{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2025:QN3UEMQPVXVQ7EFTBUWQ4JYOMX","short_pith_number":"pith:QN3UEMQP","schema_version":"1.0","canonical_sha256":"837742320fadeb0f90b30d2d0e270e65e9d896b0f4af70f00a68e96ed1a5c536","source":{"kind":"arxiv","id":"2504.11999","version":1},"attestation_state":"computed","paper":{"title":"A Complex-valued SAR Foundation Model Based on Physically Inspired Representation Learning","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Hanbo Bi, Linlin Xin, Mengyu Wang, Peijin Wang, Shuo Gong, Tianqi Wang, Wenhui Diao, Xian Sun, Yingchao Feng, Zhiyuan Yan","submitted_at":"2025-04-16T11:51:34Z","abstract_excerpt":"Vision foundation models in remote sensing have been extensively studied due to their superior generalization on various downstream tasks. Synthetic Aperture Radar (SAR) offers all-day, all-weather imaging capabilities, providing significant advantages for Earth observation. However, establishing a foundation model for SAR image interpretation inevitably encounters the challenges of insufficient information utilization and poor interpretability. In this paper, we propose a remote sensing foundation model based on complex-valued SAR data, which simulates the polarimetric decomposition process f"},"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":"2504.11999","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-04-16T11:51:34Z","cross_cats_sorted":[],"title_canon_sha256":"9e5587c65667a0a2cbcb6bcf20ce0bbeed22d414417549ee7f03b42eced59b29","abstract_canon_sha256":"c365959ef4ce9f21020091f475f8f4c755cfe31ced068fef01816a9c6da49a11"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T10:50:01.065999Z","signature_b64":"Y1iuc33qOpxOP006wWDCnxYlGYavKgWon0JifSVXQCkqVTCRfP2bqQV/xWXYr95r/R2RQse/htGlD+MuELtyCw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"837742320fadeb0f90b30d2d0e270e65e9d896b0f4af70f00a68e96ed1a5c536","last_reissued_at":"2026-07-05T10:50:01.065530Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T10:50:01.065530Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"A Complex-valued SAR Foundation Model Based on Physically Inspired Representation Learning","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Hanbo Bi, Linlin Xin, Mengyu Wang, Peijin Wang, Shuo Gong, Tianqi Wang, Wenhui Diao, Xian Sun, Yingchao Feng, Zhiyuan Yan","submitted_at":"2025-04-16T11:51:34Z","abstract_excerpt":"Vision foundation models in remote sensing have been extensively studied due to their superior generalization on various downstream tasks. Synthetic Aperture Radar (SAR) offers all-day, all-weather imaging capabilities, providing significant advantages for Earth observation. However, establishing a foundation model for SAR image interpretation inevitably encounters the challenges of insufficient information utilization and poor interpretability. In this paper, we propose a remote sensing foundation model based on complex-valued SAR data, which simulates the polarimetric decomposition process f"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2504.11999","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/2504.11999/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":"2504.11999","created_at":"2026-07-05T10:50:01.065586+00:00"},{"alias_kind":"arxiv_version","alias_value":"2504.11999v1","created_at":"2026-07-05T10:50:01.065586+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2504.11999","created_at":"2026-07-05T10:50:01.065586+00:00"},{"alias_kind":"pith_short_12","alias_value":"QN3UEMQPVXVQ","created_at":"2026-07-05T10:50:01.065586+00:00"},{"alias_kind":"pith_short_16","alias_value":"QN3UEMQPVXVQ7EFT","created_at":"2026-07-05T10:50:01.065586+00:00"},{"alias_kind":"pith_short_8","alias_value":"QN3UEMQP","created_at":"2026-07-05T10:50:01.065586+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/QN3UEMQPVXVQ7EFTBUWQ4JYOMX","json":"https://pith.science/pith/QN3UEMQPVXVQ7EFTBUWQ4JYOMX.json","graph_json":"https://pith.science/api/pith-number/QN3UEMQPVXVQ7EFTBUWQ4JYOMX/graph.json","events_json":"https://pith.science/api/pith-number/QN3UEMQPVXVQ7EFTBUWQ4JYOMX/events.json","paper":"https://pith.science/paper/QN3UEMQP"},"agent_actions":{"view_html":"https://pith.science/pith/QN3UEMQPVXVQ7EFTBUWQ4JYOMX","download_json":"https://pith.science/pith/QN3UEMQPVXVQ7EFTBUWQ4JYOMX.json","view_paper":"https://pith.science/paper/QN3UEMQP","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2504.11999&json=true","fetch_graph":"https://pith.science/api/pith-number/QN3UEMQPVXVQ7EFTBUWQ4JYOMX/graph.json","fetch_events":"https://pith.science/api/pith-number/QN3UEMQPVXVQ7EFTBUWQ4JYOMX/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/QN3UEMQPVXVQ7EFTBUWQ4JYOMX/action/timestamp_anchor","attest_storage":"https://pith.science/pith/QN3UEMQPVXVQ7EFTBUWQ4JYOMX/action/storage_attestation","attest_author":"https://pith.science/pith/QN3UEMQPVXVQ7EFTBUWQ4JYOMX/action/author_attestation","sign_citation":"https://pith.science/pith/QN3UEMQPVXVQ7EFTBUWQ4JYOMX/action/citation_signature","submit_replication":"https://pith.science/pith/QN3UEMQPVXVQ7EFTBUWQ4JYOMX/action/replication_record"}},"created_at":"2026-07-05T10:50:01.065586+00:00","updated_at":"2026-07-05T10:50:01.065586+00:00"}