{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2021:KHMBJJMEWBVSWP7CXBRNBA5RSO","short_pith_number":"pith:KHMBJJME","schema_version":"1.0","canonical_sha256":"51d814a584b06b2b3fe2b862d083b193a28861fac456e16f82e835f570d0a5e5","source":{"kind":"arxiv","id":"2108.09597","version":1},"attestation_state":"computed","paper":{"title":"Hierarchical Summarization for Longform Spoken Dialog","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.CL","authors_text":"Albert Tung, Daniel Li, Lydia Chilton, Thomas Chen","submitted_at":"2021-08-21T23:31:31Z","abstract_excerpt":"Every day we are surrounded by spoken dialog. This medium delivers rich diverse streams of information auditorily; however, systematically understanding dialog can often be non-trivial. Despite the pervasiveness of spoken dialog, automated speech understanding and quality information extraction remains markedly poor, especially when compared to written prose. Furthermore, compared to understanding text, auditory communication poses many additional challenges such as speaker disfluencies, informal prose styles, and lack of structure. These concerns all demonstrate the need for a distinctly spee"},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"2108.09597","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2021-08-21T23:31:31Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"a75eb6794ad500a09b27c71a520f3c098d02813dc41bca70366ca87301c38944","abstract_canon_sha256":"27095ad8bd3f12a8abe50bdbb3f2926e9c52833d43fc7115e96ca4351838f4df"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T03:07:56.046828Z","signature_b64":"odJuP/+TbQgQXx6aWpf/qlKtk56uIayUDpEbP0vTtbzYSrRBEgp4NGCTT/xOynjfiuCZxBKEdkgkM8fll+nMCw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"51d814a584b06b2b3fe2b862d083b193a28861fac456e16f82e835f570d0a5e5","last_reissued_at":"2026-07-05T03:07:56.046483Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T03:07:56.046483Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Hierarchical Summarization for Longform Spoken Dialog","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.CL","authors_text":"Albert Tung, Daniel Li, Lydia Chilton, Thomas Chen","submitted_at":"2021-08-21T23:31:31Z","abstract_excerpt":"Every day we are surrounded by spoken dialog. This medium delivers rich diverse streams of information auditorily; however, systematically understanding dialog can often be non-trivial. Despite the pervasiveness of spoken dialog, automated speech understanding and quality information extraction remains markedly poor, especially when compared to written prose. Furthermore, compared to understanding text, auditory communication poses many additional challenges such as speaker disfluencies, informal prose styles, and lack of structure. These concerns all demonstrate the need for a distinctly spee"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2108.09597","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":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2108.09597/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"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"},"aliases":[{"alias_kind":"arxiv","alias_value":"2108.09597","created_at":"2026-07-05T03:07:56.046539+00:00"},{"alias_kind":"arxiv_version","alias_value":"2108.09597v1","created_at":"2026-07-05T03:07:56.046539+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2108.09597","created_at":"2026-07-05T03:07:56.046539+00:00"},{"alias_kind":"pith_short_12","alias_value":"KHMBJJMEWBVS","created_at":"2026-07-05T03:07:56.046539+00:00"},{"alias_kind":"pith_short_16","alias_value":"KHMBJJMEWBVSWP7C","created_at":"2026-07-05T03:07:56.046539+00:00"},{"alias_kind":"pith_short_8","alias_value":"KHMBJJME","created_at":"2026-07-05T03:07:56.046539+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/KHMBJJMEWBVSWP7CXBRNBA5RSO","json":"https://pith.science/pith/KHMBJJMEWBVSWP7CXBRNBA5RSO.json","graph_json":"https://pith.science/api/pith-number/KHMBJJMEWBVSWP7CXBRNBA5RSO/graph.json","events_json":"https://pith.science/api/pith-number/KHMBJJMEWBVSWP7CXBRNBA5RSO/events.json","paper":"https://pith.science/paper/KHMBJJME"},"agent_actions":{"view_html":"https://pith.science/pith/KHMBJJMEWBVSWP7CXBRNBA5RSO","download_json":"https://pith.science/pith/KHMBJJMEWBVSWP7CXBRNBA5RSO.json","view_paper":"https://pith.science/paper/KHMBJJME","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2108.09597&json=true","fetch_graph":"https://pith.science/api/pith-number/KHMBJJMEWBVSWP7CXBRNBA5RSO/graph.json","fetch_events":"https://pith.science/api/pith-number/KHMBJJMEWBVSWP7CXBRNBA5RSO/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/KHMBJJMEWBVSWP7CXBRNBA5RSO/action/timestamp_anchor","attest_storage":"https://pith.science/pith/KHMBJJMEWBVSWP7CXBRNBA5RSO/action/storage_attestation","attest_author":"https://pith.science/pith/KHMBJJMEWBVSWP7CXBRNBA5RSO/action/author_attestation","sign_citation":"https://pith.science/pith/KHMBJJMEWBVSWP7CXBRNBA5RSO/action/citation_signature","submit_replication":"https://pith.science/pith/KHMBJJMEWBVSWP7CXBRNBA5RSO/action/replication_record"}},"created_at":"2026-07-05T03:07:56.046539+00:00","updated_at":"2026-07-05T03:07:56.046539+00:00"}