{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:XVEBUZ3WBLVNFMOVNVPNAVIGXB","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":"3f18058c5742824f96057d27f90a3f22b50d49f1f8012b93b82909baab7f4688","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2022-04-25T02:27:59Z","title_canon_sha256":"126c20c80dda753b0e85d24948b89d220fe4bdb5b8df4f6ac2ff4c0e3b27f0b7"},"schema_version":"1.0","source":{"id":"2204.11399","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2204.11399","created_at":"2026-07-05T05:04:12Z"},{"alias_kind":"arxiv_version","alias_value":"2204.11399v3","created_at":"2026-07-05T05:04:12Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2204.11399","created_at":"2026-07-05T05:04:12Z"},{"alias_kind":"pith_short_12","alias_value":"XVEBUZ3WBLVN","created_at":"2026-07-05T05:04:12Z"},{"alias_kind":"pith_short_16","alias_value":"XVEBUZ3WBLVNFMOV","created_at":"2026-07-05T05:04:12Z"},{"alias_kind":"pith_short_8","alias_value":"XVEBUZ3W","created_at":"2026-07-05T05:04:12Z"}],"graph_snapshots":[{"event_id":"sha256:220ea7cec9b49476500db68ed7f7a6893fea55c321c9a95b47f8193cecfb798e","target":"graph","created_at":"2026-07-05T05:04:12Z","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/2204.11399/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"We present an efficient Neural Neighborhood Search (N2S) approach for pickup and delivery problems (PDPs). In specific, we design a powerful Synthesis Attention that allows the vanilla self-attention to synthesize various types of features regarding a route solution. We also exploit two customized decoders that automatically learn to perform removal and reinsertion of a pickup-delivery node pair to tackle the precedence constraint. Additionally, a diversity enhancement scheme is leveraged to further ameliorate the performance. Our N2S is generic, and extensive experiments on two canonical PDP ","authors_text":"Hongliang Guo, Jingwen Li, Wen Song, Yeow Meng Chee, Yining Ma, Yuejiao Gong, Zhiguang Cao","cross_cats":["cs.AI"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2022-04-25T02:27:59Z","title":"Efficient Neural Neighborhood Search for Pickup and Delivery Problems"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2204.11399","kind":"arxiv","version":3},"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":"sha256:839672752d2bba9ed862cdc906797bc9b08b8b6d19838c30711608f76c7cf54b","target":"record","created_at":"2026-07-05T05:04:12Z","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":"3f18058c5742824f96057d27f90a3f22b50d49f1f8012b93b82909baab7f4688","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2022-04-25T02:27:59Z","title_canon_sha256":"126c20c80dda753b0e85d24948b89d220fe4bdb5b8df4f6ac2ff4c0e3b27f0b7"},"schema_version":"1.0","source":{"id":"2204.11399","kind":"arxiv","version":3}},"canonical_sha256":"bd481a67760aead2b1d56d5ed05506b8543a90af42bb4027c8c094c41626674c","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"bd481a67760aead2b1d56d5ed05506b8543a90af42bb4027c8c094c41626674c","first_computed_at":"2026-07-05T05:04:12.825265Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T05:04:12.825265Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"xazaIVPjiGXMvq5LmlMo5YHPnb5qLW8ebxIJaOPGsmpLudUGfRUDZQpgyme56DgaGrcrcaXdyIlwlnichiCeBg==","signature_status":"signed_v1","signed_at":"2026-07-05T05:04:12.825715Z","signed_message":"canonical_sha256_bytes"},"source_id":"2204.11399","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:839672752d2bba9ed862cdc906797bc9b08b8b6d19838c30711608f76c7cf54b","sha256:220ea7cec9b49476500db68ed7f7a6893fea55c321c9a95b47f8193cecfb798e"],"state_sha256":"0dbae2c51a6c9593b7f7edf713b1b068388cb91e3ec856aa1288ddf8c63e0f31"}