{"as_of":"2026-08-08T19:00:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:e0472c28d536fa9043db26a234be06aa28e0e5a5f9fe23c09b30fcd270884a6d","coverage":[{"denominator":54,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":54,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T05:54:40.532462Z","state":"measured"},{"denominator":54,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":54,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-08T06:32:00.761636+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/2506.06769/citation-record","integrity":"/paper/2506.06769/integrity","json":"/paper/2506.06769/citation-record.json","paper":"/paper/2506.06769"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:54:41.162946Z","title":"Enabling cost-effective data processing with smart SSD","venue":null,"work_id":"ab5429c6-05fd-4497-b5a1-92249273cacf","year":2013},"citing_paper":{"arxiv_id":"2506.06769","last_updated":"2025-06-07T11:35:03Z","snapshot_observed_at":"2026-08-07T05:47:34.160767Z","submitted_at":"2025-06-07T11:35:03Z","title":"Containerized In-Storage Processing and Computing-Enabled SSD Disaggregation","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-07T05:54:40.337325Z"},"links":{"citing_paper":"/paper/2506.06769"},"observation_digest":"sha256:2798623cc1e4b7c10053e27adc3d76cc318e63054600d6212b8f8961bcaff497","observation_id":"1ed39f13-c70a-4bf4-a9b1-9fae48c31b99","resolution":{"observed_at":"2026-08-07T05:54:41.166923Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T05:54:41.151232Z","title":"Accelerating external sorting via {On-the-fly} data merge in active {SSDs}","venue":null,"work_id":"54ff740f-29af-4db8-86ee-aca61befdea1","year":2014},"citing_paper":{"arxiv_id":"2506.06769","last_updated":"2025-06-07T11:35:03Z","snapshot_observed_at":"2026-08-07T05:47:34.160767Z","submitted_at":"2025-06-07T11:35:03Z","title":"Containerized In-Storage Processing and Computing-Enabled SSD Disaggregation","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-07T05:54:40.341812Z"},"links":{"citing_paper":"/paper/2506.06769"},"observation_digest":"sha256:35d59c125a6925d38175ad5f37d9ed844ab00f0d6cc343cadd45132aac9154fd","observation_id":"49798e03-4f3c-462e-9931-4a725df0062b","resolution":{"observed_at":"2026-08-07T05:54:41.155509Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T05:54:41.138934Z","title":"Willow: A User- Programmable SSD, OSDI’14","venue":null,"work_id":"6952150d-299c-4947-8891-11c663ddc8cb","year":null},"citing_paper":{"arxiv_id":"2506.06769","last_updated":"2025-06-07T11:35:03Z","snapshot_observed_at":"2026-08-07T05:47:34.160767Z","submitted_at":"2025-06-07T11:35:03Z","title":"Containerized In-Storage Processing and Computing-Enabled SSD Disaggregation","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-07T05:54:40.345387Z"},"links":{"citing_paper":"/paper/2506.06769"},"observation_digest":"sha256:fb1e643e85a0e94a74013687705f12d15600993a51475e37d8221a807f24c87f","observation_id":"8d9a422a-52fb-461a-8bba-7ebdbd952097","resolution":{"observed_at":"2026-08-07T05:54:41.143610Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T05:54:41.126326Z","title":"Yoon, Duck-Ho Bae, Insoon Jo, Jinyoung Lee, Jonghyun Yoon, Jeong-Uk Kang, Moonsang Kwon, Chanho Yoon, Sangyeun Cho, Jaeheon Jeong, and Duckhyun Chang","venue":null,"work_id":"3f7bbbeb-7542-4aeb-85ae-f31a6cdc30fc","year":null},"citing_paper":{"arxiv_id":"2506.06769","last_updated":"2025-06-07T11:35:03Z","snapshot_observed_at":"2026-08-07T05:47:34.160767Z","submitted_at":"2025-06-07T11:35:03Z","title":"Containerized In-Storage Processing and Computing-Enabled SSD Disaggregation","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-07T05:54:40.349230Z"},"links":{"citing_paper":"/paper/2506.06769"},"observation_digest":"sha256:1579560bf21992fb44ae121476bc7834c26c7c0c8ac587bbe0b96c414bc745a4","observation_id":"1e5f2f2a-1456-404d-9709-437f4ec8f422","resolution":{"observed_at":"2026-08-07T05:54:41.130774Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T05:54:41.112900Z","title":"In-storage processing of database scans and joins","venue":null,"work_id":"83d1ea83-1dbf-48e9-b467-9a9c31c28e74","year":2016},"citing_paper":{"arxiv_id":"2506.06769","last_updated":"2025-06-07T11:35:03Z","snapshot_observed_at":"2026-08-07T05:47:34.160767Z","submitted_at":"2025-06-07T11:35:03Z","title":"Containerized In-Storage Processing and Computing-Enabled SSD Disaggregation","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-07T05:54:40.353328Z"},"links":{"citing_paper":"/paper/2506.06769"},"observation_digest":"sha256:d71cfc2c14871fa8382fc7d7e68528e1aba2c94d25f1756ed72e38c956d40d1c","observation_id":"c12b7ffd-94f9-4fd6-ba60-fb6d306896e5","resolution":{"observed_at":"2026-08-07T05:54:41.118415Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T05:54:41.101536Z","title":"Yoursql: a high-performance database sys- tem leveraging in-storage computing","venue":null,"work_id":"82b504dc-9e83-4e08-bb40-1e30e54fc080","year":2016},"citing_paper":{"arxiv_id":"2506.06769","last_updated":"2025-06-07T11:35:03Z","snapshot_observed_at":"2026-08-07T05:47:34.160767Z","submitted_at":"2025-06-07T11:35:03Z","title":"Containerized In-Storage Processing and Computing-Enabled SSD Disaggregation","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-07T05:54:40.357312Z"},"links":{"citing_paper":"/paper/2506.06769"},"observation_digest":"sha256:9f72e802e1b06337e96b343a390e3b6c7c33d59edd31fdc5e94019b2073eb826","observation_id":"972817f7-c7f4-43ea-b10b-145628aabe4e","resolution":{"observed_at":"2026-08-07T05:54:41.105435Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T05:54:41.090124Z","title":"Kaml: A flexible, high-performance key-value ssd","venue":null,"work_id":"d6dd0a0e-6a5c-4a44-806f-70b048fd56ac","year":2017},"citing_paper":{"arxiv_id":"2506.06769","last_updated":"2025-06-07T11:35:03Z","snapshot_observed_at":"2026-08-07T05:47:34.160767Z","submitted_at":"2025-06-07T11:35:03Z","title":"Containerized In-Storage Processing and Computing-Enabled SSD Disaggregation","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-07T05:54:40.361226Z"},"links":{"citing_paper":"/paper/2506.06769"},"observation_digest":"sha256:7643b7b3753668d3c19246804b40bc9bf05afa1dc8c8d1d5ea0438dd1f8dc85f","observation_id":"6b2fa746-f1aa-4b82-8a93-721dae3b64f9","resolution":{"observed_at":"2026-08-07T05:54:41.094173Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T05:54:41.078131Z","title":"Summarizer: trading communication with computing near stor- age","venue":null,"work_id":"af70056e-376a-4ce8-89ab-cf4ad079ef2e","year":2017},"citing_paper":{"arxiv_id":"2506.06769","last_updated":"2025-06-07T11:35:03Z","snapshot_observed_at":"2026-08-07T05:47:34.160767Z","submitted_at":"2025-06-07T11:35:03Z","title":"Containerized In-Storage Processing and Computing-Enabled SSD Disaggregation","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-07T05:54:40.365050Z"},"links":{"citing_paper":"/paper/2506.06769"},"observation_digest":"sha256:62a40b9091d20269e25431402ae96a465670e1e1440da76e5163ece4d13ebfb7","observation_id":"0697bd12-f4c7-49db-a5ec-70dd8a9247d8","resolution":{"observed_at":"2026-08-07T05:54:41.082860Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T05:54:41.064724Z","title":"Prolonging 3d nand ssd lifetime via read latency relaxation","venue":null,"work_id":"cd75d4a2-a085-4b83-8892-7ba1eed723f6","year":2021},"citing_paper":{"arxiv_id":"2506.06769","last_updated":"2025-06-07T11:35:03Z","snapshot_observed_at":"2026-08-07T05:47:34.160767Z","submitted_at":"2025-06-07T11:35:03Z","title":"Containerized In-Storage Processing and Computing-Enabled SSD Disaggregation","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-07T05:54:40.368741Z"},"links":{"citing_paper":"/paper/2506.06769"},"observation_digest":"sha256:85289f446a5494329c4e2e8564a3a1925d320eb3d241a9679ffb1e66a9371f2b","observation_id":"3589e11f-9fef-432f-99f1-69ba975d77c3","resolution":{"observed_at":"2026-08-07T05:54:41.068905Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T05:54:41.053258Z","title":"Catalina: In-storage process- ing acceleration for scalable big data analytics","venue":null,"work_id":"0c33cd78-3692-4dce-91dc-6f7b188dc41c","year":2019},"citing_paper":{"arxiv_id":"2506.06769","last_updated":"2025-06-07T11:35:03Z","snapshot_observed_at":"2026-08-07T05:47:34.160767Z","submitted_at":"2025-06-07T11:35:03Z","title":"Containerized In-Storage Processing and Computing-Enabled SSD Disaggregation","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-07T05:54:40.372377Z"},"links":{"citing_paper":"/paper/2506.06769"},"observation_digest":"sha256:f8b3a139032628197780a073d0ae5f8c746c75ed28a13b98b547039b13e9f690","observation_id":"9734ed69-74db-472a-826a-595ac1867b67","resolution":{"observed_at":"2026-08-07T05:54:41.057174Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T05:54:41.041710Z","title":"{INSIDER}: Designing {In-Storage} computing system for emerging {High-Performance} drive","venue":null,"work_id":"d86e99d7-8774-48bb-b02f-a4d6ce02f86b","year":2019},"citing_paper":{"arxiv_id":"2506.06769","last_updated":"2025-06-07T11:35:03Z","snapshot_observed_at":"2026-08-07T05:47:34.160767Z","submitted_at":"2025-06-07T11:35:03Z","title":"Containerized In-Storage Processing and Computing-Enabled SSD Disaggregation","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-07T05:54:40.376013Z"},"links":{"citing_paper":"/paper/2506.06769"},"observation_digest":"sha256:0e33a0cc5c7966f0b026a1e8c0b7d44ae93f7f13c89ea2a75bf9238a11f25dec","observation_id":"ed7092f9-9faf-4375-922b-d24c3932db0e","resolution":{"observed_at":"2026-08-07T05:54:41.045972Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T05:54:41.029498Z","title":"Genstore: A high-performance in-storage processing system for genome sequence analysis","venue":null,"work_id":"ffd9ca77-40dd-480a-b8ee-3e1be59385c2","year":2022},"citing_paper":{"arxiv_id":"2506.06769","last_updated":"2025-06-07T11:35:03Z","snapshot_observed_at":"2026-08-07T05:47:34.160767Z","submitted_at":"2025-06-07T11:35:03Z","title":"Containerized In-Storage Processing and Computing-Enabled SSD Disaggregation","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-07T05:54:40.379903Z"},"links":{"citing_paper":"/paper/2506.06769"},"observation_digest":"sha256:3fefb13470c29dde2668a66ded148c63b11ed8c6e2cd30a3294f4f2cb7bd6a12","observation_id":"7513de99-00ae-47d5-ab8d-1f1e79999345","resolution":{"observed_at":"2026-08-07T05:54:41.033318Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T05:54:41.017501Z","title":"Containerized in- storage processing model and hardware acceler- ation for fully-flexible computational ssds","venue":null,"work_id":"da904da7-cddd-4c99-b3f8-f5c60beef797","year":2023},"citing_paper":{"arxiv_id":"2506.06769","last_updated":"2025-06-07T11:35:03Z","snapshot_observed_at":"2026-08-07T05:47:34.160767Z","submitted_at":"2025-06-07T11:35:03Z","title":"Containerized In-Storage Processing and Computing-Enabled SSD Disaggregation","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-07T05:54:40.383499Z"},"links":{"citing_paper":"/paper/2506.06769"},"observation_digest":"sha256:d3ec29c5f59e6300dd32ab17903e7fb7f74df4a0c8e944c7909583cff7b0a4bc","observation_id":"24f86e43-8d4a-49fe-a553-2ae026e54f42","resolution":{"observed_at":"2026-08-07T05:54:41.021673Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T05:54:41.005806Z","title":"11 Bae, and Myoungsoo Jung","venue":null,"work_id":"4a13bc49-2fa1-4dbc-8b0b-8e164e3ff986","year":2024},"citing_paper":{"arxiv_id":"2506.06769","last_updated":"2025-06-07T11:35:03Z","snapshot_observed_at":"2026-08-07T05:47:34.160767Z","submitted_at":"2025-06-07T11:35:03Z","title":"Containerized In-Storage Processing and Computing-Enabled SSD Disaggregation","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-07T05:54:40.387081Z"},"links":{"citing_paper":"/paper/2506.06769"},"observation_digest":"sha256:78becdf637412b5e07b9f501cad0654c2087cf14a90aa278995727e1778fcd61","observation_id":"5bc88bdd-c8b9-4add-9257-b9f43f92661e","resolution":{"observed_at":"2026-08-07T05:54:41.009381Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T05:54:40.992901Z","title":"Samsung Key V alue SSD enables High Performance Scaling","venue":null,"work_id":"f9c5b58a-09b5-4f03-b179-c52b63b64b2a","year":2017},"citing_paper":{"arxiv_id":"2506.06769","last_updated":"2025-06-07T11:35:03Z","snapshot_observed_at":"2026-08-07T05:47:34.160767Z","submitted_at":"2025-06-07T11:35:03Z","title":"Containerized In-Storage Processing and Computing-Enabled SSD Disaggregation","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-07T05:54:40.390734Z"},"links":{"citing_paper":"/paper/2506.06769"},"observation_digest":"sha256:fe21411d91d23b5599ae46933ebab84dfb8aa463a5a5e925f84297584468e199","observation_id":"c5ba8c80-ce1b-43f2-bf0b-e74fe1047490","resolution":{"observed_at":"2026-08-07T05:54:40.997396Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T05:54:40.980988Z","title":"{PinK}: High-speed in-storage key- value store with bounded tails","venue":null,"work_id":"bf4e3aaf-5bb4-41e6-a156-0ff7fd32dfd1","year":2020},"citing_paper":{"arxiv_id":"2506.06769","last_updated":"2025-06-07T11:35:03Z","snapshot_observed_at":"2026-08-07T05:47:34.160767Z","submitted_at":"2025-06-07T11:35:03Z","title":"Containerized In-Storage Processing and Computing-Enabled SSD Disaggregation","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-07T05:54:40.394240Z"},"links":{"citing_paper":"/paper/2506.06769"},"observation_digest":"sha256:d17cb3894131f667f6459ee07eb454a3be50108fb7fe329d4e6d3f062df93c0e","observation_id":"80faf48b-a2dc-4c47-a53e-078f30ff0486","resolution":{"observed_at":"2026-08-07T05:54:40.984754Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T05:54:40.969904Z","title":"LS2088A Intelligent-SSD Card","venue":null,"work_id":"3c03fa98-c4ce-4ce1-ba79-6125f383b2e8","year":2022},"citing_paper":{"arxiv_id":"2506.06769","last_updated":"2025-06-07T11:35:03Z","snapshot_observed_at":"2026-08-07T05:47:34.160767Z","submitted_at":"2025-06-07T11:35:03Z","title":"Containerized In-Storage Processing and Computing-Enabled SSD Disaggregation","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-07T05:54:40.397582Z"},"links":{"citing_paper":"/paper/2506.06769"},"observation_digest":"sha256:c9eef976570d94249b2ae515b8871211e1e7999d2c6006f5344046ecf71df0bf","observation_id":"628a44c5-b442-47ae-97c9-22a7847bfb3f","resolution":{"observed_at":"2026-08-07T05:54:40.973624Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T05:54:40.958111Z","title":"{Vigil- KV}:{Hardware-Software}{Co-Design} to inte- grate strong latency determinism into {Log- Structured} merge {Key-V alue} stores","venue":null,"work_id":"a7cf240f-df0a-49a6-842d-ecfbfa99c973","year":2022},"citing_paper":{"arxiv_id":"2506.06769","last_updated":"2025-06-07T11:35:03Z","snapshot_observed_at":"2026-08-07T05:47:34.160767Z","submitted_at":"2025-06-07T11:35:03Z","title":"Containerized In-Storage Processing and Computing-Enabled SSD Disaggregation","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-07T05:54:40.400999Z"},"links":{"citing_paper":"/paper/2506.06769"},"observation_digest":"sha256:1872202371c00d989b13698f58a2e1541c85f6ce9518aea00607cfc33bb73c39","observation_id":"c42f434c-eed0-4b5d-8317-bd935f2c4972","resolution":{"observed_at":"2026-08-07T05:54:40.961860Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T05:54:40.946627Z","title":"Dotori: A key-value ssd based kv store","venue":null,"work_id":"6c93c05e-0cc2-4c6c-9764-79d4b84c8f24","year":2023},"citing_paper":{"arxiv_id":"2506.06769","last_updated":"2025-06-07T11:35:03Z","snapshot_observed_at":"2026-08-07T05:47:34.160767Z","submitted_at":"2025-06-07T11:35:03Z","title":"Containerized In-Storage Processing and Computing-Enabled SSD Disaggregation","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-07T05:54:40.404486Z"},"links":{"citing_paper":"/paper/2506.06769"},"observation_digest":"sha256:b0d1c470479d130eb63b1e1b83330d6b8dc001ff3b546a0eb3515b70d75a8cfd","observation_id":"b05011aa-e168-4a47-b1b4-92d38e9c5cdc","resolution":{"observed_at":"2026-08-07T05:54:40.950902Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T05:54:40.935142Z","title":"Kv-csd: A hardware-accelerated key- value store for data-intensive applications","venue":null,"work_id":"2aca96e7-6724-4f4a-9928-2597bf12ce70","year":2023},"citing_paper":{"arxiv_id":"2506.06769","last_updated":"2025-06-07T11:35:03Z","snapshot_observed_at":"2026-08-07T05:47:34.160767Z","submitted_at":"2025-06-07T11:35:03Z","title":"Containerized In-Storage Processing and Computing-Enabled SSD Disaggregation","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-07T05:54:40.408163Z"},"links":{"citing_paper":"/paper/2506.06769"},"observation_digest":"sha256:39357a6e9826cfe145ce25c64c35c2a0720910b212ee635ab8bc8b818d7d785f","observation_id":"d13fa1ac-0171-4012-8485-f8f7e9e45a4b","resolution":{"observed_at":"2026-08-07T05:54:40.938933Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2406.12832","last_updated":"2024-06-18T17:52:59Z","snapshot_observed_at":"2026-07-06T18:33:11.370375Z","submitted_at":"2024-06-18T17:52:59Z","title":"LaMDA: Large Model Fine-Tuning via Spectrally Decomposed Low-Dimensional Adaptation","version":1},"cited_work":{"arxiv_id":"2406.12832","doi":null,"metadata_source":"pith","pith_arxiv_id":"2406.12832","snapshot_observed_at":"2026-08-07T05:54:40.598680Z","title":"LaMDA: Large Model Fine-Tuning via Spectrally Decomposed Low-Dimensional Adaptation","venue":"cs.CL","work_id":"11b22894-dc48-421c-be86-ebbb9eb5a77e","year":2024},"citing_paper":{"arxiv_id":"2506.06769","last_updated":"2025-06-07T11:35:03Z","snapshot_observed_at":"2026-08-07T05:47:34.160767Z","submitted_at":"2025-06-07T11:35:03Z","title":"Containerized In-Storage Processing and Computing-Enabled SSD Disaggregation","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-07T05:54:40.411536Z"},"links":{"cited_paper":"/paper/2406.12832","citing_paper":"/paper/2506.06769"},"observation_digest":"sha256:6f3b3c42427273abbe3335ac6447c592005d975a1df26724480e495177f4f92e","observation_id":"f88ba871-ef21-4c37-86c0-b13bd9a7692c","resolution":{"observed_at":"2026-08-07T05:54:40.605575Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T05:54:40.415660Z","title":"Gpt-3: Its nature, scope, limits, and consequences","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2506.06769","last_updated":"2025-06-07T11:35:03Z","snapshot_observed_at":"2026-08-07T05:47:34.160767Z","submitted_at":"2025-06-07T11:35:03Z","title":"Containerized In-Storage Processing and Computing-Enabled SSD Disaggregation","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-07T05:54:40.415660Z"},"links":{"citing_paper":"/paper/2506.06769"},"observation_digest":"sha256:13b952de5730f48978d8247aa266f4f02b93c74584afe22d5fd982ce6bf296ab","observation_id":"928a2a25-7759-4d9d-8916-e7810f8518b8","resolution":{"observed_at":"2026-08-07T05:54:40.415660Z","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":"2026-08-07T05:54:40.918154Z","title":"Jurassic-1: Technical details and evalu- ation","venue":null,"work_id":"8cd4eef1-8a2e-4486-858b-55c4ae2d6e31","year":2021},"citing_paper":{"arxiv_id":"2506.06769","last_updated":"2025-06-07T11:35:03Z","snapshot_observed_at":"2026-08-07T05:47:34.160767Z","submitted_at":"2025-06-07T11:35:03Z","title":"Containerized In-Storage Processing and Computing-Enabled SSD Disaggregation","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-07T05:54:40.419290Z"},"links":{"citing_paper":"/paper/2506.06769"},"observation_digest":"sha256:842efb262a1ebb064fca7154caab488f8011ed7b8b57671b069d21811278bb82","observation_id":"6e4273f9-e97e-4814-b067-4bb2b3fa10bc","resolution":{"observed_at":"2026-08-07T05:54:40.921553Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2303.10845","last_updated":"2023-03-20T03:39:27Z","snapshot_observed_at":"2026-08-07T00:30:20.086985Z","submitted_at":"2023-03-20T03:39:27Z","title":"PanGu-{\\Sigma}: Towards Trillion Parameter Language Model with Sparse Heterogeneous Computing","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2303.10845","snapshot_observed_at":"2026-08-07T05:54:40.422651Z","title":"Pangu- {\\Sigma}: Towards trillion parameter language model with sparse heteroge- neous computing","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.06769","last_updated":"2025-06-07T11:35:03Z","snapshot_observed_at":"2026-08-07T05:47:34.160767Z","submitted_at":"2025-06-07T11:35:03Z","title":"Containerized In-Storage Processing and Computing-Enabled SSD Disaggregation","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-07T05:54:40.422651Z"},"links":{"cited_paper":"/paper/2303.10845","citing_paper":"/paper/2506.06769"},"observation_digest":"sha256:ab8d2b15dd61bad9162fd2345ec22a9d5369c383a136682bee822decfebbb1ec","observation_id":"3ed3d23f-fb28-40c6-8035-d1376c321ca4","resolution":{"observed_at":"2026-08-07T05:54:40.422651Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2112.11446","last_updated":"2022-01-21T18:39:38Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2021-12-08T19:41:47Z","title":"Scaling Language Models: Methods, Analysis & Insights from Training Gopher","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2112.11446","snapshot_observed_at":"2026-08-07T05:54:40.426488Z","title":"Scaling language models: Methods, analysis & insights from training gopher","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2506.06769","last_updated":"2025-06-07T11:35:03Z","snapshot_observed_at":"2026-08-07T05:47:34.160767Z","submitted_at":"2025-06-07T11:35:03Z","title":"Containerized In-Storage Processing and Computing-Enabled SSD Disaggregation","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-07T05:54:40.426488Z"},"links":{"cited_paper":"/paper/2112.11446","citing_paper":"/paper/2506.06769"},"observation_digest":"sha256:98565b7a7317a09e1627c2b65f11eb495b8a7931b7d00d4a9d6c26b147ffde5e","observation_id":"c4009556-1487-4b57-9afc-143ec5cc468d","resolution":{"observed_at":"2026-08-07T05:54:40.426488Z","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":"2026-08-07T05:54:40.907444Z","title":"Large language models and the reverse turing test","venue":null,"work_id":"c59ee861-e380-401b-868f-6bc0056c2f8d","year":2023},"citing_paper":{"arxiv_id":"2506.06769","last_updated":"2025-06-07T11:35:03Z","snapshot_observed_at":"2026-08-07T05:47:34.160767Z","submitted_at":"2025-06-07T11:35:03Z","title":"Containerized In-Storage Processing and Computing-Enabled SSD Disaggregation","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-07T05:54:40.430158Z"},"links":{"citing_paper":"/paper/2506.06769"},"observation_digest":"sha256:c3d8c26ea142b556d3c30aaa21ab968b2546aea080e9bb9defbdf0d5a30b1196","observation_id":"611545d3-2dfe-4edf-bd9f-4eed7ef9f1e6","resolution":{"observed_at":"2026-08-07T05:54:40.911445Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T05:54:40.896838Z","title":"Palm: Scaling language modeling with pathways","venue":null,"work_id":"a7afbf32-47f4-43f5-a3ef-4590cfb699e4","year":2023},"citing_paper":{"arxiv_id":"2506.06769","last_updated":"2025-06-07T11:35:03Z","snapshot_observed_at":"2026-08-07T05:47:34.160767Z","submitted_at":"2025-06-07T11:35:03Z","title":"Containerized In-Storage Processing and Computing-Enabled SSD Disaggregation","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-07T05:54:40.433517Z"},"links":{"citing_paper":"/paper/2506.06769"},"observation_digest":"sha256:12c67efdb7a7da2580ba018deda6311cadf894dfa5953e477b97cec2b0d4fb92","observation_id":"b60b4d32-0df3-417f-8418-38be19800a8d","resolution":{"observed_at":"2026-08-07T05:54:40.900546Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T05:54:40.886345Z","title":"Efficient large-scale language model training on gpu clusters using megatron-lm","venue":null,"work_id":"480c8d81-2800-40b9-86f4-2b8695c0c5e3","year":2021},"citing_paper":{"arxiv_id":"2506.06769","last_updated":"2025-06-07T11:35:03Z","snapshot_observed_at":"2026-08-07T05:47:34.160767Z","submitted_at":"2025-06-07T11:35:03Z","title":"Containerized In-Storage Processing and Computing-Enabled SSD Disaggregation","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-07T05:54:40.437498Z"},"links":{"citing_paper":"/paper/2506.06769"},"observation_digest":"sha256:25221f24bce68a91bf4abf3c33b23c1bdbbd11f17704271caf0ba9d31344f4cd","observation_id":"79c1c04e-00dd-45af-8b50-d003d121bdbe","resolution":{"observed_at":"2026-08-07T05:54:40.890161Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T05:54:40.875543Z","title":"OpenExpress: Fully Hardware Automated Open Research Framework for Future Fast NVMe Devices, USENIX ATC’20","venue":null,"work_id":"bda38766-c614-45f9-9429-15816cf5321e","year":null},"citing_paper":{"arxiv_id":"2506.06769","last_updated":"2025-06-07T11:35:03Z","snapshot_observed_at":"2026-08-07T05:47:34.160767Z","submitted_at":"2025-06-07T11:35:03Z","title":"Containerized In-Storage Processing and Computing-Enabled SSD Disaggregation","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-07T05:54:40.440857Z"},"links":{"citing_paper":"/paper/2506.06769"},"observation_digest":"sha256:737e49054ea13e3f8fa29f90438a08c0059b912c352456f3a68ce73f83b859d9","observation_id":"3bb7ba41-a7c1-45a6-b4f5-74f1b66fed79","resolution":{"observed_at":"2026-08-07T05:54:40.879566Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T05:54:40.865404Z","title":"Deployment of in-storage compute","venue":null,"work_id":"1ea334be-830c-4d5a-a7ae-267e1d998c28","year":2018},"citing_paper":{"arxiv_id":"2506.06769","last_updated":"2025-06-07T11:35:03Z","snapshot_observed_at":"2026-08-07T05:47:34.160767Z","submitted_at":"2025-06-07T11:35:03Z","title":"Containerized In-Storage Processing and Computing-Enabled SSD Disaggregation","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-07T05:54:40.444731Z"},"links":{"citing_paper":"/paper/2506.06769"},"observation_digest":"sha256:f3eb757b357865d06ba34e408a1f97f6938c31e106f70d3e142aa9d4148caafe","observation_id":"615d744d-514d-499c-b24f-014152b0c4e4","resolution":{"observed_at":"2026-08-07T05:54:40.868733Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T05:54:40.854789Z","title":"Revis- iting widely held ssd expectations and rethinking system-level implications","venue":null,"work_id":"b373bee7-12c6-4a61-aa1c-a110bab557a3","year":2013},"citing_paper":{"arxiv_id":"2506.06769","last_updated":"2025-06-07T11:35:03Z","snapshot_observed_at":"2026-08-07T05:47:34.160767Z","submitted_at":"2025-06-07T11:35:03Z","title":"Containerized In-Storage Processing and Computing-Enabled SSD Disaggregation","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-07T05:54:40.448628Z"},"links":{"citing_paper":"/paper/2506.06769"},"observation_digest":"sha256:6855898a075ee25b22bee700706cdc6b442776048cbf400f7d0c20b590df1478","observation_id":"d3f3699e-0a97-434a-9e59-c4ec532c34f2","resolution":{"observed_at":"2026-08-07T05:54:40.858533Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T05:54:40.843402Z","title":"Graphssd: graph semantics aware ssd","venue":null,"work_id":"cfab2565-d3f1-4ae7-bdb1-da3c184a06af","year":2019},"citing_paper":{"arxiv_id":"2506.06769","last_updated":"2025-06-07T11:35:03Z","snapshot_observed_at":"2026-08-07T05:47:34.160767Z","submitted_at":"2025-06-07T11:35:03Z","title":"Containerized In-Storage Processing and Computing-Enabled SSD Disaggregation","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-07T05:54:40.452054Z"},"links":{"citing_paper":"/paper/2506.06769"},"observation_digest":"sha256:e5eb8da3432788481e046f33ac5fcea6d440eff585877cd893a9df1c6c00dca1","observation_id":"fd8c38dc-7c2d-4bc6-a021-d1cb540467a1","resolution":{"observed_at":"2026-08-07T05:54:40.847928Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T05:54:40.832725Z","title":"De- coupled ssd: Rethinking ssd architecture through network-based flash controllers","venue":null,"work_id":"eec69635-7fa7-47c8-b3da-c4d099feb6fd","year":2023},"citing_paper":{"arxiv_id":"2506.06769","last_updated":"2025-06-07T11:35:03Z","snapshot_observed_at":"2026-08-07T05:47:34.160767Z","submitted_at":"2025-06-07T11:35:03Z","title":"Containerized In-Storage Processing and Computing-Enabled SSD Disaggregation","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-07T05:54:40.455586Z"},"links":{"citing_paper":"/paper/2506.06769"},"observation_digest":"sha256:80556891564c84cd8e7c96f7f0ffa4aeb1ca4f54a6a1ead09a6afb784afada19","observation_id":"02fe145c-1cd6-425e-9a3c-9ea9cd924687","resolution":{"observed_at":"2026-08-07T05:54:40.836438Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T05:54:40.821662Z","title":"Leaftl: A learning- based flash translation layer for solid-state drives","venue":null,"work_id":"87049f9c-c69d-48ca-868d-5619ce2dbc0b","year":2023},"citing_paper":{"arxiv_id":"2506.06769","last_updated":"2025-06-07T11:35:03Z","snapshot_observed_at":"2026-08-07T05:47:34.160767Z","submitted_at":"2025-06-07T11:35:03Z","title":"Containerized In-Storage Processing and Computing-Enabled SSD Disaggregation","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-07T05:54:40.459136Z"},"links":{"citing_paper":"/paper/2506.06769"},"observation_digest":"sha256:834d47ec1c308b16631054100ac13a81c124ff13ceafb10e10c8a3051062957d","observation_id":"25d81a4f-0138-40b5-a12e-5c00bd105ecc","resolution":{"observed_at":"2026-08-07T05:54:40.825863Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T05:54:40.811086Z","title":"Layerscape 2088A and 2048A Multicore Communications Processors","venue":null,"work_id":"40357792-1f71-415b-bce0-1132c18172bd","year":null},"citing_paper":{"arxiv_id":"2506.06769","last_updated":"2025-06-07T11:35:03Z","snapshot_observed_at":"2026-08-07T05:47:34.160767Z","submitted_at":"2025-06-07T11:35:03Z","title":"Containerized In-Storage Processing and Computing-Enabled SSD Disaggregation","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-07T05:54:40.462713Z"},"links":{"citing_paper":"/paper/2506.06769"},"observation_digest":"sha256:e3b39b8f6f09a20484d0e066097a3e799a78ee75913b591128e5e718d7bafbd2","observation_id":"e308c70e-a668-4d93-bb5d-578916bff874","resolution":{"observed_at":"2026-08-07T05:54:40.814762Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T05:54:40.800584Z","title":"Microsemi PM8609 12 This manuscript is an extended version of the original paper accepted by IEEE Micro","venue":null,"work_id":"e2c739c4-552d-4f4e-b725-138c5ea59242","year":null},"citing_paper":{"arxiv_id":"2506.06769","last_updated":"2025-06-07T11:35:03Z","snapshot_observed_at":"2026-08-07T05:47:34.160767Z","submitted_at":"2025-06-07T11:35:03Z","title":"Containerized In-Storage Processing and Computing-Enabled SSD Disaggregation","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-07T05:54:40.466615Z"},"links":{"citing_paper":"/paper/2506.06769"},"observation_digest":"sha256:22a9573e5a983723362c93f94a9cc3cd947569b15066baf51905a764ec646ee2","observation_id":"e1f1b299-de1f-48bb-b368-0ebcdb04c56d","resolution":{"observed_at":"2026-08-07T05:54:40.804363Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T05:54:40.790228Z","title":"NVM Express","venue":null,"work_id":"e2f85237-f670-4095-9517-319eaadf88b2","year":2025},"citing_paper":{"arxiv_id":"2506.06769","last_updated":"2025-06-07T11:35:03Z","snapshot_observed_at":"2026-08-07T05:47:34.160767Z","submitted_at":"2025-06-07T11:35:03Z","title":"Containerized In-Storage Processing and Computing-Enabled SSD Disaggregation","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-07T05:54:40.470029Z"},"links":{"citing_paper":"/paper/2506.06769"},"observation_digest":"sha256:65ebcf9bfb8b70f73fcb44e0b09abf7f7fe5bbad206919e25b847bb66f959387","observation_id":"834a59ba-709e-4e21-b2e6-49505f4f878a","resolution":{"observed_at":"2026-08-07T05:54:40.793749Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T05:54:40.780949Z","title":"Linux Control Groups v1","venue":null,"work_id":"83c31f69-111e-458c-a9b0-f0147f55aeda","year":null},"citing_paper":{"arxiv_id":"2506.06769","last_updated":"2025-06-07T11:35:03Z","snapshot_observed_at":"2026-08-07T05:47:34.160767Z","submitted_at":"2025-06-07T11:35:03Z","title":"Containerized In-Storage Processing and Computing-Enabled SSD Disaggregation","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-07T05:54:40.473765Z"},"links":{"citing_paper":"/paper/2506.06769"},"observation_digest":"sha256:20e6144a11cece549aeacf520fa1fafcae5d2037821c70d57deeb9af2994a7cb","observation_id":"ac673219-1e96-4f2d-8198-7b2a9fe4018c","resolution":{"observed_at":"2026-08-07T05:54:40.784161Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T05:54:40.771323Z","title":"Linux Namespaces","venue":null,"work_id":"4611abb5-70a0-43d4-ae54-ccffcb7cc453","year":null},"citing_paper":{"arxiv_id":"2506.06769","last_updated":"2025-06-07T11:35:03Z","snapshot_observed_at":"2026-08-07T05:47:34.160767Z","submitted_at":"2025-06-07T11:35:03Z","title":"Containerized In-Storage Processing and Computing-Enabled SSD Disaggregation","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-07T05:54:40.477712Z"},"links":{"citing_paper":"/paper/2506.06769"},"observation_digest":"sha256:143c03410e15424637067ef84e21a8a851b71dfa7619a2f7902972cc237b2a7f","observation_id":"1b73634b-4779-40c2-bb1e-4c250b754620","resolution":{"observed_at":"2026-08-07T05:54:40.774633Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T05:54:40.757921Z","title":"Docker: Lightweight Linux Contain- ers for Consistent Development and Deployment","venue":null,"work_id":"874eb6b8-368b-4328-855b-3af516ace234","year":2014},"citing_paper":{"arxiv_id":"2506.06769","last_updated":"2025-06-07T11:35:03Z","snapshot_observed_at":"2026-08-07T05:47:34.160767Z","submitted_at":"2025-06-07T11:35:03Z","title":"Containerized In-Storage Processing and Computing-Enabled SSD Disaggregation","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-07T05:54:40.481226Z"},"links":{"citing_paper":"/paper/2506.06769"},"observation_digest":"sha256:2e61345f2d697d2de8917277a0ca6943b199ede06a7ef3538b891a57a3beee99","observation_id":"813e5c6e-619a-4a57-b10b-151e3d8ca65c","resolution":{"observed_at":"2026-08-07T05:54:40.763385Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T05:54:40.747871Z","title":null,"venue":null,"work_id":"26ad9afa-38d5-4b4b-a580-e5fa96a3e655","year":null},"citing_paper":{"arxiv_id":"2506.06769","last_updated":"2025-06-07T11:35:03Z","snapshot_observed_at":"2026-08-07T05:47:34.160767Z","submitted_at":"2025-06-07T11:35:03Z","title":"Containerized In-Storage Processing and Computing-Enabled SSD Disaggregation","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-07T05:54:40.484679Z"},"links":{"citing_paper":"/paper/2506.06769"},"observation_digest":"sha256:9afb615b1431874b7432e65a1cfb90a0a0571d52709941b9f9e92a83d51fb134","observation_id":"2dbcd35a-1ec9-440e-9f7d-8796705d11a2","resolution":{"observed_at":"2026-08-07T05:54:40.751410Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T05:54:40.737949Z","title":"Docker Compose","venue":null,"work_id":"0d65c526-877e-4cb0-993d-1314abc8e7d2","year":null},"citing_paper":{"arxiv_id":"2506.06769","last_updated":"2025-06-07T11:35:03Z","snapshot_observed_at":"2026-08-07T05:47:34.160767Z","submitted_at":"2025-06-07T11:35:03Z","title":"Containerized In-Storage Processing and Computing-Enabled SSD Disaggregation","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-07T05:54:40.488269Z"},"links":{"citing_paper":"/paper/2506.06769"},"observation_digest":"sha256:e10cbded571ca27f7984f2795d67105ab5d26deac4d523e74d66a321a6b0c9b7","observation_id":"2be29f2a-3da2-452a-b4e2-695192863175","resolution":{"observed_at":"2026-08-07T05:54:40.741357Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T05:54:40.727452Z","title":"Kuber- netes","venue":null,"work_id":"a627718a-fb29-498b-9e8e-57071aa46b2a","year":null},"citing_paper":{"arxiv_id":"2506.06769","last_updated":"2025-06-07T11:35:03Z","snapshot_observed_at":"2026-08-07T05:47:34.160767Z","submitted_at":"2025-06-07T11:35:03Z","title":"Containerized In-Storage Processing and Computing-Enabled SSD Disaggregation","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-07T05:54:40.491537Z"},"links":{"citing_paper":"/paper/2506.06769"},"observation_digest":"sha256:08290eccc846389e22aaffdf5511b1a889d38f02b12eafc20e7537444f78a47d","observation_id":"e7b7dbf2-4e55-478d-8e47-c567bb10e285","resolution":{"observed_at":"2026-08-07T05:54:40.731082Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T05:54:40.716587Z","title":"Xilinx Virtex UltraScale+","venue":null,"work_id":"a5763ea7-edc2-48d8-9143-330fe161c89d","year":null},"citing_paper":{"arxiv_id":"2506.06769","last_updated":"2025-06-07T11:35:03Z","snapshot_observed_at":"2026-08-07T05:47:34.160767Z","submitted_at":"2025-06-07T11:35:03Z","title":"Containerized In-Storage Processing and Computing-Enabled SSD Disaggregation","version":1},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-07T05:54:40.495139Z"},"links":{"citing_paper":"/paper/2506.06769"},"observation_digest":"sha256:7b3374b70a4d2518d6e3a5f34f3e2eaa5a538bb8b3a7b44033d13a8140e1a6cb","observation_id":"9324d863-7795-4733-a5e1-4c9cbf81cf5f","resolution":{"observed_at":"2026-08-07T05:54:40.720192Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T05:54:40.705205Z","title":"Sim- pleSSD: Modeling Solid State Drives for Holistic System Simulation","venue":null,"work_id":"564fcb10-42e4-4303-8ee5-2bb11581572e","year":2017},"citing_paper":{"arxiv_id":"2506.06769","last_updated":"2025-06-07T11:35:03Z","snapshot_observed_at":"2026-08-07T05:47:34.160767Z","submitted_at":"2025-06-07T11:35:03Z","title":"Containerized In-Storage Processing and Computing-Enabled SSD Disaggregation","version":1},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-07T05:54:40.498714Z"},"links":{"citing_paper":"/paper/2506.06769"},"observation_digest":"sha256:4df0a718b7e221053136b897139dacdfbdfde45b320741d9a98b5fd30c7402b7","observation_id":"b280cd1e-2fa6-4aa5-8dc6-7f431d0e731e","resolution":{"observed_at":"2026-08-07T05:54:40.709008Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T05:54:40.694812Z","title":"Reinhardt, Ali Saidi, Arkaprava Basu, Joel Hestness, Derek R","venue":null,"work_id":"4559328b-388d-4441-9a64-983a553a7421","year":2011},"citing_paper":{"arxiv_id":"2506.06769","last_updated":"2025-06-07T11:35:03Z","snapshot_observed_at":"2026-08-07T05:47:34.160767Z","submitted_at":"2025-06-07T11:35:03Z","title":"Containerized In-Storage Processing and Computing-Enabled SSD Disaggregation","version":1},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-07T05:54:40.502498Z"},"links":{"citing_paper":"/paper/2506.06769"},"observation_digest":"sha256:eb6ea760ce93474b611b31adaa7e23c3898f6bdfb2c8d7ef2124f0d781541370","observation_id":"563e9fe7-ad27-46b6-8d04-54747b7d9c58","resolution":{"observed_at":"2026-08-07T05:54:40.698487Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1906.00091","last_updated":"2019-05-31T21:51:16Z","snapshot_observed_at":"2026-08-02T13:53:54.252223Z","submitted_at":"2019-05-31T21:51:16Z","title":"Deep Learning Recommendation Model for Personalization and Recommendation Systems","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1906.00091","snapshot_observed_at":"2026-08-07T05:54:40.506199Z","title":"Deep learning recommendation model for per- sonalization and recommendation systems","venue":null,"work_id":null,"year":1906},"citing_paper":{"arxiv_id":"2506.06769","last_updated":"2025-06-07T11:35:03Z","snapshot_observed_at":"2026-08-07T05:47:34.160767Z","submitted_at":"2025-06-07T11:35:03Z","title":"Containerized In-Storage Processing and Computing-Enabled SSD Disaggregation","version":1},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-07T05:54:40.506199Z"},"links":{"cited_paper":"/paper/1906.00091","citing_paper":"/paper/2506.06769"},"observation_digest":"sha256:5d3e22a007cad114dda3b9e3fef4c008ac6667928c8276514ae0e7370b639aeb","observation_id":"1c71bfb1-2eef-4cca-9dec-a8feaaf0d6ca","resolution":{"observed_at":"2026-08-07T05:54:40.506199Z","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":"2026-08-07T05:54:40.683838Z","title":null,"venue":null,"work_id":"f2acf22e-7f04-44da-bcc2-0c45d1046238","year":null},"citing_paper":{"arxiv_id":"2506.06769","last_updated":"2025-06-07T11:35:03Z","snapshot_observed_at":"2026-08-07T05:47:34.160767Z","submitted_at":"2025-06-07T11:35:03Z","title":"Containerized In-Storage Processing and Computing-Enabled SSD Disaggregation","version":1},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-08-07T05:54:40.509869Z"},"links":{"citing_paper":"/paper/2506.06769"},"observation_digest":"sha256:4bd142d66b1e63b90dfc5486178b300be2ff07566e61b7eb3faf1dd80f537b82","observation_id":"076a468c-01b2-458f-9bb0-43f4f3f16f5d","resolution":{"observed_at":"2026-08-07T05:54:40.687774Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T05:54:40.672204Z","title":null,"venue":null,"work_id":"aa8053d1-9380-4a01-97e0-8f568a750594","year":null},"citing_paper":{"arxiv_id":"2506.06769","last_updated":"2025-06-07T11:35:03Z","snapshot_observed_at":"2026-08-07T05:47:34.160767Z","submitted_at":"2025-06-07T11:35:03Z","title":"Containerized In-Storage Processing and Computing-Enabled SSD Disaggregation","version":1},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-08-07T05:54:40.513232Z"},"links":{"citing_paper":"/paper/2506.06769"},"observation_digest":"sha256:ea62214435900c040b7772052c97802e7136653a5ec1a3552b262149227de1b9","observation_id":"d0788aa4-4e87-4181-a675-88e4242f677f","resolution":{"observed_at":"2026-08-07T05:54:40.676339Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T05:54:40.660793Z","title":"GNU grep","venue":null,"work_id":"0e1a4a0a-c453-45b7-9834-cd39abdc773b","year":null},"citing_paper":{"arxiv_id":"2506.06769","last_updated":"2025-06-07T11:35:03Z","snapshot_observed_at":"2026-08-07T05:47:34.160767Z","submitted_at":"2025-06-07T11:35:03Z","title":"Containerized In-Storage Processing and Computing-Enabled SSD Disaggregation","version":1},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-08-07T05:54:40.516800Z"},"links":{"citing_paper":"/paper/2506.06769"},"observation_digest":"sha256:828cd08137eda27f27e4427a35f5e8982e589c508784eaefb8745ce97f85804d","observation_id":"9c42f9ed-ad07-4c2e-b6d3-257d1d0a9785","resolution":{"observed_at":"2026-08-07T05:54:40.664384Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T05:54:40.648820Z","title":"GNU coreutils","venue":null,"work_id":"f355f21e-a758-48c4-a894-fda012020d61","year":null},"citing_paper":{"arxiv_id":"2506.06769","last_updated":"2025-06-07T11:35:03Z","snapshot_observed_at":"2026-08-07T05:47:34.160767Z","submitted_at":"2025-06-07T11:35:03Z","title":"Containerized In-Storage Processing and Computing-Enabled SSD Disaggregation","version":1},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-08-07T05:54:40.520362Z"},"links":{"citing_paper":"/paper/2506.06769"},"observation_digest":"sha256:a47119d31b1795249b3b5ae84930e1657c1abcfc4a20990a5cb937a829012e1e","observation_id":"fa18a4fd-4614-47dd-9d99-acadb64f40e5","resolution":{"observed_at":"2026-08-07T05:54:40.652734Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T05:54:40.637553Z","title":null,"venue":null,"work_id":"81387db8-9585-4354-948e-5dfb079ee7b2","year":null},"citing_paper":{"arxiv_id":"2506.06769","last_updated":"2025-06-07T11:35:03Z","snapshot_observed_at":"2026-08-07T05:47:34.160767Z","submitted_at":"2025-06-07T11:35:03Z","title":"Containerized In-Storage Processing and Computing-Enabled SSD Disaggregation","version":1},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-08-07T05:54:40.525153Z"},"links":{"citing_paper":"/paper/2506.06769"},"observation_digest":"sha256:0ce54bb6f1b918340471427aea30634faee18d3d269a8ec4f7972de8a827cf28","observation_id":"953b5b67-a1b6-49f8-8080-300db67ebc7e","resolution":{"observed_at":"2026-08-07T05:54:40.641173Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T05:54:40.626021Z","title":null,"venue":null,"work_id":"05777643-9944-484f-8758-24f742f8da1e","year":null},"citing_paper":{"arxiv_id":"2506.06769","last_updated":"2025-06-07T11:35:03Z","snapshot_observed_at":"2026-08-07T05:47:34.160767Z","submitted_at":"2025-06-07T11:35:03Z","title":"Containerized In-Storage Processing and Computing-Enabled SSD Disaggregation","version":1},"reference_index":53,"source":"pdf_text","source_observed_at":"2026-08-07T05:54:40.528817Z"},"links":{"citing_paper":"/paper/2506.06769"},"observation_digest":"sha256:05be720c5faa7f603d2b75dfae18f6453b30d7c7d33b53c7bc3c2fc7daffc279","observation_id":"d69105c3-50c6-455b-912a-f95da8749383","resolution":{"observed_at":"2026-08-07T05:54:40.629745Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T05:54:40.614278Z","title":"Calculon: a methodology and tool for high-level co-design of systems and large language models, SC’23","venue":null,"work_id":"35f183aa-5831-4a58-9e7b-f76151e14485","year":null},"citing_paper":{"arxiv_id":"2506.06769","last_updated":"2025-06-07T11:35:03Z","snapshot_observed_at":"2026-08-07T05:47:34.160767Z","submitted_at":"2025-06-07T11:35:03Z","title":"Containerized In-Storage Processing and Computing-Enabled SSD Disaggregation","version":1},"reference_index":54,"source":"pdf_text","source_observed_at":"2026-08-07T05:54:40.532462Z"},"links":{"citing_paper":"/paper/2506.06769"},"observation_digest":"sha256:42e88a52735f66f02deff7ffc1a53a910555c25a424131a732e067761f1fcd8b","observation_id":"ccc9f80b-debc-45ad-afc2-2bef6caad78d","resolution":{"observed_at":"2026-08-07T05:54:40.618318Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2506.06769","last_updated":"2025-06-07T11:35:03Z","latest_version":1,"primary_category":"cs.AR","snapshot_observed_at":"2026-08-07T05:47:34.160767Z","submitted_at":"2025-06-07T11:35:03Z","title":"Containerized In-Storage Processing and Computing-Enabled SSD Disaggregation"},"reference_resolution":{"displayed":54,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":9,"verified_exact":1,"verified_fuzzy":44},"total_outbound_references":54},"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":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"thesis":"As of 8 August 2026, this Paper Citation Record lists 54 of 54 outbound references and 0 inbound Pith citation observations for arXiv:2506.06769."}