{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2026:P3RMS6YRCSGIGK3LSEH3FJMGCR","short_pith_number":"pith:P3RMS6YR","schema_version":"1.0","canonical_sha256":"7ee2c97b11148c832b6b910fb2a586145d4357a6e0929af363303efb5045bb51","source":{"kind":"arxiv","id":"2606.05916","version":1},"attestation_state":"computed","paper":{"title":"Unveiling the Unknown: Open Vocabulary Object Detection with Scene Graphs","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Chenchen Yan, Chong Wang, Jiafei Wu, Jiangbo Qian, Yi Chen, Yinghao Lu, Zhehao Li","submitted_at":"2026-06-04T09:23:08Z","abstract_excerpt":"Open-vocabulary object detection seeks to identify novel object categories that were not part of the training data. Many knowledge distillation-based approaches have shown promising performance by transferring knowledge from pre-trained vision-language models to object detection. However, these methods often overlook structured, image-specific relationships between objects, such as interactions and spatial arrangements. This oversight can significantly restrict the effectiveness of detecting novel categories. To address this issue, we propose a Scene-guided Relational Modeling detection framew"},"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":"2606.05916","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2026-06-04T09:23:08Z","cross_cats_sorted":[],"title_canon_sha256":"c91c213f70ac2985e739803ef574185274b6ab597e11f7a1d6c7d01dbccfeb59","abstract_canon_sha256":"fafa8cfd2a7a037494ff16d2550a73c5a66257d084e1e116e4afbb5cca766792"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-06-05T01:15:27.394758Z","signature_b64":"+Quh7eGfUuYHqk9ztdPW9PzhUG/LqpdFk7SUTczA15sPXFRaJ7TZQaowU39kF8SkSzsAiG5YBgrN/YiO48+nBw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"7ee2c97b11148c832b6b910fb2a586145d4357a6e0929af363303efb5045bb51","last_reissued_at":"2026-06-05T01:15:27.394289Z","signature_status":"signed_v1","first_computed_at":"2026-06-05T01:15:27.394289Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Unveiling the Unknown: Open Vocabulary Object Detection with Scene Graphs","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Chenchen Yan, Chong Wang, Jiafei Wu, Jiangbo Qian, Yi Chen, Yinghao Lu, Zhehao Li","submitted_at":"2026-06-04T09:23:08Z","abstract_excerpt":"Open-vocabulary object detection seeks to identify novel object categories that were not part of the training data. Many knowledge distillation-based approaches have shown promising performance by transferring knowledge from pre-trained vision-language models to object detection. However, these methods often overlook structured, image-specific relationships between objects, such as interactions and spatial arrangements. This oversight can significantly restrict the effectiveness of detecting novel categories. To address this issue, we propose a Scene-guided Relational Modeling detection framew"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.05916","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/2606.05916/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":"2606.05916","created_at":"2026-06-05T01:15:27.394362+00:00"},{"alias_kind":"arxiv_version","alias_value":"2606.05916v1","created_at":"2026-06-05T01:15:27.394362+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.05916","created_at":"2026-06-05T01:15:27.394362+00:00"},{"alias_kind":"pith_short_12","alias_value":"P3RMS6YRCSGI","created_at":"2026-06-05T01:15:27.394362+00:00"},{"alias_kind":"pith_short_16","alias_value":"P3RMS6YRCSGIGK3L","created_at":"2026-06-05T01:15:27.394362+00:00"},{"alias_kind":"pith_short_8","alias_value":"P3RMS6YR","created_at":"2026-06-05T01:15:27.394362+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/P3RMS6YRCSGIGK3LSEH3FJMGCR","json":"https://pith.science/pith/P3RMS6YRCSGIGK3LSEH3FJMGCR.json","graph_json":"https://pith.science/api/pith-number/P3RMS6YRCSGIGK3LSEH3FJMGCR/graph.json","events_json":"https://pith.science/api/pith-number/P3RMS6YRCSGIGK3LSEH3FJMGCR/events.json","paper":"https://pith.science/paper/P3RMS6YR"},"agent_actions":{"view_html":"https://pith.science/pith/P3RMS6YRCSGIGK3LSEH3FJMGCR","download_json":"https://pith.science/pith/P3RMS6YRCSGIGK3LSEH3FJMGCR.json","view_paper":"https://pith.science/paper/P3RMS6YR","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2606.05916&json=true","fetch_graph":"https://pith.science/api/pith-number/P3RMS6YRCSGIGK3LSEH3FJMGCR/graph.json","fetch_events":"https://pith.science/api/pith-number/P3RMS6YRCSGIGK3LSEH3FJMGCR/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/P3RMS6YRCSGIGK3LSEH3FJMGCR/action/timestamp_anchor","attest_storage":"https://pith.science/pith/P3RMS6YRCSGIGK3LSEH3FJMGCR/action/storage_attestation","attest_author":"https://pith.science/pith/P3RMS6YRCSGIGK3LSEH3FJMGCR/action/author_attestation","sign_citation":"https://pith.science/pith/P3RMS6YRCSGIGK3LSEH3FJMGCR/action/citation_signature","submit_replication":"https://pith.science/pith/P3RMS6YRCSGIGK3LSEH3FJMGCR/action/replication_record"}},"created_at":"2026-06-05T01:15:27.394362+00:00","updated_at":"2026-06-05T01:15:27.394362+00:00"}