{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:N7GCV265G4PZNBQEB654QR636O","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":"1c42ad511ec1bb418032054690619acdd4b9915f7a11795be397c4cf2d449e72","cross_cats_sorted":["cs.AI","cs.CL"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2024-10-21T17:11:21Z","title_canon_sha256":"63602bde42e74168df4e3bc6f9399585014689c66a5f3920e60765551961ac1c"},"schema_version":"1.0","source":{"id":"2410.16208","kind":"arxiv","version":4}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2410.16208","created_at":"2026-07-05T10:45:38Z"},{"alias_kind":"arxiv_version","alias_value":"2410.16208v4","created_at":"2026-07-05T10:45:38Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2410.16208","created_at":"2026-07-05T10:45:38Z"},{"alias_kind":"pith_short_12","alias_value":"N7GCV265G4PZ","created_at":"2026-07-05T10:45:38Z"},{"alias_kind":"pith_short_16","alias_value":"N7GCV265G4PZNBQE","created_at":"2026-07-05T10:45:38Z"},{"alias_kind":"pith_short_8","alias_value":"N7GCV265","created_at":"2026-07-05T10:45:38Z"}],"graph_snapshots":[{"event_id":"sha256:8080f8f86826e14a309a33b4e91b96a170125d242817a6d4e68fac13161be54d","target":"graph","created_at":"2026-07-05T10:45:38Z","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/2410.16208/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Data selection can reduce the amount of training data needed to finetune LLMs; however, the efficacy of data selection scales directly with its compute. Motivated by the practical challenge of compute-constrained finetuning, we consider the setting in which both the cost of selecting data and training are budgeted for. We first formalize the problem of data selection with a cost-aware utility function, and model the data selection problem as trading off initial-selection cost for training gain. We run a comprehensive sweep of experiments across multiple tasks, varying compute budget by scaling","authors_text":"Alexander M. Rush, Junjie Oscar Yin","cross_cats":["cs.AI","cs.CL"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2024-10-21T17:11:21Z","title":"Compute-Constrained Data Selection"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2410.16208","kind":"arxiv","version":4},"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:d4308979c1e9a4c01ed3558adbca5717087b540884541ba9c94e0b0e170a2b8b","target":"record","created_at":"2026-07-05T10:45:38Z","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":"1c42ad511ec1bb418032054690619acdd4b9915f7a11795be397c4cf2d449e72","cross_cats_sorted":["cs.AI","cs.CL"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2024-10-21T17:11:21Z","title_canon_sha256":"63602bde42e74168df4e3bc6f9399585014689c66a5f3920e60765551961ac1c"},"schema_version":"1.0","source":{"id":"2410.16208","kind":"arxiv","version":4}},"canonical_sha256":"6fcc2aebdd371f9686040fbbc847dbf38d9ee478c105331c0bae01fd2c7a5d3e","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"6fcc2aebdd371f9686040fbbc847dbf38d9ee478c105331c0bae01fd2c7a5d3e","first_computed_at":"2026-07-05T10:45:38.344899Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:45:38.344899Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"kCqVbCl8uVA2TPFFbSTjmrFP5612hDaxvYKpkAr+rddLBAmMTikwdaAawc7I1VrcD0XmhFP+Ai0QnXKXRiK7Ag==","signature_status":"signed_v1","signed_at":"2026-07-05T10:45:38.345435Z","signed_message":"canonical_sha256_bytes"},"source_id":"2410.16208","source_kind":"arxiv","source_version":4}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:d4308979c1e9a4c01ed3558adbca5717087b540884541ba9c94e0b0e170a2b8b","sha256:8080f8f86826e14a309a33b4e91b96a170125d242817a6d4e68fac13161be54d"],"state_sha256":"f8a3cf082e5b0ee098cf9ae2295f343083d79e9ae7d92f49d7fe6233967540ea"}