{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2026:AMOBUP5WQDQFRH2PON5L3ELN2P","short_pith_number":"pith:AMOBUP5W","schema_version":"1.0","canonical_sha256":"031c1a3fb680e0589f4f737abd916dd3d3a3bd2abca60f6b265e1123f11b3917","source":{"kind":"arxiv","id":"2606.08906","version":1},"attestation_state":"computed","paper":{"title":"DifferSeg: Towards Diverse Multimodal Binary Segmentation via Differential Perception and Frequency Guidance","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Dandan Zhu, Jiawei Xu, Qiangqiang Zhou, Xiaoqi Zhao, Yong Chen, Yugen Yi","submitted_at":"2026-06-08T01:10:36Z","abstract_excerpt":"In many binary segmentation tasks, most multimodal methods rely on fixed feature concatenation for cross-modal interaction and straightforward decoder designs dominated by low-frequency semantics. %ToDO: %\nHowever, they ignore two key challenges: one is the lack of an adaptive mechanism to handle modality discrepancies and complementarity, and the other is the absence of an efficient decoding strategy to balance both high- and low-frequency representations. %\nIn this work, we propose a simple yet general multimodal binary segmentation framework, termed DifferSeg, to address both problems simul"},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"2606.08906","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2026-06-08T01:10:36Z","cross_cats_sorted":[],"title_canon_sha256":"a2215f3088e9f01501e66d33d9498a7eb497e378c190d5646faf59d81f6a19b3","abstract_canon_sha256":"cfe01df9ca7982c677db6bd544c2d4a666bb6e6c9354586c8ebac942f7c2da00"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-06-09T02:07:46.582817Z","signature_b64":"X5g5HWazTO0I61uhccT3yr8ee3DiVUoOkkWPQbAj9hUTJyMGF0csQSpQZ0WD6kHDOMESo2jlQXSifoXO2yIFCw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"031c1a3fb680e0589f4f737abd916dd3d3a3bd2abca60f6b265e1123f11b3917","last_reissued_at":"2026-06-09T02:07:46.582281Z","signature_status":"signed_v1","first_computed_at":"2026-06-09T02:07:46.582281Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"DifferSeg: Towards Diverse Multimodal Binary Segmentation via Differential Perception and Frequency Guidance","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Dandan Zhu, Jiawei Xu, Qiangqiang Zhou, Xiaoqi Zhao, Yong Chen, Yugen Yi","submitted_at":"2026-06-08T01:10:36Z","abstract_excerpt":"In many binary segmentation tasks, most multimodal methods rely on fixed feature concatenation for cross-modal interaction and straightforward decoder designs dominated by low-frequency semantics. %ToDO: %\nHowever, they ignore two key challenges: one is the lack of an adaptive mechanism to handle modality discrepancies and complementarity, and the other is the absence of an efficient decoding strategy to balance both high- and low-frequency representations. %\nIn this work, we propose a simple yet general multimodal binary segmentation framework, termed DifferSeg, to address both problems simul"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.08906","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/2606.08906/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"},"aliases":[{"alias_kind":"arxiv","alias_value":"2606.08906","created_at":"2026-06-09T02:07:46.582339+00:00"},{"alias_kind":"arxiv_version","alias_value":"2606.08906v1","created_at":"2026-06-09T02:07:46.582339+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.08906","created_at":"2026-06-09T02:07:46.582339+00:00"},{"alias_kind":"pith_short_12","alias_value":"AMOBUP5WQDQF","created_at":"2026-06-09T02:07:46.582339+00:00"},{"alias_kind":"pith_short_16","alias_value":"AMOBUP5WQDQFRH2P","created_at":"2026-06-09T02:07:46.582339+00:00"},{"alias_kind":"pith_short_8","alias_value":"AMOBUP5W","created_at":"2026-06-09T02:07:46.582339+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/AMOBUP5WQDQFRH2PON5L3ELN2P","json":"https://pith.science/pith/AMOBUP5WQDQFRH2PON5L3ELN2P.json","graph_json":"https://pith.science/api/pith-number/AMOBUP5WQDQFRH2PON5L3ELN2P/graph.json","events_json":"https://pith.science/api/pith-number/AMOBUP5WQDQFRH2PON5L3ELN2P/events.json","paper":"https://pith.science/paper/AMOBUP5W"},"agent_actions":{"view_html":"https://pith.science/pith/AMOBUP5WQDQFRH2PON5L3ELN2P","download_json":"https://pith.science/pith/AMOBUP5WQDQFRH2PON5L3ELN2P.json","view_paper":"https://pith.science/paper/AMOBUP5W","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2606.08906&json=true","fetch_graph":"https://pith.science/api/pith-number/AMOBUP5WQDQFRH2PON5L3ELN2P/graph.json","fetch_events":"https://pith.science/api/pith-number/AMOBUP5WQDQFRH2PON5L3ELN2P/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/AMOBUP5WQDQFRH2PON5L3ELN2P/action/timestamp_anchor","attest_storage":"https://pith.science/pith/AMOBUP5WQDQFRH2PON5L3ELN2P/action/storage_attestation","attest_author":"https://pith.science/pith/AMOBUP5WQDQFRH2PON5L3ELN2P/action/author_attestation","sign_citation":"https://pith.science/pith/AMOBUP5WQDQFRH2PON5L3ELN2P/action/citation_signature","submit_replication":"https://pith.science/pith/AMOBUP5WQDQFRH2PON5L3ELN2P/action/replication_record"}},"created_at":"2026-06-09T02:07:46.582339+00:00","updated_at":"2026-06-09T02:07:46.582339+00:00"}