{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:BJ6DX62ASCTOJCIZNLZZJHADEA","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":"09e420687b5aed759e3afcf4f7ae6caf16b9b95a222596eb63bde3d54f473a1f","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.RO","submitted_at":"2026-06-16T22:05:51Z","title_canon_sha256":"7403617c5810753a8341457466cef5bbef1b9f8f07064733abde1a2e1eb52231"},"schema_version":"1.0","source":{"id":"2606.18514","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2606.18514","created_at":"2026-06-19T16:11:39Z"},{"alias_kind":"arxiv_version","alias_value":"2606.18514v1","created_at":"2026-06-19T16:11:39Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.18514","created_at":"2026-06-19T16:11:39Z"},{"alias_kind":"pith_short_12","alias_value":"BJ6DX62ASCTO","created_at":"2026-06-19T16:11:39Z"},{"alias_kind":"pith_short_16","alias_value":"BJ6DX62ASCTOJCIZ","created_at":"2026-06-19T16:11:39Z"},{"alias_kind":"pith_short_8","alias_value":"BJ6DX62A","created_at":"2026-06-19T16:11:39Z"}],"graph_snapshots":[{"event_id":"sha256:cf4a7aa07250f2d2a2836b911c89fea21bcc678b90e2f91ff575cbb2cc186a21","target":"graph","created_at":"2026-06-19T16:11:39Z","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/2606.18514/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Neural combinatorial optimization (NCO) offers a promising alternative to traditional heuristic-based methods for solving complex graph optimization problems by proposing to learn heuristics through data. This class of problems frequently arises in automation, as it can be used to model a variety of applications. While NCO has been extensively studied for deterministic combinatorial optimization problems, there are only a few works that aim to solve stochastic combinatorial optimization problems. In this work, we present N(CO)$^2$: Neural Combinatorial Optimization with Chance cOnstraints to s","authors_text":"Anas Saeed, Marcos Abel Zuzu\\'arregui, Stefano Carpin","cross_cats":["cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.RO","submitted_at":"2026-06-16T22:05:51Z","title":"N(CO)$^2$: Neural Combinatorial Optimization with Chance Constraints to Solve Stochastic Orienteering"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.18514","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:dfa4f24b043a47f9e885ce6b39b8bc88ebf342f98bb3b00a7ed9faba45e2b634","target":"record","created_at":"2026-06-19T16:11:39Z","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":"09e420687b5aed759e3afcf4f7ae6caf16b9b95a222596eb63bde3d54f473a1f","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.RO","submitted_at":"2026-06-16T22:05:51Z","title_canon_sha256":"7403617c5810753a8341457466cef5bbef1b9f8f07064733abde1a2e1eb52231"},"schema_version":"1.0","source":{"id":"2606.18514","kind":"arxiv","version":1}},"canonical_sha256":"0a7c3bfb4090a6e489196af3949c03202ee906250c0e650ca3117b9754ad832e","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"0a7c3bfb4090a6e489196af3949c03202ee906250c0e650ca3117b9754ad832e","first_computed_at":"2026-06-19T16:11:39.222741Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-06-19T16:11:39.222741Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"9cPR83/nH7SsnqZTVGt3sOB6G/4K3Q4AtxCX8lpt+QOtdXZsaSpnuw/Xbyz+WUcehdkQavpS/jhrWGmD+6jkBQ==","signature_status":"signed_v1","signed_at":"2026-06-19T16:11:39.223085Z","signed_message":"canonical_sha256_bytes"},"source_id":"2606.18514","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:dfa4f24b043a47f9e885ce6b39b8bc88ebf342f98bb3b00a7ed9faba45e2b634","sha256:cf4a7aa07250f2d2a2836b911c89fea21bcc678b90e2f91ff575cbb2cc186a21"],"state_sha256":"1a142a96b33d49446a07db13f8ef2b36ecc17406e32f828a106f26b341452824"}