{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2019:BABCCPTY4IZAPJPYW6Y7NFRJR6","short_pith_number":"pith:BABCCPTY","canonical_record":{"source":{"id":"1907.05403","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2019-07-11T17:35:20Z","cross_cats_sorted":[],"title_canon_sha256":"fc3ac67596726001d0dc47acfea3f5935c3d64b8ac8514041f48df4ea9814a80","abstract_canon_sha256":"ea2fa66fa6eeadc3a2192dd50bde933cb64dc8f5c9412fbaab50d47b2859e498"},"schema_version":"1.0"},"canonical_sha256":"0802213e78e23207a5f8b7b1f696298f9ae34604fd3bf823471ea92785c788ab","source":{"kind":"arxiv","id":"1907.05403","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1907.05403","created_at":"2026-05-17T23:40:50Z"},{"alias_kind":"arxiv_version","alias_value":"1907.05403v1","created_at":"2026-05-17T23:40:50Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1907.05403","created_at":"2026-05-17T23:40:50Z"},{"alias_kind":"pith_short_12","alias_value":"BABCCPTY4IZA","created_at":"2026-05-18T12:33:12Z"},{"alias_kind":"pith_short_16","alias_value":"BABCCPTY4IZAPJPY","created_at":"2026-05-18T12:33:12Z"},{"alias_kind":"pith_short_8","alias_value":"BABCCPTY","created_at":"2026-05-18T12:33:12Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2019:BABCCPTY4IZAPJPYW6Y7NFRJR6","target":"record","payload":{"canonical_record":{"source":{"id":"1907.05403","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2019-07-11T17:35:20Z","cross_cats_sorted":[],"title_canon_sha256":"fc3ac67596726001d0dc47acfea3f5935c3d64b8ac8514041f48df4ea9814a80","abstract_canon_sha256":"ea2fa66fa6eeadc3a2192dd50bde933cb64dc8f5c9412fbaab50d47b2859e498"},"schema_version":"1.0"},"canonical_sha256":"0802213e78e23207a5f8b7b1f696298f9ae34604fd3bf823471ea92785c788ab","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-17T23:40:50.374299Z","signature_b64":"K5v1zKzK0SZ28f3odU1OnzevjDU51AcAlobYUcAB3KbnboI4MCSgwXnfuezvry/Q6VW/9vyqwJuh0WVVW9lNCw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"0802213e78e23207a5f8b7b1f696298f9ae34604fd3bf823471ea92785c788ab","last_reissued_at":"2026-05-17T23:40:50.373542Z","signature_status":"signed_v1","first_computed_at":"2026-05-17T23:40:50.373542Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1907.05403","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":"2026-05-17T23:40:50Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"z5pGX3hPlKV8az+h82t76RaHY/zaNDMN7fTJKyl0OuTh9WiKqZzuVmIzpwrAE/tBU5X9he9qCFFSI0lIitD3Bg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-28T12:31:53.782198Z"},"content_sha256":"bff803bb1ab041a17f8aaa0640fd60e9b0ce2c845ed1796dd9f0a454f56ee18a","schema_version":"1.0","event_id":"sha256:bff803bb1ab041a17f8aaa0640fd60e9b0ce2c845ed1796dd9f0a454f56ee18a"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2019:BABCCPTY4IZAPJPYW6Y7NFRJR6","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Incrementalizing RASA's Open-Source Natural Language Understanding Pipeline","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CL","authors_text":"Andrew Rafla, Casey Kennington","submitted_at":"2019-07-11T17:35:20Z","abstract_excerpt":"As spoken dialogue systems and chatbots are gaining more widespread adoption, commercial and open-sourced services for natural language understanding are emerging. In this paper, we explain how we altered the open-source RASA natural language understanding pipeline to process incrementally (i.e., word-by-word), following the incremental unit framework proposed by Schlangen and Skantze. To do so, we altered existing RASA components to process incrementally, and added an update-incremental intent recognition model as a component to RASA. Our evaluations on the Snips dataset show that our changes"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1907.05403","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":"2026-05-17T23:40:50Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"emz4ga7GmUXOck2atnswqkOKiPqO23ftSQRZ7/IGhyAQIH+U4i2yWfzbECPuRmymYMQRBlcYDdmToZqYVnqhAQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-28T12:31:53.782547Z"},"content_sha256":"fd5227791f538f84ba0490d6ec8fc81f6b835cefdce04dbe4bcd9a0448b01121","schema_version":"1.0","event_id":"sha256:fd5227791f538f84ba0490d6ec8fc81f6b835cefdce04dbe4bcd9a0448b01121"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/BABCCPTY4IZAPJPYW6Y7NFRJR6/bundle.json","state_url":"https://pith.science/pith/BABCCPTY4IZAPJPYW6Y7NFRJR6/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/BABCCPTY4IZAPJPYW6Y7NFRJR6/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":"2026-06-28T12:31:53Z","links":{"resolver":"https://pith.science/pith/BABCCPTY4IZAPJPYW6Y7NFRJR6","bundle":"https://pith.science/pith/BABCCPTY4IZAPJPYW6Y7NFRJR6/bundle.json","state":"https://pith.science/pith/BABCCPTY4IZAPJPYW6Y7NFRJR6/state.json","well_known_bundle":"https://pith.science/.well-known/pith/BABCCPTY4IZAPJPYW6Y7NFRJR6/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2019:BABCCPTY4IZAPJPYW6Y7NFRJR6","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":"ea2fa66fa6eeadc3a2192dd50bde933cb64dc8f5c9412fbaab50d47b2859e498","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2019-07-11T17:35:20Z","title_canon_sha256":"fc3ac67596726001d0dc47acfea3f5935c3d64b8ac8514041f48df4ea9814a80"},"schema_version":"1.0","source":{"id":"1907.05403","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1907.05403","created_at":"2026-05-17T23:40:50Z"},{"alias_kind":"arxiv_version","alias_value":"1907.05403v1","created_at":"2026-05-17T23:40:50Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1907.05403","created_at":"2026-05-17T23:40:50Z"},{"alias_kind":"pith_short_12","alias_value":"BABCCPTY4IZA","created_at":"2026-05-18T12:33:12Z"},{"alias_kind":"pith_short_16","alias_value":"BABCCPTY4IZAPJPY","created_at":"2026-05-18T12:33:12Z"},{"alias_kind":"pith_short_8","alias_value":"BABCCPTY","created_at":"2026-05-18T12:33:12Z"}],"graph_snapshots":[{"event_id":"sha256:fd5227791f538f84ba0490d6ec8fc81f6b835cefdce04dbe4bcd9a0448b01121","target":"graph","created_at":"2026-05-17T23:40:50Z","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":"As spoken dialogue systems and chatbots are gaining more widespread adoption, commercial and open-sourced services for natural language understanding are emerging. In this paper, we explain how we altered the open-source RASA natural language understanding pipeline to process incrementally (i.e., word-by-word), following the incremental unit framework proposed by Schlangen and Skantze. To do so, we altered existing RASA components to process incrementally, and added an update-incremental intent recognition model as a component to RASA. Our evaluations on the Snips dataset show that our changes","authors_text":"Andrew Rafla, Casey Kennington","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2019-07-11T17:35:20Z","title":"Incrementalizing RASA's Open-Source Natural Language Understanding Pipeline"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1907.05403","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:bff803bb1ab041a17f8aaa0640fd60e9b0ce2c845ed1796dd9f0a454f56ee18a","target":"record","created_at":"2026-05-17T23:40:50Z","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":"ea2fa66fa6eeadc3a2192dd50bde933cb64dc8f5c9412fbaab50d47b2859e498","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2019-07-11T17:35:20Z","title_canon_sha256":"fc3ac67596726001d0dc47acfea3f5935c3d64b8ac8514041f48df4ea9814a80"},"schema_version":"1.0","source":{"id":"1907.05403","kind":"arxiv","version":1}},"canonical_sha256":"0802213e78e23207a5f8b7b1f696298f9ae34604fd3bf823471ea92785c788ab","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"0802213e78e23207a5f8b7b1f696298f9ae34604fd3bf823471ea92785c788ab","first_computed_at":"2026-05-17T23:40:50.373542Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-17T23:40:50.373542Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"K5v1zKzK0SZ28f3odU1OnzevjDU51AcAlobYUcAB3KbnboI4MCSgwXnfuezvry/Q6VW/9vyqwJuh0WVVW9lNCw==","signature_status":"signed_v1","signed_at":"2026-05-17T23:40:50.374299Z","signed_message":"canonical_sha256_bytes"},"source_id":"1907.05403","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:bff803bb1ab041a17f8aaa0640fd60e9b0ce2c845ed1796dd9f0a454f56ee18a","sha256:fd5227791f538f84ba0490d6ec8fc81f6b835cefdce04dbe4bcd9a0448b01121"],"state_sha256":"20c34fff6c3ae6f6efd44b45d7f2be8c65fe3ec650ae51dd6fee15940bc3dfb8"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"uraIFIIyMl0vkmrojXeV+4J0qmL4/7NON6rWGTo0QTmw7MkCRhUwO6XzdTEeUFl449pLOGjkkfD0x0yqDOWNBA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-28T12:31:53.784404Z","bundle_sha256":"5014e5aa583fdaa38bd8ec56ad6b2e33ef795cd8b20f57b388e184263084b645"}}