{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:IVQ7WK4KMFBE2ZGLPPS2Y4EWK6","short_pith_number":"pith:IVQ7WK4K","canonical_record":{"source":{"id":"2507.23225","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-07-31T03:35:19Z","cross_cats_sorted":[],"title_canon_sha256":"0f75fecc267eae882252e5cd7ceed800f90d02b61614283b4272f55854a275bb","abstract_canon_sha256":"85199417890feb97f18ca6a453b9c823a099de182de936b9be5209a7d44d0740"},"schema_version":"1.0"},"canonical_sha256":"4561fb2b8a61424d64cb7be5ac7096578ca4e5a59e6fb5b8be305ab4c962bec7","source":{"kind":"arxiv","id":"2507.23225","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2507.23225","created_at":"2026-07-05T11:46:07Z"},{"alias_kind":"arxiv_version","alias_value":"2507.23225v1","created_at":"2026-07-05T11:46:07Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2507.23225","created_at":"2026-07-05T11:46:07Z"},{"alias_kind":"pith_short_12","alias_value":"IVQ7WK4KMFBE","created_at":"2026-07-05T11:46:07Z"},{"alias_kind":"pith_short_16","alias_value":"IVQ7WK4KMFBE2ZGL","created_at":"2026-07-05T11:46:07Z"},{"alias_kind":"pith_short_8","alias_value":"IVQ7WK4K","created_at":"2026-07-05T11:46:07Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:IVQ7WK4KMFBE2ZGLPPS2Y4EWK6","target":"record","payload":{"canonical_record":{"source":{"id":"2507.23225","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-07-31T03:35:19Z","cross_cats_sorted":[],"title_canon_sha256":"0f75fecc267eae882252e5cd7ceed800f90d02b61614283b4272f55854a275bb","abstract_canon_sha256":"85199417890feb97f18ca6a453b9c823a099de182de936b9be5209a7d44d0740"},"schema_version":"1.0"},"canonical_sha256":"4561fb2b8a61424d64cb7be5ac7096578ca4e5a59e6fb5b8be305ab4c962bec7","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:46:07.911348Z","signature_b64":"4FIGcr5Vrdhh5rJHWRXYDLX/c8C0J6K0Twhp0kn91Id33+DvypgDI8EpCiXm1dLjyg/Loz0TR+Zo9bdhNg7+Bw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"4561fb2b8a61424d64cb7be5ac7096578ca4e5a59e6fb5b8be305ab4c962bec7","last_reissued_at":"2026-07-05T11:46:07.910863Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:46:07.910863Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2507.23225","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":"2026-07-05T11:46:07Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"QRYCwVtIaMphAP7SYRrUZ818uWcsNIfyfh6bekOvjJXa7hSd4/j1xELHqzj6uCNObXxSRq//QVPCNGePurrxCQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-07T08:04:52.949068Z"},"content_sha256":"59284210927b706d8a7a9e20910d5b8cd0cff13cfd09795d2226b073970b7b7d","schema_version":"1.0","event_id":"sha256:59284210927b706d8a7a9e20910d5b8cd0cff13cfd09795d2226b073970b7b7d"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:IVQ7WK4KMFBE2ZGLPPS2Y4EWK6","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"YOLO-ROC: A High-Precision and Ultra-Lightweight Model for Real-Time Road Damage Detection","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Weichao Pan, Zicheng Lin","submitted_at":"2025-07-31T03:35:19Z","abstract_excerpt":"Road damage detection is a critical task for ensuring traffic safety and maintaining infrastructure integrity. While deep learning-based detection methods are now widely adopted, they still face two core challenges: first, the inadequate multi-scale feature extraction capabilities of existing networks for diverse targets like cracks and potholes, leading to high miss rates for small-scale damage; and second, the substantial parameter counts and computational demands of mainstream models, which hinder their deployment for efficient, real-time detection in practical applications. To address thes"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2507.23225","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":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2507.23225/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"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":"2026-07-05T11:46:07Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"sImLzSd4UkoHcvXw4LHAPgeMKTJSyqdxCLvoTSYbHpbfsgx967r+12wNPpIptEa+3PkgmSZctve80pbaL6vHAQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-07T08:04:52.949560Z"},"content_sha256":"e170202281a4cac0ad2299a3a35f4ba5a39f7ee6138f11fb3dd05d78bd60662b","schema_version":"1.0","event_id":"sha256:e170202281a4cac0ad2299a3a35f4ba5a39f7ee6138f11fb3dd05d78bd60662b"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/IVQ7WK4KMFBE2ZGLPPS2Y4EWK6/bundle.json","state_url":"https://pith.science/pith/IVQ7WK4KMFBE2ZGLPPS2Y4EWK6/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/IVQ7WK4KMFBE2ZGLPPS2Y4EWK6/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":"2026-08-07T08:04:52Z","links":{"resolver":"https://pith.science/pith/IVQ7WK4KMFBE2ZGLPPS2Y4EWK6","bundle":"https://pith.science/pith/IVQ7WK4KMFBE2ZGLPPS2Y4EWK6/bundle.json","state":"https://pith.science/pith/IVQ7WK4KMFBE2ZGLPPS2Y4EWK6/state.json","well_known_bundle":"https://pith.science/.well-known/pith/IVQ7WK4KMFBE2ZGLPPS2Y4EWK6/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:IVQ7WK4KMFBE2ZGLPPS2Y4EWK6","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":"85199417890feb97f18ca6a453b9c823a099de182de936b9be5209a7d44d0740","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-07-31T03:35:19Z","title_canon_sha256":"0f75fecc267eae882252e5cd7ceed800f90d02b61614283b4272f55854a275bb"},"schema_version":"1.0","source":{"id":"2507.23225","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2507.23225","created_at":"2026-07-05T11:46:07Z"},{"alias_kind":"arxiv_version","alias_value":"2507.23225v1","created_at":"2026-07-05T11:46:07Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2507.23225","created_at":"2026-07-05T11:46:07Z"},{"alias_kind":"pith_short_12","alias_value":"IVQ7WK4KMFBE","created_at":"2026-07-05T11:46:07Z"},{"alias_kind":"pith_short_16","alias_value":"IVQ7WK4KMFBE2ZGL","created_at":"2026-07-05T11:46:07Z"},{"alias_kind":"pith_short_8","alias_value":"IVQ7WK4K","created_at":"2026-07-05T11:46:07Z"}],"graph_snapshots":[{"event_id":"sha256:e170202281a4cac0ad2299a3a35f4ba5a39f7ee6138f11fb3dd05d78bd60662b","target":"graph","created_at":"2026-07-05T11:46:07Z","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/2507.23225/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Road damage detection is a critical task for ensuring traffic safety and maintaining infrastructure integrity. While deep learning-based detection methods are now widely adopted, they still face two core challenges: first, the inadequate multi-scale feature extraction capabilities of existing networks for diverse targets like cracks and potholes, leading to high miss rates for small-scale damage; and second, the substantial parameter counts and computational demands of mainstream models, which hinder their deployment for efficient, real-time detection in practical applications. To address thes","authors_text":"Weichao Pan, Zicheng Lin","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-07-31T03:35:19Z","title":"YOLO-ROC: A High-Precision and Ultra-Lightweight Model for Real-Time Road Damage Detection"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2507.23225","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":"sha256:59284210927b706d8a7a9e20910d5b8cd0cff13cfd09795d2226b073970b7b7d","target":"record","created_at":"2026-07-05T11:46:07Z","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":"85199417890feb97f18ca6a453b9c823a099de182de936b9be5209a7d44d0740","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-07-31T03:35:19Z","title_canon_sha256":"0f75fecc267eae882252e5cd7ceed800f90d02b61614283b4272f55854a275bb"},"schema_version":"1.0","source":{"id":"2507.23225","kind":"arxiv","version":1}},"canonical_sha256":"4561fb2b8a61424d64cb7be5ac7096578ca4e5a59e6fb5b8be305ab4c962bec7","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"4561fb2b8a61424d64cb7be5ac7096578ca4e5a59e6fb5b8be305ab4c962bec7","first_computed_at":"2026-07-05T11:46:07.910863Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:46:07.910863Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"4FIGcr5Vrdhh5rJHWRXYDLX/c8C0J6K0Twhp0kn91Id33+DvypgDI8EpCiXm1dLjyg/Loz0TR+Zo9bdhNg7+Bw==","signature_status":"signed_v1","signed_at":"2026-07-05T11:46:07.911348Z","signed_message":"canonical_sha256_bytes"},"source_id":"2507.23225","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:59284210927b706d8a7a9e20910d5b8cd0cff13cfd09795d2226b073970b7b7d","sha256:e170202281a4cac0ad2299a3a35f4ba5a39f7ee6138f11fb3dd05d78bd60662b"],"state_sha256":"7a9903b078eadde95d2d3af886774157256a1aaf06ec144dbea1172d81815d43"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ewqWNLB2UHQkqdWi40G0yDDOkIsdPY7PdrbEQQ4KDnxYXwgm9BFjIhvTYNWdPY6BnFdZ0gURo6jA7Irbc6UMAQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-07T08:04:52.953092Z","bundle_sha256":"7bf0bb12b874bc9bfa95dea20aba47c79627f827d3109d10b5c4aae48191ec3f"}}