{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:4ZZMRZBSM7VC6KJWOV77LRMHVB","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":"95793ee39a8388f6ae002bdd8fb99241592379b4cd023a3c49cac1fd4b3eb8da","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2024-12-23T16:10:07Z","title_canon_sha256":"240071d048e07520c4fcfed84311d8953e7370b3587ad8918835b6aa656d2461"},"schema_version":"1.0","source":{"id":"2412.17684","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2412.17684","created_at":"2026-07-05T10:41:19Z"},{"alias_kind":"arxiv_version","alias_value":"2412.17684v2","created_at":"2026-07-05T10:41:19Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2412.17684","created_at":"2026-07-05T10:41:19Z"},{"alias_kind":"pith_short_12","alias_value":"4ZZMRZBSM7VC","created_at":"2026-07-05T10:41:19Z"},{"alias_kind":"pith_short_16","alias_value":"4ZZMRZBSM7VC6KJW","created_at":"2026-07-05T10:41:19Z"},{"alias_kind":"pith_short_8","alias_value":"4ZZMRZBS","created_at":"2026-07-05T10:41:19Z"}],"graph_snapshots":[{"event_id":"sha256:8cf5a36999261a892a52d0a8772c5879834d8f1625c9ac36b30c9df56cdffead","target":"graph","created_at":"2026-07-05T10:41:19Z","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/2412.17684/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Retrieval augmentation, the practice of retrieving additional data from large auxiliary pools, has emerged as an effective technique for enhancing model performance in the low-data regime. Prior approaches have employed only nearest-neighbor based strategies for data selection, which retrieve auxiliary samples with high similarity to instances in the target task. However, these approaches are prone to selecting highly redundant samples, since they fail to incorporate any notion of diversity. In our work, we first demonstrate that data selection strategies used in prior retrieval-augmented few-","authors_text":"Arnav M. Das, Gantavya Bhatt, Jeff Bilmes, Lilly Kumari, Sahil Verma","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2024-12-23T16:10:07Z","title":"COBRA: COmBinatorial Retrieval Augmentation for Few-Shot Adaptation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2412.17684","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:f638b097e9efb757eb18238da5b82f33cf43cda84ffc8443678c2f7192881e0f","target":"record","created_at":"2026-07-05T10:41:19Z","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":"95793ee39a8388f6ae002bdd8fb99241592379b4cd023a3c49cac1fd4b3eb8da","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2024-12-23T16:10:07Z","title_canon_sha256":"240071d048e07520c4fcfed84311d8953e7370b3587ad8918835b6aa656d2461"},"schema_version":"1.0","source":{"id":"2412.17684","kind":"arxiv","version":2}},"canonical_sha256":"e672c8e43267ea2f2936757ff5c587a8434ac50b5242797ba31b147cc0766728","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"e672c8e43267ea2f2936757ff5c587a8434ac50b5242797ba31b147cc0766728","first_computed_at":"2026-07-05T10:41:19.233881Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:41:19.233881Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"LUftjYQjOp+hw0fW4meY43hfIObmm5HFZXEoLjEO7/OwIzZLmOG68nSxQcuorMRfLWGSS0Dpx8uMyFpBAhnsBQ==","signature_status":"signed_v1","signed_at":"2026-07-05T10:41:19.234362Z","signed_message":"canonical_sha256_bytes"},"source_id":"2412.17684","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:f638b097e9efb757eb18238da5b82f33cf43cda84ffc8443678c2f7192881e0f","sha256:8cf5a36999261a892a52d0a8772c5879834d8f1625c9ac36b30c9df56cdffead"],"state_sha256":"3954216db591a8baa78ef9a0310c0998ebd36ca6a05500a1d5ce7757ae210865"}