{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2014:UTP7BHZT7CHNCFLXW3RWTZOC6C","short_pith_number":"pith:UTP7BHZT","canonical_record":{"source":{"id":"1402.2379","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SE","submitted_at":"2014-02-11T05:44:48Z","cross_cats_sorted":[],"title_canon_sha256":"199615b84e2637aa0584c746bbb59e4bf4abcdd202c2798422a417ea2c5b554d","abstract_canon_sha256":"4c7e0b7d97bd2d0bb765684394ee1a2ab95b9a88577a9d092aaf4b045af8a528"},"schema_version":"1.0"},"canonical_sha256":"a4dff09f33f88ed11577b6e369e5c2f089865af8b750cbd894645c7b5f4d7c38","source":{"kind":"arxiv","id":"1402.2379","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1402.2379","created_at":"2026-05-18T02:59:20Z"},{"alias_kind":"arxiv_version","alias_value":"1402.2379v1","created_at":"2026-05-18T02:59:20Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1402.2379","created_at":"2026-05-18T02:59:20Z"},{"alias_kind":"pith_short_12","alias_value":"UTP7BHZT7CHN","created_at":"2026-05-18T12:28:52Z"},{"alias_kind":"pith_short_16","alias_value":"UTP7BHZT7CHNCFLX","created_at":"2026-05-18T12:28:52Z"},{"alias_kind":"pith_short_8","alias_value":"UTP7BHZT","created_at":"2026-05-18T12:28:52Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2014:UTP7BHZT7CHNCFLXW3RWTZOC6C","target":"record","payload":{"canonical_record":{"source":{"id":"1402.2379","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SE","submitted_at":"2014-02-11T05:44:48Z","cross_cats_sorted":[],"title_canon_sha256":"199615b84e2637aa0584c746bbb59e4bf4abcdd202c2798422a417ea2c5b554d","abstract_canon_sha256":"4c7e0b7d97bd2d0bb765684394ee1a2ab95b9a88577a9d092aaf4b045af8a528"},"schema_version":"1.0"},"canonical_sha256":"a4dff09f33f88ed11577b6e369e5c2f089865af8b750cbd894645c7b5f4d7c38","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T02:59:20.050434Z","signature_b64":"AZVTdEOwSoxDIEM97iGAnVlheAvN0oxbBaB5hiffHnVu//ZhLR2ukySwOWJ0UZVoKanDh341OraellR760aVDA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"a4dff09f33f88ed11577b6e369e5c2f089865af8b750cbd894645c7b5f4d7c38","last_reissued_at":"2026-05-18T02:59:20.049674Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T02:59:20.049674Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1402.2379","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":"2026-05-18T02:59:20Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"V7P9bCuZZ1a+JdCT6UGDGiJcP76Q551wL9Il2I075vLYFc6oHkn0U7GXHd+owHtbp3wZaoU9yslUv2xsosrtBw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-07T20:43:55.126009Z"},"content_sha256":"6aec62d28c9b9728088c9cff98e7f9d910f3c884e6b1ba4dd7265be20f71c84e","schema_version":"1.0","event_id":"sha256:6aec62d28c9b9728088c9cff98e7f9d910f3c884e6b1ba4dd7265be20f71c84e"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2014:UTP7BHZT7CHNCFLXW3RWTZOC6C","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Enhancing Human Aspect of Software Engineering using Bayesian Classifier","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.SE","authors_text":"Sangita Gupta, Suma V","submitted_at":"2014-02-11T05:44:48Z","abstract_excerpt":"IT industries in current scenario have to struggle effectively in terms of cost, quality, service or innovation for their subsistence in the global market. Due to the swift transformation of technology, software industries owe to manage a large set of data having precious information hidden. Data mining technique enables one to effectively cope with this hidden information where it can be applied to code optimization, fault prediction and other domains which modulates the success nature of software projects. Additionally, the efficiency of the product developed further depends upon the quality"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1402.2379","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":"2026-05-18T02:59:20Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"x3tBAIFw/OXhqhNuDT+Mm0GnlBQh9Exyxw13PFkmOIFRg2Ey4ye8JJdE9GV+Y085Thm7+6uCVDQCR34BVQ1oCA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-07T20:43:55.126683Z"},"content_sha256":"1d3288ec02a2f7e36fae9792c0781e8e4fbed75365834d4515b5ac2e6406222e","schema_version":"1.0","event_id":"sha256:1d3288ec02a2f7e36fae9792c0781e8e4fbed75365834d4515b5ac2e6406222e"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/UTP7BHZT7CHNCFLXW3RWTZOC6C/bundle.json","state_url":"https://pith.science/pith/UTP7BHZT7CHNCFLXW3RWTZOC6C/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/UTP7BHZT7CHNCFLXW3RWTZOC6C/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":"2026-06-07T20:43:55Z","links":{"resolver":"https://pith.science/pith/UTP7BHZT7CHNCFLXW3RWTZOC6C","bundle":"https://pith.science/pith/UTP7BHZT7CHNCFLXW3RWTZOC6C/bundle.json","state":"https://pith.science/pith/UTP7BHZT7CHNCFLXW3RWTZOC6C/state.json","well_known_bundle":"https://pith.science/.well-known/pith/UTP7BHZT7CHNCFLXW3RWTZOC6C/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2014:UTP7BHZT7CHNCFLXW3RWTZOC6C","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":"4c7e0b7d97bd2d0bb765684394ee1a2ab95b9a88577a9d092aaf4b045af8a528","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SE","submitted_at":"2014-02-11T05:44:48Z","title_canon_sha256":"199615b84e2637aa0584c746bbb59e4bf4abcdd202c2798422a417ea2c5b554d"},"schema_version":"1.0","source":{"id":"1402.2379","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1402.2379","created_at":"2026-05-18T02:59:20Z"},{"alias_kind":"arxiv_version","alias_value":"1402.2379v1","created_at":"2026-05-18T02:59:20Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1402.2379","created_at":"2026-05-18T02:59:20Z"},{"alias_kind":"pith_short_12","alias_value":"UTP7BHZT7CHN","created_at":"2026-05-18T12:28:52Z"},{"alias_kind":"pith_short_16","alias_value":"UTP7BHZT7CHNCFLX","created_at":"2026-05-18T12:28:52Z"},{"alias_kind":"pith_short_8","alias_value":"UTP7BHZT","created_at":"2026-05-18T12:28:52Z"}],"graph_snapshots":[{"event_id":"sha256:1d3288ec02a2f7e36fae9792c0781e8e4fbed75365834d4515b5ac2e6406222e","target":"graph","created_at":"2026-05-18T02:59:20Z","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"},"paper":{"abstract_excerpt":"IT industries in current scenario have to struggle effectively in terms of cost, quality, service or innovation for their subsistence in the global market. Due to the swift transformation of technology, software industries owe to manage a large set of data having precious information hidden. Data mining technique enables one to effectively cope with this hidden information where it can be applied to code optimization, fault prediction and other domains which modulates the success nature of software projects. Additionally, the efficiency of the product developed further depends upon the quality","authors_text":"Sangita Gupta, Suma V","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SE","submitted_at":"2014-02-11T05:44:48Z","title":"Enhancing Human Aspect of Software Engineering using Bayesian Classifier"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1402.2379","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":"sha256:6aec62d28c9b9728088c9cff98e7f9d910f3c884e6b1ba4dd7265be20f71c84e","target":"record","created_at":"2026-05-18T02:59:20Z","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":"4c7e0b7d97bd2d0bb765684394ee1a2ab95b9a88577a9d092aaf4b045af8a528","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SE","submitted_at":"2014-02-11T05:44:48Z","title_canon_sha256":"199615b84e2637aa0584c746bbb59e4bf4abcdd202c2798422a417ea2c5b554d"},"schema_version":"1.0","source":{"id":"1402.2379","kind":"arxiv","version":1}},"canonical_sha256":"a4dff09f33f88ed11577b6e369e5c2f089865af8b750cbd894645c7b5f4d7c38","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"a4dff09f33f88ed11577b6e369e5c2f089865af8b750cbd894645c7b5f4d7c38","first_computed_at":"2026-05-18T02:59:20.049674Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T02:59:20.049674Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"AZVTdEOwSoxDIEM97iGAnVlheAvN0oxbBaB5hiffHnVu//ZhLR2ukySwOWJ0UZVoKanDh341OraellR760aVDA==","signature_status":"signed_v1","signed_at":"2026-05-18T02:59:20.050434Z","signed_message":"canonical_sha256_bytes"},"source_id":"1402.2379","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:6aec62d28c9b9728088c9cff98e7f9d910f3c884e6b1ba4dd7265be20f71c84e","sha256:1d3288ec02a2f7e36fae9792c0781e8e4fbed75365834d4515b5ac2e6406222e"],"state_sha256":"d9a5e43116f82ceece287d73fa7dd6ef743fdf4f09298bfed5e61e4e5a5cd7b5"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"w6sFvPuGEPicwyMNMJgGZHmf/MrTHf3jrAgCL/ZHbKU5EmkV1fRMDJrw3r7+yHG7LfCTby9MfcPQvsjFhVkOCA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-07T20:43:55.130290Z","bundle_sha256":"71de311ad8f2bfd47c71d96533816a1a6ce500b7cf679280c0488ea15012c041"}}