f5e6-4cd8-8a61-92974724793d · outbound

This paper cites an unresolved cited work.

Position: Stop Reactively Patching Your Model Every Time and Start Proactive Test-Driven AI Development Unresolved cited work

Reference 75

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source=arxiv_source observed=2026-08-02T07:40:20.902307Z digest=sha256:daa6539b3f58f83ba6938496c5af987bf35e02cd1aa1c62d249851be621c2927

Observation fe7e4040-e7e3-44e0-95fb-0203542fde3e · outbound

This paper cites Advances in Neural Information Processing Systems , volume=.

Position: Stop Reactively Patching Your Model Every Time and Start Proactive Test-Driven AI Development Advances in Neural Information Processing Systems , volume=

Reference 76

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source=arxiv_source observed=2026-08-02T07:40:20.974924Z digest=sha256:e4a1c77c808e81d41ed3d46d8bb054d9fdb0c9d9ad5f5d0f0d2298f1ebee4e98

Observation da8db5bc-0657-48d7-b2a9-482d36e9979f · outbound

This paper cites BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding.

Position: Stop Reactively Patching Your Model Every Time and Start Proactive Test-Driven AI Development BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Reference 77

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source=arxiv_source observed=2026-08-02T07:40:21.016634Z digest=sha256:161636239056da7d8ba3524ba069fd803e6b1d3b20bb138cba68d13b6cf45c7c

Observation 4ce77dd9-b1dc-4377-8269-e1ae2505b411 · outbound

This paper cites Journal of machine learning research , volume=.

Position: Stop Reactively Patching Your Model Every Time and Start Proactive Test-Driven AI Development Journal of machine learning research , volume=

Reference 78

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source=arxiv_source observed=2026-08-02T07:40:21.074778Z digest=sha256:6a6fb51bba5a48f062a9300698bd52321e23326ba28f697daf28b1bdfe3f7bf7

Observation 104ae1d1-c215-470f-9027-3e86297f92de · outbound

This paper cites Amazon , publisher=.

Position: Stop Reactively Patching Your Model Every Time and Start Proactive Test-Driven AI Development Amazon , publisher=

Reference 79

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source=arxiv_source observed=2026-08-02T07:40:21.130259Z digest=sha256:b79c6c6bbf81d3bb64d0a0b3dfba347e52d37513280611d4eb50a8b7f976d5eb

Observation 102ff7c2-244f-40df-852d-eeaebfe8d04e · outbound

This paper cites Advances in Neural Information Processing Systems , volume=.

Position: Stop Reactively Patching Your Model Every Time and Start Proactive Test-Driven AI Development Advances in Neural Information Processing Systems , volume=

Reference 80

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source=arxiv_source observed=2026-08-02T07:40:21.188442Z digest=sha256:f4e2188d438868796417e313e3c75f007caf352598f919fc12a575bc2871bdbb

Observation effa4ab2-2cbd-4e80-a639-4ee37bca3dae · outbound

This paper cites Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition , pages=.

Position: Stop Reactively Patching Your Model Every Time and Start Proactive Test-Driven AI Development Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition , pages=

Reference 81

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source=arxiv_source observed=2026-08-02T07:40:21.261536Z digest=sha256:b06916c11af8bb78cf199a2977586f9ec79ab98440115ec6c146fafd1eba095e

Observation c6880f53-b816-4ae4-87b7-2960b2736cbc · outbound

This paper cites 2019 , month =.

Position: Stop Reactively Patching Your Model Every Time and Start Proactive Test-Driven AI Development 2019 , month =

Reference 82

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source=arxiv_source observed=2026-08-02T07:40:21.273216Z digest=sha256:ac4dbbfed677f1c3a22a9a960286ae0b2b6ec1a1840c867680ea1650c251ec5a

Observation 6219c10f-a637-44fe-a16a-2160450f0a41 · outbound

This paper cites Foundations and Trends.

Position: Stop Reactively Patching Your Model Every Time and Start Proactive Test-Driven AI Development Foundations and Trends

Reference 83

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source=arxiv_source observed=2026-08-02T07:40:21.275663Z digest=sha256:a78f80039aaa9379e83c777c084735a13d6739f26e81858349fb58183d6db74e

Observation fd7cf958-87e0-408d-8f28-aca80ebd8f08 · outbound

This paper cites Proceedings of the IEEE , year=.

Position: Stop Reactively Patching Your Model Every Time and Start Proactive Test-Driven AI Development Proceedings of the IEEE , year=

Reference 84

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source=arxiv_source observed=2026-08-02T07:40:21.314606Z digest=sha256:33df35cde54d06862ab946761ddae71d2fbe8fe5d89017ef05376822421628f3

Observation 01242607-de1e-48eb-bd6c-2bc1c4116a9f · outbound

This paper cites Advances in Neural Information Processing Systems , volume=.

Position: Stop Reactively Patching Your Model Every Time and Start Proactive Test-Driven AI Development Advances in Neural Information Processing Systems , volume=

Reference 85

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source=arxiv_source observed=2026-08-02T07:40:21.368739Z digest=sha256:4a1bfd244ed6dde3023d1d0b71e1fce4cb31ecb5fcdee761647ded0629d1eede

Observation 6021b8c6-f674-4f97-a513-43d0a8e36207 · outbound

This paper cites Operations Research , volume=.

Position: Stop Reactively Patching Your Model Every Time and Start Proactive Test-Driven AI Development Operations Research , volume=

Reference 86

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source=arxiv_source observed=2026-08-02T07:40:21.445922Z digest=sha256:ce5b1391285512219b2a5e76abcbdf5d6e31521e96f945c6b96caabb9660cde7

Observation c48c80f7-a8c9-403c-b189-40affaef13aa · outbound

This paper cites 1991 , publisher=.

Position: Stop Reactively Patching Your Model Every Time and Start Proactive Test-Driven AI Development 1991 , publisher=

Reference 87

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source=arxiv_source observed=2026-08-02T07:40:21.534029Z digest=sha256:fbcff3813371a716c82c322d70cd1f5e9dabdeaf90042fb0e1c463f358ddeb45

Observation b387bc62-8ea1-4fde-83e4-8be9b046b1f9 · outbound

This paper cites 2018 , publisher=.

Position: Stop Reactively Patching Your Model Every Time and Start Proactive Test-Driven AI Development 2018 , publisher=

Reference 88

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source=arxiv_source observed=2026-08-02T07:40:21.605083Z digest=sha256:839725196bb0a7bd9df53719a8475b9b8c00503d0a012a4662c85f0343a5a46d

Observation 4aaa6771-ece0-467a-90a8-cc7533dcee31 · outbound

This paper cites 2019 , publisher=.

Position: Stop Reactively Patching Your Model Every Time and Start Proactive Test-Driven AI Development 2019 , publisher=

Reference 89

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source=arxiv_source observed=2026-08-02T07:40:21.731151Z digest=sha256:083bc638c645a8924c9e329abd54a930ad20c08879937fec37e616d97cc9d7b9

Observation 80a1d2e3-b251-4a5d-baf6-d473b148f092 · outbound

This paper cites Active One-shot Learning.

Position: Stop Reactively Patching Your Model Every Time and Start Proactive Test-Driven AI Development Active One-shot Learning

Reference 90

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source=arxiv_source observed=2026-08-02T07:40:21.834933Z digest=sha256:7a5622fe29426b49d52338108d40452dc2be5229aa88896eff8b58dbd2d8fb9b

Observation 84c2d423-d385-4172-a8f4-c2c16c9f7800 · outbound

This paper cites Wandering Within a World: Online Contextualized Few-Shot Learning.

Position: Stop Reactively Patching Your Model Every Time and Start Proactive Test-Driven AI Development Wandering Within a World: Online Contextualized Few-Shot Learning

Reference 91

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source=arxiv_source observed=2026-08-02T07:40:21.904051Z digest=sha256:766a8290ea35b989f59795c6547b6fa8affa4ece98f22cc7ffdb04916ad685a6

Observation 33dac4da-4e35-467d-955f-39f2b723e9aa · outbound

This paper cites Meta-Learning for Semi-Supervised Few-Shot Classification.

Position: Stop Reactively Patching Your Model Every Time and Start Proactive Test-Driven AI Development Meta-Learning for Semi-Supervised Few-Shot Classification

Reference 92

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source=arxiv_source observed=2026-08-02T07:40:21.976783Z digest=sha256:27e6b63e5831b8210f6402f232a138ce7dfd4cf43dc3ce53ad5af2aaa2f2c468

Observation 01ef6343-61ae-46fe-ba82-2fc576fe97c2 · outbound

This paper cites Meta-Dataset: A Dataset of Datasets for Learning to Learn from Few Examples.

Position: Stop Reactively Patching Your Model Every Time and Start Proactive Test-Driven AI Development Meta-Dataset: A Dataset of Datasets for Learning to Learn from Few Examples

Reference 93

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source=arxiv_source observed=2026-08-02T07:40:22.094772Z digest=sha256:e8eb359f3e6a7a539e38f534f25bff3db734256e7c37cb6eb89b9164a64f0748

Observation 964ae50e-51d6-4b35-8db7-8aaf46131b89 · outbound

This paper cites Submitted to International Conference on Learning Representations , year=.

Position: Stop Reactively Patching Your Model Every Time and Start Proactive Test-Driven AI Development Submitted to International Conference on Learning Representations , year=

Reference 94

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source=arxiv_source observed=2026-08-02T07:40:22.173080Z digest=sha256:119a31dce458fe9584eb70e5df81d997545837087f39e2a8f17ba5612e0fed3b

Observation f1befb5a-86a8-4c8e-8339-7ce9a9118c56 · outbound

This paper cites Learning Algorithms for Active Learning.

Position: Stop Reactively Patching Your Model Every Time and Start Proactive Test-Driven AI Development Learning Algorithms for Active Learning

Reference 95

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source=arxiv_source observed=2026-08-02T07:40:22.294750Z digest=sha256:b48123b306e52f118732a469710502a13c90953df9ab4d0068b7b5df52ab0a7c

Observation 8f65f520-bada-4c74-9a15-0a935168f479 · outbound

This paper cites GPTs are GPTs: An Early Look at the Labor Market Impact Potential of Large Language Models.

Position: Stop Reactively Patching Your Model Every Time and Start Proactive Test-Driven AI Development GPTs are GPTs: An Early Look at the Labor Market Impact Potential of Large Language Models

Reference 96

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no resolver link, observed 2026-08-02T07:40:22.405327Z

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source=arxiv_source observed=2026-08-02T07:40:22.405327Z digest=sha256:488b882d3817a1ba1ab03deae6465edf4f31bf71b58d10efc4b1cc8a694b1507

Observation 005fcc53-9898-4ddd-8abf-bd2d926b6164 · outbound

This paper cites Domain Adaptation for Semantic Segmentation via Class-Balanced Self-Training.

Position: Stop Reactively Patching Your Model Every Time and Start Proactive Test-Driven AI Development Domain Adaptation for Semantic Segmentation via Class-Balanced Self-Training

Reference 97

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source=arxiv_source observed=2026-08-02T07:40:22.476372Z digest=sha256:3da382954ffcf010219e1112deea32cb553039902503339bff30d59858c84e06

Observation f51643bc-a35c-468a-980b-bc0e23b262c9 · outbound

This paper cites Small-GAN: Speeding Up GAN Training Using Core-sets.

Position: Stop Reactively Patching Your Model Every Time and Start Proactive Test-Driven AI Development Small-GAN: Speeding Up GAN Training Using Core-sets

Reference 98

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source=arxiv_source observed=2026-08-02T07:40:22.538228Z digest=sha256:493195fe68127ee3d594aae09da5cff707b1cb255b4916f5cd273f6066bb7095

Observation e83504a9-ffe1-41a5-959e-85de6ae36610 · outbound

This paper cites 2023 , eprint=.

Position: Stop Reactively Patching Your Model Every Time and Start Proactive Test-Driven AI Development 2023 , eprint=

Reference 99

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no resolver link, observed 2026-08-02T07:40:22.596181Z

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source=arxiv_source observed=2026-08-02T07:40:22.596181Z digest=sha256:d80b9010eae8a88f4aa303106435fd2b4dfc7993c1261145db3d690cdf1c8831

Observation 6015f483-292e-44b9-8ed1-6e39eb104f17 · outbound

This paper cites The Journal of Machine Learning Research , volume=.

Position: Stop Reactively Patching Your Model Every Time and Start Proactive Test-Driven AI Development The Journal of Machine Learning Research , volume=

Reference 100

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source=arxiv_source observed=2026-08-02T07:40:22.704753Z digest=sha256:ffc487539a8260fca6b2878cff79a10cdbfd88ffc2d6b51cc9c238601d4cf8c4

Pith citing papers

No inbound Pith citation observations are available.