{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:PWILFQARHNF24LWRWTFGBABEWP","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":"39ba592eea0c6634edf82dc37d49a63e88ca63bda89a199af245fab2f524bffc","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"stat.AP","submitted_at":"2023-08-03T03:53:50Z","title_canon_sha256":"61941fa1171e1ba3f15e6ec3a0a85300aed032c85d632a2a9f3b3ea7ba4eb6bc"},"schema_version":"1.0","source":{"id":"2308.01523","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2308.01523","created_at":"2026-07-05T07:30:37Z"},{"alias_kind":"arxiv_version","alias_value":"2308.01523v2","created_at":"2026-07-05T07:30:37Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2308.01523","created_at":"2026-07-05T07:30:37Z"},{"alias_kind":"pith_short_12","alias_value":"PWILFQARHNF2","created_at":"2026-07-05T07:30:37Z"},{"alias_kind":"pith_short_16","alias_value":"PWILFQARHNF24LWR","created_at":"2026-07-05T07:30:37Z"},{"alias_kind":"pith_short_8","alias_value":"PWILFQAR","created_at":"2026-07-05T07:30:37Z"}],"graph_snapshots":[{"event_id":"sha256:8c22852e105b1157ad8d8c33e56aed3390158d42393466318708de359b5509c8","target":"graph","created_at":"2026-07-05T07:30:37Z","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/2308.01523/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Measuring soccer shooting skill is a challenging analytics problem due to the scarcity and highly contextual nature of scoring events. The introduction of more advanced data surrounding soccer shots has given rise to model-based metrics which better cope with these challenges. Specifically, metrics such as expected goals added, goals above expectation, and post-shot expected goals all use advanced data to offer an improvement over the classical conversion rate. However, all metrics developed to date assign a value of zero to off-target shots, which account for almost two-thirds of all shots, s","authors_text":"Devin Pleuler, Ethan Baron, Nathan Sandholtz, Timothy C. Y. Chan","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"stat.AP","submitted_at":"2023-08-03T03:53:50Z","title":"Miss It Like Messi: Extracting Value from Off-Target Shots in Soccer"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2308.01523","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":"sha256:5c39c6a0ebcb043bd845682148a99adfe4e1f5745465f358b83bb86ba4b7b105","target":"record","created_at":"2026-07-05T07:30:37Z","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":"39ba592eea0c6634edf82dc37d49a63e88ca63bda89a199af245fab2f524bffc","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"stat.AP","submitted_at":"2023-08-03T03:53:50Z","title_canon_sha256":"61941fa1171e1ba3f15e6ec3a0a85300aed032c85d632a2a9f3b3ea7ba4eb6bc"},"schema_version":"1.0","source":{"id":"2308.01523","kind":"arxiv","version":2}},"canonical_sha256":"7d90b2c0113b4bae2ed1b4ca608024b3cbfa0c30d9417a56ee404f245bab77eb","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"7d90b2c0113b4bae2ed1b4ca608024b3cbfa0c30d9417a56ee404f245bab77eb","first_computed_at":"2026-07-05T07:30:37.433327Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T07:30:37.433327Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"m3LnBRNK42IBYsxhCsYqNa1K2DlXYBzVRcDl2Wq9D1e5PTn/vIWLwfsrH4LBlPIikcbgAaArUL9KT1E+uJl3Dw==","signature_status":"signed_v1","signed_at":"2026-07-05T07:30:37.433812Z","signed_message":"canonical_sha256_bytes"},"source_id":"2308.01523","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:5c39c6a0ebcb043bd845682148a99adfe4e1f5745465f358b83bb86ba4b7b105","sha256:8c22852e105b1157ad8d8c33e56aed3390158d42393466318708de359b5509c8"],"state_sha256":"f8c26549cf326a32ded654a43d638c0719196df50d942d61b44385f269e7c52a"}