{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2021:57VQMYTBLFPAP5VU4ZOX2GM5KS","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":"19e54301e8655aacf216be00c8a582646d3993934e8a31311b62cc08b1a0c982","cross_cats_sorted":["cs.CL"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2021-11-22T18:59:34Z","title_canon_sha256":"ae2a2fd5ac9f81b085d9346ee47f1e5d74791e33df6794863d40b025e83be51a"},"schema_version":"1.0","source":{"id":"2111.11431","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2111.11431","created_at":"2026-07-05T03:34:03Z"},{"alias_kind":"arxiv_version","alias_value":"2111.11431v1","created_at":"2026-07-05T03:34:03Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2111.11431","created_at":"2026-07-05T03:34:03Z"},{"alias_kind":"pith_short_12","alias_value":"57VQMYTBLFPA","created_at":"2026-07-05T03:34:03Z"},{"alias_kind":"pith_short_16","alias_value":"57VQMYTBLFPAP5VU","created_at":"2026-07-05T03:34:03Z"},{"alias_kind":"pith_short_8","alias_value":"57VQMYTB","created_at":"2026-07-05T03:34:03Z"}],"graph_snapshots":[{"event_id":"sha256:61da944304134cc0ca8e9726eb4378b3679e77413646d214cf78f1fdcfa814cb","target":"graph","created_at":"2026-07-05T03:34:03Z","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/2111.11431/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Large datasets of paired images and text have become increasingly popular for learning generic representations for vision and vision-and-language tasks. Such datasets have been built by querying search engines or collecting HTML alt-text -- since web data is noisy, they require complex filtering pipelines to maintain quality. We explore alternate data sources to collect high quality data with minimal filtering. We introduce RedCaps -- a large-scale dataset of 12M image-text pairs collected from Reddit. Images and captions from Reddit depict and describe a wide variety of objects and scenes. We","authors_text":"Gaurav Kaul, Justin Johnson, Karan Desai, Zubin Aysola","cross_cats":["cs.CL"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2021-11-22T18:59:34Z","title":"RedCaps: web-curated image-text data created by the people, for the people"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2111.11431","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":"sha256:41dd62e816a653f3e8ba82adaa7b6df9dd2ca7bde497a7bc260894a78fae583c","target":"record","created_at":"2026-07-05T03:34:03Z","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":"19e54301e8655aacf216be00c8a582646d3993934e8a31311b62cc08b1a0c982","cross_cats_sorted":["cs.CL"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2021-11-22T18:59:34Z","title_canon_sha256":"ae2a2fd5ac9f81b085d9346ee47f1e5d74791e33df6794863d40b025e83be51a"},"schema_version":"1.0","source":{"id":"2111.11431","kind":"arxiv","version":1}},"canonical_sha256":"efeb066261595e07f6b4e65d7d199d54946d0d9627bc68cbf7f3db516362d04a","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"efeb066261595e07f6b4e65d7d199d54946d0d9627bc68cbf7f3db516362d04a","first_computed_at":"2026-07-05T03:34:03.553492Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T03:34:03.553492Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"Y+7iM9UHez8RLk38npgo7NDnHmCGXhhFUQmV++Zx8L2nFIS7AJk9/elGcxjNJ2zx+wBPgBWKi4KJ5G0vopSNBw==","signature_status":"signed_v1","signed_at":"2026-07-05T03:34:03.553962Z","signed_message":"canonical_sha256_bytes"},"source_id":"2111.11431","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:41dd62e816a653f3e8ba82adaa7b6df9dd2ca7bde497a7bc260894a78fae583c","sha256:61da944304134cc0ca8e9726eb4378b3679e77413646d214cf78f1fdcfa814cb"],"state_sha256":"8a7cbc2b006645e93b44e28921a93139179063cc6e2c1bf35624de13adff270d"}