{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:SO2UFYKCB5JZ26FORFBEWBQKXC","merge_version":"pith-open-graph-merge-v1","event_count":4,"valid_event_count":4,"invalid_event_count":0,"equivocation_count":1,"current":{"canonical_record":{"metadata":{"abstract_canon_sha256":"fb8c904cfe80e5ac8ca137344f62d6216e21fdd151f378ab37127bbade4e9851","cross_cats_sorted":["cs.AI","cs.RO"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2026-07-05T07:14:11Z","title_canon_sha256":"6a284a1b6b5c896d822860bbd646f72cc8b7fce85c44951c904eeed59946ad73"},"schema_version":"1.0","source":{"id":"2607.05449","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2607.05449","created_at":"2026-07-08T01:18:10Z"},{"alias_kind":"arxiv_version","alias_value":"2607.05449v1","created_at":"2026-07-08T01:18:10Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2607.05449","created_at":"2026-07-08T01:18:10Z"},{"alias_kind":"pith_short_12","alias_value":"SO2UFYKCB5JZ","created_at":"2026-07-08T01:18:10Z"},{"alias_kind":"pith_short_16","alias_value":"SO2UFYKCB5JZ26FO","created_at":"2026-07-08T01:18:10Z"},{"alias_kind":"pith_short_8","alias_value":"SO2UFYKC","created_at":"2026-07-08T01:18:10Z"}],"graph_snapshots":[{"event_id":"sha256:306ad9b149b43c3d3b4014d371fce75cc2c673e18c303a43b20420bd82cc1370","target":"graph","created_at":"2026-07-08T01:18:10Z","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/2607.05449/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Accurate work-zone geometry perception is critical for intelligent transportation systems, and ultra-wideband sensing offers a low-cost approach for infrastructure-aided reconstruction. However, outdoor UWB ranging is often degraded by non-line-of-sight propagation, burst noise, and long-tail errors, which can distort downstream spatial reconstruction. We present GAIA, a geometry-aware, infrastructure-anchored learning framework that couples temporal range modeling with latent anchor-layout estimation and deterministic distance projection. GAIA preserves range denoising as the supervised task ","authors_text":"Bin Ran, Jiaxi Liu, Junwei You, Meng Ran, Pei Li, Sikai Chen, Steven T.Parker, Weizhe Tang","cross_cats":["cs.AI","cs.RO"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2026-07-05T07:14:11Z","title":"Geometry-Aware Infrastructure-Anchored Denoiser for UWB Sensing and Work-Zone Reconstruction"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2607.05449","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":"sha256:612df79c455d482ecd4ce9934d78a03b17530567c314294477701aab3cbd188d","target":"record","created_at":"2026-07-08T01:18:10Z","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":"fb8c904cfe80e5ac8ca137344f62d6216e21fdd151f378ab37127bbade4e9851","cross_cats_sorted":["cs.AI","cs.RO"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2026-07-05T07:14:11Z","title_canon_sha256":"6a284a1b6b5c896d822860bbd646f72cc8b7fce85c44951c904eeed59946ad73"},"schema_version":"1.0","source":{"id":"2607.05449","kind":"arxiv","version":1}},"canonical_sha256":"93b542e1420f539d78ae89424b060ab88ba9b77dd7afb1c80526de3f402f2aa6","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"93b542e1420f539d78ae89424b060ab88ba9b77dd7afb1c80526de3f402f2aa6","first_computed_at":"2026-07-08T01:18:10.342058Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-08T01:18:10.342058Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"0Uy+SwglRnvBequFqQWJodtJ86tRhZIMdDXz/voURWvKmNsX6FJagVWiZDZLxeO27LF387GCO6RBCcf5et3uCA==","signature_status":"signed_v1","signed_at":"2026-07-08T01:18:10.342477Z","signed_message":"canonical_sha256_bytes"},"source_id":"2607.05449","source_kind":"arxiv","source_version":1}}},"equivocations":[{"signer_id":"pith.science","event_type":"integrity_finding","target":"integrity","event_ids":["sha256:33a070bfb6ecf19824429abeb9cc400132874618bb1cd6fbbf2b7721419999a2","sha256:ab6a38ec3eeb5a799ba8a9f65e57d62b0c835e791c37b82c5488005d21257205"]}],"invalid_events":[],"applied_event_ids":["sha256:612df79c455d482ecd4ce9934d78a03b17530567c314294477701aab3cbd188d","sha256:306ad9b149b43c3d3b4014d371fce75cc2c673e18c303a43b20420bd82cc1370"],"state_sha256":"02edfd088b654e39a650934bc46a0d6446f03a5dffc935c5330df899cec27474"}