{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:UBKXDNHRWPM5PYK2SC7IBMDZPQ","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":"b12fe6468b5c53513ad4ff1fe9aa3dea26ccceeaab976a1072bf30bde8d07d48","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.RO","submitted_at":"2026-02-03T07:24:05Z","title_canon_sha256":"7391170920204a74707b481cff2a8486a930266145e9eea434098cc4eecfcb91"},"schema_version":"1.0","source":{"id":"2602.03209","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2602.03209","created_at":"2026-05-21T01:05:15Z"},{"alias_kind":"arxiv_version","alias_value":"2602.03209v2","created_at":"2026-05-21T01:05:15Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2602.03209","created_at":"2026-05-21T01:05:15Z"},{"alias_kind":"pith_short_12","alias_value":"UBKXDNHRWPM5","created_at":"2026-05-21T01:05:15Z"},{"alias_kind":"pith_short_16","alias_value":"UBKXDNHRWPM5PYK2","created_at":"2026-05-21T01:05:15Z"},{"alias_kind":"pith_short_8","alias_value":"UBKXDNHR","created_at":"2026-05-21T01:05:15Z"}],"graph_snapshots":[{"event_id":"sha256:ee41918221b4985ac5244a8a2cc2d67338a3a07c48b3c7000fc34de439d67208","target":"graph","created_at":"2026-05-21T01:05:15Z","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/2602.03209/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Autonomous field robots operating in unstructured environments require robust perception to ensure safe and reliable operations. Recent advances in monocular depth estimation have demonstrated the potential of low-cost cameras as depth sensors; however, their adoption in field robotics remains limited due to the absence of reliable scale cues, ambiguous or low-texture conditions, and the scarcity of large-scale datasets. To address these challenges, we propose a depth completion model that trains on synthetic data and uses extremely sparse measurements from depth sensors to predict dense metri","authors_text":"Eleni Kelasidi, Marco Job, Michael Pantic, Roland Siegwart, Thomas Stastny","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.RO","submitted_at":"2026-02-03T07:24:05Z","title":"Depth Completion in Unseen Field Robotics Environments Using Extremely Sparse Depth Measurements"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2602.03209","kind":"arxiv","version":2},"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:bf819dcefe4b54a76a4ac37e33ef0318dd4e641d11cc454a3b448276984948a2","target":"record","created_at":"2026-05-21T01:05:15Z","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":"b12fe6468b5c53513ad4ff1fe9aa3dea26ccceeaab976a1072bf30bde8d07d48","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.RO","submitted_at":"2026-02-03T07:24:05Z","title_canon_sha256":"7391170920204a74707b481cff2a8486a930266145e9eea434098cc4eecfcb91"},"schema_version":"1.0","source":{"id":"2602.03209","kind":"arxiv","version":2}},"canonical_sha256":"a05571b4f1b3d9d7e15a90be80b0797c1a28430179a5791903c0c1b0b287d8c3","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"a05571b4f1b3d9d7e15a90be80b0797c1a28430179a5791903c0c1b0b287d8c3","first_computed_at":"2026-05-21T01:05:15.601977Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-21T01:05:15.601977Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"RLCqecflUc4pS1osP5SpFcjTryUTiIWVVHEjpUgEeiKe0YbZwjO+Xn7mQnBFexUU1O1gnrvOE6Y//xfaZFqxBw==","signature_status":"signed_v1","signed_at":"2026-05-21T01:05:15.602887Z","signed_message":"canonical_sha256_bytes"},"source_id":"2602.03209","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:bf819dcefe4b54a76a4ac37e33ef0318dd4e641d11cc454a3b448276984948a2","sha256:ee41918221b4985ac5244a8a2cc2d67338a3a07c48b3c7000fc34de439d67208"],"state_sha256":"c9cdbf05d5cb450c53696102140e5c88a9447916c365f030ae5421400648e501"}