{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2020:VSXFTMED5EYOGU2Y3FSI3WRHCD","short_pith_number":"pith:VSXFTMED","schema_version":"1.0","canonical_sha256":"acae59b083e930e35358d9648dda2710d09ecc10ce2560231982df55c3d416a8","source":{"kind":"arxiv","id":"2003.05541","version":1},"attestation_state":"computed","paper":{"title":"VSGNet: Spatial Attention Network for Detecting Human Object Interactions Using Graph Convolutions","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"A S M Iftekhar, B.S. Manjunath, Oytun Ulutan","submitted_at":"2020-03-11T22:23:51Z","abstract_excerpt":"Comprehensive visual understanding requires detection frameworks that can effectively learn and utilize object interactions while analyzing objects individually. This is the main objective in Human-Object Interaction (HOI) detection task. In particular, relative spatial reasoning and structural connections between objects are essential cues for analyzing interactions, which is addressed by the proposed Visual-Spatial-Graph Network (VSGNet) architecture. VSGNet extracts visual features from the human-object pairs, refines the features with spatial configurations of the pair, and utilizes the st"},"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":"2003.05541","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2020-03-11T22:23:51Z","cross_cats_sorted":[],"title_canon_sha256":"352f1271ad6626e9f2a31b8faf4517021dd698f2c4f03337e98cfad3a8159836","abstract_canon_sha256":"b6e925f0d88f6c7d29d743d6d3a33b2f0a82096f2d4f97b35f22ffa5996ec000"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T00:47:31.227352Z","signature_b64":"alOJ+aKwWWB4/5hklMFubUWV7PkZQf27RHC0IRsGh9fJ+29xngpnatxa8qjyZenASkZfiP7PwD3Ktbrq5TlwCg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"acae59b083e930e35358d9648dda2710d09ecc10ce2560231982df55c3d416a8","last_reissued_at":"2026-07-05T00:47:31.226888Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T00:47:31.226888Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"VSGNet: Spatial Attention Network for Detecting Human Object Interactions Using Graph Convolutions","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"A S M Iftekhar, B.S. Manjunath, Oytun Ulutan","submitted_at":"2020-03-11T22:23:51Z","abstract_excerpt":"Comprehensive visual understanding requires detection frameworks that can effectively learn and utilize object interactions while analyzing objects individually. This is the main objective in Human-Object Interaction (HOI) detection task. In particular, relative spatial reasoning and structural connections between objects are essential cues for analyzing interactions, which is addressed by the proposed Visual-Spatial-Graph Network (VSGNet) architecture. VSGNet extracts visual features from the human-object pairs, refines the features with spatial configurations of the pair, and utilizes the st"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2003.05541","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/2003.05541/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":"2003.05541","created_at":"2026-07-05T00:47:31.226945+00:00"},{"alias_kind":"arxiv_version","alias_value":"2003.05541v1","created_at":"2026-07-05T00:47:31.226945+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2003.05541","created_at":"2026-07-05T00:47:31.226945+00:00"},{"alias_kind":"pith_short_12","alias_value":"VSXFTMED5EYO","created_at":"2026-07-05T00:47:31.226945+00:00"},{"alias_kind":"pith_short_16","alias_value":"VSXFTMED5EYOGU2Y","created_at":"2026-07-05T00:47:31.226945+00:00"},{"alias_kind":"pith_short_8","alias_value":"VSXFTMED","created_at":"2026-07-05T00:47:31.226945+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/VSXFTMED5EYOGU2Y3FSI3WRHCD","json":"https://pith.science/pith/VSXFTMED5EYOGU2Y3FSI3WRHCD.json","graph_json":"https://pith.science/api/pith-number/VSXFTMED5EYOGU2Y3FSI3WRHCD/graph.json","events_json":"https://pith.science/api/pith-number/VSXFTMED5EYOGU2Y3FSI3WRHCD/events.json","paper":"https://pith.science/paper/VSXFTMED"},"agent_actions":{"view_html":"https://pith.science/pith/VSXFTMED5EYOGU2Y3FSI3WRHCD","download_json":"https://pith.science/pith/VSXFTMED5EYOGU2Y3FSI3WRHCD.json","view_paper":"https://pith.science/paper/VSXFTMED","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2003.05541&json=true","fetch_graph":"https://pith.science/api/pith-number/VSXFTMED5EYOGU2Y3FSI3WRHCD/graph.json","fetch_events":"https://pith.science/api/pith-number/VSXFTMED5EYOGU2Y3FSI3WRHCD/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/VSXFTMED5EYOGU2Y3FSI3WRHCD/action/timestamp_anchor","attest_storage":"https://pith.science/pith/VSXFTMED5EYOGU2Y3FSI3WRHCD/action/storage_attestation","attest_author":"https://pith.science/pith/VSXFTMED5EYOGU2Y3FSI3WRHCD/action/author_attestation","sign_citation":"https://pith.science/pith/VSXFTMED5EYOGU2Y3FSI3WRHCD/action/citation_signature","submit_replication":"https://pith.science/pith/VSXFTMED5EYOGU2Y3FSI3WRHCD/action/replication_record"}},"created_at":"2026-07-05T00:47:31.226945+00:00","updated_at":"2026-07-05T00:47:31.226945+00:00"}