{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2025:LQMYT7XN2FMGPIG7UPS57PQVSE","short_pith_number":"pith:LQMYT7XN","schema_version":"1.0","canonical_sha256":"5c1989feedd15867a0dfa3e5dfbe15910a5d323e11dc9f3999a9d7f171032ae8","source":{"kind":"arxiv","id":"2503.03370","version":2},"attestation_state":"computed","paper":{"title":"MIAdapt: Source-free Few-shot Domain Adaptive Object Detection for Microscopic Images","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Javed Iqbal, Mohsen Ali, Nimra Dilawar, Sara Nadeem, Waqas Sultani","submitted_at":"2025-03-05T10:46:03Z","abstract_excerpt":"Existing generic unsupervised domain adaptation approaches require access to both a large labeled source dataset and a sufficient unlabeled target dataset during adaptation. However, collecting a large dataset, even if unlabeled, is a challenging and expensive endeavor, especially in medical imaging. In addition, constraints such as privacy issues can result in cases where source data is unavailable. Taking in consideration these challenges, we propose MIAdapt, an adaptive approach for Microscopic Imagery Adaptation as a solution for Source-free Few-shot Domain Adaptive Object detection (SF-FS"},"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":"2503.03370","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CV","submitted_at":"2025-03-05T10:46:03Z","cross_cats_sorted":[],"title_canon_sha256":"6a1757242f7bb7c2ddd6005fc44e03a31cdf00f9d71df24d6b8f6632326a4a56","abstract_canon_sha256":"3709fa8ea3be0acf05dc391beb85cd465f5f8a8cc93092592ef89aecb3929c1e"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T10:25:19.965167Z","signature_b64":"LQCeaekcaBWvbgYhazCjAaV6tMxIN2MIqiEG7ZLZNIFmriR7errDFrbKfjZmLFM4Piu2dVupkksY6p4Ar+T5AQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"5c1989feedd15867a0dfa3e5dfbe15910a5d323e11dc9f3999a9d7f171032ae8","last_reissued_at":"2026-07-05T10:25:19.964442Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T10:25:19.964442Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"MIAdapt: Source-free Few-shot Domain Adaptive Object Detection for Microscopic Images","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Javed Iqbal, Mohsen Ali, Nimra Dilawar, Sara Nadeem, Waqas Sultani","submitted_at":"2025-03-05T10:46:03Z","abstract_excerpt":"Existing generic unsupervised domain adaptation approaches require access to both a large labeled source dataset and a sufficient unlabeled target dataset during adaptation. However, collecting a large dataset, even if unlabeled, is a challenging and expensive endeavor, especially in medical imaging. In addition, constraints such as privacy issues can result in cases where source data is unavailable. Taking in consideration these challenges, we propose MIAdapt, an adaptive approach for Microscopic Imagery Adaptation as a solution for Source-free Few-shot Domain Adaptive Object detection (SF-FS"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2503.03370","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/2503.03370/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":"2503.03370","created_at":"2026-07-05T10:25:19.964514+00:00"},{"alias_kind":"arxiv_version","alias_value":"2503.03370v2","created_at":"2026-07-05T10:25:19.964514+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2503.03370","created_at":"2026-07-05T10:25:19.964514+00:00"},{"alias_kind":"pith_short_12","alias_value":"LQMYT7XN2FMG","created_at":"2026-07-05T10:25:19.964514+00:00"},{"alias_kind":"pith_short_16","alias_value":"LQMYT7XN2FMGPIG7","created_at":"2026-07-05T10:25:19.964514+00:00"},{"alias_kind":"pith_short_8","alias_value":"LQMYT7XN","created_at":"2026-07-05T10:25:19.964514+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/LQMYT7XN2FMGPIG7UPS57PQVSE","json":"https://pith.science/pith/LQMYT7XN2FMGPIG7UPS57PQVSE.json","graph_json":"https://pith.science/api/pith-number/LQMYT7XN2FMGPIG7UPS57PQVSE/graph.json","events_json":"https://pith.science/api/pith-number/LQMYT7XN2FMGPIG7UPS57PQVSE/events.json","paper":"https://pith.science/paper/LQMYT7XN"},"agent_actions":{"view_html":"https://pith.science/pith/LQMYT7XN2FMGPIG7UPS57PQVSE","download_json":"https://pith.science/pith/LQMYT7XN2FMGPIG7UPS57PQVSE.json","view_paper":"https://pith.science/paper/LQMYT7XN","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2503.03370&json=true","fetch_graph":"https://pith.science/api/pith-number/LQMYT7XN2FMGPIG7UPS57PQVSE/graph.json","fetch_events":"https://pith.science/api/pith-number/LQMYT7XN2FMGPIG7UPS57PQVSE/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/LQMYT7XN2FMGPIG7UPS57PQVSE/action/timestamp_anchor","attest_storage":"https://pith.science/pith/LQMYT7XN2FMGPIG7UPS57PQVSE/action/storage_attestation","attest_author":"https://pith.science/pith/LQMYT7XN2FMGPIG7UPS57PQVSE/action/author_attestation","sign_citation":"https://pith.science/pith/LQMYT7XN2FMGPIG7UPS57PQVSE/action/citation_signature","submit_replication":"https://pith.science/pith/LQMYT7XN2FMGPIG7UPS57PQVSE/action/replication_record"}},"created_at":"2026-07-05T10:25:19.964514+00:00","updated_at":"2026-07-05T10:25:19.964514+00:00"}