{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:7AL7OJZJNZBRATOWNNR7XNACKY","merge_version":"pith-open-graph-merge-v1","event_count":2,"valid_event_count":2,"invalid_event_count":0,"equivocation_count":0,"current":{"canonical_record":{"metadata":{"abstract_canon_sha256":"4efbf477a0ef32be6d05764e3801cd3fdbb308156bbc4e55f16449d988acd8d7","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2025-09-01T09:06:53Z","title_canon_sha256":"78a5f4ede091da30128c50be0efe29f1ee715faab6b71c4841321ff79e26a80f"},"schema_version":"1.0","source":{"id":"2509.01280","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2509.01280","created_at":"2026-07-05T12:02:57Z"},{"alias_kind":"arxiv_version","alias_value":"2509.01280v1","created_at":"2026-07-05T12:02:57Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2509.01280","created_at":"2026-07-05T12:02:57Z"},{"alias_kind":"pith_short_12","alias_value":"7AL7OJZJNZBR","created_at":"2026-07-05T12:02:57Z"},{"alias_kind":"pith_short_16","alias_value":"7AL7OJZJNZBRATOW","created_at":"2026-07-05T12:02:57Z"},{"alias_kind":"pith_short_8","alias_value":"7AL7OJZJ","created_at":"2026-07-05T12:02:57Z"}],"graph_snapshots":[{"event_id":"sha256:bc864c747ddcff7e66a356389af8ecb17b69dc850c7b4fe7bf9d47603a466fc1","target":"graph","created_at":"2026-07-05T12:02:57Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"graph_snapshot":{"author_claims":{"count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","strong_count":0},"builder_version":"pith-number-builder-2026-05-17-v1","claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"integrity":{"available":true,"clean":true,"detectors_run":[],"endpoint":"/pith/2509.01280/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Detecting objects efficiently from radar sensors has recently become a popular trend due to their robustness against adverse lighting and weather conditions compared with cameras. This paper presents an efficient object detection model for Range-Doppler (RD) radar maps. Specifically, we first represent RD radar maps with multi-representation, i.e., heatmaps and grayscale images, to gather high-level object and fine-grained texture features. Then, we design an additional Adapter branch, an Exchanger Module with two modes, and a Primary-Auxiliary Fusion Module to effectively extract, exchange, a","authors_text":"Weicheng Zheng, Yongtao Wang, Zhiwei Lin","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2025-09-01T09:06:53Z","title":"Multi-Representation Adapter with Neural Architecture Search for Efficient Range-Doppler Radar Object Detection"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2509.01280","kind":"arxiv","version":1},"verdict":{"created_at":null,"id":null,"model_set":{},"one_line_summary":"","pipeline_version":null,"pith_extraction_headline":"","strongest_claim":"","weakest_assumption":""}},"verdict_id":null}}],"author_attestations":[],"timestamp_anchors":[],"storage_attestations":[],"citation_signatures":[],"replication_records":[],"corrections":[],"mirror_hints":[],"record_created":{"event_id":"sha256:85d2c3b6b0bca959107b450248d5c66acce6fd52392ed68d368a5bbfaaec5446","target":"record","created_at":"2026-07-05T12:02:57Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"attestation_state":"computed","canonical_record":{"metadata":{"abstract_canon_sha256":"4efbf477a0ef32be6d05764e3801cd3fdbb308156bbc4e55f16449d988acd8d7","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2025-09-01T09:06:53Z","title_canon_sha256":"78a5f4ede091da30128c50be0efe29f1ee715faab6b71c4841321ff79e26a80f"},"schema_version":"1.0","source":{"id":"2509.01280","kind":"arxiv","version":1}},"canonical_sha256":"f817f727296e43104dd66b63fbb402562fde3205dbb95e35910e05c5b09c2b13","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"f817f727296e43104dd66b63fbb402562fde3205dbb95e35910e05c5b09c2b13","first_computed_at":"2026-07-05T12:02:57.502292Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T12:02:57.502292Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"FtRoheusyQmzzvQzuHxbtzAZkpYXokmKCPmpIXIEO0tfIyVEJqKV2/gOLAbDYWiimE4CtFwG46gTHt5MfL4cDA==","signature_status":"signed_v1","signed_at":"2026-07-05T12:02:57.502945Z","signed_message":"canonical_sha256_bytes"},"source_id":"2509.01280","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:85d2c3b6b0bca959107b450248d5c66acce6fd52392ed68d368a5bbfaaec5446","sha256:bc864c747ddcff7e66a356389af8ecb17b69dc850c7b4fe7bf9d47603a466fc1"],"state_sha256":"a95f62635c6c6f7fe1900a96a06908ed154e5b6a95bb03014fa2f5216fd4251f"}