{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:MS5PITE4TI2VNF7BUEEOKWOUJD","short_pith_number":"pith:MS5PITE4","canonical_record":{"source":{"id":"2504.00986","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.SE","submitted_at":"2025-04-01T17:22:50Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"a663c63314e46ad373e262064305d72bb4d08951743c4263ff510919f756e632","abstract_canon_sha256":"50a2132cfb33065de249fbbdb281bfa47a65fdb597cd2e09a990313458c01207"},"schema_version":"1.0"},"canonical_sha256":"64baf44c9c9a355697e1a108e559d448f33b5e31d0ba963f65ea10a63dafb7dd","source":{"kind":"arxiv","id":"2504.00986","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2504.00986","created_at":"2026-07-05T10:42:54Z"},{"alias_kind":"arxiv_version","alias_value":"2504.00986v1","created_at":"2026-07-05T10:42:54Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2504.00986","created_at":"2026-07-05T10:42:54Z"},{"alias_kind":"pith_short_12","alias_value":"MS5PITE4TI2V","created_at":"2026-07-05T10:42:54Z"},{"alias_kind":"pith_short_16","alias_value":"MS5PITE4TI2VNF7B","created_at":"2026-07-05T10:42:54Z"},{"alias_kind":"pith_short_8","alias_value":"MS5PITE4","created_at":"2026-07-05T10:42:54Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:MS5PITE4TI2VNF7BUEEOKWOUJD","target":"record","payload":{"canonical_record":{"source":{"id":"2504.00986","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.SE","submitted_at":"2025-04-01T17:22:50Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"a663c63314e46ad373e262064305d72bb4d08951743c4263ff510919f756e632","abstract_canon_sha256":"50a2132cfb33065de249fbbdb281bfa47a65fdb597cd2e09a990313458c01207"},"schema_version":"1.0"},"canonical_sha256":"64baf44c9c9a355697e1a108e559d448f33b5e31d0ba963f65ea10a63dafb7dd","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T10:42:54.416730Z","signature_b64":"BffaTD785+5ON9U5sYYyWJU0JgoJSt4jPl5xqUprQDhU8UXeOvLOE6/WEeIeQafxdYIjL0XTYoxISOGuib5PCw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"64baf44c9c9a355697e1a108e559d448f33b5e31d0ba963f65ea10a63dafb7dd","last_reissued_at":"2026-07-05T10:42:54.416210Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T10:42:54.416210Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2504.00986","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":"2026-07-05T10:42:54Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"O5MagiwjCm8cGPNNQbM8ZRqydWfNSXHb/BCJrFDAwNfV6BA/9kcJWswIwPVbybUpFLy489uDMfxJrcJApmAdAQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-08T09:52:46.922552Z"},"content_sha256":"1774ce7079c386273526c4b654c700dccde2325115c276b0c3c166c74bfd3d0b","schema_version":"1.0","event_id":"sha256:1774ce7079c386273526c4b654c700dccde2325115c276b0c3c166c74bfd3d0b"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:MS5PITE4TI2VNF7BUEEOKWOUJD","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Accelerating drug discovery with Artificial: a whole-lab orchestration and scheduling system for self-driving labs","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.SE","authors_text":"Betty Liu, Charles Crain, David Fuller, Paul Mandel, Yao Fehlis","submitted_at":"2025-04-01T17:22:50Z","abstract_excerpt":"Self-driving labs are transforming drug discovery by enabling automated, AI-guided experimentation, but they face challenges in orchestrating complex workflows, integrating diverse instruments and AI models, and managing data efficiently. Artificial addresses these issues with a comprehensive orchestration and scheduling system that unifies lab operations, automates workflows, and integrates AI-driven decision-making. By incorporating AI/ML models like NVIDIA BioNeMo - which facilitates molecular interaction prediction and biomolecular analysis - Artificial enhances drug discovery and accelera"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2504.00986","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/2504.00986/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":"2026-07-05T10:42:54Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"UIT2t+39otVwifrB5SwGnPS6ZM54/NfnKcKB5BEvqju158yT4uf8JsPN9sBBI01gKucDNR8p/x2PLRi8nu7lDQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-08T09:52:46.923073Z"},"content_sha256":"1bfc4fe9dc9373ed71cb186dcbf9d6ea3a0544808fa6204751fcf9c840ffaf4f","schema_version":"1.0","event_id":"sha256:1bfc4fe9dc9373ed71cb186dcbf9d6ea3a0544808fa6204751fcf9c840ffaf4f"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/MS5PITE4TI2VNF7BUEEOKWOUJD/bundle.json","state_url":"https://pith.science/pith/MS5PITE4TI2VNF7BUEEOKWOUJD/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/MS5PITE4TI2VNF7BUEEOKWOUJD/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":"2026-08-08T09:52:46Z","links":{"resolver":"https://pith.science/pith/MS5PITE4TI2VNF7BUEEOKWOUJD","bundle":"https://pith.science/pith/MS5PITE4TI2VNF7BUEEOKWOUJD/bundle.json","state":"https://pith.science/pith/MS5PITE4TI2VNF7BUEEOKWOUJD/state.json","well_known_bundle":"https://pith.science/.well-known/pith/MS5PITE4TI2VNF7BUEEOKWOUJD/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:MS5PITE4TI2VNF7BUEEOKWOUJD","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":"50a2132cfb33065de249fbbdb281bfa47a65fdb597cd2e09a990313458c01207","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.SE","submitted_at":"2025-04-01T17:22:50Z","title_canon_sha256":"a663c63314e46ad373e262064305d72bb4d08951743c4263ff510919f756e632"},"schema_version":"1.0","source":{"id":"2504.00986","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2504.00986","created_at":"2026-07-05T10:42:54Z"},{"alias_kind":"arxiv_version","alias_value":"2504.00986v1","created_at":"2026-07-05T10:42:54Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2504.00986","created_at":"2026-07-05T10:42:54Z"},{"alias_kind":"pith_short_12","alias_value":"MS5PITE4TI2V","created_at":"2026-07-05T10:42:54Z"},{"alias_kind":"pith_short_16","alias_value":"MS5PITE4TI2VNF7B","created_at":"2026-07-05T10:42:54Z"},{"alias_kind":"pith_short_8","alias_value":"MS5PITE4","created_at":"2026-07-05T10:42:54Z"}],"graph_snapshots":[{"event_id":"sha256:1bfc4fe9dc9373ed71cb186dcbf9d6ea3a0544808fa6204751fcf9c840ffaf4f","target":"graph","created_at":"2026-07-05T10:42:54Z","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/2504.00986/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Self-driving labs are transforming drug discovery by enabling automated, AI-guided experimentation, but they face challenges in orchestrating complex workflows, integrating diverse instruments and AI models, and managing data efficiently. Artificial addresses these issues with a comprehensive orchestration and scheduling system that unifies lab operations, automates workflows, and integrates AI-driven decision-making. By incorporating AI/ML models like NVIDIA BioNeMo - which facilitates molecular interaction prediction and biomolecular analysis - Artificial enhances drug discovery and accelera","authors_text":"Betty Liu, Charles Crain, David Fuller, Paul Mandel, Yao Fehlis","cross_cats":["cs.AI"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.SE","submitted_at":"2025-04-01T17:22:50Z","title":"Accelerating drug discovery with Artificial: a whole-lab orchestration and scheduling system for self-driving labs"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2504.00986","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":"sha256:1774ce7079c386273526c4b654c700dccde2325115c276b0c3c166c74bfd3d0b","target":"record","created_at":"2026-07-05T10:42:54Z","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":"50a2132cfb33065de249fbbdb281bfa47a65fdb597cd2e09a990313458c01207","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.SE","submitted_at":"2025-04-01T17:22:50Z","title_canon_sha256":"a663c63314e46ad373e262064305d72bb4d08951743c4263ff510919f756e632"},"schema_version":"1.0","source":{"id":"2504.00986","kind":"arxiv","version":1}},"canonical_sha256":"64baf44c9c9a355697e1a108e559d448f33b5e31d0ba963f65ea10a63dafb7dd","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"64baf44c9c9a355697e1a108e559d448f33b5e31d0ba963f65ea10a63dafb7dd","first_computed_at":"2026-07-05T10:42:54.416210Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:42:54.416210Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"BffaTD785+5ON9U5sYYyWJU0JgoJSt4jPl5xqUprQDhU8UXeOvLOE6/WEeIeQafxdYIjL0XTYoxISOGuib5PCw==","signature_status":"signed_v1","signed_at":"2026-07-05T10:42:54.416730Z","signed_message":"canonical_sha256_bytes"},"source_id":"2504.00986","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:1774ce7079c386273526c4b654c700dccde2325115c276b0c3c166c74bfd3d0b","sha256:1bfc4fe9dc9373ed71cb186dcbf9d6ea3a0544808fa6204751fcf9c840ffaf4f"],"state_sha256":"6c9c858062bdfb6d2232ec5d915c9d61eb30ae880f393418179bee7d504e6684"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"pXkHB8LkAqWJ7QslPdDi005EfQar4z14LYBNoIa9O3BdSDhbPfL7PJQYwHEeeDF5XjAMwkkgu69Vls66s3Y2DQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-08T09:52:46.926934Z","bundle_sha256":"0dae9f9bc6a0ce4b572821d21ba479fc636a83e2fdf8232daafb442b90701b8d"}}