{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:R5YAXGGKGXJJNG3AJJMBVGVV5R","short_pith_number":"pith:R5YAXGGK","canonical_record":{"source":{"id":"2302.00123","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2023-01-31T22:04:53Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"d23eb8ffb95bd1cb8d0191255eaee183533f5e3e265987e327d1b7162bf5c3f7","abstract_canon_sha256":"aab9b0315ae19b6be65bf989dc6d840f1acaf1a7da48c4fb6b462a5c86905805"},"schema_version":"1.0"},"canonical_sha256":"8f700b98ca35d2969b604a581a9ab5ec54d929c7acd4f29ec623929d6387cbd7","source":{"kind":"arxiv","id":"2302.00123","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2302.00123","created_at":"2026-07-05T05:37:59Z"},{"alias_kind":"arxiv_version","alias_value":"2302.00123v1","created_at":"2026-07-05T05:37:59Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2302.00123","created_at":"2026-07-05T05:37:59Z"},{"alias_kind":"pith_short_12","alias_value":"R5YAXGGKGXJJ","created_at":"2026-07-05T05:37:59Z"},{"alias_kind":"pith_short_16","alias_value":"R5YAXGGKGXJJNG3A","created_at":"2026-07-05T05:37:59Z"},{"alias_kind":"pith_short_8","alias_value":"R5YAXGGK","created_at":"2026-07-05T05:37:59Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:R5YAXGGKGXJJNG3AJJMBVGVV5R","target":"record","payload":{"canonical_record":{"source":{"id":"2302.00123","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2023-01-31T22:04:53Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"d23eb8ffb95bd1cb8d0191255eaee183533f5e3e265987e327d1b7162bf5c3f7","abstract_canon_sha256":"aab9b0315ae19b6be65bf989dc6d840f1acaf1a7da48c4fb6b462a5c86905805"},"schema_version":"1.0"},"canonical_sha256":"8f700b98ca35d2969b604a581a9ab5ec54d929c7acd4f29ec623929d6387cbd7","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T05:37:59.818949Z","signature_b64":"Z96p0yFqeZLVs7Ha+nMK9wfjgtzaaNzQ4Ixx+FcZQ3SzlJyGxxrgXJVklAPDZbIraRW85LqDO7gPHlvR2JbjAQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"8f700b98ca35d2969b604a581a9ab5ec54d929c7acd4f29ec623929d6387cbd7","last_reissued_at":"2026-07-05T05:37:59.818612Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T05:37:59.818612Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2302.00123","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":"2026-07-05T05:37:59Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"OImbgrUUS0N3MorY2eYWoN+IiA7LIBJm35ix7GViOqzBbUhD3Zuu2cUPJX18ZuheENYpP13Zk4Bk+UB04Q4DDg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-01T05:45:51.094772Z"},"content_sha256":"3f42da964c2c57071e33c6db50144ae5e5fa814f5aedb79f9ecbb71fb10056ec","schema_version":"1.0","event_id":"sha256:3f42da964c2c57071e33c6db50144ae5e5fa814f5aedb79f9ecbb71fb10056ec"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:R5YAXGGKGXJJNG3AJJMBVGVV5R","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Design and Implementation of A Soccer Ball Detection System with Multiple Cameras","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.CV","authors_text":"Lei Li, Tianfang Zhang, Wenhan Zhang, Zhongfeng Kang","submitted_at":"2023-01-31T22:04:53Z","abstract_excerpt":"The detection of small and medium-sized objects in three dimensions has always been a frontier exploration problem. This technology has a very wide application in sports analysis, games, virtual reality, human animation and other fields. The traditional three-dimensional small target detection technology has the disadvantages of high cost, low precision and inconvenience, so it is difficult to apply in practice. With the development of machine learning and deep learning, the technology of computer vision algorithms is becoming more mature. Creating an immersive media experience is considered t"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2302.00123","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/2302.00123/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":"2026-07-05T05:37:59Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"wtpX5uTtSOetyCSNO9EDhRbCC/iJ70WNWk+z+fEBMAvQ9ail9bdP7yNeN+z6Shfwcz43nZP+yCO1eVW9aB/dBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-01T05:45:51.095318Z"},"content_sha256":"f1c0453401c9a61f88eb2500cbd5aa9eaf9736d4df70ab4f2386f7443649d66c","schema_version":"1.0","event_id":"sha256:f1c0453401c9a61f88eb2500cbd5aa9eaf9736d4df70ab4f2386f7443649d66c"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/R5YAXGGKGXJJNG3AJJMBVGVV5R/bundle.json","state_url":"https://pith.science/pith/R5YAXGGKGXJJNG3AJJMBVGVV5R/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/R5YAXGGKGXJJNG3AJJMBVGVV5R/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":"2026-08-01T05:45:51Z","links":{"resolver":"https://pith.science/pith/R5YAXGGKGXJJNG3AJJMBVGVV5R","bundle":"https://pith.science/pith/R5YAXGGKGXJJNG3AJJMBVGVV5R/bundle.json","state":"https://pith.science/pith/R5YAXGGKGXJJNG3AJJMBVGVV5R/state.json","well_known_bundle":"https://pith.science/.well-known/pith/R5YAXGGKGXJJNG3AJJMBVGVV5R/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:R5YAXGGKGXJJNG3AJJMBVGVV5R","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":"aab9b0315ae19b6be65bf989dc6d840f1acaf1a7da48c4fb6b462a5c86905805","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2023-01-31T22:04:53Z","title_canon_sha256":"d23eb8ffb95bd1cb8d0191255eaee183533f5e3e265987e327d1b7162bf5c3f7"},"schema_version":"1.0","source":{"id":"2302.00123","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2302.00123","created_at":"2026-07-05T05:37:59Z"},{"alias_kind":"arxiv_version","alias_value":"2302.00123v1","created_at":"2026-07-05T05:37:59Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2302.00123","created_at":"2026-07-05T05:37:59Z"},{"alias_kind":"pith_short_12","alias_value":"R5YAXGGKGXJJ","created_at":"2026-07-05T05:37:59Z"},{"alias_kind":"pith_short_16","alias_value":"R5YAXGGKGXJJNG3A","created_at":"2026-07-05T05:37:59Z"},{"alias_kind":"pith_short_8","alias_value":"R5YAXGGK","created_at":"2026-07-05T05:37:59Z"}],"graph_snapshots":[{"event_id":"sha256:f1c0453401c9a61f88eb2500cbd5aa9eaf9736d4df70ab4f2386f7443649d66c","target":"graph","created_at":"2026-07-05T05:37:59Z","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/2302.00123/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The detection of small and medium-sized objects in three dimensions has always been a frontier exploration problem. This technology has a very wide application in sports analysis, games, virtual reality, human animation and other fields. The traditional three-dimensional small target detection technology has the disadvantages of high cost, low precision and inconvenience, so it is difficult to apply in practice. With the development of machine learning and deep learning, the technology of computer vision algorithms is becoming more mature. Creating an immersive media experience is considered t","authors_text":"Lei Li, Tianfang Zhang, Wenhan Zhang, Zhongfeng Kang","cross_cats":["cs.AI"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2023-01-31T22:04:53Z","title":"Design and Implementation of A Soccer Ball Detection System with Multiple Cameras"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2302.00123","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":"sha256:3f42da964c2c57071e33c6db50144ae5e5fa814f5aedb79f9ecbb71fb10056ec","target":"record","created_at":"2026-07-05T05:37:59Z","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":"aab9b0315ae19b6be65bf989dc6d840f1acaf1a7da48c4fb6b462a5c86905805","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2023-01-31T22:04:53Z","title_canon_sha256":"d23eb8ffb95bd1cb8d0191255eaee183533f5e3e265987e327d1b7162bf5c3f7"},"schema_version":"1.0","source":{"id":"2302.00123","kind":"arxiv","version":1}},"canonical_sha256":"8f700b98ca35d2969b604a581a9ab5ec54d929c7acd4f29ec623929d6387cbd7","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"8f700b98ca35d2969b604a581a9ab5ec54d929c7acd4f29ec623929d6387cbd7","first_computed_at":"2026-07-05T05:37:59.818612Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T05:37:59.818612Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"Z96p0yFqeZLVs7Ha+nMK9wfjgtzaaNzQ4Ixx+FcZQ3SzlJyGxxrgXJVklAPDZbIraRW85LqDO7gPHlvR2JbjAQ==","signature_status":"signed_v1","signed_at":"2026-07-05T05:37:59.818949Z","signed_message":"canonical_sha256_bytes"},"source_id":"2302.00123","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:3f42da964c2c57071e33c6db50144ae5e5fa814f5aedb79f9ecbb71fb10056ec","sha256:f1c0453401c9a61f88eb2500cbd5aa9eaf9736d4df70ab4f2386f7443649d66c"],"state_sha256":"09924ca23b2271e4144d72f76cd570c10f06ac62c7ef302c8b3a90f467c78dee"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"m5Xje+xvYN/EY8+VmDX2Kooo1zZ4qSD88viNGV5hqcAdcerr3u92t38fUt9n6ZN5Uv+4MVvpKDxXveYRHx1bDg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-01T05:45:51.100226Z","bundle_sha256":"83a242f2faad8788827714ec88a48e25489049646a729f799d6f984c4a194363"}}