{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:YWAHWHN5UACBCHT4DEMBS4JWZ6","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":"ed23e7e0168e49144856654c7aa77c32d0b2a0bf39024669d1bf4a6429bcf756","cross_cats_sorted":["cs.LG","math.CO","math.OC"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"math.DS","submitted_at":"2026-07-04T23:46:08Z","title_canon_sha256":"5c9411de7b8fdbb7e40d11b3d846a7bc7276ad58a62ba75d9c804c51d3c58ef0"},"schema_version":"1.0","source":{"id":"2607.04056","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2607.04056","created_at":"2026-07-07T02:18:55Z"},{"alias_kind":"arxiv_version","alias_value":"2607.04056v1","created_at":"2026-07-07T02:18:55Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2607.04056","created_at":"2026-07-07T02:18:55Z"},{"alias_kind":"pith_short_12","alias_value":"YWAHWHN5UACB","created_at":"2026-07-07T02:18:55Z"},{"alias_kind":"pith_short_16","alias_value":"YWAHWHN5UACBCHT4","created_at":"2026-07-07T02:18:55Z"},{"alias_kind":"pith_short_8","alias_value":"YWAHWHN5","created_at":"2026-07-07T02:18:55Z"}],"graph_snapshots":[{"event_id":"sha256:35806a6af3568aab9eb2aaa914f98f405a69be7285547298072ad9ce1e73e90d","target":"graph","created_at":"2026-07-07T02:18:55Z","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/2607.04056/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Modern supply chains span diverse operational environments, ranging from e-commerce distribution networks to customized production-to-order manufacturing lines. Across these settings, operational efficiency depends on coordinating two highly interdependent stages: order preparation and downstream delivery. Although these stages are traditionally managed in isolation, real-world fulfillment systems must satisfy stringent delivery expectations under dynamic stochastic order arrivals. To bridge this gap, we introduce the Dynamic Order Fulfillment Problem (DOFP), a new problem class unifying logis","authors_text":"Gal Neria, Marlin W. Ulmer, Michal Tzur","cross_cats":["cs.LG","math.CO","math.OC"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"math.DS","submitted_at":"2026-07-04T23:46:08Z","title":"A Policy Decomposition Framework for Dynamic Order Fulfillment Operations"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2607.04056","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":"sha256:535594fba600317ffe4117d7b53b1e8e109082f3637b93c00cbb8843197466ff","target":"record","created_at":"2026-07-07T02:18:55Z","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":"ed23e7e0168e49144856654c7aa77c32d0b2a0bf39024669d1bf4a6429bcf756","cross_cats_sorted":["cs.LG","math.CO","math.OC"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"math.DS","submitted_at":"2026-07-04T23:46:08Z","title_canon_sha256":"5c9411de7b8fdbb7e40d11b3d846a7bc7276ad58a62ba75d9c804c51d3c58ef0"},"schema_version":"1.0","source":{"id":"2607.04056","kind":"arxiv","version":1}},"canonical_sha256":"c5807b1dbda004111e7c1918197136cfba8e698bb38a40f250f9459a235fcbc9","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"c5807b1dbda004111e7c1918197136cfba8e698bb38a40f250f9459a235fcbc9","first_computed_at":"2026-07-07T02:18:55.216201Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-07T02:18:55.216201Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"1chB/7oHVqKjmzjDkKyqzhIWkcEyMtivrEpYfMr2T04wOgxh18d8j7W/yh9gvafl/WMM4oswV+KjsUq7hU5wBA==","signature_status":"signed_v1","signed_at":"2026-07-07T02:18:55.216766Z","signed_message":"canonical_sha256_bytes"},"source_id":"2607.04056","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:535594fba600317ffe4117d7b53b1e8e109082f3637b93c00cbb8843197466ff","sha256:35806a6af3568aab9eb2aaa914f98f405a69be7285547298072ad9ce1e73e90d"],"state_sha256":"8eef787d15f29c96e8e94353d4242176484cf629ae7d3e914630ed3506dab6d8"}