{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2018:XQGJWOZREJCXWKR4QW362Q3E3X","short_pith_number":"pith:XQGJWOZR","canonical_record":{"source":{"id":"1807.00119","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-06-30T03:33:55Z","cross_cats_sorted":[],"title_canon_sha256":"de78aa56c005d50c21b1f1b9058797ec77bdeb541b36d8c5483f87bf81fc4c0a","abstract_canon_sha256":"0166fc45c5850f8596e2d78f7ffe6cf91eb10038800e39dc3b1871ea0c0a91a3"},"schema_version":"1.0"},"canonical_sha256":"bc0c9b3b3122457b2a3c85b7ed4364ddc4ac656214e7dfc4bbeee58604c63362","source":{"kind":"arxiv","id":"1807.00119","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1807.00119","created_at":"2026-05-18T00:11:56Z"},{"alias_kind":"arxiv_version","alias_value":"1807.00119v1","created_at":"2026-05-18T00:11:56Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1807.00119","created_at":"2026-05-18T00:11:56Z"},{"alias_kind":"pith_short_12","alias_value":"XQGJWOZREJCX","created_at":"2026-05-18T12:33:01Z"},{"alias_kind":"pith_short_16","alias_value":"XQGJWOZREJCXWKR4","created_at":"2026-05-18T12:33:01Z"},{"alias_kind":"pith_short_8","alias_value":"XQGJWOZR","created_at":"2026-05-18T12:33:01Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2018:XQGJWOZREJCXWKR4QW362Q3E3X","target":"record","payload":{"canonical_record":{"source":{"id":"1807.00119","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-06-30T03:33:55Z","cross_cats_sorted":[],"title_canon_sha256":"de78aa56c005d50c21b1f1b9058797ec77bdeb541b36d8c5483f87bf81fc4c0a","abstract_canon_sha256":"0166fc45c5850f8596e2d78f7ffe6cf91eb10038800e39dc3b1871ea0c0a91a3"},"schema_version":"1.0"},"canonical_sha256":"bc0c9b3b3122457b2a3c85b7ed4364ddc4ac656214e7dfc4bbeee58604c63362","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:11:56.055481Z","signature_b64":"dkTuQOA3TKW77mI4gU60pJj5lqMJLqa44jk3odgz1uCuN90mJBRKQVpIAXhShgCjJc5gsFOsSmsVgwXlIbGeCA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"bc0c9b3b3122457b2a3c85b7ed4364ddc4ac656214e7dfc4bbeee58604c63362","last_reissued_at":"2026-05-18T00:11:56.054829Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:11:56.054829Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1807.00119","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-18T00:11:56Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"+08kbJUHZgyQVQQq/ufjendI3TcuVEX/q9JkDI1XKNZOoR/b/8fdvj9nDJubFxC/IGNaix/QSeQxoxikoRJvBg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-11T03:03:43.183333Z"},"content_sha256":"afbd098dbcf0b8e74a9fda33d5c01fb39f39eeab40506276574157ee26fb7d94","schema_version":"1.0","event_id":"sha256:afbd098dbcf0b8e74a9fda33d5c01fb39f39eeab40506276574157ee26fb7d94"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2018:XQGJWOZREJCXWKR4QW362Q3E3X","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Structure Inference Net: Object Detection Using Scene-Level Context and Instance-Level Relationships","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Ruiping Wang, Shiguang Shan, Xilin Chen, Yong Liu","submitted_at":"2018-06-30T03:33:55Z","abstract_excerpt":"Context is important for accurate visual recognition. In this work we propose an object detection algorithm that not only considers object visual appearance, but also makes use of two kinds of context including scene contextual information and object relationships within a single image. Therefore, object detection is regarded as both a cognition problem and a reasoning problem when leveraging these structured information. Specifically, this paper formulates object detection as a problem of graph structure inference, where given an image the objects are treated as nodes in a graph and relations"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1807.00119","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":""},"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"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-18T00:11:56Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ykfbd6oVmlI+l6QFB+S2N0Rf7/e3FeDcb8dy+ktiCgGy4wOaKscvnasGWh7isC6ceK0xv4Mpim2ncbkvTU2SCA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-11T03:03:43.183945Z"},"content_sha256":"acd4fff906503323f66d78ce09962c15a3ba11fa9113830222222e05ad83c874","schema_version":"1.0","event_id":"sha256:acd4fff906503323f66d78ce09962c15a3ba11fa9113830222222e05ad83c874"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/XQGJWOZREJCXWKR4QW362Q3E3X/bundle.json","state_url":"https://pith.science/pith/XQGJWOZREJCXWKR4QW362Q3E3X/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/XQGJWOZREJCXWKR4QW362Q3E3X/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-06-11T03:03:43Z","links":{"resolver":"https://pith.science/pith/XQGJWOZREJCXWKR4QW362Q3E3X","bundle":"https://pith.science/pith/XQGJWOZREJCXWKR4QW362Q3E3X/bundle.json","state":"https://pith.science/pith/XQGJWOZREJCXWKR4QW362Q3E3X/state.json","well_known_bundle":"https://pith.science/.well-known/pith/XQGJWOZREJCXWKR4QW362Q3E3X/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2018:XQGJWOZREJCXWKR4QW362Q3E3X","merge_version":"pith-open-graph-merge-v1","event_count":2,"valid_event_count":2,"invalid_event_count":0,"equivocation_count":0,"current":{"canonical_record":{"metadata":{"abstract_canon_sha256":"0166fc45c5850f8596e2d78f7ffe6cf91eb10038800e39dc3b1871ea0c0a91a3","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-06-30T03:33:55Z","title_canon_sha256":"de78aa56c005d50c21b1f1b9058797ec77bdeb541b36d8c5483f87bf81fc4c0a"},"schema_version":"1.0","source":{"id":"1807.00119","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1807.00119","created_at":"2026-05-18T00:11:56Z"},{"alias_kind":"arxiv_version","alias_value":"1807.00119v1","created_at":"2026-05-18T00:11:56Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1807.00119","created_at":"2026-05-18T00:11:56Z"},{"alias_kind":"pith_short_12","alias_value":"XQGJWOZREJCX","created_at":"2026-05-18T12:33:01Z"},{"alias_kind":"pith_short_16","alias_value":"XQGJWOZREJCXWKR4","created_at":"2026-05-18T12:33:01Z"},{"alias_kind":"pith_short_8","alias_value":"XQGJWOZR","created_at":"2026-05-18T12:33:01Z"}],"graph_snapshots":[{"event_id":"sha256:acd4fff906503323f66d78ce09962c15a3ba11fa9113830222222e05ad83c874","target":"graph","created_at":"2026-05-18T00:11:56Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"graph_snapshot":{"author_claims":{"count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","strong_count":0},"builder_version":"pith-number-builder-2026-05-17-v1","claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"paper":{"abstract_excerpt":"Context is important for accurate visual recognition. In this work we propose an object detection algorithm that not only considers object visual appearance, but also makes use of two kinds of context including scene contextual information and object relationships within a single image. Therefore, object detection is regarded as both a cognition problem and a reasoning problem when leveraging these structured information. Specifically, this paper formulates object detection as a problem of graph structure inference, where given an image the objects are treated as nodes in a graph and relations","authors_text":"Ruiping Wang, Shiguang Shan, Xilin Chen, Yong Liu","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-06-30T03:33:55Z","title":"Structure Inference Net: Object Detection Using Scene-Level Context and Instance-Level Relationships"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1807.00119","kind":"arxiv","version":1},"verdict":{"created_at":null,"id":null,"model_set":{},"one_line_summary":"","pipeline_version":null,"pith_extraction_headline":"","strongest_claim":"","weakest_assumption":""}},"verdict_id":null}}],"author_attestations":[],"timestamp_anchors":[],"storage_attestations":[],"citation_signatures":[],"replication_records":[],"corrections":[],"mirror_hints":[],"record_created":{"event_id":"sha256:afbd098dbcf0b8e74a9fda33d5c01fb39f39eeab40506276574157ee26fb7d94","target":"record","created_at":"2026-05-18T00:11:56Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"attestation_state":"computed","canonical_record":{"metadata":{"abstract_canon_sha256":"0166fc45c5850f8596e2d78f7ffe6cf91eb10038800e39dc3b1871ea0c0a91a3","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-06-30T03:33:55Z","title_canon_sha256":"de78aa56c005d50c21b1f1b9058797ec77bdeb541b36d8c5483f87bf81fc4c0a"},"schema_version":"1.0","source":{"id":"1807.00119","kind":"arxiv","version":1}},"canonical_sha256":"bc0c9b3b3122457b2a3c85b7ed4364ddc4ac656214e7dfc4bbeee58604c63362","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"bc0c9b3b3122457b2a3c85b7ed4364ddc4ac656214e7dfc4bbeee58604c63362","first_computed_at":"2026-05-18T00:11:56.054829Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:11:56.054829Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"dkTuQOA3TKW77mI4gU60pJj5lqMJLqa44jk3odgz1uCuN90mJBRKQVpIAXhShgCjJc5gsFOsSmsVgwXlIbGeCA==","signature_status":"signed_v1","signed_at":"2026-05-18T00:11:56.055481Z","signed_message":"canonical_sha256_bytes"},"source_id":"1807.00119","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:afbd098dbcf0b8e74a9fda33d5c01fb39f39eeab40506276574157ee26fb7d94","sha256:acd4fff906503323f66d78ce09962c15a3ba11fa9113830222222e05ad83c874"],"state_sha256":"47936e22ffdb6f0645e970fb1cebee8b1e39a6f1f1098ac001f5fb2ebd67a245"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"xi497CcNA6IKmel0lrKw3ZbwyIYpPl+KO8+koj+G+YecMOhFtw/QzoXfXNzyWBY0hhQMVADIxiB03VeeZrVECw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-11T03:03:43.187841Z","bundle_sha256":"ed63b3e1cdd69ab696a4d3c66bcc9f629f305847b0d51b33faa9cc0a5bb77c56"}}