{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2020:Z3EZBTLNEWHD37FKSRMJP6SGTJ","short_pith_number":"pith:Z3EZBTLN","canonical_record":{"source":{"id":"2009.04924","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2020-09-10T15:05:45Z","cross_cats_sorted":["cs.CV"],"title_canon_sha256":"b8c500cb1919ae16fc1bfab83e317f7708176f134b03042ffc7f63569dfb1956","abstract_canon_sha256":"5e93f3122d765c8f041d3feffd69414720c593c915637ecb9f52c021a7cee397"},"schema_version":"1.0"},"canonical_sha256":"cec990cd6d258e3dfcaa945897fa469a4c0894df1ce86584d21f4f9b0d430730","source":{"kind":"arxiv","id":"2009.04924","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2009.04924","created_at":"2026-07-05T01:34:31Z"},{"alias_kind":"arxiv_version","alias_value":"2009.04924v1","created_at":"2026-07-05T01:34:31Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2009.04924","created_at":"2026-07-05T01:34:31Z"},{"alias_kind":"pith_short_12","alias_value":"Z3EZBTLNEWHD","created_at":"2026-07-05T01:34:31Z"},{"alias_kind":"pith_short_16","alias_value":"Z3EZBTLNEWHD37FK","created_at":"2026-07-05T01:34:31Z"},{"alias_kind":"pith_short_8","alias_value":"Z3EZBTLN","created_at":"2026-07-05T01:34:31Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2020:Z3EZBTLNEWHD37FKSRMJP6SGTJ","target":"record","payload":{"canonical_record":{"source":{"id":"2009.04924","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2020-09-10T15:05:45Z","cross_cats_sorted":["cs.CV"],"title_canon_sha256":"b8c500cb1919ae16fc1bfab83e317f7708176f134b03042ffc7f63569dfb1956","abstract_canon_sha256":"5e93f3122d765c8f041d3feffd69414720c593c915637ecb9f52c021a7cee397"},"schema_version":"1.0"},"canonical_sha256":"cec990cd6d258e3dfcaa945897fa469a4c0894df1ce86584d21f4f9b0d430730","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T01:34:31.349175Z","signature_b64":"DG/S16ItufvdrHldHX2fqlhEh9dKvy/AArN96Mo+hnI47B6ZRL4zTqMrE9gO7r1aCIxsu429SYh8hl7RFBYyDA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"cec990cd6d258e3dfcaa945897fa469a4c0894df1ce86584d21f4f9b0d430730","last_reissued_at":"2026-07-05T01:34:31.348715Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T01:34:31.348715Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2009.04924","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":"2026-07-05T01:34:31Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"g9YXAXkGw4SefWsBx6rZTRD4CbhLlSlnR613oIyWZxW4aaLY9Q4B5y0M+m+jnPhHM4xydD7snxzhXowlj5xADw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-12T11:52:59.543306Z"},"content_sha256":"9db41dfc1211ead55820e42e8989e0a9a40e10882642ef626370a393b032df9d","schema_version":"1.0","event_id":"sha256:9db41dfc1211ead55820e42e8989e0a9a40e10882642ef626370a393b032df9d"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2020:Z3EZBTLNEWHD37FKSRMJP6SGTJ","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Ultrasound Liver Fibrosis Diagnosis using Multi-indicator guided Deep Neural Networks","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.CV"],"primary_cat":"eess.IV","authors_text":"Jiali Liu, Ningbo Zhao, Tianyao Guan, Wenxuan Wang, Xiaoguang Han, Zhen Li","submitted_at":"2020-09-10T15:05:45Z","abstract_excerpt":"Accurate analysis of the fibrosis stage plays very important roles in follow-up of patients with chronic hepatitis B infection. In this paper, a deep learning framework is presented for automatically liver fibrosis prediction. On contrary of previous works, our approach can take use of the information provided by multiple ultrasound images. An indicator-guided learning mechanism is further proposed to ease the training of the proposed model. This follows the workflow of clinical diagnosis and make the prediction procedure interpretable. To support the training, a dataset is well-collected whic"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2009.04924","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/2009.04924/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":"2026-07-05T01:34:31Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"CaQ+Yj7qWyYowPB6F5EXwrD6q/AFJJ97CO6772DO1gbZ4cw8UiKTPVk5Xsrr1ruqgWllfrRcSPJTp8skF6rJCQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-12T11:52:59.544409Z"},"content_sha256":"6a639540a2c405aa1664a5ef615f8349e7244a467048f6e80354a08effd48e25","schema_version":"1.0","event_id":"sha256:6a639540a2c405aa1664a5ef615f8349e7244a467048f6e80354a08effd48e25"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/Z3EZBTLNEWHD37FKSRMJP6SGTJ/bundle.json","state_url":"https://pith.science/pith/Z3EZBTLNEWHD37FKSRMJP6SGTJ/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/Z3EZBTLNEWHD37FKSRMJP6SGTJ/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":"2026-08-12T11:52:59Z","links":{"resolver":"https://pith.science/pith/Z3EZBTLNEWHD37FKSRMJP6SGTJ","bundle":"https://pith.science/pith/Z3EZBTLNEWHD37FKSRMJP6SGTJ/bundle.json","state":"https://pith.science/pith/Z3EZBTLNEWHD37FKSRMJP6SGTJ/state.json","well_known_bundle":"https://pith.science/.well-known/pith/Z3EZBTLNEWHD37FKSRMJP6SGTJ/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2020:Z3EZBTLNEWHD37FKSRMJP6SGTJ","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":"5e93f3122d765c8f041d3feffd69414720c593c915637ecb9f52c021a7cee397","cross_cats_sorted":["cs.CV"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2020-09-10T15:05:45Z","title_canon_sha256":"b8c500cb1919ae16fc1bfab83e317f7708176f134b03042ffc7f63569dfb1956"},"schema_version":"1.0","source":{"id":"2009.04924","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2009.04924","created_at":"2026-07-05T01:34:31Z"},{"alias_kind":"arxiv_version","alias_value":"2009.04924v1","created_at":"2026-07-05T01:34:31Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2009.04924","created_at":"2026-07-05T01:34:31Z"},{"alias_kind":"pith_short_12","alias_value":"Z3EZBTLNEWHD","created_at":"2026-07-05T01:34:31Z"},{"alias_kind":"pith_short_16","alias_value":"Z3EZBTLNEWHD37FK","created_at":"2026-07-05T01:34:31Z"},{"alias_kind":"pith_short_8","alias_value":"Z3EZBTLN","created_at":"2026-07-05T01:34:31Z"}],"graph_snapshots":[{"event_id":"sha256:6a639540a2c405aa1664a5ef615f8349e7244a467048f6e80354a08effd48e25","target":"graph","created_at":"2026-07-05T01:34:31Z","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/2009.04924/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Accurate analysis of the fibrosis stage plays very important roles in follow-up of patients with chronic hepatitis B infection. In this paper, a deep learning framework is presented for automatically liver fibrosis prediction. On contrary of previous works, our approach can take use of the information provided by multiple ultrasound images. An indicator-guided learning mechanism is further proposed to ease the training of the proposed model. This follows the workflow of clinical diagnosis and make the prediction procedure interpretable. To support the training, a dataset is well-collected whic","authors_text":"Jiali Liu, Ningbo Zhao, Tianyao Guan, Wenxuan Wang, Xiaoguang Han, Zhen Li","cross_cats":["cs.CV"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2020-09-10T15:05:45Z","title":"Ultrasound Liver Fibrosis Diagnosis using Multi-indicator guided Deep Neural Networks"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2009.04924","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":"sha256:9db41dfc1211ead55820e42e8989e0a9a40e10882642ef626370a393b032df9d","target":"record","created_at":"2026-07-05T01:34:31Z","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":"5e93f3122d765c8f041d3feffd69414720c593c915637ecb9f52c021a7cee397","cross_cats_sorted":["cs.CV"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2020-09-10T15:05:45Z","title_canon_sha256":"b8c500cb1919ae16fc1bfab83e317f7708176f134b03042ffc7f63569dfb1956"},"schema_version":"1.0","source":{"id":"2009.04924","kind":"arxiv","version":1}},"canonical_sha256":"cec990cd6d258e3dfcaa945897fa469a4c0894df1ce86584d21f4f9b0d430730","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"cec990cd6d258e3dfcaa945897fa469a4c0894df1ce86584d21f4f9b0d430730","first_computed_at":"2026-07-05T01:34:31.348715Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T01:34:31.348715Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"DG/S16ItufvdrHldHX2fqlhEh9dKvy/AArN96Mo+hnI47B6ZRL4zTqMrE9gO7r1aCIxsu429SYh8hl7RFBYyDA==","signature_status":"signed_v1","signed_at":"2026-07-05T01:34:31.349175Z","signed_message":"canonical_sha256_bytes"},"source_id":"2009.04924","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:9db41dfc1211ead55820e42e8989e0a9a40e10882642ef626370a393b032df9d","sha256:6a639540a2c405aa1664a5ef615f8349e7244a467048f6e80354a08effd48e25"],"state_sha256":"1561469648987ac7dff825d78c064d8f98104662818f3fb04a4afebe3657d24d"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"PDTiFyotEkUjL+1CdOrgOYYMbFKhBWvHHeK00UiTFwzER/ZHNJJL5kz5XQfQ3mIo1vWsLmsE1uaAhh9eooxNBA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-12T11:52:59.552879Z","bundle_sha256":"ce73d011298f84d3eb5df7137bad7bf712764d92ec577732d6d804a21660fdc4"}}