{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2018:QIYP2CJAH5JEB65LSC4DHWMVRZ","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":"31feeb1d02810ddaf00e15e6e2dfe3a802cdae916adccc811479a88323f33042","cross_cats_sorted":["cs.IR","cs.LG","stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2018-11-24T17:50:41Z","title_canon_sha256":"c4e264858eb5a9080245f441390d904098ac9ab9341a1f6e151ca003ab5e88fc"},"schema_version":"1.0","source":{"id":"1811.11017","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1811.11017","created_at":"2026-05-17T23:59:45Z"},{"alias_kind":"arxiv_version","alias_value":"1811.11017v1","created_at":"2026-05-17T23:59:45Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1811.11017","created_at":"2026-05-17T23:59:45Z"},{"alias_kind":"pith_short_12","alias_value":"QIYP2CJAH5JE","created_at":"2026-05-18T12:32:46Z"},{"alias_kind":"pith_short_16","alias_value":"QIYP2CJAH5JEB65L","created_at":"2026-05-18T12:32:46Z"},{"alias_kind":"pith_short_8","alias_value":"QIYP2CJA","created_at":"2026-05-18T12:32:46Z"}],"graph_snapshots":[{"event_id":"sha256:00e93089633c0768378449d8bc6a00a3a70059b4db0a54f74c9890b64ff5daa2","target":"graph","created_at":"2026-05-17T23:59:45Z","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":"This project demonstrated a methodology to estimating cooperate credibility with a Natural Language Processing approach. As cooperate transparency impacts both the credibility and possible future earnings of the firm, it is an important factor to be considered by banks and investors on risk assessments of listed firms. This approach of estimating cooperate credibility can bypass human bias and inconsistency in the risk assessment, the use of large quantitative data and neural network models provides more accurate estimation in a more efficient manner compare to manual assessment. At the beginn","authors_text":"Hai Lu, Mohan Zhang, Zhichao Luo","cross_cats":["cs.IR","cs.LG","stat.ML"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2018-11-24T17:50:41Z","title":"Latent Dirichlet Allocation with Residual Convolutional Neural Network Applied in Evaluating Credibility of Chinese Listed Companies"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1811.11017","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:a08d7ab69c1cb1d321433f4f051850825368c6b011faabb2b7417bbb41e3a35b","target":"record","created_at":"2026-05-17T23:59:45Z","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":"31feeb1d02810ddaf00e15e6e2dfe3a802cdae916adccc811479a88323f33042","cross_cats_sorted":["cs.IR","cs.LG","stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2018-11-24T17:50:41Z","title_canon_sha256":"c4e264858eb5a9080245f441390d904098ac9ab9341a1f6e151ca003ab5e88fc"},"schema_version":"1.0","source":{"id":"1811.11017","kind":"arxiv","version":1}},"canonical_sha256":"8230fd09203f5240fbab90b833d9958e4d3df7d87a818c464805e95a0a5c0e2d","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"8230fd09203f5240fbab90b833d9958e4d3df7d87a818c464805e95a0a5c0e2d","first_computed_at":"2026-05-17T23:59:45.478032Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-17T23:59:45.478032Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"qw3WrLPZFKZsV6YSGBF3O0NvLyVO7fUls9E9AHL18qVdC1R0ml7t0vNDgy63TsdW5rvwQ9LYsK9Xu7UXWeZWDw==","signature_status":"signed_v1","signed_at":"2026-05-17T23:59:45.478426Z","signed_message":"canonical_sha256_bytes"},"source_id":"1811.11017","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:a08d7ab69c1cb1d321433f4f051850825368c6b011faabb2b7417bbb41e3a35b","sha256:00e93089633c0768378449d8bc6a00a3a70059b4db0a54f74c9890b64ff5daa2"],"state_sha256":"cde24e34293778110fef2a24d05f986a080a1da8349fb3870ef0443089fe87ae"}