{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2025:PNNM577LK6G335PBL2JLFFCE4L","short_pith_number":"pith:PNNM577L","schema_version":"1.0","canonical_sha256":"7b5aceffeb578dbdf5e15e92b29444e2c58573b489e7a30cba28cd0078a8ecf3","source":{"kind":"arxiv","id":"2507.07994","version":3},"attestation_state":"computed","paper":{"title":"Doodle Your Keypoints: Sketch-Based Few-Shot Keypoint Detection","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Aneeshan Sain, Ayan Kumar Bhunia, Pinaki Nath Chowdhury, Subhadeep Koley, Subhajit Maity, Yi-Zhe Song","submitted_at":"2025-07-10T17:59:49Z","abstract_excerpt":"Keypoint detection, integral to modern machine perception, faces challenges in few-shot learning, particularly when source data from the same distribution as the query is unavailable. This gap is addressed by leveraging sketches, a popular form of human expression, providing a source-free alternative. However, challenges arise in mastering cross-modal embeddings and handling user-specific sketch styles. Our proposed framework overcomes these hurdles with a prototypical setup, combined with a grid-based locator and prototypical domain adaptation. We also demonstrate success in few-shot converge"},"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":"2507.07994","kind":"arxiv","version":3},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2025-07-10T17:59:49Z","cross_cats_sorted":[],"title_canon_sha256":"83e97419a1db03386c9f50cb3840ba79e99ac82f8f77b734e07991ae15d25f6f","abstract_canon_sha256":"9751baabbe948fdbbcb39538dd1c9f02afda5a58b320713158b410328c710a31"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:44:08.730867Z","signature_b64":"ebO3xOvGQNNJ8e5uQAo8lDQV1Iga7Fq4G12O/lHqjSK7sP4RirDA91Pb/ftbawJrVKOn2WagYMy01PBAmhgmAQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"7b5aceffeb578dbdf5e15e92b29444e2c58573b489e7a30cba28cd0078a8ecf3","last_reissued_at":"2026-07-05T11:44:08.730382Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:44:08.730382Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Doodle Your Keypoints: Sketch-Based Few-Shot Keypoint Detection","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Aneeshan Sain, Ayan Kumar Bhunia, Pinaki Nath Chowdhury, Subhadeep Koley, Subhajit Maity, Yi-Zhe Song","submitted_at":"2025-07-10T17:59:49Z","abstract_excerpt":"Keypoint detection, integral to modern machine perception, faces challenges in few-shot learning, particularly when source data from the same distribution as the query is unavailable. This gap is addressed by leveraging sketches, a popular form of human expression, providing a source-free alternative. However, challenges arise in mastering cross-modal embeddings and handling user-specific sketch styles. Our proposed framework overcomes these hurdles with a prototypical setup, combined with a grid-based locator and prototypical domain adaptation. We also demonstrate success in few-shot converge"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2507.07994","kind":"arxiv","version":3},"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/2507.07994/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":"2507.07994","created_at":"2026-07-05T11:44:08.730445+00:00"},{"alias_kind":"arxiv_version","alias_value":"2507.07994v3","created_at":"2026-07-05T11:44:08.730445+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2507.07994","created_at":"2026-07-05T11:44:08.730445+00:00"},{"alias_kind":"pith_short_12","alias_value":"PNNM577LK6G3","created_at":"2026-07-05T11:44:08.730445+00:00"},{"alias_kind":"pith_short_16","alias_value":"PNNM577LK6G335PB","created_at":"2026-07-05T11:44:08.730445+00:00"},{"alias_kind":"pith_short_8","alias_value":"PNNM577L","created_at":"2026-07-05T11:44:08.730445+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/PNNM577LK6G335PBL2JLFFCE4L","json":"https://pith.science/pith/PNNM577LK6G335PBL2JLFFCE4L.json","graph_json":"https://pith.science/api/pith-number/PNNM577LK6G335PBL2JLFFCE4L/graph.json","events_json":"https://pith.science/api/pith-number/PNNM577LK6G335PBL2JLFFCE4L/events.json","paper":"https://pith.science/paper/PNNM577L"},"agent_actions":{"view_html":"https://pith.science/pith/PNNM577LK6G335PBL2JLFFCE4L","download_json":"https://pith.science/pith/PNNM577LK6G335PBL2JLFFCE4L.json","view_paper":"https://pith.science/paper/PNNM577L","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2507.07994&json=true","fetch_graph":"https://pith.science/api/pith-number/PNNM577LK6G335PBL2JLFFCE4L/graph.json","fetch_events":"https://pith.science/api/pith-number/PNNM577LK6G335PBL2JLFFCE4L/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/PNNM577LK6G335PBL2JLFFCE4L/action/timestamp_anchor","attest_storage":"https://pith.science/pith/PNNM577LK6G335PBL2JLFFCE4L/action/storage_attestation","attest_author":"https://pith.science/pith/PNNM577LK6G335PBL2JLFFCE4L/action/author_attestation","sign_citation":"https://pith.science/pith/PNNM577LK6G335PBL2JLFFCE4L/action/citation_signature","submit_replication":"https://pith.science/pith/PNNM577LK6G335PBL2JLFFCE4L/action/replication_record"}},"created_at":"2026-07-05T11:44:08.730445+00:00","updated_at":"2026-07-05T11:44:08.730445+00:00"}