{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2022:7CR5TQ6JAO53CU5462Z7HZGVOV","short_pith_number":"pith:7CR5TQ6J","canonical_record":{"source":{"id":"2210.05835","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2022-10-11T23:33:32Z","cross_cats_sorted":["cs.AI","cs.LG"],"title_canon_sha256":"2138be9dd3d2d95e705be78d9a1a05e6355c55b0c374f672918b28f5685c07cd","abstract_canon_sha256":"ea26c036c02ce4b898d7a2a74b0df89b9a9629cfccc0fab5d98d80b881ce3e6e"},"schema_version":"1.0"},"canonical_sha256":"f8a3d9c3c903bbb153bcf6b3f3e4d5756efc47b701b8a3770d3f384a78316691","source":{"kind":"arxiv","id":"2210.05835","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2210.05835","created_at":"2026-07-05T05:05:53Z"},{"alias_kind":"arxiv_version","alias_value":"2210.05835v1","created_at":"2026-07-05T05:05:53Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2210.05835","created_at":"2026-07-05T05:05:53Z"},{"alias_kind":"pith_short_12","alias_value":"7CR5TQ6JAO53","created_at":"2026-07-05T05:05:53Z"},{"alias_kind":"pith_short_16","alias_value":"7CR5TQ6JAO53CU54","created_at":"2026-07-05T05:05:53Z"},{"alias_kind":"pith_short_8","alias_value":"7CR5TQ6J","created_at":"2026-07-05T05:05:53Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2022:7CR5TQ6JAO53CU5462Z7HZGVOV","target":"record","payload":{"canonical_record":{"source":{"id":"2210.05835","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2022-10-11T23:33:32Z","cross_cats_sorted":["cs.AI","cs.LG"],"title_canon_sha256":"2138be9dd3d2d95e705be78d9a1a05e6355c55b0c374f672918b28f5685c07cd","abstract_canon_sha256":"ea26c036c02ce4b898d7a2a74b0df89b9a9629cfccc0fab5d98d80b881ce3e6e"},"schema_version":"1.0"},"canonical_sha256":"f8a3d9c3c903bbb153bcf6b3f3e4d5756efc47b701b8a3770d3f384a78316691","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T05:05:53.422737Z","signature_b64":"sXOfGbVnO+I8XUgcshi6T4EjaR5OdD5P+TMEUteXno+Wg13XUj+hkMQCkO3XR87q73WEa0Dx8bvIp7aCAPU9Ag==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"f8a3d9c3c903bbb153bcf6b3f3e4d5756efc47b701b8a3770d3f384a78316691","last_reissued_at":"2026-07-05T05:05:53.422281Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T05:05:53.422281Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2210.05835","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":"2026-07-05T05:05:53Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"O2CVY/Z8hwVuz+aarp+n2o2VFhZLJcIUQ2FUXEVmSvxrCw7pNI2+wSlQF8hJknoCzkNcFjzjTT8hex1iakH6Cg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-22T11:42:31.786575Z"},"content_sha256":"041a38934b368032ae3b9e72c16bb55dd300a45c6c2ae28949753da48936eabf","schema_version":"1.0","event_id":"sha256:041a38934b368032ae3b9e72c16bb55dd300a45c6c2ae28949753da48936eabf"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2022:7CR5TQ6JAO53CU5462Z7HZGVOV","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Synthetic Power Analyses: Empirical Evaluation and Application to Cognitive Neuroimaging","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI","cs.LG"],"primary_cat":"cs.CV","authors_text":"Bliss Chapman, Oluwasanmi Koyejo, Peiye Zhuang, Ran Li","submitted_at":"2022-10-11T23:33:32Z","abstract_excerpt":"In the experimental sciences, statistical power analyses are often used before data collection to determine the required sample size. However, traditional power analyses can be costly when data are difficult or expensive to collect. We propose synthetic power analyses; a framework for estimating statistical power at various sample sizes, and empirically explore the performance of synthetic power analysis for sample size selection in cognitive neuroscience experiments. To this end, brain imaging data is synthesized using an implicit generative model conditioned on observed cognitive processes. "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2210.05835","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/2210.05835/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":"2026-07-05T05:05:53Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"znxoUD0UUqFlhd+iAOEiIXrQCRE+/BCneZKUarHKXrusaP9vdAu2quArXUMTUB7CB+g+TOkGJzs0CkQxWX+qDQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-22T11:42:31.787135Z"},"content_sha256":"69a1bb9ff33c38deac1f71e4afec9c98be3327b2748dbf4368e27d5e9ce7066c","schema_version":"1.0","event_id":"sha256:69a1bb9ff33c38deac1f71e4afec9c98be3327b2748dbf4368e27d5e9ce7066c"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/7CR5TQ6JAO53CU5462Z7HZGVOV/bundle.json","state_url":"https://pith.science/pith/7CR5TQ6JAO53CU5462Z7HZGVOV/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/7CR5TQ6JAO53CU5462Z7HZGVOV/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":"2026-08-22T11:42:31Z","links":{"resolver":"https://pith.science/pith/7CR5TQ6JAO53CU5462Z7HZGVOV","bundle":"https://pith.science/pith/7CR5TQ6JAO53CU5462Z7HZGVOV/bundle.json","state":"https://pith.science/pith/7CR5TQ6JAO53CU5462Z7HZGVOV/state.json","well_known_bundle":"https://pith.science/.well-known/pith/7CR5TQ6JAO53CU5462Z7HZGVOV/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:7CR5TQ6JAO53CU5462Z7HZGVOV","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":"ea26c036c02ce4b898d7a2a74b0df89b9a9629cfccc0fab5d98d80b881ce3e6e","cross_cats_sorted":["cs.AI","cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2022-10-11T23:33:32Z","title_canon_sha256":"2138be9dd3d2d95e705be78d9a1a05e6355c55b0c374f672918b28f5685c07cd"},"schema_version":"1.0","source":{"id":"2210.05835","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2210.05835","created_at":"2026-07-05T05:05:53Z"},{"alias_kind":"arxiv_version","alias_value":"2210.05835v1","created_at":"2026-07-05T05:05:53Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2210.05835","created_at":"2026-07-05T05:05:53Z"},{"alias_kind":"pith_short_12","alias_value":"7CR5TQ6JAO53","created_at":"2026-07-05T05:05:53Z"},{"alias_kind":"pith_short_16","alias_value":"7CR5TQ6JAO53CU54","created_at":"2026-07-05T05:05:53Z"},{"alias_kind":"pith_short_8","alias_value":"7CR5TQ6J","created_at":"2026-07-05T05:05:53Z"}],"graph_snapshots":[{"event_id":"sha256:69a1bb9ff33c38deac1f71e4afec9c98be3327b2748dbf4368e27d5e9ce7066c","target":"graph","created_at":"2026-07-05T05:05:53Z","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/2210.05835/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"In the experimental sciences, statistical power analyses are often used before data collection to determine the required sample size. However, traditional power analyses can be costly when data are difficult or expensive to collect. We propose synthetic power analyses; a framework for estimating statistical power at various sample sizes, and empirically explore the performance of synthetic power analysis for sample size selection in cognitive neuroscience experiments. To this end, brain imaging data is synthesized using an implicit generative model conditioned on observed cognitive processes. ","authors_text":"Bliss Chapman, Oluwasanmi Koyejo, Peiye Zhuang, Ran Li","cross_cats":["cs.AI","cs.LG"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2022-10-11T23:33:32Z","title":"Synthetic Power Analyses: Empirical Evaluation and Application to Cognitive Neuroimaging"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2210.05835","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":"sha256:041a38934b368032ae3b9e72c16bb55dd300a45c6c2ae28949753da48936eabf","target":"record","created_at":"2026-07-05T05:05:53Z","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":"ea26c036c02ce4b898d7a2a74b0df89b9a9629cfccc0fab5d98d80b881ce3e6e","cross_cats_sorted":["cs.AI","cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2022-10-11T23:33:32Z","title_canon_sha256":"2138be9dd3d2d95e705be78d9a1a05e6355c55b0c374f672918b28f5685c07cd"},"schema_version":"1.0","source":{"id":"2210.05835","kind":"arxiv","version":1}},"canonical_sha256":"f8a3d9c3c903bbb153bcf6b3f3e4d5756efc47b701b8a3770d3f384a78316691","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"f8a3d9c3c903bbb153bcf6b3f3e4d5756efc47b701b8a3770d3f384a78316691","first_computed_at":"2026-07-05T05:05:53.422281Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T05:05:53.422281Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"sXOfGbVnO+I8XUgcshi6T4EjaR5OdD5P+TMEUteXno+Wg13XUj+hkMQCkO3XR87q73WEa0Dx8bvIp7aCAPU9Ag==","signature_status":"signed_v1","signed_at":"2026-07-05T05:05:53.422737Z","signed_message":"canonical_sha256_bytes"},"source_id":"2210.05835","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:041a38934b368032ae3b9e72c16bb55dd300a45c6c2ae28949753da48936eabf","sha256:69a1bb9ff33c38deac1f71e4afec9c98be3327b2748dbf4368e27d5e9ce7066c"],"state_sha256":"b2b24449128917d4a9f2a988151e54c1e49440742871ae793463f6677e0f9977"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"FkntdiAXCD8+pdDvN7sil/DfJ4xYDN8NJhCrwyu/a27aSv5H6ROR6WI4arlu3Wx+PcPfvIlwrAKpzblw0KYPAA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-22T11:42:31.793760Z","bundle_sha256":"73bb7078a5d1705c648ed9320ec2128c40a91d13acf7229b364b79c6f80fe08c"}}