{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:P53XZV7Z2ECUPD6LI5CXS4QRIE","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":"d6a9e0a2442c283fb922ac1d05858d0c4a62cd514b78a0110991fdfc9ddb2f59","cross_cats_sorted":["cs.DS"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CG","submitted_at":"2025-04-24T21:58:38Z","title_canon_sha256":"4f5da03e8c46acb3da96af22e1fdcb8d6790636795e1e990f00e032492c12b8e"},"schema_version":"1.0","source":{"id":"2504.17955","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2504.17955","created_at":"2026-07-05T11:56:19Z"},{"alias_kind":"arxiv_version","alias_value":"2504.17955v2","created_at":"2026-07-05T11:56:19Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2504.17955","created_at":"2026-07-05T11:56:19Z"},{"alias_kind":"pith_short_12","alias_value":"P53XZV7Z2ECU","created_at":"2026-07-05T11:56:19Z"},{"alias_kind":"pith_short_16","alias_value":"P53XZV7Z2ECUPD6L","created_at":"2026-07-05T11:56:19Z"},{"alias_kind":"pith_short_8","alias_value":"P53XZV7Z","created_at":"2026-07-05T11:56:19Z"}],"graph_snapshots":[{"event_id":"sha256:cc36c853da987f7262a5ff4c98d9d3de5d2530a2e60b4cc3716d5a077053c480","target":"graph","created_at":"2026-07-05T11:56:19Z","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/2504.17955/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"We introduce and study the Marco Polo problem, which is a combinatorial approach to geometric localization. In this problem, we are told there are one or more points of interest (POIs) within distance $n$ of the origin that we wish to localize. Given a mobile search point, $\\Delta$, that is initially at the origin, a localization algorithm is a strategy to move $\\Delta$ to be within a distance of $1$ of a POI. In the combinatorial localization problem we study, the only tool we can use is reminiscent of the children's game, \"Marco Polo,\" in that $\\Delta$ can issue a probe signal out a specifie","authors_text":"(2) University of Rochester), Daniel S. Hirschberg (1), Irvine, Michael T. Goodrich (1), Ofek Gila (1), Shayan Taherijam (1) ((1) University of California, Zahra Hadizadeh (2)","cross_cats":["cs.DS"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CG","submitted_at":"2025-04-24T21:58:38Z","title":"The Marco Polo Problem: A Combinatorial Approach to Geometric Localization"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2504.17955","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":"sha256:1b1c875f52059f3f1fbd8b0acec1966af35ade61e2f117f97e0376b1cfcab60a","target":"record","created_at":"2026-07-05T11:56:19Z","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":"d6a9e0a2442c283fb922ac1d05858d0c4a62cd514b78a0110991fdfc9ddb2f59","cross_cats_sorted":["cs.DS"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CG","submitted_at":"2025-04-24T21:58:38Z","title_canon_sha256":"4f5da03e8c46acb3da96af22e1fdcb8d6790636795e1e990f00e032492c12b8e"},"schema_version":"1.0","source":{"id":"2504.17955","kind":"arxiv","version":2}},"canonical_sha256":"7f777cd7f9d105478fcb4745797211410826569c54afc87dab66d3593b73a8b1","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"7f777cd7f9d105478fcb4745797211410826569c54afc87dab66d3593b73a8b1","first_computed_at":"2026-07-05T11:56:19.186090Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:56:19.186090Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"1iHM/zIrkUa/iLSFwd0HezgrAx8ZBGmBdqi2xa2oGJZKbmLn+0Z5uIcR1pb2IY8SHxcp9gh4XzyPrvDkbCS3AA==","signature_status":"signed_v1","signed_at":"2026-07-05T11:56:19.186564Z","signed_message":"canonical_sha256_bytes"},"source_id":"2504.17955","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:1b1c875f52059f3f1fbd8b0acec1966af35ade61e2f117f97e0376b1cfcab60a","sha256:cc36c853da987f7262a5ff4c98d9d3de5d2530a2e60b4cc3716d5a077053c480"],"state_sha256":"c3930bd587f3829ffbce05c8be201380f300517a81cb951bda0663c0ba842e5a"}