{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2020:NP3WEUTFIMOVSYEMCIUYSBCAIT","short_pith_number":"pith:NP3WEUTF","canonical_record":{"source":{"id":"2005.10917","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.DS","submitted_at":"2020-05-21T21:42:30Z","cross_cats_sorted":["cs.DB","cs.LG"],"title_canon_sha256":"2f313a99482b591c0233d5b28ff0ac4a6cbdedfe638d91db5f9195e396ddf2c6","abstract_canon_sha256":"042ceec66d4503c735f44e33cb5dc23337fe07b920ec55931709178437b9ade4"},"schema_version":"1.0"},"canonical_sha256":"6bf7625265431d59608c122989044044d35b37ccc064347f7e36d2356e2c3d1a","source":{"kind":"arxiv","id":"2005.10917","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2005.10917","created_at":"2026-07-05T01:37:10Z"},{"alias_kind":"arxiv_version","alias_value":"2005.10917v2","created_at":"2026-07-05T01:37:10Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2005.10917","created_at":"2026-07-05T01:37:10Z"},{"alias_kind":"pith_short_12","alias_value":"NP3WEUTFIMOV","created_at":"2026-07-05T01:37:10Z"},{"alias_kind":"pith_short_16","alias_value":"NP3WEUTFIMOVSYEM","created_at":"2026-07-05T01:37:10Z"},{"alias_kind":"pith_short_8","alias_value":"NP3WEUTF","created_at":"2026-07-05T01:37:10Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2020:NP3WEUTFIMOVSYEMCIUYSBCAIT","target":"record","payload":{"canonical_record":{"source":{"id":"2005.10917","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.DS","submitted_at":"2020-05-21T21:42:30Z","cross_cats_sorted":["cs.DB","cs.LG"],"title_canon_sha256":"2f313a99482b591c0233d5b28ff0ac4a6cbdedfe638d91db5f9195e396ddf2c6","abstract_canon_sha256":"042ceec66d4503c735f44e33cb5dc23337fe07b920ec55931709178437b9ade4"},"schema_version":"1.0"},"canonical_sha256":"6bf7625265431d59608c122989044044d35b37ccc064347f7e36d2356e2c3d1a","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T01:37:10.555179Z","signature_b64":"7si3is8aiWnq0hq6H8sixHsgiU2rQLVhl/vg/gI3xARWXcNG8LMLhf3R9pz+g59Paxv0yCmkqt6d5NwKh0+9Dw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"6bf7625265431d59608c122989044044d35b37ccc064347f7e36d2356e2c3d1a","last_reissued_at":"2026-07-05T01:37:10.554742Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T01:37:10.554742Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2005.10917","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":"2026-07-05T01:37:10Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"CY6jJ1pK0ckq/AN+3xotdoScDy1ylD9XGwM5l1Was9g9aEfLbPzr3/4j77dUKlI3aTQZTLZnT9XKmqxoT+y/DQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-08T23:13:00.338838Z"},"content_sha256":"5e22fe2ed05700e03a271ce6b67f65299408605963c5ecae302c15056b0f77ef","schema_version":"1.0","event_id":"sha256:5e22fe2ed05700e03a271ce6b67f65299408605963c5ecae302c15056b0f77ef"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2020:NP3WEUTFIMOVSYEMCIUYSBCAIT","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Succinct Trit-array Trie for Scalable Trajectory Similarity Search","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.DB","cs.LG"],"primary_cat":"cs.DS","authors_text":"Keisuke Fujii, Koh Takeuchi, Shunsuke Kanda, Yasuo Tabei","submitted_at":"2020-05-21T21:42:30Z","abstract_excerpt":"Massive datasets of spatial trajectories representing the mobility of a diversity of moving objects are ubiquitous in research and industry. Similarity search of a large collection of trajectories is indispensable for turning these datasets into knowledge. Locality sensitive hashing (LSH) is a powerful technique for fast similarity searches. Recent methods employ LSH and attempt to realize an efficient similarity search of trajectories; however, those methods are inefficient in terms of search time and memory when applied to massive datasets. To address this problem, we present the trajectory-"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2005.10917","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/2005.10917/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":"2026-07-05T01:37:10Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"RHgpTejET+y/myal++sDXfbV0ruxjJMeEgCU8uQFDyZ5zns+uqYCQSRgvN5f0WAyWgGGT+jmv5DXbU3dylXZAw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-08T23:13:00.339217Z"},"content_sha256":"09d59b9866e9542fbbe793d7463f18ab1f840875285071b9c79d83cf116ecfdd","schema_version":"1.0","event_id":"sha256:09d59b9866e9542fbbe793d7463f18ab1f840875285071b9c79d83cf116ecfdd"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/NP3WEUTFIMOVSYEMCIUYSBCAIT/bundle.json","state_url":"https://pith.science/pith/NP3WEUTFIMOVSYEMCIUYSBCAIT/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/NP3WEUTFIMOVSYEMCIUYSBCAIT/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":"2026-07-08T23:13:00Z","links":{"resolver":"https://pith.science/pith/NP3WEUTFIMOVSYEMCIUYSBCAIT","bundle":"https://pith.science/pith/NP3WEUTFIMOVSYEMCIUYSBCAIT/bundle.json","state":"https://pith.science/pith/NP3WEUTFIMOVSYEMCIUYSBCAIT/state.json","well_known_bundle":"https://pith.science/.well-known/pith/NP3WEUTFIMOVSYEMCIUYSBCAIT/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2020:NP3WEUTFIMOVSYEMCIUYSBCAIT","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":"042ceec66d4503c735f44e33cb5dc23337fe07b920ec55931709178437b9ade4","cross_cats_sorted":["cs.DB","cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.DS","submitted_at":"2020-05-21T21:42:30Z","title_canon_sha256":"2f313a99482b591c0233d5b28ff0ac4a6cbdedfe638d91db5f9195e396ddf2c6"},"schema_version":"1.0","source":{"id":"2005.10917","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2005.10917","created_at":"2026-07-05T01:37:10Z"},{"alias_kind":"arxiv_version","alias_value":"2005.10917v2","created_at":"2026-07-05T01:37:10Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2005.10917","created_at":"2026-07-05T01:37:10Z"},{"alias_kind":"pith_short_12","alias_value":"NP3WEUTFIMOV","created_at":"2026-07-05T01:37:10Z"},{"alias_kind":"pith_short_16","alias_value":"NP3WEUTFIMOVSYEM","created_at":"2026-07-05T01:37:10Z"},{"alias_kind":"pith_short_8","alias_value":"NP3WEUTF","created_at":"2026-07-05T01:37:10Z"}],"graph_snapshots":[{"event_id":"sha256:09d59b9866e9542fbbe793d7463f18ab1f840875285071b9c79d83cf116ecfdd","target":"graph","created_at":"2026-07-05T01:37:10Z","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/2005.10917/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Massive datasets of spatial trajectories representing the mobility of a diversity of moving objects are ubiquitous in research and industry. Similarity search of a large collection of trajectories is indispensable for turning these datasets into knowledge. Locality sensitive hashing (LSH) is a powerful technique for fast similarity searches. Recent methods employ LSH and attempt to realize an efficient similarity search of trajectories; however, those methods are inefficient in terms of search time and memory when applied to massive datasets. To address this problem, we present the trajectory-","authors_text":"Keisuke Fujii, Koh Takeuchi, Shunsuke Kanda, Yasuo Tabei","cross_cats":["cs.DB","cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.DS","submitted_at":"2020-05-21T21:42:30Z","title":"Succinct Trit-array Trie for Scalable Trajectory Similarity Search"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2005.10917","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":"sha256:5e22fe2ed05700e03a271ce6b67f65299408605963c5ecae302c15056b0f77ef","target":"record","created_at":"2026-07-05T01:37:10Z","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":"042ceec66d4503c735f44e33cb5dc23337fe07b920ec55931709178437b9ade4","cross_cats_sorted":["cs.DB","cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.DS","submitted_at":"2020-05-21T21:42:30Z","title_canon_sha256":"2f313a99482b591c0233d5b28ff0ac4a6cbdedfe638d91db5f9195e396ddf2c6"},"schema_version":"1.0","source":{"id":"2005.10917","kind":"arxiv","version":2}},"canonical_sha256":"6bf7625265431d59608c122989044044d35b37ccc064347f7e36d2356e2c3d1a","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"6bf7625265431d59608c122989044044d35b37ccc064347f7e36d2356e2c3d1a","first_computed_at":"2026-07-05T01:37:10.554742Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T01:37:10.554742Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"7si3is8aiWnq0hq6H8sixHsgiU2rQLVhl/vg/gI3xARWXcNG8LMLhf3R9pz+g59Paxv0yCmkqt6d5NwKh0+9Dw==","signature_status":"signed_v1","signed_at":"2026-07-05T01:37:10.555179Z","signed_message":"canonical_sha256_bytes"},"source_id":"2005.10917","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:5e22fe2ed05700e03a271ce6b67f65299408605963c5ecae302c15056b0f77ef","sha256:09d59b9866e9542fbbe793d7463f18ab1f840875285071b9c79d83cf116ecfdd"],"state_sha256":"b038557332e0af37ccc51fb045a0dbb05b14f9740e6f4cb9c4792dfbcfc83acd"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"EZiP/nVMGV2AZXYmjIRijpeexV9B8r+LX8TQf15RhETkRY3OHkoqP8Brt/JrpBNpyngK/5xf5/Mforwf1v6qCA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-08T23:13:00.341431Z","bundle_sha256":"07aa40a16cdb8d79249772e64d7879bdad954d3ddd18b03e66f60bf3fb226868"}}