{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:HXGE3JWXHPD7LF35HCU67UQZ7D","short_pith_number":"pith:HXGE3JWX","canonical_record":{"source":{"id":"2504.14139","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-04-19T02:13:07Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"abe4300c3364e560153eba65b9ed3ed1eb602dbc1cbc210c77aab8eefd7b0193","abstract_canon_sha256":"1f2af59dca002ee80d3e4d39d0f4fb97d0b130692ea32a057a1e574a3ef64501"},"schema_version":"1.0"},"canonical_sha256":"3dcc4da6d73bc7f5977d38a9efd219f8cdd9130e5d31d9ceb62dfdb730f3c4ee","source":{"kind":"arxiv","id":"2504.14139","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2504.14139","created_at":"2026-07-05T10:54:47Z"},{"alias_kind":"arxiv_version","alias_value":"2504.14139v2","created_at":"2026-07-05T10:54:47Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2504.14139","created_at":"2026-07-05T10:54:47Z"},{"alias_kind":"pith_short_12","alias_value":"HXGE3JWXHPD7","created_at":"2026-07-05T10:54:47Z"},{"alias_kind":"pith_short_16","alias_value":"HXGE3JWXHPD7LF35","created_at":"2026-07-05T10:54:47Z"},{"alias_kind":"pith_short_8","alias_value":"HXGE3JWX","created_at":"2026-07-05T10:54:47Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:HXGE3JWXHPD7LF35HCU67UQZ7D","target":"record","payload":{"canonical_record":{"source":{"id":"2504.14139","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-04-19T02:13:07Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"abe4300c3364e560153eba65b9ed3ed1eb602dbc1cbc210c77aab8eefd7b0193","abstract_canon_sha256":"1f2af59dca002ee80d3e4d39d0f4fb97d0b130692ea32a057a1e574a3ef64501"},"schema_version":"1.0"},"canonical_sha256":"3dcc4da6d73bc7f5977d38a9efd219f8cdd9130e5d31d9ceb62dfdb730f3c4ee","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T10:54:47.026009Z","signature_b64":"KBJUfWejt0eMMGbSpJGwoyjt0cvSHt/8ANcPlXSgPghlT0nq8GudWdBgjVLzReh/sgR3WOgN2SmQUpSFXgQcAQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"3dcc4da6d73bc7f5977d38a9efd219f8cdd9130e5d31d9ceb62dfdb730f3c4ee","last_reissued_at":"2026-07-05T10:54:47.025582Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T10:54:47.025582Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2504.14139","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T10:54:47Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"8NcssTuRMDXoVjz6DYwpvjMgW40+mykRylD/6hNTdT2w0XLYz/a2xmmzQqk10HQXoRqoB1HRdV56GjYQV82wDQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-21T13:16:36.610011Z"},"content_sha256":"1582b10dc36547c201a625c2672f7a2a747bc5e951f23ebd9d57a2ed3f37984b","schema_version":"1.0","event_id":"sha256:1582b10dc36547c201a625c2672f7a2a747bc5e951f23ebd9d57a2ed3f37984b"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:HXGE3JWXHPD7LF35HCU67UQZ7D","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"ThyroidEffi 1.0: A Cost-Effective System for High-Performance Multi-Class Thyroid Carcinoma Classification","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.CV","authors_text":"De Nguyen-Van, Dung Vu-Tien, Hai Pham-Ngoc, Phuong Le-Hong","submitted_at":"2025-04-19T02:13:07Z","abstract_excerpt":"Background: Automated classification of thyroid Fine Needle Aspiration Biopsy (FNAB) images faces challenges in limited data, inter-observer variability, and computational cost. Efficient, interpretable models are crucial for clinical support.\n  Objective: To develop and externally validate a deep learning system for multi-class thyroid FNAB image classification into three key categories directly guiding post-biopsy treatment in Vietnam: Benign (Bethesda II), Indeterminate/Suspicious (BI, III, IV, V), and Malignant (BVI), achieving high diagnostic accuracy with low computational overhead.\n  Me"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2504.14139","kind":"arxiv","version":2},"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/2504.14139/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":"2026-07-05T10:54:47Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Z1pPzU0mTkhBv6hdOaWC5evm/YLuSZQmvuWAPwAZoYgJvJKJ1CLUXeFeGHiId/S6tJWMcYkmu1deo1wKvHmzAA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-21T13:16:36.611214Z"},"content_sha256":"a3222466624c4e6960d978782ad1e9fab8a0b6852c4fb398b4c16d458ebf61c3","schema_version":"1.0","event_id":"sha256:a3222466624c4e6960d978782ad1e9fab8a0b6852c4fb398b4c16d458ebf61c3"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/HXGE3JWXHPD7LF35HCU67UQZ7D/bundle.json","state_url":"https://pith.science/pith/HXGE3JWXHPD7LF35HCU67UQZ7D/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/HXGE3JWXHPD7LF35HCU67UQZ7D/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":"2026-08-21T13:16:36Z","links":{"resolver":"https://pith.science/pith/HXGE3JWXHPD7LF35HCU67UQZ7D","bundle":"https://pith.science/pith/HXGE3JWXHPD7LF35HCU67UQZ7D/bundle.json","state":"https://pith.science/pith/HXGE3JWXHPD7LF35HCU67UQZ7D/state.json","well_known_bundle":"https://pith.science/.well-known/pith/HXGE3JWXHPD7LF35HCU67UQZ7D/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:HXGE3JWXHPD7LF35HCU67UQZ7D","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":"1f2af59dca002ee80d3e4d39d0f4fb97d0b130692ea32a057a1e574a3ef64501","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-04-19T02:13:07Z","title_canon_sha256":"abe4300c3364e560153eba65b9ed3ed1eb602dbc1cbc210c77aab8eefd7b0193"},"schema_version":"1.0","source":{"id":"2504.14139","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2504.14139","created_at":"2026-07-05T10:54:47Z"},{"alias_kind":"arxiv_version","alias_value":"2504.14139v2","created_at":"2026-07-05T10:54:47Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2504.14139","created_at":"2026-07-05T10:54:47Z"},{"alias_kind":"pith_short_12","alias_value":"HXGE3JWXHPD7","created_at":"2026-07-05T10:54:47Z"},{"alias_kind":"pith_short_16","alias_value":"HXGE3JWXHPD7LF35","created_at":"2026-07-05T10:54:47Z"},{"alias_kind":"pith_short_8","alias_value":"HXGE3JWX","created_at":"2026-07-05T10:54:47Z"}],"graph_snapshots":[{"event_id":"sha256:a3222466624c4e6960d978782ad1e9fab8a0b6852c4fb398b4c16d458ebf61c3","target":"graph","created_at":"2026-07-05T10:54:47Z","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/2504.14139/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Background: Automated classification of thyroid Fine Needle Aspiration Biopsy (FNAB) images faces challenges in limited data, inter-observer variability, and computational cost. Efficient, interpretable models are crucial for clinical support.\n  Objective: To develop and externally validate a deep learning system for multi-class thyroid FNAB image classification into three key categories directly guiding post-biopsy treatment in Vietnam: Benign (Bethesda II), Indeterminate/Suspicious (BI, III, IV, V), and Malignant (BVI), achieving high diagnostic accuracy with low computational overhead.\n  Me","authors_text":"De Nguyen-Van, Dung Vu-Tien, Hai Pham-Ngoc, Phuong Le-Hong","cross_cats":["cs.AI"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-04-19T02:13:07Z","title":"ThyroidEffi 1.0: A Cost-Effective System for High-Performance Multi-Class Thyroid Carcinoma Classification"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2504.14139","kind":"arxiv","version":2},"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":"sha256:1582b10dc36547c201a625c2672f7a2a747bc5e951f23ebd9d57a2ed3f37984b","target":"record","created_at":"2026-07-05T10:54:47Z","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":"1f2af59dca002ee80d3e4d39d0f4fb97d0b130692ea32a057a1e574a3ef64501","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-04-19T02:13:07Z","title_canon_sha256":"abe4300c3364e560153eba65b9ed3ed1eb602dbc1cbc210c77aab8eefd7b0193"},"schema_version":"1.0","source":{"id":"2504.14139","kind":"arxiv","version":2}},"canonical_sha256":"3dcc4da6d73bc7f5977d38a9efd219f8cdd9130e5d31d9ceb62dfdb730f3c4ee","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"3dcc4da6d73bc7f5977d38a9efd219f8cdd9130e5d31d9ceb62dfdb730f3c4ee","first_computed_at":"2026-07-05T10:54:47.025582Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:54:47.025582Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"KBJUfWejt0eMMGbSpJGwoyjt0cvSHt/8ANcPlXSgPghlT0nq8GudWdBgjVLzReh/sgR3WOgN2SmQUpSFXgQcAQ==","signature_status":"signed_v1","signed_at":"2026-07-05T10:54:47.026009Z","signed_message":"canonical_sha256_bytes"},"source_id":"2504.14139","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:1582b10dc36547c201a625c2672f7a2a747bc5e951f23ebd9d57a2ed3f37984b","sha256:a3222466624c4e6960d978782ad1e9fab8a0b6852c4fb398b4c16d458ebf61c3"],"state_sha256":"c50e4b8ad0891d953a629ec8b84e3fbbf5c3be05795943ccaac73df65909fe91"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"wgANy38GGrNOkW2p2x5PF/+nQC+/PBSW8FggqcY8J66YXuZp3Lw04vUcoYVmlyJbWyE1FsjcivBlTlTW6ieVCQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-21T13:16:36.618079Z","bundle_sha256":"544cccbddd28a9e3bbbd3b59233b5552755fbf4b4d4f420c9ae7228dc7db839c"}}