{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2014:ZCVWP2ICIH2ZTJSTM22CUXLAAH","short_pith_number":"pith:ZCVWP2IC","canonical_record":{"source":{"id":"1411.4246","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.NE","submitted_at":"2014-11-16T11:26:06Z","cross_cats_sorted":["cs.CE"],"title_canon_sha256":"37a62e50ac09695f27063063acd72a83e0a5e8d48284866e027b33700d9b2dbc","abstract_canon_sha256":"616b187748a455d56de0c391cf70b0422895bb6ddbbecf7622a588470ac1661f"},"schema_version":"1.0"},"canonical_sha256":"c8ab67e90241f599a65366b42a5d6001d12c3f14e26b0e3af7cc6f8579a0f182","source":{"kind":"arxiv","id":"1411.4246","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1411.4246","created_at":"2026-05-18T02:35:46Z"},{"alias_kind":"arxiv_version","alias_value":"1411.4246v1","created_at":"2026-05-18T02:35:46Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1411.4246","created_at":"2026-05-18T02:35:46Z"},{"alias_kind":"pith_short_12","alias_value":"ZCVWP2ICIH2Z","created_at":"2026-05-18T12:28:59Z"},{"alias_kind":"pith_short_16","alias_value":"ZCVWP2ICIH2ZTJST","created_at":"2026-05-18T12:28:59Z"},{"alias_kind":"pith_short_8","alias_value":"ZCVWP2IC","created_at":"2026-05-18T12:28:59Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2014:ZCVWP2ICIH2ZTJSTM22CUXLAAH","target":"record","payload":{"canonical_record":{"source":{"id":"1411.4246","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.NE","submitted_at":"2014-11-16T11:26:06Z","cross_cats_sorted":["cs.CE"],"title_canon_sha256":"37a62e50ac09695f27063063acd72a83e0a5e8d48284866e027b33700d9b2dbc","abstract_canon_sha256":"616b187748a455d56de0c391cf70b0422895bb6ddbbecf7622a588470ac1661f"},"schema_version":"1.0"},"canonical_sha256":"c8ab67e90241f599a65366b42a5d6001d12c3f14e26b0e3af7cc6f8579a0f182","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T02:35:46.114564Z","signature_b64":"35AJp1Xa/ojnPGrioAGrjuKI2skFDIaxG4ZWN+B7QVJGuIT6QvJeB1mTAX7SNC7Rzz0ycb5cHCrCZ61/a716Dw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"c8ab67e90241f599a65366b42a5d6001d12c3f14e26b0e3af7cc6f8579a0f182","last_reissued_at":"2026-05-18T02:35:46.114060Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T02:35:46.114060Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1411.4246","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":"2026-05-18T02:35:46Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"740GdCTcZTJe6v/T8tl/2H2FEoahm+R+VwISGoWiEd4RYCNvsX82BGW2Nb+3A8t2fo9R9L/AKhZqiBGImEJWAA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-24T03:34:50.464537Z"},"content_sha256":"de0261fae6e2d247a49a37db8d48431e7a336e1d53a964533a22ea36c10260a5","schema_version":"1.0","event_id":"sha256:de0261fae6e2d247a49a37db8d48431e7a336e1d53a964533a22ea36c10260a5"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2014:ZCVWP2ICIH2ZTJSTM22CUXLAAH","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"GreMuTRRR: A Novel Genetic Algorithm to Solve Distance Geometry Problem for Protein Structures","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.CE"],"primary_cat":"cs.NE","authors_text":"Md. Lisul Islam, M. Sohel Rahman, Swakkhar Shatabda","submitted_at":"2014-11-16T11:26:06Z","abstract_excerpt":"Nuclear Magnetic Resonance (NMR) Spectroscopy is a widely used technique to predict the native structure of proteins. However, NMR machines are only able to report approximate and partial distances between pair of atoms. To build the protein structure one has to solve the Euclidean distance geometry problem given the incomplete interval distance data produced by NMR machines. In this paper, we propose a new genetic algorithm for solving the Euclidean distance geometry problem for protein structure prediction given sparse NMR data. Our genetic algorithm uses a greedy mutation operator to intens"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1411.4246","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":""},"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":"2026-05-18T02:35:46Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"+J7kRhFAFlGWBte64miFscdCjxoDAtcGyOzCVp9BREYi/7mpxJ2OeZIeZUPVA1MJczUQjsMuxOy5X9XaFMt/BA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-24T03:34:50.464889Z"},"content_sha256":"4cb6d843115d5f2b05793b6c0da9478b4cd20a02cd3449306bf011dfa893e5e8","schema_version":"1.0","event_id":"sha256:4cb6d843115d5f2b05793b6c0da9478b4cd20a02cd3449306bf011dfa893e5e8"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/ZCVWP2ICIH2ZTJSTM22CUXLAAH/bundle.json","state_url":"https://pith.science/pith/ZCVWP2ICIH2ZTJSTM22CUXLAAH/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/ZCVWP2ICIH2ZTJSTM22CUXLAAH/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":"2026-06-24T03:34:50Z","links":{"resolver":"https://pith.science/pith/ZCVWP2ICIH2ZTJSTM22CUXLAAH","bundle":"https://pith.science/pith/ZCVWP2ICIH2ZTJSTM22CUXLAAH/bundle.json","state":"https://pith.science/pith/ZCVWP2ICIH2ZTJSTM22CUXLAAH/state.json","well_known_bundle":"https://pith.science/.well-known/pith/ZCVWP2ICIH2ZTJSTM22CUXLAAH/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2014:ZCVWP2ICIH2ZTJSTM22CUXLAAH","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":"616b187748a455d56de0c391cf70b0422895bb6ddbbecf7622a588470ac1661f","cross_cats_sorted":["cs.CE"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.NE","submitted_at":"2014-11-16T11:26:06Z","title_canon_sha256":"37a62e50ac09695f27063063acd72a83e0a5e8d48284866e027b33700d9b2dbc"},"schema_version":"1.0","source":{"id":"1411.4246","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1411.4246","created_at":"2026-05-18T02:35:46Z"},{"alias_kind":"arxiv_version","alias_value":"1411.4246v1","created_at":"2026-05-18T02:35:46Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1411.4246","created_at":"2026-05-18T02:35:46Z"},{"alias_kind":"pith_short_12","alias_value":"ZCVWP2ICIH2Z","created_at":"2026-05-18T12:28:59Z"},{"alias_kind":"pith_short_16","alias_value":"ZCVWP2ICIH2ZTJST","created_at":"2026-05-18T12:28:59Z"},{"alias_kind":"pith_short_8","alias_value":"ZCVWP2IC","created_at":"2026-05-18T12:28:59Z"}],"graph_snapshots":[{"event_id":"sha256:4cb6d843115d5f2b05793b6c0da9478b4cd20a02cd3449306bf011dfa893e5e8","target":"graph","created_at":"2026-05-18T02:35:46Z","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"},"paper":{"abstract_excerpt":"Nuclear Magnetic Resonance (NMR) Spectroscopy is a widely used technique to predict the native structure of proteins. However, NMR machines are only able to report approximate and partial distances between pair of atoms. To build the protein structure one has to solve the Euclidean distance geometry problem given the incomplete interval distance data produced by NMR machines. In this paper, we propose a new genetic algorithm for solving the Euclidean distance geometry problem for protein structure prediction given sparse NMR data. Our genetic algorithm uses a greedy mutation operator to intens","authors_text":"Md. Lisul Islam, M. Sohel Rahman, Swakkhar Shatabda","cross_cats":["cs.CE"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.NE","submitted_at":"2014-11-16T11:26:06Z","title":"GreMuTRRR: A Novel Genetic Algorithm to Solve Distance Geometry Problem for Protein Structures"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1411.4246","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:de0261fae6e2d247a49a37db8d48431e7a336e1d53a964533a22ea36c10260a5","target":"record","created_at":"2026-05-18T02:35:46Z","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":"616b187748a455d56de0c391cf70b0422895bb6ddbbecf7622a588470ac1661f","cross_cats_sorted":["cs.CE"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.NE","submitted_at":"2014-11-16T11:26:06Z","title_canon_sha256":"37a62e50ac09695f27063063acd72a83e0a5e8d48284866e027b33700d9b2dbc"},"schema_version":"1.0","source":{"id":"1411.4246","kind":"arxiv","version":1}},"canonical_sha256":"c8ab67e90241f599a65366b42a5d6001d12c3f14e26b0e3af7cc6f8579a0f182","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"c8ab67e90241f599a65366b42a5d6001d12c3f14e26b0e3af7cc6f8579a0f182","first_computed_at":"2026-05-18T02:35:46.114060Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T02:35:46.114060Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"35AJp1Xa/ojnPGrioAGrjuKI2skFDIaxG4ZWN+B7QVJGuIT6QvJeB1mTAX7SNC7Rzz0ycb5cHCrCZ61/a716Dw==","signature_status":"signed_v1","signed_at":"2026-05-18T02:35:46.114564Z","signed_message":"canonical_sha256_bytes"},"source_id":"1411.4246","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:de0261fae6e2d247a49a37db8d48431e7a336e1d53a964533a22ea36c10260a5","sha256:4cb6d843115d5f2b05793b6c0da9478b4cd20a02cd3449306bf011dfa893e5e8"],"state_sha256":"e74e1613d7e2dad85d97e17d56f98816aa64a234f89bf3d2e6605b3b3ae1263b"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"dP3Umb6MtB4v99id+N80GhrPYINxZ0s00nZMnZ5WolV72xHpJhZwoEfcv4GZy2+a43yJWVFwqIXCQnFKWPEiCQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-24T03:34:50.466865Z","bundle_sha256":"cad9d00fe390b30350287f355d18480033a83e1dd3eb855c2d829d3229f934b6"}}