{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2025:ORDODTZN3AZPLGUXAIU4QLZ5V2","short_pith_number":"pith:ORDODTZN","schema_version":"1.0","canonical_sha256":"7446e1cf2dd832f59a970229c82f3dae9b300bd220c4f2521b3b9bccd70fe354","source":{"kind":"arxiv","id":"2508.02372","version":1},"attestation_state":"computed","paper":{"title":"TRUDI and TITUS: A Multi-Perspective Dataset and A Three-Stage Recognition System for Transportation Unit Identification","license":"http://creativecommons.org/licenses/by-sa/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Andr\\'e Kelm, Christian Wilms, Emre G\\\"ulsoylu, Janick Edinger, Lennart Bengtson, Matthias Hirsch, Simone Frintrop, Tim Rolff","submitted_at":"2025-08-04T13:02:04Z","abstract_excerpt":"Identifying transportation units (TUs) is essential for improving the efficiency of port logistics. However, progress in this field has been hindered by the lack of publicly available benchmark datasets that capture the diversity and dynamics of real-world port environments. To address this gap, we present the TRUDI dataset-a comprehensive collection comprising 35,034 annotated instances across five categories: container, tank container, trailer, ID text, and logo. The images were captured at operational ports using both ground-based and aerial cameras, under a wide variety of lighting and wea"},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"2508.02372","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2025-08-04T13:02:04Z","cross_cats_sorted":[],"title_canon_sha256":"ff4a550327d832fe23eaaa2e339c1112000b27c3b20ce5b8b3eddc90b1462b12","abstract_canon_sha256":"2336a55c949ec1716a7557049e8f84f4f32d09cb506c4f7dd602e29e2d5f7d48"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:48:13.215688Z","signature_b64":"0zVlaMFFDLfxiL9tjeSuIrdcSOCpro0rqOxRqgDPIJC/T/bvWVFUI+ruUFK68JDoCvKu9u474fVG74f7k11FBQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"7446e1cf2dd832f59a970229c82f3dae9b300bd220c4f2521b3b9bccd70fe354","last_reissued_at":"2026-07-05T11:48:13.215172Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:48:13.215172Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"TRUDI and TITUS: A Multi-Perspective Dataset and A Three-Stage Recognition System for Transportation Unit Identification","license":"http://creativecommons.org/licenses/by-sa/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Andr\\'e Kelm, Christian Wilms, Emre G\\\"ulsoylu, Janick Edinger, Lennart Bengtson, Matthias Hirsch, Simone Frintrop, Tim Rolff","submitted_at":"2025-08-04T13:02:04Z","abstract_excerpt":"Identifying transportation units (TUs) is essential for improving the efficiency of port logistics. However, progress in this field has been hindered by the lack of publicly available benchmark datasets that capture the diversity and dynamics of real-world port environments. To address this gap, we present the TRUDI dataset-a comprehensive collection comprising 35,034 annotated instances across five categories: container, tank container, trailer, ID text, and logo. The images were captured at operational ports using both ground-based and aerial cameras, under a wide variety of lighting and wea"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2508.02372","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/2508.02372/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"},"aliases":[{"alias_kind":"arxiv","alias_value":"2508.02372","created_at":"2026-07-05T11:48:13.215232+00:00"},{"alias_kind":"arxiv_version","alias_value":"2508.02372v1","created_at":"2026-07-05T11:48:13.215232+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2508.02372","created_at":"2026-07-05T11:48:13.215232+00:00"},{"alias_kind":"pith_short_12","alias_value":"ORDODTZN3AZP","created_at":"2026-07-05T11:48:13.215232+00:00"},{"alias_kind":"pith_short_16","alias_value":"ORDODTZN3AZPLGUX","created_at":"2026-07-05T11:48:13.215232+00:00"},{"alias_kind":"pith_short_8","alias_value":"ORDODTZN","created_at":"2026-07-05T11:48:13.215232+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/ORDODTZN3AZPLGUXAIU4QLZ5V2","json":"https://pith.science/pith/ORDODTZN3AZPLGUXAIU4QLZ5V2.json","graph_json":"https://pith.science/api/pith-number/ORDODTZN3AZPLGUXAIU4QLZ5V2/graph.json","events_json":"https://pith.science/api/pith-number/ORDODTZN3AZPLGUXAIU4QLZ5V2/events.json","paper":"https://pith.science/paper/ORDODTZN"},"agent_actions":{"view_html":"https://pith.science/pith/ORDODTZN3AZPLGUXAIU4QLZ5V2","download_json":"https://pith.science/pith/ORDODTZN3AZPLGUXAIU4QLZ5V2.json","view_paper":"https://pith.science/paper/ORDODTZN","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2508.02372&json=true","fetch_graph":"https://pith.science/api/pith-number/ORDODTZN3AZPLGUXAIU4QLZ5V2/graph.json","fetch_events":"https://pith.science/api/pith-number/ORDODTZN3AZPLGUXAIU4QLZ5V2/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/ORDODTZN3AZPLGUXAIU4QLZ5V2/action/timestamp_anchor","attest_storage":"https://pith.science/pith/ORDODTZN3AZPLGUXAIU4QLZ5V2/action/storage_attestation","attest_author":"https://pith.science/pith/ORDODTZN3AZPLGUXAIU4QLZ5V2/action/author_attestation","sign_citation":"https://pith.science/pith/ORDODTZN3AZPLGUXAIU4QLZ5V2/action/citation_signature","submit_replication":"https://pith.science/pith/ORDODTZN3AZPLGUXAIU4QLZ5V2/action/replication_record"}},"created_at":"2026-07-05T11:48:13.215232+00:00","updated_at":"2026-07-05T11:48:13.215232+00:00"}