{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:DQ67ZWY3XGJPDCLMZOL5RLJ26A","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":"aff5c0782caa7f9f3489a85238a7b6635e49cf3c5c3ed8dab4bbde3af939b4b3","cross_cats_sorted":["cs.CV","cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2026-07-18T00:28:57Z","title_canon_sha256":"ee3ab6f4d10d7117437c566c58224a7d5d194fc9efa73631d386f2f0c1401f35"},"schema_version":"1.0","source":{"id":"2607.22697","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2607.22697","created_at":"2026-07-28T00:21:49Z"},{"alias_kind":"arxiv_version","alias_value":"2607.22697v1","created_at":"2026-07-28T00:21:49Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2607.22697","created_at":"2026-07-28T00:21:49Z"},{"alias_kind":"pith_short_12","alias_value":"DQ67ZWY3XGJP","created_at":"2026-07-28T00:21:49Z"},{"alias_kind":"pith_short_16","alias_value":"DQ67ZWY3XGJPDCLM","created_at":"2026-07-28T00:21:49Z"},{"alias_kind":"pith_short_8","alias_value":"DQ67ZWY3","created_at":"2026-07-28T00:21:49Z"}],"graph_snapshots":[{"event_id":"sha256:0644b8dcc64422383f49552fced0cc19520b407214ce2ecbd266454acfe80140","target":"graph","created_at":"2026-07-28T00:21:49Z","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/2607.22697/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Deployed AI systems are often trained from broad candidate data pools, necessitating data curation towards the deployment test distribution. However, standard data curation methods score training-side criteria rather than directly optimizing deployment match. We introduce TTCov (Test-Time Coverage), a data-level test-conditioned curation method that uses test-side information before training instead of updating model weights at inference. TTCov decomposes deployment-conditioned curation into coverage and distribution. To represent coverage, it builds a task Atlas, a collection of LLM-based ato","authors_text":"Jialiang Wang, Jingde Chen, Jose M. Alvarez, Maying Shen, Nadine Chang, Pavlo Molchanov, Rafid Mahmood, Shizhe Diao, Thomas Breuel","cross_cats":["cs.CV","cs.LG"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2026-07-18T00:28:57Z","title":"Test-Time Coverage: Test-Conditioned Data Curation for Deployment-Aware Learning"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2607.22697","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":"sha256:2c2cbef1b8a085ad2ea4d8c2fe5f6f3c2dbe96a40807697e376853209adf96c4","target":"record","created_at":"2026-07-28T00:21:49Z","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":"aff5c0782caa7f9f3489a85238a7b6635e49cf3c5c3ed8dab4bbde3af939b4b3","cross_cats_sorted":["cs.CV","cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2026-07-18T00:28:57Z","title_canon_sha256":"ee3ab6f4d10d7117437c566c58224a7d5d194fc9efa73631d386f2f0c1401f35"},"schema_version":"1.0","source":{"id":"2607.22697","kind":"arxiv","version":1}},"canonical_sha256":"1c3dfcdb1bb992f1896ccb97d8ad3af0389bfcbfa74a014e78ca6e6673600515","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"1c3dfcdb1bb992f1896ccb97d8ad3af0389bfcbfa74a014e78ca6e6673600515","first_computed_at":"2026-07-28T00:21:49.657308Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-28T00:21:49.657308Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"/aQhqVnb5H8kjbP4L71EPh3rNdrNPpY93KXTWJi2Gk0hNRLqdzakn6+uxC6bqtLuVYW6hEMRrU+4vuZfWvjtAw==","signature_status":"signed_v1","signed_at":"2026-07-28T00:21:49.658154Z","signed_message":"canonical_sha256_bytes"},"source_id":"2607.22697","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:2c2cbef1b8a085ad2ea4d8c2fe5f6f3c2dbe96a40807697e376853209adf96c4","sha256:0644b8dcc64422383f49552fced0cc19520b407214ce2ecbd266454acfe80140"],"state_sha256":"01cc7ff10c03b546a0abbbeac9e91fb1465c5da7cb1f0ae1dd495d6736baaff0"}