{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2018:WEAIH5AXDA6T63X5BADO2DUTJ5","short_pith_number":"pith:WEAIH5AX","canonical_record":{"source":{"id":"1811.07493","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2018-11-19T04:31:29Z","cross_cats_sorted":[],"title_canon_sha256":"d785638b45c21c6392cd7cb350a824b0ef3dc2280afcd8f3e7ade1e97ae5f213","abstract_canon_sha256":"2632926cbfa775fa3e24ad446cbc10ef00ce64e42682d11aba4172e04dd84cfd"},"schema_version":"1.0"},"canonical_sha256":"b10083f417183d3f6efd0806ed0e934f7296f749fc8360a1ba13ffd6b3c40a0e","source":{"kind":"arxiv","id":"1811.07493","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1811.07493","created_at":"2026-05-18T00:00:24Z"},{"alias_kind":"arxiv_version","alias_value":"1811.07493v1","created_at":"2026-05-18T00:00:24Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1811.07493","created_at":"2026-05-18T00:00:24Z"},{"alias_kind":"pith_short_12","alias_value":"WEAIH5AXDA6T","created_at":"2026-05-18T12:32:59Z"},{"alias_kind":"pith_short_16","alias_value":"WEAIH5AXDA6T63X5","created_at":"2026-05-18T12:32:59Z"},{"alias_kind":"pith_short_8","alias_value":"WEAIH5AX","created_at":"2026-05-18T12:32:59Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2018:WEAIH5AXDA6T63X5BADO2DUTJ5","target":"record","payload":{"canonical_record":{"source":{"id":"1811.07493","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2018-11-19T04:31:29Z","cross_cats_sorted":[],"title_canon_sha256":"d785638b45c21c6392cd7cb350a824b0ef3dc2280afcd8f3e7ade1e97ae5f213","abstract_canon_sha256":"2632926cbfa775fa3e24ad446cbc10ef00ce64e42682d11aba4172e04dd84cfd"},"schema_version":"1.0"},"canonical_sha256":"b10083f417183d3f6efd0806ed0e934f7296f749fc8360a1ba13ffd6b3c40a0e","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:00:24.328206Z","signature_b64":"TWgNUahxDEgxupMF8RRmRZ2AYNt1QuQ/lxRuv5rDVUGRqowmh4wVcgVrPgXeEVNQPNpe0e7n6knFl/RjGqd8CQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"b10083f417183d3f6efd0806ed0e934f7296f749fc8360a1ba13ffd6b3c40a0e","last_reissued_at":"2026-05-18T00:00:24.327593Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:00:24.327593Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1811.07493","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-18T00:00:24Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"GTxh6M6vMF6iO+EKcRGLPN+DIGBMdZ+OdpYX2cxSQ1BUEuHykR9OipJDYZGpd3zh0v6drxRiN9H0lC3df1QuCg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-06T07:13:58.476181Z"},"content_sha256":"5678fed3868a80da8c6adb24f5e321eb2d5be18a2fb4af3dc864b30924ffba5a","schema_version":"1.0","event_id":"sha256:5678fed3868a80da8c6adb24f5e321eb2d5be18a2fb4af3dc864b30924ffba5a"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2018:WEAIH5AXDA6T63X5BADO2DUTJ5","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"FotonNet: A HW-Efficient Object Detection System Using 3D-Depth Segmentation and 2D-DNN Classifier","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Gurjeet Singh, Patrick Chiang, Shi Shi, Sun Miao","submitted_at":"2018-11-19T04:31:29Z","abstract_excerpt":"Object detection and classification is one of the most important computer vision problems. Ever since the introduction of deep learning \\cite{krizhevsky2012imagenet}, we have witnessed a dramatic increase in the accuracy of this object detection problem. However, most of these improvements have occurred using conventional 2D image processing. Recently, low-cost 3D-image sensors, such as the Microsoft Kinect (Time-of-Flight) or the Apple FaceID (Structured-Light), can provide 3D-depth or point cloud data that can be added to a convolutional neural network, acting as an extra set of dimensions. "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1811.07493","kind":"arxiv","version":1},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-18T00:00:24Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"QRZngU4NPF4JZAliW4Gr0iSVrApOei3WO0FRqBWFY+rq3y7peGbSj5t5nmIUmWJ/vHPFd+WjTdTsjh7HMbmRCA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-06T07:13:58.476549Z"},"content_sha256":"9622dff947be25a5a8771e4287b0e863cc0d67bfec056ef06607335a48dad32f","schema_version":"1.0","event_id":"sha256:9622dff947be25a5a8771e4287b0e863cc0d67bfec056ef06607335a48dad32f"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/WEAIH5AXDA6T63X5BADO2DUTJ5/bundle.json","state_url":"https://pith.science/pith/WEAIH5AXDA6T63X5BADO2DUTJ5/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/WEAIH5AXDA6T63X5BADO2DUTJ5/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-07-06T07:13:58Z","links":{"resolver":"https://pith.science/pith/WEAIH5AXDA6T63X5BADO2DUTJ5","bundle":"https://pith.science/pith/WEAIH5AXDA6T63X5BADO2DUTJ5/bundle.json","state":"https://pith.science/pith/WEAIH5AXDA6T63X5BADO2DUTJ5/state.json","well_known_bundle":"https://pith.science/.well-known/pith/WEAIH5AXDA6T63X5BADO2DUTJ5/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2018:WEAIH5AXDA6T63X5BADO2DUTJ5","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":"2632926cbfa775fa3e24ad446cbc10ef00ce64e42682d11aba4172e04dd84cfd","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2018-11-19T04:31:29Z","title_canon_sha256":"d785638b45c21c6392cd7cb350a824b0ef3dc2280afcd8f3e7ade1e97ae5f213"},"schema_version":"1.0","source":{"id":"1811.07493","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1811.07493","created_at":"2026-05-18T00:00:24Z"},{"alias_kind":"arxiv_version","alias_value":"1811.07493v1","created_at":"2026-05-18T00:00:24Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1811.07493","created_at":"2026-05-18T00:00:24Z"},{"alias_kind":"pith_short_12","alias_value":"WEAIH5AXDA6T","created_at":"2026-05-18T12:32:59Z"},{"alias_kind":"pith_short_16","alias_value":"WEAIH5AXDA6T63X5","created_at":"2026-05-18T12:32:59Z"},{"alias_kind":"pith_short_8","alias_value":"WEAIH5AX","created_at":"2026-05-18T12:32:59Z"}],"graph_snapshots":[{"event_id":"sha256:9622dff947be25a5a8771e4287b0e863cc0d67bfec056ef06607335a48dad32f","target":"graph","created_at":"2026-05-18T00:00:24Z","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"},"paper":{"abstract_excerpt":"Object detection and classification is one of the most important computer vision problems. Ever since the introduction of deep learning \\cite{krizhevsky2012imagenet}, we have witnessed a dramatic increase in the accuracy of this object detection problem. However, most of these improvements have occurred using conventional 2D image processing. Recently, low-cost 3D-image sensors, such as the Microsoft Kinect (Time-of-Flight) or the Apple FaceID (Structured-Light), can provide 3D-depth or point cloud data that can be added to a convolutional neural network, acting as an extra set of dimensions. ","authors_text":"Gurjeet Singh, Patrick Chiang, Shi Shi, Sun Miao","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2018-11-19T04:31:29Z","title":"FotonNet: A HW-Efficient Object Detection System Using 3D-Depth Segmentation and 2D-DNN Classifier"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1811.07493","kind":"arxiv","version":1},"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":"sha256:5678fed3868a80da8c6adb24f5e321eb2d5be18a2fb4af3dc864b30924ffba5a","target":"record","created_at":"2026-05-18T00:00:24Z","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":"2632926cbfa775fa3e24ad446cbc10ef00ce64e42682d11aba4172e04dd84cfd","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2018-11-19T04:31:29Z","title_canon_sha256":"d785638b45c21c6392cd7cb350a824b0ef3dc2280afcd8f3e7ade1e97ae5f213"},"schema_version":"1.0","source":{"id":"1811.07493","kind":"arxiv","version":1}},"canonical_sha256":"b10083f417183d3f6efd0806ed0e934f7296f749fc8360a1ba13ffd6b3c40a0e","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"b10083f417183d3f6efd0806ed0e934f7296f749fc8360a1ba13ffd6b3c40a0e","first_computed_at":"2026-05-18T00:00:24.327593Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:00:24.327593Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"TWgNUahxDEgxupMF8RRmRZ2AYNt1QuQ/lxRuv5rDVUGRqowmh4wVcgVrPgXeEVNQPNpe0e7n6knFl/RjGqd8CQ==","signature_status":"signed_v1","signed_at":"2026-05-18T00:00:24.328206Z","signed_message":"canonical_sha256_bytes"},"source_id":"1811.07493","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:5678fed3868a80da8c6adb24f5e321eb2d5be18a2fb4af3dc864b30924ffba5a","sha256:9622dff947be25a5a8771e4287b0e863cc0d67bfec056ef06607335a48dad32f"],"state_sha256":"b68fafaa9763ca4579d0c1d45a0993372754caf939081b2354346bed9c50b084"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"VABEjbnNqyMgXh5XflIhs+aLEFWnlmVABSbnNvIeVGH9qWQ56hp8F3Z0hroUUtlrE7mVZlMV6GwisZxcVDZ+AQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-06T07:13:58.478427Z","bundle_sha256":"0554440cee741f42e11b1ef26c9be8ce5bcb09802ff67a0dce8ee964271374f9"}}