{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:ZTBSZ4XD7I6UZQQ4HMQVONGNV2","short_pith_number":"pith:ZTBSZ4XD","canonical_record":{"source":{"id":"2410.06941","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.DL","submitted_at":"2024-10-09T14:36:27Z","cross_cats_sorted":["cs.SE"],"title_canon_sha256":"d43714ccd9ae4ffe2a149bd3052413078489a7dc4d243e034493bacfd5b3d752","abstract_canon_sha256":"b42d73c1f25508127eb9265a64bb2b42fdf92292dbe9ac799bed2d69d8aa5c8c"},"schema_version":"1.0"},"canonical_sha256":"ccc32cf2e3fa3d4cc21c3b215734cdaeb84b5622a667f5e820d24ac7d1d9d326","source":{"kind":"arxiv","id":"2410.06941","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2410.06941","created_at":"2026-07-05T11:07:05Z"},{"alias_kind":"arxiv_version","alias_value":"2410.06941v1","created_at":"2026-07-05T11:07:05Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2410.06941","created_at":"2026-07-05T11:07:05Z"},{"alias_kind":"pith_short_12","alias_value":"ZTBSZ4XD7I6U","created_at":"2026-07-05T11:07:05Z"},{"alias_kind":"pith_short_16","alias_value":"ZTBSZ4XD7I6UZQQ4","created_at":"2026-07-05T11:07:05Z"},{"alias_kind":"pith_short_8","alias_value":"ZTBSZ4XD","created_at":"2026-07-05T11:07:05Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:ZTBSZ4XD7I6UZQQ4HMQVONGNV2","target":"record","payload":{"canonical_record":{"source":{"id":"2410.06941","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.DL","submitted_at":"2024-10-09T14:36:27Z","cross_cats_sorted":["cs.SE"],"title_canon_sha256":"d43714ccd9ae4ffe2a149bd3052413078489a7dc4d243e034493bacfd5b3d752","abstract_canon_sha256":"b42d73c1f25508127eb9265a64bb2b42fdf92292dbe9ac799bed2d69d8aa5c8c"},"schema_version":"1.0"},"canonical_sha256":"ccc32cf2e3fa3d4cc21c3b215734cdaeb84b5622a667f5e820d24ac7d1d9d326","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:07:05.181827Z","signature_b64":"0V7szksO3wazHTjCUEklnVyAry1W3UUzuWVJAg/VlJp1C0OhQ0pit5vEmkX1bCbVzTjPgSjx0BhRHPgrPk3DDg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"ccc32cf2e3fa3d4cc21c3b215734cdaeb84b5622a667f5e820d24ac7d1d9d326","last_reissued_at":"2026-07-05T11:07:05.181459Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:07:05.181459Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2410.06941","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":"2026-07-05T11:07:05Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"9OHiZG9m72lXigI+p/68xg1dYj2o+/krNto622SkAC603F4BXSX/xsA52vkNWkg3TK/tMzEXyXDDuIKFdqVbBA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-18T06:11:35.744544Z"},"content_sha256":"21867f3119a2454e7cb6a99b1061e8ce6034332827858b41b2b7a76f8c7a62d3","schema_version":"1.0","event_id":"sha256:21867f3119a2454e7cb6a99b1061e8ce6034332827858b41b2b7a76f8c7a62d3"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:ZTBSZ4XD7I6UZQQ4HMQVONGNV2","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"WorkflowHub: a registry for computational workflows","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.SE"],"primary_cat":"cs.DL","authors_text":"Bj\\\"orn Gr\\\"uning, Carole Goble, Finn Bacall, Frederik Coppens, Herv\\'e M\\'enager, Jos\\'e M. Fern\\'andez, Luca Pireddu, Nick Juty, Ove Johan Ragnar Gustafsson, Salvador Capella-Gutierrez, Sean R. Wilkinson, Simone Leo, Stian Soiland-Reyes, Stuart Owen, Tom Brown","submitted_at":"2024-10-09T14:36:27Z","abstract_excerpt":"The rising popularity of computational workflows is driven by the need for repetitive and scalable data processing, sharing of processing know-how, and transparent methods. As both combined records of analysis and descriptions of processing steps, workflows should be reproducible, reusable, adaptable, and available. Workflow sharing presents opportunities to reduce unnecessary reinvention, promote reuse, increase access to best practice analyses for non-experts, and increase productivity. In reality, workflows are scattered and difficult to find, in part due to the diversity of available workf"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2410.06941","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/2410.06941/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":"2026-07-05T11:07:05Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"fJW3PhBQr0wKkMrqOkOzy64ed0bxzHsLy0Seaq//e33eai20KE3G0JQEJG/CTfvvr41hVVFuv7zdrWAptv8LDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-18T06:11:35.745069Z"},"content_sha256":"460b96c2e5d61f92e62a3690ef7eb87bac0da1379177cd5645e8d140a6ffb394","schema_version":"1.0","event_id":"sha256:460b96c2e5d61f92e62a3690ef7eb87bac0da1379177cd5645e8d140a6ffb394"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/ZTBSZ4XD7I6UZQQ4HMQVONGNV2/bundle.json","state_url":"https://pith.science/pith/ZTBSZ4XD7I6UZQQ4HMQVONGNV2/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/ZTBSZ4XD7I6UZQQ4HMQVONGNV2/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":"2026-08-18T06:11:35Z","links":{"resolver":"https://pith.science/pith/ZTBSZ4XD7I6UZQQ4HMQVONGNV2","bundle":"https://pith.science/pith/ZTBSZ4XD7I6UZQQ4HMQVONGNV2/bundle.json","state":"https://pith.science/pith/ZTBSZ4XD7I6UZQQ4HMQVONGNV2/state.json","well_known_bundle":"https://pith.science/.well-known/pith/ZTBSZ4XD7I6UZQQ4HMQVONGNV2/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:ZTBSZ4XD7I6UZQQ4HMQVONGNV2","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":"b42d73c1f25508127eb9265a64bb2b42fdf92292dbe9ac799bed2d69d8aa5c8c","cross_cats_sorted":["cs.SE"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.DL","submitted_at":"2024-10-09T14:36:27Z","title_canon_sha256":"d43714ccd9ae4ffe2a149bd3052413078489a7dc4d243e034493bacfd5b3d752"},"schema_version":"1.0","source":{"id":"2410.06941","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2410.06941","created_at":"2026-07-05T11:07:05Z"},{"alias_kind":"arxiv_version","alias_value":"2410.06941v1","created_at":"2026-07-05T11:07:05Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2410.06941","created_at":"2026-07-05T11:07:05Z"},{"alias_kind":"pith_short_12","alias_value":"ZTBSZ4XD7I6U","created_at":"2026-07-05T11:07:05Z"},{"alias_kind":"pith_short_16","alias_value":"ZTBSZ4XD7I6UZQQ4","created_at":"2026-07-05T11:07:05Z"},{"alias_kind":"pith_short_8","alias_value":"ZTBSZ4XD","created_at":"2026-07-05T11:07:05Z"}],"graph_snapshots":[{"event_id":"sha256:460b96c2e5d61f92e62a3690ef7eb87bac0da1379177cd5645e8d140a6ffb394","target":"graph","created_at":"2026-07-05T11:07:05Z","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/2410.06941/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The rising popularity of computational workflows is driven by the need for repetitive and scalable data processing, sharing of processing know-how, and transparent methods. As both combined records of analysis and descriptions of processing steps, workflows should be reproducible, reusable, adaptable, and available. Workflow sharing presents opportunities to reduce unnecessary reinvention, promote reuse, increase access to best practice analyses for non-experts, and increase productivity. In reality, workflows are scattered and difficult to find, in part due to the diversity of available workf","authors_text":"Bj\\\"orn Gr\\\"uning, Carole Goble, Finn Bacall, Frederik Coppens, Herv\\'e M\\'enager, Jos\\'e M. Fern\\'andez, Luca Pireddu, Nick Juty, Ove Johan Ragnar Gustafsson, Salvador Capella-Gutierrez, Sean R. Wilkinson, Simone Leo, Stian Soiland-Reyes, Stuart Owen, Tom Brown","cross_cats":["cs.SE"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.DL","submitted_at":"2024-10-09T14:36:27Z","title":"WorkflowHub: a registry for computational workflows"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2410.06941","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":"sha256:21867f3119a2454e7cb6a99b1061e8ce6034332827858b41b2b7a76f8c7a62d3","target":"record","created_at":"2026-07-05T11:07:05Z","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":"b42d73c1f25508127eb9265a64bb2b42fdf92292dbe9ac799bed2d69d8aa5c8c","cross_cats_sorted":["cs.SE"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.DL","submitted_at":"2024-10-09T14:36:27Z","title_canon_sha256":"d43714ccd9ae4ffe2a149bd3052413078489a7dc4d243e034493bacfd5b3d752"},"schema_version":"1.0","source":{"id":"2410.06941","kind":"arxiv","version":1}},"canonical_sha256":"ccc32cf2e3fa3d4cc21c3b215734cdaeb84b5622a667f5e820d24ac7d1d9d326","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"ccc32cf2e3fa3d4cc21c3b215734cdaeb84b5622a667f5e820d24ac7d1d9d326","first_computed_at":"2026-07-05T11:07:05.181459Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:07:05.181459Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"0V7szksO3wazHTjCUEklnVyAry1W3UUzuWVJAg/VlJp1C0OhQ0pit5vEmkX1bCbVzTjPgSjx0BhRHPgrPk3DDg==","signature_status":"signed_v1","signed_at":"2026-07-05T11:07:05.181827Z","signed_message":"canonical_sha256_bytes"},"source_id":"2410.06941","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:21867f3119a2454e7cb6a99b1061e8ce6034332827858b41b2b7a76f8c7a62d3","sha256:460b96c2e5d61f92e62a3690ef7eb87bac0da1379177cd5645e8d140a6ffb394"],"state_sha256":"62b159d7d5f3f515566cd99dbcdcfa58d224bc9451b1ab9324043832affed113"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"yGlfnnM12T2qMYafqJw8A2DY26q7+aqoE2VrrFbQCMjk8rmkVyEK4LPfAHFXOjixk7b1iU4xSlcC7RZIK1rUCw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-18T06:11:35.750365Z","bundle_sha256":"1e6c0c86c2a8aff0f1a9591290edddf8f5111fc2181da9b55d915f1bb5f42bbc"}}