{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2022:QA54JH5DHU4A372VE7SB63NR4O","short_pith_number":"pith:QA54JH5D","canonical_record":{"source":{"id":"2210.06852","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2022-10-13T09:04:18Z","cross_cats_sorted":["cs.AI","cs.IR"],"title_canon_sha256":"462b5c7111246ec05e5c1326cdeb1dd1edd02dcc1a61a280bc5ee4f6b7bae1b2","abstract_canon_sha256":"ae474f178d6c141822039b34d61c705507873fcacc905304fa2fe6f666986c49"},"schema_version":"1.0"},"canonical_sha256":"803bc49fa33d380dff5527e41f6db1e398293e2505d77c89887bd439cf48a013","source":{"kind":"arxiv","id":"2210.06852","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2210.06852","created_at":"2026-07-05T08:41:36Z"},{"alias_kind":"arxiv_version","alias_value":"2210.06852v1","created_at":"2026-07-05T08:41:36Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2210.06852","created_at":"2026-07-05T08:41:36Z"},{"alias_kind":"pith_short_12","alias_value":"QA54JH5DHU4A","created_at":"2026-07-05T08:41:36Z"},{"alias_kind":"pith_short_16","alias_value":"QA54JH5DHU4A372V","created_at":"2026-07-05T08:41:36Z"},{"alias_kind":"pith_short_8","alias_value":"QA54JH5D","created_at":"2026-07-05T08:41:36Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2022:QA54JH5DHU4A372VE7SB63NR4O","target":"record","payload":{"canonical_record":{"source":{"id":"2210.06852","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2022-10-13T09:04:18Z","cross_cats_sorted":["cs.AI","cs.IR"],"title_canon_sha256":"462b5c7111246ec05e5c1326cdeb1dd1edd02dcc1a61a280bc5ee4f6b7bae1b2","abstract_canon_sha256":"ae474f178d6c141822039b34d61c705507873fcacc905304fa2fe6f666986c49"},"schema_version":"1.0"},"canonical_sha256":"803bc49fa33d380dff5527e41f6db1e398293e2505d77c89887bd439cf48a013","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T08:41:36.145742Z","signature_b64":"5WMklJi0QjP+/u2ViOeFjgNkvTK233jr1YmQ6p5autVfbBRwSG8xz8PJDUSXk57VsnW6OpXSTJc6sHIp0LlRDg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"803bc49fa33d380dff5527e41f6db1e398293e2505d77c89887bd439cf48a013","last_reissued_at":"2026-07-05T08:41:36.145343Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T08:41:36.145343Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2210.06852","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":"2026-07-05T08:41:36Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"gVwexFVVHhjUKOWlkiiQmcocQidtmwTiDwmjne46vdDaAYvVUvp5SXR6LIyZgdHDaxMINTiFESjlldR7S0EWAA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-22T22:24:09.935659Z"},"content_sha256":"ae0f987ea02f4c234629029b488f7c8361ffcf88248058f30a71f55c41d62134","schema_version":"1.0","event_id":"sha256:ae0f987ea02f4c234629029b488f7c8361ffcf88248058f30a71f55c41d62134"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2022:QA54JH5DHU4A372VE7SB63NR4O","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Overview of BioASQ 2022: The tenth BioASQ challenge on Large-Scale Biomedical Semantic Indexing and Question Answering","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI","cs.IR"],"primary_cat":"cs.CL","authors_text":"Anastasia Krithara, Anastasios Nentidis, Antonio Miranda-Escalada, Eirini Vandorou, Georgios Katsimpras, Georgios Paliouras, Luis Gasco, Martin Krallinger","submitted_at":"2022-10-13T09:04:18Z","abstract_excerpt":"This paper presents an overview of the tenth edition of the BioASQ challenge in the context of the Conference and Labs of the Evaluation Forum (CLEF) 2022. BioASQ is an ongoing series of challenges that promotes advances in the domain of large-scale biomedical semantic indexing and question answering. In this edition, the challenge was composed of the three established tasks a, b, and Synergy, and a new task named DisTEMIST for automatic semantic annotation and grounding of diseases from clinical content in Spanish, a key concept for semantic indexing and search engines of literature and clini"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2210.06852","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/2210.06852/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":"2026-07-05T08:41:36Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"KW/RsZS+cb6QNmniXMxFnId7oIDBtZMcGLLhrJdSR8CpVODrvKvsQ0HVNkSXtcAn9BfFGS/YKAFE6hvaFBCgDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-22T22:24:09.936173Z"},"content_sha256":"9d47f2b6bb496b96626210637f29c3fc6eb13a9b26171bc948aeaae1094346be","schema_version":"1.0","event_id":"sha256:9d47f2b6bb496b96626210637f29c3fc6eb13a9b26171bc948aeaae1094346be"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/QA54JH5DHU4A372VE7SB63NR4O/bundle.json","state_url":"https://pith.science/pith/QA54JH5DHU4A372VE7SB63NR4O/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/QA54JH5DHU4A372VE7SB63NR4O/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":"2026-08-22T22:24:09Z","links":{"resolver":"https://pith.science/pith/QA54JH5DHU4A372VE7SB63NR4O","bundle":"https://pith.science/pith/QA54JH5DHU4A372VE7SB63NR4O/bundle.json","state":"https://pith.science/pith/QA54JH5DHU4A372VE7SB63NR4O/state.json","well_known_bundle":"https://pith.science/.well-known/pith/QA54JH5DHU4A372VE7SB63NR4O/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:QA54JH5DHU4A372VE7SB63NR4O","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":"ae474f178d6c141822039b34d61c705507873fcacc905304fa2fe6f666986c49","cross_cats_sorted":["cs.AI","cs.IR"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2022-10-13T09:04:18Z","title_canon_sha256":"462b5c7111246ec05e5c1326cdeb1dd1edd02dcc1a61a280bc5ee4f6b7bae1b2"},"schema_version":"1.0","source":{"id":"2210.06852","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2210.06852","created_at":"2026-07-05T08:41:36Z"},{"alias_kind":"arxiv_version","alias_value":"2210.06852v1","created_at":"2026-07-05T08:41:36Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2210.06852","created_at":"2026-07-05T08:41:36Z"},{"alias_kind":"pith_short_12","alias_value":"QA54JH5DHU4A","created_at":"2026-07-05T08:41:36Z"},{"alias_kind":"pith_short_16","alias_value":"QA54JH5DHU4A372V","created_at":"2026-07-05T08:41:36Z"},{"alias_kind":"pith_short_8","alias_value":"QA54JH5D","created_at":"2026-07-05T08:41:36Z"}],"graph_snapshots":[{"event_id":"sha256:9d47f2b6bb496b96626210637f29c3fc6eb13a9b26171bc948aeaae1094346be","target":"graph","created_at":"2026-07-05T08:41:36Z","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/2210.06852/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"This paper presents an overview of the tenth edition of the BioASQ challenge in the context of the Conference and Labs of the Evaluation Forum (CLEF) 2022. BioASQ is an ongoing series of challenges that promotes advances in the domain of large-scale biomedical semantic indexing and question answering. In this edition, the challenge was composed of the three established tasks a, b, and Synergy, and a new task named DisTEMIST for automatic semantic annotation and grounding of diseases from clinical content in Spanish, a key concept for semantic indexing and search engines of literature and clini","authors_text":"Anastasia Krithara, Anastasios Nentidis, Antonio Miranda-Escalada, Eirini Vandorou, Georgios Katsimpras, Georgios Paliouras, Luis Gasco, Martin Krallinger","cross_cats":["cs.AI","cs.IR"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2022-10-13T09:04:18Z","title":"Overview of BioASQ 2022: The tenth BioASQ challenge on Large-Scale Biomedical Semantic Indexing and Question Answering"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2210.06852","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:ae0f987ea02f4c234629029b488f7c8361ffcf88248058f30a71f55c41d62134","target":"record","created_at":"2026-07-05T08:41:36Z","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":"ae474f178d6c141822039b34d61c705507873fcacc905304fa2fe6f666986c49","cross_cats_sorted":["cs.AI","cs.IR"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2022-10-13T09:04:18Z","title_canon_sha256":"462b5c7111246ec05e5c1326cdeb1dd1edd02dcc1a61a280bc5ee4f6b7bae1b2"},"schema_version":"1.0","source":{"id":"2210.06852","kind":"arxiv","version":1}},"canonical_sha256":"803bc49fa33d380dff5527e41f6db1e398293e2505d77c89887bd439cf48a013","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"803bc49fa33d380dff5527e41f6db1e398293e2505d77c89887bd439cf48a013","first_computed_at":"2026-07-05T08:41:36.145343Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:41:36.145343Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"5WMklJi0QjP+/u2ViOeFjgNkvTK233jr1YmQ6p5autVfbBRwSG8xz8PJDUSXk57VsnW6OpXSTJc6sHIp0LlRDg==","signature_status":"signed_v1","signed_at":"2026-07-05T08:41:36.145742Z","signed_message":"canonical_sha256_bytes"},"source_id":"2210.06852","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:ae0f987ea02f4c234629029b488f7c8361ffcf88248058f30a71f55c41d62134","sha256:9d47f2b6bb496b96626210637f29c3fc6eb13a9b26171bc948aeaae1094346be"],"state_sha256":"345828f664b4ae98d9b0bde6ca63165ff32284eaf7b54ed4a19fbd960d9e8927"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Gs6qu4KJBp8lXIyYvG1fMnlKynjhadjfOrRvU1NiPFMqu6M4sHHuosfsfVQ9Yw6B8J9mzSvB9Bx1uRlmy4i7CA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-22T22:24:09.941020Z","bundle_sha256":"4a409bae36b0ebcbc62a3c1468c07a867069747b7bf6a0dad4fc35c8ad732e03"}}