{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:VN4YXUYDBNVHSDRGT2JTDNUTVT","short_pith_number":"pith:VN4YXUYD","canonical_record":{"source":{"id":"2506.05400","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2025-06-03T23:33:39Z","cross_cats_sorted":[],"title_canon_sha256":"f6c033dc8e575bc1e058046691fd7c7075fe3a709a0f093ce785407a112b2c4e","abstract_canon_sha256":"a5bc0762ff72cb2d2fd87038bdf71b646981d6132f8e0467d509fbc40fcd5215"},"schema_version":"1.0"},"canonical_sha256":"ab798bd3030b6a790e269e9331b693ace259ea6ad9ad1c63fb778f2a69c240ac","source":{"kind":"arxiv","id":"2506.05400","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2506.05400","created_at":"2026-07-05T11:17:02Z"},{"alias_kind":"arxiv_version","alias_value":"2506.05400v1","created_at":"2026-07-05T11:17:02Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2506.05400","created_at":"2026-07-05T11:17:02Z"},{"alias_kind":"pith_short_12","alias_value":"VN4YXUYDBNVH","created_at":"2026-07-05T11:17:02Z"},{"alias_kind":"pith_short_16","alias_value":"VN4YXUYDBNVHSDRG","created_at":"2026-07-05T11:17:02Z"},{"alias_kind":"pith_short_8","alias_value":"VN4YXUYD","created_at":"2026-07-05T11:17:02Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:VN4YXUYDBNVHSDRGT2JTDNUTVT","target":"record","payload":{"canonical_record":{"source":{"id":"2506.05400","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2025-06-03T23:33:39Z","cross_cats_sorted":[],"title_canon_sha256":"f6c033dc8e575bc1e058046691fd7c7075fe3a709a0f093ce785407a112b2c4e","abstract_canon_sha256":"a5bc0762ff72cb2d2fd87038bdf71b646981d6132f8e0467d509fbc40fcd5215"},"schema_version":"1.0"},"canonical_sha256":"ab798bd3030b6a790e269e9331b693ace259ea6ad9ad1c63fb778f2a69c240ac","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:17:02.007106Z","signature_b64":"Z9IPBJ15rlBFbrs6Mx+Nh1mbv2dVcoWHIjxFFrXznsyikQ7kPLUe2OdRC8lhjGcNdF7HjrG+wOqaVESlljwsAg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"ab798bd3030b6a790e269e9331b693ace259ea6ad9ad1c63fb778f2a69c240ac","last_reissued_at":"2026-07-05T11:17:02.006651Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:17:02.006651Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2506.05400","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":"2026-07-05T11:17:02Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"UrJDvdxERSVbYzIJKolrG/og1snFRwxxAdaW2wg4ts9dDlPUycZTRx2GwTdCpa0dY1/leQAJvKhfBLFPV9vzAg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-08T15:03:08.478916Z"},"content_sha256":"3e0a488a0eabce1cb19941aeb00bf9a6738e2df6b3d83731b0dba8e3ce4f7960","schema_version":"1.0","event_id":"sha256:3e0a488a0eabce1cb19941aeb00bf9a6738e2df6b3d83731b0dba8e3ce4f7960"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:VN4YXUYDBNVHSDRGT2JTDNUTVT","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Auto Review: Second Stage Error Detection for Highly Accurate Information Extraction from Phone Conversations","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CL","authors_text":"Arushi Raghuvanshi, Ayesha Qamar, Conal Sathi, Youngseo Son","submitted_at":"2025-06-03T23:33:39Z","abstract_excerpt":"Automating benefit verification phone calls saves time in healthcare and helps patients receive treatment faster. It is critical to obtain highly accurate information in these phone calls, as it can affect a patient's healthcare journey. Given the noise in phone call transcripts, we have a two-stage system that involves a post-call review phase for potentially noisy fields, where human reviewers manually verify the extracted data$\\unicode{x2013}$a labor-intensive task. To automate this stage, we introduce Auto Review, which significantly reduces manual effort while maintaining a high bar for a"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2506.05400","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/2506.05400/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"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T11:17:02Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Jr3QkzqxlGyihTzrCps9MtQgfAFKxxmIHAMIPz0016Cs+McRhJQbMbOfEg0cDSERfWBeSyeA0jUoAstV4VS8Dg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-08T15:03:08.479905Z"},"content_sha256":"c086d9520b3170fd90b9bf0f38b883ec3425e3c59161ebc64bd78c6953f10796","schema_version":"1.0","event_id":"sha256:c086d9520b3170fd90b9bf0f38b883ec3425e3c59161ebc64bd78c6953f10796"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/VN4YXUYDBNVHSDRGT2JTDNUTVT/bundle.json","state_url":"https://pith.science/pith/VN4YXUYDBNVHSDRGT2JTDNUTVT/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/VN4YXUYDBNVHSDRGT2JTDNUTVT/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":"2026-08-08T15:03:08Z","links":{"resolver":"https://pith.science/pith/VN4YXUYDBNVHSDRGT2JTDNUTVT","bundle":"https://pith.science/pith/VN4YXUYDBNVHSDRGT2JTDNUTVT/bundle.json","state":"https://pith.science/pith/VN4YXUYDBNVHSDRGT2JTDNUTVT/state.json","well_known_bundle":"https://pith.science/.well-known/pith/VN4YXUYDBNVHSDRGT2JTDNUTVT/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:VN4YXUYDBNVHSDRGT2JTDNUTVT","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":"a5bc0762ff72cb2d2fd87038bdf71b646981d6132f8e0467d509fbc40fcd5215","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2025-06-03T23:33:39Z","title_canon_sha256":"f6c033dc8e575bc1e058046691fd7c7075fe3a709a0f093ce785407a112b2c4e"},"schema_version":"1.0","source":{"id":"2506.05400","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2506.05400","created_at":"2026-07-05T11:17:02Z"},{"alias_kind":"arxiv_version","alias_value":"2506.05400v1","created_at":"2026-07-05T11:17:02Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2506.05400","created_at":"2026-07-05T11:17:02Z"},{"alias_kind":"pith_short_12","alias_value":"VN4YXUYDBNVH","created_at":"2026-07-05T11:17:02Z"},{"alias_kind":"pith_short_16","alias_value":"VN4YXUYDBNVHSDRG","created_at":"2026-07-05T11:17:02Z"},{"alias_kind":"pith_short_8","alias_value":"VN4YXUYD","created_at":"2026-07-05T11:17:02Z"}],"graph_snapshots":[{"event_id":"sha256:c086d9520b3170fd90b9bf0f38b883ec3425e3c59161ebc64bd78c6953f10796","target":"graph","created_at":"2026-07-05T11:17:02Z","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"},"integrity":{"available":true,"clean":true,"detectors_run":[],"endpoint":"/pith/2506.05400/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Automating benefit verification phone calls saves time in healthcare and helps patients receive treatment faster. It is critical to obtain highly accurate information in these phone calls, as it can affect a patient's healthcare journey. Given the noise in phone call transcripts, we have a two-stage system that involves a post-call review phase for potentially noisy fields, where human reviewers manually verify the extracted data$\\unicode{x2013}$a labor-intensive task. To automate this stage, we introduce Auto Review, which significantly reduces manual effort while maintaining a high bar for a","authors_text":"Arushi Raghuvanshi, Ayesha Qamar, Conal Sathi, Youngseo Son","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2025-06-03T23:33:39Z","title":"Auto Review: Second Stage Error Detection for Highly Accurate Information Extraction from Phone Conversations"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2506.05400","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":"sha256:3e0a488a0eabce1cb19941aeb00bf9a6738e2df6b3d83731b0dba8e3ce4f7960","target":"record","created_at":"2026-07-05T11:17:02Z","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":"a5bc0762ff72cb2d2fd87038bdf71b646981d6132f8e0467d509fbc40fcd5215","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2025-06-03T23:33:39Z","title_canon_sha256":"f6c033dc8e575bc1e058046691fd7c7075fe3a709a0f093ce785407a112b2c4e"},"schema_version":"1.0","source":{"id":"2506.05400","kind":"arxiv","version":1}},"canonical_sha256":"ab798bd3030b6a790e269e9331b693ace259ea6ad9ad1c63fb778f2a69c240ac","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"ab798bd3030b6a790e269e9331b693ace259ea6ad9ad1c63fb778f2a69c240ac","first_computed_at":"2026-07-05T11:17:02.006651Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:17:02.006651Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"Z9IPBJ15rlBFbrs6Mx+Nh1mbv2dVcoWHIjxFFrXznsyikQ7kPLUe2OdRC8lhjGcNdF7HjrG+wOqaVESlljwsAg==","signature_status":"signed_v1","signed_at":"2026-07-05T11:17:02.007106Z","signed_message":"canonical_sha256_bytes"},"source_id":"2506.05400","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:3e0a488a0eabce1cb19941aeb00bf9a6738e2df6b3d83731b0dba8e3ce4f7960","sha256:c086d9520b3170fd90b9bf0f38b883ec3425e3c59161ebc64bd78c6953f10796"],"state_sha256":"89965acacbff55ff1ef778f313bd8db71b4448903b6ea263b5652a9c7d2c1453"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"hCGRLXpedm0dJNOi6ktWxo88rGpWW3lsxpS2xnJpSMOSN0WbUZeBGX8qVwan5csIHUkyreJ0PUD/mAp+HRK0Bg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-08T15:03:08.487030Z","bundle_sha256":"a87cefa2637d2c433b583ab9b26b8c92823268b0e373937c415269bf8b6b5e74"}}