{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2025:F57BPKOCLBP4OKZA5N7IQYYHHE","short_pith_number":"pith:F57BPKOC","schema_version":"1.0","canonical_sha256":"2f7e17a9c2585fc72b20eb7e886307392775799a9d48fae70abe8effd677c1b9","source":{"kind":"arxiv","id":"2510.13565","version":2},"attestation_state":"computed","paper":{"title":"XD-RCDepth: Lightweight Radar-Camera Depth Estimation with Explainability-Aligned and Distribution-Aware Distillation","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Georg Stettinger, Huawei Sun, Julius Ott, Lorenzo Servadei, Robert Wille, Xiangyuan Peng, Zixu Wang","submitted_at":"2025-10-15T14:05:33Z","abstract_excerpt":"Depth estimation remains central to autonomous driving, and radar-camera fusion offers robustness in adverse conditions by providing complementary geometric cues. In this paper, we present XD-RCDepth, a lightweight architecture that reduces the parameters by 29.7% relative to the state-of-the-art lightweight baseline while maintaining comparable accuracy. To preserve performance under compression and enhance interpretability, we introduce two knowledge-distillation strategies: an explainability-aligned distillation that transfers the teacher's saliency structure to the student, and a depth-dis"},"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":"2510.13565","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-10-15T14:05:33Z","cross_cats_sorted":[],"title_canon_sha256":"b92da2a82c7c1906ccdb27b4163355b39b46efec19e723cbd6150de50b1404d9","abstract_canon_sha256":"d48b40d367ccddba49421f1bdefa445f48bbaeb510c67d514f741f336afc8676"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-06-02T02:04:48.465704Z","signature_b64":"uq1W27KOfwH3d04L08jHfRdN0H01mZzJLp0NuXD5hJiNdEAO7ITo8TNl+ZjLCM/p/mUs7St0GVjyG/Dj7WnkBA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"2f7e17a9c2585fc72b20eb7e886307392775799a9d48fae70abe8effd677c1b9","last_reissued_at":"2026-06-02T02:04:48.465147Z","signature_status":"signed_v1","first_computed_at":"2026-06-02T02:04:48.465147Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"XD-RCDepth: Lightweight Radar-Camera Depth Estimation with Explainability-Aligned and Distribution-Aware Distillation","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Georg Stettinger, Huawei Sun, Julius Ott, Lorenzo Servadei, Robert Wille, Xiangyuan Peng, Zixu Wang","submitted_at":"2025-10-15T14:05:33Z","abstract_excerpt":"Depth estimation remains central to autonomous driving, and radar-camera fusion offers robustness in adverse conditions by providing complementary geometric cues. In this paper, we present XD-RCDepth, a lightweight architecture that reduces the parameters by 29.7% relative to the state-of-the-art lightweight baseline while maintaining comparable accuracy. To preserve performance under compression and enhance interpretability, we introduce two knowledge-distillation strategies: an explainability-aligned distillation that transfers the teacher's saliency structure to the student, and a depth-dis"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2510.13565","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/2510.13565/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":"2510.13565","created_at":"2026-06-02T02:04:48.465208+00:00"},{"alias_kind":"arxiv_version","alias_value":"2510.13565v2","created_at":"2026-06-02T02:04:48.465208+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2510.13565","created_at":"2026-06-02T02:04:48.465208+00:00"},{"alias_kind":"pith_short_12","alias_value":"F57BPKOCLBP4","created_at":"2026-06-02T02:04:48.465208+00:00"},{"alias_kind":"pith_short_16","alias_value":"F57BPKOCLBP4OKZA","created_at":"2026-06-02T02:04:48.465208+00:00"},{"alias_kind":"pith_short_8","alias_value":"F57BPKOC","created_at":"2026-06-02T02:04:48.465208+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/F57BPKOCLBP4OKZA5N7IQYYHHE","json":"https://pith.science/pith/F57BPKOCLBP4OKZA5N7IQYYHHE.json","graph_json":"https://pith.science/api/pith-number/F57BPKOCLBP4OKZA5N7IQYYHHE/graph.json","events_json":"https://pith.science/api/pith-number/F57BPKOCLBP4OKZA5N7IQYYHHE/events.json","paper":"https://pith.science/paper/F57BPKOC"},"agent_actions":{"view_html":"https://pith.science/pith/F57BPKOCLBP4OKZA5N7IQYYHHE","download_json":"https://pith.science/pith/F57BPKOCLBP4OKZA5N7IQYYHHE.json","view_paper":"https://pith.science/paper/F57BPKOC","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2510.13565&json=true","fetch_graph":"https://pith.science/api/pith-number/F57BPKOCLBP4OKZA5N7IQYYHHE/graph.json","fetch_events":"https://pith.science/api/pith-number/F57BPKOCLBP4OKZA5N7IQYYHHE/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/F57BPKOCLBP4OKZA5N7IQYYHHE/action/timestamp_anchor","attest_storage":"https://pith.science/pith/F57BPKOCLBP4OKZA5N7IQYYHHE/action/storage_attestation","attest_author":"https://pith.science/pith/F57BPKOCLBP4OKZA5N7IQYYHHE/action/author_attestation","sign_citation":"https://pith.science/pith/F57BPKOCLBP4OKZA5N7IQYYHHE/action/citation_signature","submit_replication":"https://pith.science/pith/F57BPKOCLBP4OKZA5N7IQYYHHE/action/replication_record"}},"created_at":"2026-06-02T02:04:48.465208+00:00","updated_at":"2026-06-02T02:04:48.465208+00:00"}