{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:IP3GGVE25O5BQW3HUGHA3SYXDO","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":"1022d5ea58665e1bf9d4bfb3d402f69cabf58705f97139345f1f2dfe9010f545","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2026-07-02T06:18:44Z","title_canon_sha256":"9eb3d52c26917f0e13489e6cdedbe4e6ac3d29e8b6c4390f7de103c34d21e961"},"schema_version":"1.0","source":{"id":"2607.01759","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2607.01759","created_at":"2026-07-03T01:17:28Z"},{"alias_kind":"arxiv_version","alias_value":"2607.01759v1","created_at":"2026-07-03T01:17:28Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2607.01759","created_at":"2026-07-03T01:17:28Z"},{"alias_kind":"pith_short_12","alias_value":"IP3GGVE25O5B","created_at":"2026-07-03T01:17:28Z"},{"alias_kind":"pith_short_16","alias_value":"IP3GGVE25O5BQW3H","created_at":"2026-07-03T01:17:28Z"},{"alias_kind":"pith_short_8","alias_value":"IP3GGVE2","created_at":"2026-07-03T01:17:28Z"}],"graph_snapshots":[{"event_id":"sha256:bb6fbdaed1fc00cae4cfd8f0bbe5463f5267352d8369ff4c4619ef35a4cbd7df","target":"graph","created_at":"2026-07-03T01:17:28Z","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"},"integrity":{"available":true,"clean":true,"detectors_run":[],"endpoint":"/pith/2607.01759/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Open-vocabulary object detection aims to localize and classify objects beyond the fixed set of categories seen dur ing training. Recent open-vocabulary object detection methods improve localization and classification for unseen categories by leveraging a frozen VLM as a detector backbone. However, VLM classification score lacks recognizing position and scale of the object in an image. We observe that pretrained VLMs en able to classify foreground and background regions. According to this observation, we propose a simple inference-time Pro posal Calibration (ProCal) that improves localization q","authors_text":"Ho-Joong Kim, Jae-Ryung Hong, Seong-Whan Lee","cross_cats":["cs.AI"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2026-07-02T06:18:44Z","title":"ProCal: Inference-Time Proposal Calibration for Open-Vocabulary Object Detection"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2607.01759","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":"sha256:5e3e10b9437e53a1433bc5c376587d684630f4f745245c4824ae3690a5fcb2f9","target":"record","created_at":"2026-07-03T01:17:28Z","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":"1022d5ea58665e1bf9d4bfb3d402f69cabf58705f97139345f1f2dfe9010f545","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2026-07-02T06:18:44Z","title_canon_sha256":"9eb3d52c26917f0e13489e6cdedbe4e6ac3d29e8b6c4390f7de103c34d21e961"},"schema_version":"1.0","source":{"id":"2607.01759","kind":"arxiv","version":1}},"canonical_sha256":"43f663549aebba185b67a18e0dcb171bbfec428571883ee364ba8121df848a1a","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"43f663549aebba185b67a18e0dcb171bbfec428571883ee364ba8121df848a1a","first_computed_at":"2026-07-03T01:17:28.705746Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-03T01:17:28.705746Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"8tgWIzC6zcW0naoKHugiWITku6bStzy5/JF4P71bZNil8K+/p90T5zy5btExnalBldTIuSHf8kQcMKdkm/rjAA==","signature_status":"signed_v1","signed_at":"2026-07-03T01:17:28.706162Z","signed_message":"canonical_sha256_bytes"},"source_id":"2607.01759","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:5e3e10b9437e53a1433bc5c376587d684630f4f745245c4824ae3690a5fcb2f9","sha256:bb6fbdaed1fc00cae4cfd8f0bbe5463f5267352d8369ff4c4619ef35a4cbd7df"],"state_sha256":"43bb515908173fbe7f3d9dbbcc75347496c6d04a7b9fa40f4600ca472d7f4280"}