{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2018:NZ3DQPZLL3W67ZN3FFZJIZJVZ5","merge_version":"pith-open-graph-merge-v1","event_count":2,"valid_event_count":2,"invalid_event_count":0,"equivocation_count":0,"current":{"canonical_record":{"metadata":{"abstract_canon_sha256":"b2bc7b1f0c4e815d19a29e42015f47cfffd97c0948183b533a21d3a19962a09f","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2018-10-02T05:08:12Z","title_canon_sha256":"e63745eed40a89319edb0c053ce0855e61a09df12cfeb64601bc60da619fe8d5"},"schema_version":"1.0","source":{"id":"1810.01069","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1810.01069","created_at":"2026-07-05T01:49:45Z"},{"alias_kind":"arxiv_version","alias_value":"1810.01069v2","created_at":"2026-07-05T01:49:45Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1810.01069","created_at":"2026-07-05T01:49:45Z"},{"alias_kind":"pith_short_12","alias_value":"NZ3DQPZLL3W6","created_at":"2026-07-05T01:49:45Z"},{"alias_kind":"pith_short_16","alias_value":"NZ3DQPZLL3W67ZN3","created_at":"2026-07-05T01:49:45Z"},{"alias_kind":"pith_short_8","alias_value":"NZ3DQPZL","created_at":"2026-07-05T01:49:45Z"}],"graph_snapshots":[{"event_id":"sha256:eb8e3a84767b27955347a43a7e38dcec5fd1c9f2c99bca1cc12d119712ec91cc","target":"graph","created_at":"2026-07-05T01:49:45Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"graph_snapshot":{"author_claims":{"count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","strong_count":0},"builder_version":"pith-number-builder-2026-05-17-v1","claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"integrity":{"available":true,"clean":true,"detectors_run":[],"endpoint":"/pith/1810.01069/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Internet of Things(IoT) devices, mobile phones, and robotic systems are often denied the power of deep learning algorithms due to their limited computing power. However, to provide time-critical services such as emergency response, home assistance, surveillance, etc, these devices often need real-time analysis of their camera data. This paper strives to offer a viable approach to integrate high-performance deep learning-based computer vision algorithms with low-resource and low-power devices by leveraging the computing power of the cloud. By offloading the computation work to the cloud, no ded","authors_text":"Austin Small, Liam Dugan, Stephen Lane, Zhengyi Luo","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2018-10-02T05:08:12Z","title":"Cloud Chaser: Real Time Deep Learning Computer Vision on Low Computing Power Devices"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1810.01069","kind":"arxiv","version":2},"verdict":{"created_at":null,"id":null,"model_set":{},"one_line_summary":"","pipeline_version":null,"pith_extraction_headline":"","strongest_claim":"","weakest_assumption":""}},"verdict_id":null}}],"author_attestations":[],"timestamp_anchors":[],"storage_attestations":[],"citation_signatures":[],"replication_records":[],"corrections":[],"mirror_hints":[],"record_created":{"event_id":"sha256:1096a4a98e9626644bd9895e5eef0d8e17ab1c164b21d7001bf57accff0d33b1","target":"record","created_at":"2026-07-05T01:49:45Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"attestation_state":"computed","canonical_record":{"metadata":{"abstract_canon_sha256":"b2bc7b1f0c4e815d19a29e42015f47cfffd97c0948183b533a21d3a19962a09f","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2018-10-02T05:08:12Z","title_canon_sha256":"e63745eed40a89319edb0c053ce0855e61a09df12cfeb64601bc60da619fe8d5"},"schema_version":"1.0","source":{"id":"1810.01069","kind":"arxiv","version":2}},"canonical_sha256":"6e76383f2b5eedefe5bb2972946535cf5422be48c290292c43b7411bba3d3aa4","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"6e76383f2b5eedefe5bb2972946535cf5422be48c290292c43b7411bba3d3aa4","first_computed_at":"2026-07-05T01:49:45.721401Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T01:49:45.721401Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"ndjZGHdt7Enjk4fo4lRFkbcgY+cj0lUEO54xw0mJ40fY8rdUwfmYLNYYrvl3xVuOUm2E82j9nQ64ldIDkttCDg==","signature_status":"signed_v1","signed_at":"2026-07-05T01:49:45.721868Z","signed_message":"canonical_sha256_bytes"},"source_id":"1810.01069","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:1096a4a98e9626644bd9895e5eef0d8e17ab1c164b21d7001bf57accff0d33b1","sha256:eb8e3a84767b27955347a43a7e38dcec5fd1c9f2c99bca1cc12d119712ec91cc"],"state_sha256":"04852deb7a4acbd6619e17af204bd819054b131dd0047bbff857f43fa84bb79c"}