{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2018:LOLHC5CA44TBJUT4I6SQXUR2FE","short_pith_number":"pith:LOLHC5CA","canonical_record":{"source":{"id":"1806.11461","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2018-06-29T15:07:17Z","cross_cats_sorted":[],"title_canon_sha256":"6b718832633c21036d13aa85a8184ceaeea715f69c8b808bf6c429dda4249ea7","abstract_canon_sha256":"d19521c77cda46ae73e888e8589f978e98ab863dda76a8a0a9b39d4c55063e63"},"schema_version":"1.0"},"canonical_sha256":"5b96717440e72614d27c47a50bd23a292ea36aed3e1fc3331f362628b4c225c5","source":{"kind":"arxiv","id":"1806.11461","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1806.11461","created_at":"2026-05-18T00:12:01Z"},{"alias_kind":"arxiv_version","alias_value":"1806.11461v1","created_at":"2026-05-18T00:12:01Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1806.11461","created_at":"2026-05-18T00:12:01Z"},{"alias_kind":"pith_short_12","alias_value":"LOLHC5CA44TB","created_at":"2026-05-18T12:32:37Z"},{"alias_kind":"pith_short_16","alias_value":"LOLHC5CA44TBJUT4","created_at":"2026-05-18T12:32:37Z"},{"alias_kind":"pith_short_8","alias_value":"LOLHC5CA","created_at":"2026-05-18T12:32:37Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2018:LOLHC5CA44TBJUT4I6SQXUR2FE","target":"record","payload":{"canonical_record":{"source":{"id":"1806.11461","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2018-06-29T15:07:17Z","cross_cats_sorted":[],"title_canon_sha256":"6b718832633c21036d13aa85a8184ceaeea715f69c8b808bf6c429dda4249ea7","abstract_canon_sha256":"d19521c77cda46ae73e888e8589f978e98ab863dda76a8a0a9b39d4c55063e63"},"schema_version":"1.0"},"canonical_sha256":"5b96717440e72614d27c47a50bd23a292ea36aed3e1fc3331f362628b4c225c5","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:12:01.809434Z","signature_b64":"f4X32w4LA/LaeJc+2RGgb2TnJA2e9c7SoMCrqwgpMzkYPXbYD7GFzPHXGc918OmuNGorLsuC8RjI81h1W/B1Bw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"5b96717440e72614d27c47a50bd23a292ea36aed3e1fc3331f362628b4c225c5","last_reissued_at":"2026-05-18T00:12:01.808911Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:12:01.808911Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1806.11461","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":"2026-05-18T00:12:01Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"IOoe1S970mYTVy0bVwBCnVT3e6Ww1sDqpcVKijj1+kbqn6GryBQVvR4Nqy3VwcXSak1VhRgrasAo1+iWCWQ5DQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-29T22:28:55.275542Z"},"content_sha256":"79e0bea2951c6f9af7cd368e6db963bb02b66e0b4c8206dae261688e6dbeed4b","schema_version":"1.0","event_id":"sha256:79e0bea2951c6f9af7cd368e6db963bb02b66e0b4c8206dae261688e6dbeed4b"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2018:LOLHC5CA44TBJUT4I6SQXUR2FE","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Investigating Speech Features for Continuous Turn-Taking Prediction Using LSTMs","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CL","authors_text":"Gabriel Skantze, Matthew Roddy, Naomi Harte","submitted_at":"2018-06-29T15:07:17Z","abstract_excerpt":"For spoken dialog systems to conduct fluid conversational interactions with users, the systems must be sensitive to turn-taking cues produced by a user. Models should be designed so that effective decisions can be made as to when it is appropriate, or not, for the system to speak. Traditional end-of-turn models, where decisions are made at utterance end-points, are limited in their ability to model fast turn-switches and overlap. A more flexible approach is to model turn-taking in a continuous manner using RNNs, where the system predicts speech probability scores for discrete frames within a f"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1806.11461","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":"2026-05-18T00:12:01Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"vEmMxmFj8I8mb4CNq/2YQwEqOBLkMyJvXJLtSxrEAixcHUCQsMseMcEZwwsTVOCmZCKsv4aV/KQYs6fFhGZMCg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-29T22:28:55.276183Z"},"content_sha256":"a099a6f793c9c1dd810eb76532d15407e03c1c0a22b72d9c8867e07d58c3d96c","schema_version":"1.0","event_id":"sha256:a099a6f793c9c1dd810eb76532d15407e03c1c0a22b72d9c8867e07d58c3d96c"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/LOLHC5CA44TBJUT4I6SQXUR2FE/bundle.json","state_url":"https://pith.science/pith/LOLHC5CA44TBJUT4I6SQXUR2FE/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/LOLHC5CA44TBJUT4I6SQXUR2FE/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":"2026-05-29T22:28:55Z","links":{"resolver":"https://pith.science/pith/LOLHC5CA44TBJUT4I6SQXUR2FE","bundle":"https://pith.science/pith/LOLHC5CA44TBJUT4I6SQXUR2FE/bundle.json","state":"https://pith.science/pith/LOLHC5CA44TBJUT4I6SQXUR2FE/state.json","well_known_bundle":"https://pith.science/.well-known/pith/LOLHC5CA44TBJUT4I6SQXUR2FE/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2018:LOLHC5CA44TBJUT4I6SQXUR2FE","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":"d19521c77cda46ae73e888e8589f978e98ab863dda76a8a0a9b39d4c55063e63","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2018-06-29T15:07:17Z","title_canon_sha256":"6b718832633c21036d13aa85a8184ceaeea715f69c8b808bf6c429dda4249ea7"},"schema_version":"1.0","source":{"id":"1806.11461","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1806.11461","created_at":"2026-05-18T00:12:01Z"},{"alias_kind":"arxiv_version","alias_value":"1806.11461v1","created_at":"2026-05-18T00:12:01Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1806.11461","created_at":"2026-05-18T00:12:01Z"},{"alias_kind":"pith_short_12","alias_value":"LOLHC5CA44TB","created_at":"2026-05-18T12:32:37Z"},{"alias_kind":"pith_short_16","alias_value":"LOLHC5CA44TBJUT4","created_at":"2026-05-18T12:32:37Z"},{"alias_kind":"pith_short_8","alias_value":"LOLHC5CA","created_at":"2026-05-18T12:32:37Z"}],"graph_snapshots":[{"event_id":"sha256:a099a6f793c9c1dd810eb76532d15407e03c1c0a22b72d9c8867e07d58c3d96c","target":"graph","created_at":"2026-05-18T00:12:01Z","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":"For spoken dialog systems to conduct fluid conversational interactions with users, the systems must be sensitive to turn-taking cues produced by a user. Models should be designed so that effective decisions can be made as to when it is appropriate, or not, for the system to speak. Traditional end-of-turn models, where decisions are made at utterance end-points, are limited in their ability to model fast turn-switches and overlap. A more flexible approach is to model turn-taking in a continuous manner using RNNs, where the system predicts speech probability scores for discrete frames within a f","authors_text":"Gabriel Skantze, Matthew Roddy, Naomi Harte","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2018-06-29T15:07:17Z","title":"Investigating Speech Features for Continuous Turn-Taking Prediction Using LSTMs"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1806.11461","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":"sha256:79e0bea2951c6f9af7cd368e6db963bb02b66e0b4c8206dae261688e6dbeed4b","target":"record","created_at":"2026-05-18T00:12:01Z","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":"d19521c77cda46ae73e888e8589f978e98ab863dda76a8a0a9b39d4c55063e63","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2018-06-29T15:07:17Z","title_canon_sha256":"6b718832633c21036d13aa85a8184ceaeea715f69c8b808bf6c429dda4249ea7"},"schema_version":"1.0","source":{"id":"1806.11461","kind":"arxiv","version":1}},"canonical_sha256":"5b96717440e72614d27c47a50bd23a292ea36aed3e1fc3331f362628b4c225c5","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"5b96717440e72614d27c47a50bd23a292ea36aed3e1fc3331f362628b4c225c5","first_computed_at":"2026-05-18T00:12:01.808911Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:12:01.808911Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"f4X32w4LA/LaeJc+2RGgb2TnJA2e9c7SoMCrqwgpMzkYPXbYD7GFzPHXGc918OmuNGorLsuC8RjI81h1W/B1Bw==","signature_status":"signed_v1","signed_at":"2026-05-18T00:12:01.809434Z","signed_message":"canonical_sha256_bytes"},"source_id":"1806.11461","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:79e0bea2951c6f9af7cd368e6db963bb02b66e0b4c8206dae261688e6dbeed4b","sha256:a099a6f793c9c1dd810eb76532d15407e03c1c0a22b72d9c8867e07d58c3d96c"],"state_sha256":"3fc50cdd04f9a31b8cdcd6dcc2add1ba404138825376e6ecb6610117add1d716"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"qLhdPB8P8VJIfNeiO1Re/lS2UQQYfC86TEKcwk0mAaB3W+kQGHFRi6wEGEFIBgqyq5JtA5I/NWo+MWyWSliHAw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-29T22:28:55.279852Z","bundle_sha256":"dd587613ab10644b5b7669883d075d6cc3b1dc0e4632727b3dc1ce4a796dfd80"}}