{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2018:HHSCDER4J75ZVNG3TDJF22U5MI","short_pith_number":"pith:HHSCDER4","canonical_record":{"source":{"id":"1805.01055","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-05-02T23:29:34Z","cross_cats_sorted":[],"title_canon_sha256":"d040c1252983dd63cb7e4d62975a1dc7ef4ff2cbed8e95c93839375bd1f2ea54","abstract_canon_sha256":"4fd10dc312d3d9d75a904f63472fabf53e561a9b5a829c38332dd5f1407a9e59"},"schema_version":"1.0"},"canonical_sha256":"39e421923c4ffb9ab4db98d25d6a9d6233d8f4eb3fda7eb0be3480cc96de0f6f","source":{"kind":"arxiv","id":"1805.01055","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1805.01055","created_at":"2026-05-18T00:16:52Z"},{"alias_kind":"arxiv_version","alias_value":"1805.01055v1","created_at":"2026-05-18T00:16:52Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1805.01055","created_at":"2026-05-18T00:16:52Z"},{"alias_kind":"pith_short_12","alias_value":"HHSCDER4J75Z","created_at":"2026-05-18T12:32:28Z"},{"alias_kind":"pith_short_16","alias_value":"HHSCDER4J75ZVNG3","created_at":"2026-05-18T12:32:28Z"},{"alias_kind":"pith_short_8","alias_value":"HHSCDER4","created_at":"2026-05-18T12:32:28Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2018:HHSCDER4J75ZVNG3TDJF22U5MI","target":"record","payload":{"canonical_record":{"source":{"id":"1805.01055","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-05-02T23:29:34Z","cross_cats_sorted":[],"title_canon_sha256":"d040c1252983dd63cb7e4d62975a1dc7ef4ff2cbed8e95c93839375bd1f2ea54","abstract_canon_sha256":"4fd10dc312d3d9d75a904f63472fabf53e561a9b5a829c38332dd5f1407a9e59"},"schema_version":"1.0"},"canonical_sha256":"39e421923c4ffb9ab4db98d25d6a9d6233d8f4eb3fda7eb0be3480cc96de0f6f","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:16:52.723180Z","signature_b64":"lTRgkdRdBHOcYjn6Zxt5euqEKc8Q/CFvVOZX07IS0udQGPcwJYb0pNRE7BT4MF2u+q3nwKTN1yWdZow3yl/qDw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"39e421923c4ffb9ab4db98d25d6a9d6233d8f4eb3fda7eb0be3480cc96de0f6f","last_reissued_at":"2026-05-18T00:16:52.722471Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:16:52.722471Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1805.01055","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":"2026-05-18T00:16:52Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"3xBGczguvhQ6XrOIxrgxGZXl+nvIYcfMUzFNyDIe4yAdZlKDE08AAeFz2Jd2/35oHCQLDnK8isD2xsPfK6b4DA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-03T02:22:54.622591Z"},"content_sha256":"6d8df0bd70f216b974a06eaad07116e74c45452a4985ec4cede3dfbc157202e4","schema_version":"1.0","event_id":"sha256:6d8df0bd70f216b974a06eaad07116e74c45452a4985ec4cede3dfbc157202e4"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2018:HHSCDER4J75ZVNG3TDJF22U5MI","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Vision-based Structural Inspection using Multiscale Deep Convolutional Neural Networks","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"BillieF Spencer Jr, Tu Hoang, Vedhus Hoskere, Yasutaka Narazaki","submitted_at":"2018-05-02T23:29:34Z","abstract_excerpt":"Current methods of practice for inspection of civil infrastructure typically involve visual assessments conducted manually by trained inspectors. For post-earthquake structural inspections, the number of structures to be inspected often far exceeds the capability of the available inspectors. The labor intensive and time consuming natures of manual inspection have engendered research into development of algorithms for automated damage identification using computer vision techniques. In this paper, a novel damage localization and classification technique based on a state of the art computer visi"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1805.01055","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":"2026-05-18T00:16:52Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"KZyHxjz/3yOGR5luqi0lnea41noX/t5JV8Ym+oLsJJfh1n+YvRGusPirAURWsHrlhpb7BDYPXZoGRkoJTVdhAQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-03T02:22:54.622942Z"},"content_sha256":"56ad44cd695bedd9a64c10d5b6561933dfbba0652eb2117d61400f2f6358b3b5","schema_version":"1.0","event_id":"sha256:56ad44cd695bedd9a64c10d5b6561933dfbba0652eb2117d61400f2f6358b3b5"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/HHSCDER4J75ZVNG3TDJF22U5MI/bundle.json","state_url":"https://pith.science/pith/HHSCDER4J75ZVNG3TDJF22U5MI/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/HHSCDER4J75ZVNG3TDJF22U5MI/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":"2026-07-03T02:22:54Z","links":{"resolver":"https://pith.science/pith/HHSCDER4J75ZVNG3TDJF22U5MI","bundle":"https://pith.science/pith/HHSCDER4J75ZVNG3TDJF22U5MI/bundle.json","state":"https://pith.science/pith/HHSCDER4J75ZVNG3TDJF22U5MI/state.json","well_known_bundle":"https://pith.science/.well-known/pith/HHSCDER4J75ZVNG3TDJF22U5MI/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2018:HHSCDER4J75ZVNG3TDJF22U5MI","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":"4fd10dc312d3d9d75a904f63472fabf53e561a9b5a829c38332dd5f1407a9e59","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-05-02T23:29:34Z","title_canon_sha256":"d040c1252983dd63cb7e4d62975a1dc7ef4ff2cbed8e95c93839375bd1f2ea54"},"schema_version":"1.0","source":{"id":"1805.01055","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1805.01055","created_at":"2026-05-18T00:16:52Z"},{"alias_kind":"arxiv_version","alias_value":"1805.01055v1","created_at":"2026-05-18T00:16:52Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1805.01055","created_at":"2026-05-18T00:16:52Z"},{"alias_kind":"pith_short_12","alias_value":"HHSCDER4J75Z","created_at":"2026-05-18T12:32:28Z"},{"alias_kind":"pith_short_16","alias_value":"HHSCDER4J75ZVNG3","created_at":"2026-05-18T12:32:28Z"},{"alias_kind":"pith_short_8","alias_value":"HHSCDER4","created_at":"2026-05-18T12:32:28Z"}],"graph_snapshots":[{"event_id":"sha256:56ad44cd695bedd9a64c10d5b6561933dfbba0652eb2117d61400f2f6358b3b5","target":"graph","created_at":"2026-05-18T00:16:52Z","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":"Current methods of practice for inspection of civil infrastructure typically involve visual assessments conducted manually by trained inspectors. For post-earthquake structural inspections, the number of structures to be inspected often far exceeds the capability of the available inspectors. The labor intensive and time consuming natures of manual inspection have engendered research into development of algorithms for automated damage identification using computer vision techniques. In this paper, a novel damage localization and classification technique based on a state of the art computer visi","authors_text":"BillieF Spencer Jr, Tu Hoang, Vedhus Hoskere, Yasutaka Narazaki","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-05-02T23:29:34Z","title":"Vision-based Structural Inspection using Multiscale Deep Convolutional Neural Networks"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1805.01055","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":"sha256:6d8df0bd70f216b974a06eaad07116e74c45452a4985ec4cede3dfbc157202e4","target":"record","created_at":"2026-05-18T00:16:52Z","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":"4fd10dc312d3d9d75a904f63472fabf53e561a9b5a829c38332dd5f1407a9e59","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-05-02T23:29:34Z","title_canon_sha256":"d040c1252983dd63cb7e4d62975a1dc7ef4ff2cbed8e95c93839375bd1f2ea54"},"schema_version":"1.0","source":{"id":"1805.01055","kind":"arxiv","version":1}},"canonical_sha256":"39e421923c4ffb9ab4db98d25d6a9d6233d8f4eb3fda7eb0be3480cc96de0f6f","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"39e421923c4ffb9ab4db98d25d6a9d6233d8f4eb3fda7eb0be3480cc96de0f6f","first_computed_at":"2026-05-18T00:16:52.722471Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:16:52.722471Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"lTRgkdRdBHOcYjn6Zxt5euqEKc8Q/CFvVOZX07IS0udQGPcwJYb0pNRE7BT4MF2u+q3nwKTN1yWdZow3yl/qDw==","signature_status":"signed_v1","signed_at":"2026-05-18T00:16:52.723180Z","signed_message":"canonical_sha256_bytes"},"source_id":"1805.01055","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:6d8df0bd70f216b974a06eaad07116e74c45452a4985ec4cede3dfbc157202e4","sha256:56ad44cd695bedd9a64c10d5b6561933dfbba0652eb2117d61400f2f6358b3b5"],"state_sha256":"b69ebc4ff25dbb27f70690d002c679958adcd61c684b00d2fb27fb90637720c6"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"HF4UsI9u9i0Eo3mGbf2w1+tX9inx4za7u1ChP0au9D8yBT4NkVHucivF2k96wdBiiXQDdw+DCA8NbPophHWTBA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-03T02:22:54.624933Z","bundle_sha256":"663f3fd5e93afcc4976533f37c1981e5d59dcdee4d0062fe20f9e6c6f9a1e25c"}}