{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:7B5OBCV5TNQYTYFZWPV7HB4JMY","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":"b09a4354269779c088468af73ee0ed0a3acc485bd3af31adbb89c3a43d3f9dbb","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-10-23T08:13:33Z","title_canon_sha256":"f2eb2c9059433fcccdc9d19bd737b2333c0aa8356f96303a64963d766bbc2319"},"schema_version":"1.0","source":{"id":"2310.15200","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2310.15200","created_at":"2026-07-05T07:13:45Z"},{"alias_kind":"arxiv_version","alias_value":"2310.15200v2","created_at":"2026-07-05T07:13:45Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2310.15200","created_at":"2026-07-05T07:13:45Z"},{"alias_kind":"pith_short_12","alias_value":"7B5OBCV5TNQY","created_at":"2026-07-05T07:13:45Z"},{"alias_kind":"pith_short_16","alias_value":"7B5OBCV5TNQYTYFZ","created_at":"2026-07-05T07:13:45Z"},{"alias_kind":"pith_short_8","alias_value":"7B5OBCV5","created_at":"2026-07-05T07:13:45Z"}],"graph_snapshots":[{"event_id":"sha256:608309f33e329359012b85fe2c080754d13b09b884d44e636836c6f952421554","target":"graph","created_at":"2026-07-05T07:13:45Z","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/2310.15200/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"In this paper, we introduce the Recognize Anything Plus Model (RAM++), an open-set image tagging model effectively leveraging multi-grained text supervision. Previous approaches (e.g., CLIP) primarily utilize global text supervision paired with images, leading to sub-optimal performance in recognizing multiple individual semantic tags. In contrast, RAM++ seamlessly integrates individual tag supervision with global text supervision, all within a unified alignment framework. This integration not only ensures efficient recognition of predefined tag categories, but also enhances generalization cap","authors_text":"Lei Zhang, Rui Feng, Weiwei Tian, Xinyu Huang, Yanchun Xie, Yaqian Li, Yi-Jie Huang, Youcai Zhang, Yuejie Zhang","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-10-23T08:13:33Z","title":"Open-Set Image Tagging with Multi-Grained Text Supervision"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2310.15200","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":"sha256:2b40f478f620ee05c86a54e1944f88674003153c751d3ad6034016dfc7a25281","target":"record","created_at":"2026-07-05T07:13:45Z","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":"b09a4354269779c088468af73ee0ed0a3acc485bd3af31adbb89c3a43d3f9dbb","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-10-23T08:13:33Z","title_canon_sha256":"f2eb2c9059433fcccdc9d19bd737b2333c0aa8356f96303a64963d766bbc2319"},"schema_version":"1.0","source":{"id":"2310.15200","kind":"arxiv","version":2}},"canonical_sha256":"f87ae08abd9b6189e0b9b3ebf387896638208e47226f5c6c9ed6dd9105e53927","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"f87ae08abd9b6189e0b9b3ebf387896638208e47226f5c6c9ed6dd9105e53927","first_computed_at":"2026-07-05T07:13:45.365120Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T07:13:45.365120Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"4DQV9hsgKBOmDK+gP1LxCxti4XbmKn/c2DvJ//b4E/rfHn782MUqwmNGY+cEi5+nXDbr4+EC5AlKUewrlwkMCQ==","signature_status":"signed_v1","signed_at":"2026-07-05T07:13:45.365580Z","signed_message":"canonical_sha256_bytes"},"source_id":"2310.15200","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:2b40f478f620ee05c86a54e1944f88674003153c751d3ad6034016dfc7a25281","sha256:608309f33e329359012b85fe2c080754d13b09b884d44e636836c6f952421554"],"state_sha256":"c2d43f177b9ffecbb9c1563ff1d5e360f287a61ac27759611cab846504c9b025"}