{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:KKMR25OZXR6HEC67VNYFT4DLN2","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":"2c7dfaf7e8fdc48688fdf3e9b7375427c63f1dde732bc81135a2d9c464886edd","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-03-14T17:35:32Z","title_canon_sha256":"e0d2f5596c44b416c18af10cd688356f87543ad928eb4eb0ba4ad5da49dad324"},"schema_version":"1.0","source":{"id":"2403.09593","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2403.09593","created_at":"2026-07-05T08:22:38Z"},{"alias_kind":"arxiv_version","alias_value":"2403.09593v2","created_at":"2026-07-05T08:22:38Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2403.09593","created_at":"2026-07-05T08:22:38Z"},{"alias_kind":"pith_short_12","alias_value":"KKMR25OZXR6H","created_at":"2026-07-05T08:22:38Z"},{"alias_kind":"pith_short_16","alias_value":"KKMR25OZXR6HEC67","created_at":"2026-07-05T08:22:38Z"},{"alias_kind":"pith_short_8","alias_value":"KKMR25OZ","created_at":"2026-07-05T08:22:38Z"}],"graph_snapshots":[{"event_id":"sha256:e40ca76b00e16c6fb9738982708fa2b0eb05eaec73cf5e90a1b77d6d3bbca916","target":"graph","created_at":"2026-07-05T08:22:38Z","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/2403.09593/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Names are essential to both human cognition and vision-language models. Open-vocabulary models utilize class names as text prompts to generalize to categories unseen during training. However, the precision of these names is often overlooked in existing datasets. In this paper, we address this underexplored problem by presenting a framework for \"renovating\" names in open-vocabulary segmentation benchmarks (RENOVATE). Our framework features a renaming model that enhances the quality of names for each visual segment. Through experiments, we demonstrate that our renovated names help train stronger","authors_text":"Andreas Geiger, Dan Zhang, Haiwen Huang, Songyou Peng","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-03-14T17:35:32Z","title":"Renovating Names in Open-Vocabulary Segmentation Benchmarks"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2403.09593","kind":"arxiv","version":2},"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:c173fba3b7741cf5bdb3b4d87674e445fff9042e3b7d49eae1286416e61b4227","target":"record","created_at":"2026-07-05T08:22:38Z","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":"2c7dfaf7e8fdc48688fdf3e9b7375427c63f1dde732bc81135a2d9c464886edd","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-03-14T17:35:32Z","title_canon_sha256":"e0d2f5596c44b416c18af10cd688356f87543ad928eb4eb0ba4ad5da49dad324"},"schema_version":"1.0","source":{"id":"2403.09593","kind":"arxiv","version":2}},"canonical_sha256":"52991d75d9bc7c720bdfab7059f06b6eb04d4e27ba89078cab2246f6326c7499","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"52991d75d9bc7c720bdfab7059f06b6eb04d4e27ba89078cab2246f6326c7499","first_computed_at":"2026-07-05T08:22:38.628605Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:22:38.628605Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"KnbSa+rvlZFyELeZycVy0VpikQypQaHana7ckPQsOWf4Fw+TB2ww2ruD9Eg8bf70o8fzKIdRk2V5Dm8ZLQOjAw==","signature_status":"signed_v1","signed_at":"2026-07-05T08:22:38.629139Z","signed_message":"canonical_sha256_bytes"},"source_id":"2403.09593","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:c173fba3b7741cf5bdb3b4d87674e445fff9042e3b7d49eae1286416e61b4227","sha256:e40ca76b00e16c6fb9738982708fa2b0eb05eaec73cf5e90a1b77d6d3bbca916"],"state_sha256":"7a54bf8772f4a0ffa41a7786bc7b611a08150613e474619bf2226223bf8c6d51"}