{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:PO67KQBN22542NR4DWTLCQC633","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":"9ee4c1ec1389b78bda2e8ea9e04825cf795745df9f76265b9fe027b5f73a773e","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2026-06-16T14:30:09Z","title_canon_sha256":"a062aa9a85ce80a55a422be32fd45b8feaa00c4cef8322b5c98805e858e3ad0e"},"schema_version":"1.0","source":{"id":"2606.17978","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2606.17978","created_at":"2026-06-19T16:10:45Z"},{"alias_kind":"arxiv_version","alias_value":"2606.17978v1","created_at":"2026-06-19T16:10:45Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.17978","created_at":"2026-06-19T16:10:45Z"},{"alias_kind":"pith_short_12","alias_value":"PO67KQBN2254","created_at":"2026-06-19T16:10:45Z"},{"alias_kind":"pith_short_16","alias_value":"PO67KQBN22542NR4","created_at":"2026-06-19T16:10:45Z"},{"alias_kind":"pith_short_8","alias_value":"PO67KQBN","created_at":"2026-06-19T16:10:45Z"}],"graph_snapshots":[{"event_id":"sha256:584ec39c61f41622223a2e20901f1f81b7cd51ab24d750b4a4daeb840854a494","target":"graph","created_at":"2026-06-19T16:10:45Z","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/2606.17978/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Trajectory similarity is a fundamental task in analyzing mobility patterns, essential for applications such as route pattern extraction, mobility prediction, and anomaly detection. Traditional distance-based measures for computing similarity incur high computational cost, driving the adoption of lightweight learning-based approaches. Supervised methods rely on extensive labels derived from traditional distance measures and often reproduce these metrics, which limits generalization. While self-supervised learning addresses this issue through contrastive learning, it lacks a unified framework, m","authors_text":"Amilcar Soares, Gabriel Spadon, Jos\\'e F. Rodrigues-Jr, Md Mahbub Alam, Ruixin Song, Zahra Sadeghi","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2026-06-16T14:30:09Z","title":"MoCo-AIS: A Contrastive Learning Framework for Similarity Computation of Vessel Trajectories"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.17978","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":"sha256:972241f8ddbee1815d96fbdf0dc5002c86755a82e821bbeff170e7fcf0280f30","target":"record","created_at":"2026-06-19T16:10:45Z","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":"9ee4c1ec1389b78bda2e8ea9e04825cf795745df9f76265b9fe027b5f73a773e","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2026-06-16T14:30:09Z","title_canon_sha256":"a062aa9a85ce80a55a422be32fd45b8feaa00c4cef8322b5c98805e858e3ad0e"},"schema_version":"1.0","source":{"id":"2606.17978","kind":"arxiv","version":1}},"canonical_sha256":"7bbdf5402dd6bbcd363c1da6b1405edee29bcd1bea5e99cbfbef519c727835e8","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"7bbdf5402dd6bbcd363c1da6b1405edee29bcd1bea5e99cbfbef519c727835e8","first_computed_at":"2026-06-19T16:10:45.031720Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-06-19T16:10:45.031720Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"bKLTR5fRgYhzyMgdZ/CXEhgA3EwwPg/URs0QcEi8TQ/SWEHViK8bZ6TkF/3/XX0NfxpCacywHvp/CFAh8dN7Aw==","signature_status":"signed_v1","signed_at":"2026-06-19T16:10:45.032058Z","signed_message":"canonical_sha256_bytes"},"source_id":"2606.17978","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:972241f8ddbee1815d96fbdf0dc5002c86755a82e821bbeff170e7fcf0280f30","sha256:584ec39c61f41622223a2e20901f1f81b7cd51ab24d750b4a4daeb840854a494"],"state_sha256":"4415f8f4a7967f464c14e6c034529ad132226acf1c0f50d8880867da16120fe0"}