{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2020:VICMQNFHXSHO5VJ42J3BXVBWLC","short_pith_number":"pith:VICMQNFH","schema_version":"1.0","canonical_sha256":"aa04c834a7bc8eeed53cd2761bd43658a6cf787ad4560e286d45711884c968c4","source":{"kind":"arxiv","id":"2009.13824","version":1},"attestation_state":"computed","paper":{"title":"An Image Processing Pipeline for Automated Packaging Structure Recognition","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI","cs.LG"],"primary_cat":"cs.CV","authors_text":"Alexander Naumann, Felix Brandt, Laura D\\\"orr, Martin Pouls","submitted_at":"2020-09-29T07:26:08Z","abstract_excerpt":"Dispatching and receiving logistics goods, as well as transportation itself, involve a high amount of manual efforts. The transported goods, including their packaging and labeling, need to be double-checked, verified or recognized at many supply chain network points. These processes hold automation potentials, which we aim to exploit using computer vision techniques. More precisely, we propose a cognitive system for the fully automated recognition of packaging structures for standardized logistics shipments based on single RGB images. Our contribution contains descriptions of a suitable system"},"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":"2009.13824","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2020-09-29T07:26:08Z","cross_cats_sorted":["cs.AI","cs.LG"],"title_canon_sha256":"b381283819371397f97f59d7485f6abed50ec1793c275cb8f327e21a3eff44d9","abstract_canon_sha256":"4a1c85e791c0288ce419b2db19f7139d662eab37670c666acb1b44606f7a7b80"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T01:38:45.361291Z","signature_b64":"3V37PUl9+j9SsF1MtmC0bJIMf9LeN/2CN8z/YcGG1OGUhMd7fXXlq9y77vE6YrYWWsrfYEJWcKsK6eQTDUVQDg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"aa04c834a7bc8eeed53cd2761bd43658a6cf787ad4560e286d45711884c968c4","last_reissued_at":"2026-07-05T01:38:45.360943Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T01:38:45.360943Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"An Image Processing Pipeline for Automated Packaging Structure Recognition","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI","cs.LG"],"primary_cat":"cs.CV","authors_text":"Alexander Naumann, Felix Brandt, Laura D\\\"orr, Martin Pouls","submitted_at":"2020-09-29T07:26:08Z","abstract_excerpt":"Dispatching and receiving logistics goods, as well as transportation itself, involve a high amount of manual efforts. The transported goods, including their packaging and labeling, need to be double-checked, verified or recognized at many supply chain network points. These processes hold automation potentials, which we aim to exploit using computer vision techniques. More precisely, we propose a cognitive system for the fully automated recognition of packaging structures for standardized logistics shipments based on single RGB images. Our contribution contains descriptions of a suitable system"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2009.13824","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/2009.13824/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":"2009.13824","created_at":"2026-07-05T01:38:45.361004+00:00"},{"alias_kind":"arxiv_version","alias_value":"2009.13824v1","created_at":"2026-07-05T01:38:45.361004+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2009.13824","created_at":"2026-07-05T01:38:45.361004+00:00"},{"alias_kind":"pith_short_12","alias_value":"VICMQNFHXSHO","created_at":"2026-07-05T01:38:45.361004+00:00"},{"alias_kind":"pith_short_16","alias_value":"VICMQNFHXSHO5VJ4","created_at":"2026-07-05T01:38:45.361004+00:00"},{"alias_kind":"pith_short_8","alias_value":"VICMQNFH","created_at":"2026-07-05T01:38:45.361004+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/VICMQNFHXSHO5VJ42J3BXVBWLC","json":"https://pith.science/pith/VICMQNFHXSHO5VJ42J3BXVBWLC.json","graph_json":"https://pith.science/api/pith-number/VICMQNFHXSHO5VJ42J3BXVBWLC/graph.json","events_json":"https://pith.science/api/pith-number/VICMQNFHXSHO5VJ42J3BXVBWLC/events.json","paper":"https://pith.science/paper/VICMQNFH"},"agent_actions":{"view_html":"https://pith.science/pith/VICMQNFHXSHO5VJ42J3BXVBWLC","download_json":"https://pith.science/pith/VICMQNFHXSHO5VJ42J3BXVBWLC.json","view_paper":"https://pith.science/paper/VICMQNFH","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2009.13824&json=true","fetch_graph":"https://pith.science/api/pith-number/VICMQNFHXSHO5VJ42J3BXVBWLC/graph.json","fetch_events":"https://pith.science/api/pith-number/VICMQNFHXSHO5VJ42J3BXVBWLC/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/VICMQNFHXSHO5VJ42J3BXVBWLC/action/timestamp_anchor","attest_storage":"https://pith.science/pith/VICMQNFHXSHO5VJ42J3BXVBWLC/action/storage_attestation","attest_author":"https://pith.science/pith/VICMQNFHXSHO5VJ42J3BXVBWLC/action/author_attestation","sign_citation":"https://pith.science/pith/VICMQNFHXSHO5VJ42J3BXVBWLC/action/citation_signature","submit_replication":"https://pith.science/pith/VICMQNFHXSHO5VJ42J3BXVBWLC/action/replication_record"}},"created_at":"2026-07-05T01:38:45.361004+00:00","updated_at":"2026-07-05T01:38:45.361004+00:00"}