{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2021:6H3YFYVILEBR2NGIHJAS6XKUJX","short_pith_number":"pith:6H3YFYVI","canonical_record":{"source":{"id":"2105.07659","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"q-bio.GN","submitted_at":"2021-05-17T08:15:41Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"0b3d0cc150358ac788dc4600adb32ddbd56cdf8d4c1498a7b5f94b7880a2d9ea","abstract_canon_sha256":"8a46ee9d10ff0691d44a314ea8eb0e5dd07315baec33936e5b8bb45de201ee9c"},"schema_version":"1.0"},"canonical_sha256":"f1f782e2a859031d34c83a412f5d544dcde76ce20d7084efe9ee4c54e5b6c3f4","source":{"kind":"arxiv","id":"2105.07659","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2105.07659","created_at":"2026-07-05T02:40:43Z"},{"alias_kind":"arxiv_version","alias_value":"2105.07659v1","created_at":"2026-07-05T02:40:43Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2105.07659","created_at":"2026-07-05T02:40:43Z"},{"alias_kind":"pith_short_12","alias_value":"6H3YFYVILEBR","created_at":"2026-07-05T02:40:43Z"},{"alias_kind":"pith_short_16","alias_value":"6H3YFYVILEBR2NGI","created_at":"2026-07-05T02:40:43Z"},{"alias_kind":"pith_short_8","alias_value":"6H3YFYVI","created_at":"2026-07-05T02:40:43Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2021:6H3YFYVILEBR2NGIHJAS6XKUJX","target":"record","payload":{"canonical_record":{"source":{"id":"2105.07659","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"q-bio.GN","submitted_at":"2021-05-17T08:15:41Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"0b3d0cc150358ac788dc4600adb32ddbd56cdf8d4c1498a7b5f94b7880a2d9ea","abstract_canon_sha256":"8a46ee9d10ff0691d44a314ea8eb0e5dd07315baec33936e5b8bb45de201ee9c"},"schema_version":"1.0"},"canonical_sha256":"f1f782e2a859031d34c83a412f5d544dcde76ce20d7084efe9ee4c54e5b6c3f4","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T02:40:43.269340Z","signature_b64":"6WBbi7fEBJPhUFwMPXyKm6Ps4sM3woRrCQJEZJzBbBOPIR+VeV8fV7pRt+CA3ZVsk2xEH+EnM5VEdLpanhyhDA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"f1f782e2a859031d34c83a412f5d544dcde76ce20d7084efe9ee4c54e5b6c3f4","last_reissued_at":"2026-07-05T02:40:43.268816Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T02:40:43.268816Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2105.07659","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":"2026-07-05T02:40:43Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"erGWx6PJ4v4SrYtBTQXgy9xRIGmHVvXel6ZmSSHUiGILKlu7jXKOqWs3mBCcmJdsI/QLBJk4IlP37ODziKwPAw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-14T14:56:49.814178Z"},"content_sha256":"62e97430f1f098c9ef8fcf2179ed89b113ea7c778b764aa4c8fe5fa9e2161d4c","schema_version":"1.0","event_id":"sha256:62e97430f1f098c9ef8fcf2179ed89b113ea7c778b764aa4c8fe5fa9e2161d4c"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2021:6H3YFYVILEBR2NGIHJAS6XKUJX","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Comparison of machine learning and deep learning techniques in promoter prediction across diverse species","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.LG"],"primary_cat":"q-bio.GN","authors_text":"Ketan Kotecha, Nikita Bhandari, Rahee Walambe, Satyajeet Khare","submitted_at":"2021-05-17T08:15:41Z","abstract_excerpt":"Gene promoters are the key DNA regulatory elements positioned around the transcription start sites and are responsible for regulating gene transcription process. Various alignment-based, signal-based and content-based approaches are reported for the prediction of promoters. However, since all promoter sequences do not show explicit features, the prediction performance of these techniques is poor. Therefore, many machine learning and deep learning models have been proposed for promoter prediction. In this work, we studied methods for vector encoding and promoter classification using genome sequ"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2105.07659","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/2105.07659/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":"2026-07-05T02:40:43Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"dYl6WqDGKW7x5lnml/0jT+VqaWBCfd6/6QSblhRVRLWzUEJRbbLiiMCeAI6hZmi4LupqJ0KKs0ZVXTF3wG1MBA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-14T14:56:49.814741Z"},"content_sha256":"ad6870ac6fef35b8f42d29a8623487408b6632c215d305d81aea6cd47454e814","schema_version":"1.0","event_id":"sha256:ad6870ac6fef35b8f42d29a8623487408b6632c215d305d81aea6cd47454e814"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/6H3YFYVILEBR2NGIHJAS6XKUJX/bundle.json","state_url":"https://pith.science/pith/6H3YFYVILEBR2NGIHJAS6XKUJX/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/6H3YFYVILEBR2NGIHJAS6XKUJX/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":"2026-08-14T14:56:49Z","links":{"resolver":"https://pith.science/pith/6H3YFYVILEBR2NGIHJAS6XKUJX","bundle":"https://pith.science/pith/6H3YFYVILEBR2NGIHJAS6XKUJX/bundle.json","state":"https://pith.science/pith/6H3YFYVILEBR2NGIHJAS6XKUJX/state.json","well_known_bundle":"https://pith.science/.well-known/pith/6H3YFYVILEBR2NGIHJAS6XKUJX/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2021:6H3YFYVILEBR2NGIHJAS6XKUJX","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":"8a46ee9d10ff0691d44a314ea8eb0e5dd07315baec33936e5b8bb45de201ee9c","cross_cats_sorted":["cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"q-bio.GN","submitted_at":"2021-05-17T08:15:41Z","title_canon_sha256":"0b3d0cc150358ac788dc4600adb32ddbd56cdf8d4c1498a7b5f94b7880a2d9ea"},"schema_version":"1.0","source":{"id":"2105.07659","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2105.07659","created_at":"2026-07-05T02:40:43Z"},{"alias_kind":"arxiv_version","alias_value":"2105.07659v1","created_at":"2026-07-05T02:40:43Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2105.07659","created_at":"2026-07-05T02:40:43Z"},{"alias_kind":"pith_short_12","alias_value":"6H3YFYVILEBR","created_at":"2026-07-05T02:40:43Z"},{"alias_kind":"pith_short_16","alias_value":"6H3YFYVILEBR2NGI","created_at":"2026-07-05T02:40:43Z"},{"alias_kind":"pith_short_8","alias_value":"6H3YFYVI","created_at":"2026-07-05T02:40:43Z"}],"graph_snapshots":[{"event_id":"sha256:ad6870ac6fef35b8f42d29a8623487408b6632c215d305d81aea6cd47454e814","target":"graph","created_at":"2026-07-05T02:40:43Z","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/2105.07659/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Gene promoters are the key DNA regulatory elements positioned around the transcription start sites and are responsible for regulating gene transcription process. Various alignment-based, signal-based and content-based approaches are reported for the prediction of promoters. However, since all promoter sequences do not show explicit features, the prediction performance of these techniques is poor. Therefore, many machine learning and deep learning models have been proposed for promoter prediction. In this work, we studied methods for vector encoding and promoter classification using genome sequ","authors_text":"Ketan Kotecha, Nikita Bhandari, Rahee Walambe, Satyajeet Khare","cross_cats":["cs.LG"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"q-bio.GN","submitted_at":"2021-05-17T08:15:41Z","title":"Comparison of machine learning and deep learning techniques in promoter prediction across diverse species"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2105.07659","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":"sha256:62e97430f1f098c9ef8fcf2179ed89b113ea7c778b764aa4c8fe5fa9e2161d4c","target":"record","created_at":"2026-07-05T02:40:43Z","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":"8a46ee9d10ff0691d44a314ea8eb0e5dd07315baec33936e5b8bb45de201ee9c","cross_cats_sorted":["cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"q-bio.GN","submitted_at":"2021-05-17T08:15:41Z","title_canon_sha256":"0b3d0cc150358ac788dc4600adb32ddbd56cdf8d4c1498a7b5f94b7880a2d9ea"},"schema_version":"1.0","source":{"id":"2105.07659","kind":"arxiv","version":1}},"canonical_sha256":"f1f782e2a859031d34c83a412f5d544dcde76ce20d7084efe9ee4c54e5b6c3f4","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"f1f782e2a859031d34c83a412f5d544dcde76ce20d7084efe9ee4c54e5b6c3f4","first_computed_at":"2026-07-05T02:40:43.268816Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T02:40:43.268816Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"6WBbi7fEBJPhUFwMPXyKm6Ps4sM3woRrCQJEZJzBbBOPIR+VeV8fV7pRt+CA3ZVsk2xEH+EnM5VEdLpanhyhDA==","signature_status":"signed_v1","signed_at":"2026-07-05T02:40:43.269340Z","signed_message":"canonical_sha256_bytes"},"source_id":"2105.07659","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:62e97430f1f098c9ef8fcf2179ed89b113ea7c778b764aa4c8fe5fa9e2161d4c","sha256:ad6870ac6fef35b8f42d29a8623487408b6632c215d305d81aea6cd47454e814"],"state_sha256":"264c57f9473bc773f3213a2f906ceb87d43124f21c11275db92ccdbeca991e3e"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"vXsutpa/of+daVY46MKQ+AqAn0hcFHY6Rt5Lv9EcVo2scHM7KIFJ6s/68sQ8A0yxjDH39YL1Jm3btIE3gWb4CQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-14T14:56:49.823253Z","bundle_sha256":"8ba6159ddd084ab2103701d147c4fad042edbb40dce85dba091142cc083d4b84"}}