{"as_of":"2026-08-13T10:02:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:78f6900db2bef092173bbf83ca6a5d0539f5aa4a2d3d5bd044770cb7dadccad8","coverage":[{"denominator":15,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":15,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-10T22:39:23.139267Z","state":"measured"},{"denominator":15,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":15,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-13T06:32:02.005865+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/2501.01239/citation-record","integrity":"/paper/2501.01239/integrity","json":"/paper/2501.01239/citation-record.json","paper":"/paper/2501.01239"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T22:39:23.390056Z","title":"(2023) Neural Networks and Deep Learning: a Textbook, Springer-Verlag, 2nd ed","venue":null,"work_id":"3a08d880-fd39-402e-9b5a-27d4ee6ca732","year":2023},"citing_paper":{"arxiv_id":"2501.01239","last_updated":"2025-08-28T12:38:39Z","snapshot_observed_at":"2026-08-12T15:34:58.494897Z","submitted_at":"2025-01-02T12:59:10Z","title":"High-Order Tensor Regression in Sparse Convolutional Neural Networks","version":5},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-10T22:39:23.069560Z"},"links":{"citing_paper":"/paper/2501.01239"},"observation_digest":"sha256:2713d342ba0e24fb9096880829993c2de6ba3d5e3c9f6f37d7e2c72adc22c25b","observation_id":"af210547-385d-4cde-bb8c-9a684d96d6d8","resolution":{"observed_at":"2026-08-10T22:39:23.395631Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2411.12873","last_updated":"2025-09-11T14:36:59Z","snapshot_observed_at":"2026-08-12T17:03:49.223566Z","submitted_at":"2024-11-19T21:36:04Z","title":"Tensor-Based Foundations of Ordinary Least Squares and Neural Network Regression Models","version":5},"cited_work":{"arxiv_id":"2411.12873","doi":null,"metadata_source":"pith","pith_arxiv_id":"2411.12873","snapshot_observed_at":"2026-08-10T22:39:23.189341Z","title":"Tensor-Based Foundations of Ordinary Least Squares and Neural Network Regression Models","venue":"cs.LG","work_id":"70b599da-df18-4c6e-9b94-90b6b6754ff3","year":2024},"citing_paper":{"arxiv_id":"2501.01239","last_updated":"2025-08-28T12:38:39Z","snapshot_observed_at":"2026-08-12T15:34:58.494897Z","submitted_at":"2025-01-02T12:59:10Z","title":"High-Order Tensor Regression in Sparse Convolutional Neural Networks","version":5},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-10T22:39:23.075253Z"},"links":{"cited_paper":"/paper/2411.12873","citing_paper":"/paper/2501.01239"},"observation_digest":"sha256:40f148b4b767ceeaa24ea8ac695c67e96b20be9d4ea77fa9e8468d91b5cc0c7a","observation_id":"c42acb2f-99a2-464e-b243-2afbe10dbc8f","resolution":{"observed_at":"2026-08-10T22:39:23.197045Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-10T22:39:23.375525Z","title":"& Bishop, H","venue":null,"work_id":"0bbb650d-43ac-4265-9cce-241b60d2dfe2","year":2024},"citing_paper":{"arxiv_id":"2501.01239","last_updated":"2025-08-28T12:38:39Z","snapshot_observed_at":"2026-08-12T15:34:58.494897Z","submitted_at":"2025-01-02T12:59:10Z","title":"High-Order Tensor Regression in Sparse Convolutional Neural Networks","version":5},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-10T22:39:23.080329Z"},"links":{"citing_paper":"/paper/2501.01239"},"observation_digest":"sha256:8cc18395dc07e470ae50d44f829b3bc6d7428ffaaa71550529078c5bb13e2998","observation_id":"1f57cfc4-7f82-42cd-a704-99bba6283d6d","resolution":{"observed_at":"2026-08-10T22:39:23.380656Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-10T22:39:23.360903Z","title":"& Goldberg, S","venue":null,"work_id":"ab67047e-600d-43cb-ae47-2566765aec59","year":1980},"citing_paper":{"arxiv_id":"2501.01239","last_updated":"2025-08-28T12:38:39Z","snapshot_observed_at":"2026-08-12T15:34:58.494897Z","submitted_at":"2025-01-02T12:59:10Z","title":"High-Order Tensor Regression in Sparse Convolutional Neural Networks","version":5},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-10T22:39:23.085264Z"},"links":{"citing_paper":"/paper/2501.01239"},"observation_digest":"sha256:18d717d6b9755472f922b569e03af0a9d46c5188b68b404b935c1234431ccca7","observation_id":"def73ea4-713e-4f96-9598-acbadfc2c302","resolution":{"observed_at":"2026-08-10T22:39:23.366008Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-10T22:39:23.345288Z","title":"& Wang, C","venue":null,"work_id":"0e7b0881-abaf-479c-9c0a-a3b02a56e8c5","year":2008},"citing_paper":{"arxiv_id":"2501.01239","last_updated":"2025-08-28T12:38:39Z","snapshot_observed_at":"2026-08-12T15:34:58.494897Z","submitted_at":"2025-01-02T12:59:10Z","title":"High-Order Tensor Regression in Sparse Convolutional Neural Networks","version":5},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-10T22:39:23.090499Z"},"links":{"citing_paper":"/paper/2501.01239"},"observation_digest":"sha256:3cb0ae99261b77325cea0d3b9b8ec4267fff96eddcc1eb54d2b3d8262edd45f7","observation_id":"7aba67ce-3a5e-487d-971e-9342d500028e","resolution":{"observed_at":"2026-08-10T22:39:23.350868Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-10T22:39:23.329945Z","title":"et al (2024)Math and Architectures of Deep Learning, Man- ning Publications Co., 1st ed","venue":null,"work_id":"195730f8-5822-445f-845e-7a542d45522a","year":2024},"citing_paper":{"arxiv_id":"2501.01239","last_updated":"2025-08-28T12:38:39Z","snapshot_observed_at":"2026-08-12T15:34:58.494897Z","submitted_at":"2025-01-02T12:59:10Z","title":"High-Order Tensor Regression in Sparse Convolutional Neural Networks","version":5},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-10T22:39:23.095822Z"},"links":{"citing_paper":"/paper/2501.01239"},"observation_digest":"sha256:94fa2f32a5e9939c57930a44303d6405a7c7ca2122ec078818d5bfb9b5e77b7b","observation_id":"92b0ad70-cbbf-452d-a64a-9eb3a2049ad2","resolution":{"observed_at":"2026-08-10T22:39:23.334773Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-10T22:39:23.314059Z","title":"(2021)Deep Learning with Python, Manning Publications Co., 2nd ed","venue":null,"work_id":"f0ffa49e-17a8-47cb-9c31-2257f1bd4e21","year":2021},"citing_paper":{"arxiv_id":"2501.01239","last_updated":"2025-08-28T12:38:39Z","snapshot_observed_at":"2026-08-12T15:34:58.494897Z","submitted_at":"2025-01-02T12:59:10Z","title":"High-Order Tensor Regression in Sparse Convolutional Neural Networks","version":5},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-10T22:39:23.101367Z"},"links":{"citing_paper":"/paper/2501.01239"},"observation_digest":"sha256:2042cf06b38003c7dfc4deb7b51f42e7aec09573250b756d2a24cab8f8a23833","observation_id":"dd04fd27-8fda-4ea8-a6a4-c367b89b4678","resolution":{"observed_at":"2026-08-10T22:39:23.319385Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-10T22:39:23.298760Z","title":"(2022)Tensorflow in Action, Manning Publications Co., 1st ed","venue":null,"work_id":"597fa90b-6646-498f-ad9b-d1be224dddb0","year":2022},"citing_paper":{"arxiv_id":"2501.01239","last_updated":"2025-08-28T12:38:39Z","snapshot_observed_at":"2026-08-12T15:34:58.494897Z","submitted_at":"2025-01-02T12:59:10Z","title":"High-Order Tensor Regression in Sparse Convolutional Neural Networks","version":5},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-10T22:39:23.105756Z"},"links":{"citing_paper":"/paper/2501.01239"},"observation_digest":"sha256:348c3bc8315edec7a6e4c32d4e6828aae375ec5362685f1a132a9c976f4eedb4","observation_id":"82ee69d5-4974-4d92-9473-4942fa37c12c","resolution":{"observed_at":"2026-08-10T22:39:23.303731Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-10T22:39:23.283726Z","title":"(2023) Hands-On Machine Learning with Scikit-Learn, Keras and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Sys- tems, O’Reilly Media Inc., 3rd ed","venue":null,"work_id":"38ebc630-9c5b-4ffa-ad68-e65b13cf3dc2","year":2023},"citing_paper":{"arxiv_id":"2501.01239","last_updated":"2025-08-28T12:38:39Z","snapshot_observed_at":"2026-08-12T15:34:58.494897Z","submitted_at":"2025-01-02T12:59:10Z","title":"High-Order Tensor Regression in Sparse Convolutional Neural Networks","version":5},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-10T22:39:23.110562Z"},"links":{"citing_paper":"/paper/2501.01239"},"observation_digest":"sha256:08a8768f1dcaa0a5d541668699c4171c41a578d945f9de4db1c98cedd96b6cef","observation_id":"827b9ecd-ea9c-4c8d-b030-525965cbe539","resolution":{"observed_at":"2026-08-10T22:39:23.288448Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-10T22:39:23.267149Z","title":"et al (2016)Deep Learning, MIT Press, 1st ed","venue":null,"work_id":"ac83abf7-0c49-4fd7-b4f2-060861147817","year":2016},"citing_paper":{"arxiv_id":"2501.01239","last_updated":"2025-08-28T12:38:39Z","snapshot_observed_at":"2026-08-12T15:34:58.494897Z","submitted_at":"2025-01-02T12:59:10Z","title":"High-Order Tensor Regression in Sparse Convolutional Neural Networks","version":5},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-10T22:39:23.115046Z"},"links":{"citing_paper":"/paper/2501.01239"},"observation_digest":"sha256:ac378661429e38d907abbb4e99d63a84966bdc7421f5eef7d77727511cfcbd6c","observation_id":"14832f9d-9a43-4a64-982e-3cfdf3dbb579","resolution":{"observed_at":"2026-08-10T22:39:23.272299Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-10T22:39:23.252315Z","title":"et al (2017)The Elements of Statistical Learning: Data Mining, Inference, and Prediction, Springer-Verlag, 2nd ed","venue":null,"work_id":"945026d9-6895-434c-aaa5-ee7d71ab741e","year":2017},"citing_paper":{"arxiv_id":"2501.01239","last_updated":"2025-08-28T12:38:39Z","snapshot_observed_at":"2026-08-12T15:34:58.494897Z","submitted_at":"2025-01-02T12:59:10Z","title":"High-Order Tensor Regression in Sparse Convolutional Neural Networks","version":5},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-10T22:39:23.120005Z"},"links":{"citing_paper":"/paper/2501.01239"},"observation_digest":"sha256:8b40c30f84b444c1bcf1c46b0afb8b37204df55fa9915a0d78d3606809532bdd","observation_id":"f7d5fc89-1a94-4268-9bfe-7892a391fdde","resolution":{"observed_at":"2026-08-10T22:39:23.257545Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2310.20360","last_updated":"2025-07-15T18:49:51Z","snapshot_observed_at":"2026-08-13T05:36:44.758757Z","submitted_at":"2023-10-31T11:01:23Z","title":"Mathematical Introduction to Deep Learning: Methods, Implementations, and Theory","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2310.20360","snapshot_observed_at":"2026-08-10T22:39:23.124503Z","title":"et al (2023) Mathematical Introduction to Deep Learning: Methods, Implementations, and Theory , arXiv, Available at: https: //arxiv.org/abs/2310.20360, 1st ed","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2501.01239","last_updated":"2025-08-28T12:38:39Z","snapshot_observed_at":"2026-08-12T15:34:58.494897Z","submitted_at":"2025-01-02T12:59:10Z","title":"High-Order Tensor Regression in Sparse Convolutional Neural Networks","version":5},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-10T22:39:23.124503Z"},"links":{"cited_paper":"/paper/2310.20360","citing_paper":"/paper/2501.01239"},"observation_digest":"sha256:f33eb9650ee16137aa06140d31970583661098dfa4111b2568b8662e1f0babb2","observation_id":"167a86b5-e6ab-48cc-97bf-4c292dda0a46","resolution":{"observed_at":"2026-08-10T22:39:23.124503Z","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":"2026-08-10T22:39:23.237776Z","title":"et al (2020)Machine Learning for Predictive Data Analytics, MIT Press, 2nd ed","venue":null,"work_id":"3e919caf-c67b-4110-849a-cc99ec53ce56","year":2020},"citing_paper":{"arxiv_id":"2501.01239","last_updated":"2025-08-28T12:38:39Z","snapshot_observed_at":"2026-08-12T15:34:58.494897Z","submitted_at":"2025-01-02T12:59:10Z","title":"High-Order Tensor Regression in Sparse Convolutional Neural Networks","version":5},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-10T22:39:23.129471Z"},"links":{"citing_paper":"/paper/2501.01239"},"observation_digest":"sha256:a3e73b2326230a15f2596d20c33a4d1def621540216eadf8d3f9a337223d1617","observation_id":"9cca4ff0-de12-41a1-b145-513833538102","resolution":{"observed_at":"2026-08-10T22:39:23.242522Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-10T22:39:23.223174Z","title":"et al (2024)Mathematical Engineering of Deep Learning, Chap- man and Hall/CRC, 1st ed","venue":null,"work_id":"65d9b8ad-8509-43a4-b536-b6693aa1a338","year":2024},"citing_paper":{"arxiv_id":"2501.01239","last_updated":"2025-08-28T12:38:39Z","snapshot_observed_at":"2026-08-12T15:34:58.494897Z","submitted_at":"2025-01-02T12:59:10Z","title":"High-Order Tensor Regression in Sparse Convolutional Neural Networks","version":5},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-10T22:39:23.134810Z"},"links":{"citing_paper":"/paper/2501.01239"},"observation_digest":"sha256:189f8374d5543187d852cc484ff94bf410769c8a5c76438a1c181f1bfea82197","observation_id":"552ee917-ba04-4e3e-97f4-a566ca40a3f7","resolution":{"observed_at":"2026-08-10T22:39:23.227835Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-10T22:39:23.208125Z","title":"(1965)Calculus on Manifolds: a Modern Approach to Classical Theorems of Advanced Calculus, Perseus Books Publishing, 1st ed","venue":null,"work_id":"6a02f525-ac6b-4c4a-9ebf-55c93073b540","year":1965},"citing_paper":{"arxiv_id":"2501.01239","last_updated":"2025-08-28T12:38:39Z","snapshot_observed_at":"2026-08-12T15:34:58.494897Z","submitted_at":"2025-01-02T12:59:10Z","title":"High-Order Tensor Regression in Sparse Convolutional Neural Networks","version":5},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-10T22:39:23.139267Z"},"links":{"citing_paper":"/paper/2501.01239"},"observation_digest":"sha256:9583354cbeddd0265d8f0c9f4092b146d67ab6b38c4623d84c0ed0bffdfe487a","observation_id":"4e360156-2274-4f23-b502-72bd62de860d","resolution":{"observed_at":"2026-08-10T22:39:23.213213Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2501.01239","last_updated":"2025-08-28T12:38:39Z","latest_version":5,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-12T15:34:58.494897Z","submitted_at":"2025-01-02T12:59:10Z","title":"High-Order Tensor Regression in Sparse Convolutional Neural Networks"},"reference_resolution":{"displayed":15,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":1,"verified_exact":1,"verified_fuzzy":13},"total_outbound_references":15},"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":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"thesis":"As of 13 August 2026, this Paper Citation Record lists 15 of 15 outbound references and 0 inbound Pith citation observations for arXiv:2501.01239."}