{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:JBCHSFIZZ6N7V6F2UNZCFVK5WD","short_pith_number":"pith:JBCHSFIZ","canonical_record":{"source":{"id":"2605.28338","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2026-05-27T11:42:52Z","cross_cats_sorted":[],"title_canon_sha256":"616f084e2a1293a2d81f77d3d0e332511dc8e2417ee391814f1d3889f45a3c93","abstract_canon_sha256":"c62317e83a2881405790ffdb8d56a5e2ead9b4c7dd51dae40e81bef73d05abd3"},"schema_version":"1.0"},"canonical_sha256":"4844791519cf9bfaf8baa37222d55db0c4fdefe46d4912253b11ef11cca5d858","source":{"kind":"arxiv","id":"2605.28338","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2605.28338","created_at":"2026-05-28T01:05:13Z"},{"alias_kind":"arxiv_version","alias_value":"2605.28338v1","created_at":"2026-05-28T01:05:13Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2605.28338","created_at":"2026-05-28T01:05:13Z"},{"alias_kind":"pith_short_12","alias_value":"JBCHSFIZZ6N7","created_at":"2026-05-28T01:05:13Z"},{"alias_kind":"pith_short_16","alias_value":"JBCHSFIZZ6N7V6F2","created_at":"2026-05-28T01:05:13Z"},{"alias_kind":"pith_short_8","alias_value":"JBCHSFIZ","created_at":"2026-05-28T01:05:13Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:JBCHSFIZZ6N7V6F2UNZCFVK5WD","target":"record","payload":{"canonical_record":{"source":{"id":"2605.28338","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2026-05-27T11:42:52Z","cross_cats_sorted":[],"title_canon_sha256":"616f084e2a1293a2d81f77d3d0e332511dc8e2417ee391814f1d3889f45a3c93","abstract_canon_sha256":"c62317e83a2881405790ffdb8d56a5e2ead9b4c7dd51dae40e81bef73d05abd3"},"schema_version":"1.0"},"canonical_sha256":"4844791519cf9bfaf8baa37222d55db0c4fdefe46d4912253b11ef11cca5d858","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-28T01:05:13.450444Z","signature_b64":"A2t0/WmDV3A/jsA/Kl12OAbRiYlzcBkz4pM766VnuBqXjKqk4dep8Wa4bVweTCk2lUlA3DJ3syn2H0/saJOyAg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"4844791519cf9bfaf8baa37222d55db0c4fdefe46d4912253b11ef11cca5d858","last_reissued_at":"2026-05-28T01:05:13.450043Z","signature_status":"signed_v1","first_computed_at":"2026-05-28T01:05:13.450043Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2605.28338","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":"2026-05-28T01:05:13Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"bPwSGaki2vJFJGBVEdc+fb3qIVklVfBEyUgCtGRigeXLawrOsmJ1Dclvo+K6bI4bsKkjONr/PQkVD8qkBCsCAw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-01T00:32:49.379225Z"},"content_sha256":"64143c747f19a0de1d11d788629f105b71ae5e1f72259c41d52691d3080b67b0","schema_version":"1.0","event_id":"sha256:64143c747f19a0de1d11d788629f105b71ae5e1f72259c41d52691d3080b67b0"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:JBCHSFIZZ6N7V6F2UNZCFVK5WD","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"SafeMed-R1: Clinician-Audited Safety and Ethics Alignment for Medical Large Language Models","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.AI","authors_text":"Chao Ding, Jiayuan Chen, Jie Xu, Jinru Ding, Luyi Jiang, Meiling Liu, Minjia Yuan, Mouxiao Bian, Pengcheng Chen, Rongzhao Zhang, Tianbin Li, Yankai Jiang, Yidong Jiang, Zhao He, Zhuangzhi Gao","submitted_at":"2026-05-27T11:42:52Z","abstract_excerpt":"Large language models(LLMs) increasingly match expert performance on licensing examinations, yet routine clinical use remains limited because governance requires auditable reasoning, safety and ethics alignment, and resilience to adversarial misuse. Here we present SafeMed-R1, trained with a traceable Clinical Trust Signals(CTS) pipeline that links each reasoning instance to clinician rubric scores and edit histories, and aligned through safety and ethics supervision and red team stress testing. SafeMed-R1 attains a macro-averaged accuracy of 79.6% across clinical benchmarks. Under adversarial"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2605.28338","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/2605.28338/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":"2026-05-28T01:05:13Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"3SfDPyXMjmLEZbqQyPSKjXg/kkr0OHNIKVrg+CnfQxIbcFnva7T15PquipqdUCuLa7HqzHLq9EIrHawtUINrCQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-01T00:32:49.380088Z"},"content_sha256":"ede1e49fba9803fbbe4994cabec8ee07b115ec07ef1f72eb587ca62e71280a81","schema_version":"1.0","event_id":"sha256:ede1e49fba9803fbbe4994cabec8ee07b115ec07ef1f72eb587ca62e71280a81"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/JBCHSFIZZ6N7V6F2UNZCFVK5WD/bundle.json","state_url":"https://pith.science/pith/JBCHSFIZZ6N7V6F2UNZCFVK5WD/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/JBCHSFIZZ6N7V6F2UNZCFVK5WD/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":"2026-06-01T00:32:49Z","links":{"resolver":"https://pith.science/pith/JBCHSFIZZ6N7V6F2UNZCFVK5WD","bundle":"https://pith.science/pith/JBCHSFIZZ6N7V6F2UNZCFVK5WD/bundle.json","state":"https://pith.science/pith/JBCHSFIZZ6N7V6F2UNZCFVK5WD/state.json","well_known_bundle":"https://pith.science/.well-known/pith/JBCHSFIZZ6N7V6F2UNZCFVK5WD/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:JBCHSFIZZ6N7V6F2UNZCFVK5WD","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":"c62317e83a2881405790ffdb8d56a5e2ead9b4c7dd51dae40e81bef73d05abd3","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2026-05-27T11:42:52Z","title_canon_sha256":"616f084e2a1293a2d81f77d3d0e332511dc8e2417ee391814f1d3889f45a3c93"},"schema_version":"1.0","source":{"id":"2605.28338","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2605.28338","created_at":"2026-05-28T01:05:13Z"},{"alias_kind":"arxiv_version","alias_value":"2605.28338v1","created_at":"2026-05-28T01:05:13Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2605.28338","created_at":"2026-05-28T01:05:13Z"},{"alias_kind":"pith_short_12","alias_value":"JBCHSFIZZ6N7","created_at":"2026-05-28T01:05:13Z"},{"alias_kind":"pith_short_16","alias_value":"JBCHSFIZZ6N7V6F2","created_at":"2026-05-28T01:05:13Z"},{"alias_kind":"pith_short_8","alias_value":"JBCHSFIZ","created_at":"2026-05-28T01:05:13Z"}],"graph_snapshots":[{"event_id":"sha256:ede1e49fba9803fbbe4994cabec8ee07b115ec07ef1f72eb587ca62e71280a81","target":"graph","created_at":"2026-05-28T01:05:13Z","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/2605.28338/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Large language models(LLMs) increasingly match expert performance on licensing examinations, yet routine clinical use remains limited because governance requires auditable reasoning, safety and ethics alignment, and resilience to adversarial misuse. Here we present SafeMed-R1, trained with a traceable Clinical Trust Signals(CTS) pipeline that links each reasoning instance to clinician rubric scores and edit histories, and aligned through safety and ethics supervision and red team stress testing. SafeMed-R1 attains a macro-averaged accuracy of 79.6% across clinical benchmarks. Under adversarial","authors_text":"Chao Ding, Jiayuan Chen, Jie Xu, Jinru Ding, Luyi Jiang, Meiling Liu, Minjia Yuan, Mouxiao Bian, Pengcheng Chen, Rongzhao Zhang, Tianbin Li, Yankai Jiang, Yidong Jiang, Zhao He, Zhuangzhi Gao","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2026-05-27T11:42:52Z","title":"SafeMed-R1: Clinician-Audited Safety and Ethics Alignment for Medical Large Language Models"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2605.28338","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":"sha256:64143c747f19a0de1d11d788629f105b71ae5e1f72259c41d52691d3080b67b0","target":"record","created_at":"2026-05-28T01:05:13Z","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":"c62317e83a2881405790ffdb8d56a5e2ead9b4c7dd51dae40e81bef73d05abd3","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2026-05-27T11:42:52Z","title_canon_sha256":"616f084e2a1293a2d81f77d3d0e332511dc8e2417ee391814f1d3889f45a3c93"},"schema_version":"1.0","source":{"id":"2605.28338","kind":"arxiv","version":1}},"canonical_sha256":"4844791519cf9bfaf8baa37222d55db0c4fdefe46d4912253b11ef11cca5d858","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"4844791519cf9bfaf8baa37222d55db0c4fdefe46d4912253b11ef11cca5d858","first_computed_at":"2026-05-28T01:05:13.450043Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-28T01:05:13.450043Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"A2t0/WmDV3A/jsA/Kl12OAbRiYlzcBkz4pM766VnuBqXjKqk4dep8Wa4bVweTCk2lUlA3DJ3syn2H0/saJOyAg==","signature_status":"signed_v1","signed_at":"2026-05-28T01:05:13.450444Z","signed_message":"canonical_sha256_bytes"},"source_id":"2605.28338","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:64143c747f19a0de1d11d788629f105b71ae5e1f72259c41d52691d3080b67b0","sha256:ede1e49fba9803fbbe4994cabec8ee07b115ec07ef1f72eb587ca62e71280a81"],"state_sha256":"5b0e69f977b42a5f2ede601a5b8b758c7714c54e5fead2959837ed88f14cb6a8"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"rVHIgautAyCDzv9iHH6LTvxLfdB2i6l0IUzz4rWEEbZMLtQu+4IrDPlDxHgftN9AD9DxR+6RZwf2jzdBiN1tCA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-01T00:32:49.384543Z","bundle_sha256":"8d80b93e2c16e93e99832bdd9a553ac41a344dfb27247ca1f37f4270fc6215f1"}}