{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:Z5OZ5YAMFIKZ6OKEFUKVZS5CSV","short_pith_number":"pith:Z5OZ5YAM","canonical_record":{"source":{"id":"2302.04308","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CV","submitted_at":"2023-02-08T19:53:07Z","cross_cats_sorted":[],"title_canon_sha256":"8a57c8a5e0b59b2fe99e1ca333978daf58a25bb0d986f75f4499cab590f1aabc","abstract_canon_sha256":"7ab89c32ef48c6f989ca322588b09def2ce5393a3d33f12fc91c7a1920d2a68f"},"schema_version":"1.0"},"canonical_sha256":"cf5d9ee00c2a159f39442d155ccba29569df6896bd3f398a0ef77971d6314cfb","source":{"kind":"arxiv","id":"2302.04308","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2302.04308","created_at":"2026-07-05T06:43:20Z"},{"alias_kind":"arxiv_version","alias_value":"2302.04308v2","created_at":"2026-07-05T06:43:20Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2302.04308","created_at":"2026-07-05T06:43:20Z"},{"alias_kind":"pith_short_12","alias_value":"Z5OZ5YAMFIKZ","created_at":"2026-07-05T06:43:20Z"},{"alias_kind":"pith_short_16","alias_value":"Z5OZ5YAMFIKZ6OKE","created_at":"2026-07-05T06:43:20Z"},{"alias_kind":"pith_short_8","alias_value":"Z5OZ5YAM","created_at":"2026-07-05T06:43:20Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:Z5OZ5YAMFIKZ6OKEFUKVZS5CSV","target":"record","payload":{"canonical_record":{"source":{"id":"2302.04308","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CV","submitted_at":"2023-02-08T19:53:07Z","cross_cats_sorted":[],"title_canon_sha256":"8a57c8a5e0b59b2fe99e1ca333978daf58a25bb0d986f75f4499cab590f1aabc","abstract_canon_sha256":"7ab89c32ef48c6f989ca322588b09def2ce5393a3d33f12fc91c7a1920d2a68f"},"schema_version":"1.0"},"canonical_sha256":"cf5d9ee00c2a159f39442d155ccba29569df6896bd3f398a0ef77971d6314cfb","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T06:43:20.906979Z","signature_b64":"iXA3DC3uCF0DwG8pRZ8HK+LQCS8b3fn2+4OZnMwIubyp/WVLghQuZ1zPB9YKZsCcezQQogFZWaem8jha+wXtCA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"cf5d9ee00c2a159f39442d155ccba29569df6896bd3f398a0ef77971d6314cfb","last_reissued_at":"2026-07-05T06:43:20.906545Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T06:43:20.906545Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2302.04308","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":"2026-07-05T06:43:20Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"HESn6YN4w3sU9RXrdf/6yxsCtwA3SSBhJatDs9oFRia5kYOdcg8j+0ro2IPm81/5aUl4YxRaBMloVWwkuksFDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-23T19:59:22.073694Z"},"content_sha256":"62d24247f2693f5e5cd01c9cb4708e75d343d55d113d36b6f40b68e7acf2bf6f","schema_version":"1.0","event_id":"sha256:62d24247f2693f5e5cd01c9cb4708e75d343d55d113d36b6f40b68e7acf2bf6f"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:Z5OZ5YAMFIKZ6OKEFUKVZS5CSV","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Enhancing Modality-Agnostic Representations via Meta-Learning for Brain Tumor Segmentation","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Aishik Konwer, Chao Chen, Joseph Bae, Prateek Prasanna, Xiaoling Hu, Xuan Xu","submitted_at":"2023-02-08T19:53:07Z","abstract_excerpt":"In medical vision, different imaging modalities provide complementary information. However, in practice, not all modalities may be available during inference or even training. Previous approaches, e.g., knowledge distillation or image synthesis, often assume the availability of full modalities for all patients during training; this is unrealistic and impractical due to the variability in data collection across sites. We propose a novel approach to learn enhanced modality-agnostic representations by employing a meta-learning strategy in training, even when only limited full modality samples are"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2302.04308","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/2302.04308/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":"2026-07-05T06:43:20Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"392DgjpXMRD/+OgWvxWRLHsmHAhKZpVVc0HVSupwfduJ/DnY+FNY8uf4Cx6PYGVwEJzS2/CTVYw9ULOihCmYDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-23T19:59:22.074315Z"},"content_sha256":"dec76457aeba88b56ef5a305c44fd5edf5b30616d4b9412c3d8c5dd1c661d9e6","schema_version":"1.0","event_id":"sha256:dec76457aeba88b56ef5a305c44fd5edf5b30616d4b9412c3d8c5dd1c661d9e6"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/Z5OZ5YAMFIKZ6OKEFUKVZS5CSV/bundle.json","state_url":"https://pith.science/pith/Z5OZ5YAMFIKZ6OKEFUKVZS5CSV/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/Z5OZ5YAMFIKZ6OKEFUKVZS5CSV/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":"2026-08-23T19:59:22Z","links":{"resolver":"https://pith.science/pith/Z5OZ5YAMFIKZ6OKEFUKVZS5CSV","bundle":"https://pith.science/pith/Z5OZ5YAMFIKZ6OKEFUKVZS5CSV/bundle.json","state":"https://pith.science/pith/Z5OZ5YAMFIKZ6OKEFUKVZS5CSV/state.json","well_known_bundle":"https://pith.science/.well-known/pith/Z5OZ5YAMFIKZ6OKEFUKVZS5CSV/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:Z5OZ5YAMFIKZ6OKEFUKVZS5CSV","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":"7ab89c32ef48c6f989ca322588b09def2ce5393a3d33f12fc91c7a1920d2a68f","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CV","submitted_at":"2023-02-08T19:53:07Z","title_canon_sha256":"8a57c8a5e0b59b2fe99e1ca333978daf58a25bb0d986f75f4499cab590f1aabc"},"schema_version":"1.0","source":{"id":"2302.04308","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2302.04308","created_at":"2026-07-05T06:43:20Z"},{"alias_kind":"arxiv_version","alias_value":"2302.04308v2","created_at":"2026-07-05T06:43:20Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2302.04308","created_at":"2026-07-05T06:43:20Z"},{"alias_kind":"pith_short_12","alias_value":"Z5OZ5YAMFIKZ","created_at":"2026-07-05T06:43:20Z"},{"alias_kind":"pith_short_16","alias_value":"Z5OZ5YAMFIKZ6OKE","created_at":"2026-07-05T06:43:20Z"},{"alias_kind":"pith_short_8","alias_value":"Z5OZ5YAM","created_at":"2026-07-05T06:43:20Z"}],"graph_snapshots":[{"event_id":"sha256:dec76457aeba88b56ef5a305c44fd5edf5b30616d4b9412c3d8c5dd1c661d9e6","target":"graph","created_at":"2026-07-05T06:43:20Z","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/2302.04308/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"In medical vision, different imaging modalities provide complementary information. However, in practice, not all modalities may be available during inference or even training. Previous approaches, e.g., knowledge distillation or image synthesis, often assume the availability of full modalities for all patients during training; this is unrealistic and impractical due to the variability in data collection across sites. We propose a novel approach to learn enhanced modality-agnostic representations by employing a meta-learning strategy in training, even when only limited full modality samples are","authors_text":"Aishik Konwer, Chao Chen, Joseph Bae, Prateek Prasanna, Xiaoling Hu, Xuan Xu","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CV","submitted_at":"2023-02-08T19:53:07Z","title":"Enhancing Modality-Agnostic Representations via Meta-Learning for Brain Tumor Segmentation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2302.04308","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":"sha256:62d24247f2693f5e5cd01c9cb4708e75d343d55d113d36b6f40b68e7acf2bf6f","target":"record","created_at":"2026-07-05T06:43:20Z","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":"7ab89c32ef48c6f989ca322588b09def2ce5393a3d33f12fc91c7a1920d2a68f","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CV","submitted_at":"2023-02-08T19:53:07Z","title_canon_sha256":"8a57c8a5e0b59b2fe99e1ca333978daf58a25bb0d986f75f4499cab590f1aabc"},"schema_version":"1.0","source":{"id":"2302.04308","kind":"arxiv","version":2}},"canonical_sha256":"cf5d9ee00c2a159f39442d155ccba29569df6896bd3f398a0ef77971d6314cfb","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"cf5d9ee00c2a159f39442d155ccba29569df6896bd3f398a0ef77971d6314cfb","first_computed_at":"2026-07-05T06:43:20.906545Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T06:43:20.906545Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"iXA3DC3uCF0DwG8pRZ8HK+LQCS8b3fn2+4OZnMwIubyp/WVLghQuZ1zPB9YKZsCcezQQogFZWaem8jha+wXtCA==","signature_status":"signed_v1","signed_at":"2026-07-05T06:43:20.906979Z","signed_message":"canonical_sha256_bytes"},"source_id":"2302.04308","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:62d24247f2693f5e5cd01c9cb4708e75d343d55d113d36b6f40b68e7acf2bf6f","sha256:dec76457aeba88b56ef5a305c44fd5edf5b30616d4b9412c3d8c5dd1c661d9e6"],"state_sha256":"c1eb150dd0d83db113d010abbe7c59b08e065fd404e224cd6f006c22e31e6163"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"9xxV+spuGy9Tvbcb7PKHRB8qU0w+gKw5nfnIIbyhKgsDp1u97m2OPneqCueZCIgbb3lXT9DT3tQiyqJDsgIbBw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-23T19:59:22.079342Z","bundle_sha256":"52fe902957805d507a98e14470651fe8d0ae75ccdc3b2ce8abada8f58d96afba"}}