{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:LIAQWYB2WEZO6YKW5FJJMYJWCT","short_pith_number":"pith:LIAQWYB2","canonical_record":{"source":{"id":"2410.14281","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2024-10-18T08:38:12Z","cross_cats_sorted":[],"title_canon_sha256":"a65f8871dbc256f14db565ff91ab7f22fffc725a66ff62548adcb6b80e42da5a","abstract_canon_sha256":"4c05bb41c52d7bce5a6c67be94501c80426598febf52e56e76253ccc5d5e5195"},"schema_version":"1.0"},"canonical_sha256":"5a010b603ab132ef6156e95296613614fd9e9f68639a83aa4fd526bae7c1743c","source":{"kind":"arxiv","id":"2410.14281","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2410.14281","created_at":"2026-07-05T10:12:21Z"},{"alias_kind":"arxiv_version","alias_value":"2410.14281v2","created_at":"2026-07-05T10:12:21Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2410.14281","created_at":"2026-07-05T10:12:21Z"},{"alias_kind":"pith_short_12","alias_value":"LIAQWYB2WEZO","created_at":"2026-07-05T10:12:21Z"},{"alias_kind":"pith_short_16","alias_value":"LIAQWYB2WEZO6YKW","created_at":"2026-07-05T10:12:21Z"},{"alias_kind":"pith_short_8","alias_value":"LIAQWYB2","created_at":"2026-07-05T10:12:21Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:LIAQWYB2WEZO6YKW5FJJMYJWCT","target":"record","payload":{"canonical_record":{"source":{"id":"2410.14281","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2024-10-18T08:38:12Z","cross_cats_sorted":[],"title_canon_sha256":"a65f8871dbc256f14db565ff91ab7f22fffc725a66ff62548adcb6b80e42da5a","abstract_canon_sha256":"4c05bb41c52d7bce5a6c67be94501c80426598febf52e56e76253ccc5d5e5195"},"schema_version":"1.0"},"canonical_sha256":"5a010b603ab132ef6156e95296613614fd9e9f68639a83aa4fd526bae7c1743c","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T10:12:21.443072Z","signature_b64":"M8C5YC6EuON15/BlS/xB7LEgmB84nfHvyuoxOwOqLPG7oh74AgK47BjVyhnMqhgFDG2RA1fFUrAJEhV7sZnQCA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"5a010b603ab132ef6156e95296613614fd9e9f68639a83aa4fd526bae7c1743c","last_reissued_at":"2026-07-05T10:12:21.442575Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T10:12:21.442575Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2410.14281","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T10:12:21Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"oO1qrhIqWAAh8DX372Dm0yTe+SJcYfqPmnBUwMkw1jEQQtv0LbnRLC3/OSYFCnf4qhULEkdfXe1eqTAtVEcGBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-15T20:00:37.614122Z"},"content_sha256":"2a1a018b858b3bf82960fd7732a46be2b496cbcb0e5fad59413bf0fe25b15015","schema_version":"1.0","event_id":"sha256:2a1a018b858b3bf82960fd7732a46be2b496cbcb0e5fad59413bf0fe25b15015"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:LIAQWYB2WEZO6YKW5FJJMYJWCT","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"PLMTrajRec: A Scalable and Generalizable Trajectory Recovery Method with Pre-trained Language Models","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.LG","authors_text":"Gao Cong, Haitao Yuan, Huaiyu Wan, Jilin Hu, Shengnan Guo, Tonglong Wei, Yan Lin, Youfang Lin","submitted_at":"2024-10-18T08:38:12Z","abstract_excerpt":"Spatiotemporal trajectory data is crucial for various applications. However, issues such as device malfunctions and network instability often cause sparse trajectories, leading to lost detailed movement information. Recovering the missing points in sparse trajectories to restore the detailed information is thus essential. Despite recent progress, several challenges remain. First, the lack of large-scale dense trajectory data makes it difficult to train a trajectory recovery model from scratch. Second, the varying spatiotemporal correlations in sparse trajectories make it hard to generalize rec"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2410.14281","kind":"arxiv","version":2},"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/2410.14281/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":"2026-07-05T10:12:21Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"UYYqNyZfedN6f49rkhKmM/I6/u/xK6Mws06b/i/9RixFsa4Cc+BUXr+IahWVRx/2c9A06PkenCrRD/2lcVjgBw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-15T20:00:37.614651Z"},"content_sha256":"582fb7c24eccec4384718995e7be7e2807c74c47f627d290b386796b7412d57f","schema_version":"1.0","event_id":"sha256:582fb7c24eccec4384718995e7be7e2807c74c47f627d290b386796b7412d57f"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/LIAQWYB2WEZO6YKW5FJJMYJWCT/bundle.json","state_url":"https://pith.science/pith/LIAQWYB2WEZO6YKW5FJJMYJWCT/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/LIAQWYB2WEZO6YKW5FJJMYJWCT/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":"2026-08-15T20:00:37Z","links":{"resolver":"https://pith.science/pith/LIAQWYB2WEZO6YKW5FJJMYJWCT","bundle":"https://pith.science/pith/LIAQWYB2WEZO6YKW5FJJMYJWCT/bundle.json","state":"https://pith.science/pith/LIAQWYB2WEZO6YKW5FJJMYJWCT/state.json","well_known_bundle":"https://pith.science/.well-known/pith/LIAQWYB2WEZO6YKW5FJJMYJWCT/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:LIAQWYB2WEZO6YKW5FJJMYJWCT","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":"4c05bb41c52d7bce5a6c67be94501c80426598febf52e56e76253ccc5d5e5195","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2024-10-18T08:38:12Z","title_canon_sha256":"a65f8871dbc256f14db565ff91ab7f22fffc725a66ff62548adcb6b80e42da5a"},"schema_version":"1.0","source":{"id":"2410.14281","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2410.14281","created_at":"2026-07-05T10:12:21Z"},{"alias_kind":"arxiv_version","alias_value":"2410.14281v2","created_at":"2026-07-05T10:12:21Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2410.14281","created_at":"2026-07-05T10:12:21Z"},{"alias_kind":"pith_short_12","alias_value":"LIAQWYB2WEZO","created_at":"2026-07-05T10:12:21Z"},{"alias_kind":"pith_short_16","alias_value":"LIAQWYB2WEZO6YKW","created_at":"2026-07-05T10:12:21Z"},{"alias_kind":"pith_short_8","alias_value":"LIAQWYB2","created_at":"2026-07-05T10:12:21Z"}],"graph_snapshots":[{"event_id":"sha256:582fb7c24eccec4384718995e7be7e2807c74c47f627d290b386796b7412d57f","target":"graph","created_at":"2026-07-05T10:12:21Z","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/2410.14281/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Spatiotemporal trajectory data is crucial for various applications. However, issues such as device malfunctions and network instability often cause sparse trajectories, leading to lost detailed movement information. Recovering the missing points in sparse trajectories to restore the detailed information is thus essential. Despite recent progress, several challenges remain. First, the lack of large-scale dense trajectory data makes it difficult to train a trajectory recovery model from scratch. Second, the varying spatiotemporal correlations in sparse trajectories make it hard to generalize rec","authors_text":"Gao Cong, Haitao Yuan, Huaiyu Wan, Jilin Hu, Shengnan Guo, Tonglong Wei, Yan Lin, Youfang Lin","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2024-10-18T08:38:12Z","title":"PLMTrajRec: A Scalable and Generalizable Trajectory Recovery Method with Pre-trained Language Models"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2410.14281","kind":"arxiv","version":2},"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":"sha256:2a1a018b858b3bf82960fd7732a46be2b496cbcb0e5fad59413bf0fe25b15015","target":"record","created_at":"2026-07-05T10:12:21Z","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":"4c05bb41c52d7bce5a6c67be94501c80426598febf52e56e76253ccc5d5e5195","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2024-10-18T08:38:12Z","title_canon_sha256":"a65f8871dbc256f14db565ff91ab7f22fffc725a66ff62548adcb6b80e42da5a"},"schema_version":"1.0","source":{"id":"2410.14281","kind":"arxiv","version":2}},"canonical_sha256":"5a010b603ab132ef6156e95296613614fd9e9f68639a83aa4fd526bae7c1743c","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"5a010b603ab132ef6156e95296613614fd9e9f68639a83aa4fd526bae7c1743c","first_computed_at":"2026-07-05T10:12:21.442575Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:12:21.442575Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"M8C5YC6EuON15/BlS/xB7LEgmB84nfHvyuoxOwOqLPG7oh74AgK47BjVyhnMqhgFDG2RA1fFUrAJEhV7sZnQCA==","signature_status":"signed_v1","signed_at":"2026-07-05T10:12:21.443072Z","signed_message":"canonical_sha256_bytes"},"source_id":"2410.14281","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:2a1a018b858b3bf82960fd7732a46be2b496cbcb0e5fad59413bf0fe25b15015","sha256:582fb7c24eccec4384718995e7be7e2807c74c47f627d290b386796b7412d57f"],"state_sha256":"ba8ee0810a9bf4df23f576ac29a616ddfaad35465ed29e91d6ade741562fc4b5"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ncHLbtZb3oXJx2kR9biPO1CaBMWkNtQmwXNxJp/s4WvPpJj5+mgVUjKzPAAZK7NGSC6H90hCJzxeC15vhx1sCA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-15T20:00:37.618106Z","bundle_sha256":"853c8624d1f5dd0e1199dd52f08250739b77decd128efacaa2d7cee24d557320"}}