{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:JEMXH7JT4AKBS4JRK55DZMV2KH","short_pith_number":"pith:JEMXH7JT","canonical_record":{"source":{"id":"2607.11175","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2026-07-13T07:16:50Z","cross_cats_sorted":[],"title_canon_sha256":"9b7fd72879194fd51336f6ac084c01192d5b28bcb5615470ea8b97e56688d7cb","abstract_canon_sha256":"36679057bcd2895c3b0f3fadd50dbec49d1d0c2d01c53d4017aea072d3e1247f"},"schema_version":"1.0"},"canonical_sha256":"491973fd33e014197131577a3cb2ba51cef24b4b94d7ad652400873d67a0504a","source":{"kind":"arxiv","id":"2607.11175","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2607.11175","created_at":"2026-07-14T01:22:20Z"},{"alias_kind":"arxiv_version","alias_value":"2607.11175v1","created_at":"2026-07-14T01:22:20Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2607.11175","created_at":"2026-07-14T01:22:20Z"},{"alias_kind":"pith_short_12","alias_value":"JEMXH7JT4AKB","created_at":"2026-07-14T01:22:20Z"},{"alias_kind":"pith_short_16","alias_value":"JEMXH7JT4AKBS4JR","created_at":"2026-07-14T01:22:20Z"},{"alias_kind":"pith_short_8","alias_value":"JEMXH7JT","created_at":"2026-07-14T01:22:20Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:JEMXH7JT4AKBS4JRK55DZMV2KH","target":"record","payload":{"canonical_record":{"source":{"id":"2607.11175","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2026-07-13T07:16:50Z","cross_cats_sorted":[],"title_canon_sha256":"9b7fd72879194fd51336f6ac084c01192d5b28bcb5615470ea8b97e56688d7cb","abstract_canon_sha256":"36679057bcd2895c3b0f3fadd50dbec49d1d0c2d01c53d4017aea072d3e1247f"},"schema_version":"1.0"},"canonical_sha256":"491973fd33e014197131577a3cb2ba51cef24b4b94d7ad652400873d67a0504a","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-14T01:22:20.512931Z","signature_b64":"8HhWIaUduvFo4zZh6vPAOREnIkVPF/GEB3Fx7tsf7/+Q5nQErtFHeFDGRW/x39Mo3S736M1CARf2c6M5+SqbBg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"491973fd33e014197131577a3cb2ba51cef24b4b94d7ad652400873d67a0504a","last_reissued_at":"2026-07-14T01:22:20.511901Z","signature_status":"signed_v1","first_computed_at":"2026-07-14T01:22:20.511901Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2607.11175","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":"2026-07-14T01:22:20Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"xRV89cVwb8+LSHkbRF/c04irPkYPSuLCdqOCd+M8p8orGD1/BqdsPK9EoyNoMpPKfRpS1vp+LA5kKQqU+RJlAw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-15T00:23:26.338434Z"},"content_sha256":"a8040c630f2f4c1216885730f8e50a81b544d150f213d581315ae47aca669b8f","schema_version":"1.0","event_id":"sha256:a8040c630f2f4c1216885730f8e50a81b544d150f213d581315ae47aca669b8f"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:JEMXH7JT4AKBS4JRK55DZMV2KH","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"The Path to Self-Evolving Clinical Systems: Scaling Medical Agents from Assistance to Autonomy","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.AI","authors_text":"Bin Pu, Bohan Tan, Cheewei Tan, Chengchao Lv, Chunzheng Zhu, Jianxin Lin, Jinghao Lin, Kenli Li, Lei Tian, Lei Zhao, Qianshan Wei, Yihang Chen, Yijun He, Yijun Wang, Yilin Wen, Yuan Xue, Yuxuan Sun, Ziqi Zhou","submitted_at":"2026-07-13T07:16:50Z","abstract_excerpt":"The growing ability of large language models and vision language models to jointly interpret and reason over images and text is reshaping medical agents, moving them from task specific predictors toward autonomous systems that perceive, reason, plan, remember, and act in clinical environments. This work departs from the capability first perspective of existing literature and instead begins from clinical deployment, asking what tasks, contamination resistant benchmarks, and interactive training environments are required before medical agents can be trusted in practice. Medical agents are formal"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2607.11175","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/2607.11175/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":"2026-07-14T01:22:20Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"OPADMhSGfr8qoznExXeldruETuSCfPtoRk2kKUZkdVSZF4c5nnulcNc9ewzS3g/dkEPVyQPOrx5hSbDGlXyjDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-15T00:23:26.339385Z"},"content_sha256":"4d2c29924312dfdeddd6ba49a41d68548ac8dcc4f8cb160b02c9ea6d2e518e3c","schema_version":"1.0","event_id":"sha256:4d2c29924312dfdeddd6ba49a41d68548ac8dcc4f8cb160b02c9ea6d2e518e3c"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/JEMXH7JT4AKBS4JRK55DZMV2KH/bundle.json","state_url":"https://pith.science/pith/JEMXH7JT4AKBS4JRK55DZMV2KH/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/JEMXH7JT4AKBS4JRK55DZMV2KH/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":"2026-08-15T00:23:26Z","links":{"resolver":"https://pith.science/pith/JEMXH7JT4AKBS4JRK55DZMV2KH","bundle":"https://pith.science/pith/JEMXH7JT4AKBS4JRK55DZMV2KH/bundle.json","state":"https://pith.science/pith/JEMXH7JT4AKBS4JRK55DZMV2KH/state.json","well_known_bundle":"https://pith.science/.well-known/pith/JEMXH7JT4AKBS4JRK55DZMV2KH/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:JEMXH7JT4AKBS4JRK55DZMV2KH","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":"36679057bcd2895c3b0f3fadd50dbec49d1d0c2d01c53d4017aea072d3e1247f","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2026-07-13T07:16:50Z","title_canon_sha256":"9b7fd72879194fd51336f6ac084c01192d5b28bcb5615470ea8b97e56688d7cb"},"schema_version":"1.0","source":{"id":"2607.11175","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2607.11175","created_at":"2026-07-14T01:22:20Z"},{"alias_kind":"arxiv_version","alias_value":"2607.11175v1","created_at":"2026-07-14T01:22:20Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2607.11175","created_at":"2026-07-14T01:22:20Z"},{"alias_kind":"pith_short_12","alias_value":"JEMXH7JT4AKB","created_at":"2026-07-14T01:22:20Z"},{"alias_kind":"pith_short_16","alias_value":"JEMXH7JT4AKBS4JR","created_at":"2026-07-14T01:22:20Z"},{"alias_kind":"pith_short_8","alias_value":"JEMXH7JT","created_at":"2026-07-14T01:22:20Z"}],"graph_snapshots":[{"event_id":"sha256:4d2c29924312dfdeddd6ba49a41d68548ac8dcc4f8cb160b02c9ea6d2e518e3c","target":"graph","created_at":"2026-07-14T01:22:20Z","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/2607.11175/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The growing ability of large language models and vision language models to jointly interpret and reason over images and text is reshaping medical agents, moving them from task specific predictors toward autonomous systems that perceive, reason, plan, remember, and act in clinical environments. This work departs from the capability first perspective of existing literature and instead begins from clinical deployment, asking what tasks, contamination resistant benchmarks, and interactive training environments are required before medical agents can be trusted in practice. Medical agents are formal","authors_text":"Bin Pu, Bohan Tan, Cheewei Tan, Chengchao Lv, Chunzheng Zhu, Jianxin Lin, Jinghao Lin, Kenli Li, Lei Tian, Lei Zhao, Qianshan Wei, Yihang Chen, Yijun He, Yijun Wang, Yilin Wen, Yuan Xue, Yuxuan Sun, Ziqi Zhou","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2026-07-13T07:16:50Z","title":"The Path to Self-Evolving Clinical Systems: Scaling Medical Agents from Assistance to Autonomy"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2607.11175","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:a8040c630f2f4c1216885730f8e50a81b544d150f213d581315ae47aca669b8f","target":"record","created_at":"2026-07-14T01:22:20Z","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":"36679057bcd2895c3b0f3fadd50dbec49d1d0c2d01c53d4017aea072d3e1247f","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2026-07-13T07:16:50Z","title_canon_sha256":"9b7fd72879194fd51336f6ac084c01192d5b28bcb5615470ea8b97e56688d7cb"},"schema_version":"1.0","source":{"id":"2607.11175","kind":"arxiv","version":1}},"canonical_sha256":"491973fd33e014197131577a3cb2ba51cef24b4b94d7ad652400873d67a0504a","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"491973fd33e014197131577a3cb2ba51cef24b4b94d7ad652400873d67a0504a","first_computed_at":"2026-07-14T01:22:20.511901Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-14T01:22:20.511901Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"8HhWIaUduvFo4zZh6vPAOREnIkVPF/GEB3Fx7tsf7/+Q5nQErtFHeFDGRW/x39Mo3S736M1CARf2c6M5+SqbBg==","signature_status":"signed_v1","signed_at":"2026-07-14T01:22:20.512931Z","signed_message":"canonical_sha256_bytes"},"source_id":"2607.11175","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:a8040c630f2f4c1216885730f8e50a81b544d150f213d581315ae47aca669b8f","sha256:4d2c29924312dfdeddd6ba49a41d68548ac8dcc4f8cb160b02c9ea6d2e518e3c"],"state_sha256":"12ba92e12dc7b692863ca7f0deb26e206932f5cd72223f441f22429ec69548bc"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"GlgtocVAl7bk/YVU0Y/Vh0GDdVmDQ+1uJK1bu8m+HKM8QxEz+5Pr8TKTlyGgyKz1jNdyLn8Vml67EPXDVYk1BA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-15T00:23:26.380310Z","bundle_sha256":"4947cd2dedfb009b80a345d05efeadb6e936dde333225c61aea3ed2a52d184c1"}}