{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2019:CNDYJQTQEGFEETXGRUXPMO5MDC","short_pith_number":"pith:CNDYJQTQ","canonical_record":{"source":{"id":"1903.12071","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CY","submitted_at":"2019-03-12T20:47:29Z","cross_cats_sorted":["cs.AI","cs.LG"],"title_canon_sha256":"645de54442ce48ed45f5273aec0a1483ddbdc325b8b0a3c69baea8079562d2f4","abstract_canon_sha256":"2e1c62e3101ad663aa1d423df64df4e2bce689cd477bd03dd8aee4b100c66d99"},"schema_version":"1.0"},"canonical_sha256":"134784c270218a424ee68d2ef63bac188cafa62b48db0f44461c395023bf4dc7","source":{"kind":"arxiv","id":"1903.12071","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1903.12071","created_at":"2026-05-17T23:49:58Z"},{"alias_kind":"arxiv_version","alias_value":"1903.12071v1","created_at":"2026-05-17T23:49:58Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1903.12071","created_at":"2026-05-17T23:49:58Z"},{"alias_kind":"pith_short_12","alias_value":"CNDYJQTQEGFE","created_at":"2026-05-18T12:33:15Z"},{"alias_kind":"pith_short_16","alias_value":"CNDYJQTQEGFEETXG","created_at":"2026-05-18T12:33:15Z"},{"alias_kind":"pith_short_8","alias_value":"CNDYJQTQ","created_at":"2026-05-18T12:33:15Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2019:CNDYJQTQEGFEETXGRUXPMO5MDC","target":"record","payload":{"canonical_record":{"source":{"id":"1903.12071","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CY","submitted_at":"2019-03-12T20:47:29Z","cross_cats_sorted":["cs.AI","cs.LG"],"title_canon_sha256":"645de54442ce48ed45f5273aec0a1483ddbdc325b8b0a3c69baea8079562d2f4","abstract_canon_sha256":"2e1c62e3101ad663aa1d423df64df4e2bce689cd477bd03dd8aee4b100c66d99"},"schema_version":"1.0"},"canonical_sha256":"134784c270218a424ee68d2ef63bac188cafa62b48db0f44461c395023bf4dc7","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-17T23:49:58.142701Z","signature_b64":"4bJRlZoBaYy+KEcf4d8xewt1QHmxmhKcUj2SztpmQM73w+BPHMDDfTNzT9g5J+1XXCLUBmcV2VVcwsMJKXP6DA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"134784c270218a424ee68d2ef63bac188cafa62b48db0f44461c395023bf4dc7","last_reissued_at":"2026-05-17T23:49:58.142027Z","signature_status":"signed_v1","first_computed_at":"2026-05-17T23:49:58.142027Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1903.12071","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":"2026-05-17T23:49:58Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ABJgtC6tAH2PtYC0Rty2+et+aXz62CQCl8U4jo5UuJjdUgaFTXXW9Wp+SqTgqXXBH9w46NiMevKANywYu4kGDg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-11T22:56:51.343058Z"},"content_sha256":"4254adceda58e2c26d947b7decb9f22588688a44ce8dc1f0c18914afb9e001a2","schema_version":"1.0","event_id":"sha256:4254adceda58e2c26d947b7decb9f22588688a44ce8dc1f0c18914afb9e001a2"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2019:CNDYJQTQEGFEETXGRUXPMO5MDC","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Big Data Analytics and AI in Mental Healthcare","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI","cs.LG"],"primary_cat":"cs.CY","authors_text":"Akiva Kleinerman, Amit Yaniv-Rosenfeld, Ariel Rosenfeld, Bechara Saab, Caitrin Armstrong, Cheryl Gabbay, Colleen Rollins, David Benrimoh, Emily Snook, Joseph Mehltretter, Kelly Perlman, Mark Thoburn, Myriam Tanguay-Sela, Nykan Mirchi, Robert Fratila, Sonia Israel, Timothe Langlois-Therrien","submitted_at":"2019-03-12T20:47:29Z","abstract_excerpt":"Mental health conditions cause a great deal of distress or impairment; depression alone will affect 11% of the world's population. The application of Artificial Intelligence (AI) and big-data technologies to mental health has great potential for personalizing treatment selection, prognosticating, monitoring for relapse, detecting and helping to prevent mental health conditions before they reach clinical-level symptomatology, and even delivering some treatments. However, unlike similar applications in other fields of medicine, there are several unique challenges in mental health applications wh"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1903.12071","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":"2026-05-17T23:49:58Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"R6QnO+QYQ3b5BXtOeqNGJ8lSX8gkljSUzahZ2lFfbzjkr6KY5U9BFhi69p3YX1I3ibSxSQftPMkBT4Cq7sMgCw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-11T22:56:51.343801Z"},"content_sha256":"719c76585be1491756e29e8528698d56e89be6fb57bb519b094b73c1a3e34e52","schema_version":"1.0","event_id":"sha256:719c76585be1491756e29e8528698d56e89be6fb57bb519b094b73c1a3e34e52"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/CNDYJQTQEGFEETXGRUXPMO5MDC/bundle.json","state_url":"https://pith.science/pith/CNDYJQTQEGFEETXGRUXPMO5MDC/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/CNDYJQTQEGFEETXGRUXPMO5MDC/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":"2026-06-11T22:56:51Z","links":{"resolver":"https://pith.science/pith/CNDYJQTQEGFEETXGRUXPMO5MDC","bundle":"https://pith.science/pith/CNDYJQTQEGFEETXGRUXPMO5MDC/bundle.json","state":"https://pith.science/pith/CNDYJQTQEGFEETXGRUXPMO5MDC/state.json","well_known_bundle":"https://pith.science/.well-known/pith/CNDYJQTQEGFEETXGRUXPMO5MDC/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2019:CNDYJQTQEGFEETXGRUXPMO5MDC","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":"2e1c62e3101ad663aa1d423df64df4e2bce689cd477bd03dd8aee4b100c66d99","cross_cats_sorted":["cs.AI","cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CY","submitted_at":"2019-03-12T20:47:29Z","title_canon_sha256":"645de54442ce48ed45f5273aec0a1483ddbdc325b8b0a3c69baea8079562d2f4"},"schema_version":"1.0","source":{"id":"1903.12071","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1903.12071","created_at":"2026-05-17T23:49:58Z"},{"alias_kind":"arxiv_version","alias_value":"1903.12071v1","created_at":"2026-05-17T23:49:58Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1903.12071","created_at":"2026-05-17T23:49:58Z"},{"alias_kind":"pith_short_12","alias_value":"CNDYJQTQEGFE","created_at":"2026-05-18T12:33:15Z"},{"alias_kind":"pith_short_16","alias_value":"CNDYJQTQEGFEETXG","created_at":"2026-05-18T12:33:15Z"},{"alias_kind":"pith_short_8","alias_value":"CNDYJQTQ","created_at":"2026-05-18T12:33:15Z"}],"graph_snapshots":[{"event_id":"sha256:719c76585be1491756e29e8528698d56e89be6fb57bb519b094b73c1a3e34e52","target":"graph","created_at":"2026-05-17T23:49:58Z","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":"Mental health conditions cause a great deal of distress or impairment; depression alone will affect 11% of the world's population. The application of Artificial Intelligence (AI) and big-data technologies to mental health has great potential for personalizing treatment selection, prognosticating, monitoring for relapse, detecting and helping to prevent mental health conditions before they reach clinical-level symptomatology, and even delivering some treatments. However, unlike similar applications in other fields of medicine, there are several unique challenges in mental health applications wh","authors_text":"Akiva Kleinerman, Amit Yaniv-Rosenfeld, Ariel Rosenfeld, Bechara Saab, Caitrin Armstrong, Cheryl Gabbay, Colleen Rollins, David Benrimoh, Emily Snook, Joseph Mehltretter, Kelly Perlman, Mark Thoburn, Myriam Tanguay-Sela, Nykan Mirchi, Robert Fratila, Sonia Israel, Timothe Langlois-Therrien","cross_cats":["cs.AI","cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CY","submitted_at":"2019-03-12T20:47:29Z","title":"Big Data Analytics and AI in Mental Healthcare"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1903.12071","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":"sha256:4254adceda58e2c26d947b7decb9f22588688a44ce8dc1f0c18914afb9e001a2","target":"record","created_at":"2026-05-17T23:49:58Z","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":"2e1c62e3101ad663aa1d423df64df4e2bce689cd477bd03dd8aee4b100c66d99","cross_cats_sorted":["cs.AI","cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CY","submitted_at":"2019-03-12T20:47:29Z","title_canon_sha256":"645de54442ce48ed45f5273aec0a1483ddbdc325b8b0a3c69baea8079562d2f4"},"schema_version":"1.0","source":{"id":"1903.12071","kind":"arxiv","version":1}},"canonical_sha256":"134784c270218a424ee68d2ef63bac188cafa62b48db0f44461c395023bf4dc7","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"134784c270218a424ee68d2ef63bac188cafa62b48db0f44461c395023bf4dc7","first_computed_at":"2026-05-17T23:49:58.142027Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-17T23:49:58.142027Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"4bJRlZoBaYy+KEcf4d8xewt1QHmxmhKcUj2SztpmQM73w+BPHMDDfTNzT9g5J+1XXCLUBmcV2VVcwsMJKXP6DA==","signature_status":"signed_v1","signed_at":"2026-05-17T23:49:58.142701Z","signed_message":"canonical_sha256_bytes"},"source_id":"1903.12071","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:4254adceda58e2c26d947b7decb9f22588688a44ce8dc1f0c18914afb9e001a2","sha256:719c76585be1491756e29e8528698d56e89be6fb57bb519b094b73c1a3e34e52"],"state_sha256":"24001483e2bdd6a6714c07bb66752f50df54d352999e5fe80cb21a4b9156c222"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"QSrBwcgEYW+eKVfV2XmE2168vsfEyNAi9yE2LoNQTnoMU9NU9MQFdSv4PBZ5e5T2F/QrQTxYoClgsJ0pEwCNBw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-11T22:56:51.348638Z","bundle_sha256":"84aefd674c4336255e9c51685cf81d47813187074fdef984e0dd1f4fec93a3ab"}}