{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2025:R6KVEKMN6GEJWHBBE5PGZXKU54","short_pith_number":"pith:R6KVEKMN","schema_version":"1.0","canonical_sha256":"8f9552298df1889b1c21275e6cdd54ef08a0705b9b88dc46d345b0fd08d133b6","source":{"kind":"arxiv","id":"2507.17585","version":1},"attestation_state":"computed","paper":{"title":"From Scan to Action: Leveraging Realistic Scans for Embodied Scene Understanding","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.RO"],"primary_cat":"cs.CV","authors_text":"Anna-Maria Halacheva, Danda Pani Paudel, Jan-Nico Zaech, Luc Van Gool, Sombit Dey","submitted_at":"2025-07-23T15:20:31Z","abstract_excerpt":"Real-world 3D scene-level scans offer realism and can enable better real-world generalizability for downstream applications. However, challenges such as data volume, diverse annotation formats, and tool compatibility limit their use. This paper demonstrates a methodology to effectively leverage these scans and their annotations. We propose a unified annotation integration using USD, with application-specific USD flavors. We identify challenges in utilizing holistic real-world scan datasets and present mitigation strategies. The efficacy of our approach is demonstrated through two downstream ap"},"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":"2507.17585","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-07-23T15:20:31Z","cross_cats_sorted":["cs.RO"],"title_canon_sha256":"58215a27bbb796b935d623a246d35c0d6d6f6f0b87c7ffb00af20ab638bb2ca8","abstract_canon_sha256":"5baa19d454f7b6ce7d3127cb177cdf27bcda9647590c6fb0bdca217899946166"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:42:10.304051Z","signature_b64":"wKM+Y06fzN4FSV6hv3bvNdDgX8sttBDqXlaz6mu473zNQ28aLJkFJ0zGd/VCEE72eyGIFka+ztMgIUHsYd5uBw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"8f9552298df1889b1c21275e6cdd54ef08a0705b9b88dc46d345b0fd08d133b6","last_reissued_at":"2026-07-05T11:42:10.303570Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:42:10.303570Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"From Scan to Action: Leveraging Realistic Scans for Embodied Scene Understanding","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.RO"],"primary_cat":"cs.CV","authors_text":"Anna-Maria Halacheva, Danda Pani Paudel, Jan-Nico Zaech, Luc Van Gool, Sombit Dey","submitted_at":"2025-07-23T15:20:31Z","abstract_excerpt":"Real-world 3D scene-level scans offer realism and can enable better real-world generalizability for downstream applications. However, challenges such as data volume, diverse annotation formats, and tool compatibility limit their use. This paper demonstrates a methodology to effectively leverage these scans and their annotations. We propose a unified annotation integration using USD, with application-specific USD flavors. We identify challenges in utilizing holistic real-world scan datasets and present mitigation strategies. The efficacy of our approach is demonstrated through two downstream ap"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2507.17585","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/2507.17585/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":"2507.17585","created_at":"2026-07-05T11:42:10.303631+00:00"},{"alias_kind":"arxiv_version","alias_value":"2507.17585v1","created_at":"2026-07-05T11:42:10.303631+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2507.17585","created_at":"2026-07-05T11:42:10.303631+00:00"},{"alias_kind":"pith_short_12","alias_value":"R6KVEKMN6GEJ","created_at":"2026-07-05T11:42:10.303631+00:00"},{"alias_kind":"pith_short_16","alias_value":"R6KVEKMN6GEJWHBB","created_at":"2026-07-05T11:42:10.303631+00:00"},{"alias_kind":"pith_short_8","alias_value":"R6KVEKMN","created_at":"2026-07-05T11:42:10.303631+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/R6KVEKMN6GEJWHBBE5PGZXKU54","json":"https://pith.science/pith/R6KVEKMN6GEJWHBBE5PGZXKU54.json","graph_json":"https://pith.science/api/pith-number/R6KVEKMN6GEJWHBBE5PGZXKU54/graph.json","events_json":"https://pith.science/api/pith-number/R6KVEKMN6GEJWHBBE5PGZXKU54/events.json","paper":"https://pith.science/paper/R6KVEKMN"},"agent_actions":{"view_html":"https://pith.science/pith/R6KVEKMN6GEJWHBBE5PGZXKU54","download_json":"https://pith.science/pith/R6KVEKMN6GEJWHBBE5PGZXKU54.json","view_paper":"https://pith.science/paper/R6KVEKMN","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2507.17585&json=true","fetch_graph":"https://pith.science/api/pith-number/R6KVEKMN6GEJWHBBE5PGZXKU54/graph.json","fetch_events":"https://pith.science/api/pith-number/R6KVEKMN6GEJWHBBE5PGZXKU54/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/R6KVEKMN6GEJWHBBE5PGZXKU54/action/timestamp_anchor","attest_storage":"https://pith.science/pith/R6KVEKMN6GEJWHBBE5PGZXKU54/action/storage_attestation","attest_author":"https://pith.science/pith/R6KVEKMN6GEJWHBBE5PGZXKU54/action/author_attestation","sign_citation":"https://pith.science/pith/R6KVEKMN6GEJWHBBE5PGZXKU54/action/citation_signature","submit_replication":"https://pith.science/pith/R6KVEKMN6GEJWHBBE5PGZXKU54/action/replication_record"}},"created_at":"2026-07-05T11:42:10.303631+00:00","updated_at":"2026-07-05T11:42:10.303631+00:00"}