{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2017:GT2454AE42ZQ6TQ747OEH25H5B","short_pith_number":"pith:GT2454AE","canonical_record":{"source":{"id":"1707.05470","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2017-07-18T05:12:09Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"257cbee1fb12eb6b01da8659bb08c0197ef94c4bf58228d3cddb92fc42ce61c3","abstract_canon_sha256":"0cca35abcfcba085f431c372b1365f5614c1f5467b4f5e0026ee20ea12ba20d4"},"schema_version":"1.0"},"canonical_sha256":"34f5cef004e6b30f4e1fe7dc43eba7e859fe6c659dd6bc4c3be4072abd0e5388","source":{"kind":"arxiv","id":"1707.05470","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1707.05470","created_at":"2026-05-18T00:22:12Z"},{"alias_kind":"arxiv_version","alias_value":"1707.05470v2","created_at":"2026-05-18T00:22:12Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1707.05470","created_at":"2026-05-18T00:22:12Z"},{"alias_kind":"pith_short_12","alias_value":"GT2454AE42ZQ","created_at":"2026-05-18T12:31:18Z"},{"alias_kind":"pith_short_16","alias_value":"GT2454AE42ZQ6TQ7","created_at":"2026-05-18T12:31:18Z"},{"alias_kind":"pith_short_8","alias_value":"GT2454AE","created_at":"2026-05-18T12:31:18Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2017:GT2454AE42ZQ6TQ747OEH25H5B","target":"record","payload":{"canonical_record":{"source":{"id":"1707.05470","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2017-07-18T05:12:09Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"257cbee1fb12eb6b01da8659bb08c0197ef94c4bf58228d3cddb92fc42ce61c3","abstract_canon_sha256":"0cca35abcfcba085f431c372b1365f5614c1f5467b4f5e0026ee20ea12ba20d4"},"schema_version":"1.0"},"canonical_sha256":"34f5cef004e6b30f4e1fe7dc43eba7e859fe6c659dd6bc4c3be4072abd0e5388","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:22:12.005802Z","signature_b64":"K5CgEcrCddX1aT32ZDbhTivchO+gZNiS9a+Pz0GSHiI1lvyJNkovcN14CMwvqLj69TmAhTCv5TQvGGyyC+/kDg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"34f5cef004e6b30f4e1fe7dc43eba7e859fe6c659dd6bc4c3be4072abd0e5388","last_reissued_at":"2026-05-18T00:22:12.005033Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:22:12.005033Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1707.05470","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-18T00:22:12Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"PmtLCEGpeg6LHZNdMTN8Le0erpOKDBTTnO2b5icvVjY1niuXhSfFcN4ls0IgBbjDCpbAiE32ilQsXMZ7eu7BAw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-29T00:41:50.579561Z"},"content_sha256":"5f355cd2adf2aede107958fdaa7a51588cfd28b676f965994488928d3f3515e4","schema_version":"1.0","event_id":"sha256:5f355cd2adf2aede107958fdaa7a51588cfd28b676f965994488928d3f3515e4"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2017:GT2454AE42ZQ6TQ747OEH25H5B","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"DeepProbe: Information Directed Sequence Understanding and Chatbot Design via Recurrent Neural Networks","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.LG"],"primary_cat":"stat.ML","authors_text":"Keng-hao Chang, Ruofei Zhang, Zi Yin","submitted_at":"2017-07-18T05:12:09Z","abstract_excerpt":"Information extraction and user intention identification are central topics in modern query understanding and recommendation systems. In this paper, we propose DeepProbe, a generic information-directed interaction framework which is built around an attention-based sequence to sequence (seq2seq) recurrent neural network. DeepProbe can rephrase, evaluate, and even actively ask questions, leveraging the generative ability and likelihood estimation made possible by seq2seq models. DeepProbe makes decisions based on a derived uncertainty (entropy) measure conditioned on user inputs, possibly with m"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1707.05470","kind":"arxiv","version":2},"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":"2026-05-18T00:22:12Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"KzbNHAozF50WM26XcjuCwBX378t7SwCSZMns0Rn54Un4YmBCOwQ9t+2Gff3fYTgNQ5zb2TvwNOKC4XX5ZI86AA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-29T00:41:50.579905Z"},"content_sha256":"0339649c029e5a9351818ec1bd680f23022646454cdf0c4187ebdd15c734637e","schema_version":"1.0","event_id":"sha256:0339649c029e5a9351818ec1bd680f23022646454cdf0c4187ebdd15c734637e"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/GT2454AE42ZQ6TQ747OEH25H5B/bundle.json","state_url":"https://pith.science/pith/GT2454AE42ZQ6TQ747OEH25H5B/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/GT2454AE42ZQ6TQ747OEH25H5B/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":"2026-06-29T00:41:50Z","links":{"resolver":"https://pith.science/pith/GT2454AE42ZQ6TQ747OEH25H5B","bundle":"https://pith.science/pith/GT2454AE42ZQ6TQ747OEH25H5B/bundle.json","state":"https://pith.science/pith/GT2454AE42ZQ6TQ747OEH25H5B/state.json","well_known_bundle":"https://pith.science/.well-known/pith/GT2454AE42ZQ6TQ747OEH25H5B/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2017:GT2454AE42ZQ6TQ747OEH25H5B","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":"0cca35abcfcba085f431c372b1365f5614c1f5467b4f5e0026ee20ea12ba20d4","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2017-07-18T05:12:09Z","title_canon_sha256":"257cbee1fb12eb6b01da8659bb08c0197ef94c4bf58228d3cddb92fc42ce61c3"},"schema_version":"1.0","source":{"id":"1707.05470","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1707.05470","created_at":"2026-05-18T00:22:12Z"},{"alias_kind":"arxiv_version","alias_value":"1707.05470v2","created_at":"2026-05-18T00:22:12Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1707.05470","created_at":"2026-05-18T00:22:12Z"},{"alias_kind":"pith_short_12","alias_value":"GT2454AE42ZQ","created_at":"2026-05-18T12:31:18Z"},{"alias_kind":"pith_short_16","alias_value":"GT2454AE42ZQ6TQ7","created_at":"2026-05-18T12:31:18Z"},{"alias_kind":"pith_short_8","alias_value":"GT2454AE","created_at":"2026-05-18T12:31:18Z"}],"graph_snapshots":[{"event_id":"sha256:0339649c029e5a9351818ec1bd680f23022646454cdf0c4187ebdd15c734637e","target":"graph","created_at":"2026-05-18T00:22:12Z","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":"Information extraction and user intention identification are central topics in modern query understanding and recommendation systems. In this paper, we propose DeepProbe, a generic information-directed interaction framework which is built around an attention-based sequence to sequence (seq2seq) recurrent neural network. DeepProbe can rephrase, evaluate, and even actively ask questions, leveraging the generative ability and likelihood estimation made possible by seq2seq models. DeepProbe makes decisions based on a derived uncertainty (entropy) measure conditioned on user inputs, possibly with m","authors_text":"Keng-hao Chang, Ruofei Zhang, Zi Yin","cross_cats":["cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2017-07-18T05:12:09Z","title":"DeepProbe: Information Directed Sequence Understanding and Chatbot Design via Recurrent Neural Networks"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1707.05470","kind":"arxiv","version":2},"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":"sha256:5f355cd2adf2aede107958fdaa7a51588cfd28b676f965994488928d3f3515e4","target":"record","created_at":"2026-05-18T00:22:12Z","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":"0cca35abcfcba085f431c372b1365f5614c1f5467b4f5e0026ee20ea12ba20d4","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2017-07-18T05:12:09Z","title_canon_sha256":"257cbee1fb12eb6b01da8659bb08c0197ef94c4bf58228d3cddb92fc42ce61c3"},"schema_version":"1.0","source":{"id":"1707.05470","kind":"arxiv","version":2}},"canonical_sha256":"34f5cef004e6b30f4e1fe7dc43eba7e859fe6c659dd6bc4c3be4072abd0e5388","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"34f5cef004e6b30f4e1fe7dc43eba7e859fe6c659dd6bc4c3be4072abd0e5388","first_computed_at":"2026-05-18T00:22:12.005033Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:22:12.005033Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"K5CgEcrCddX1aT32ZDbhTivchO+gZNiS9a+Pz0GSHiI1lvyJNkovcN14CMwvqLj69TmAhTCv5TQvGGyyC+/kDg==","signature_status":"signed_v1","signed_at":"2026-05-18T00:22:12.005802Z","signed_message":"canonical_sha256_bytes"},"source_id":"1707.05470","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:5f355cd2adf2aede107958fdaa7a51588cfd28b676f965994488928d3f3515e4","sha256:0339649c029e5a9351818ec1bd680f23022646454cdf0c4187ebdd15c734637e"],"state_sha256":"430a20914fe5a10ccf348f70ae312321fb8c1a3d1aef3bb4ceb055f8b2a5c717"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"6FQ0GzLrmW9TW4i9XrbkZvECf9MNhR9X6Hm9x/y6sv5WTuQYgNSvrPCgK5GnRTjXBglvuH3f6ynu3zanKfucCg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-29T00:41:50.582381Z","bundle_sha256":"ff1c750ab1471269532e2b77b108bac37c0c7d3a375cd298162649980afb83cf"}}