{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:TRTAOAVXPKNOTTHQ7U235T4SX5","short_pith_number":"pith:TRTAOAVX","canonical_record":{"source":{"id":"2412.06045","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2024-12-08T19:49:30Z","cross_cats_sorted":["cs.CV","cs.LG"],"title_canon_sha256":"c23baefaa58ea70308818ffa0842118f515bf2de4424ed4e80378076993422e4","abstract_canon_sha256":"19983187422ddfca2db55ffba6bead4b141bd55ee29efad8e7e2c7bec883998a"},"schema_version":"1.0"},"canonical_sha256":"9c660702b77a9ae9ccf0fd35becf92bf638057ee7c83bdf80ea7044489b27fd8","source":{"kind":"arxiv","id":"2412.06045","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2412.06045","created_at":"2026-07-05T09:46:13Z"},{"alias_kind":"arxiv_version","alias_value":"2412.06045v1","created_at":"2026-07-05T09:46:13Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2412.06045","created_at":"2026-07-05T09:46:13Z"},{"alias_kind":"pith_short_12","alias_value":"TRTAOAVXPKNO","created_at":"2026-07-05T09:46:13Z"},{"alias_kind":"pith_short_16","alias_value":"TRTAOAVXPKNOTTHQ","created_at":"2026-07-05T09:46:13Z"},{"alias_kind":"pith_short_8","alias_value":"TRTAOAVX","created_at":"2026-07-05T09:46:13Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:TRTAOAVXPKNOTTHQ7U235T4SX5","target":"record","payload":{"canonical_record":{"source":{"id":"2412.06045","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2024-12-08T19:49:30Z","cross_cats_sorted":["cs.CV","cs.LG"],"title_canon_sha256":"c23baefaa58ea70308818ffa0842118f515bf2de4424ed4e80378076993422e4","abstract_canon_sha256":"19983187422ddfca2db55ffba6bead4b141bd55ee29efad8e7e2c7bec883998a"},"schema_version":"1.0"},"canonical_sha256":"9c660702b77a9ae9ccf0fd35becf92bf638057ee7c83bdf80ea7044489b27fd8","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T09:46:13.684987Z","signature_b64":"24q4G8hvbGYlysW6VrHZn+UHtXHQaOUbOjbBF7ojWWZi6drA+g6g9WZAqWlANBpeEM0aetnQcTPzChFbYhndCg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"9c660702b77a9ae9ccf0fd35becf92bf638057ee7c83bdf80ea7044489b27fd8","last_reissued_at":"2026-07-05T09:46:13.684496Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T09:46:13.684496Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2412.06045","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":"2026-07-05T09:46:13Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ymgiNhogoe7XSBIX83H/QRqfdIU9o3Krq4avR3AMmuPW5RMyAmVnGHcv2+Qg9I5XDS29/wLuCXny8ngXpjL6Dg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-15T21:14:51.135872Z"},"content_sha256":"fe69bbe4a42e77349201aa5ae38d9b0515d75dc5fbeb75b421e4de6f7dc1de3d","schema_version":"1.0","event_id":"sha256:fe69bbe4a42e77349201aa5ae38d9b0515d75dc5fbeb75b421e4de6f7dc1de3d"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:TRTAOAVXPKNOTTHQ7U235T4SX5","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Dilated Balanced Cross Entropy Loss for Medical Image Segmentation","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.CV","cs.LG"],"primary_cat":"eess.IV","authors_text":"Mahdieh Soleymani Baghshah, Seyed Mohsen Hosseini","submitted_at":"2024-12-08T19:49:30Z","abstract_excerpt":"A novel method for tackling the problem of imbalanced data in medical image segmentation is proposed in this work. In balanced cross entropy (CE) loss, which is a type of weighted CE loss, the weight assigned to each class is the in-verse of the class frequency. These balancing weights are expected to equalize the effect of each class on the overall loss and prevent the model from being biased towards the majority class. But, as it has been shown in previous studies, this method degrades the performance by a large margin. Therefore, balanced CE is not a popular loss in medical segmentation tas"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2412.06045","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/2412.06045/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":"2026-07-05T09:46:13Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"WMMC4i8IK2v4LW5dw9HNRlS8yYdKEIrwKoyDtXgn9S3Jeiswu+IK82GdmqQVZPHj3ZUevwRxjAKMPHBMc7j4Aw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-15T21:14:51.136440Z"},"content_sha256":"4df30a24c8271392e8d1d7f6894a4bce7fef82e952923af345fbbc7b6141d8ee","schema_version":"1.0","event_id":"sha256:4df30a24c8271392e8d1d7f6894a4bce7fef82e952923af345fbbc7b6141d8ee"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/TRTAOAVXPKNOTTHQ7U235T4SX5/bundle.json","state_url":"https://pith.science/pith/TRTAOAVXPKNOTTHQ7U235T4SX5/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/TRTAOAVXPKNOTTHQ7U235T4SX5/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":"2026-08-15T21:14:51Z","links":{"resolver":"https://pith.science/pith/TRTAOAVXPKNOTTHQ7U235T4SX5","bundle":"https://pith.science/pith/TRTAOAVXPKNOTTHQ7U235T4SX5/bundle.json","state":"https://pith.science/pith/TRTAOAVXPKNOTTHQ7U235T4SX5/state.json","well_known_bundle":"https://pith.science/.well-known/pith/TRTAOAVXPKNOTTHQ7U235T4SX5/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:TRTAOAVXPKNOTTHQ7U235T4SX5","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":"19983187422ddfca2db55ffba6bead4b141bd55ee29efad8e7e2c7bec883998a","cross_cats_sorted":["cs.CV","cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2024-12-08T19:49:30Z","title_canon_sha256":"c23baefaa58ea70308818ffa0842118f515bf2de4424ed4e80378076993422e4"},"schema_version":"1.0","source":{"id":"2412.06045","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2412.06045","created_at":"2026-07-05T09:46:13Z"},{"alias_kind":"arxiv_version","alias_value":"2412.06045v1","created_at":"2026-07-05T09:46:13Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2412.06045","created_at":"2026-07-05T09:46:13Z"},{"alias_kind":"pith_short_12","alias_value":"TRTAOAVXPKNO","created_at":"2026-07-05T09:46:13Z"},{"alias_kind":"pith_short_16","alias_value":"TRTAOAVXPKNOTTHQ","created_at":"2026-07-05T09:46:13Z"},{"alias_kind":"pith_short_8","alias_value":"TRTAOAVX","created_at":"2026-07-05T09:46:13Z"}],"graph_snapshots":[{"event_id":"sha256:4df30a24c8271392e8d1d7f6894a4bce7fef82e952923af345fbbc7b6141d8ee","target":"graph","created_at":"2026-07-05T09:46:13Z","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/2412.06045/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"A novel method for tackling the problem of imbalanced data in medical image segmentation is proposed in this work. In balanced cross entropy (CE) loss, which is a type of weighted CE loss, the weight assigned to each class is the in-verse of the class frequency. These balancing weights are expected to equalize the effect of each class on the overall loss and prevent the model from being biased towards the majority class. But, as it has been shown in previous studies, this method degrades the performance by a large margin. Therefore, balanced CE is not a popular loss in medical segmentation tas","authors_text":"Mahdieh Soleymani Baghshah, Seyed Mohsen Hosseini","cross_cats":["cs.CV","cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2024-12-08T19:49:30Z","title":"Dilated Balanced Cross Entropy Loss for Medical Image Segmentation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2412.06045","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:fe69bbe4a42e77349201aa5ae38d9b0515d75dc5fbeb75b421e4de6f7dc1de3d","target":"record","created_at":"2026-07-05T09:46:13Z","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":"19983187422ddfca2db55ffba6bead4b141bd55ee29efad8e7e2c7bec883998a","cross_cats_sorted":["cs.CV","cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2024-12-08T19:49:30Z","title_canon_sha256":"c23baefaa58ea70308818ffa0842118f515bf2de4424ed4e80378076993422e4"},"schema_version":"1.0","source":{"id":"2412.06045","kind":"arxiv","version":1}},"canonical_sha256":"9c660702b77a9ae9ccf0fd35becf92bf638057ee7c83bdf80ea7044489b27fd8","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"9c660702b77a9ae9ccf0fd35becf92bf638057ee7c83bdf80ea7044489b27fd8","first_computed_at":"2026-07-05T09:46:13.684496Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:46:13.684496Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"24q4G8hvbGYlysW6VrHZn+UHtXHQaOUbOjbBF7ojWWZi6drA+g6g9WZAqWlANBpeEM0aetnQcTPzChFbYhndCg==","signature_status":"signed_v1","signed_at":"2026-07-05T09:46:13.684987Z","signed_message":"canonical_sha256_bytes"},"source_id":"2412.06045","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:fe69bbe4a42e77349201aa5ae38d9b0515d75dc5fbeb75b421e4de6f7dc1de3d","sha256:4df30a24c8271392e8d1d7f6894a4bce7fef82e952923af345fbbc7b6141d8ee"],"state_sha256":"c8a26e87967d9f98a430941662f75bc2a0d1d4845a6ce5e429bf5606cc24e9d1"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"whr0zu9attg6JnvVhMuINo4JqBzXNR/jchKS8faD3xLNsVt3HvEIjoByaQOi0Rs9W4Tfy64giT1IIKLqQbVGDA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-15T21:14:51.142617Z","bundle_sha256":"79322f5f3c685f0bb90caeb016379a76ab1479fc5c3e6daf96f3a4471f85738c"}}