{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2018:7CU5A2XIJXTMMKF65WTAG2E54V","short_pith_number":"pith:7CU5A2XI","canonical_record":{"source":{"id":"1805.03379","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2018-05-09T05:44:19Z","cross_cats_sorted":["cs.AI","cs.LG"],"title_canon_sha256":"7144f7a591cf573239c9cb3f3d2be4b6b3400a848b7445451b1f677416e1a106","abstract_canon_sha256":"465e7f3c942a51007a2d69dae49903a36b7bf4ec2ce92e9b22aeb1a65f7dcc3f"},"schema_version":"1.0"},"canonical_sha256":"f8a9d06ae84de6c628beeda603689de551aac2c52a61af57756e4d9506049123","source":{"kind":"arxiv","id":"1805.03379","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1805.03379","created_at":"2026-05-18T00:16:20Z"},{"alias_kind":"arxiv_version","alias_value":"1805.03379v1","created_at":"2026-05-18T00:16:20Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1805.03379","created_at":"2026-05-18T00:16:20Z"},{"alias_kind":"pith_short_12","alias_value":"7CU5A2XIJXTM","created_at":"2026-05-18T12:32:11Z"},{"alias_kind":"pith_short_16","alias_value":"7CU5A2XIJXTMMKF6","created_at":"2026-05-18T12:32:11Z"},{"alias_kind":"pith_short_8","alias_value":"7CU5A2XI","created_at":"2026-05-18T12:32:11Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2018:7CU5A2XIJXTMMKF65WTAG2E54V","target":"record","payload":{"canonical_record":{"source":{"id":"1805.03379","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2018-05-09T05:44:19Z","cross_cats_sorted":["cs.AI","cs.LG"],"title_canon_sha256":"7144f7a591cf573239c9cb3f3d2be4b6b3400a848b7445451b1f677416e1a106","abstract_canon_sha256":"465e7f3c942a51007a2d69dae49903a36b7bf4ec2ce92e9b22aeb1a65f7dcc3f"},"schema_version":"1.0"},"canonical_sha256":"f8a9d06ae84de6c628beeda603689de551aac2c52a61af57756e4d9506049123","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:16:20.366157Z","signature_b64":"gct4yWh+xdsOevYGwaxPueUWbTwWt6USZkQdWZWy89QG1/bGBiGPSG5GMU2nZtOouAW8hH57X0mAwkJqiuLkCg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"f8a9d06ae84de6c628beeda603689de551aac2c52a61af57756e4d9506049123","last_reissued_at":"2026-05-18T00:16:20.365641Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:16:20.365641Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1805.03379","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":"2026-05-18T00:16:20Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"cYKmY42UC15yyP6vAO+FtoH3vcEMhudNDAvaXAXYMJC0BlJ6HLdgmlrTezB+OTH1amnV+ugC1Pj/MlLKl9YgCQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-19T07:08:56.243137Z"},"content_sha256":"86adf78c4e7ed979b9c67539a171b4b36d5d4abaecf3663a73cef118c037f6b9","schema_version":"1.0","event_id":"sha256:86adf78c4e7ed979b9c67539a171b4b36d5d4abaecf3663a73cef118c037f6b9"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2018:7CU5A2XIJXTMMKF65WTAG2E54V","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Opinion Fraud Detection via Neural Autoencoder Decision Forest","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI","cs.LG"],"primary_cat":"cs.CL","authors_text":"Boualem Benatallah, Chaoran Huang, Lina Yao, Manqing Dong, Xianzhi Wang, Xiaodong Ning","submitted_at":"2018-05-09T05:44:19Z","abstract_excerpt":"Online reviews play an important role in influencing buyers' daily purchase decisions. However, fake and meaningless reviews, which cannot reflect users' genuine purchase experience and opinions, widely exist on the Web and pose great challenges for users to make right choices. Therefore,it is desirable to build a fair model that evaluates the quality of products by distinguishing spamming reviews. We present an end-to-end trainable unified model to leverage the appealing properties from Autoencoder and random forest. A stochastic decision tree model is implemented to guide the global paramete"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1805.03379","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":"2026-05-18T00:16:20Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"1Js6cCyRjRBIOHGod0h0E4QyxCZTnWOTV5WjPeyzir89r4zYxpjkppCzRQ0Q/luKNnZ46jdFYMfjgevix5UNCw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-19T07:08:56.243503Z"},"content_sha256":"5586136a2a019fef036674f1327f4a905e2cd524cf0981cba9d895c1dfb048f8","schema_version":"1.0","event_id":"sha256:5586136a2a019fef036674f1327f4a905e2cd524cf0981cba9d895c1dfb048f8"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/7CU5A2XIJXTMMKF65WTAG2E54V/bundle.json","state_url":"https://pith.science/pith/7CU5A2XIJXTMMKF65WTAG2E54V/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/7CU5A2XIJXTMMKF65WTAG2E54V/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":"2026-05-19T07:08:56Z","links":{"resolver":"https://pith.science/pith/7CU5A2XIJXTMMKF65WTAG2E54V","bundle":"https://pith.science/pith/7CU5A2XIJXTMMKF65WTAG2E54V/bundle.json","state":"https://pith.science/pith/7CU5A2XIJXTMMKF65WTAG2E54V/state.json","well_known_bundle":"https://pith.science/.well-known/pith/7CU5A2XIJXTMMKF65WTAG2E54V/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2018:7CU5A2XIJXTMMKF65WTAG2E54V","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":"465e7f3c942a51007a2d69dae49903a36b7bf4ec2ce92e9b22aeb1a65f7dcc3f","cross_cats_sorted":["cs.AI","cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2018-05-09T05:44:19Z","title_canon_sha256":"7144f7a591cf573239c9cb3f3d2be4b6b3400a848b7445451b1f677416e1a106"},"schema_version":"1.0","source":{"id":"1805.03379","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1805.03379","created_at":"2026-05-18T00:16:20Z"},{"alias_kind":"arxiv_version","alias_value":"1805.03379v1","created_at":"2026-05-18T00:16:20Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1805.03379","created_at":"2026-05-18T00:16:20Z"},{"alias_kind":"pith_short_12","alias_value":"7CU5A2XIJXTM","created_at":"2026-05-18T12:32:11Z"},{"alias_kind":"pith_short_16","alias_value":"7CU5A2XIJXTMMKF6","created_at":"2026-05-18T12:32:11Z"},{"alias_kind":"pith_short_8","alias_value":"7CU5A2XI","created_at":"2026-05-18T12:32:11Z"}],"graph_snapshots":[{"event_id":"sha256:5586136a2a019fef036674f1327f4a905e2cd524cf0981cba9d895c1dfb048f8","target":"graph","created_at":"2026-05-18T00:16:20Z","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":"Online reviews play an important role in influencing buyers' daily purchase decisions. However, fake and meaningless reviews, which cannot reflect users' genuine purchase experience and opinions, widely exist on the Web and pose great challenges for users to make right choices. Therefore,it is desirable to build a fair model that evaluates the quality of products by distinguishing spamming reviews. We present an end-to-end trainable unified model to leverage the appealing properties from Autoencoder and random forest. A stochastic decision tree model is implemented to guide the global paramete","authors_text":"Boualem Benatallah, Chaoran Huang, Lina Yao, Manqing Dong, Xianzhi Wang, Xiaodong Ning","cross_cats":["cs.AI","cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2018-05-09T05:44:19Z","title":"Opinion Fraud Detection via Neural Autoencoder Decision Forest"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1805.03379","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":"sha256:86adf78c4e7ed979b9c67539a171b4b36d5d4abaecf3663a73cef118c037f6b9","target":"record","created_at":"2026-05-18T00:16:20Z","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":"465e7f3c942a51007a2d69dae49903a36b7bf4ec2ce92e9b22aeb1a65f7dcc3f","cross_cats_sorted":["cs.AI","cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2018-05-09T05:44:19Z","title_canon_sha256":"7144f7a591cf573239c9cb3f3d2be4b6b3400a848b7445451b1f677416e1a106"},"schema_version":"1.0","source":{"id":"1805.03379","kind":"arxiv","version":1}},"canonical_sha256":"f8a9d06ae84de6c628beeda603689de551aac2c52a61af57756e4d9506049123","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"f8a9d06ae84de6c628beeda603689de551aac2c52a61af57756e4d9506049123","first_computed_at":"2026-05-18T00:16:20.365641Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:16:20.365641Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"gct4yWh+xdsOevYGwaxPueUWbTwWt6USZkQdWZWy89QG1/bGBiGPSG5GMU2nZtOouAW8hH57X0mAwkJqiuLkCg==","signature_status":"signed_v1","signed_at":"2026-05-18T00:16:20.366157Z","signed_message":"canonical_sha256_bytes"},"source_id":"1805.03379","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:86adf78c4e7ed979b9c67539a171b4b36d5d4abaecf3663a73cef118c037f6b9","sha256:5586136a2a019fef036674f1327f4a905e2cd524cf0981cba9d895c1dfb048f8"],"state_sha256":"f7ecc10358541d4e489b910f62011c91b5ccb80c2463b192430748fb94cd2017"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"gU6nofZct15titAgcBrGwDYAk+d1xy76DYrhl2GU1Iw8oDhWhOBYl+l5aW31FZv9GofZnhIarVX9ZCyFMRy+Bg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-19T07:08:56.245246Z","bundle_sha256":"0c82036bc2827945f3f86cd2054034a674c09f24a5c16043e422ceccdff2a10d"}}