{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:IBEDY7ZTNM6SGFPN7X3OEYGLEG","short_pith_number":"pith:IBEDY7ZT","canonical_record":{"source":{"id":"2401.06979","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2024-01-13T05:01:14Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"69c81db559c6a3363b0decc6d6a9bd84edce66664ba8e7e4d4b0f3810ea242f9","abstract_canon_sha256":"e00690d53632b73dd60a02e2941116d8b76851bbf322464f57541fdcb304ecf1"},"schema_version":"1.0"},"canonical_sha256":"40483c7f336b3d2315edfdf6e260cb21a2a8236b448b74ede3478f8a6445cb84","source":{"kind":"arxiv","id":"2401.06979","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2401.06979","created_at":"2026-07-05T07:33:29Z"},{"alias_kind":"arxiv_version","alias_value":"2401.06979v1","created_at":"2026-07-05T07:33:29Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2401.06979","created_at":"2026-07-05T07:33:29Z"},{"alias_kind":"pith_short_12","alias_value":"IBEDY7ZTNM6S","created_at":"2026-07-05T07:33:29Z"},{"alias_kind":"pith_short_16","alias_value":"IBEDY7ZTNM6SGFPN","created_at":"2026-07-05T07:33:29Z"},{"alias_kind":"pith_short_8","alias_value":"IBEDY7ZT","created_at":"2026-07-05T07:33:29Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:IBEDY7ZTNM6SGFPN7X3OEYGLEG","target":"record","payload":{"canonical_record":{"source":{"id":"2401.06979","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2024-01-13T05:01:14Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"69c81db559c6a3363b0decc6d6a9bd84edce66664ba8e7e4d4b0f3810ea242f9","abstract_canon_sha256":"e00690d53632b73dd60a02e2941116d8b76851bbf322464f57541fdcb304ecf1"},"schema_version":"1.0"},"canonical_sha256":"40483c7f336b3d2315edfdf6e260cb21a2a8236b448b74ede3478f8a6445cb84","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T07:33:29.146951Z","signature_b64":"2kauq8USFuOLLSgfdVRxEOW6xfnLGJkhtN6qwJa37568+3u0gRAr+ToZW7Taw19ZEjqSBAmBlzkyFLlRRs8aDQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"40483c7f336b3d2315edfdf6e260cb21a2a8236b448b74ede3478f8a6445cb84","last_reissued_at":"2026-07-05T07:33:29.146444Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T07:33:29.146444Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2401.06979","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T07:33:29Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"uA8UeFZHpzM7M7T+UEnc29HQ2clnvsLIYPJoy+KGJSBNodiF/AQsrgDVnj1iP60p/agtrIWjehp2bsbHnGNlAw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-17T23:48:05.561079Z"},"content_sha256":"07adccbc863bc701d3566b77872f8cdae8091f49c52fcb0586cd28bf39039f88","schema_version":"1.0","event_id":"sha256:07adccbc863bc701d3566b77872f8cdae8091f49c52fcb0586cd28bf39039f88"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:IBEDY7ZTNM6SGFPN7X3OEYGLEG","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Distance-aware Attention Reshaping: Enhance Generalization of Neural Solver for Large-scale Vehicle Routing Problems","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.LG"],"primary_cat":"cs.AI","authors_text":"Wei-Neng Chen, Ya-Hui Jia, Yang Wang, Yi Mei","submitted_at":"2024-01-13T05:01:14Z","abstract_excerpt":"Neural solvers based on attention mechanism have demonstrated remarkable effectiveness in solving vehicle routing problems. However, in the generalization process from small scale to large scale, we find a phenomenon of the dispersion of attention scores in existing neural solvers, which leads to poor performance. To address this issue, this paper proposes a distance-aware attention reshaping method, assisting neural solvers in solving large-scale vehicle routing problems. Specifically, without the need for additional training, we utilize the Euclidean distance information between current node"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2401.06979","kind":"arxiv","version":1},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2401.06979/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T07:33:29Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"p2B8TiIY0X0S7mU2hrHe6YJlAo9VrwFb3C0d3d6IrZ7gNJuSS7vqmn2Q2OYSlNTxqXJanfKwPP1vtGd5qEcLDQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-17T23:48:05.561642Z"},"content_sha256":"77e00a2d3522c75ac44d8298f55a91d9706c7c436e7fac553d309910852f681a","schema_version":"1.0","event_id":"sha256:77e00a2d3522c75ac44d8298f55a91d9706c7c436e7fac553d309910852f681a"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/IBEDY7ZTNM6SGFPN7X3OEYGLEG/bundle.json","state_url":"https://pith.science/pith/IBEDY7ZTNM6SGFPN7X3OEYGLEG/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/IBEDY7ZTNM6SGFPN7X3OEYGLEG/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-08-17T23:48:05Z","links":{"resolver":"https://pith.science/pith/IBEDY7ZTNM6SGFPN7X3OEYGLEG","bundle":"https://pith.science/pith/IBEDY7ZTNM6SGFPN7X3OEYGLEG/bundle.json","state":"https://pith.science/pith/IBEDY7ZTNM6SGFPN7X3OEYGLEG/state.json","well_known_bundle":"https://pith.science/.well-known/pith/IBEDY7ZTNM6SGFPN7X3OEYGLEG/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:IBEDY7ZTNM6SGFPN7X3OEYGLEG","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":"e00690d53632b73dd60a02e2941116d8b76851bbf322464f57541fdcb304ecf1","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2024-01-13T05:01:14Z","title_canon_sha256":"69c81db559c6a3363b0decc6d6a9bd84edce66664ba8e7e4d4b0f3810ea242f9"},"schema_version":"1.0","source":{"id":"2401.06979","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2401.06979","created_at":"2026-07-05T07:33:29Z"},{"alias_kind":"arxiv_version","alias_value":"2401.06979v1","created_at":"2026-07-05T07:33:29Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2401.06979","created_at":"2026-07-05T07:33:29Z"},{"alias_kind":"pith_short_12","alias_value":"IBEDY7ZTNM6S","created_at":"2026-07-05T07:33:29Z"},{"alias_kind":"pith_short_16","alias_value":"IBEDY7ZTNM6SGFPN","created_at":"2026-07-05T07:33:29Z"},{"alias_kind":"pith_short_8","alias_value":"IBEDY7ZT","created_at":"2026-07-05T07:33:29Z"}],"graph_snapshots":[{"event_id":"sha256:77e00a2d3522c75ac44d8298f55a91d9706c7c436e7fac553d309910852f681a","target":"graph","created_at":"2026-07-05T07:33:29Z","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/2401.06979/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Neural solvers based on attention mechanism have demonstrated remarkable effectiveness in solving vehicle routing problems. However, in the generalization process from small scale to large scale, we find a phenomenon of the dispersion of attention scores in existing neural solvers, which leads to poor performance. To address this issue, this paper proposes a distance-aware attention reshaping method, assisting neural solvers in solving large-scale vehicle routing problems. Specifically, without the need for additional training, we utilize the Euclidean distance information between current node","authors_text":"Wei-Neng Chen, Ya-Hui Jia, Yang Wang, Yi Mei","cross_cats":["cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2024-01-13T05:01:14Z","title":"Distance-aware Attention Reshaping: Enhance Generalization of Neural Solver for Large-scale Vehicle Routing Problems"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2401.06979","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":"sha256:07adccbc863bc701d3566b77872f8cdae8091f49c52fcb0586cd28bf39039f88","target":"record","created_at":"2026-07-05T07:33:29Z","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":"e00690d53632b73dd60a02e2941116d8b76851bbf322464f57541fdcb304ecf1","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2024-01-13T05:01:14Z","title_canon_sha256":"69c81db559c6a3363b0decc6d6a9bd84edce66664ba8e7e4d4b0f3810ea242f9"},"schema_version":"1.0","source":{"id":"2401.06979","kind":"arxiv","version":1}},"canonical_sha256":"40483c7f336b3d2315edfdf6e260cb21a2a8236b448b74ede3478f8a6445cb84","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"40483c7f336b3d2315edfdf6e260cb21a2a8236b448b74ede3478f8a6445cb84","first_computed_at":"2026-07-05T07:33:29.146444Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T07:33:29.146444Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"2kauq8USFuOLLSgfdVRxEOW6xfnLGJkhtN6qwJa37568+3u0gRAr+ToZW7Taw19ZEjqSBAmBlzkyFLlRRs8aDQ==","signature_status":"signed_v1","signed_at":"2026-07-05T07:33:29.146951Z","signed_message":"canonical_sha256_bytes"},"source_id":"2401.06979","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:07adccbc863bc701d3566b77872f8cdae8091f49c52fcb0586cd28bf39039f88","sha256:77e00a2d3522c75ac44d8298f55a91d9706c7c436e7fac553d309910852f681a"],"state_sha256":"610b025e3684a121723dd18133fa9bce51a3b39521b8a004c2960babae008afe"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"4s5KYe9k19P10geWVn7B8P0VMBgYsHlaJRAfWHpbBpdHfLlRQ6RA84Ormu1q4ZG46zdWy0Wi6zDIlaGOug/mCQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-17T23:48:05.566484Z","bundle_sha256":"1ccf7709f8abea86fa1f879641d70c1a76889f9530a74918e199302806a88c87"}}