{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2022:C5KGWJNDFABC2WP5WENZPHA3BO","short_pith_number":"pith:C5KGWJND","canonical_record":{"source":{"id":"2204.05991","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2022-04-12T17:55:38Z","cross_cats_sorted":["cs.CL"],"title_canon_sha256":"71028221d7db8685e4eb2562f015bd8a188d70d246ebd8176390a4c3ef7adbf9","abstract_canon_sha256":"631d1ee0d72a1a5c547639578ff6025405dbcf1912efe4d5e24d36c0c9cc10e5"},"schema_version":"1.0"},"canonical_sha256":"17546b25a328022d59fdb11b979c1b0bba61c3babdfb2f4d6f52385bf60c2f31","source":{"kind":"arxiv","id":"2204.05991","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2204.05991","created_at":"2026-07-05T04:19:58Z"},{"alias_kind":"arxiv_version","alias_value":"2204.05991v2","created_at":"2026-07-05T04:19:58Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2204.05991","created_at":"2026-07-05T04:19:58Z"},{"alias_kind":"pith_short_12","alias_value":"C5KGWJNDFABC","created_at":"2026-07-05T04:19:58Z"},{"alias_kind":"pith_short_16","alias_value":"C5KGWJNDFABC2WP5","created_at":"2026-07-05T04:19:58Z"},{"alias_kind":"pith_short_8","alias_value":"C5KGWJND","created_at":"2026-07-05T04:19:58Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2022:C5KGWJNDFABC2WP5WENZPHA3BO","target":"record","payload":{"canonical_record":{"source":{"id":"2204.05991","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2022-04-12T17:55:38Z","cross_cats_sorted":["cs.CL"],"title_canon_sha256":"71028221d7db8685e4eb2562f015bd8a188d70d246ebd8176390a4c3ef7adbf9","abstract_canon_sha256":"631d1ee0d72a1a5c547639578ff6025405dbcf1912efe4d5e24d36c0c9cc10e5"},"schema_version":"1.0"},"canonical_sha256":"17546b25a328022d59fdb11b979c1b0bba61c3babdfb2f4d6f52385bf60c2f31","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T04:19:58.025087Z","signature_b64":"kqVPlTVhEu9Ds4M2ZAcAzl7WuYshlSQ+q/tCMJR/TcjGgjjvc8sT0R7NdDJVPcuT32ESuOA/f3AlBJZCqs0NCQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"17546b25a328022d59fdb11b979c1b0bba61c3babdfb2f4d6f52385bf60c2f31","last_reissued_at":"2026-07-05T04:19:58.024636Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T04:19:58.024636Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2204.05991","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":"2026-07-05T04:19:58Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"dL5V6DHbmyf2bx2M1+QRpeTVKyqSjRol6KRLoHLaZWpIA+f0PiEla6NHEIk8Owt/D0QRjyym56zxHRc1GfL/AA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-09T10:54:13.775406Z"},"content_sha256":"98ead2bef7678e9a4cb627b4c2c80538d9056a39b475280a798f33b1301f584a","schema_version":"1.0","event_id":"sha256:98ead2bef7678e9a4cb627b4c2c80538d9056a39b475280a798f33b1301f584a"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2022:C5KGWJNDFABC2WP5WENZPHA3BO","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"ReCLIP: A Strong Zero-Shot Baseline for Referring Expression Comprehension","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.CL"],"primary_cat":"cs.CV","authors_text":"Anna Rohrbach, Matt Gardner, Sameer Singh, Sanjay Subramanian, Trevor Darrell, William Merrill","submitted_at":"2022-04-12T17:55:38Z","abstract_excerpt":"Training a referring expression comprehension (ReC) model for a new visual domain requires collecting referring expressions, and potentially corresponding bounding boxes, for images in the domain. While large-scale pre-trained models are useful for image classification across domains, it remains unclear if they can be applied in a zero-shot manner to more complex tasks like ReC. We present ReCLIP, a simple but strong zero-shot baseline that repurposes CLIP, a state-of-the-art large-scale model, for ReC. Motivated by the close connection between ReC and CLIP's contrastive pre-training objective"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2204.05991","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/2204.05991/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":"2026-07-05T04:19:58Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"p81VvbfpGPFkBInJ5ZLVKE8BPmLL4k5GzH+yzWsQo9MEqKBuuTuZUu6qSXg8C0ytkizEFokFGhmrb8nONFNHDQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-09T10:54:13.776322Z"},"content_sha256":"bf5f2d358215534ab9296369753e1ea17b1d740eb3b0c3831311b0181976c5e5","schema_version":"1.0","event_id":"sha256:bf5f2d358215534ab9296369753e1ea17b1d740eb3b0c3831311b0181976c5e5"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/C5KGWJNDFABC2WP5WENZPHA3BO/bundle.json","state_url":"https://pith.science/pith/C5KGWJNDFABC2WP5WENZPHA3BO/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/C5KGWJNDFABC2WP5WENZPHA3BO/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":"2026-08-09T10:54:13Z","links":{"resolver":"https://pith.science/pith/C5KGWJNDFABC2WP5WENZPHA3BO","bundle":"https://pith.science/pith/C5KGWJNDFABC2WP5WENZPHA3BO/bundle.json","state":"https://pith.science/pith/C5KGWJNDFABC2WP5WENZPHA3BO/state.json","well_known_bundle":"https://pith.science/.well-known/pith/C5KGWJNDFABC2WP5WENZPHA3BO/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:C5KGWJNDFABC2WP5WENZPHA3BO","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":"631d1ee0d72a1a5c547639578ff6025405dbcf1912efe4d5e24d36c0c9cc10e5","cross_cats_sorted":["cs.CL"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2022-04-12T17:55:38Z","title_canon_sha256":"71028221d7db8685e4eb2562f015bd8a188d70d246ebd8176390a4c3ef7adbf9"},"schema_version":"1.0","source":{"id":"2204.05991","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2204.05991","created_at":"2026-07-05T04:19:58Z"},{"alias_kind":"arxiv_version","alias_value":"2204.05991v2","created_at":"2026-07-05T04:19:58Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2204.05991","created_at":"2026-07-05T04:19:58Z"},{"alias_kind":"pith_short_12","alias_value":"C5KGWJNDFABC","created_at":"2026-07-05T04:19:58Z"},{"alias_kind":"pith_short_16","alias_value":"C5KGWJNDFABC2WP5","created_at":"2026-07-05T04:19:58Z"},{"alias_kind":"pith_short_8","alias_value":"C5KGWJND","created_at":"2026-07-05T04:19:58Z"}],"graph_snapshots":[{"event_id":"sha256:bf5f2d358215534ab9296369753e1ea17b1d740eb3b0c3831311b0181976c5e5","target":"graph","created_at":"2026-07-05T04:19:58Z","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/2204.05991/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Training a referring expression comprehension (ReC) model for a new visual domain requires collecting referring expressions, and potentially corresponding bounding boxes, for images in the domain. While large-scale pre-trained models are useful for image classification across domains, it remains unclear if they can be applied in a zero-shot manner to more complex tasks like ReC. We present ReCLIP, a simple but strong zero-shot baseline that repurposes CLIP, a state-of-the-art large-scale model, for ReC. Motivated by the close connection between ReC and CLIP's contrastive pre-training objective","authors_text":"Anna Rohrbach, Matt Gardner, Sameer Singh, Sanjay Subramanian, Trevor Darrell, William Merrill","cross_cats":["cs.CL"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2022-04-12T17:55:38Z","title":"ReCLIP: A Strong Zero-Shot Baseline for Referring Expression Comprehension"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2204.05991","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":"sha256:98ead2bef7678e9a4cb627b4c2c80538d9056a39b475280a798f33b1301f584a","target":"record","created_at":"2026-07-05T04:19:58Z","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":"631d1ee0d72a1a5c547639578ff6025405dbcf1912efe4d5e24d36c0c9cc10e5","cross_cats_sorted":["cs.CL"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2022-04-12T17:55:38Z","title_canon_sha256":"71028221d7db8685e4eb2562f015bd8a188d70d246ebd8176390a4c3ef7adbf9"},"schema_version":"1.0","source":{"id":"2204.05991","kind":"arxiv","version":2}},"canonical_sha256":"17546b25a328022d59fdb11b979c1b0bba61c3babdfb2f4d6f52385bf60c2f31","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"17546b25a328022d59fdb11b979c1b0bba61c3babdfb2f4d6f52385bf60c2f31","first_computed_at":"2026-07-05T04:19:58.024636Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T04:19:58.024636Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"kqVPlTVhEu9Ds4M2ZAcAzl7WuYshlSQ+q/tCMJR/TcjGgjjvc8sT0R7NdDJVPcuT32ESuOA/f3AlBJZCqs0NCQ==","signature_status":"signed_v1","signed_at":"2026-07-05T04:19:58.025087Z","signed_message":"canonical_sha256_bytes"},"source_id":"2204.05991","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:98ead2bef7678e9a4cb627b4c2c80538d9056a39b475280a798f33b1301f584a","sha256:bf5f2d358215534ab9296369753e1ea17b1d740eb3b0c3831311b0181976c5e5"],"state_sha256":"3158de1e5b4bba33c76f6ade8f3ecdc7f79f47f367b86c4802a181cc9f9a0e2e"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"dfq+50dry8cwwIRlL2qVbHVNkKSdVh5HQwZCtOZcyjFlUjvAcjrfJPydgoXcUokHkLWghdgTmc/e/fwzSf7tDA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-09T10:54:13.783611Z","bundle_sha256":"b876fb861ab3b8e32a9e1b7e0b8003fef54aeeb06ad758f7b3b1dc38bdde708f"}}