{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:M462MIGSMTE7RLQYFWOT5PPHJY","short_pith_number":"pith:M462MIGS","canonical_record":{"source":{"id":"2405.17913","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-05-28T07:33:27Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"955e486c0bbc18a90692205718a7b56a68ef5aedbc35c9c7249f26518b3a2016","abstract_canon_sha256":"79e8e94fec47809b0490a23b9bce6b1a0ad0b90fe19abf71f113e53dda01a1fa"},"schema_version":"1.0"},"canonical_sha256":"673da620d264c9f8ae182d9d3ebde74e39080dd42cb70238a5a42ad49b216994","source":{"kind":"arxiv","id":"2405.17913","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2405.17913","created_at":"2026-07-05T08:57:38Z"},{"alias_kind":"arxiv_version","alias_value":"2405.17913v2","created_at":"2026-07-05T08:57:38Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2405.17913","created_at":"2026-07-05T08:57:38Z"},{"alias_kind":"pith_short_12","alias_value":"M462MIGSMTE7","created_at":"2026-07-05T08:57:38Z"},{"alias_kind":"pith_short_16","alias_value":"M462MIGSMTE7RLQY","created_at":"2026-07-05T08:57:38Z"},{"alias_kind":"pith_short_8","alias_value":"M462MIGS","created_at":"2026-07-05T08:57:38Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:M462MIGSMTE7RLQYFWOT5PPHJY","target":"record","payload":{"canonical_record":{"source":{"id":"2405.17913","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-05-28T07:33:27Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"955e486c0bbc18a90692205718a7b56a68ef5aedbc35c9c7249f26518b3a2016","abstract_canon_sha256":"79e8e94fec47809b0490a23b9bce6b1a0ad0b90fe19abf71f113e53dda01a1fa"},"schema_version":"1.0"},"canonical_sha256":"673da620d264c9f8ae182d9d3ebde74e39080dd42cb70238a5a42ad49b216994","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T08:57:38.537560Z","signature_b64":"oRNBcOkBry8mRXntHqeHPgBO1HRY0LPBCJw0egvJITepap9GKOtvttw0BEBojyQcD67GN+uG2+PInfFN3qg7Cg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"673da620d264c9f8ae182d9d3ebde74e39080dd42cb70238a5a42ad49b216994","last_reissued_at":"2026-07-05T08:57:38.537076Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T08:57:38.537076Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2405.17913","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T08:57:38Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"N3kS41oonIv1BR2hIv3CYAnwx6K2D5/FA0MajixYWc+Q8IiP1OFVclrSJTJ2bXamG4SBWVdHHeVp02yA2e01BQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-17T03:20:01.815699Z"},"content_sha256":"ca31ca6e29d39987a0402b772097514fac53379caaab094a113c8f6d5fee0899","schema_version":"1.0","event_id":"sha256:ca31ca6e29d39987a0402b772097514fac53379caaab094a113c8f6d5fee0899"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:M462MIGSMTE7RLQYFWOT5PPHJY","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"OV-DQUO: Open-Vocabulary DETR with Denoising Text Query Training and Open-World Unknown Objects Supervision","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.CV","authors_text":"Bin Chen, Bin Kang, Huifeng Chang, Junjie Wang, Weizhi Xian, YiChi Chen, Yong Xu, Yulin Li","submitted_at":"2024-05-28T07:33:27Z","abstract_excerpt":"Open-vocabulary detection aims to detect objects from novel categories beyond the base categories on which the detector is trained. However, existing open-vocabulary detectors trained on base category data tend to assign higher confidence to trained categories and confuse novel categories with the background. To resolve this, we propose OV-DQUO, an \\textbf{O}pen-\\textbf{V}ocabulary DETR with \\textbf{D}enoising text \\textbf{Q}uery training and open-world \\textbf{U}nknown \\textbf{O}bjects supervision. Specifically, we introduce a wildcard matching method. This method enables the detector to lear"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2405.17913","kind":"arxiv","version":2},"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/2405.17913/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"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T08:57:38Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"vrP3Zw1bJL5KkGoC+sK9VXUt99FVOA+1H+Sh6xI8kFNVfNjSUUxvcQsTLPGL3HCh7OC9V56d1WyBc22eGM5uAg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-17T03:20:01.817497Z"},"content_sha256":"fa4b55958e027388ba77e7ad72f8445d64c34cde629af66e2bcf357c6955a91d","schema_version":"1.0","event_id":"sha256:fa4b55958e027388ba77e7ad72f8445d64c34cde629af66e2bcf357c6955a91d"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/M462MIGSMTE7RLQYFWOT5PPHJY/bundle.json","state_url":"https://pith.science/pith/M462MIGSMTE7RLQYFWOT5PPHJY/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/M462MIGSMTE7RLQYFWOT5PPHJY/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":"2026-08-17T03:20:01Z","links":{"resolver":"https://pith.science/pith/M462MIGSMTE7RLQYFWOT5PPHJY","bundle":"https://pith.science/pith/M462MIGSMTE7RLQYFWOT5PPHJY/bundle.json","state":"https://pith.science/pith/M462MIGSMTE7RLQYFWOT5PPHJY/state.json","well_known_bundle":"https://pith.science/.well-known/pith/M462MIGSMTE7RLQYFWOT5PPHJY/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:M462MIGSMTE7RLQYFWOT5PPHJY","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":"79e8e94fec47809b0490a23b9bce6b1a0ad0b90fe19abf71f113e53dda01a1fa","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-05-28T07:33:27Z","title_canon_sha256":"955e486c0bbc18a90692205718a7b56a68ef5aedbc35c9c7249f26518b3a2016"},"schema_version":"1.0","source":{"id":"2405.17913","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2405.17913","created_at":"2026-07-05T08:57:38Z"},{"alias_kind":"arxiv_version","alias_value":"2405.17913v2","created_at":"2026-07-05T08:57:38Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2405.17913","created_at":"2026-07-05T08:57:38Z"},{"alias_kind":"pith_short_12","alias_value":"M462MIGSMTE7","created_at":"2026-07-05T08:57:38Z"},{"alias_kind":"pith_short_16","alias_value":"M462MIGSMTE7RLQY","created_at":"2026-07-05T08:57:38Z"},{"alias_kind":"pith_short_8","alias_value":"M462MIGS","created_at":"2026-07-05T08:57:38Z"}],"graph_snapshots":[{"event_id":"sha256:fa4b55958e027388ba77e7ad72f8445d64c34cde629af66e2bcf357c6955a91d","target":"graph","created_at":"2026-07-05T08:57:38Z","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/2405.17913/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Open-vocabulary detection aims to detect objects from novel categories beyond the base categories on which the detector is trained. However, existing open-vocabulary detectors trained on base category data tend to assign higher confidence to trained categories and confuse novel categories with the background. To resolve this, we propose OV-DQUO, an \\textbf{O}pen-\\textbf{V}ocabulary DETR with \\textbf{D}enoising text \\textbf{Q}uery training and open-world \\textbf{U}nknown \\textbf{O}bjects supervision. Specifically, we introduce a wildcard matching method. This method enables the detector to lear","authors_text":"Bin Chen, Bin Kang, Huifeng Chang, Junjie Wang, Weizhi Xian, YiChi Chen, Yong Xu, Yulin Li","cross_cats":["cs.AI"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-05-28T07:33:27Z","title":"OV-DQUO: Open-Vocabulary DETR with Denoising Text Query Training and Open-World Unknown Objects Supervision"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2405.17913","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:ca31ca6e29d39987a0402b772097514fac53379caaab094a113c8f6d5fee0899","target":"record","created_at":"2026-07-05T08:57:38Z","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":"79e8e94fec47809b0490a23b9bce6b1a0ad0b90fe19abf71f113e53dda01a1fa","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-05-28T07:33:27Z","title_canon_sha256":"955e486c0bbc18a90692205718a7b56a68ef5aedbc35c9c7249f26518b3a2016"},"schema_version":"1.0","source":{"id":"2405.17913","kind":"arxiv","version":2}},"canonical_sha256":"673da620d264c9f8ae182d9d3ebde74e39080dd42cb70238a5a42ad49b216994","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"673da620d264c9f8ae182d9d3ebde74e39080dd42cb70238a5a42ad49b216994","first_computed_at":"2026-07-05T08:57:38.537076Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:57:38.537076Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"oRNBcOkBry8mRXntHqeHPgBO1HRY0LPBCJw0egvJITepap9GKOtvttw0BEBojyQcD67GN+uG2+PInfFN3qg7Cg==","signature_status":"signed_v1","signed_at":"2026-07-05T08:57:38.537560Z","signed_message":"canonical_sha256_bytes"},"source_id":"2405.17913","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:ca31ca6e29d39987a0402b772097514fac53379caaab094a113c8f6d5fee0899","sha256:fa4b55958e027388ba77e7ad72f8445d64c34cde629af66e2bcf357c6955a91d"],"state_sha256":"8a98e3f6c6b4133159d29d49bec902809542ab90e9ae0f610d93aadbacf6c79c"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"4vXHjAWoPjVkdUL70bCNnj0aEpZnQfcPg/IuUZjwRjkRITI5LeI5TChGy4CSUoB4RYxWX2oxIQC0Ugxe7az+Dg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-17T03:20:01.825621Z","bundle_sha256":"fe2e503eedb3dcd16138d9954cfa22babb1831e81bdc5afe43d25cc9af4555aa"}}