{"as_of":"2026-08-23T22:39:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:78b201ccd95d960a2661e733d4d8586bca2c080eaaf93d60c7a590af9fca88dd","coverage":[{"denominator":45,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":45,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-11T15:29:14.366723Z","state":"measured"},{"denominator":46,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":46,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-23T06:30:58.430688+00:00","state":"measured"},{"denominator":1,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":1,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-15T18:07:36.974476Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"pith","source_observed_at":"2026-08-15T18:07:38.432273Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2412.10950","last_updated":"2024-12-14T20:10:18Z","snapshot_observed_at":"2026-08-19T17:32:16.063981Z","submitted_at":"2024-12-14T20:10:18Z","title":"ALPACA -- Adaptive Learning Pipeline for Comprehensive AI","version":1},"cited_work":{"arxiv_id":"2412.10950","doi":null,"metadata_source":"pith","pith_arxiv_id":"2412.10950","snapshot_observed_at":"2026-08-15T18:07:38.432273Z","title":"ALPACA -- Adaptive Learning Pipeline for Comprehensive AI","venue":"cs.DC","work_id":"ac5ba463-88b6-4c02-9027-ebcf61081fb4","year":2024},"citing_paper":{"arxiv_id":"2507.18949","last_updated":"2025-07-25T04:36:17Z","snapshot_observed_at":"2026-08-19T17:31:46.636856Z","submitted_at":"2025-07-25T04:36:17Z","title":"Adaptive Learning Systems: Personalized Curriculum Design Using LLM-Powered Analytics","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-15T18:07:36.974476Z"},"links":{"cited_paper":"/paper/2412.10950","citing_paper":"/paper/2507.18949"},"observation_digest":"sha256:a8d530645a127abc9f2097368dd9b1f36f7d992cbf9f69cb101cbe3da4511c5a","observation_id":"65005d5c-c672-4d9b-b733-32d70c5a43cc","resolution":{"observed_at":"2026-08-15T18:07:38.442382Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2412.10950/citation-record","integrity":"/paper/2412.10950/integrity","json":"/paper/2412.10950/citation-record.json","paper":"/paper/2412.10950"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T15:29:15.066414Z","title":"Tensorflow: Large-scale machine learning on heterogeneous systems","venue":null,"work_id":"95c4c67a-7340-4685-88f7-0b854983a8e2","year":2015},"citing_paper":{"arxiv_id":"2412.10950","last_updated":"2024-12-14T20:10:18Z","snapshot_observed_at":"2026-08-19T17:32:16.063981Z","submitted_at":"2024-12-14T20:10:18Z","title":"ALPACA -- Adaptive Learning Pipeline for Comprehensive AI","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-11T15:29:14.228328Z"},"links":{"citing_paper":"/paper/2412.10950"},"observation_digest":"sha256:199b0c99a9240653bf24478a93360eef076086356c49f5c5206222cac1a93bff","observation_id":"9fff56a1-9b53-42f1-a346-ab4444e6bbb0","resolution":{"observed_at":"2026-08-11T15:29:15.069403Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+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":"2026-08-11T15:29:15.057596Z","title":"Ai-builder","venue":null,"work_id":"38ed51e4-fe5d-45c4-ace5-b78079985053","year":null},"citing_paper":{"arxiv_id":"2412.10950","last_updated":"2024-12-14T20:10:18Z","snapshot_observed_at":"2026-08-19T17:32:16.063981Z","submitted_at":"2024-12-14T20:10:18Z","title":"ALPACA -- Adaptive Learning Pipeline for Comprehensive AI","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-11T15:29:14.232068Z"},"links":{"citing_paper":"/paper/2412.10950"},"observation_digest":"sha256:bac6dc490bb9ab973823a4ad6506242fa251c63ddc9f018fd8fa5cb3e16e771a","observation_id":"24c867b6-bd4c-454a-b270-0a01fac26a61","resolution":{"observed_at":"2026-08-11T15:29:15.060560Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+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":"2026-08-11T15:29:15.047747Z","title":"Ai-builder documentation","venue":null,"work_id":"e21679e6-7b74-411a-ae4f-b148ffddfcf0","year":null},"citing_paper":{"arxiv_id":"2412.10950","last_updated":"2024-12-14T20:10:18Z","snapshot_observed_at":"2026-08-19T17:32:16.063981Z","submitted_at":"2024-12-14T20:10:18Z","title":"ALPACA -- Adaptive Learning Pipeline for Comprehensive AI","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-11T15:29:14.235232Z"},"links":{"citing_paper":"/paper/2412.10950"},"observation_digest":"sha256:fa5cef4be282b01922d1fe3947883cce183b6a8585e084b393f64b99c5719eb0","observation_id":"0d26c367-5dff-4c1f-97cd-bcaaac3d2e58","resolution":{"observed_at":"2026-08-11T15:29:15.051325Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+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":"2026-08-11T15:29:15.038023Z","title":"Amazon sagemaker","venue":null,"work_id":"be486d06-649d-4772-8301-6f114050de5d","year":2023},"citing_paper":{"arxiv_id":"2412.10950","last_updated":"2024-12-14T20:10:18Z","snapshot_observed_at":"2026-08-19T17:32:16.063981Z","submitted_at":"2024-12-14T20:10:18Z","title":"ALPACA -- Adaptive Learning Pipeline for Comprehensive AI","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-11T15:29:14.238206Z"},"links":{"citing_paper":"/paper/2412.10950"},"observation_digest":"sha256:9637919066209b888a77753942da9ae66550a43f08005d916c364a9ca1847346","observation_id":"c6f7e390-e715-4b70-afce-7b924da0041e","resolution":{"observed_at":"2026-08-11T15:29:15.041528Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+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":"2026-08-11T15:29:15.028513Z","title":"Introduction to celery","venue":null,"work_id":"d92bdbac-3f99-4a85-9301-7b0dc37b2fd0","year":2023},"citing_paper":{"arxiv_id":"2412.10950","last_updated":"2024-12-14T20:10:18Z","snapshot_observed_at":"2026-08-19T17:32:16.063981Z","submitted_at":"2024-12-14T20:10:18Z","title":"ALPACA -- Adaptive Learning Pipeline for Comprehensive AI","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-11T15:29:14.242002Z"},"links":{"citing_paper":"/paper/2412.10950"},"observation_digest":"sha256:59991b401e711881a34af067d77162507e29786e1f7e4c40b6aca1e58951e912","observation_id":"44887ed9-3c1f-4fb0-9409-6c00120fca41","resolution":{"observed_at":"2026-08-11T15:29:15.031910Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+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":"2026-08-11T15:29:14.245491Z","title":"Tfx: A tensorflow-based production-scale machine learning platform, in: Matwin, S","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2412.10950","last_updated":"2024-12-14T20:10:18Z","snapshot_observed_at":"2026-08-19T17:32:16.063981Z","submitted_at":"2024-12-14T20:10:18Z","title":"ALPACA -- Adaptive Learning Pipeline for Comprehensive AI","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-11T15:29:14.245491Z"},"links":{"citing_paper":"/paper/2412.10950"},"observation_digest":"sha256:1bef651716b186af16fab16f4e6965c3deec801fd2998538cbd4b1b00d941bc7","observation_id":"b2e29d1c-33f0-43ff-8b90-1be214d6850e","resolution":{"observed_at":"2026-08-11T15:29:14.245491Z","resolver_source":null,"status":"unresolved"},"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":"2026-08-11T15:29:15.018360Z","title":"Dataversioncontrol(dvc):Open-sourceversioncontrolsystemformachinelearningprojects","venue":null,"work_id":"059d6758-a552-4b46-a35f-44bd22860f92","year":2023},"citing_paper":{"arxiv_id":"2412.10950","last_updated":"2024-12-14T20:10:18Z","snapshot_observed_at":"2026-08-19T17:32:16.063981Z","submitted_at":"2024-12-14T20:10:18Z","title":"ALPACA -- Adaptive Learning Pipeline for Comprehensive AI","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-11T15:29:14.249071Z"},"links":{"citing_paper":"/paper/2412.10950"},"observation_digest":"sha256:073176039d558812c512f30ca403665469676252846f54672315563d6376e070","observation_id":"0b84f256-ed94-4aeb-bda6-22960d78c718","resolution":{"observed_at":"2026-08-11T15:29:15.021907Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+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":"2026-08-11T15:29:15.008424Z","title":"The databricks data intelligence platform","venue":null,"work_id":"c368a002-1800-474b-8063-12487b45fc50","year":2023},"citing_paper":{"arxiv_id":"2412.10950","last_updated":"2024-12-14T20:10:18Z","snapshot_observed_at":"2026-08-19T17:32:16.063981Z","submitted_at":"2024-12-14T20:10:18Z","title":"ALPACA -- Adaptive Learning Pipeline for Comprehensive AI","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-11T15:29:14.252316Z"},"links":{"citing_paper":"/paper/2412.10950"},"observation_digest":"sha256:f757c504705bba1b5a7767bbc737db869fd6d522c1dc4c45762fad9a47dda2e5","observation_id":"38598dd1-206f-4250-adc9-018d44ad60a0","resolution":{"observed_at":"2026-08-11T15:29:15.011806Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+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":"2026-08-11T15:29:14.998209Z","title":"Datarobot ai platform: One unified platform for generative and predictive ai","venue":null,"work_id":"726c9fd4-f358-4948-bc19-39eed9197a9c","year":2023},"citing_paper":{"arxiv_id":"2412.10950","last_updated":"2024-12-14T20:10:18Z","snapshot_observed_at":"2026-08-19T17:32:16.063981Z","submitted_at":"2024-12-14T20:10:18Z","title":"ALPACA -- Adaptive Learning Pipeline for Comprehensive AI","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-11T15:29:14.255862Z"},"links":{"citing_paper":"/paper/2412.10950"},"observation_digest":"sha256:a5c24e1a94bc0926d58965a28e1de67abf8e62f893408d088599ac344adf128b","observation_id":"9079b216-52e6-44ab-9837-9bce8db92f4f","resolution":{"observed_at":"2026-08-11T15:29:15.001941Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+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":"2026-08-11T15:29:14.988499Z","title":"Androguard github page","venue":null,"work_id":"26ab36f1-281e-4d0b-b311-820b1db96367","year":2023},"citing_paper":{"arxiv_id":"2412.10950","last_updated":"2024-12-14T20:10:18Z","snapshot_observed_at":"2026-08-19T17:32:16.063981Z","submitted_at":"2024-12-14T20:10:18Z","title":"ALPACA -- Adaptive Learning Pipeline for Comprehensive AI","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-11T15:29:14.259200Z"},"links":{"citing_paper":"/paper/2412.10950"},"observation_digest":"sha256:188fa6c13590aac038c5309a944781c4f3c388bb4f01f7325ea645e548a37891","observation_id":"119e042c-dd08-4895-9528-7ce042c648b5","resolution":{"observed_at":"2026-08-11T15:29:14.991945Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+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":"2026-08-11T15:29:14.977859Z","title":"Androguard documentation","venue":null,"work_id":"43d970cf-65ce-42d5-b00f-b224df97b30f","year":2018},"citing_paper":{"arxiv_id":"2412.10950","last_updated":"2024-12-14T20:10:18Z","snapshot_observed_at":"2026-08-19T17:32:16.063981Z","submitted_at":"2024-12-14T20:10:18Z","title":"ALPACA -- Adaptive Learning Pipeline for Comprehensive AI","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-11T15:29:14.262593Z"},"links":{"citing_paper":"/paper/2412.10950"},"observation_digest":"sha256:08919a79bf2ed6fee5653e3afcd5b6a13424d3a93aefe4629aef6d1cb8e0ef64","observation_id":"95b370fd-d170-4f5c-bd92-498c00984f83","resolution":{"observed_at":"2026-08-11T15:29:14.982125Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+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":"2026-08-11T15:29:14.969063Z","title":"Django: The web framework for perfectionists with deadlines","venue":null,"work_id":"e2bbd56a-580a-4566-a42c-5e25a33af024","year":2023},"citing_paper":{"arxiv_id":"2412.10950","last_updated":"2024-12-14T20:10:18Z","snapshot_observed_at":"2026-08-19T17:32:16.063981Z","submitted_at":"2024-12-14T20:10:18Z","title":"ALPACA -- Adaptive Learning Pipeline for Comprehensive AI","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-11T15:29:14.265870Z"},"links":{"citing_paper":"/paper/2412.10950"},"observation_digest":"sha256:5c0d7b4c7e9875d0e9f67701475642e128b06352c6fda4ceee578a73fa2de585","observation_id":"e0720325-33da-46dc-bf70-9741d37c7874","resolution":{"observed_at":"2026-08-11T15:29:14.971945Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+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":"2026-08-11T15:29:14.959774Z","title":null,"venue":null,"work_id":"0a48d817-8c59-45b2-9176-373ba7afb2c0","year":null},"citing_paper":{"arxiv_id":"2412.10950","last_updated":"2024-12-14T20:10:18Z","snapshot_observed_at":"2026-08-19T17:32:16.063981Z","submitted_at":"2024-12-14T20:10:18Z","title":"ALPACA -- Adaptive Learning Pipeline for Comprehensive AI","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-11T15:29:14.269569Z"},"links":{"citing_paper":"/paper/2412.10950"},"observation_digest":"sha256:2b5c4ca4db16f78f65bab9a61042bca48c3f3d74c12fe647c33a0224f410d48e","observation_id":"0b99b7dd-072b-48d6-9e79-23457eb3f1a6","resolution":{"observed_at":"2026-08-11T15:29:14.963205Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+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":"2026-08-11T15:29:14.950743Z","title":"Ai4eu: A european ai on demand platform and ecosystem","venue":null,"work_id":"489338be-12a9-4491-9302-ed9372b1ad22","year":null},"citing_paper":{"arxiv_id":"2412.10950","last_updated":"2024-12-14T20:10:18Z","snapshot_observed_at":"2026-08-19T17:32:16.063981Z","submitted_at":"2024-12-14T20:10:18Z","title":"ALPACA -- Adaptive Learning Pipeline for Comprehensive AI","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-11T15:29:14.272834Z"},"links":{"citing_paper":"/paper/2412.10950"},"observation_digest":"sha256:c2c7747cdc7c9199ca42ccd4ea0ee65b43ebe43731c0bf1a8938ad33d71bbc7a","observation_id":"0e833548-e227-43e9-92b3-e829eafdef43","resolution":{"observed_at":"2026-08-11T15:29:14.954087Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.20900/mo20200001","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T15:29:14.404804Z","title":"Artificial intelligence pipeline to bridge the gap between bench researchers and clinical researchers in precision medicine","venue":null,"work_id":"578d8921-52bc-4b64-835f-9bea74ff7f0f","year":2020},"citing_paper":{"arxiv_id":"2412.10950","last_updated":"2024-12-14T20:10:18Z","snapshot_observed_at":"2026-08-19T17:32:16.063981Z","submitted_at":"2024-12-14T20:10:18Z","title":"ALPACA -- Adaptive Learning Pipeline for Comprehensive AI","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-11T15:29:14.276274Z"},"links":{"citing_paper":"/paper/2412.10950"},"observation_digest":"sha256:d9828df5530976b966fa0e7a438f88f3e3b2200931aac3f1e91d6e04ce8df1d2","observation_id":"149841f4-fd79-43c0-8e06-23b08854a65e","resolution":{"observed_at":"2026-08-11T15:29:14.408435Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"2022.2574","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T15:29:14.624885Z","title":"Koopaml,amachinelearningplatform for medical data analysis","venue":null,"work_id":"64e04615-4890-46b7-ac2e-96b945ac1c7d","year":2022},"citing_paper":{"arxiv_id":"2412.10950","last_updated":"2024-12-14T20:10:18Z","snapshot_observed_at":"2026-08-19T17:32:16.063981Z","submitted_at":"2024-12-14T20:10:18Z","title":"ALPACA -- Adaptive Learning Pipeline for Comprehensive AI","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-11T15:29:14.279674Z"},"links":{"citing_paper":"/paper/2412.10950"},"observation_digest":"sha256:655c040747177d02ffbf30beef1def536df0eda367e5d958c17a8368459578de","observation_id":"16cdee6f-4283-4b6b-b082-f0624268437b","resolution":{"observed_at":"2026-08-11T15:29:14.631833Z","resolver_source":"raw_fallback","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+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":"2026-08-11T15:29:14.941855Z","title":"Einführung in vertex ai","venue":null,"work_id":"81af3bcc-87f6-4d15-8569-8a3e7c00952b","year":2023},"citing_paper":{"arxiv_id":"2412.10950","last_updated":"2024-12-14T20:10:18Z","snapshot_observed_at":"2026-08-19T17:32:16.063981Z","submitted_at":"2024-12-14T20:10:18Z","title":"ALPACA -- Adaptive Learning Pipeline for Comprehensive AI","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-11T15:29:14.282790Z"},"links":{"citing_paper":"/paper/2412.10950"},"observation_digest":"sha256:ba91de5c169b99fd26557e3e88e97e290ed8e924974c6f4eb5615f40d393e5fc","observation_id":"899e0d94-4116-4ce5-8371-a8a4a65dc48c","resolution":{"observed_at":"2026-08-11T15:29:14.944834Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+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":"2026-08-11T15:29:14.932837Z","title":"H2o.ai | the fastest, most accurate ai cloud platform: Open source software for data science and machine learning","venue":null,"work_id":"434e33a5-d35c-443f-a2a9-416a43a56970","year":2023},"citing_paper":{"arxiv_id":"2412.10950","last_updated":"2024-12-14T20:10:18Z","snapshot_observed_at":"2026-08-19T17:32:16.063981Z","submitted_at":"2024-12-14T20:10:18Z","title":"ALPACA -- Adaptive Learning Pipeline for Comprehensive AI","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-11T15:29:14.285954Z"},"links":{"citing_paper":"/paper/2412.10950"},"observation_digest":"sha256:ffc20daccc8e11253b3c471bb0d8f370225149307cdd6db1a8dbf25eff3baf99","observation_id":"8acc4973-89ce-47cc-a46f-bf830c867fc7","resolution":{"observed_at":"2026-08-11T15:29:14.935900Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+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":"2026-08-11T15:29:14.289130Z","title":"Modelops:Cloud-based lifecycle management for reliable and trusted ai, in: 2019 IEEE International Conference on Cloud Engineering, IEEE, Piscataway, NJ","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2412.10950","last_updated":"2024-12-14T20:10:18Z","snapshot_observed_at":"2026-08-19T17:32:16.063981Z","submitted_at":"2024-12-14T20:10:18Z","title":"ALPACA -- Adaptive Learning Pipeline for Comprehensive AI","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-11T15:29:14.289130Z"},"links":{"citing_paper":"/paper/2412.10950"},"observation_digest":"sha256:f11d49e68d460c263842cdc48ae3c6b1d4c9d17e05c8c1a23b270f22b7891439","observation_id":"06dc17b1-d79b-42ed-87c1-c93262d68138","resolution":{"observed_at":"2026-08-11T15:29:14.289130Z","resolver_source":null,"status":"unresolved"},"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":"2026-08-11T15:29:14.924371Z","title":"Ibm watson studio - übersicht","venue":null,"work_id":"f1f08739-6060-45c8-b476-413c450accce","year":2022},"citing_paper":{"arxiv_id":"2412.10950","last_updated":"2024-12-14T20:10:18Z","snapshot_observed_at":"2026-08-19T17:32:16.063981Z","submitted_at":"2024-12-14T20:10:18Z","title":"ALPACA -- Adaptive Learning Pipeline for Comprehensive AI","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-11T15:29:14.292233Z"},"links":{"citing_paper":"/paper/2412.10950"},"observation_digest":"sha256:602c31280028807b7d6129590073591483f09a1a34494be1c9a7c53bc81143a9","observation_id":"ac93bd07-61ee-428d-81c9-bd66b67f5170","resolution":{"observed_at":"2026-08-11T15:29:14.927310Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+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":"2026-08-11T15:29:14.913887Z","title":"Datastructures for statistical computing inpython: Pandas","venue":null,"work_id":"2b2cd663-3f47-4e9d-aab8-b3cb94c4b305","year":2010},"citing_paper":{"arxiv_id":"2412.10950","last_updated":"2024-12-14T20:10:18Z","snapshot_observed_at":"2026-08-19T17:32:16.063981Z","submitted_at":"2024-12-14T20:10:18Z","title":"ALPACA -- Adaptive Learning Pipeline for Comprehensive AI","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-11T15:29:14.295669Z"},"links":{"citing_paper":"/paper/2412.10950"},"observation_digest":"sha256:cdfb698313967602b94c472311a18d3b68a00b79fb30dc00e77c4b8b20e6c932","observation_id":"81c1ab03-4d85-494b-9b61-f836b5e6be28","resolution":{"observed_at":"2026-08-11T15:29:14.917388Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+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":"2026-08-11T15:29:14.904023Z","title":"Azure machine learning: Machine-learning-as-a-service | microsoft azure","venue":null,"work_id":"fece58b3-23cf-4011-8864-a701d27f7aab","year":2023},"citing_paper":{"arxiv_id":"2412.10950","last_updated":"2024-12-14T20:10:18Z","snapshot_observed_at":"2026-08-19T17:32:16.063981Z","submitted_at":"2024-12-14T20:10:18Z","title":"ALPACA -- Adaptive Learning Pipeline for Comprehensive AI","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-11T15:29:14.298793Z"},"links":{"citing_paper":"/paper/2412.10950"},"observation_digest":"sha256:859a2c3bac3c4b042165510b7e6f98ef7a901e027db56e4e5832e474d253854f","observation_id":"c70ee27d-c3f2-4b3b-b9e5-f063993094dd","resolution":{"observed_at":"2026-08-11T15:29:14.907677Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+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":"2026-08-11T15:29:14.894100Z","title":"Mlflow: An open-source platform for managing the end-to-end machine learning lifecycle","venue":null,"work_id":"1daf0d8c-1b97-4427-ad6a-b46dd30548b2","year":2023},"citing_paper":{"arxiv_id":"2412.10950","last_updated":"2024-12-14T20:10:18Z","snapshot_observed_at":"2026-08-19T17:32:16.063981Z","submitted_at":"2024-12-14T20:10:18Z","title":"ALPACA -- Adaptive Learning Pipeline for Comprehensive AI","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-11T15:29:14.301965Z"},"links":{"citing_paper":"/paper/2412.10950"},"observation_digest":"sha256:912ef8eabd8965a82b4503c6ef97f7b8963dcc5371c1850a1dc2a8466e4a3c59","observation_id":"8f8149dd-46f8-4621-85bc-adb875fcb4df","resolution":{"observed_at":"2026-08-11T15:29:14.897713Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+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":"2026-08-11T15:29:14.884111Z","title":null,"venue":null,"work_id":"e5b863ae-7e58-42cd-8b83-2b8d0a163c8f","year":2023},"citing_paper":{"arxiv_id":"2412.10950","last_updated":"2024-12-14T20:10:18Z","snapshot_observed_at":"2026-08-19T17:32:16.063981Z","submitted_at":"2024-12-14T20:10:18Z","title":"ALPACA -- Adaptive Learning Pipeline for Comprehensive AI","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-11T15:29:14.305015Z"},"links":{"citing_paper":"/paper/2412.10950"},"observation_digest":"sha256:70551a7af2fea156b0a03a71da1e2fa69e89a2472fb4b73780bd25f8bab5cc80","observation_id":"e8c64cb2-4177-457c-a42b-b939a51e41ff","resolution":{"observed_at":"2026-08-11T15:29:14.887697Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+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":"2026-08-11T15:29:14.874784Z","title":null,"venue":null,"work_id":"a78639dc-24bc-4361-a4e9-d3498c81d46e","year":2023},"citing_paper":{"arxiv_id":"2412.10950","last_updated":"2024-12-14T20:10:18Z","snapshot_observed_at":"2026-08-19T17:32:16.063981Z","submitted_at":"2024-12-14T20:10:18Z","title":"ALPACA -- Adaptive Learning Pipeline for Comprehensive AI","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-11T15:29:14.307690Z"},"links":{"citing_paper":"/paper/2412.10950"},"observation_digest":"sha256:69578e0fad53db7ba063842cee893cbf59bcd45fc38f302ea2802889fe76b802","observation_id":"fc9afff3-3ee1-4665-9884-6f69430ebcd7","resolution":{"observed_at":"2026-08-11T15:29:14.878077Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+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":"2026-08-11T15:29:14.865180Z","title":"Mozilla geckodriver github page","venue":null,"work_id":"d2fb6435-2167-4959-b7c5-6a96d974a2ff","year":2023},"citing_paper":{"arxiv_id":"2412.10950","last_updated":"2024-12-14T20:10:18Z","snapshot_observed_at":"2026-08-19T17:32:16.063981Z","submitted_at":"2024-12-14T20:10:18Z","title":"ALPACA -- Adaptive Learning Pipeline for Comprehensive AI","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-11T15:29:14.310362Z"},"links":{"citing_paper":"/paper/2412.10950"},"observation_digest":"sha256:e9f5042eda9595d27325ee496bc46a23cad15079aba67faf71c628bb363209c6","observation_id":"51f85d38-156d-4f03-ae22-fba6134c303f","resolution":{"observed_at":"2026-08-11T15:29:14.868540Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+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":"2026-08-11T15:29:14.855961Z","title":"Scikit-learn:Machinelearninginpython","venue":null,"work_id":"b4a3d1ad-f0da-47b1-a5ca-8a51834400c5","year":2023},"citing_paper":{"arxiv_id":"2412.10950","last_updated":"2024-12-14T20:10:18Z","snapshot_observed_at":"2026-08-19T17:32:16.063981Z","submitted_at":"2024-12-14T20:10:18Z","title":"ALPACA -- Adaptive Learning Pipeline for Comprehensive AI","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-11T15:29:14.313255Z"},"links":{"citing_paper":"/paper/2412.10950"},"observation_digest":"sha256:ba300e408b3da474d61c1ebf19cd1b990e42d64a3b53b3bc4c6745e0ae74e64a","observation_id":"b687f511-60b3-403f-bbc4-f53214847ec2","resolution":{"observed_at":"2026-08-11T15:29:14.859008Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+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":"2026-08-11T15:29:14.847561Z","title":"Dash documentation & user guide | plotly","venue":null,"work_id":"7cc370d9-0fa8-4abb-bae6-880db81500ee","year":2023},"citing_paper":{"arxiv_id":"2412.10950","last_updated":"2024-12-14T20:10:18Z","snapshot_observed_at":"2026-08-19T17:32:16.063981Z","submitted_at":"2024-12-14T20:10:18Z","title":"ALPACA -- Adaptive Learning Pipeline for Comprehensive AI","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-11T15:29:14.316049Z"},"links":{"citing_paper":"/paper/2412.10950"},"observation_digest":"sha256:59b85ce04dd0cc6e61c8cbf7278e0a4d3447a060174d17cfd1a13c99d1a11f2e","observation_id":"f2c65ace-f356-468b-9b95-5ddf42ab190d","resolution":{"observed_at":"2026-08-11T15:29:14.850393Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+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":"2026-08-11T15:29:14.838747Z","title":"Prefect: Modern workflow orchestration for data and ml engineers","venue":null,"work_id":"0d49cfb1-823a-422a-9cc3-5b1ebedfc4f1","year":2023},"citing_paper":{"arxiv_id":"2412.10950","last_updated":"2024-12-14T20:10:18Z","snapshot_observed_at":"2026-08-19T17:32:16.063981Z","submitted_at":"2024-12-14T20:10:18Z","title":"ALPACA -- Adaptive Learning Pipeline for Comprehensive AI","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-11T15:29:14.319457Z"},"links":{"citing_paper":"/paper/2412.10950"},"observation_digest":"sha256:dd43c99c26cfe3143383d0fee2d07c89603654b8cfcf3610c1cc5df282516f0c","observation_id":"c316b650-27e9-47ee-9c26-6b07704c0627","resolution":{"observed_at":"2026-08-11T15:29:14.842044Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+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":"2026-08-11T15:29:14.829711Z","title":"Python language reference","venue":null,"work_id":"6186ec10-bcf5-42be-93b4-aaaf7d0701db","year":2023},"citing_paper":{"arxiv_id":"2412.10950","last_updated":"2024-12-14T20:10:18Z","snapshot_observed_at":"2026-08-19T17:32:16.063981Z","submitted_at":"2024-12-14T20:10:18Z","title":"ALPACA -- Adaptive Learning Pipeline for Comprehensive AI","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-11T15:29:14.322196Z"},"links":{"citing_paper":"/paper/2412.10950"},"observation_digest":"sha256:6cddf7bb444ca168f83dad247424e3321acb6f1efdb46b3c87d6fed26c9d76e0","observation_id":"8a5c419e-c254-4347-8bb9-a0bb009821f3","resolution":{"observed_at":"2026-08-11T15:29:14.832678Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1007/s43681-022-00176-2","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-20T11:03:42.707129Z","title":"Review of the state of the art in autonomous artificial intelligence","venue":"AI and Ethics","work_id":"2b961dbe-80da-4e50-a6e5-267769ec814e","year":2023},"citing_paper":{"arxiv_id":"2412.10950","last_updated":"2024-12-14T20:10:18Z","snapshot_observed_at":"2026-08-19T17:32:16.063981Z","submitted_at":"2024-12-14T20:10:18Z","title":"ALPACA -- Adaptive Learning Pipeline for Comprehensive AI","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-11T15:29:14.325041Z"},"links":{"citing_paper":"/paper/2412.10950"},"observation_digest":"sha256:c6488f52b8a6f88658e7a9051863baa14296764824fe5722cb89c6eb92397c2d","observation_id":"2b22b852-ddb0-4b3e-a925-825a49e848ed","resolution":{"observed_at":"2026-08-11T15:29:14.397764Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+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":"2026-08-11T15:29:14.820680Z","title":"Redis documentation","venue":null,"work_id":"54702663-ee07-4885-bb2a-66d3f228d950","year":2023},"citing_paper":{"arxiv_id":"2412.10950","last_updated":"2024-12-14T20:10:18Z","snapshot_observed_at":"2026-08-19T17:32:16.063981Z","submitted_at":"2024-12-14T20:10:18Z","title":"ALPACA -- Adaptive Learning Pipeline for Comprehensive AI","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-11T15:29:14.327827Z"},"links":{"citing_paper":"/paper/2412.10950"},"observation_digest":"sha256:fd3d2fc5cc77effc9802c0a1b1316936d1415ad022bd10d8cfecac6d8e4a254b","observation_id":"0fe3f91b-0dfa-48f2-9682-f39cd1749a0b","resolution":{"observed_at":"2026-08-11T15:29:14.823737Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+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":"2026-08-11T15:29:14.810673Z","title":"Gitlargefilestorage:Anopensourcegitextensionforversioninglargefiles","venue":null,"work_id":"17f5c37f-092c-4fe7-a1ed-91c8111075a6","year":2023},"citing_paper":{"arxiv_id":"2412.10950","last_updated":"2024-12-14T20:10:18Z","snapshot_observed_at":"2026-08-19T17:32:16.063981Z","submitted_at":"2024-12-14T20:10:18Z","title":"ALPACA -- Adaptive Learning Pipeline for Comprehensive AI","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-11T15:29:14.330589Z"},"links":{"citing_paper":"/paper/2412.10950"},"observation_digest":"sha256:60e7e451d3ef328983fd1abe79b0688a0b8852002b99587a30467ae554410441","observation_id":"4ae8eae7-9dc6-431d-a6c6-e645c9fbe8c7","resolution":{"observed_at":"2026-08-11T15:29:14.814362Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+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":"2026-08-11T15:29:14.333371Z","title":"The pipeline for the continuous development of artificial intelligence models—current state of research and practice","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2412.10950","last_updated":"2024-12-14T20:10:18Z","snapshot_observed_at":"2026-08-19T17:32:16.063981Z","submitted_at":"2024-12-14T20:10:18Z","title":"ALPACA -- Adaptive Learning Pipeline for Comprehensive AI","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-11T15:29:14.333371Z"},"links":{"citing_paper":"/paper/2412.10950"},"observation_digest":"sha256:f13eca772e12b5980e6ca4bb4faa767ba1a322c74cdb09f99f425a1c651ee656","observation_id":"04c5fa36-59ab-4b35-9196-2b59941fc6f9","resolution":{"observed_at":"2026-08-11T15:29:14.333371Z","resolver_source":null,"status":"unresolved"},"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":"2026-08-11T15:29:14.800521Z","title":"Apache hadoop: A framework for distributed storage and processing of large data sets","venue":null,"work_id":"bc80314b-7b63-4bba-9d2f-7a0b13e2339e","year":2022},"citing_paper":{"arxiv_id":"2412.10950","last_updated":"2024-12-14T20:10:18Z","snapshot_observed_at":"2026-08-19T17:32:16.063981Z","submitted_at":"2024-12-14T20:10:18Z","title":"ALPACA -- Adaptive Learning Pipeline for Comprehensive AI","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-11T15:29:14.336009Z"},"links":{"citing_paper":"/paper/2412.10950"},"observation_digest":"sha256:0e5c66e310af2b1d6c672d8a999ece5d35bab5fb97313ac39acdd361872430c6","observation_id":"7c278249-d517-45a8-b9ff-1a4ef24b5704","resolution":{"observed_at":"2026-08-11T15:29:14.804090Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+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":"2026-08-11T15:29:14.790310Z","title":"Apacheairflow:Anopen-sourceplatformtoprogrammaticallyauthor,schedule, and monitor workflows","venue":null,"work_id":"dc97859e-7974-4a0d-b3a2-46391034a5a0","year":null},"citing_paper":{"arxiv_id":"2412.10950","last_updated":"2024-12-14T20:10:18Z","snapshot_observed_at":"2026-08-19T17:32:16.063981Z","submitted_at":"2024-12-14T20:10:18Z","title":"ALPACA -- Adaptive Learning Pipeline for Comprehensive AI","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-11T15:29:14.338878Z"},"links":{"citing_paper":"/paper/2412.10950"},"observation_digest":"sha256:8254f110151d3c02fbe510bb0cdff88f98a7d93e77bcea18b71dd9b289bcb99f","observation_id":"1f078771-4712-4944-8c6e-6891689926b0","resolution":{"observed_at":"2026-08-11T15:29:14.794042Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+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":"2026-08-11T15:29:14.778858Z","title":"Apache flink: Stateful computations over data streams","venue":null,"work_id":"61c7e87b-d2f4-45f6-b113-88e0c6d8114f","year":null},"citing_paper":{"arxiv_id":"2412.10950","last_updated":"2024-12-14T20:10:18Z","snapshot_observed_at":"2026-08-19T17:32:16.063981Z","submitted_at":"2024-12-14T20:10:18Z","title":"ALPACA -- Adaptive Learning Pipeline for Comprehensive AI","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-11T15:29:14.342168Z"},"links":{"citing_paper":"/paper/2412.10950"},"observation_digest":"sha256:2dc1d3b6536f052ea92bd701087cb547139eb2aa3b7f12e53d9bede0bd3b36e7","observation_id":"d63ec25c-357e-42cd-8ead-4c93b8665f20","resolution":{"observed_at":"2026-08-11T15:29:14.782984Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+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":"2026-08-11T15:29:14.768674Z","title":"Apachenifi:Anintegrateddatalogisticsplatformforautomatingthemovement of data between disparate systems","venue":null,"work_id":"f472f97d-f44f-47a4-a415-c3bf79179e37","year":null},"citing_paper":{"arxiv_id":"2412.10950","last_updated":"2024-12-14T20:10:18Z","snapshot_observed_at":"2026-08-19T17:32:16.063981Z","submitted_at":"2024-12-14T20:10:18Z","title":"ALPACA -- Adaptive Learning Pipeline for Comprehensive AI","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-11T15:29:14.345108Z"},"links":{"citing_paper":"/paper/2412.10950"},"observation_digest":"sha256:efd7414840716af3f5991377434fed5ee258d4d9ec02d9a439c1cc9d57fe859a","observation_id":"9a673044-7835-4d41-bacc-d2f80e253350","resolution":{"observed_at":"2026-08-11T15:29:14.772333Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+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":"2026-08-11T15:29:14.758834Z","title":"Apache spark: Unified engine for large-scale data analytics","venue":null,"work_id":"1082ef9d-4467-42f7-b802-0793e44a3b5b","year":null},"citing_paper":{"arxiv_id":"2412.10950","last_updated":"2024-12-14T20:10:18Z","snapshot_observed_at":"2026-08-19T17:32:16.063981Z","submitted_at":"2024-12-14T20:10:18Z","title":"ALPACA -- Adaptive Learning Pipeline for Comprehensive AI","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-11T15:29:14.347783Z"},"links":{"citing_paper":"/paper/2412.10950"},"observation_digest":"sha256:93ceb94453f43f18350fe398a565f3c861bda5c707e2d6bf78a98c55557b1765","observation_id":"291b1bdd-270b-4dff-b9b0-ddedf547db28","resolution":{"observed_at":"2026-08-11T15:29:14.762319Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+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":"2026-08-11T15:29:14.748662Z","title":"Flux cd: Continuous delivery for kubernetes","venue":null,"work_id":"2955dd1a-443f-4d24-8894-8591e8a9bc55","year":2023},"citing_paper":{"arxiv_id":"2412.10950","last_updated":"2024-12-14T20:10:18Z","snapshot_observed_at":"2026-08-19T17:32:16.063981Z","submitted_at":"2024-12-14T20:10:18Z","title":"ALPACA -- Adaptive Learning Pipeline for Comprehensive AI","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-11T15:29:14.350493Z"},"links":{"citing_paper":"/paper/2412.10950"},"observation_digest":"sha256:e0712559ef98805f68f1f5aa0b3a52f6f7daf7beb7a0f7513df93cb1916c1da7","observation_id":"1ef06765-7465-4c7f-bbfd-87149c6ae36d","resolution":{"observed_at":"2026-08-11T15:29:14.752130Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+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":"2026-08-11T15:29:14.739597Z","title":"Kubeflow:Themachinelearningtoolkitforkubernetes","venue":null,"work_id":"7be07f87-4af2-4ad6-8070-4427379e602f","year":2023},"citing_paper":{"arxiv_id":"2412.10950","last_updated":"2024-12-14T20:10:18Z","snapshot_observed_at":"2026-08-19T17:32:16.063981Z","submitted_at":"2024-12-14T20:10:18Z","title":"ALPACA -- Adaptive Learning Pipeline for Comprehensive AI","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-11T15:29:14.354271Z"},"links":{"citing_paper":"/paper/2412.10950"},"observation_digest":"sha256:e25fc4e080ea46b66fabdea1939ef7c6e58e7fb93d8a20c4d4e03d3019cf069b","observation_id":"4ee9c9c8-cdac-4fd0-9c7c-38ffc04e0037","resolution":{"observed_at":"2026-08-11T15:29:14.742536Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+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":"2026-08-11T15:29:14.730511Z","title":"Kubernetes","venue":null,"work_id":"fb7b150e-1142-4234-97f7-5d908184dff8","year":2023},"citing_paper":{"arxiv_id":"2412.10950","last_updated":"2024-12-14T20:10:18Z","snapshot_observed_at":"2026-08-19T17:32:16.063981Z","submitted_at":"2024-12-14T20:10:18Z","title":"ALPACA -- Adaptive Learning Pipeline for Comprehensive AI","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-11T15:29:14.357421Z"},"links":{"citing_paper":"/paper/2412.10950"},"observation_digest":"sha256:919b882f698d42819e0d5cbb560d54f6ece1596319ab1beadcc17fcf1ff5e432","observation_id":"f96c922f-0fe4-4eaf-a8a4-747b1fb71006","resolution":{"observed_at":"2026-08-11T15:29:14.733617Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+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":"2026-08-11T15:29:14.721215Z","title":"Luigi: A python-based open-source framework for building complex data pipelines","venue":null,"work_id":"ca6ec27e-163d-479e-b40a-102595b53e8f","year":2021},"citing_paper":{"arxiv_id":"2412.10950","last_updated":"2024-12-14T20:10:18Z","snapshot_observed_at":"2026-08-19T17:32:16.063981Z","submitted_at":"2024-12-14T20:10:18Z","title":"ALPACA -- Adaptive Learning Pipeline for Comprehensive AI","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-11T15:29:14.360480Z"},"links":{"citing_paper":"/paper/2412.10950"},"observation_digest":"sha256:c4649c2547d849b17bd2d00394c9db10c2594461a2e21f1c0870e78fc1bdceb0","observation_id":"301c179c-0c01-4fb9-9ae4-39d04488aeb2","resolution":{"observed_at":"2026-08-11T15:29:14.724406Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+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":"2026-08-11T15:29:14.711542Z","title":"Selenium with python — selenium python bindings 2 documentation","venue":null,"work_id":"d9c20e37-ef05-4e51-b889-199a515770d9","year":2023},"citing_paper":{"arxiv_id":"2412.10950","last_updated":"2024-12-14T20:10:18Z","snapshot_observed_at":"2026-08-19T17:32:16.063981Z","submitted_at":"2024-12-14T20:10:18Z","title":"ALPACA -- Adaptive Learning Pipeline for Comprehensive AI","version":1},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-11T15:29:14.363444Z"},"links":{"citing_paper":"/paper/2412.10950"},"observation_digest":"sha256:154796b22d2040b6fc039b1b1f307745e17e568ddb75e055320d02c1a58ec3a5","observation_id":"84ff1c70-1188-41f1-bea6-1be6f15990ab","resolution":{"observed_at":"2026-08-11T15:29:14.714745Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+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":"2026-08-11T15:29:14.699431Z","title":"Ai4eu: The ai4eu vision for artificial intelligence in europe","venue":null,"work_id":"f6b46c7a-19cc-4553-9934-c76577628c96","year":2020},"citing_paper":{"arxiv_id":"2412.10950","last_updated":"2024-12-14T20:10:18Z","snapshot_observed_at":"2026-08-19T17:32:16.063981Z","submitted_at":"2024-12-14T20:10:18Z","title":"ALPACA -- Adaptive Learning Pipeline for Comprehensive AI","version":1},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-11T15:29:14.366723Z"},"links":{"citing_paper":"/paper/2412.10950"},"observation_digest":"sha256:0ad6e3bdb253a4e2c098a628747dab5a42b2bca413c3de04526c01db379c1ce9","observation_id":"9ac8f1a9-2296-4279-b099-60afb24df80d","resolution":{"observed_at":"2026-08-11T15:29:14.703079Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2412.10950","last_updated":"2024-12-14T20:10:18Z","latest_version":1,"primary_category":"cs.DC","snapshot_observed_at":"2026-08-19T17:32:16.063981Z","submitted_at":"2024-12-14T20:10:18Z","title":"ALPACA -- Adaptive Learning Pipeline for Comprehensive AI"},"reference_resolution":{"displayed":45,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":6,"verified_exact":3,"verified_fuzzy":36},"total_outbound_references":45},"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":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"thesis":"As of 23 August 2026, this Paper Citation Record lists 45 of 45 outbound references and 1 inbound Pith citation observation for arXiv:2412.10950."}