{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2016:RWKCFHIUBT7Y7VUXNDS524KCA5","short_pith_number":"pith:RWKCFHIU","canonical_record":{"source":{"id":"1609.09830","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.AP","submitted_at":"2016-09-30T17:39:21Z","cross_cats_sorted":[],"title_canon_sha256":"e835be8d875a93216dca4d2a835fc553223c13fb6c5ba943686228c551d5f9d6","abstract_canon_sha256":"ea19135a843a3e8c7a0f6abc95358bfa56708ac8cffd3eba652cbd7894195969"},"schema_version":"1.0"},"canonical_sha256":"8d94229d140cff8fd69768e5dd7142077982bb83677a5103b31ff000074c180f","source":{"kind":"arxiv","id":"1609.09830","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1609.09830","created_at":"2026-05-18T01:03:33Z"},{"alias_kind":"arxiv_version","alias_value":"1609.09830v1","created_at":"2026-05-18T01:03:33Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1609.09830","created_at":"2026-05-18T01:03:33Z"},{"alias_kind":"pith_short_12","alias_value":"RWKCFHIUBT7Y","created_at":"2026-05-18T12:30:41Z"},{"alias_kind":"pith_short_16","alias_value":"RWKCFHIUBT7Y7VUX","created_at":"2026-05-18T12:30:41Z"},{"alias_kind":"pith_short_8","alias_value":"RWKCFHIU","created_at":"2026-05-18T12:30:41Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2016:RWKCFHIUBT7Y7VUXNDS524KCA5","target":"record","payload":{"canonical_record":{"source":{"id":"1609.09830","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.AP","submitted_at":"2016-09-30T17:39:21Z","cross_cats_sorted":[],"title_canon_sha256":"e835be8d875a93216dca4d2a835fc553223c13fb6c5ba943686228c551d5f9d6","abstract_canon_sha256":"ea19135a843a3e8c7a0f6abc95358bfa56708ac8cffd3eba652cbd7894195969"},"schema_version":"1.0"},"canonical_sha256":"8d94229d140cff8fd69768e5dd7142077982bb83677a5103b31ff000074c180f","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T01:03:33.246446Z","signature_b64":"HuDBValyWSDdUAyJOetg6q66QwMLR6P7fE9QLe5oYe32BvNimO4dSEVRZ0HFM1nmt3fBbZWRBKTMXf87nmBeBA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"8d94229d140cff8fd69768e5dd7142077982bb83677a5103b31ff000074c180f","last_reissued_at":"2026-05-18T01:03:33.245896Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T01:03:33.245896Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1609.09830","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":"2026-05-18T01:03:33Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ZEdVeujytIIJfZ3g09PLTaZHbEKMNRpfk5888j/Vuts8sdRLaeJsSeCLh4jva1fhFy4gAWxXSC2oqOD8V0H9Cw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-02T09:22:35.446051Z"},"content_sha256":"a769a5fbf67888cf7b55f9638e652003888a91451d1abd8f6d86ee5b6e67a905","schema_version":"1.0","event_id":"sha256:a769a5fbf67888cf7b55f9638e652003888a91451d1abd8f6d86ee5b6e67a905"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2016:RWKCFHIUBT7Y7VUXNDS524KCA5","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Meta-Analytics: Tools for Understanding the Statistical Properties of Sports Metrics","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"stat.AP","authors_text":"Alexander D'Amour, Alexander Franks, Daniel Cervone, Luke Bornn","submitted_at":"2016-09-30T17:39:21Z","abstract_excerpt":"In sports, there is a constant effort to improve metrics which assess player ability, but there has been almost no effort to quantify and compare existing metrics. Any individual making a management, coaching, or gambling decision is quickly overwhelmed with hundreds of statistics. We address this problem by proposing a set of \"meta-metrics\" which can be used to identify the metrics that provide the most unique, reliable, and useful information for decision-makers. Specifically, we develop methods to evalute metrics based on three criteria: 1) stability: does the metric measure the same thing "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1609.09830","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":"2026-05-18T01:03:33Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"yoiJ9c7GPsHBc6An06rzCu9S+sONZ7r7RKzWszG9Q3c2dN+fAO4uiwugCXR0n1VYMwFaniRIWoCY43mTKKvnBA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-02T09:22:35.446417Z"},"content_sha256":"e1edecb3f26ae374d9919667525386268bf40d1bf8d2aa556a6638d97dc1e084","schema_version":"1.0","event_id":"sha256:e1edecb3f26ae374d9919667525386268bf40d1bf8d2aa556a6638d97dc1e084"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/RWKCFHIUBT7Y7VUXNDS524KCA5/bundle.json","state_url":"https://pith.science/pith/RWKCFHIUBT7Y7VUXNDS524KCA5/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/RWKCFHIUBT7Y7VUXNDS524KCA5/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":"2026-07-02T09:22:35Z","links":{"resolver":"https://pith.science/pith/RWKCFHIUBT7Y7VUXNDS524KCA5","bundle":"https://pith.science/pith/RWKCFHIUBT7Y7VUXNDS524KCA5/bundle.json","state":"https://pith.science/pith/RWKCFHIUBT7Y7VUXNDS524KCA5/state.json","well_known_bundle":"https://pith.science/.well-known/pith/RWKCFHIUBT7Y7VUXNDS524KCA5/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2016:RWKCFHIUBT7Y7VUXNDS524KCA5","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":"ea19135a843a3e8c7a0f6abc95358bfa56708ac8cffd3eba652cbd7894195969","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.AP","submitted_at":"2016-09-30T17:39:21Z","title_canon_sha256":"e835be8d875a93216dca4d2a835fc553223c13fb6c5ba943686228c551d5f9d6"},"schema_version":"1.0","source":{"id":"1609.09830","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1609.09830","created_at":"2026-05-18T01:03:33Z"},{"alias_kind":"arxiv_version","alias_value":"1609.09830v1","created_at":"2026-05-18T01:03:33Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1609.09830","created_at":"2026-05-18T01:03:33Z"},{"alias_kind":"pith_short_12","alias_value":"RWKCFHIUBT7Y","created_at":"2026-05-18T12:30:41Z"},{"alias_kind":"pith_short_16","alias_value":"RWKCFHIUBT7Y7VUX","created_at":"2026-05-18T12:30:41Z"},{"alias_kind":"pith_short_8","alias_value":"RWKCFHIU","created_at":"2026-05-18T12:30:41Z"}],"graph_snapshots":[{"event_id":"sha256:e1edecb3f26ae374d9919667525386268bf40d1bf8d2aa556a6638d97dc1e084","target":"graph","created_at":"2026-05-18T01:03:33Z","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":"In sports, there is a constant effort to improve metrics which assess player ability, but there has been almost no effort to quantify and compare existing metrics. Any individual making a management, coaching, or gambling decision is quickly overwhelmed with hundreds of statistics. We address this problem by proposing a set of \"meta-metrics\" which can be used to identify the metrics that provide the most unique, reliable, and useful information for decision-makers. Specifically, we develop methods to evalute metrics based on three criteria: 1) stability: does the metric measure the same thing ","authors_text":"Alexander D'Amour, Alexander Franks, Daniel Cervone, Luke Bornn","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.AP","submitted_at":"2016-09-30T17:39:21Z","title":"Meta-Analytics: Tools for Understanding the Statistical Properties of Sports Metrics"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1609.09830","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:a769a5fbf67888cf7b55f9638e652003888a91451d1abd8f6d86ee5b6e67a905","target":"record","created_at":"2026-05-18T01:03:33Z","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":"ea19135a843a3e8c7a0f6abc95358bfa56708ac8cffd3eba652cbd7894195969","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.AP","submitted_at":"2016-09-30T17:39:21Z","title_canon_sha256":"e835be8d875a93216dca4d2a835fc553223c13fb6c5ba943686228c551d5f9d6"},"schema_version":"1.0","source":{"id":"1609.09830","kind":"arxiv","version":1}},"canonical_sha256":"8d94229d140cff8fd69768e5dd7142077982bb83677a5103b31ff000074c180f","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"8d94229d140cff8fd69768e5dd7142077982bb83677a5103b31ff000074c180f","first_computed_at":"2026-05-18T01:03:33.245896Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T01:03:33.245896Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"HuDBValyWSDdUAyJOetg6q66QwMLR6P7fE9QLe5oYe32BvNimO4dSEVRZ0HFM1nmt3fBbZWRBKTMXf87nmBeBA==","signature_status":"signed_v1","signed_at":"2026-05-18T01:03:33.246446Z","signed_message":"canonical_sha256_bytes"},"source_id":"1609.09830","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:a769a5fbf67888cf7b55f9638e652003888a91451d1abd8f6d86ee5b6e67a905","sha256:e1edecb3f26ae374d9919667525386268bf40d1bf8d2aa556a6638d97dc1e084"],"state_sha256":"7ff09ad6a51032c5f01dbd7bbfc237e28309565db0421a62d02a75f3d68f67db"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"N0568Ej4j2WBPUZQKzdTdqnDtJ9r2GulxrE+7pl47mPSOjDZu6D4HEQ/+wf48xaFMPPLIhj44laPreC0KyUEDQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-02T09:22:35.448298Z","bundle_sha256":"806bde33ea39fc92e62f61fadca7740ab806d9b338a8be2fcdd4e6c5c526f349"}}