{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:EZKFGPLVXMVXN6FFE2SFQNESXS","short_pith_number":"pith:EZKFGPLV","canonical_record":{"source":{"id":"2410.05289","kind":"arxiv","version":4},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2024-10-02T14:14:17Z","cross_cats_sorted":["cs.LG","cs.LO"],"title_canon_sha256":"8e4beb77a1f2844b9dd31557009a0fc716a9e3fb2c29dc1962167bb1d550d79b","abstract_canon_sha256":"e26fbb5048e5cc523c03a6bfe7f583f070c46295a8df7f24c819f1925c3dfbf5"},"schema_version":"1.0"},"canonical_sha256":"2654533d75bb2b76f8a526a4583492bcaeca3d2c19de17afd70ab96d2f112b21","source":{"kind":"arxiv","id":"2410.05289","version":4},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2410.05289","created_at":"2026-06-30T01:17:20Z"},{"alias_kind":"arxiv_version","alias_value":"2410.05289v4","created_at":"2026-06-30T01:17:20Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2410.05289","created_at":"2026-06-30T01:17:20Z"},{"alias_kind":"pith_short_12","alias_value":"EZKFGPLVXMVX","created_at":"2026-06-30T01:17:20Z"},{"alias_kind":"pith_short_16","alias_value":"EZKFGPLVXMVXN6FF","created_at":"2026-06-30T01:17:20Z"},{"alias_kind":"pith_short_8","alias_value":"EZKFGPLV","created_at":"2026-06-30T01:17:20Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:EZKFGPLVXMVXN6FFE2SFQNESXS","target":"record","payload":{"canonical_record":{"source":{"id":"2410.05289","kind":"arxiv","version":4},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2024-10-02T14:14:17Z","cross_cats_sorted":["cs.LG","cs.LO"],"title_canon_sha256":"8e4beb77a1f2844b9dd31557009a0fc716a9e3fb2c29dc1962167bb1d550d79b","abstract_canon_sha256":"e26fbb5048e5cc523c03a6bfe7f583f070c46295a8df7f24c819f1925c3dfbf5"},"schema_version":"1.0"},"canonical_sha256":"2654533d75bb2b76f8a526a4583492bcaeca3d2c19de17afd70ab96d2f112b21","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-06-30T01:17:20.647544Z","signature_b64":"JQAJJLNwn0BQmvrIkxkp/XcweJPzAi10TPclGw6wcuExuGVeew2DDhOA8eym6mgg/xdOPl9LDrEbjUy75O3NDg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"2654533d75bb2b76f8a526a4583492bcaeca3d2c19de17afd70ab96d2f112b21","last_reissued_at":"2026-06-30T01:17:20.646699Z","signature_status":"signed_v1","first_computed_at":"2026-06-30T01:17:20.646699Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2410.05289","source_version":4,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-06-30T01:17:20Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Gl/6RY3vXOuKLeUpMZ+eo6RDcChvT2XLOjE+hyqyFDL1IRyeDOFNV+rhud3BXXnX8FtcZ4wwXIsNYHvQ5qlXAQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-13T16:55:53.059310Z"},"content_sha256":"1dfbe3ee9fd56ace1c8fb5733612cb513d3fcd82d0d1f8d6d65b3d3480d71c3b","schema_version":"1.0","event_id":"sha256:1dfbe3ee9fd56ace1c8fb5733612cb513d3fcd82d0d1f8d6d65b3d3480d71c3b"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:EZKFGPLVXMVXN6FFE2SFQNESXS","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"MARS: A neurosymbolic approach for interpretable drug discovery","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.LG","cs.LO"],"primary_cat":"cs.AI","authors_text":"Daniel Domingo-Fern\\'andez, Jacques D. Fleuriot, Lauren Nicole DeLong, Paola Galdi, Yojana Gadiya","submitted_at":"2024-10-02T14:14:17Z","abstract_excerpt":"Background: Neurosymbolic (NeSy) artificial intelligence describes the combination of logic or rule-based techniques with neural networks. Compared to neural approaches, NeSy methods often possess enhanced interpretability, which is particularly promising for biomedical applications like drug discovery. However, no clear guidelines exist to assess the biological plausibility of model interpretations.\n  Methods: To assess interpretability in the context of drug discovery, we devise a novel prediction task, called drug mechanism-of-action (MoA) deconvolution, with an associated, tailored knowled"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2410.05289","kind":"arxiv","version":4},"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/2410.05289/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":"2026-06-30T01:17:20Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"IKT/FiY8JdHX24pklFIKrgkY7awQF5SDH24jmdoyNgstTQCr9rnV0FBqFNOojGAlb89pzE4mii4IDFx5QngcDQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-13T16:55:53.059944Z"},"content_sha256":"c97f8d0279f889f17a682dae1e23c8a00794ad20559fc47b817dbc8ac4d2ea22","schema_version":"1.0","event_id":"sha256:c97f8d0279f889f17a682dae1e23c8a00794ad20559fc47b817dbc8ac4d2ea22"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/EZKFGPLVXMVXN6FFE2SFQNESXS/bundle.json","state_url":"https://pith.science/pith/EZKFGPLVXMVXN6FFE2SFQNESXS/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/EZKFGPLVXMVXN6FFE2SFQNESXS/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":"2026-07-13T16:55:53Z","links":{"resolver":"https://pith.science/pith/EZKFGPLVXMVXN6FFE2SFQNESXS","bundle":"https://pith.science/pith/EZKFGPLVXMVXN6FFE2SFQNESXS/bundle.json","state":"https://pith.science/pith/EZKFGPLVXMVXN6FFE2SFQNESXS/state.json","well_known_bundle":"https://pith.science/.well-known/pith/EZKFGPLVXMVXN6FFE2SFQNESXS/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:EZKFGPLVXMVXN6FFE2SFQNESXS","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":"e26fbb5048e5cc523c03a6bfe7f583f070c46295a8df7f24c819f1925c3dfbf5","cross_cats_sorted":["cs.LG","cs.LO"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2024-10-02T14:14:17Z","title_canon_sha256":"8e4beb77a1f2844b9dd31557009a0fc716a9e3fb2c29dc1962167bb1d550d79b"},"schema_version":"1.0","source":{"id":"2410.05289","kind":"arxiv","version":4}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2410.05289","created_at":"2026-06-30T01:17:20Z"},{"alias_kind":"arxiv_version","alias_value":"2410.05289v4","created_at":"2026-06-30T01:17:20Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2410.05289","created_at":"2026-06-30T01:17:20Z"},{"alias_kind":"pith_short_12","alias_value":"EZKFGPLVXMVX","created_at":"2026-06-30T01:17:20Z"},{"alias_kind":"pith_short_16","alias_value":"EZKFGPLVXMVXN6FF","created_at":"2026-06-30T01:17:20Z"},{"alias_kind":"pith_short_8","alias_value":"EZKFGPLV","created_at":"2026-06-30T01:17:20Z"}],"graph_snapshots":[{"event_id":"sha256:c97f8d0279f889f17a682dae1e23c8a00794ad20559fc47b817dbc8ac4d2ea22","target":"graph","created_at":"2026-06-30T01:17:20Z","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/2410.05289/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Background: Neurosymbolic (NeSy) artificial intelligence describes the combination of logic or rule-based techniques with neural networks. Compared to neural approaches, NeSy methods often possess enhanced interpretability, which is particularly promising for biomedical applications like drug discovery. However, no clear guidelines exist to assess the biological plausibility of model interpretations.\n  Methods: To assess interpretability in the context of drug discovery, we devise a novel prediction task, called drug mechanism-of-action (MoA) deconvolution, with an associated, tailored knowled","authors_text":"Daniel Domingo-Fern\\'andez, Jacques D. Fleuriot, Lauren Nicole DeLong, Paola Galdi, Yojana Gadiya","cross_cats":["cs.LG","cs.LO"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2024-10-02T14:14:17Z","title":"MARS: A neurosymbolic approach for interpretable drug discovery"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2410.05289","kind":"arxiv","version":4},"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":"sha256:1dfbe3ee9fd56ace1c8fb5733612cb513d3fcd82d0d1f8d6d65b3d3480d71c3b","target":"record","created_at":"2026-06-30T01:17:20Z","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":"e26fbb5048e5cc523c03a6bfe7f583f070c46295a8df7f24c819f1925c3dfbf5","cross_cats_sorted":["cs.LG","cs.LO"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2024-10-02T14:14:17Z","title_canon_sha256":"8e4beb77a1f2844b9dd31557009a0fc716a9e3fb2c29dc1962167bb1d550d79b"},"schema_version":"1.0","source":{"id":"2410.05289","kind":"arxiv","version":4}},"canonical_sha256":"2654533d75bb2b76f8a526a4583492bcaeca3d2c19de17afd70ab96d2f112b21","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"2654533d75bb2b76f8a526a4583492bcaeca3d2c19de17afd70ab96d2f112b21","first_computed_at":"2026-06-30T01:17:20.646699Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-06-30T01:17:20.646699Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"JQAJJLNwn0BQmvrIkxkp/XcweJPzAi10TPclGw6wcuExuGVeew2DDhOA8eym6mgg/xdOPl9LDrEbjUy75O3NDg==","signature_status":"signed_v1","signed_at":"2026-06-30T01:17:20.647544Z","signed_message":"canonical_sha256_bytes"},"source_id":"2410.05289","source_kind":"arxiv","source_version":4}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:1dfbe3ee9fd56ace1c8fb5733612cb513d3fcd82d0d1f8d6d65b3d3480d71c3b","sha256:c97f8d0279f889f17a682dae1e23c8a00794ad20559fc47b817dbc8ac4d2ea22"],"state_sha256":"18a0704a6d318aa565d8d0692aed85d36c2c9d9dd6c41690a91b9c62cfefe904"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"eUEJUG/zRxuFEOm9ouFjyznPT/Et6ynC5fU8HeEavNFt1yf+CQJPbarj2D1MMFTKli3Lzcr6wXGPK7zPTOTSDA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-13T16:55:53.063012Z","bundle_sha256":"e2de75df451ea691c7e1216cfed1dbcbdd59de4249b06b3bbcd26e034dd8ae63"}}