{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:4YGQTLCQI3HHEMAIADFJMPNMSN","short_pith_number":"pith:4YGQTLCQ","canonical_record":{"source":{"id":"2506.16784","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-06-20T06:57:56Z","cross_cats_sorted":["cs.MM"],"title_canon_sha256":"461259d4b1031ad363875e427d2f65aed22929e9480bbd5b2aa89faa29b25ca9","abstract_canon_sha256":"33fbf51b34cd451985091c1e58247c86c0ea76e740f77c9ac1ea3603c3fe2723"},"schema_version":"1.0"},"canonical_sha256":"e60d09ac5046ce72300800ca963dac935719c1824f15e76552e6cbc50bb3ceff","source":{"kind":"arxiv","id":"2506.16784","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2506.16784","created_at":"2026-07-05T11:25:46Z"},{"alias_kind":"arxiv_version","alias_value":"2506.16784v2","created_at":"2026-07-05T11:25:46Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2506.16784","created_at":"2026-07-05T11:25:46Z"},{"alias_kind":"pith_short_12","alias_value":"4YGQTLCQI3HH","created_at":"2026-07-05T11:25:46Z"},{"alias_kind":"pith_short_16","alias_value":"4YGQTLCQI3HHEMAI","created_at":"2026-07-05T11:25:46Z"},{"alias_kind":"pith_short_8","alias_value":"4YGQTLCQ","created_at":"2026-07-05T11:25:46Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:4YGQTLCQI3HHEMAIADFJMPNMSN","target":"record","payload":{"canonical_record":{"source":{"id":"2506.16784","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-06-20T06:57:56Z","cross_cats_sorted":["cs.MM"],"title_canon_sha256":"461259d4b1031ad363875e427d2f65aed22929e9480bbd5b2aa89faa29b25ca9","abstract_canon_sha256":"33fbf51b34cd451985091c1e58247c86c0ea76e740f77c9ac1ea3603c3fe2723"},"schema_version":"1.0"},"canonical_sha256":"e60d09ac5046ce72300800ca963dac935719c1824f15e76552e6cbc50bb3ceff","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:25:46.942420Z","signature_b64":"AUYeSXxrzDaONzdtd9kWb7qZIuV14ev7HPZSaQgIFNoTdICF9uQOFbq2foiqveMpmt6/xM3igVWlUCEc7InBAg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"e60d09ac5046ce72300800ca963dac935719c1824f15e76552e6cbc50bb3ceff","last_reissued_at":"2026-07-05T11:25:46.941906Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:25:46.941906Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2506.16784","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":"2026-07-05T11:25:46Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"sDrETFwTaQq2iyOM4EztJWVbqVNsAR1qi6O+5oHw5cFosdbvk3dy8YeeUkUYfrIkrcKl+wRSY939F3PmV8KLBA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-17T18:44:44.123112Z"},"content_sha256":"66d7b418c0d038a834ab124c7e5fc84cf281a4adb991db32f707ceb670ad1829","schema_version":"1.0","event_id":"sha256:66d7b418c0d038a834ab124c7e5fc84cf281a4adb991db32f707ceb670ad1829"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:4YGQTLCQI3HHEMAIADFJMPNMSN","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"TextBraTS: Text-Guided Volumetric Brain Tumor Segmentation with Innovative Dataset Development and Fusion Module Exploration","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.MM"],"primary_cat":"cs.CV","authors_text":"Guohua Zhao, Jie Bai, Jingliang Cheng, Lanfen Lin, Rahul Kumar Jain, Ruibo Hou, Rui Xu, Xiaoyu Shi, Yen-Wei Chen, Yinhao Li","submitted_at":"2025-06-20T06:57:56Z","abstract_excerpt":"Deep learning has demonstrated remarkable success in medical image segmentation and computer-aided diagnosis. In particular, numerous advanced methods have achieved state-of-the-art performance in brain tumor segmentation from MRI scans. While recent studies in other medical imaging domains have revealed that integrating textual reports with visual data can enhance segmentation accuracy, the field of brain tumor analysis lacks a comprehensive dataset that combines radiological images with corresponding textual annotations. This limitation has hindered the exploration of multimodal approaches t"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2506.16784","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/2506.16784/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":"2026-07-05T11:25:46Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ERNLzsahh6tvXhlGlJDa92Zv4R8uPMBhHW3BIkkQvdSd6z6Bi8zo6MG0vDkK8LeFqb0kNSQhqRqBS7oviNXjBA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-17T18:44:44.123678Z"},"content_sha256":"59eab853329c61f7c380caf3f9786af421f143b7b171a92de69c80467d7cb365","schema_version":"1.0","event_id":"sha256:59eab853329c61f7c380caf3f9786af421f143b7b171a92de69c80467d7cb365"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/4YGQTLCQI3HHEMAIADFJMPNMSN/bundle.json","state_url":"https://pith.science/pith/4YGQTLCQI3HHEMAIADFJMPNMSN/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/4YGQTLCQI3HHEMAIADFJMPNMSN/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":"2026-08-17T18:44:44Z","links":{"resolver":"https://pith.science/pith/4YGQTLCQI3HHEMAIADFJMPNMSN","bundle":"https://pith.science/pith/4YGQTLCQI3HHEMAIADFJMPNMSN/bundle.json","state":"https://pith.science/pith/4YGQTLCQI3HHEMAIADFJMPNMSN/state.json","well_known_bundle":"https://pith.science/.well-known/pith/4YGQTLCQI3HHEMAIADFJMPNMSN/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:4YGQTLCQI3HHEMAIADFJMPNMSN","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":"33fbf51b34cd451985091c1e58247c86c0ea76e740f77c9ac1ea3603c3fe2723","cross_cats_sorted":["cs.MM"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-06-20T06:57:56Z","title_canon_sha256":"461259d4b1031ad363875e427d2f65aed22929e9480bbd5b2aa89faa29b25ca9"},"schema_version":"1.0","source":{"id":"2506.16784","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2506.16784","created_at":"2026-07-05T11:25:46Z"},{"alias_kind":"arxiv_version","alias_value":"2506.16784v2","created_at":"2026-07-05T11:25:46Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2506.16784","created_at":"2026-07-05T11:25:46Z"},{"alias_kind":"pith_short_12","alias_value":"4YGQTLCQI3HH","created_at":"2026-07-05T11:25:46Z"},{"alias_kind":"pith_short_16","alias_value":"4YGQTLCQI3HHEMAI","created_at":"2026-07-05T11:25:46Z"},{"alias_kind":"pith_short_8","alias_value":"4YGQTLCQ","created_at":"2026-07-05T11:25:46Z"}],"graph_snapshots":[{"event_id":"sha256:59eab853329c61f7c380caf3f9786af421f143b7b171a92de69c80467d7cb365","target":"graph","created_at":"2026-07-05T11:25:46Z","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/2506.16784/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Deep learning has demonstrated remarkable success in medical image segmentation and computer-aided diagnosis. In particular, numerous advanced methods have achieved state-of-the-art performance in brain tumor segmentation from MRI scans. While recent studies in other medical imaging domains have revealed that integrating textual reports with visual data can enhance segmentation accuracy, the field of brain tumor analysis lacks a comprehensive dataset that combines radiological images with corresponding textual annotations. This limitation has hindered the exploration of multimodal approaches t","authors_text":"Guohua Zhao, Jie Bai, Jingliang Cheng, Lanfen Lin, Rahul Kumar Jain, Ruibo Hou, Rui Xu, Xiaoyu Shi, Yen-Wei Chen, Yinhao Li","cross_cats":["cs.MM"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-06-20T06:57:56Z","title":"TextBraTS: Text-Guided Volumetric Brain Tumor Segmentation with Innovative Dataset Development and Fusion Module Exploration"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2506.16784","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":"sha256:66d7b418c0d038a834ab124c7e5fc84cf281a4adb991db32f707ceb670ad1829","target":"record","created_at":"2026-07-05T11:25:46Z","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":"33fbf51b34cd451985091c1e58247c86c0ea76e740f77c9ac1ea3603c3fe2723","cross_cats_sorted":["cs.MM"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-06-20T06:57:56Z","title_canon_sha256":"461259d4b1031ad363875e427d2f65aed22929e9480bbd5b2aa89faa29b25ca9"},"schema_version":"1.0","source":{"id":"2506.16784","kind":"arxiv","version":2}},"canonical_sha256":"e60d09ac5046ce72300800ca963dac935719c1824f15e76552e6cbc50bb3ceff","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"e60d09ac5046ce72300800ca963dac935719c1824f15e76552e6cbc50bb3ceff","first_computed_at":"2026-07-05T11:25:46.941906Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:25:46.941906Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"AUYeSXxrzDaONzdtd9kWb7qZIuV14ev7HPZSaQgIFNoTdICF9uQOFbq2foiqveMpmt6/xM3igVWlUCEc7InBAg==","signature_status":"signed_v1","signed_at":"2026-07-05T11:25:46.942420Z","signed_message":"canonical_sha256_bytes"},"source_id":"2506.16784","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:66d7b418c0d038a834ab124c7e5fc84cf281a4adb991db32f707ceb670ad1829","sha256:59eab853329c61f7c380caf3f9786af421f143b7b171a92de69c80467d7cb365"],"state_sha256":"80762877529225d28b0f9d4ddc7bfc48439755e5526b5b7e60d7d05d9ff9117e"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Ha4yTOX6RhA9P7PBLRWFSZMUeXZ8rUB926V0Xz85Cx6vBKhxc/z8XW1IG1YuBTOxbxldTG3nR1fhSgWXxYVUAQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-17T18:44:44.129750Z","bundle_sha256":"c9eea097ebcc66adda31feda79d1f005537a067345ffe02cb990c17ec800d10b"}}