{"as_of":"2026-08-11T14:57:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:454ab444a44d709ab9bcaf3cdb704a4f435e19ed8bf10edd9d76ed918186bbf9","coverage":[{"denominator":39,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":39,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-10T19:26:31.612808Z","state":"measured"},{"denominator":39,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":39,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-11T06:34:44.6726+00:00","state":"measured"},{"denominator":0,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[],"links":{"evidence":"/evidence","html":"/paper/2501.10037/citation-record","integrity":"/paper/2501.10037/integrity","json":"/paper/2501.10037/citation-record.json","paper":"/paper/2501.10037"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T19:26:32.245765Z","title":"Software engineering practices for scientific software de velopment: A systematic mapping study,","venue":null,"work_id":"58e4ba45-bbb5-4373-bb71-a49585e583e9","year":2021},"citing_paper":{"arxiv_id":"2501.10037","last_updated":"2025-01-17T08:47:29Z","snapshot_observed_at":"2026-08-10T19:21:30.702561Z","submitted_at":"2025-01-17T08:47:29Z","title":"Exploring Code Comprehension in Scientific Programming: Preliminary Insights from Research Scientists","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-10T19:26:31.411759Z"},"links":{"citing_paper":"/paper/2501.10037"},"observation_digest":"sha256:e4ec7017ee3150f7ecf83aaff727ca5a2d6d72190f0bdf778179417d52b871a3","observation_id":"84bf360b-7474-4c0a-bd08-5c8f75322659","resolution":{"observed_at":"2026-08-10T19:26:32.250759Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T19:26:32.230135Z","title":"V aughan, Python Tools for Scientists: An Introduction to Using Anaconda, JupyterLab, and Python’s Scientific Libraries","venue":null,"work_id":"e12d10b5-e3ca-4227-a845-2909a715336f","year":2023},"citing_paper":{"arxiv_id":"2501.10037","last_updated":"2025-01-17T08:47:29Z","snapshot_observed_at":"2026-08-10T19:21:30.702561Z","submitted_at":"2025-01-17T08:47:29Z","title":"Exploring Code Comprehension in Scientific Programming: Preliminary Insights from Research Scientists","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-10T19:26:31.417806Z"},"links":{"citing_paper":"/paper/2501.10037"},"observation_digest":"sha256:b1d211c38f032dcedadd1cef8873dab94fe10e04e58c93e58f6656d05377e5f6","observation_id":"2a250831-17c1-4d73-aa48-d49c0f46a679","resolution":{"observed_at":"2026-08-10T19:26:32.235312Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T19:26:32.214752Z","title":"How do scientists develop and use scientific soft ware?,","venue":null,"work_id":"bde11177-fcca-4c2c-a2fb-aaba09bf5159","year":2009},"citing_paper":{"arxiv_id":"2501.10037","last_updated":"2025-01-17T08:47:29Z","snapshot_observed_at":"2026-08-10T19:21:30.702561Z","submitted_at":"2025-01-17T08:47:29Z","title":"Exploring Code Comprehension in Scientific Programming: Preliminary Insights from Research Scientists","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-10T19:26:31.423660Z"},"links":{"citing_paper":"/paper/2501.10037"},"observation_digest":"sha256:70ec1f3b98c73450b25ee4540e6728b4f60f152c182163eb12c5a4b4592a0416","observation_id":"245fa751-c294-4b77-bfd3-e2b63deacfd5","resolution":{"observed_at":"2026-08-10T19:26:32.219912Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T19:26:32.199510Z","title":"A survey of the practice of computational s cience,","venue":null,"work_id":"75c2582a-7fc9-420d-b78c-bbd9197b8fff","year":2011},"citing_paper":{"arxiv_id":"2501.10037","last_updated":"2025-01-17T08:47:29Z","snapshot_observed_at":"2026-08-10T19:21:30.702561Z","submitted_at":"2025-01-17T08:47:29Z","title":"Exploring Code Comprehension in Scientific Programming: Preliminary Insights from Research Scientists","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-10T19:26:31.429448Z"},"links":{"citing_paper":"/paper/2501.10037"},"observation_digest":"sha256:470b4b3f4a46fd77e2a4c807c80440240a7ae0d9b433782d96deeb3a8f559bca","observation_id":"b77624bb-24c1-4839-98f5-3f890232f72a","resolution":{"observed_at":"2026-08-10T19:26:32.204515Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T19:26:32.184460Z","title":"Program comprehension du ring software maintenance and evolution,","venue":null,"work_id":"2cd3e0cb-993c-4023-bb9d-1fe879dfca34","year":1995},"citing_paper":{"arxiv_id":"2501.10037","last_updated":"2025-01-17T08:47:29Z","snapshot_observed_at":"2026-08-10T19:21:30.702561Z","submitted_at":"2025-01-17T08:47:29Z","title":"Exploring Code Comprehension in Scientific Programming: Preliminary Insights from Research Scientists","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-10T19:26:31.435014Z"},"links":{"citing_paper":"/paper/2501.10037"},"observation_digest":"sha256:d4e08d4e29f94e3a91a6e83a8b9e77b252dd47dec906c5a194ae32cc2143aa91","observation_id":"447af4c9-e6bc-40fc-98bf-ff476910bbad","resolution":{"observed_at":"2026-08-10T19:26:32.189608Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T19:26:32.169576Z","title":"Meas uring Pro- gram Comprehension: A Large-Scale Field Study with Profess ionals,","venue":null,"work_id":"14e4a7ef-df4e-4bd0-bbe6-f73552f9b0cf","year":2018},"citing_paper":{"arxiv_id":"2501.10037","last_updated":"2025-01-17T08:47:29Z","snapshot_observed_at":"2026-08-10T19:21:30.702561Z","submitted_at":"2025-01-17T08:47:29Z","title":"Exploring Code Comprehension in Scientific Programming: Preliminary Insights from Research Scientists","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-10T19:26:31.440330Z"},"links":{"citing_paper":"/paper/2501.10037"},"observation_digest":"sha256:8c548ce64c9f028d630328f66e43d734e72fcbaf18c53285fc05052699b28f6a","observation_id":"3c484684-c176-4919-89ee-a02dba258f78","resolution":{"observed_at":"2026-08-10T19:26:32.174682Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T19:26:32.154545Z","title":"Reassessing Java Code Readability Models w ith a Human-Centered Approach,","venue":null,"work_id":"d8f6004a-666c-40b6-852b-ccdb945d5683","year":null},"citing_paper":{"arxiv_id":"2501.10037","last_updated":"2025-01-17T08:47:29Z","snapshot_observed_at":"2026-08-10T19:21:30.702561Z","submitted_at":"2025-01-17T08:47:29Z","title":"Exploring Code Comprehension in Scientific Programming: Preliminary Insights from Research Scientists","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-10T19:26:31.446485Z"},"links":{"citing_paper":"/paper/2501.10037"},"observation_digest":"sha256:bfac5688e06477af90760c77e3881c3a8b2ef202ac6ac1417dd31054778b8f5e","observation_id":"0586b614-d5c3-47a7-b202-18bb7c6c219f","resolution":{"observed_at":"2026-08-10T19:26:32.159841Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T19:26:32.139478Z","title":"Linguistic antipatterns: what they are and how developers perceive them,","venue":null,"work_id":"d9ba5794-e3e9-4378-ab37-0cd0e9d22418","year":2016},"citing_paper":{"arxiv_id":"2501.10037","last_updated":"2025-01-17T08:47:29Z","snapshot_observed_at":"2026-08-10T19:21:30.702561Z","submitted_at":"2025-01-17T08:47:29Z","title":"Exploring Code Comprehension in Scientific Programming: Preliminary Insights from Research Scientists","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-10T19:26:31.451765Z"},"links":{"citing_paper":"/paper/2501.10037"},"observation_digest":"sha256:2b354f916ed16e05278d208ebaad9f5924daf9605e64d0bbc74c5d3e2d7bbea1","observation_id":"8ba17462-3cf0-4cd2-be82-9ab33c3cb7f3","resolution":{"observed_at":"2026-08-10T19:26:32.144545Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T19:26:32.123985Z","title":"A Survey on Renamings of S oftware Entities,","venue":null,"work_id":"de9a818d-c087-4060-9666-4c047a787888","year":2020},"citing_paper":{"arxiv_id":"2501.10037","last_updated":"2025-01-17T08:47:29Z","snapshot_observed_at":"2026-08-10T19:21:30.702561Z","submitted_at":"2025-01-17T08:47:29Z","title":"Exploring Code Comprehension in Scientific Programming: Preliminary Insights from Research Scientists","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-10T19:26:31.456965Z"},"links":{"citing_paper":"/paper/2501.10037"},"observation_digest":"sha256:d8b0bd4a1912ca89a827fa35917a6a1e1a9504c1d887610f9fe9b159883ebafb","observation_id":"486774c6-b099-48ae-8f63-f0e38c05a9db","resolution":{"observed_at":"2026-08-10T19:26:32.129290Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2007.08033","last_updated":"2020-07-15T23:10:43Z","snapshot_observed_at":"2026-07-06T09:38:38.356567Z","submitted_at":"2020-07-15T23:10:43Z","title":"On the Generation, Structure, and Semantics of Grammar Patterns in Source Code Identifiers","version":1},"cited_work":{"arxiv_id":"2007.08033","doi":null,"metadata_source":"pith","pith_arxiv_id":"2007.08033","snapshot_observed_at":"2026-08-10T19:26:31.661030Z","title":"On the Generation, Structure, and Semantics of Grammar Patterns in Source Code Identifiers","venue":"cs.SE","work_id":"4a40892e-5c94-406b-8610-e6976054bec4","year":2020},"citing_paper":{"arxiv_id":"2501.10037","last_updated":"2025-01-17T08:47:29Z","snapshot_observed_at":"2026-08-10T19:21:30.702561Z","submitted_at":"2025-01-17T08:47:29Z","title":"Exploring Code Comprehension in Scientific Programming: Preliminary Insights from Research Scientists","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-10T19:26:31.462064Z"},"links":{"cited_paper":"/paper/2007.08033","citing_paper":"/paper/2501.10037"},"observation_digest":"sha256:280c2142975e181522cfb2f4560d92734381c042f1b4b2fcba428436ebfd3697","observation_id":"73697a66-f979-47bb-a2bd-37061403a47e","resolution":{"observed_at":"2026-08-10T19:26:31.668066Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T19:26:32.108667Z","title":"What’s in a Name? A Study of Identifiers,","venue":null,"work_id":"b3b73ae8-0043-4df8-8472-bd0e444f9a2b","year":2006},"citing_paper":{"arxiv_id":"2501.10037","last_updated":"2025-01-17T08:47:29Z","snapshot_observed_at":"2026-08-10T19:21:30.702561Z","submitted_at":"2025-01-17T08:47:29Z","title":"Exploring Code Comprehension in Scientific Programming: Preliminary Insights from Research Scientists","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-10T19:26:31.467703Z"},"links":{"citing_paper":"/paper/2501.10037"},"observation_digest":"sha256:2b9a7e5d9271466957e53135584957ae30fdfef0d0e8521ca30f67779a6ba85c","observation_id":"43a3af11-1066-400d-b1ea-7228b2738f51","resolution":{"observed_at":"2026-08-10T19:26:32.113686Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T19:26:32.093296Z","title":"A Systematic Literature Review on Empirical A nalysis of the Relationship Between Code Smells and Software Quality Attr ibutes,","venue":null,"work_id":"70453765-7012-4d8b-a6c7-298b663e3a96","year":2020},"citing_paper":{"arxiv_id":"2501.10037","last_updated":"2025-01-17T08:47:29Z","snapshot_observed_at":"2026-08-10T19:21:30.702561Z","submitted_at":"2025-01-17T08:47:29Z","title":"Exploring Code Comprehension in Scientific Programming: Preliminary Insights from Research Scientists","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-10T19:26:31.473170Z"},"links":{"citing_paper":"/paper/2501.10037"},"observation_digest":"sha256:ad64f367b48643fb43b523ddd4a5a78aa57c80854b474834557190a45c2f0b22","observation_id":"531e5b73-5b61-473f-ae99-0e613ba5b803","resolution":{"observed_at":"2026-08-10T19:26:32.098395Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T19:26:32.078760Z","title":"An eye tracking study assessing source code r eadability rules for program comprehension,","venue":null,"work_id":"479a169b-43f1-44f7-9211-8ddb06876f61","year":2024},"citing_paper":{"arxiv_id":"2501.10037","last_updated":"2025-01-17T08:47:29Z","snapshot_observed_at":"2026-08-10T19:21:30.702561Z","submitted_at":"2025-01-17T08:47:29Z","title":"Exploring Code Comprehension in Scientific Programming: Preliminary Insights from Research Scientists","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-10T19:26:31.478631Z"},"links":{"citing_paper":"/paper/2501.10037"},"observation_digest":"sha256:f513016d6b56498af2e4fb6afe77ed1cfb0325e60bbb8da8664a542ace76c299","observation_id":"0a5869ba-2df7-4037-a89b-e791874f636f","resolution":{"observed_at":"2026-08-10T19:26:32.083352Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T19:26:32.064418Z","title":"40 Y ears of Designi ng Code Comprehension Experiments: A Systematic Mapping Study,","venue":null,"work_id":"c720a7f3-632f-42fb-84ad-5d0de0c0673f","year":2023},"citing_paper":{"arxiv_id":"2501.10037","last_updated":"2025-01-17T08:47:29Z","snapshot_observed_at":"2026-08-10T19:21:30.702561Z","submitted_at":"2025-01-17T08:47:29Z","title":"Exploring Code Comprehension in Scientific Programming: Preliminary Insights from Research Scientists","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-10T19:26:31.484278Z"},"links":{"citing_paper":"/paper/2501.10037"},"observation_digest":"sha256:69c90bdecc2201613a053df313b913c0f23e971af871c345a18145d975fd3df3","observation_id":"b3f3f943-8ea2-4be4-b34a-013add3d2009","resolution":{"observed_at":"2026-08-10T19:26:32.069387Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T19:26:32.049179Z","title":"Exploration and Ex planation in Computational Notebooks,","venue":null,"work_id":"25c92f47-d2ad-4daa-bbab-b16fd9aa8c0d","year":2018},"citing_paper":{"arxiv_id":"2501.10037","last_updated":"2025-01-17T08:47:29Z","snapshot_observed_at":"2026-08-10T19:21:30.702561Z","submitted_at":"2025-01-17T08:47:29Z","title":"Exploring Code Comprehension in Scientific Programming: Preliminary Insights from Research Scientists","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-10T19:26:31.489779Z"},"links":{"citing_paper":"/paper/2501.10037"},"observation_digest":"sha256:6c3941e4df165ab10078972b857011da9988715031bfe2e9d9505e2527438742","observation_id":"259dd834-1ee6-479b-bd7b-61f6bf5f221e","resolution":{"observed_at":"2026-08-10T19:26:32.054430Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T19:26:32.033084Z","title":"Scientists and software engineers: A tale of two cultures,","venue":null,"work_id":"ce9b5c3b-b78f-468e-83fd-505784f3356a","year":2008},"citing_paper":{"arxiv_id":"2501.10037","last_updated":"2025-01-17T08:47:29Z","snapshot_observed_at":"2026-08-10T19:21:30.702561Z","submitted_at":"2025-01-17T08:47:29Z","title":"Exploring Code Comprehension in Scientific Programming: Preliminary Insights from Research Scientists","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-10T19:26:31.495036Z"},"links":{"citing_paper":"/paper/2501.10037"},"observation_digest":"sha256:b282f76a3a25903f9293d81172289313f1e0ef034c10ebfaba86915da19999d6","observation_id":"8e0ed542-3b1e-452a-a92e-02ba717e89d9","resolution":{"observed_at":"2026-08-10T19:26:32.038714Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T19:26:32.017419Z","title":"Manag- ing Messes in Computational Notebooks,","venue":null,"work_id":"dc9c5336-f577-465a-9cfa-e67131585517","year":2019},"citing_paper":{"arxiv_id":"2501.10037","last_updated":"2025-01-17T08:47:29Z","snapshot_observed_at":"2026-08-10T19:21:30.702561Z","submitted_at":"2025-01-17T08:47:29Z","title":"Exploring Code Comprehension in Scientific Programming: Preliminary Insights from Research Scientists","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-10T19:26:31.500690Z"},"links":{"citing_paper":"/paper/2501.10037"},"observation_digest":"sha256:cd9615fff763b7ec95f8979b11030ba430b7171be2f7cba3fcbc71f00838b142","observation_id":"1cfb261c-4e84-4a88-b1e5-7bf1a40e7ec8","resolution":{"observed_at":"2026-08-10T19:26:32.022931Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T19:26:32.001739Z","title":"A Comparison of Mac hine Learning Code Quality in Python Scripts and Jupyter Noteboo ks,","venue":null,"work_id":"c4ea24e2-1c63-4d91-b1a3-39315f5e79ea","year":2023},"citing_paper":{"arxiv_id":"2501.10037","last_updated":"2025-01-17T08:47:29Z","snapshot_observed_at":"2026-08-10T19:21:30.702561Z","submitted_at":"2025-01-17T08:47:29Z","title":"Exploring Code Comprehension in Scientific Programming: Preliminary Insights from Research Scientists","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-10T19:26:31.505994Z"},"links":{"citing_paper":"/paper/2501.10037"},"observation_digest":"sha256:e44b4ce67d83edfedf57e7c895a25d1d60313f1b0c6d3d86e8a5fbaa3b29ecb3","observation_id":"c01670de-bff5-4acf-8a1b-971a9d112f28","resolution":{"observed_at":"2026-08-10T19:26:32.006835Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T19:26:31.986272Z","title":"Understanding and improving the quality and reproducibility of Jupyter no tebooks,","venue":null,"work_id":"efe602ef-82ea-42b6-a216-d1f178af0490","year":2021},"citing_paper":{"arxiv_id":"2501.10037","last_updated":"2025-01-17T08:47:29Z","snapshot_observed_at":"2026-08-10T19:21:30.702561Z","submitted_at":"2025-01-17T08:47:29Z","title":"Exploring Code Comprehension in Scientific Programming: Preliminary Insights from Research Scientists","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-10T19:26:31.511242Z"},"links":{"citing_paper":"/paper/2501.10037"},"observation_digest":"sha256:3884d80292a1d462e6f1f01a117a3e922537882653c0a98bdfd1c32c350889ef","observation_id":"82c0ef80-a83e-47f8-8733-01c8940e922f","resolution":{"observed_at":"2026-08-10T19:26:31.991465Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T19:26:31.971286Z","title":"What’s Wrong with Computational Notebooks? Pain Points, N eeds, and Design Opportunities,","venue":null,"work_id":"1ff5d4cc-f9ca-40a6-aba6-b3520ed64c39","year":2020},"citing_paper":{"arxiv_id":"2501.10037","last_updated":"2025-01-17T08:47:29Z","snapshot_observed_at":"2026-08-10T19:21:30.702561Z","submitted_at":"2025-01-17T08:47:29Z","title":"Exploring Code Comprehension in Scientific Programming: Preliminary Insights from Research Scientists","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-10T19:26:31.516600Z"},"links":{"citing_paper":"/paper/2501.10037"},"observation_digest":"sha256:83a149fbef58b95d22db132a1d4e25894583ffc44b876d1099935e08c74183fe","observation_id":"8c571987-f8ab-4a0b-b483-0f01b30fdaa5","resolution":{"observed_at":"2026-08-10T19:26:31.976440Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T19:26:31.956146Z","title":"Better code, better shari ng: on the need of analyzing jupyter notebooks,","venue":null,"work_id":"6f21621e-cfa6-4860-890e-96f24db911b6","year":2020},"citing_paper":{"arxiv_id":"2501.10037","last_updated":"2025-01-17T08:47:29Z","snapshot_observed_at":"2026-08-10T19:21:30.702561Z","submitted_at":"2025-01-17T08:47:29Z","title":"Exploring Code Comprehension in Scientific Programming: Preliminary Insights from Research Scientists","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-10T19:26:31.521946Z"},"links":{"citing_paper":"/paper/2501.10037"},"observation_digest":"sha256:dbad45390e4888aeecf75d07317d0d7d0148dca0ea7d88350e4806422d11ee8d","observation_id":"47074499-b6b2-4554-8bea-030e090edb35","resolution":{"observed_at":"2026-08-10T19:26:31.961143Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T19:26:31.940146Z","title":"A large- scale comparison of Python code in Jupyter notebooks and scr ipts,","venue":null,"work_id":"8630bf11-acb5-4ed9-bf54-3af18805016d","year":2022},"citing_paper":{"arxiv_id":"2501.10037","last_updated":"2025-01-17T08:47:29Z","snapshot_observed_at":"2026-08-10T19:21:30.702561Z","submitted_at":"2025-01-17T08:47:29Z","title":"Exploring Code Comprehension in Scientific Programming: Preliminary Insights from Research Scientists","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-10T19:26:31.527423Z"},"links":{"citing_paper":"/paper/2501.10037"},"observation_digest":"sha256:4126744ca97d4912fc6e7133f543fdb92427627b82c6363cf91ad33a2ca0c225","observation_id":"33e7bf9e-b13f-4a94-8307-466f382b66e2","resolution":{"observed_at":"2026-08-10T19:26:31.945193Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T19:26:31.924354Z","title":"A Large-Scale Study About Quality and Reproducibility of Jupyter Noteboo ks,","venue":null,"work_id":"1352c4a9-5286-459f-afdd-6314ff9569df","year":2019},"citing_paper":{"arxiv_id":"2501.10037","last_updated":"2025-01-17T08:47:29Z","snapshot_observed_at":"2026-08-10T19:21:30.702561Z","submitted_at":"2025-01-17T08:47:29Z","title":"Exploring Code Comprehension in Scientific Programming: Preliminary Insights from Research Scientists","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-10T19:26:31.532377Z"},"links":{"citing_paper":"/paper/2501.10037"},"observation_digest":"sha256:e2c11ab688569e7a5b57979aeb91b8ce418dcf49aebb59b79b0c8d2aed94a315","observation_id":"4d20b6e7-3bab-4978-9847-5417790276f5","resolution":{"observed_at":"2026-08-10T19:26:31.930068Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T19:26:31.908333Z","title":"Qualtrics XM: The Leading Experience Management Soft ware","venue":null,"work_id":"85bbd282-d944-46d9-af8a-26e9f8b73e68","year":null},"citing_paper":{"arxiv_id":"2501.10037","last_updated":"2025-01-17T08:47:29Z","snapshot_observed_at":"2026-08-10T19:21:30.702561Z","submitted_at":"2025-01-17T08:47:29Z","title":"Exploring Code Comprehension in Scientific Programming: Preliminary Insights from Research Scientists","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-10T19:26:31.538533Z"},"links":{"citing_paper":"/paper/2501.10037"},"observation_digest":"sha256:4b3d068b142eb73c9f23f6657c84d2bed29d166485abecf2d798433760ad2e28","observation_id":"2b78cc1d-be27-4093-a53a-56884a47998e","resolution":{"observed_at":"2026-08-10T19:26:31.913784Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T19:26:31.893093Z","title":"Guidelines for conducting surveys in software engineering,","venue":null,"work_id":"7faf5bbc-20ba-418b-9ce8-430813a8b186","year":2015},"citing_paper":{"arxiv_id":"2501.10037","last_updated":"2025-01-17T08:47:29Z","snapshot_observed_at":"2026-08-10T19:21:30.702561Z","submitted_at":"2025-01-17T08:47:29Z","title":"Exploring Code Comprehension in Scientific Programming: Preliminary Insights from Research Scientists","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-10T19:26:31.544171Z"},"links":{"citing_paper":"/paper/2501.10037"},"observation_digest":"sha256:86e73b35b3eb9a07b16b04ad17a9f8942c5ce9843120db5df8814cc4a04825ec","observation_id":"73b88873-76f8-4c2d-862e-7fc2346ffeb2","resolution":{"observed_at":"2026-08-10T19:26:31.898271Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T19:26:31.549633Z","title":"Artifact Package","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2501.10037","last_updated":"2025-01-17T08:47:29Z","snapshot_observed_at":"2026-08-10T19:21:30.702561Z","submitted_at":"2025-01-17T08:47:29Z","title":"Exploring Code Comprehension in Scientific Programming: Preliminary Insights from Research Scientists","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-10T19:26:31.549633Z"},"links":{"citing_paper":"/paper/2501.10037"},"observation_digest":"sha256:9415913a052b42adf0c17bedfb82742abf9ec7c30b891d72be15f611bec3936c","observation_id":"fbe505ff-7caf-4859-9d32-5158bb51f0d8","resolution":{"observed_at":"2026-08-10T19:26:31.549633Z","resolver_source":null,"status":"malformed_identifier"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T19:26:31.877297Z","title":"Sampling in software engineeri ng research: a critical review and guidelines,","venue":null,"work_id":"622ffc89-5f47-4c52-bf01-239a35d8c464","year":2022},"citing_paper":{"arxiv_id":"2501.10037","last_updated":"2025-01-17T08:47:29Z","snapshot_observed_at":"2026-08-10T19:21:30.702561Z","submitted_at":"2025-01-17T08:47:29Z","title":"Exploring Code Comprehension in Scientific Programming: Preliminary Insights from Research Scientists","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-10T19:26:31.555072Z"},"links":{"citing_paper":"/paper/2501.10037"},"observation_digest":"sha256:83af60a4cc99a966fbb5c91f0a50dc8e00df736378f81863065b4113d0ce8260","observation_id":"20d2ed7b-6fca-46fd-bef4-9b5a68a2fae4","resolution":{"observed_at":"2026-08-10T19:26:31.882171Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T19:26:31.863782Z","title":"Wagner, D","venue":null,"work_id":"d3b5b9d5-152d-42a5-89b0-37b6c603acf9","year":2020},"citing_paper":{"arxiv_id":"2501.10037","last_updated":"2025-01-17T08:47:29Z","snapshot_observed_at":"2026-08-10T19:21:30.702561Z","submitted_at":"2025-01-17T08:47:29Z","title":"Exploring Code Comprehension in Scientific Programming: Preliminary Insights from Research Scientists","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-10T19:26:31.560378Z"},"links":{"citing_paper":"/paper/2501.10037"},"observation_digest":"sha256:f23eeb0fd20aadbd83f055d957052c76e41cfa27a9bc4c2ddc571471d6afb746","observation_id":"a0e3b741-2070-4647-bd0e-6454a55b5f18","resolution":{"observed_at":"2026-08-10T19:26:31.868171Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T19:26:31.849712Z","title":"Descriptive compound identifier names improve so urce code comprehension,","venue":null,"work_id":"ee96c31b-4d46-4618-9390-4e4502c71c59","year":2018},"citing_paper":{"arxiv_id":"2501.10037","last_updated":"2025-01-17T08:47:29Z","snapshot_observed_at":"2026-08-10T19:21:30.702561Z","submitted_at":"2025-01-17T08:47:29Z","title":"Exploring Code Comprehension in Scientific Programming: Preliminary Insights from Research Scientists","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-10T19:26:31.565678Z"},"links":{"citing_paper":"/paper/2501.10037"},"observation_digest":"sha256:04b4360c4264230d0348c7bbcb92ab67d3ce0c62f748e851d1a85de9a31ea195","observation_id":"8c884bfb-2534-4f66-bdc9-a5b9ba3bd261","resolution":{"observed_at":"2026-08-10T19:26:31.854249Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T19:26:31.833393Z","title":"On t he Role of Computer Languages in Scientific Computing,","venue":null,"work_id":"1d255c5d-c542-40d1-8d5d-6490af877626","year":2022},"citing_paper":{"arxiv_id":"2501.10037","last_updated":"2025-01-17T08:47:29Z","snapshot_observed_at":"2026-08-10T19:21:30.702561Z","submitted_at":"2025-01-17T08:47:29Z","title":"Exploring Code Comprehension in Scientific Programming: Preliminary Insights from Research Scientists","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-10T19:26:31.570822Z"},"links":{"citing_paper":"/paper/2501.10037"},"observation_digest":"sha256:1ed2664952b27359a8af2ba9f54b921ac157b141b04b61ee982117ed1d99ad27","observation_id":"3ef809fa-8a13-426a-9b87-ef309ec1ab73","resolution":{"observed_at":"2026-08-10T19:26:31.838584Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T19:26:31.817104Z","title":"Bug Analysis in Jupyter Notebook Projects: An Empirical St udy,","venue":null,"work_id":"e5d0173b-48e5-4b1c-8510-a9f09785225f","year":2024},"citing_paper":{"arxiv_id":"2501.10037","last_updated":"2025-01-17T08:47:29Z","snapshot_observed_at":"2026-08-10T19:21:30.702561Z","submitted_at":"2025-01-17T08:47:29Z","title":"Exploring Code Comprehension in Scientific Programming: Preliminary Insights from Research Scientists","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-10T19:26:31.575920Z"},"links":{"citing_paper":"/paper/2501.10037"},"observation_digest":"sha256:90e1e43aeeb79900173c6436ab9fc705366e30aeb8e4dcd17640cdb20352f586","observation_id":"edaf316f-424f-4b7f-9eac-16fe1aa05d29","resolution":{"observed_at":"2026-08-10T19:26:31.822474Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T19:26:31.799820Z","title":"Do Code Smells Impact the Effort of Different Maintenance Programm ing Ac- tivities?,","venue":null,"work_id":"a4d33f4a-af8a-49d9-947c-c291e1277ecb","year":2016},"citing_paper":{"arxiv_id":"2501.10037","last_updated":"2025-01-17T08:47:29Z","snapshot_observed_at":"2026-08-10T19:21:30.702561Z","submitted_at":"2025-01-17T08:47:29Z","title":"Exploring Code Comprehension in Scientific Programming: Preliminary Insights from Research Scientists","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-10T19:26:31.580799Z"},"links":{"citing_paper":"/paper/2501.10037"},"observation_digest":"sha256:3b85de7d9abf11824ef5f9a35a4b18cbb2a4521def0ef29fad8c09ecd9869071","observation_id":"d039cd9f-fb7b-4034-849c-3547dd6a7dd9","resolution":{"observed_at":"2026-08-10T19:26:31.805530Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T19:26:31.782877Z","title":"The e ffect of poor source code lexicon and readability on developers’ cogniti ve load,","venue":null,"work_id":"79d9d897-00b2-457b-aec6-d6421aef1495","year":2018},"citing_paper":{"arxiv_id":"2501.10037","last_updated":"2025-01-17T08:47:29Z","snapshot_observed_at":"2026-08-10T19:21:30.702561Z","submitted_at":"2025-01-17T08:47:29Z","title":"Exploring Code Comprehension in Scientific Programming: Preliminary Insights from Research Scientists","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-10T19:26:31.585752Z"},"links":{"citing_paper":"/paper/2501.10037"},"observation_digest":"sha256:b4dcbf36a354d807e4305f640a37e537f2c6a09eef05ea672859f3d63627d081","observation_id":"d8e91938-92e0-4431-8dcb-70b0941bfe60","resolution":{"observed_at":"2026-08-10T19:26:31.788445Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T19:26:31.766991Z","title":"Ten simple rules for writing and sharing computational ana lyses in Jupyter Notebooks,","venue":null,"work_id":"718b4361-c3f3-4730-b78a-b5a83a844fb5","year":2019},"citing_paper":{"arxiv_id":"2501.10037","last_updated":"2025-01-17T08:47:29Z","snapshot_observed_at":"2026-08-10T19:21:30.702561Z","submitted_at":"2025-01-17T08:47:29Z","title":"Exploring Code Comprehension in Scientific Programming: Preliminary Insights from Research Scientists","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-10T19:26:31.591095Z"},"links":{"citing_paper":"/paper/2501.10037"},"observation_digest":"sha256:f1300f5fbd1310dbf0e549ef34ebca2821febb3578112780e69651293aafe2b9","observation_id":"f74aab48-6a53-4008-af14-b7d7256f7eb9","resolution":{"observed_at":"2026-08-10T19:26:31.772245Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T19:26:31.748551Z","title":"Future of software development with generative AI,","venue":null,"work_id":"122d3486-be42-42a5-8e37-31125d10c03e","year":2024},"citing_paper":{"arxiv_id":"2501.10037","last_updated":"2025-01-17T08:47:29Z","snapshot_observed_at":"2026-08-10T19:21:30.702561Z","submitted_at":"2025-01-17T08:47:29Z","title":"Exploring Code Comprehension in Scientific Programming: Preliminary Insights from Research Scientists","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-10T19:26:31.595271Z"},"links":{"citing_paper":"/paper/2501.10037"},"observation_digest":"sha256:063dd0a611ab49c4428be34809a63d32a40b4792fad97b9f514341c07169d9b3","observation_id":"340fbe37-c932-4536-89df-e8c2561ee7eb","resolution":{"observed_at":"2026-08-10T19:26:31.754522Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T19:26:31.731483Z","title":"A Large-Scale Surv ey on the Usability of AI Programming Assistants: Successes and Chal lenges,","venue":null,"work_id":"a67a3975-1dbf-4f4c-8c37-2289efbf936b","year":2024},"citing_paper":{"arxiv_id":"2501.10037","last_updated":"2025-01-17T08:47:29Z","snapshot_observed_at":"2026-08-10T19:21:30.702561Z","submitted_at":"2025-01-17T08:47:29Z","title":"Exploring Code Comprehension in Scientific Programming: Preliminary Insights from Research Scientists","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-10T19:26:31.600241Z"},"links":{"citing_paper":"/paper/2501.10037"},"observation_digest":"sha256:cafd9f61782faf37359bd2645737028bf514aa350613bf027874ab4c6dd6c90c","observation_id":"b5399ba9-6063-41b8-8c73-936d565881c2","resolution":{"observed_at":"2026-08-10T19:26:31.737223Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T19:26:31.713875Z","title":"Assessing the Readabi lity of ChatGPT Code Snippet Recommendations: A Comparative Study ,","venue":null,"work_id":"5ffca144-c4bf-4c64-a7e7-913cd384cf2f","year":2023},"citing_paper":{"arxiv_id":"2501.10037","last_updated":"2025-01-17T08:47:29Z","snapshot_observed_at":"2026-08-10T19:21:30.702561Z","submitted_at":"2025-01-17T08:47:29Z","title":"Exploring Code Comprehension in Scientific Programming: Preliminary Insights from Research Scientists","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-10T19:26:31.604220Z"},"links":{"citing_paper":"/paper/2501.10037"},"observation_digest":"sha256:fa07a08733a744269cbcb0654dac2551ab8a5d17060c0499b5a331096d0da47a","observation_id":"6e4bd38c-e24e-4ae9-9b90-c0ae6ef2419f","resolution":{"observed_at":"2026-08-10T19:26:31.719740Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T19:26:31.696347Z","title":"Q uality Assessment of ChatGPT Generated Code and their Use by Develo pers,","venue":null,"work_id":"f6e3bd32-3464-4b17-9f59-6aa7b13eef36","year":2024},"citing_paper":{"arxiv_id":"2501.10037","last_updated":"2025-01-17T08:47:29Z","snapshot_observed_at":"2026-08-10T19:21:30.702561Z","submitted_at":"2025-01-17T08:47:29Z","title":"Exploring Code Comprehension in Scientific Programming: Preliminary Insights from Research Scientists","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-10T19:26:31.608659Z"},"links":{"citing_paper":"/paper/2501.10037"},"observation_digest":"sha256:d79f0806127f8c1e6f140b6ba2b8e137cacffdc6020b30e65b616f0820ace056","observation_id":"84452f55-f4c5-4ac6-b243-ecc0f3ccaa23","resolution":{"observed_at":"2026-08-10T19:26:31.701929Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T19:26:31.679669Z","title":"Refining ChatGPT-Generated Code: Characteri zing and Mitigating Code Quality Issues,","venue":null,"work_id":"3e96cc0f-b4a4-4dcb-bd9a-c157de867319","year":2024},"citing_paper":{"arxiv_id":"2501.10037","last_updated":"2025-01-17T08:47:29Z","snapshot_observed_at":"2026-08-10T19:21:30.702561Z","submitted_at":"2025-01-17T08:47:29Z","title":"Exploring Code Comprehension in Scientific Programming: Preliminary Insights from Research Scientists","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-10T19:26:31.612808Z"},"links":{"citing_paper":"/paper/2501.10037"},"observation_digest":"sha256:069dd54e14f857e46147a0a7b7255c4e4e16fd04bdd497b4e27cc2d5aca260de","observation_id":"45515f29-ab40-43d1-bb2a-a1391618bf4e","resolution":{"observed_at":"2026-08-10T19:26:31.685338Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2501.10037","last_updated":"2025-01-17T08:47:29Z","latest_version":1,"primary_category":"cs.SE","snapshot_observed_at":"2026-08-10T19:21:30.702561Z","submitted_at":"2025-01-17T08:47:29Z","title":"Exploring Code Comprehension in Scientific Programming: Preliminary Insights from Research Scientists"},"reference_resolution":{"displayed":39,"state_counts":{"malformed_identifier":1,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":0,"verified_exact":1,"verified_fuzzy":37},"total_outbound_references":39},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"thesis":"As of 11 August 2026, this Paper Citation Record lists 39 of 39 outbound references and 0 inbound Pith citation observations for arXiv:2501.10037."}