{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:2OERACOJBKN4HB7QJLNCPWLCSV","short_pith_number":"pith:2OERACOJ","canonical_record":{"source":{"id":"2505.15637","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/publicdomain/zero/1.0/","primary_cat":"cs.CV","submitted_at":"2025-05-21T15:18:56Z","cross_cats_sorted":[],"title_canon_sha256":"b0d094b4596a8822fe75fb97900be077bc7ba9455d5621b1351b8b5fbf30691d","abstract_canon_sha256":"f12a5a7a9a95a2f496609405657dfcb5c01f887afbc1aab8c5006cd517195ce2"},"schema_version":"1.0"},"canonical_sha256":"d3891009c90a9bc387f04ada27d96295793fed80bd5c7e744ec5bb2d44bd3052","source":{"kind":"arxiv","id":"2505.15637","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2505.15637","created_at":"2026-07-05T11:06:48Z"},{"alias_kind":"arxiv_version","alias_value":"2505.15637v1","created_at":"2026-07-05T11:06:48Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2505.15637","created_at":"2026-07-05T11:06:48Z"},{"alias_kind":"pith_short_12","alias_value":"2OERACOJBKN4","created_at":"2026-07-05T11:06:48Z"},{"alias_kind":"pith_short_16","alias_value":"2OERACOJBKN4HB7Q","created_at":"2026-07-05T11:06:48Z"},{"alias_kind":"pith_short_8","alias_value":"2OERACOJ","created_at":"2026-07-05T11:06:48Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:2OERACOJBKN4HB7QJLNCPWLCSV","target":"record","payload":{"canonical_record":{"source":{"id":"2505.15637","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/publicdomain/zero/1.0/","primary_cat":"cs.CV","submitted_at":"2025-05-21T15:18:56Z","cross_cats_sorted":[],"title_canon_sha256":"b0d094b4596a8822fe75fb97900be077bc7ba9455d5621b1351b8b5fbf30691d","abstract_canon_sha256":"f12a5a7a9a95a2f496609405657dfcb5c01f887afbc1aab8c5006cd517195ce2"},"schema_version":"1.0"},"canonical_sha256":"d3891009c90a9bc387f04ada27d96295793fed80bd5c7e744ec5bb2d44bd3052","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:06:48.861547Z","signature_b64":"U98KtMrWiIKELcXEwvGifhSDSGVeVczKgPOLClydnCCM1eT3GnlOAaAoHJTxP3BQzx5CNbAau6MzGQcqphFVDw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"d3891009c90a9bc387f04ada27d96295793fed80bd5c7e744ec5bb2d44bd3052","last_reissued_at":"2026-07-05T11:06:48.861083Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:06:48.861083Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2505.15637","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":"2026-07-05T11:06:48Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"9Sg36ze6+ombk+xPYfSBmz8Wyxe3i0VwsP2Qv4cKkalcwCH83DfaRvlPoiSCts521iG5dgGyEI+EWXH/bov5DA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-07T08:43:51.071246Z"},"content_sha256":"c1a662b212e18a9a9288bb3cb5ec9d5531601964bb455d0fc97bc3999dcf85ac","schema_version":"1.0","event_id":"sha256:c1a662b212e18a9a9288bb3cb5ec9d5531601964bb455d0fc97bc3999dcf85ac"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:2OERACOJBKN4HB7QJLNCPWLCSV","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Oral Imaging for Malocclusion Issues Assessments: OMNI Dataset, Deep Learning Baselines and Benchmarking","license":"http://creativecommons.org/publicdomain/zero/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Junyi Ge, Linlin Shen, Min Gu, Pujun Xue, Siyang Song, Weicheng Xie, Xiaofeng Liu, Xiaoqin Zhou, Xiaotong Jiang, Yupeng Huo, Zijian Wu","submitted_at":"2025-05-21T15:18:56Z","abstract_excerpt":"Malocclusion is a major challenge in orthodontics, and its complex presentation and diverse clinical manifestations make accurate localization and diagnosis particularly important. Currently, one of the major shortcomings facing the field of dental image analysis is the lack of large-scale, accurately labeled datasets dedicated to malocclusion issues, which limits the development of automated diagnostics in the field of dentistry and leads to a lack of diagnostic accuracy and efficiency in clinical practice. Therefore, in this study, we propose the Oral and Maxillofacial Natural Images (OMNI) "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2505.15637","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/2505.15637/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":"2026-07-05T11:06:48Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"xrnTGlVDBwdyylVJlPcrlB3oN2MBWOnWX+pZM2TtRsrC3vHozdaQXg3tkOsQ64aj2qBP23daPZjKaIRxttZ/Cw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-07T08:43:51.071759Z"},"content_sha256":"3d45a07d5fdbd83b7ba9ee83f158dac877958331fc39f9cbf3e2563ac1ba2a52","schema_version":"1.0","event_id":"sha256:3d45a07d5fdbd83b7ba9ee83f158dac877958331fc39f9cbf3e2563ac1ba2a52"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/2OERACOJBKN4HB7QJLNCPWLCSV/bundle.json","state_url":"https://pith.science/pith/2OERACOJBKN4HB7QJLNCPWLCSV/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/2OERACOJBKN4HB7QJLNCPWLCSV/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":"2026-08-07T08:43:51Z","links":{"resolver":"https://pith.science/pith/2OERACOJBKN4HB7QJLNCPWLCSV","bundle":"https://pith.science/pith/2OERACOJBKN4HB7QJLNCPWLCSV/bundle.json","state":"https://pith.science/pith/2OERACOJBKN4HB7QJLNCPWLCSV/state.json","well_known_bundle":"https://pith.science/.well-known/pith/2OERACOJBKN4HB7QJLNCPWLCSV/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:2OERACOJBKN4HB7QJLNCPWLCSV","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":"f12a5a7a9a95a2f496609405657dfcb5c01f887afbc1aab8c5006cd517195ce2","cross_cats_sorted":[],"license":"http://creativecommons.org/publicdomain/zero/1.0/","primary_cat":"cs.CV","submitted_at":"2025-05-21T15:18:56Z","title_canon_sha256":"b0d094b4596a8822fe75fb97900be077bc7ba9455d5621b1351b8b5fbf30691d"},"schema_version":"1.0","source":{"id":"2505.15637","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2505.15637","created_at":"2026-07-05T11:06:48Z"},{"alias_kind":"arxiv_version","alias_value":"2505.15637v1","created_at":"2026-07-05T11:06:48Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2505.15637","created_at":"2026-07-05T11:06:48Z"},{"alias_kind":"pith_short_12","alias_value":"2OERACOJBKN4","created_at":"2026-07-05T11:06:48Z"},{"alias_kind":"pith_short_16","alias_value":"2OERACOJBKN4HB7Q","created_at":"2026-07-05T11:06:48Z"},{"alias_kind":"pith_short_8","alias_value":"2OERACOJ","created_at":"2026-07-05T11:06:48Z"}],"graph_snapshots":[{"event_id":"sha256:3d45a07d5fdbd83b7ba9ee83f158dac877958331fc39f9cbf3e2563ac1ba2a52","target":"graph","created_at":"2026-07-05T11:06:48Z","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/2505.15637/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Malocclusion is a major challenge in orthodontics, and its complex presentation and diverse clinical manifestations make accurate localization and diagnosis particularly important. Currently, one of the major shortcomings facing the field of dental image analysis is the lack of large-scale, accurately labeled datasets dedicated to malocclusion issues, which limits the development of automated diagnostics in the field of dentistry and leads to a lack of diagnostic accuracy and efficiency in clinical practice. Therefore, in this study, we propose the Oral and Maxillofacial Natural Images (OMNI) ","authors_text":"Junyi Ge, Linlin Shen, Min Gu, Pujun Xue, Siyang Song, Weicheng Xie, Xiaofeng Liu, Xiaoqin Zhou, Xiaotong Jiang, Yupeng Huo, Zijian Wu","cross_cats":[],"headline":"","license":"http://creativecommons.org/publicdomain/zero/1.0/","primary_cat":"cs.CV","submitted_at":"2025-05-21T15:18:56Z","title":"Oral Imaging for Malocclusion Issues Assessments: OMNI Dataset, Deep Learning Baselines and Benchmarking"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2505.15637","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:c1a662b212e18a9a9288bb3cb5ec9d5531601964bb455d0fc97bc3999dcf85ac","target":"record","created_at":"2026-07-05T11:06:48Z","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":"f12a5a7a9a95a2f496609405657dfcb5c01f887afbc1aab8c5006cd517195ce2","cross_cats_sorted":[],"license":"http://creativecommons.org/publicdomain/zero/1.0/","primary_cat":"cs.CV","submitted_at":"2025-05-21T15:18:56Z","title_canon_sha256":"b0d094b4596a8822fe75fb97900be077bc7ba9455d5621b1351b8b5fbf30691d"},"schema_version":"1.0","source":{"id":"2505.15637","kind":"arxiv","version":1}},"canonical_sha256":"d3891009c90a9bc387f04ada27d96295793fed80bd5c7e744ec5bb2d44bd3052","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"d3891009c90a9bc387f04ada27d96295793fed80bd5c7e744ec5bb2d44bd3052","first_computed_at":"2026-07-05T11:06:48.861083Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:06:48.861083Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"U98KtMrWiIKELcXEwvGifhSDSGVeVczKgPOLClydnCCM1eT3GnlOAaAoHJTxP3BQzx5CNbAau6MzGQcqphFVDw==","signature_status":"signed_v1","signed_at":"2026-07-05T11:06:48.861547Z","signed_message":"canonical_sha256_bytes"},"source_id":"2505.15637","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:c1a662b212e18a9a9288bb3cb5ec9d5531601964bb455d0fc97bc3999dcf85ac","sha256:3d45a07d5fdbd83b7ba9ee83f158dac877958331fc39f9cbf3e2563ac1ba2a52"],"state_sha256":"55145241be3631695f49935c505875f71632562fa4e4a1b41046e2e9ac58ef5c"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"8rve1ncvhUNsNo7f73dS0wcn8sTKxUbp/iY2EbnF2wta71up3z1FYRujgJz7dR2riuZ9PRMZSn0YoIYYk1v1AQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-07T08:43:51.075620Z","bundle_sha256":"c6228a07442af7f29826ac7e089cdde55e877850ea99c375f70a17ca063dbea8"}}