{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2025:4CQOGF7RY6XR2OQFZSKWUVTEOC","short_pith_number":"pith:4CQOGF7R","schema_version":"1.0","canonical_sha256":"e0a0e317f1c7af1d3a05cc956a566470926b6214c0397d14da5ee9f8e3bc826e","source":{"kind":"arxiv","id":"2507.15308","version":1},"attestation_state":"computed","paper":{"title":"Few-Shot Object Detection via Spatial-Channel State Space Model","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Dingjie Fu, Shiming Chen, Tianxu Wu, Xinge You, Yixiong Zou, Zhimeng Xin","submitted_at":"2025-07-21T07:08:19Z","abstract_excerpt":"Due to the limited training samples in few-shot object detection (FSOD), we observe that current methods may struggle to accurately extract effective features from each channel. Specifically, this issue manifests in two aspects: i) channels with high weights may not necessarily be effective, and ii) channels with low weights may still hold significant value. To handle this problem, we consider utilizing the inter-channel correlation to facilitate the novel model's adaptation process to novel conditions, ensuring the model can correctly highlight effective channels and rectify those incorrect o"},"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":"2507.15308","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-07-21T07:08:19Z","cross_cats_sorted":[],"title_canon_sha256":"50ea8ec2f66064261ae0a70424d0a3af72f924a39c29ed1506adaf87ce91260b","abstract_canon_sha256":"1b70537d7f5a9a337d1e0202343f39b6d9eb68e878161efab38e71f7c817b570"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:40:22.405150Z","signature_b64":"fvXXlZNUtw56c0bFocru3wnIn7qCQJ2Tl0e5n0qE+IFzUZwtnojBs1KZ+vOouvsozq2EhR0BUD3V0pxZ2xx/Cw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"e0a0e317f1c7af1d3a05cc956a566470926b6214c0397d14da5ee9f8e3bc826e","last_reissued_at":"2026-07-05T11:40:22.404533Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:40:22.404533Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Few-Shot Object Detection via Spatial-Channel State Space Model","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Dingjie Fu, Shiming Chen, Tianxu Wu, Xinge You, Yixiong Zou, Zhimeng Xin","submitted_at":"2025-07-21T07:08:19Z","abstract_excerpt":"Due to the limited training samples in few-shot object detection (FSOD), we observe that current methods may struggle to accurately extract effective features from each channel. Specifically, this issue manifests in two aspects: i) channels with high weights may not necessarily be effective, and ii) channels with low weights may still hold significant value. To handle this problem, we consider utilizing the inter-channel correlation to facilitate the novel model's adaptation process to novel conditions, ensuring the model can correctly highlight effective channels and rectify those incorrect o"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2507.15308","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/2507.15308/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":"2507.15308","created_at":"2026-07-05T11:40:22.404615+00:00"},{"alias_kind":"arxiv_version","alias_value":"2507.15308v1","created_at":"2026-07-05T11:40:22.404615+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2507.15308","created_at":"2026-07-05T11:40:22.404615+00:00"},{"alias_kind":"pith_short_12","alias_value":"4CQOGF7RY6XR","created_at":"2026-07-05T11:40:22.404615+00:00"},{"alias_kind":"pith_short_16","alias_value":"4CQOGF7RY6XR2OQF","created_at":"2026-07-05T11:40:22.404615+00:00"},{"alias_kind":"pith_short_8","alias_value":"4CQOGF7R","created_at":"2026-07-05T11:40:22.404615+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/4CQOGF7RY6XR2OQFZSKWUVTEOC","json":"https://pith.science/pith/4CQOGF7RY6XR2OQFZSKWUVTEOC.json","graph_json":"https://pith.science/api/pith-number/4CQOGF7RY6XR2OQFZSKWUVTEOC/graph.json","events_json":"https://pith.science/api/pith-number/4CQOGF7RY6XR2OQFZSKWUVTEOC/events.json","paper":"https://pith.science/paper/4CQOGF7R"},"agent_actions":{"view_html":"https://pith.science/pith/4CQOGF7RY6XR2OQFZSKWUVTEOC","download_json":"https://pith.science/pith/4CQOGF7RY6XR2OQFZSKWUVTEOC.json","view_paper":"https://pith.science/paper/4CQOGF7R","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2507.15308&json=true","fetch_graph":"https://pith.science/api/pith-number/4CQOGF7RY6XR2OQFZSKWUVTEOC/graph.json","fetch_events":"https://pith.science/api/pith-number/4CQOGF7RY6XR2OQFZSKWUVTEOC/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/4CQOGF7RY6XR2OQFZSKWUVTEOC/action/timestamp_anchor","attest_storage":"https://pith.science/pith/4CQOGF7RY6XR2OQFZSKWUVTEOC/action/storage_attestation","attest_author":"https://pith.science/pith/4CQOGF7RY6XR2OQFZSKWUVTEOC/action/author_attestation","sign_citation":"https://pith.science/pith/4CQOGF7RY6XR2OQFZSKWUVTEOC/action/citation_signature","submit_replication":"https://pith.science/pith/4CQOGF7RY6XR2OQFZSKWUVTEOC/action/replication_record"}},"created_at":"2026-07-05T11:40:22.404615+00:00","updated_at":"2026-07-05T11:40:22.404615+00:00"}