{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2017:F2OJ5IDK6LU74LG43LHBW6V2CZ","short_pith_number":"pith:F2OJ5IDK","canonical_record":{"source":{"id":"1711.04036","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2017-11-10T22:36:27Z","cross_cats_sorted":["cs.HC"],"title_canon_sha256":"5127daf25b364733ec3398d47f62d86c682de73bf896c43a8308669ff09f30db","abstract_canon_sha256":"e44a92fc10d77a3ff748bada0e827421594a14a2fa094706b4dffa087a6de56b"},"schema_version":"1.0"},"canonical_sha256":"2e9c9ea06af2e9fe2cdcdace1b7aba166667864dd1b021a4e54bad33110550ad","source":{"kind":"arxiv","id":"1711.04036","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1711.04036","created_at":"2026-05-18T00:30:39Z"},{"alias_kind":"arxiv_version","alias_value":"1711.04036v1","created_at":"2026-05-18T00:30:39Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1711.04036","created_at":"2026-05-18T00:30:39Z"},{"alias_kind":"pith_short_12","alias_value":"F2OJ5IDK6LU7","created_at":"2026-05-18T12:31:12Z"},{"alias_kind":"pith_short_16","alias_value":"F2OJ5IDK6LU74LG4","created_at":"2026-05-18T12:31:12Z"},{"alias_kind":"pith_short_8","alias_value":"F2OJ5IDK","created_at":"2026-05-18T12:31:12Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2017:F2OJ5IDK6LU74LG43LHBW6V2CZ","target":"record","payload":{"canonical_record":{"source":{"id":"1711.04036","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2017-11-10T22:36:27Z","cross_cats_sorted":["cs.HC"],"title_canon_sha256":"5127daf25b364733ec3398d47f62d86c682de73bf896c43a8308669ff09f30db","abstract_canon_sha256":"e44a92fc10d77a3ff748bada0e827421594a14a2fa094706b4dffa087a6de56b"},"schema_version":"1.0"},"canonical_sha256":"2e9c9ea06af2e9fe2cdcdace1b7aba166667864dd1b021a4e54bad33110550ad","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:30:39.982399Z","signature_b64":"Xznu9X4Rg564HSE2iP2o8HK33jVyAYMz+lBHUZXkZFzQ7H6aCV/jSsLha6AgUvWxP/Oqp6WmhBHZsmt1RI9xCA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"2e9c9ea06af2e9fe2cdcdace1b7aba166667864dd1b021a4e54bad33110550ad","last_reissued_at":"2026-05-18T00:30:39.981746Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:30:39.981746Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1711.04036","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":"2026-05-18T00:30:39Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"J5hEfeyZ19+Bk6JRe28Wi4178YRldMBsxp85KQszVppLlzQ2SafVjZWaTM44AqTIbmwMQ40hofKBwHwYkL88Bg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-06T20:08:23.518805Z"},"content_sha256":"11bbb12becac7cf90ca900778d6ab92ff306248ff38c3c12e851c85b2d3b90fb","schema_version":"1.0","event_id":"sha256:11bbb12becac7cf90ca900778d6ab92ff306248ff38c3c12e851c85b2d3b90fb"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2017:F2OJ5IDK6LU74LG43LHBW6V2CZ","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Physiological and behavioral profiling for nociceptive pain estimation using personalized multitask learning","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.HC"],"primary_cat":"cs.AI","authors_text":"Daniel Lopez-Martinez, Ognjen Rudovic, Rosalind Picard","submitted_at":"2017-11-10T22:36:27Z","abstract_excerpt":"Pain is a subjective experience commonly measured through patient's self report. While there exist numerous situations in which automatic pain estimation methods may be preferred, inter-subject variability in physiological and behavioral pain responses has hindered the development of such methods. In this work, we address this problem by introducing a novel personalized multitask machine learning method for pain estimation based on individual physiological and behavioral pain response profiles, and show its advantages in a dataset containing multimodal responses to nociceptive heat pain."},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1711.04036","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":"2026-05-18T00:30:39Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ISf6XAW83DPnsN0HAc7fFQH3uldJZqvYVt/T/RcDEsjWKxoVm78+qm1WE8KRKj88HcrI9h/1fgz9R/eKOuhbAA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-06T20:08:23.519413Z"},"content_sha256":"1be36c62ed9a90c17fa8d73ab93fbded39ee090e579639b971abfb0b468affd0","schema_version":"1.0","event_id":"sha256:1be36c62ed9a90c17fa8d73ab93fbded39ee090e579639b971abfb0b468affd0"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/F2OJ5IDK6LU74LG43LHBW6V2CZ/bundle.json","state_url":"https://pith.science/pith/F2OJ5IDK6LU74LG43LHBW6V2CZ/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/F2OJ5IDK6LU74LG43LHBW6V2CZ/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":"2026-06-06T20:08:23Z","links":{"resolver":"https://pith.science/pith/F2OJ5IDK6LU74LG43LHBW6V2CZ","bundle":"https://pith.science/pith/F2OJ5IDK6LU74LG43LHBW6V2CZ/bundle.json","state":"https://pith.science/pith/F2OJ5IDK6LU74LG43LHBW6V2CZ/state.json","well_known_bundle":"https://pith.science/.well-known/pith/F2OJ5IDK6LU74LG43LHBW6V2CZ/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2017:F2OJ5IDK6LU74LG43LHBW6V2CZ","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":"e44a92fc10d77a3ff748bada0e827421594a14a2fa094706b4dffa087a6de56b","cross_cats_sorted":["cs.HC"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2017-11-10T22:36:27Z","title_canon_sha256":"5127daf25b364733ec3398d47f62d86c682de73bf896c43a8308669ff09f30db"},"schema_version":"1.0","source":{"id":"1711.04036","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1711.04036","created_at":"2026-05-18T00:30:39Z"},{"alias_kind":"arxiv_version","alias_value":"1711.04036v1","created_at":"2026-05-18T00:30:39Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1711.04036","created_at":"2026-05-18T00:30:39Z"},{"alias_kind":"pith_short_12","alias_value":"F2OJ5IDK6LU7","created_at":"2026-05-18T12:31:12Z"},{"alias_kind":"pith_short_16","alias_value":"F2OJ5IDK6LU74LG4","created_at":"2026-05-18T12:31:12Z"},{"alias_kind":"pith_short_8","alias_value":"F2OJ5IDK","created_at":"2026-05-18T12:31:12Z"}],"graph_snapshots":[{"event_id":"sha256:1be36c62ed9a90c17fa8d73ab93fbded39ee090e579639b971abfb0b468affd0","target":"graph","created_at":"2026-05-18T00:30:39Z","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":"Pain is a subjective experience commonly measured through patient's self report. While there exist numerous situations in which automatic pain estimation methods may be preferred, inter-subject variability in physiological and behavioral pain responses has hindered the development of such methods. In this work, we address this problem by introducing a novel personalized multitask machine learning method for pain estimation based on individual physiological and behavioral pain response profiles, and show its advantages in a dataset containing multimodal responses to nociceptive heat pain.","authors_text":"Daniel Lopez-Martinez, Ognjen Rudovic, Rosalind Picard","cross_cats":["cs.HC"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2017-11-10T22:36:27Z","title":"Physiological and behavioral profiling for nociceptive pain estimation using personalized multitask learning"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1711.04036","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":"sha256:11bbb12becac7cf90ca900778d6ab92ff306248ff38c3c12e851c85b2d3b90fb","target":"record","created_at":"2026-05-18T00:30:39Z","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":"e44a92fc10d77a3ff748bada0e827421594a14a2fa094706b4dffa087a6de56b","cross_cats_sorted":["cs.HC"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2017-11-10T22:36:27Z","title_canon_sha256":"5127daf25b364733ec3398d47f62d86c682de73bf896c43a8308669ff09f30db"},"schema_version":"1.0","source":{"id":"1711.04036","kind":"arxiv","version":1}},"canonical_sha256":"2e9c9ea06af2e9fe2cdcdace1b7aba166667864dd1b021a4e54bad33110550ad","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"2e9c9ea06af2e9fe2cdcdace1b7aba166667864dd1b021a4e54bad33110550ad","first_computed_at":"2026-05-18T00:30:39.981746Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:30:39.981746Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"Xznu9X4Rg564HSE2iP2o8HK33jVyAYMz+lBHUZXkZFzQ7H6aCV/jSsLha6AgUvWxP/Oqp6WmhBHZsmt1RI9xCA==","signature_status":"signed_v1","signed_at":"2026-05-18T00:30:39.982399Z","signed_message":"canonical_sha256_bytes"},"source_id":"1711.04036","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:11bbb12becac7cf90ca900778d6ab92ff306248ff38c3c12e851c85b2d3b90fb","sha256:1be36c62ed9a90c17fa8d73ab93fbded39ee090e579639b971abfb0b468affd0"],"state_sha256":"62234aebd3f6ecb132b2e3a1faaba9a0a7fe71a743421db2a06af7935120c69f"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"qx1D73UgvSy19CmJ1tWd/Lk5/+eazhVaI9z3JIiuzZVedHT2jmPuD5rNaShaom72YAkI/eokOOrvcJ4u6v7/BQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-06T20:08:23.522511Z","bundle_sha256":"5ab22ac6480af39be8ca43783bd796119550aeae93aae4cfb6ea572151484cd0"}}