{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:6XATNZWU7F67SEZ2F5FSB7CUVJ","short_pith_number":"pith:6XATNZWU","canonical_record":{"source":{"id":"2505.04152","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.CL","submitted_at":"2025-05-07T06:03:37Z","cross_cats_sorted":["cs.CY","cs.HC"],"title_canon_sha256":"86a1eb1dee8a2d3ba746a6f2c167b3e5dbf1d34503ec1e2fa6870b189575b961","abstract_canon_sha256":"65b6157afd4695742e7ff2703213840a85b1901d387cbad22ac01168cc0b15d6"},"schema_version":"1.0"},"canonical_sha256":"f5c136e6d4f97df9133a2f4b20fc54aa495b2160139eeeaa837dad95605ca4fa","source":{"kind":"arxiv","id":"2505.04152","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2505.04152","created_at":"2026-05-18T03:09:35Z"},{"alias_kind":"arxiv_version","alias_value":"2505.04152v2","created_at":"2026-05-18T03:09:35Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2505.04152","created_at":"2026-05-18T03:09:35Z"},{"alias_kind":"pith_short_12","alias_value":"6XATNZWU7F67","created_at":"2026-05-18T12:33:37Z"},{"alias_kind":"pith_short_16","alias_value":"6XATNZWU7F67SEZ2","created_at":"2026-05-18T12:33:37Z"},{"alias_kind":"pith_short_8","alias_value":"6XATNZWU","created_at":"2026-05-18T12:33:37Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:6XATNZWU7F67SEZ2F5FSB7CUVJ","target":"record","payload":{"canonical_record":{"source":{"id":"2505.04152","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.CL","submitted_at":"2025-05-07T06:03:37Z","cross_cats_sorted":["cs.CY","cs.HC"],"title_canon_sha256":"86a1eb1dee8a2d3ba746a6f2c167b3e5dbf1d34503ec1e2fa6870b189575b961","abstract_canon_sha256":"65b6157afd4695742e7ff2703213840a85b1901d387cbad22ac01168cc0b15d6"},"schema_version":"1.0"},"canonical_sha256":"f5c136e6d4f97df9133a2f4b20fc54aa495b2160139eeeaa837dad95605ca4fa","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T03:09:35.838207Z","signature_b64":"mUqFKtKaCSNdXE7eBWA2PRvV8sb5duE919UGtiPd3dXAcJ8baqOTWiYPC8TIhiFE42NNpWIWNzvi+XE5Wr1tBQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"f5c136e6d4f97df9133a2f4b20fc54aa495b2160139eeeaa837dad95605ca4fa","last_reissued_at":"2026-05-18T03:09:35.837360Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T03:09:35.837360Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2505.04152","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":"2026-05-18T03:09:35Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"MusGJMYkKZQK2cuYmc9wERCPQ7wZBZ1FBh/31q9v5X2rlb6ai5G1zsPwOdJFWWlVzMoDnQk4fuh1aqJhimucCQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-21T23:10:07.921099Z"},"content_sha256":"aba5e0d9fa9b3846c75da1d55e0264ac52d95c74344e61da2930f7780605aae3","schema_version":"1.0","event_id":"sha256:aba5e0d9fa9b3846c75da1d55e0264ac52d95c74344e61da2930f7780605aae3"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:6XATNZWU7F67SEZ2F5FSB7CUVJ","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"SocialLM: Social Signal Processing of Patient-Provider Communication using LLMs and Contextual Aggregation","license":"http://creativecommons.org/licenses/by-sa/4.0/","headline":"","cross_cats":["cs.CY","cs.HC"],"primary_cat":"cs.CL","authors_text":"Andrea Hartzler, Feng Chen, Manas Satish Bedmutha, Nadir Weibel, Trevor Cohen","submitted_at":"2025-05-07T06:03:37Z","abstract_excerpt":"Effective patient-provider communication is difficult to assess at scale. We examine whether large language models (LLMs) can track 20 social behaviors from clinical transcripts without fine-tuning. Across three model families and multiple prompting strategies, LLMs reliably detect social signals, though performance varies by patient race and visit segment. To address this variability under query-only API constraints, we introduce an agreement-weighted ensemble using group-level agreement patterns. This approach improves both accuracy and stability over the best individual model, demonstrating"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2505.04152","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":"2026-05-18T03:09:35Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"4uSSH2znr9WyGuWNxS5C0+PeYVPXhve28PMIDEh/Zzp0WtuvOL2lTuoq5oJBpLB21NIAPYzxQneDAlXJw7DqCA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-21T23:10:07.921464Z"},"content_sha256":"35668f9bcf23d67e4716bb9d35a6d8d8bbe7e713bcb8e32f2c2ae6d5cbe09dbf","schema_version":"1.0","event_id":"sha256:35668f9bcf23d67e4716bb9d35a6d8d8bbe7e713bcb8e32f2c2ae6d5cbe09dbf"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/6XATNZWU7F67SEZ2F5FSB7CUVJ/bundle.json","state_url":"https://pith.science/pith/6XATNZWU7F67SEZ2F5FSB7CUVJ/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/6XATNZWU7F67SEZ2F5FSB7CUVJ/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":"2026-05-21T23:10:07Z","links":{"resolver":"https://pith.science/pith/6XATNZWU7F67SEZ2F5FSB7CUVJ","bundle":"https://pith.science/pith/6XATNZWU7F67SEZ2F5FSB7CUVJ/bundle.json","state":"https://pith.science/pith/6XATNZWU7F67SEZ2F5FSB7CUVJ/state.json","well_known_bundle":"https://pith.science/.well-known/pith/6XATNZWU7F67SEZ2F5FSB7CUVJ/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:6XATNZWU7F67SEZ2F5FSB7CUVJ","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":"65b6157afd4695742e7ff2703213840a85b1901d387cbad22ac01168cc0b15d6","cross_cats_sorted":["cs.CY","cs.HC"],"license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.CL","submitted_at":"2025-05-07T06:03:37Z","title_canon_sha256":"86a1eb1dee8a2d3ba746a6f2c167b3e5dbf1d34503ec1e2fa6870b189575b961"},"schema_version":"1.0","source":{"id":"2505.04152","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2505.04152","created_at":"2026-05-18T03:09:35Z"},{"alias_kind":"arxiv_version","alias_value":"2505.04152v2","created_at":"2026-05-18T03:09:35Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2505.04152","created_at":"2026-05-18T03:09:35Z"},{"alias_kind":"pith_short_12","alias_value":"6XATNZWU7F67","created_at":"2026-05-18T12:33:37Z"},{"alias_kind":"pith_short_16","alias_value":"6XATNZWU7F67SEZ2","created_at":"2026-05-18T12:33:37Z"},{"alias_kind":"pith_short_8","alias_value":"6XATNZWU","created_at":"2026-05-18T12:33:37Z"}],"graph_snapshots":[{"event_id":"sha256:35668f9bcf23d67e4716bb9d35a6d8d8bbe7e713bcb8e32f2c2ae6d5cbe09dbf","target":"graph","created_at":"2026-05-18T03:09:35Z","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":"Effective patient-provider communication is difficult to assess at scale. We examine whether large language models (LLMs) can track 20 social behaviors from clinical transcripts without fine-tuning. Across three model families and multiple prompting strategies, LLMs reliably detect social signals, though performance varies by patient race and visit segment. To address this variability under query-only API constraints, we introduce an agreement-weighted ensemble using group-level agreement patterns. This approach improves both accuracy and stability over the best individual model, demonstrating","authors_text":"Andrea Hartzler, Feng Chen, Manas Satish Bedmutha, Nadir Weibel, Trevor Cohen","cross_cats":["cs.CY","cs.HC"],"headline":"","license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.CL","submitted_at":"2025-05-07T06:03:37Z","title":"SocialLM: Social Signal Processing of Patient-Provider Communication using LLMs and Contextual Aggregation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2505.04152","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:aba5e0d9fa9b3846c75da1d55e0264ac52d95c74344e61da2930f7780605aae3","target":"record","created_at":"2026-05-18T03:09:35Z","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":"65b6157afd4695742e7ff2703213840a85b1901d387cbad22ac01168cc0b15d6","cross_cats_sorted":["cs.CY","cs.HC"],"license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.CL","submitted_at":"2025-05-07T06:03:37Z","title_canon_sha256":"86a1eb1dee8a2d3ba746a6f2c167b3e5dbf1d34503ec1e2fa6870b189575b961"},"schema_version":"1.0","source":{"id":"2505.04152","kind":"arxiv","version":2}},"canonical_sha256":"f5c136e6d4f97df9133a2f4b20fc54aa495b2160139eeeaa837dad95605ca4fa","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"f5c136e6d4f97df9133a2f4b20fc54aa495b2160139eeeaa837dad95605ca4fa","first_computed_at":"2026-05-18T03:09:35.837360Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T03:09:35.837360Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"mUqFKtKaCSNdXE7eBWA2PRvV8sb5duE919UGtiPd3dXAcJ8baqOTWiYPC8TIhiFE42NNpWIWNzvi+XE5Wr1tBQ==","signature_status":"signed_v1","signed_at":"2026-05-18T03:09:35.838207Z","signed_message":"canonical_sha256_bytes"},"source_id":"2505.04152","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:aba5e0d9fa9b3846c75da1d55e0264ac52d95c74344e61da2930f7780605aae3","sha256:35668f9bcf23d67e4716bb9d35a6d8d8bbe7e713bcb8e32f2c2ae6d5cbe09dbf"],"state_sha256":"1871c36acc011df04dede41c7aacc7e977ad1472c5a7c5aa3ba90c4659db8760"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"nI9RkxAm7APHLokr8jJoKlMOwhuw5jZmdYdEx3aYv2TbCQPQ3lve7ECrxHRs0M3Huygtwg/19jTLT6Xg2qeVBg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-21T23:10:07.924625Z","bundle_sha256":"8133f47745cc3bcaf6f54f373b58dc81b67f9af3fbea42cadc60309d529caf53"}}