{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2020:SROGQS5NWK4AHZAOW4EKCKAL2O","short_pith_number":"pith:SROGQS5N","canonical_record":{"source":{"id":"2009.09646","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.DS","submitted_at":"2020-09-21T07:11:59Z","cross_cats_sorted":["cs.CE"],"title_canon_sha256":"c7f44083a60b3369811678f53d2bdb4a9f050951dd3de3edeb7549863be451ed","abstract_canon_sha256":"4783a3cc4e07df6d68486cce2914af6a4a4520d42e9183d24d3d8c39f97f68b5"},"schema_version":"1.0"},"canonical_sha256":"945c684badb2b803e40eb708a1280bd399a48369bea5dd954591db553b7062fa","source":{"kind":"arxiv","id":"2009.09646","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2009.09646","created_at":"2026-07-05T01:36:42Z"},{"alias_kind":"arxiv_version","alias_value":"2009.09646v1","created_at":"2026-07-05T01:36:42Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2009.09646","created_at":"2026-07-05T01:36:42Z"},{"alias_kind":"pith_short_12","alias_value":"SROGQS5NWK4A","created_at":"2026-07-05T01:36:42Z"},{"alias_kind":"pith_short_16","alias_value":"SROGQS5NWK4AHZAO","created_at":"2026-07-05T01:36:42Z"},{"alias_kind":"pith_short_8","alias_value":"SROGQS5N","created_at":"2026-07-05T01:36:42Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2020:SROGQS5NWK4AHZAOW4EKCKAL2O","target":"record","payload":{"canonical_record":{"source":{"id":"2009.09646","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.DS","submitted_at":"2020-09-21T07:11:59Z","cross_cats_sorted":["cs.CE"],"title_canon_sha256":"c7f44083a60b3369811678f53d2bdb4a9f050951dd3de3edeb7549863be451ed","abstract_canon_sha256":"4783a3cc4e07df6d68486cce2914af6a4a4520d42e9183d24d3d8c39f97f68b5"},"schema_version":"1.0"},"canonical_sha256":"945c684badb2b803e40eb708a1280bd399a48369bea5dd954591db553b7062fa","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T01:36:42.914829Z","signature_b64":"wi1lGwS67oM+INFK3KanZEGLY0+dkd6HlIPih5DcCtcPEd1AjBq0pWIqgqPqFLmFavhQ/If5DK0k2k4jz5otCg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"945c684badb2b803e40eb708a1280bd399a48369bea5dd954591db553b7062fa","last_reissued_at":"2026-07-05T01:36:42.914275Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T01:36:42.914275Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2009.09646","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":"2026-07-05T01:36:42Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"XFpRL2u+SWUUf76/0ACtE8mPLGLXPsBJE5WV0Sm+AvmRt9U3L55739Pz+50Y1lx5tC1rEpbXzd10HHno5XL0Dg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-04T21:27:53.095489Z"},"content_sha256":"40fd6d8591bbbd3d1e3ea723cd912ffd48b59b0a4c35500e5f5f1fd92a85bceb","schema_version":"1.0","event_id":"sha256:40fd6d8591bbbd3d1e3ea723cd912ffd48b59b0a4c35500e5f5f1fd92a85bceb"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2020:SROGQS5NWK4AHZAOW4EKCKAL2O","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"A Novel Method for Inference of Acyclic Chemical Compounds with Bounded Branch-height Based on Artificial Neural Networks and Integer Programming","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.CE"],"primary_cat":"cs.DS","authors_text":"Aleksandar Shurbevski, Hiroshi Nagamochi, Jianshen Zhu, Liang Zhao, Naveed Ahmed Azam, Tatsuya Akutsu, Yanming Sun, Yu Shi","submitted_at":"2020-09-21T07:11:59Z","abstract_excerpt":"Analysis of chemical graphs is a major research topic in computational molecular biology due to its potential applications to drug design. One approach is inverse quantitative structure activity/property relationship (inverse QSAR/QSPR) analysis, which is to infer chemical structures from given chemical activities/properties. Recently, a framework has been proposed for inverse QSAR/QSPR using artificial neural networks (ANN) and mixed integer linear programming (MILP). This method consists of a prediction phase and an inverse prediction phase. In the first phase, a feature vector $f(G)$ of a c"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2009.09646","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/2009.09646/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":"2026-07-05T01:36:42Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"6Qu3HCLpjBGX6K0VINudzOLsXZ7ew1r3xz11Nbv085ImpnZX8Tjtkp6v4NH7Y3uXzve6UUtOvim0VWQcIx02Cg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-04T21:27:53.095866Z"},"content_sha256":"4d181dd15b7e0bac8905d11b6cd86a4494e6adfdb03dd436870769ac465e538a","schema_version":"1.0","event_id":"sha256:4d181dd15b7e0bac8905d11b6cd86a4494e6adfdb03dd436870769ac465e538a"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/SROGQS5NWK4AHZAOW4EKCKAL2O/bundle.json","state_url":"https://pith.science/pith/SROGQS5NWK4AHZAOW4EKCKAL2O/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/SROGQS5NWK4AHZAOW4EKCKAL2O/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":"2026-08-04T21:27:53Z","links":{"resolver":"https://pith.science/pith/SROGQS5NWK4AHZAOW4EKCKAL2O","bundle":"https://pith.science/pith/SROGQS5NWK4AHZAOW4EKCKAL2O/bundle.json","state":"https://pith.science/pith/SROGQS5NWK4AHZAOW4EKCKAL2O/state.json","well_known_bundle":"https://pith.science/.well-known/pith/SROGQS5NWK4AHZAOW4EKCKAL2O/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2020:SROGQS5NWK4AHZAOW4EKCKAL2O","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":"4783a3cc4e07df6d68486cce2914af6a4a4520d42e9183d24d3d8c39f97f68b5","cross_cats_sorted":["cs.CE"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.DS","submitted_at":"2020-09-21T07:11:59Z","title_canon_sha256":"c7f44083a60b3369811678f53d2bdb4a9f050951dd3de3edeb7549863be451ed"},"schema_version":"1.0","source":{"id":"2009.09646","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2009.09646","created_at":"2026-07-05T01:36:42Z"},{"alias_kind":"arxiv_version","alias_value":"2009.09646v1","created_at":"2026-07-05T01:36:42Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2009.09646","created_at":"2026-07-05T01:36:42Z"},{"alias_kind":"pith_short_12","alias_value":"SROGQS5NWK4A","created_at":"2026-07-05T01:36:42Z"},{"alias_kind":"pith_short_16","alias_value":"SROGQS5NWK4AHZAO","created_at":"2026-07-05T01:36:42Z"},{"alias_kind":"pith_short_8","alias_value":"SROGQS5N","created_at":"2026-07-05T01:36:42Z"}],"graph_snapshots":[{"event_id":"sha256:4d181dd15b7e0bac8905d11b6cd86a4494e6adfdb03dd436870769ac465e538a","target":"graph","created_at":"2026-07-05T01:36:42Z","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/2009.09646/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Analysis of chemical graphs is a major research topic in computational molecular biology due to its potential applications to drug design. One approach is inverse quantitative structure activity/property relationship (inverse QSAR/QSPR) analysis, which is to infer chemical structures from given chemical activities/properties. Recently, a framework has been proposed for inverse QSAR/QSPR using artificial neural networks (ANN) and mixed integer linear programming (MILP). This method consists of a prediction phase and an inverse prediction phase. In the first phase, a feature vector $f(G)$ of a c","authors_text":"Aleksandar Shurbevski, Hiroshi Nagamochi, Jianshen Zhu, Liang Zhao, Naveed Ahmed Azam, Tatsuya Akutsu, Yanming Sun, Yu Shi","cross_cats":["cs.CE"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.DS","submitted_at":"2020-09-21T07:11:59Z","title":"A Novel Method for Inference of Acyclic Chemical Compounds with Bounded Branch-height Based on Artificial Neural Networks and Integer Programming"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2009.09646","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":"sha256:40fd6d8591bbbd3d1e3ea723cd912ffd48b59b0a4c35500e5f5f1fd92a85bceb","target":"record","created_at":"2026-07-05T01:36:42Z","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":"4783a3cc4e07df6d68486cce2914af6a4a4520d42e9183d24d3d8c39f97f68b5","cross_cats_sorted":["cs.CE"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.DS","submitted_at":"2020-09-21T07:11:59Z","title_canon_sha256":"c7f44083a60b3369811678f53d2bdb4a9f050951dd3de3edeb7549863be451ed"},"schema_version":"1.0","source":{"id":"2009.09646","kind":"arxiv","version":1}},"canonical_sha256":"945c684badb2b803e40eb708a1280bd399a48369bea5dd954591db553b7062fa","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"945c684badb2b803e40eb708a1280bd399a48369bea5dd954591db553b7062fa","first_computed_at":"2026-07-05T01:36:42.914275Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T01:36:42.914275Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"wi1lGwS67oM+INFK3KanZEGLY0+dkd6HlIPih5DcCtcPEd1AjBq0pWIqgqPqFLmFavhQ/If5DK0k2k4jz5otCg==","signature_status":"signed_v1","signed_at":"2026-07-05T01:36:42.914829Z","signed_message":"canonical_sha256_bytes"},"source_id":"2009.09646","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:40fd6d8591bbbd3d1e3ea723cd912ffd48b59b0a4c35500e5f5f1fd92a85bceb","sha256:4d181dd15b7e0bac8905d11b6cd86a4494e6adfdb03dd436870769ac465e538a"],"state_sha256":"75ec4bcb22c8529e8836ccf113fde3e54b8a0f818c49ff75962278b85d954aa0"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"0v43UAnOffbD/HvMf7fP53B7ZTtRa+dsk/uWWBSa7mwGc/wK16jlD9a+9cSuMCga3zNqY2f9xFS4/eVanJAQDw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-04T21:27:53.098329Z","bundle_sha256":"a6224377d1189824b4febd2561922ae7117fee6a327aa5c1537314584a8e6594"}}