{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:KXZ5VM5E3A3VZPOSEXPBU7W5IM","short_pith_number":"pith:KXZ5VM5E","canonical_record":{"source":{"id":"2608.08056","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2026-08-08T10:43:38Z","cross_cats_sorted":[],"title_canon_sha256":"6d48a8424e62d0b80873bbcfb7b7a8f9395a63ef2b4adce7738022d7e0aaaf1a","abstract_canon_sha256":"690004fd829002adefda0acc5e8cb7f9befd4f6d3850d3c1ecfd7811b4e282fd"},"schema_version":"1.0"},"canonical_sha256":"55f3dab3a4d8375cbdd225de1a7edd43142ca20441ac38a0a06e7f3698173dfa","source":{"kind":"arxiv","id":"2608.08056","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2608.08056","created_at":"2026-08-11T01:21:33Z"},{"alias_kind":"arxiv_version","alias_value":"2608.08056v1","created_at":"2026-08-11T01:21:33Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2608.08056","created_at":"2026-08-11T01:21:33Z"},{"alias_kind":"pith_short_12","alias_value":"KXZ5VM5E3A3V","created_at":"2026-08-11T01:21:33Z"},{"alias_kind":"pith_short_16","alias_value":"KXZ5VM5E3A3VZPOS","created_at":"2026-08-11T01:21:33Z"},{"alias_kind":"pith_short_8","alias_value":"KXZ5VM5E","created_at":"2026-08-11T01:21:33Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:KXZ5VM5E3A3VZPOSEXPBU7W5IM","target":"record","payload":{"canonical_record":{"source":{"id":"2608.08056","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2026-08-08T10:43:38Z","cross_cats_sorted":[],"title_canon_sha256":"6d48a8424e62d0b80873bbcfb7b7a8f9395a63ef2b4adce7738022d7e0aaaf1a","abstract_canon_sha256":"690004fd829002adefda0acc5e8cb7f9befd4f6d3850d3c1ecfd7811b4e282fd"},"schema_version":"1.0"},"canonical_sha256":"55f3dab3a4d8375cbdd225de1a7edd43142ca20441ac38a0a06e7f3698173dfa","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-08-11T01:21:33.943952Z","signature_b64":"bHnl5cAmvGurnyhCPYUTyBj3/4GlXeWPysxYXpC0/zNipj0tSoXuhXW6U4nwQa+03fML1cKfrg6syM6t54iNCw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"55f3dab3a4d8375cbdd225de1a7edd43142ca20441ac38a0a06e7f3698173dfa","last_reissued_at":"2026-08-11T01:21:33.941409Z","signature_status":"signed_v1","first_computed_at":"2026-08-11T01:21:33.941409Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2608.08056","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":"2026-08-11T01:21:33Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"+vyM9pNft4hizsbG2or1OCHa8DsbjaPFKWVAPwGoLPfWzZ2LscEzcLr2+TRy0CL7udeKH+SjVIJ+KCDlQAz0Cg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-21T10:21:45.766101Z"},"content_sha256":"e1160d4a192f158d0df94899b0f24750490040b491b30ac5cfdd1db2812e24d6","schema_version":"1.0","event_id":"sha256:e1160d4a192f158d0df94899b0f24750490040b491b30ac5cfdd1db2812e24d6"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:KXZ5VM5E3A3VZPOSEXPBU7W5IM","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"H2: A Dual Hybrid Semantic Data Lake Architecture for Medical Data Harmonization with Human-In-the-Loop verified, LLM Driven Metadata Annotation System","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.AI","authors_text":"Agapi Davradou, Anastasios Doulamis, Dimitrios Kalogeras, Georgia Kapetadimitri, Ioannis N. Tzortzis, Ioannis Rallis, Nefeli Kousta, Nikolaos Bakalos, Nikolaos Doulamis","submitted_at":"2026-08-08T10:43:38Z","abstract_excerpt":"Medical data, by its nature, exhibit a high degree of heterogeneity on multiple levels ranging from (a) different modalities like images, text and time series, (b) diverse tabular schemata introduced by institutions and (c) completely unstructured textual information data provided by healthcare professionals. Data lakes are often used in medical data storage to consolidate all heterogeneous diverse data in a single, central location, where it can be saved \"as is\", without the need to impose a schema like a data warehouse does. Despite their flexibility, though, data lakes are notorious for the"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2608.08056","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/2608.08056/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":"2026-08-11T01:21:33Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"NAm0z15Of6EzWXuAxpgwtvKcpidcPeUJuszvZVCjMmJI9HmiecYeCnMXe1xqXflY86ztfcbe9dB6MQ6iXDCCDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-21T10:21:45.766665Z"},"content_sha256":"14746416f8a131bb0ccde57c532276481c2a24b90875ba8316f3ef8ef1acbf9a","schema_version":"1.0","event_id":"sha256:14746416f8a131bb0ccde57c532276481c2a24b90875ba8316f3ef8ef1acbf9a"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/KXZ5VM5E3A3VZPOSEXPBU7W5IM/bundle.json","state_url":"https://pith.science/pith/KXZ5VM5E3A3VZPOSEXPBU7W5IM/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/KXZ5VM5E3A3VZPOSEXPBU7W5IM/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":"2026-08-21T10:21:45Z","links":{"resolver":"https://pith.science/pith/KXZ5VM5E3A3VZPOSEXPBU7W5IM","bundle":"https://pith.science/pith/KXZ5VM5E3A3VZPOSEXPBU7W5IM/bundle.json","state":"https://pith.science/pith/KXZ5VM5E3A3VZPOSEXPBU7W5IM/state.json","well_known_bundle":"https://pith.science/.well-known/pith/KXZ5VM5E3A3VZPOSEXPBU7W5IM/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:KXZ5VM5E3A3VZPOSEXPBU7W5IM","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":"690004fd829002adefda0acc5e8cb7f9befd4f6d3850d3c1ecfd7811b4e282fd","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2026-08-08T10:43:38Z","title_canon_sha256":"6d48a8424e62d0b80873bbcfb7b7a8f9395a63ef2b4adce7738022d7e0aaaf1a"},"schema_version":"1.0","source":{"id":"2608.08056","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2608.08056","created_at":"2026-08-11T01:21:33Z"},{"alias_kind":"arxiv_version","alias_value":"2608.08056v1","created_at":"2026-08-11T01:21:33Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2608.08056","created_at":"2026-08-11T01:21:33Z"},{"alias_kind":"pith_short_12","alias_value":"KXZ5VM5E3A3V","created_at":"2026-08-11T01:21:33Z"},{"alias_kind":"pith_short_16","alias_value":"KXZ5VM5E3A3VZPOS","created_at":"2026-08-11T01:21:33Z"},{"alias_kind":"pith_short_8","alias_value":"KXZ5VM5E","created_at":"2026-08-11T01:21:33Z"}],"graph_snapshots":[{"event_id":"sha256:14746416f8a131bb0ccde57c532276481c2a24b90875ba8316f3ef8ef1acbf9a","target":"graph","created_at":"2026-08-11T01:21:33Z","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"},"integrity":{"available":true,"clean":true,"detectors_run":[],"endpoint":"/pith/2608.08056/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Medical data, by its nature, exhibit a high degree of heterogeneity on multiple levels ranging from (a) different modalities like images, text and time series, (b) diverse tabular schemata introduced by institutions and (c) completely unstructured textual information data provided by healthcare professionals. Data lakes are often used in medical data storage to consolidate all heterogeneous diverse data in a single, central location, where it can be saved \"as is\", without the need to impose a schema like a data warehouse does. Despite their flexibility, though, data lakes are notorious for the","authors_text":"Agapi Davradou, Anastasios Doulamis, Dimitrios Kalogeras, Georgia Kapetadimitri, Ioannis N. Tzortzis, Ioannis Rallis, Nefeli Kousta, Nikolaos Bakalos, Nikolaos Doulamis","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2026-08-08T10:43:38Z","title":"H2: A Dual Hybrid Semantic Data Lake Architecture for Medical Data Harmonization with Human-In-the-Loop verified, LLM Driven Metadata Annotation System"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2608.08056","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:e1160d4a192f158d0df94899b0f24750490040b491b30ac5cfdd1db2812e24d6","target":"record","created_at":"2026-08-11T01:21:33Z","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":"690004fd829002adefda0acc5e8cb7f9befd4f6d3850d3c1ecfd7811b4e282fd","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2026-08-08T10:43:38Z","title_canon_sha256":"6d48a8424e62d0b80873bbcfb7b7a8f9395a63ef2b4adce7738022d7e0aaaf1a"},"schema_version":"1.0","source":{"id":"2608.08056","kind":"arxiv","version":1}},"canonical_sha256":"55f3dab3a4d8375cbdd225de1a7edd43142ca20441ac38a0a06e7f3698173dfa","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"55f3dab3a4d8375cbdd225de1a7edd43142ca20441ac38a0a06e7f3698173dfa","first_computed_at":"2026-08-11T01:21:33.941409Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-08-11T01:21:33.941409Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"bHnl5cAmvGurnyhCPYUTyBj3/4GlXeWPysxYXpC0/zNipj0tSoXuhXW6U4nwQa+03fML1cKfrg6syM6t54iNCw==","signature_status":"signed_v1","signed_at":"2026-08-11T01:21:33.943952Z","signed_message":"canonical_sha256_bytes"},"source_id":"2608.08056","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:e1160d4a192f158d0df94899b0f24750490040b491b30ac5cfdd1db2812e24d6","sha256:14746416f8a131bb0ccde57c532276481c2a24b90875ba8316f3ef8ef1acbf9a"],"state_sha256":"1e3ea65b4f96bc95950d353ed7da4e0a6ed285fb43d4a1f260e7c5106b67c203"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"PtFPiMESxZAxFKXRwbs28Q43P79DCLTdS6HeynAsH95Sj8hcq55kVXGnx8t8U7Dlgn6/dR4y/OYKEan8oMkjCg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-21T10:21:45.771483Z","bundle_sha256":"6c24866632ec608e17abbf10bab69a119e7d3efc61e77a5a002bb75cf7a52ff8"}}