{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:U7XXXKYOILBIBMHD5OCGNB2KNX","short_pith_number":"pith:U7XXXKYO","canonical_record":{"source":{"id":"2608.11335","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2026-08-11T18:40:52Z","cross_cats_sorted":["cs.AI","eess.IV"],"title_canon_sha256":"a620916be7d9b03aa8850f33aa736bf5af9c93d19a6e8a87292f5bb78a03bd12","abstract_canon_sha256":"ab5b18cf1ac759d0d84bb70fa4be36cc9895b6c7a6f00a3cafc26f644bcc0445"},"schema_version":"1.0"},"canonical_sha256":"a7ef7bab0e42c280b0e3eb8466874a6dcd473d4bb4f66a4759389391f4554244","source":{"kind":"arxiv","id":"2608.11335","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2608.11335","created_at":"2026-08-13T00:21:37Z"},{"alias_kind":"arxiv_version","alias_value":"2608.11335v1","created_at":"2026-08-13T00:21:37Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2608.11335","created_at":"2026-08-13T00:21:37Z"},{"alias_kind":"pith_short_12","alias_value":"U7XXXKYOILBI","created_at":"2026-08-13T00:21:37Z"},{"alias_kind":"pith_short_16","alias_value":"U7XXXKYOILBIBMHD","created_at":"2026-08-13T00:21:37Z"},{"alias_kind":"pith_short_8","alias_value":"U7XXXKYO","created_at":"2026-08-13T00:21:37Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:U7XXXKYOILBIBMHD5OCGNB2KNX","target":"record","payload":{"canonical_record":{"source":{"id":"2608.11335","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2026-08-11T18:40:52Z","cross_cats_sorted":["cs.AI","eess.IV"],"title_canon_sha256":"a620916be7d9b03aa8850f33aa736bf5af9c93d19a6e8a87292f5bb78a03bd12","abstract_canon_sha256":"ab5b18cf1ac759d0d84bb70fa4be36cc9895b6c7a6f00a3cafc26f644bcc0445"},"schema_version":"1.0"},"canonical_sha256":"a7ef7bab0e42c280b0e3eb8466874a6dcd473d4bb4f66a4759389391f4554244","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-08-13T00:21:37.309428Z","signature_b64":"pAs9/DcNEAojMlmUSgcZCNngDPcW0/Tqq5JmNHm1IPLndgNvyXm66nlfyKGxklo0+qAR1gQHiyooBq2V+IHUDQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"a7ef7bab0e42c280b0e3eb8466874a6dcd473d4bb4f66a4759389391f4554244","last_reissued_at":"2026-08-13T00:21:37.307231Z","signature_status":"signed_v1","first_computed_at":"2026-08-13T00:21:37.307231Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2608.11335","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":"2026-08-13T00:21:37Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"HlZFwr3GIVVuRK9aN98tV4eGdMriZ0YMIhOSIIrPVaPwl8tM6jiLCHsRYSNNtp/k7MClcVKkeg2H8S289fgMCw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-17T23:44:08.123455Z"},"content_sha256":"384aaf80304e8570f82a1dfbbc0f393506c921a83ecea075f1a79245ccfdf977","schema_version":"1.0","event_id":"sha256:384aaf80304e8570f82a1dfbbc0f393506c921a83ecea075f1a79245ccfdf977"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:U7XXXKYOILBIBMHD5OCGNB2KNX","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Dual-Domain Cross-Modal Decoding for Clinical Text-Guided Medical Image Segmentation","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI","eess.IV"],"primary_cat":"cs.CV","authors_text":"Md Maklachur Rahman, Tracy Hammond","submitted_at":"2026-08-11T18:40:52Z","abstract_excerpt":"Clinical text can narrow down what to segment, but recent text-guided designs emphasize spatial alignment while overlooking frequency content that governs texture and boundaries. We propose Dual-Domain Cross-Modal Decoding (DD-CMD) for clinical text-guided pulmonary infection segmentation, integrating two complementary forms of language guidance during decoding. In the spatial domain, Text-Guided Spatial Cross-Attention (TGSA) aligns multi-scale visual tokens with text semantics and updates features through gated residual fusion. In the frequency domain, Spectral-Text Adaptive Modulation (STAM"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2608.11335","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/2608.11335/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":"2026-08-13T00:21:37Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"JZpiY5IMtjITDVz+3X+Oj4nYyl7yoSl/uHrR9p4dGiRE4gD920dr/qJjZlEufoA/Yz5qX39O40lC2jT92yzqCA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-17T23:44:08.124487Z"},"content_sha256":"0c5f3fd723b9c88573b19d4ea2b1ddebfcd36f988ca78be70fe90aeecebcb9c8","schema_version":"1.0","event_id":"sha256:0c5f3fd723b9c88573b19d4ea2b1ddebfcd36f988ca78be70fe90aeecebcb9c8"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/U7XXXKYOILBIBMHD5OCGNB2KNX/bundle.json","state_url":"https://pith.science/pith/U7XXXKYOILBIBMHD5OCGNB2KNX/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/U7XXXKYOILBIBMHD5OCGNB2KNX/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":"2026-08-17T23:44:08Z","links":{"resolver":"https://pith.science/pith/U7XXXKYOILBIBMHD5OCGNB2KNX","bundle":"https://pith.science/pith/U7XXXKYOILBIBMHD5OCGNB2KNX/bundle.json","state":"https://pith.science/pith/U7XXXKYOILBIBMHD5OCGNB2KNX/state.json","well_known_bundle":"https://pith.science/.well-known/pith/U7XXXKYOILBIBMHD5OCGNB2KNX/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:U7XXXKYOILBIBMHD5OCGNB2KNX","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":"ab5b18cf1ac759d0d84bb70fa4be36cc9895b6c7a6f00a3cafc26f644bcc0445","cross_cats_sorted":["cs.AI","eess.IV"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2026-08-11T18:40:52Z","title_canon_sha256":"a620916be7d9b03aa8850f33aa736bf5af9c93d19a6e8a87292f5bb78a03bd12"},"schema_version":"1.0","source":{"id":"2608.11335","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2608.11335","created_at":"2026-08-13T00:21:37Z"},{"alias_kind":"arxiv_version","alias_value":"2608.11335v1","created_at":"2026-08-13T00:21:37Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2608.11335","created_at":"2026-08-13T00:21:37Z"},{"alias_kind":"pith_short_12","alias_value":"U7XXXKYOILBI","created_at":"2026-08-13T00:21:37Z"},{"alias_kind":"pith_short_16","alias_value":"U7XXXKYOILBIBMHD","created_at":"2026-08-13T00:21:37Z"},{"alias_kind":"pith_short_8","alias_value":"U7XXXKYO","created_at":"2026-08-13T00:21:37Z"}],"graph_snapshots":[{"event_id":"sha256:0c5f3fd723b9c88573b19d4ea2b1ddebfcd36f988ca78be70fe90aeecebcb9c8","target":"graph","created_at":"2026-08-13T00:21:37Z","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/2608.11335/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Clinical text can narrow down what to segment, but recent text-guided designs emphasize spatial alignment while overlooking frequency content that governs texture and boundaries. We propose Dual-Domain Cross-Modal Decoding (DD-CMD) for clinical text-guided pulmonary infection segmentation, integrating two complementary forms of language guidance during decoding. In the spatial domain, Text-Guided Spatial Cross-Attention (TGSA) aligns multi-scale visual tokens with text semantics and updates features through gated residual fusion. In the frequency domain, Spectral-Text Adaptive Modulation (STAM","authors_text":"Md Maklachur Rahman, Tracy Hammond","cross_cats":["cs.AI","eess.IV"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2026-08-11T18:40:52Z","title":"Dual-Domain Cross-Modal Decoding for Clinical Text-Guided Medical Image Segmentation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2608.11335","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":"sha256:384aaf80304e8570f82a1dfbbc0f393506c921a83ecea075f1a79245ccfdf977","target":"record","created_at":"2026-08-13T00:21:37Z","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":"ab5b18cf1ac759d0d84bb70fa4be36cc9895b6c7a6f00a3cafc26f644bcc0445","cross_cats_sorted":["cs.AI","eess.IV"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2026-08-11T18:40:52Z","title_canon_sha256":"a620916be7d9b03aa8850f33aa736bf5af9c93d19a6e8a87292f5bb78a03bd12"},"schema_version":"1.0","source":{"id":"2608.11335","kind":"arxiv","version":1}},"canonical_sha256":"a7ef7bab0e42c280b0e3eb8466874a6dcd473d4bb4f66a4759389391f4554244","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"a7ef7bab0e42c280b0e3eb8466874a6dcd473d4bb4f66a4759389391f4554244","first_computed_at":"2026-08-13T00:21:37.307231Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-08-13T00:21:37.307231Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"pAs9/DcNEAojMlmUSgcZCNngDPcW0/Tqq5JmNHm1IPLndgNvyXm66nlfyKGxklo0+qAR1gQHiyooBq2V+IHUDQ==","signature_status":"signed_v1","signed_at":"2026-08-13T00:21:37.309428Z","signed_message":"canonical_sha256_bytes"},"source_id":"2608.11335","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:384aaf80304e8570f82a1dfbbc0f393506c921a83ecea075f1a79245ccfdf977","sha256:0c5f3fd723b9c88573b19d4ea2b1ddebfcd36f988ca78be70fe90aeecebcb9c8"],"state_sha256":"849070f9d9abe50e34b4f7bbe1cd814397257a95fd3b82fa550466980ebd4bbe"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"i2Bkvnw0/cLPizYXbntTmyBlb83CzO6h1b4SjqIV9NBCf85ubRyh38wELQiLq/pb4aa/tbC7FEzMLPUHmGFQBw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-17T23:44:08.134164Z","bundle_sha256":"17464a345a8f5cdd1b24f5611c46e786168372fe3552cc465467eb93f361de05"}}