{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:U6OACFYIUKA4WCX6LH6SPF345P","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":"94836a7fe92d33ca7cf3c11b207ba0442e0ca0193bfa484dea63a6e0fafd2b6f","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"q-bio.OT","submitted_at":"2026-06-27T10:42:28Z","title_canon_sha256":"ade48b1364a98fced039b11c8c84ed49feb1f4cbea03e2e98408a36956c30a12"},"schema_version":"1.0","source":{"id":"2606.28856","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2606.28856","created_at":"2026-06-30T01:16:54Z"},{"alias_kind":"arxiv_version","alias_value":"2606.28856v1","created_at":"2026-06-30T01:16:54Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.28856","created_at":"2026-06-30T01:16:54Z"},{"alias_kind":"pith_short_12","alias_value":"U6OACFYIUKA4","created_at":"2026-06-30T01:16:54Z"},{"alias_kind":"pith_short_16","alias_value":"U6OACFYIUKA4WCX6","created_at":"2026-06-30T01:16:54Z"},{"alias_kind":"pith_short_8","alias_value":"U6OACFYI","created_at":"2026-06-30T01:16:54Z"}],"graph_snapshots":[{"event_id":"sha256:bcc71aadd1d8bcdd55f69abede9a7fd1e502125f254b3562658deb9b0719e22b","target":"graph","created_at":"2026-06-30T01:16:54Z","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/2606.28856/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"While AI holds the potential to revolutionize space life sciences, realizing this promise is contingent upon the systematic restructuring of heterogeneous spaceflight biological data into machine-actionable, AI-ready forms. Even though open access principles support human reuse and scientific reproducibility, this does not necessarily enable AI systems to access and analyze such a diverse set of scientific datasets. In addition, the growing array of AI approaches places distinct demands on data structure, metadata, and access interfaces. In order to respond to such growing changes we propose a","authors_text":"Afshin Beheshti, Amanda M. Saravia-Butler, Brian M. Evarts, Christopher E. Mason, Gautier Bardi de Fourtou, James A. Casaletto, Jelena Te\\v{s}i\\'c, Laetitia Frost, Lauren M. Sanders, Pedro Madrigal, Peter W. Rose, Rodrigo Coutinho de Almeida, Ryan T. Scott, Sergio E. Baranzini, Sergio Garcia Busto, Stefania Giacomello, Sylvain V. Costes, Xavier-Lewis Palmer","cross_cats":["cs.AI"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"q-bio.OT","submitted_at":"2026-06-27T10:42:28Z","title":"Building AI-Ready Data Systems for Space Life Sciences, Aerospace Medicine, and Deep Space Exploration"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.28856","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":"sha256:440c6925553874398753d36ec3d378adf83bd60710f4539dfaf79cfdba416e8b","target":"record","created_at":"2026-06-30T01:16:54Z","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":"94836a7fe92d33ca7cf3c11b207ba0442e0ca0193bfa484dea63a6e0fafd2b6f","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"q-bio.OT","submitted_at":"2026-06-27T10:42:28Z","title_canon_sha256":"ade48b1364a98fced039b11c8c84ed49feb1f4cbea03e2e98408a36956c30a12"},"schema_version":"1.0","source":{"id":"2606.28856","kind":"arxiv","version":1}},"canonical_sha256":"a79c011708a281cb0afe59fd27977cebe1454b3932b9d3a87262e5e20366c10a","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"a79c011708a281cb0afe59fd27977cebe1454b3932b9d3a87262e5e20366c10a","first_computed_at":"2026-06-30T01:16:54.742611Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-06-30T01:16:54.742611Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"ko7gF0piGCGVW8LO303CYIHYZiUXF49kAZE//jORZNBQ9/JoxFKvSPxvBMUyl+ssI+pduFzidmY5Jqa8uIPbDw==","signature_status":"signed_v1","signed_at":"2026-06-30T01:16:54.743107Z","signed_message":"canonical_sha256_bytes"},"source_id":"2606.28856","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:440c6925553874398753d36ec3d378adf83bd60710f4539dfaf79cfdba416e8b","sha256:bcc71aadd1d8bcdd55f69abede9a7fd1e502125f254b3562658deb9b0719e22b"],"state_sha256":"a337d91d5cc9b8795152ac3b49cfe8d99b379054efe627f9e6184cf78c4d167d"}