{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:JGOOKNN52TGL35TXYKJG7VCY56","short_pith_number":"pith:JGOOKNN5","canonical_record":{"source":{"id":"2504.09680","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2025-04-13T18:14:38Z","cross_cats_sorted":["cs.AI","math.OC"],"title_canon_sha256":"dbc7cc10a97853d70137900f79f2c5bec48bfe514e9883337a988bb7d9846bb6","abstract_canon_sha256":"4f01d8f69d48b9ef2defed589c036812d5a15b3a69bb4f87715c0c4f59f8e595"},"schema_version":"1.0"},"canonical_sha256":"499ce535bdd4ccbdf677c2926fd458efb36807c34dece059799fe4e5ef96f960","source":{"kind":"arxiv","id":"2504.09680","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2504.09680","created_at":"2026-07-05T10:48:41Z"},{"alias_kind":"arxiv_version","alias_value":"2504.09680v1","created_at":"2026-07-05T10:48:41Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2504.09680","created_at":"2026-07-05T10:48:41Z"},{"alias_kind":"pith_short_12","alias_value":"JGOOKNN52TGL","created_at":"2026-07-05T10:48:41Z"},{"alias_kind":"pith_short_16","alias_value":"JGOOKNN52TGL35TX","created_at":"2026-07-05T10:48:41Z"},{"alias_kind":"pith_short_8","alias_value":"JGOOKNN5","created_at":"2026-07-05T10:48:41Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:JGOOKNN52TGL35TXYKJG7VCY56","target":"record","payload":{"canonical_record":{"source":{"id":"2504.09680","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2025-04-13T18:14:38Z","cross_cats_sorted":["cs.AI","math.OC"],"title_canon_sha256":"dbc7cc10a97853d70137900f79f2c5bec48bfe514e9883337a988bb7d9846bb6","abstract_canon_sha256":"4f01d8f69d48b9ef2defed589c036812d5a15b3a69bb4f87715c0c4f59f8e595"},"schema_version":"1.0"},"canonical_sha256":"499ce535bdd4ccbdf677c2926fd458efb36807c34dece059799fe4e5ef96f960","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T10:48:41.187023Z","signature_b64":"t/Uo+N31X7t/kl5cOpFAD3EuDh3bOaJyc7gAi9X+yddn1k/ucpD1H9AMIUkBhmBbRBVhxaxsyfAimBOtznm2Ag==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"499ce535bdd4ccbdf677c2926fd458efb36807c34dece059799fe4e5ef96f960","last_reissued_at":"2026-07-05T10:48:41.186570Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T10:48:41.186570Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2504.09680","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":"2026-07-05T10:48:41Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"oofLrIBhd6+UrJdRvtWWDnKMzIEbV/DaLKl6YFj5IDmaFimEGaupFn0fbmsUNODFvLLwwAHW8yWiGPzUQh/RBw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-10T23:17:44.542075Z"},"content_sha256":"ebe047d8da742f499f7c650d003746370fb927db8c38c49041944ea45a12dbcd","schema_version":"1.0","event_id":"sha256:ebe047d8da742f499f7c650d003746370fb927db8c38c49041944ea45a12dbcd"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:JGOOKNN52TGL35TXYKJG7VCY56","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"SPOT: Spatio-Temporal Pattern Mining and Optimization for Load Consolidation in Freight Transportation Networks","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI","math.OC"],"primary_cat":"cs.LG","authors_text":"Alan Erera, Amira Hijazi, Jeren Konak, Pascal Van Hentenryck, Sikai Cheng","submitted_at":"2025-04-13T18:14:38Z","abstract_excerpt":"Freight consolidation has significant potential to reduce transportation costs and mitigate congestion and pollution. An effective load consolidation plan relies on carefully chosen consolidation points to ensure alignment with existing transportation management processes, such as driver scheduling, personnel planning, and terminal operations. This complexity represents a significant challenge when searching for optimal consolidation strategies. Traditional optimization-based methods provide exact solutions, but their computational complexity makes them impractical for large-scale instances an"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2504.09680","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/2504.09680/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":"2026-07-05T10:48:41Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Wdm3esNm3567Yi4fwv6ER2P0kNxMcRU18nRtGA7YGuMxBVAcdTx+4XKHo/JBe62fib+3mnJa8t0CIG0YpSTeCw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-10T23:17:44.542598Z"},"content_sha256":"42066c1833a7bdaf881b6eb45aed3c8d6f8b979dc530680910aa4d5b205c1dd9","schema_version":"1.0","event_id":"sha256:42066c1833a7bdaf881b6eb45aed3c8d6f8b979dc530680910aa4d5b205c1dd9"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/JGOOKNN52TGL35TXYKJG7VCY56/bundle.json","state_url":"https://pith.science/pith/JGOOKNN52TGL35TXYKJG7VCY56/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/JGOOKNN52TGL35TXYKJG7VCY56/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":"2026-08-10T23:17:44Z","links":{"resolver":"https://pith.science/pith/JGOOKNN52TGL35TXYKJG7VCY56","bundle":"https://pith.science/pith/JGOOKNN52TGL35TXYKJG7VCY56/bundle.json","state":"https://pith.science/pith/JGOOKNN52TGL35TXYKJG7VCY56/state.json","well_known_bundle":"https://pith.science/.well-known/pith/JGOOKNN52TGL35TXYKJG7VCY56/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:JGOOKNN52TGL35TXYKJG7VCY56","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":"4f01d8f69d48b9ef2defed589c036812d5a15b3a69bb4f87715c0c4f59f8e595","cross_cats_sorted":["cs.AI","math.OC"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2025-04-13T18:14:38Z","title_canon_sha256":"dbc7cc10a97853d70137900f79f2c5bec48bfe514e9883337a988bb7d9846bb6"},"schema_version":"1.0","source":{"id":"2504.09680","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2504.09680","created_at":"2026-07-05T10:48:41Z"},{"alias_kind":"arxiv_version","alias_value":"2504.09680v1","created_at":"2026-07-05T10:48:41Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2504.09680","created_at":"2026-07-05T10:48:41Z"},{"alias_kind":"pith_short_12","alias_value":"JGOOKNN52TGL","created_at":"2026-07-05T10:48:41Z"},{"alias_kind":"pith_short_16","alias_value":"JGOOKNN52TGL35TX","created_at":"2026-07-05T10:48:41Z"},{"alias_kind":"pith_short_8","alias_value":"JGOOKNN5","created_at":"2026-07-05T10:48:41Z"}],"graph_snapshots":[{"event_id":"sha256:42066c1833a7bdaf881b6eb45aed3c8d6f8b979dc530680910aa4d5b205c1dd9","target":"graph","created_at":"2026-07-05T10:48:41Z","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/2504.09680/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Freight consolidation has significant potential to reduce transportation costs and mitigate congestion and pollution. An effective load consolidation plan relies on carefully chosen consolidation points to ensure alignment with existing transportation management processes, such as driver scheduling, personnel planning, and terminal operations. This complexity represents a significant challenge when searching for optimal consolidation strategies. Traditional optimization-based methods provide exact solutions, but their computational complexity makes them impractical for large-scale instances an","authors_text":"Alan Erera, Amira Hijazi, Jeren Konak, Pascal Van Hentenryck, Sikai Cheng","cross_cats":["cs.AI","math.OC"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2025-04-13T18:14:38Z","title":"SPOT: Spatio-Temporal Pattern Mining and Optimization for Load Consolidation in Freight Transportation Networks"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2504.09680","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:ebe047d8da742f499f7c650d003746370fb927db8c38c49041944ea45a12dbcd","target":"record","created_at":"2026-07-05T10:48:41Z","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":"4f01d8f69d48b9ef2defed589c036812d5a15b3a69bb4f87715c0c4f59f8e595","cross_cats_sorted":["cs.AI","math.OC"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2025-04-13T18:14:38Z","title_canon_sha256":"dbc7cc10a97853d70137900f79f2c5bec48bfe514e9883337a988bb7d9846bb6"},"schema_version":"1.0","source":{"id":"2504.09680","kind":"arxiv","version":1}},"canonical_sha256":"499ce535bdd4ccbdf677c2926fd458efb36807c34dece059799fe4e5ef96f960","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"499ce535bdd4ccbdf677c2926fd458efb36807c34dece059799fe4e5ef96f960","first_computed_at":"2026-07-05T10:48:41.186570Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:48:41.186570Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"t/Uo+N31X7t/kl5cOpFAD3EuDh3bOaJyc7gAi9X+yddn1k/ucpD1H9AMIUkBhmBbRBVhxaxsyfAimBOtznm2Ag==","signature_status":"signed_v1","signed_at":"2026-07-05T10:48:41.187023Z","signed_message":"canonical_sha256_bytes"},"source_id":"2504.09680","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:ebe047d8da742f499f7c650d003746370fb927db8c38c49041944ea45a12dbcd","sha256:42066c1833a7bdaf881b6eb45aed3c8d6f8b979dc530680910aa4d5b205c1dd9"],"state_sha256":"064b342de4ff846b670d5b5c18f59cccb97bbc166834888d701d0fe556df513a"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"PeJJBfFFxGkZad+wCaq/n7LSMYyMM73jU0YwmtlJdb+ERmIY9op/CKYPBsVvPoB31j/oI29FCVNxi3EEvePgCg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-10T23:17:44.548731Z","bundle_sha256":"1296c76419edecffd80cd4cc5ec45cba2fe180af423b7e00325ea18d21ba89a5"}}