{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:HUOD4KPFLRFF572AW6OUCDSXSF","short_pith_number":"pith:HUOD4KPF","canonical_record":{"source":{"id":"2410.23528","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2024-10-31T00:29:52Z","cross_cats_sorted":[],"title_canon_sha256":"e036e0d99f4cdc5325fe1e50219859847f71bf660c43528d99411dc725f238c2","abstract_canon_sha256":"e16c2c15cca37f02180df8a0ba14383a5edb3ac4f343471802c35f8ee6df62b9"},"schema_version":"1.0"},"canonical_sha256":"3d1c3e29e55c4a5eff40b79d410e579145161aef52355cd95ae081afa975b2ce","source":{"kind":"arxiv","id":"2410.23528","version":3},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2410.23528","created_at":"2026-07-05T10:17:13Z"},{"alias_kind":"arxiv_version","alias_value":"2410.23528v3","created_at":"2026-07-05T10:17:13Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2410.23528","created_at":"2026-07-05T10:17:13Z"},{"alias_kind":"pith_short_12","alias_value":"HUOD4KPFLRFF","created_at":"2026-07-05T10:17:13Z"},{"alias_kind":"pith_short_16","alias_value":"HUOD4KPFLRFF572A","created_at":"2026-07-05T10:17:13Z"},{"alias_kind":"pith_short_8","alias_value":"HUOD4KPF","created_at":"2026-07-05T10:17:13Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:HUOD4KPFLRFF572AW6OUCDSXSF","target":"record","payload":{"canonical_record":{"source":{"id":"2410.23528","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2024-10-31T00:29:52Z","cross_cats_sorted":[],"title_canon_sha256":"e036e0d99f4cdc5325fe1e50219859847f71bf660c43528d99411dc725f238c2","abstract_canon_sha256":"e16c2c15cca37f02180df8a0ba14383a5edb3ac4f343471802c35f8ee6df62b9"},"schema_version":"1.0"},"canonical_sha256":"3d1c3e29e55c4a5eff40b79d410e579145161aef52355cd95ae081afa975b2ce","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T10:17:13.018019Z","signature_b64":"wcDTMMVUW2cEzyieH6YVUozkADxwGCAw+oqrjCf7lgFgNNW6XEM8UrG6YuTpcMCmiVkWPJEvfC50z/DmJyv+AA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"3d1c3e29e55c4a5eff40b79d410e579145161aef52355cd95ae081afa975b2ce","last_reissued_at":"2026-07-05T10:17:13.017480Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T10:17:13.017480Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2410.23528","source_version":3,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T10:17:13Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"19i59lsaUgvjxdUvVnXJ6+bFFGHz4wqatKPYGWHirpYozDsM79mSHnYR3kH48LhuqP/12r49ZAtidX0cY2FFDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-20T12:22:16.045489Z"},"content_sha256":"1f60562030ff812dbf552633b1a542632e2852fb53c17f2293a3c0d828ec3fcd","schema_version":"1.0","event_id":"sha256:1f60562030ff812dbf552633b1a542632e2852fb53c17f2293a3c0d828ec3fcd"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:HUOD4KPFLRFF572AW6OUCDSXSF","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Large Language Models for Patient Comments Multi-Label Classification","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CL","authors_text":"Franziska Jovin, Hajar Sakai, Joshua Bosire, Mohammadsadegh Mikaeili, Sarah S. Lam","submitted_at":"2024-10-31T00:29:52Z","abstract_excerpt":"Patient experience and care quality are crucial for a hospital's sustainability and reputation. The analysis of patient feedback offers valuable insight into patient satisfaction and outcomes. However, the unstructured nature of these comments poses challenges for traditional machine learning methods following a supervised learning paradigm. This is due to the unavailability of labeled data and the nuances these texts encompass. This research explores leveraging Large Language Models (LLMs) in conducting Multi-label Text Classification (MLTC) of inpatient comments shared after a stay in the ho"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2410.23528","kind":"arxiv","version":3},"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/2410.23528/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":"2026-07-05T10:17:13Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"3+lcS23Xr831NvNDGAGFFU1rIcG893nv/hrGpiD51BjztJEgA6C2M5AGHnfEJAThnhzyUnF+GEWR4nYkL66UDg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-20T12:22:16.046052Z"},"content_sha256":"c55bd2e0c4c2fb7cc768ae52e54fe5403a60024de502a250845752f44a5c115b","schema_version":"1.0","event_id":"sha256:c55bd2e0c4c2fb7cc768ae52e54fe5403a60024de502a250845752f44a5c115b"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/HUOD4KPFLRFF572AW6OUCDSXSF/bundle.json","state_url":"https://pith.science/pith/HUOD4KPFLRFF572AW6OUCDSXSF/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/HUOD4KPFLRFF572AW6OUCDSXSF/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":"2026-08-20T12:22:16Z","links":{"resolver":"https://pith.science/pith/HUOD4KPFLRFF572AW6OUCDSXSF","bundle":"https://pith.science/pith/HUOD4KPFLRFF572AW6OUCDSXSF/bundle.json","state":"https://pith.science/pith/HUOD4KPFLRFF572AW6OUCDSXSF/state.json","well_known_bundle":"https://pith.science/.well-known/pith/HUOD4KPFLRFF572AW6OUCDSXSF/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:HUOD4KPFLRFF572AW6OUCDSXSF","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":"e16c2c15cca37f02180df8a0ba14383a5edb3ac4f343471802c35f8ee6df62b9","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2024-10-31T00:29:52Z","title_canon_sha256":"e036e0d99f4cdc5325fe1e50219859847f71bf660c43528d99411dc725f238c2"},"schema_version":"1.0","source":{"id":"2410.23528","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2410.23528","created_at":"2026-07-05T10:17:13Z"},{"alias_kind":"arxiv_version","alias_value":"2410.23528v3","created_at":"2026-07-05T10:17:13Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2410.23528","created_at":"2026-07-05T10:17:13Z"},{"alias_kind":"pith_short_12","alias_value":"HUOD4KPFLRFF","created_at":"2026-07-05T10:17:13Z"},{"alias_kind":"pith_short_16","alias_value":"HUOD4KPFLRFF572A","created_at":"2026-07-05T10:17:13Z"},{"alias_kind":"pith_short_8","alias_value":"HUOD4KPF","created_at":"2026-07-05T10:17:13Z"}],"graph_snapshots":[{"event_id":"sha256:c55bd2e0c4c2fb7cc768ae52e54fe5403a60024de502a250845752f44a5c115b","target":"graph","created_at":"2026-07-05T10:17:13Z","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/2410.23528/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Patient experience and care quality are crucial for a hospital's sustainability and reputation. The analysis of patient feedback offers valuable insight into patient satisfaction and outcomes. However, the unstructured nature of these comments poses challenges for traditional machine learning methods following a supervised learning paradigm. This is due to the unavailability of labeled data and the nuances these texts encompass. This research explores leveraging Large Language Models (LLMs) in conducting Multi-label Text Classification (MLTC) of inpatient comments shared after a stay in the ho","authors_text":"Franziska Jovin, Hajar Sakai, Joshua Bosire, Mohammadsadegh Mikaeili, Sarah S. Lam","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2024-10-31T00:29:52Z","title":"Large Language Models for Patient Comments Multi-Label Classification"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2410.23528","kind":"arxiv","version":3},"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":"sha256:1f60562030ff812dbf552633b1a542632e2852fb53c17f2293a3c0d828ec3fcd","target":"record","created_at":"2026-07-05T10:17:13Z","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":"e16c2c15cca37f02180df8a0ba14383a5edb3ac4f343471802c35f8ee6df62b9","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2024-10-31T00:29:52Z","title_canon_sha256":"e036e0d99f4cdc5325fe1e50219859847f71bf660c43528d99411dc725f238c2"},"schema_version":"1.0","source":{"id":"2410.23528","kind":"arxiv","version":3}},"canonical_sha256":"3d1c3e29e55c4a5eff40b79d410e579145161aef52355cd95ae081afa975b2ce","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"3d1c3e29e55c4a5eff40b79d410e579145161aef52355cd95ae081afa975b2ce","first_computed_at":"2026-07-05T10:17:13.017480Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:17:13.017480Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"wcDTMMVUW2cEzyieH6YVUozkADxwGCAw+oqrjCf7lgFgNNW6XEM8UrG6YuTpcMCmiVkWPJEvfC50z/DmJyv+AA==","signature_status":"signed_v1","signed_at":"2026-07-05T10:17:13.018019Z","signed_message":"canonical_sha256_bytes"},"source_id":"2410.23528","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:1f60562030ff812dbf552633b1a542632e2852fb53c17f2293a3c0d828ec3fcd","sha256:c55bd2e0c4c2fb7cc768ae52e54fe5403a60024de502a250845752f44a5c115b"],"state_sha256":"158b6b68a27c3588e2eef44914eb21b20f0724eb7f9224a073fbab6cda9192fc"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"SMd3ZoVEkxmoah7fCXV45ibQ0RO6Nidn9xMh9e2AFy86KV/pYG7q8GXnEJyQiyxOVukvCQ8b4QJw5rQW1i29CQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-20T12:22:16.050899Z","bundle_sha256":"182dbdc20b361e28a98b6d77a07dc1bcc7a266f67db81aa306f61f59813bbc6a"}}