{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:64C7M7PUSA6MZL2S3D2TJR4ACP","short_pith_number":"pith:64C7M7PU","canonical_record":{"source":{"id":"2409.08069","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2024-09-12T14:24:45Z","cross_cats_sorted":["cs.CL"],"title_canon_sha256":"80241ac2c1146f3767284be19e74eca2b28e766c47eb41b47f7da827fd6b914f","abstract_canon_sha256":"72e36190a9ea62f15e4cc9c1f4f8bb00abcc8cbcf8b12dd234e819ac93bc70c8"},"schema_version":"1.0"},"canonical_sha256":"f705f67df4903cccaf52d8f534c78013f0d0b5ec5dfa5c43f28abb9bc44cb17c","source":{"kind":"arxiv","id":"2409.08069","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2409.08069","created_at":"2026-07-05T09:06:19Z"},{"alias_kind":"arxiv_version","alias_value":"2409.08069v1","created_at":"2026-07-05T09:06:19Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2409.08069","created_at":"2026-07-05T09:06:19Z"},{"alias_kind":"pith_short_12","alias_value":"64C7M7PUSA6M","created_at":"2026-07-05T09:06:19Z"},{"alias_kind":"pith_short_16","alias_value":"64C7M7PUSA6MZL2S","created_at":"2026-07-05T09:06:19Z"},{"alias_kind":"pith_short_8","alias_value":"64C7M7PU","created_at":"2026-07-05T09:06:19Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:64C7M7PUSA6MZL2S3D2TJR4ACP","target":"record","payload":{"canonical_record":{"source":{"id":"2409.08069","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2024-09-12T14:24:45Z","cross_cats_sorted":["cs.CL"],"title_canon_sha256":"80241ac2c1146f3767284be19e74eca2b28e766c47eb41b47f7da827fd6b914f","abstract_canon_sha256":"72e36190a9ea62f15e4cc9c1f4f8bb00abcc8cbcf8b12dd234e819ac93bc70c8"},"schema_version":"1.0"},"canonical_sha256":"f705f67df4903cccaf52d8f534c78013f0d0b5ec5dfa5c43f28abb9bc44cb17c","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T09:06:19.674698Z","signature_b64":"37pCPKAh9ICVVg7fmNFuuvSJbJLV4o37ThHs39h3fCCQeVBTvyVer6pkqPSnKUs1B2DpuE3HR2SnQlkYle50Cw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"f705f67df4903cccaf52d8f534c78013f0d0b5ec5dfa5c43f28abb9bc44cb17c","last_reissued_at":"2026-07-05T09:06:19.674214Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T09:06:19.674214Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2409.08069","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":"2026-07-05T09:06:19Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"2X3v5ntmGdao6GgvDiQwcKHkB2Iqbwii/MPikt4O/Gi6/18XS2La1J9u//AhOYps3y7wKYSn4UxcibBYffFXAg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-26T09:19:05.866050Z"},"content_sha256":"4e2a31073f1d73f5b23f7569afd12c0667159fa74d837ee89a0b8b778d2f0723","schema_version":"1.0","event_id":"sha256:4e2a31073f1d73f5b23f7569afd12c0667159fa74d837ee89a0b8b778d2f0723"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:64C7M7PUSA6MZL2S3D2TJR4ACP","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"TravelAgent: An AI Assistant for Personalized Travel Planning","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.CL"],"primary_cat":"cs.AI","authors_text":"Aili Chen, Jiangjie Chen, Xuyang Ge, Yanghua Xiao, Ziquan Fu","submitted_at":"2024-09-12T14:24:45Z","abstract_excerpt":"As global tourism expands and artificial intelligence technology advances, intelligent travel planning services have emerged as a significant research focus. Within dynamic real-world travel scenarios with multi-dimensional constraints, services that support users in automatically creating practical and customized travel itineraries must address three key objectives: Rationality, Comprehensiveness, and Personalization. However, existing systems with rule-based combinations or LLM-based planning methods struggle to fully satisfy these criteria. To overcome the challenges, we introduce TravelAge"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2409.08069","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/2409.08069/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":"2026-07-05T09:06:19Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"/nDDzd5jZ14ek6RPKdPkAlyJ2XOTAhHoO/X986/nt5263alrBHeKy4efllsKWy8AMaGJn28fqxuYakxNVvQsBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-26T09:19:05.866449Z"},"content_sha256":"be323c72b49d8f59967027f8229252594ff8818e6684731ceb91d0ac01ed3295","schema_version":"1.0","event_id":"sha256:be323c72b49d8f59967027f8229252594ff8818e6684731ceb91d0ac01ed3295"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/64C7M7PUSA6MZL2S3D2TJR4ACP/bundle.json","state_url":"https://pith.science/pith/64C7M7PUSA6MZL2S3D2TJR4ACP/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/64C7M7PUSA6MZL2S3D2TJR4ACP/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":"2026-07-26T09:19:05Z","links":{"resolver":"https://pith.science/pith/64C7M7PUSA6MZL2S3D2TJR4ACP","bundle":"https://pith.science/pith/64C7M7PUSA6MZL2S3D2TJR4ACP/bundle.json","state":"https://pith.science/pith/64C7M7PUSA6MZL2S3D2TJR4ACP/state.json","well_known_bundle":"https://pith.science/.well-known/pith/64C7M7PUSA6MZL2S3D2TJR4ACP/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:64C7M7PUSA6MZL2S3D2TJR4ACP","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":"72e36190a9ea62f15e4cc9c1f4f8bb00abcc8cbcf8b12dd234e819ac93bc70c8","cross_cats_sorted":["cs.CL"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2024-09-12T14:24:45Z","title_canon_sha256":"80241ac2c1146f3767284be19e74eca2b28e766c47eb41b47f7da827fd6b914f"},"schema_version":"1.0","source":{"id":"2409.08069","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2409.08069","created_at":"2026-07-05T09:06:19Z"},{"alias_kind":"arxiv_version","alias_value":"2409.08069v1","created_at":"2026-07-05T09:06:19Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2409.08069","created_at":"2026-07-05T09:06:19Z"},{"alias_kind":"pith_short_12","alias_value":"64C7M7PUSA6M","created_at":"2026-07-05T09:06:19Z"},{"alias_kind":"pith_short_16","alias_value":"64C7M7PUSA6MZL2S","created_at":"2026-07-05T09:06:19Z"},{"alias_kind":"pith_short_8","alias_value":"64C7M7PU","created_at":"2026-07-05T09:06:19Z"}],"graph_snapshots":[{"event_id":"sha256:be323c72b49d8f59967027f8229252594ff8818e6684731ceb91d0ac01ed3295","target":"graph","created_at":"2026-07-05T09:06:19Z","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/2409.08069/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"As global tourism expands and artificial intelligence technology advances, intelligent travel planning services have emerged as a significant research focus. Within dynamic real-world travel scenarios with multi-dimensional constraints, services that support users in automatically creating practical and customized travel itineraries must address three key objectives: Rationality, Comprehensiveness, and Personalization. However, existing systems with rule-based combinations or LLM-based planning methods struggle to fully satisfy these criteria. To overcome the challenges, we introduce TravelAge","authors_text":"Aili Chen, Jiangjie Chen, Xuyang Ge, Yanghua Xiao, Ziquan Fu","cross_cats":["cs.CL"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2024-09-12T14:24:45Z","title":"TravelAgent: An AI Assistant for Personalized Travel Planning"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2409.08069","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":"sha256:4e2a31073f1d73f5b23f7569afd12c0667159fa74d837ee89a0b8b778d2f0723","target":"record","created_at":"2026-07-05T09:06:19Z","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":"72e36190a9ea62f15e4cc9c1f4f8bb00abcc8cbcf8b12dd234e819ac93bc70c8","cross_cats_sorted":["cs.CL"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2024-09-12T14:24:45Z","title_canon_sha256":"80241ac2c1146f3767284be19e74eca2b28e766c47eb41b47f7da827fd6b914f"},"schema_version":"1.0","source":{"id":"2409.08069","kind":"arxiv","version":1}},"canonical_sha256":"f705f67df4903cccaf52d8f534c78013f0d0b5ec5dfa5c43f28abb9bc44cb17c","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"f705f67df4903cccaf52d8f534c78013f0d0b5ec5dfa5c43f28abb9bc44cb17c","first_computed_at":"2026-07-05T09:06:19.674214Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:06:19.674214Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"37pCPKAh9ICVVg7fmNFuuvSJbJLV4o37ThHs39h3fCCQeVBTvyVer6pkqPSnKUs1B2DpuE3HR2SnQlkYle50Cw==","signature_status":"signed_v1","signed_at":"2026-07-05T09:06:19.674698Z","signed_message":"canonical_sha256_bytes"},"source_id":"2409.08069","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:4e2a31073f1d73f5b23f7569afd12c0667159fa74d837ee89a0b8b778d2f0723","sha256:be323c72b49d8f59967027f8229252594ff8818e6684731ceb91d0ac01ed3295"],"state_sha256":"324edbb4a515c709ad0142035679ce1d098c8a1d5fda06e9e198404344504e75"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"3b/sXRzNc7Nx/d2TtKZm+eTwPw44Dfqt0q9AfA9BQjJN1057glNwwckRP9czlNSPV+uqG/nhsUZYuQ7HZB//BA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-26T09:19:05.868857Z","bundle_sha256":"194d7515bb5c4f05afe6c3787390617ad084aa39177e77fb2bf98231329bbbce"}}