{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:PPLUOVGOGPGACHFKHXXYRWKWWE","short_pith_number":"pith:PPLUOVGO","canonical_record":{"source":{"id":"2605.25273","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CY","submitted_at":"2026-05-24T21:59:32Z","cross_cats_sorted":[],"title_canon_sha256":"72548eef25c251bf0f4cb2c802de79e273ea9adcd9353b63d73c13e734e8ecea","abstract_canon_sha256":"ddac704ef8b981afca8ed3b3be29511292a19bbf970fa7cdcf4c7577f7d65dbc"},"schema_version":"1.0"},"canonical_sha256":"7bd74754ce33cc011caa3def88d956b1301ed4d17046a235b2afc81a6c72cdfd","source":{"kind":"arxiv","id":"2605.25273","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2605.25273","created_at":"2026-05-26T02:04:26Z"},{"alias_kind":"arxiv_version","alias_value":"2605.25273v1","created_at":"2026-05-26T02:04:26Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2605.25273","created_at":"2026-05-26T02:04:26Z"},{"alias_kind":"pith_short_12","alias_value":"PPLUOVGOGPGA","created_at":"2026-05-26T02:04:26Z"},{"alias_kind":"pith_short_16","alias_value":"PPLUOVGOGPGACHFK","created_at":"2026-05-26T02:04:26Z"},{"alias_kind":"pith_short_8","alias_value":"PPLUOVGO","created_at":"2026-05-26T02:04:26Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:PPLUOVGOGPGACHFKHXXYRWKWWE","target":"record","payload":{"canonical_record":{"source":{"id":"2605.25273","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CY","submitted_at":"2026-05-24T21:59:32Z","cross_cats_sorted":[],"title_canon_sha256":"72548eef25c251bf0f4cb2c802de79e273ea9adcd9353b63d73c13e734e8ecea","abstract_canon_sha256":"ddac704ef8b981afca8ed3b3be29511292a19bbf970fa7cdcf4c7577f7d65dbc"},"schema_version":"1.0"},"canonical_sha256":"7bd74754ce33cc011caa3def88d956b1301ed4d17046a235b2afc81a6c72cdfd","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-26T02:04:26.806124Z","signature_b64":"eEyQbx3R0Y7RcI56tnlUalaqwgWF7SB2U1iXTNKZ730ykjL7Wlno3AjNOfFC/01SeNdr7Nt30XrSIp8NwkzSDw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"7bd74754ce33cc011caa3def88d956b1301ed4d17046a235b2afc81a6c72cdfd","last_reissued_at":"2026-05-26T02:04:26.805421Z","signature_status":"signed_v1","first_computed_at":"2026-05-26T02:04:26.805421Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2605.25273","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":"2026-05-26T02:04:26Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"393Bfu6w9m4S1XZv7AcAhQ5VJmdhFQuDWXi57jGUOWGat4JBZDCsjEeE/DMIzeZA7G0AAS6mUG27Ty37ubpfAw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-30T13:20:05.822065Z"},"content_sha256":"2b76ed20ac768da22d6943e67a8e50a959b5c260d4d92a9005db9502df5d74b6","schema_version":"1.0","event_id":"sha256:2b76ed20ac768da22d6943e67a8e50a959b5c260d4d92a9005db9502df5d74b6"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:PPLUOVGOGPGACHFKHXXYRWKWWE","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"LLM-as-a-Judge in Healthcare: A Scoping Analysis of Applications, Methods, and Human Alignment","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CY","authors_text":"Cathy Shyr, Chen Chen, Deyi Li, Lingyao Li, Lizhou Fan, Mei Liu, Mingquan Lin, Renkai Ma, Rui Yin, Runlong Yu, Siyuan Ma, Steven Bethard","submitted_at":"2026-05-24T21:59:32Z","abstract_excerpt":"Large language models (LLMs) are increasingly deployed across healthcare applications, including clinical documentation, diagnostic reasoning, medicine recommendation, and medical education. Their outputs are largely unstructured clinical text, which is difficult to reliably evaluate at scale. LLM-as-a-Judge, in which an LLM evaluates another system's output against task-specific criteria, offers a scalable alternative and is increasingly used in clinical evaluation, yet its validity in healthcare remains underexamined. Existing reviews focus on general-purpose LLM evaluation or on risk framew"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2605.25273","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/2605.25273/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":"2026-05-26T02:04:26Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"q42hj0FG4yrd3QpZC3d4tqKA+Nski3i8sFmnu3PNuR6Q2poUE3oxrLWqXaeAClxS0AoySGcuoStNCV8nMzx+Cg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-30T13:20:05.822489Z"},"content_sha256":"a3e8c320e31adb344689e5b254afd56db0d623080f6da9db23700920d4e372f4","schema_version":"1.0","event_id":"sha256:a3e8c320e31adb344689e5b254afd56db0d623080f6da9db23700920d4e372f4"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/PPLUOVGOGPGACHFKHXXYRWKWWE/bundle.json","state_url":"https://pith.science/pith/PPLUOVGOGPGACHFKHXXYRWKWWE/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/PPLUOVGOGPGACHFKHXXYRWKWWE/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":"2026-05-30T13:20:05Z","links":{"resolver":"https://pith.science/pith/PPLUOVGOGPGACHFKHXXYRWKWWE","bundle":"https://pith.science/pith/PPLUOVGOGPGACHFKHXXYRWKWWE/bundle.json","state":"https://pith.science/pith/PPLUOVGOGPGACHFKHXXYRWKWWE/state.json","well_known_bundle":"https://pith.science/.well-known/pith/PPLUOVGOGPGACHFKHXXYRWKWWE/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:PPLUOVGOGPGACHFKHXXYRWKWWE","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":"ddac704ef8b981afca8ed3b3be29511292a19bbf970fa7cdcf4c7577f7d65dbc","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CY","submitted_at":"2026-05-24T21:59:32Z","title_canon_sha256":"72548eef25c251bf0f4cb2c802de79e273ea9adcd9353b63d73c13e734e8ecea"},"schema_version":"1.0","source":{"id":"2605.25273","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2605.25273","created_at":"2026-05-26T02:04:26Z"},{"alias_kind":"arxiv_version","alias_value":"2605.25273v1","created_at":"2026-05-26T02:04:26Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2605.25273","created_at":"2026-05-26T02:04:26Z"},{"alias_kind":"pith_short_12","alias_value":"PPLUOVGOGPGA","created_at":"2026-05-26T02:04:26Z"},{"alias_kind":"pith_short_16","alias_value":"PPLUOVGOGPGACHFK","created_at":"2026-05-26T02:04:26Z"},{"alias_kind":"pith_short_8","alias_value":"PPLUOVGO","created_at":"2026-05-26T02:04:26Z"}],"graph_snapshots":[{"event_id":"sha256:a3e8c320e31adb344689e5b254afd56db0d623080f6da9db23700920d4e372f4","target":"graph","created_at":"2026-05-26T02:04:26Z","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/2605.25273/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Large language models (LLMs) are increasingly deployed across healthcare applications, including clinical documentation, diagnostic reasoning, medicine recommendation, and medical education. Their outputs are largely unstructured clinical text, which is difficult to reliably evaluate at scale. LLM-as-a-Judge, in which an LLM evaluates another system's output against task-specific criteria, offers a scalable alternative and is increasingly used in clinical evaluation, yet its validity in healthcare remains underexamined. Existing reviews focus on general-purpose LLM evaluation or on risk framew","authors_text":"Cathy Shyr, Chen Chen, Deyi Li, Lingyao Li, Lizhou Fan, Mei Liu, Mingquan Lin, Renkai Ma, Rui Yin, Runlong Yu, Siyuan Ma, Steven Bethard","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CY","submitted_at":"2026-05-24T21:59:32Z","title":"LLM-as-a-Judge in Healthcare: A Scoping Analysis of Applications, Methods, and Human Alignment"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2605.25273","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":"sha256:2b76ed20ac768da22d6943e67a8e50a959b5c260d4d92a9005db9502df5d74b6","target":"record","created_at":"2026-05-26T02:04:26Z","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":"ddac704ef8b981afca8ed3b3be29511292a19bbf970fa7cdcf4c7577f7d65dbc","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CY","submitted_at":"2026-05-24T21:59:32Z","title_canon_sha256":"72548eef25c251bf0f4cb2c802de79e273ea9adcd9353b63d73c13e734e8ecea"},"schema_version":"1.0","source":{"id":"2605.25273","kind":"arxiv","version":1}},"canonical_sha256":"7bd74754ce33cc011caa3def88d956b1301ed4d17046a235b2afc81a6c72cdfd","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"7bd74754ce33cc011caa3def88d956b1301ed4d17046a235b2afc81a6c72cdfd","first_computed_at":"2026-05-26T02:04:26.805421Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-26T02:04:26.805421Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"eEyQbx3R0Y7RcI56tnlUalaqwgWF7SB2U1iXTNKZ730ykjL7Wlno3AjNOfFC/01SeNdr7Nt30XrSIp8NwkzSDw==","signature_status":"signed_v1","signed_at":"2026-05-26T02:04:26.806124Z","signed_message":"canonical_sha256_bytes"},"source_id":"2605.25273","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:2b76ed20ac768da22d6943e67a8e50a959b5c260d4d92a9005db9502df5d74b6","sha256:a3e8c320e31adb344689e5b254afd56db0d623080f6da9db23700920d4e372f4"],"state_sha256":"4b266265cc96b2986a0eac5446f14329afbbf6cbe6196171537e5f9664f42149"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"i4WxTX0LfBxTQq6SbUb0qmDu5EzJ6ojFiHIoe+UF16Yn8dbq3o0SvSqDwQXSE0Jdme44dYlLeV1+GXWve0yrAQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-30T13:20:05.824560Z","bundle_sha256":"3ad68b0cce74bf5f9fabbf86b7f8e3af11c55a13860de7a844541b9a9f076830"}}