{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:SUJA6MWABTZGKNCDB54CMD5QC4","short_pith_number":"pith:SUJA6MWA","canonical_record":{"source":{"id":"2505.05396","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2025-05-08T16:32:55Z","cross_cats_sorted":["cs.HC","cs.LG"],"title_canon_sha256":"c72e8142458a09f42f1515b4d6a82fb8b139be17b29b011afa9d28ff0848ee6d","abstract_canon_sha256":"9b960b0a6677303a3494d702d4fb9645a716d65ce7d75727e2cc757ad9850842"},"schema_version":"1.0"},"canonical_sha256":"95120f32c00cf26534430f78260fb01733bcc83ea02980cd6c192fd0f14a1aa3","source":{"kind":"arxiv","id":"2505.05396","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2505.05396","created_at":"2026-07-05T11:01:36Z"},{"alias_kind":"arxiv_version","alias_value":"2505.05396v2","created_at":"2026-07-05T11:01:36Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2505.05396","created_at":"2026-07-05T11:01:36Z"},{"alias_kind":"pith_short_12","alias_value":"SUJA6MWABTZG","created_at":"2026-07-05T11:01:36Z"},{"alias_kind":"pith_short_16","alias_value":"SUJA6MWABTZGKNCD","created_at":"2026-07-05T11:01:36Z"},{"alias_kind":"pith_short_8","alias_value":"SUJA6MWA","created_at":"2026-07-05T11:01:36Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:SUJA6MWABTZGKNCDB54CMD5QC4","target":"record","payload":{"canonical_record":{"source":{"id":"2505.05396","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2025-05-08T16:32:55Z","cross_cats_sorted":["cs.HC","cs.LG"],"title_canon_sha256":"c72e8142458a09f42f1515b4d6a82fb8b139be17b29b011afa9d28ff0848ee6d","abstract_canon_sha256":"9b960b0a6677303a3494d702d4fb9645a716d65ce7d75727e2cc757ad9850842"},"schema_version":"1.0"},"canonical_sha256":"95120f32c00cf26534430f78260fb01733bcc83ea02980cd6c192fd0f14a1aa3","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:01:36.888141Z","signature_b64":"idXJIna5qm9Gvmb/H74lYYn7ZCm5Afd//M5NQZpkrkRXkUlIs2Fd9Fv4cmTELuvurZmFDnt5B/GcGiNG76bCDw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"95120f32c00cf26534430f78260fb01733bcc83ea02980cd6c192fd0f14a1aa3","last_reissued_at":"2026-07-05T11:01:36.887679Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:01:36.887679Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2505.05396","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T11:01:36Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"8uvxT+HL8+Q2wsjuJ+0yoSvalsxenwiRqwIrnVZ2E/O8t0I4Fv9u0gt7NAnvC9gUogqEnzchoHvr4SvH0sGICg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-05T12:57:22.136864Z"},"content_sha256":"c7b94885ab8d26abf11b6bb7a6e095ac86593cd32d276a725d462f9f0c8fcc0b","schema_version":"1.0","event_id":"sha256:c7b94885ab8d26abf11b6bb7a6e095ac86593cd32d276a725d462f9f0c8fcc0b"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:SUJA6MWABTZGKNCDB54CMD5QC4","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"A Pain Assessment Framework based on multimodal data and Deep Machine Learning methods","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.HC","cs.LG"],"primary_cat":"cs.AI","authors_text":"Stefanos Gkikas","submitted_at":"2025-05-08T16:32:55Z","abstract_excerpt":"From the original abstract: This thesis initially aims to study the pain assessment process from a clinical-theoretical perspective while exploring and examining existing automatic approaches. Building on this foundation, the primary objective of this Ph.D. project is to develop innovative computational methods for automatic pain assessment that achieve high performance and are applicable in real clinical settings. A primary goal is to thoroughly investigate and assess significant factors, including demographic elements that impact pain perception, as recognized in pain research, through a com"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2505.05396","kind":"arxiv","version":2},"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/2505.05396/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":"2026-07-05T11:01:36Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"hBSURCdkqhplGbs9XK2XPYlfGUheKvFPrBP3wbdt6pdFSwM7e4uKcThqvoBsej/zkoTGpNiwaabmxJDD858rBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-05T12:57:22.137667Z"},"content_sha256":"8694e66421b01e8565812597174e1e0b2ba42f5aceaa072bde83e622cc4f8ffa","schema_version":"1.0","event_id":"sha256:8694e66421b01e8565812597174e1e0b2ba42f5aceaa072bde83e622cc4f8ffa"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/SUJA6MWABTZGKNCDB54CMD5QC4/bundle.json","state_url":"https://pith.science/pith/SUJA6MWABTZGKNCDB54CMD5QC4/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/SUJA6MWABTZGKNCDB54CMD5QC4/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":"2026-08-05T12:57:22Z","links":{"resolver":"https://pith.science/pith/SUJA6MWABTZGKNCDB54CMD5QC4","bundle":"https://pith.science/pith/SUJA6MWABTZGKNCDB54CMD5QC4/bundle.json","state":"https://pith.science/pith/SUJA6MWABTZGKNCDB54CMD5QC4/state.json","well_known_bundle":"https://pith.science/.well-known/pith/SUJA6MWABTZGKNCDB54CMD5QC4/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:SUJA6MWABTZGKNCDB54CMD5QC4","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":"9b960b0a6677303a3494d702d4fb9645a716d65ce7d75727e2cc757ad9850842","cross_cats_sorted":["cs.HC","cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2025-05-08T16:32:55Z","title_canon_sha256":"c72e8142458a09f42f1515b4d6a82fb8b139be17b29b011afa9d28ff0848ee6d"},"schema_version":"1.0","source":{"id":"2505.05396","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2505.05396","created_at":"2026-07-05T11:01:36Z"},{"alias_kind":"arxiv_version","alias_value":"2505.05396v2","created_at":"2026-07-05T11:01:36Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2505.05396","created_at":"2026-07-05T11:01:36Z"},{"alias_kind":"pith_short_12","alias_value":"SUJA6MWABTZG","created_at":"2026-07-05T11:01:36Z"},{"alias_kind":"pith_short_16","alias_value":"SUJA6MWABTZGKNCD","created_at":"2026-07-05T11:01:36Z"},{"alias_kind":"pith_short_8","alias_value":"SUJA6MWA","created_at":"2026-07-05T11:01:36Z"}],"graph_snapshots":[{"event_id":"sha256:8694e66421b01e8565812597174e1e0b2ba42f5aceaa072bde83e622cc4f8ffa","target":"graph","created_at":"2026-07-05T11:01:36Z","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/2505.05396/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"From the original abstract: This thesis initially aims to study the pain assessment process from a clinical-theoretical perspective while exploring and examining existing automatic approaches. Building on this foundation, the primary objective of this Ph.D. project is to develop innovative computational methods for automatic pain assessment that achieve high performance and are applicable in real clinical settings. A primary goal is to thoroughly investigate and assess significant factors, including demographic elements that impact pain perception, as recognized in pain research, through a com","authors_text":"Stefanos Gkikas","cross_cats":["cs.HC","cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2025-05-08T16:32:55Z","title":"A Pain Assessment Framework based on multimodal data and Deep Machine Learning methods"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2505.05396","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:c7b94885ab8d26abf11b6bb7a6e095ac86593cd32d276a725d462f9f0c8fcc0b","target":"record","created_at":"2026-07-05T11:01:36Z","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":"9b960b0a6677303a3494d702d4fb9645a716d65ce7d75727e2cc757ad9850842","cross_cats_sorted":["cs.HC","cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2025-05-08T16:32:55Z","title_canon_sha256":"c72e8142458a09f42f1515b4d6a82fb8b139be17b29b011afa9d28ff0848ee6d"},"schema_version":"1.0","source":{"id":"2505.05396","kind":"arxiv","version":2}},"canonical_sha256":"95120f32c00cf26534430f78260fb01733bcc83ea02980cd6c192fd0f14a1aa3","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"95120f32c00cf26534430f78260fb01733bcc83ea02980cd6c192fd0f14a1aa3","first_computed_at":"2026-07-05T11:01:36.887679Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:01:36.887679Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"idXJIna5qm9Gvmb/H74lYYn7ZCm5Afd//M5NQZpkrkRXkUlIs2Fd9Fv4cmTELuvurZmFDnt5B/GcGiNG76bCDw==","signature_status":"signed_v1","signed_at":"2026-07-05T11:01:36.888141Z","signed_message":"canonical_sha256_bytes"},"source_id":"2505.05396","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:c7b94885ab8d26abf11b6bb7a6e095ac86593cd32d276a725d462f9f0c8fcc0b","sha256:8694e66421b01e8565812597174e1e0b2ba42f5aceaa072bde83e622cc4f8ffa"],"state_sha256":"b6116a6ce3e5dc0afd087ef682a9553b50994f0791762699a2114322c217ffc3"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"SA7ezNfYjiqTs1MFT1/kiopbDqkcbnqfx2pmgUJj2lzJFPqYn0LU1AT6cdhZCNDxhgOwRmTJ5Ortu4ZbhEa4Ag==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-05T12:57:22.143050Z","bundle_sha256":"8febecc71c3ca6edf74f61cd7ba11f4b96c6283c0208cb73575a0b03dabbe819"}}