{"as_of":"2026-08-09T11:15:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:2b6f334040a5cca3650aba97ad7ecd18dd27536b169436391b6759d7998942c2","coverage":[{"denominator":0,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":7,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":7,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-09T06:31:02.800959+00:00","state":"measured"},{"denominator":7,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":7,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-06T17:12:55.314290Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":1,"source":"pith","source_observed_at":"2026-08-05T02:28:24.338817Z","state":"measured"}],"external_citation_measurements":[{"count":257,"observed_at":"2026-08-05T02:28:24.338817Z","source":"pith"}],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2007.10319","last_updated":"2020-11-19T17:29:28Z","snapshot_observed_at":"2026-07-06T09:40:19.270377Z","submitted_at":"2020-07-20T17:59:01Z","title":"MCUNet: Tiny Deep Learning on IoT Devices","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2007.10319","snapshot_observed_at":"2026-08-06T17:12:55.314290Z","title":"MCUNet: Tiny deep learning on IoT devices,","venue":null,"work_id":null,"year":2007},"citing_paper":{"arxiv_id":"2507.11435","last_updated":"2025-07-15T15:57:28Z","snapshot_observed_at":"2026-08-09T03:27:58.651964Z","submitted_at":"2025-07-15T15:57:28Z","title":"FasTUSS: Faster Task-Aware Unified Source Separation","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-06T17:12:55.314290Z"},"links":{"cited_paper":"/paper/2007.10319","citing_paper":"/paper/2507.11435"},"observation_digest":"sha256:5a217f3e90b86f6e12e4e0adffb7b071e6b953a1a31643ae2d620d280dab7559","observation_id":"499f1864-d289-4fa0-8079-9e73e8de62e8","resolution":{"observed_at":"2026-08-06T17:12:55.314290Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2007.10319","last_updated":"2020-11-19T17:29:28Z","snapshot_observed_at":"2026-07-06T09:40:19.270377Z","submitted_at":"2020-07-20T17:59:01Z","title":"MCUNet: Tiny Deep Learning on IoT Devices","version":2},"cited_work":{"arxiv_id":"2007.10319","doi":"10.48550/arxiv.2007.10319","metadata_source":"pith","pith_arxiv_id":"2007.10319","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"MCUNet: Tiny Deep Learning on IoT Devices , publisher =","venue":"cs.CV","work_id":"a5183d30-5bd0-4b8f-aa82-fb177b7481de","year":2020},"citing_paper":{"arxiv_id":"2604.17476","last_updated":"2026-04-19T15:07:01Z","snapshot_observed_at":"2026-07-06T23:04:32.734175Z","submitted_at":"2026-04-19T15:07:01Z","title":"Privatar: Scalable Privacy-preserving Multi-user VR via Secure Offloading","version":1},"reference_index":124,"source":"arxiv_source","source_observed_at":"2026-05-10T06:20:18.479234Z"},"links":{"cited_paper":"/paper/2007.10319","citing_paper":"/paper/2604.17476"},"observation_digest":"sha256:7a63c467421741930751a3c6e9e52bdb2c825f23130bdee78d4980975f345335","observation_id":"b94b617e-bb5b-41ec-b6f4-740c08960834","resolution":{"observed_at":"2026-05-10T06:21:26.234888Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2007.10319","last_updated":"2020-11-19T17:29:28Z","snapshot_observed_at":"2026-07-06T09:40:19.270377Z","submitted_at":"2020-07-20T17:59:01Z","title":"MCUNet: Tiny Deep Learning on IoT Devices","version":2},"cited_work":{"arxiv_id":"2007.10319","doi":"10.48550/arxiv.2007.10319","metadata_source":"pith","pith_arxiv_id":"2007.10319","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"MCUNet: Tiny Deep Learning on IoT Devices , publisher =","venue":"cs.CV","work_id":"a5183d30-5bd0-4b8f-aa82-fb177b7481de","year":2020},"citing_paper":{"arxiv_id":"2606.02894","last_updated":"2026-06-03T10:50:50Z","snapshot_observed_at":"2026-08-01T14:35:59.320531Z","submitted_at":"2026-06-01T21:10:08Z","title":"Tiny Collaborative Inference for Occlusion-Robust Object Detection","version":2},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-06-28T14:57:14.951498Z"},"links":{"cited_paper":"/paper/2007.10319","citing_paper":"/paper/2606.02894"},"observation_digest":"sha256:d5b87318793b047f151e1924523927a3a9232715f3eeeb63d76184206cdd4477","observation_id":"af86507d-a858-485c-8b3d-c99e69980fa9","resolution":{"observed_at":"2026-07-01T22:56:19.676971Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2007.10319","last_updated":"2020-11-19T17:29:28Z","snapshot_observed_at":"2026-07-06T09:40:19.270377Z","submitted_at":"2020-07-20T17:59:01Z","title":"MCUNet: Tiny Deep Learning on IoT Devices","version":2},"cited_work":{"arxiv_id":"2007.10319","doi":"10.48550/arxiv.2007.10319","metadata_source":"pith","pith_arxiv_id":"2007.10319","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"MCUNet: Tiny Deep Learning on IoT Devices , publisher =","venue":"cs.CV","work_id":"a5183d30-5bd0-4b8f-aa82-fb177b7481de","year":2020},"citing_paper":{"arxiv_id":"2606.07431","last_updated":"2026-06-08T14:50:28Z","snapshot_observed_at":"2026-08-02T03:22:26.305321Z","submitted_at":"2026-06-05T16:27:02Z","title":"OpenGlass: Ultra-Low-Power On-Device AI Eyewear with Event-based Vision","version":2},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-06-27T22:03:18.602151Z"},"links":{"cited_paper":"/paper/2007.10319","citing_paper":"/paper/2606.07431"},"observation_digest":"sha256:54a826b73103771d84fa297b9e82ec4256fd851aa4b37fcd1f933b8f26a5b919","observation_id":"1479ddb4-e641-404a-a5a1-50de6afae1cb","resolution":{"observed_at":"2026-07-02T17:27:15.061131Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2007.10319","last_updated":"2020-11-19T17:29:28Z","snapshot_observed_at":"2026-07-06T09:40:19.270377Z","submitted_at":"2020-07-20T17:59:01Z","title":"MCUNet: Tiny Deep Learning on IoT Devices","version":2},"cited_work":{"arxiv_id":"2007.10319","doi":"10.48550/arxiv.2007.10319","metadata_source":"pith","pith_arxiv_id":"2007.10319","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"MCUNet: Tiny Deep Learning on IoT Devices , publisher =","venue":"cs.CV","work_id":"a5183d30-5bd0-4b8f-aa82-fb177b7481de","year":2020},"citing_paper":{"arxiv_id":"2607.06600","last_updated":"2026-07-07T00:04:50Z","snapshot_observed_at":"2026-08-06T09:24:15.964859Z","submitted_at":"2026-07-07T00:04:50Z","title":"MiLSD: A Micro Line-Segment Detector for Resource-Constrained Devices","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-07-11T03:22:55.438074Z"},"links":{"cited_paper":"/paper/2007.10319","citing_paper":"/paper/2607.06600"},"observation_digest":"sha256:75d8b8782bb7704032eb3b82cfdc8e670dd92b9094a04c8b8e8356e35e21f0be","observation_id":"446ed4f7-0392-4cef-a0c9-a09de5b1e3bf","resolution":{"observed_at":"2026-07-11T03:27:46.060189Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2007.10319","last_updated":"2020-11-19T17:29:28Z","snapshot_observed_at":"2026-07-06T09:40:19.270377Z","submitted_at":"2020-07-20T17:59:01Z","title":"MCUNet: Tiny Deep Learning on IoT Devices","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2007.10319","snapshot_observed_at":"2026-08-01T22:30:23.079301Z","title":"Mcunet: Tiny deep learning on iot devices,","venue":null,"work_id":null,"year":2007},"citing_paper":{"arxiv_id":"2607.15753","last_updated":"2026-07-17T08:41:21Z","snapshot_observed_at":"2026-08-05T09:51:27.631927Z","submitted_at":"2026-07-17T08:41:21Z","title":"CoG-Guided Weight Correction for Fault-Tolerant Deep Neural Networks","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-01T22:30:23.079301Z"},"links":{"cited_paper":"/paper/2007.10319","citing_paper":"/paper/2607.15753"},"observation_digest":"sha256:78841203460a8dab2559750794dc05fd330de8f97707430e349251576169da39","observation_id":"80657536-d947-42b8-8bd7-e10e4217119d","resolution":{"observed_at":"2026-08-01T22:30:23.079301Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2007.10319","last_updated":"2020-11-19T17:29:28Z","snapshot_observed_at":"2026-07-06T09:40:19.270377Z","submitted_at":"2020-07-20T17:59:01Z","title":"MCUNet: Tiny Deep Learning on IoT Devices","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2007.10319","snapshot_observed_at":"2026-07-31T18:28:55.390298Z","title":"doi:10.48550/arXiv.2007.10319, arXiv:2007.10319","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2607.24313","last_updated":"2026-07-27T11:57:55Z","snapshot_observed_at":"2026-08-07T02:25:03.860012Z","submitted_at":"2026-07-27T11:57:55Z","title":"Energy Constrained Hierarchical Underwater Monitoring via Local Multi-Agent RAG","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-07-31T18:28:55.390298Z"},"links":{"cited_paper":"/paper/2007.10319","citing_paper":"/paper/2607.24313"},"observation_digest":"sha256:bf70825914530ff70ae20b6eca6c2f870b2ba9a054c97cbd0f3338d738f64655","observation_id":"c0c806e7-2855-429b-bab1-8190059c9081","resolution":{"observed_at":"2026-07-31T18:28:55.390298Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2007.10319/citation-record","integrity":"/paper/2007.10319/integrity","json":"/paper/2007.10319/citation-record.json","paper":"/paper/2007.10319"},"outbound":[],"paper":{"arxiv_id":"2007.10319","last_updated":"2020-11-19T17:29:28Z","latest_version":2,"primary_category":"cs.CV","snapshot_observed_at":"2026-07-06T09:40:19.270377Z","submitted_at":"2020-07-20T17:59:01Z","title":"MCUNet: Tiny Deep Learning on IoT Devices"},"reference_resolution":{"displayed":0,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":0,"verified_exact":0,"verified_fuzzy":0},"total_outbound_references":0},"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":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"thesis":"As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2007.10319."}