{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:I23ZQWFMLGNN5P4NA5EOEVJJ65","short_pith_number":"pith:I23ZQWFM","canonical_record":{"source":{"id":"2411.10746","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2024-11-16T08:59:20Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"a3386451993ceb09e300a8a9dc6f2dca969a2782d7213050485f2a7637ca8290","abstract_canon_sha256":"4341b175172d69c65f4dcc672fd5afb1846085b3b2efec8a3235bff1507002c1"},"schema_version":"1.0"},"canonical_sha256":"46b79858ac599adebf8d0748e25529f75166c4e825262d63042891a8e2c67fb8","source":{"kind":"arxiv","id":"2411.10746","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2411.10746","created_at":"2026-07-05T09:36:21Z"},{"alias_kind":"arxiv_version","alias_value":"2411.10746v1","created_at":"2026-07-05T09:36:21Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2411.10746","created_at":"2026-07-05T09:36:21Z"},{"alias_kind":"pith_short_12","alias_value":"I23ZQWFMLGNN","created_at":"2026-07-05T09:36:21Z"},{"alias_kind":"pith_short_16","alias_value":"I23ZQWFMLGNN5P4N","created_at":"2026-07-05T09:36:21Z"},{"alias_kind":"pith_short_8","alias_value":"I23ZQWFM","created_at":"2026-07-05T09:36:21Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:I23ZQWFMLGNN5P4NA5EOEVJJ65","target":"record","payload":{"canonical_record":{"source":{"id":"2411.10746","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2024-11-16T08:59:20Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"a3386451993ceb09e300a8a9dc6f2dca969a2782d7213050485f2a7637ca8290","abstract_canon_sha256":"4341b175172d69c65f4dcc672fd5afb1846085b3b2efec8a3235bff1507002c1"},"schema_version":"1.0"},"canonical_sha256":"46b79858ac599adebf8d0748e25529f75166c4e825262d63042891a8e2c67fb8","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T09:36:21.487942Z","signature_b64":"BdPIbUNeGACcZ0zRdDGK2RCU11iZtMePGBJlihUrj0MEWfkJI3poZ/TltN+gJAIEoI55L3qzrGINwC0tYbDqAg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"46b79858ac599adebf8d0748e25529f75166c4e825262d63042891a8e2c67fb8","last_reissued_at":"2026-07-05T09:36:21.487526Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T09:36:21.487526Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2411.10746","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":"2026-07-05T09:36:21Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"IT97oUSf99t2u8u5aGztI2AU3k4oFhJhaw6TwpB7TfR7pzXqfElkvxxTM7UXzH4sNLvJhCftCM8uB3ibdoLlCw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-06T08:12:47.731756Z"},"content_sha256":"6290c8b9192b894e1993a05573f3bfed6b1890e7bc1d2779e833ba6fe18e6614","schema_version":"1.0","event_id":"sha256:6290c8b9192b894e1993a05573f3bfed6b1890e7bc1d2779e833ba6fe18e6614"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:I23ZQWFMLGNN5P4NA5EOEVJJ65","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"LTCXNet: Advancing Chest X-Ray Analysis with Solutions for Long-Tailed Multi-Label Classification and Fairness Challenges","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.CV","authors_text":"Chin-Wei Huang, Chi-Yu Chen, Kuan-Chang Shih, Mu-Yi Shen, Po-Chih Kuo, Shih-Chih Lin","submitted_at":"2024-11-16T08:59:20Z","abstract_excerpt":"Chest X-rays (CXRs) often display various diseases with disparate class frequencies, leading to a long-tailed, multi-label data distribution. In response to this challenge, we explore the Pruned MIMIC-CXR-LT dataset, a curated collection derived from the MIMIC-CXR dataset, specifically designed to represent a long-tailed and multi-label data scenario. We introduce LTCXNet, a novel framework that integrates the ConvNeXt model, ML-Decoder, and strategic data augmentation, further enhanced by an ensemble approach. We demonstrate that LTCXNet improves the performance of CXR interpretation across a"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2411.10746","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/2411.10746/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":"2026-07-05T09:36:21Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"kdfIkI1YJly+/apEd1Vv/rDnbiKtXzr4qJVXF+UUAUP9mfee1OQsw/M7OnYVYRBDKaln6XIaQvo3wGERExnnDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-06T08:12:47.732138Z"},"content_sha256":"851ff1cc3a010095e793e0f9e5408b469d37984ef827120e157449eb1a9a3a78","schema_version":"1.0","event_id":"sha256:851ff1cc3a010095e793e0f9e5408b469d37984ef827120e157449eb1a9a3a78"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/I23ZQWFMLGNN5P4NA5EOEVJJ65/bundle.json","state_url":"https://pith.science/pith/I23ZQWFMLGNN5P4NA5EOEVJJ65/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/I23ZQWFMLGNN5P4NA5EOEVJJ65/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":"2026-07-06T08:12:47Z","links":{"resolver":"https://pith.science/pith/I23ZQWFMLGNN5P4NA5EOEVJJ65","bundle":"https://pith.science/pith/I23ZQWFMLGNN5P4NA5EOEVJJ65/bundle.json","state":"https://pith.science/pith/I23ZQWFMLGNN5P4NA5EOEVJJ65/state.json","well_known_bundle":"https://pith.science/.well-known/pith/I23ZQWFMLGNN5P4NA5EOEVJJ65/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:I23ZQWFMLGNN5P4NA5EOEVJJ65","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":"4341b175172d69c65f4dcc672fd5afb1846085b3b2efec8a3235bff1507002c1","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2024-11-16T08:59:20Z","title_canon_sha256":"a3386451993ceb09e300a8a9dc6f2dca969a2782d7213050485f2a7637ca8290"},"schema_version":"1.0","source":{"id":"2411.10746","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2411.10746","created_at":"2026-07-05T09:36:21Z"},{"alias_kind":"arxiv_version","alias_value":"2411.10746v1","created_at":"2026-07-05T09:36:21Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2411.10746","created_at":"2026-07-05T09:36:21Z"},{"alias_kind":"pith_short_12","alias_value":"I23ZQWFMLGNN","created_at":"2026-07-05T09:36:21Z"},{"alias_kind":"pith_short_16","alias_value":"I23ZQWFMLGNN5P4N","created_at":"2026-07-05T09:36:21Z"},{"alias_kind":"pith_short_8","alias_value":"I23ZQWFM","created_at":"2026-07-05T09:36:21Z"}],"graph_snapshots":[{"event_id":"sha256:851ff1cc3a010095e793e0f9e5408b469d37984ef827120e157449eb1a9a3a78","target":"graph","created_at":"2026-07-05T09:36:21Z","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/2411.10746/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Chest X-rays (CXRs) often display various diseases with disparate class frequencies, leading to a long-tailed, multi-label data distribution. In response to this challenge, we explore the Pruned MIMIC-CXR-LT dataset, a curated collection derived from the MIMIC-CXR dataset, specifically designed to represent a long-tailed and multi-label data scenario. We introduce LTCXNet, a novel framework that integrates the ConvNeXt model, ML-Decoder, and strategic data augmentation, further enhanced by an ensemble approach. We demonstrate that LTCXNet improves the performance of CXR interpretation across a","authors_text":"Chin-Wei Huang, Chi-Yu Chen, Kuan-Chang Shih, Mu-Yi Shen, Po-Chih Kuo, Shih-Chih Lin","cross_cats":["cs.AI"],"headline":"","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2024-11-16T08:59:20Z","title":"LTCXNet: Advancing Chest X-Ray Analysis with Solutions for Long-Tailed Multi-Label Classification and Fairness Challenges"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2411.10746","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":"sha256:6290c8b9192b894e1993a05573f3bfed6b1890e7bc1d2779e833ba6fe18e6614","target":"record","created_at":"2026-07-05T09:36:21Z","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":"4341b175172d69c65f4dcc672fd5afb1846085b3b2efec8a3235bff1507002c1","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2024-11-16T08:59:20Z","title_canon_sha256":"a3386451993ceb09e300a8a9dc6f2dca969a2782d7213050485f2a7637ca8290"},"schema_version":"1.0","source":{"id":"2411.10746","kind":"arxiv","version":1}},"canonical_sha256":"46b79858ac599adebf8d0748e25529f75166c4e825262d63042891a8e2c67fb8","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"46b79858ac599adebf8d0748e25529f75166c4e825262d63042891a8e2c67fb8","first_computed_at":"2026-07-05T09:36:21.487526Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:36:21.487526Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"BdPIbUNeGACcZ0zRdDGK2RCU11iZtMePGBJlihUrj0MEWfkJI3poZ/TltN+gJAIEoI55L3qzrGINwC0tYbDqAg==","signature_status":"signed_v1","signed_at":"2026-07-05T09:36:21.487942Z","signed_message":"canonical_sha256_bytes"},"source_id":"2411.10746","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:6290c8b9192b894e1993a05573f3bfed6b1890e7bc1d2779e833ba6fe18e6614","sha256:851ff1cc3a010095e793e0f9e5408b469d37984ef827120e157449eb1a9a3a78"],"state_sha256":"f5f30afbaf9322900b634c5ba663bc8ec468ba78fae617df46f6af10dc637750"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"MgxKn9Ug6rtnAl/SoXjUpR6g2Tuo1kVqwUYp0jsmTxQOT0VG5IrNXv47HVokO/qzAEIPchdfee5aPQ1bWXyfBQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-06T08:12:47.734197Z","bundle_sha256":"377afc813f520c259142f6b0d1622bd2a83a32ebdd23d8357e66e8290d2d31b4"}}