{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:O5GJ2PG64TFBDCUY7TH7MY4PFA","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":"42dd8c71810642ea8f8fff91594b20e38f261885c4197c86f3ce490b06922045","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-10-12T11:59:54Z","title_canon_sha256":"833e982e784a931e7d1906b35552b0e4ac236e4f0a9cf989a4386bb50ccd8567"},"schema_version":"1.0","source":{"id":"2310.08255","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2310.08255","created_at":"2026-07-05T07:54:04Z"},{"alias_kind":"arxiv_version","alias_value":"2310.08255v2","created_at":"2026-07-05T07:54:04Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2310.08255","created_at":"2026-07-05T07:54:04Z"},{"alias_kind":"pith_short_12","alias_value":"O5GJ2PG64TFB","created_at":"2026-07-05T07:54:04Z"},{"alias_kind":"pith_short_16","alias_value":"O5GJ2PG64TFBDCUY","created_at":"2026-07-05T07:54:04Z"},{"alias_kind":"pith_short_8","alias_value":"O5GJ2PG6","created_at":"2026-07-05T07:54:04Z"}],"graph_snapshots":[{"event_id":"sha256:4ad8c19b55310fd3b5310d5b9e8bc047fc17284e26703282bedc724ba8b0c0b7","target":"graph","created_at":"2026-07-05T07:54:04Z","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/2310.08255/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Vision-Language Models (VLMs) such as CLIP are trained on large amounts of image-text pairs, resulting in remarkable generalization across several data distributions. However, in several cases, their expensive training and data collection/curation costs do not justify the end application. This motivates a vendor-client paradigm, where a vendor trains a large-scale VLM and grants only input-output access to clients on a pay-per-query basis in a black-box setting. The client aims to minimize inference cost by distilling the VLM to a student model using the limited available task-specific data, a","authors_text":"Ashish Ramayee Asokan, Lakshay Sharma, R. Venkatesh Babu, Sravanti Addepalli","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-10-12T11:59:54Z","title":"Leveraging Vision-Language Models for Improving Domain Generalization in Image Classification"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2310.08255","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:ea501bb0ee5d3415d7cd97cd64d4f9458cc36ac5827c541b62cbcaa758bb2f33","target":"record","created_at":"2026-07-05T07:54:04Z","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":"42dd8c71810642ea8f8fff91594b20e38f261885c4197c86f3ce490b06922045","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-10-12T11:59:54Z","title_canon_sha256":"833e982e784a931e7d1906b35552b0e4ac236e4f0a9cf989a4386bb50ccd8567"},"schema_version":"1.0","source":{"id":"2310.08255","kind":"arxiv","version":2}},"canonical_sha256":"774c9d3cdee4ca118a98fccff6638f2808472b25acb047f400e25564694c1c53","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"774c9d3cdee4ca118a98fccff6638f2808472b25acb047f400e25564694c1c53","first_computed_at":"2026-07-05T07:54:04.777339Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T07:54:04.777339Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"SOJ3SbL6jsCuKYByisq1r6gEHjMjQnRp3BXUeEPHUDhQl31Lf+9Lp/Tkeu1PV+RlfT1fZUBOS5+/kMy5kVbBCw==","signature_status":"signed_v1","signed_at":"2026-07-05T07:54:04.777841Z","signed_message":"canonical_sha256_bytes"},"source_id":"2310.08255","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:ea501bb0ee5d3415d7cd97cd64d4f9458cc36ac5827c541b62cbcaa758bb2f33","sha256:4ad8c19b55310fd3b5310d5b9e8bc047fc17284e26703282bedc724ba8b0c0b7"],"state_sha256":"b695afc9d8042e3fe551f2b2ccf4cb5fdaac7568cae1e21b78b70e13f22198fe"}