{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2025:24ZBOLKZJ73FZ5AQKB2JKOM45P","short_pith_number":"pith:24ZBOLKZ","schema_version":"1.0","canonical_sha256":"d732172d594ff65cf410507495399cebc120ab07fc4a56d73001583f95be29be","source":{"kind":"arxiv","id":"2506.12525","version":1},"attestation_state":"computed","paper":{"title":"A Spatial Relationship Aware Dataset for Robotics","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.RO","authors_text":"Minh Huy Pham, Peng Wang, Wei Zhou, Zhihao Guo","submitted_at":"2025-06-14T14:52:38Z","abstract_excerpt":"Robotic task planning in real-world environments requires not only object recognition but also a nuanced understanding of spatial relationships between objects. We present a spatial-relationship-aware dataset of nearly 1,000 robot-acquired indoor images, annotated with object attributes, positions, and detailed spatial relationships. Captured using a Boston Dynamics Spot robot and labelled with a custom annotation tool, the dataset reflects complex scenarios with similar or identical objects and intricate spatial arrangements. We benchmark six state-of-the-art scene-graph generation models on "},"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":"2506.12525","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.RO","submitted_at":"2025-06-14T14:52:38Z","cross_cats_sorted":[],"title_canon_sha256":"146a5ab0da2000001de5d5c1720eb2e1ceb3b01eea485848c2ef730c1d6f8d93","abstract_canon_sha256":"7a7bc9f9e3016421e8792ccd4744df6103b17470d7944349059017f2c6202c90"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:21:54.743702Z","signature_b64":"H6ph+TZZAUPn88HmOjli4fjjAST0lvQMZd34fzqh6bIwgxOs8qSTsmAzylIqaRvCgLlrKVhdnWy29GZQ1D2sBQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"d732172d594ff65cf410507495399cebc120ab07fc4a56d73001583f95be29be","last_reissued_at":"2026-07-05T11:21:54.743289Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:21:54.743289Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"A Spatial Relationship Aware Dataset for Robotics","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.RO","authors_text":"Minh Huy Pham, Peng Wang, Wei Zhou, Zhihao Guo","submitted_at":"2025-06-14T14:52:38Z","abstract_excerpt":"Robotic task planning in real-world environments requires not only object recognition but also a nuanced understanding of spatial relationships between objects. We present a spatial-relationship-aware dataset of nearly 1,000 robot-acquired indoor images, annotated with object attributes, positions, and detailed spatial relationships. Captured using a Boston Dynamics Spot robot and labelled with a custom annotation tool, the dataset reflects complex scenarios with similar or identical objects and intricate spatial arrangements. We benchmark six state-of-the-art scene-graph generation models on "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2506.12525","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/2506.12525/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":"2506.12525","created_at":"2026-07-05T11:21:54.743355+00:00"},{"alias_kind":"arxiv_version","alias_value":"2506.12525v1","created_at":"2026-07-05T11:21:54.743355+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2506.12525","created_at":"2026-07-05T11:21:54.743355+00:00"},{"alias_kind":"pith_short_12","alias_value":"24ZBOLKZJ73F","created_at":"2026-07-05T11:21:54.743355+00:00"},{"alias_kind":"pith_short_16","alias_value":"24ZBOLKZJ73FZ5AQ","created_at":"2026-07-05T11:21:54.743355+00:00"},{"alias_kind":"pith_short_8","alias_value":"24ZBOLKZ","created_at":"2026-07-05T11:21:54.743355+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/24ZBOLKZJ73FZ5AQKB2JKOM45P","json":"https://pith.science/pith/24ZBOLKZJ73FZ5AQKB2JKOM45P.json","graph_json":"https://pith.science/api/pith-number/24ZBOLKZJ73FZ5AQKB2JKOM45P/graph.json","events_json":"https://pith.science/api/pith-number/24ZBOLKZJ73FZ5AQKB2JKOM45P/events.json","paper":"https://pith.science/paper/24ZBOLKZ"},"agent_actions":{"view_html":"https://pith.science/pith/24ZBOLKZJ73FZ5AQKB2JKOM45P","download_json":"https://pith.science/pith/24ZBOLKZJ73FZ5AQKB2JKOM45P.json","view_paper":"https://pith.science/paper/24ZBOLKZ","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2506.12525&json=true","fetch_graph":"https://pith.science/api/pith-number/24ZBOLKZJ73FZ5AQKB2JKOM45P/graph.json","fetch_events":"https://pith.science/api/pith-number/24ZBOLKZJ73FZ5AQKB2JKOM45P/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/24ZBOLKZJ73FZ5AQKB2JKOM45P/action/timestamp_anchor","attest_storage":"https://pith.science/pith/24ZBOLKZJ73FZ5AQKB2JKOM45P/action/storage_attestation","attest_author":"https://pith.science/pith/24ZBOLKZJ73FZ5AQKB2JKOM45P/action/author_attestation","sign_citation":"https://pith.science/pith/24ZBOLKZJ73FZ5AQKB2JKOM45P/action/citation_signature","submit_replication":"https://pith.science/pith/24ZBOLKZJ73FZ5AQKB2JKOM45P/action/replication_record"}},"created_at":"2026-07-05T11:21:54.743355+00:00","updated_at":"2026-07-05T11:21:54.743355+00:00"}