{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:7VHYZGUTQJDKFZLDXWC34J3G2H","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":"8d6b6c2864c8d88b56a297952f80967256f1f4e55ff80d92a5ce500e12e245e5","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2025-09-01T07:15:25Z","title_canon_sha256":"41e38d028bb6837f9df4ca759e96905ffceb9961f55537fc9ace069b796e1a32"},"schema_version":"1.0","source":{"id":"2509.01190","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2509.01190","created_at":"2026-07-05T12:06:19Z"},{"alias_kind":"arxiv_version","alias_value":"2509.01190v2","created_at":"2026-07-05T12:06:19Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2509.01190","created_at":"2026-07-05T12:06:19Z"},{"alias_kind":"pith_short_12","alias_value":"7VHYZGUTQJDK","created_at":"2026-07-05T12:06:19Z"},{"alias_kind":"pith_short_16","alias_value":"7VHYZGUTQJDKFZLD","created_at":"2026-07-05T12:06:19Z"},{"alias_kind":"pith_short_8","alias_value":"7VHYZGUT","created_at":"2026-07-05T12:06:19Z"}],"graph_snapshots":[{"event_id":"sha256:f27781e313ff8d8acb22dd612567ddb83edb9ed1576758eac90991c8f20ac2b4","target":"graph","created_at":"2026-07-05T12:06:19Z","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/2509.01190/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Using Large Language Models (LLMs) in real-world applications presents significant challenges, particularly in balancing computational efficiency with model performance. Optimizing acceleration after fine-tuning and during inference is critical for building efficient architectures. This paper introduces Zero-Shot Adjustable Acceleration, a novel training and inference method that dynamically adjusts hardware utilization during inference without requiring additional fine-tuning. The proposed approach is applied to recent LLMs and evaluated across multiple classification and text generation task","authors_text":"Mohammad Sharifkhani, Sajjad Kachuee","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2025-09-01T07:15:25Z","title":"Efficient Large Language Models with Zero-Shot Adjustable Acceleration"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2509.01190","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:d00f806eb4236984462328e576be1cc397c2b030c5a0dbf01039230b08346bb6","target":"record","created_at":"2026-07-05T12:06:19Z","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":"8d6b6c2864c8d88b56a297952f80967256f1f4e55ff80d92a5ce500e12e245e5","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2025-09-01T07:15:25Z","title_canon_sha256":"41e38d028bb6837f9df4ca759e96905ffceb9961f55537fc9ace069b796e1a32"},"schema_version":"1.0","source":{"id":"2509.01190","kind":"arxiv","version":2}},"canonical_sha256":"fd4f8c9a938246a2e563bd85be2766d1e08571d1264d178c4a686acff3bcdec6","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"fd4f8c9a938246a2e563bd85be2766d1e08571d1264d178c4a686acff3bcdec6","first_computed_at":"2026-07-05T12:06:19.506931Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T12:06:19.506931Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"I5bAcJt3VbnX75BLB+BQSNHv5PwpbFCl8y3lq0OQxclrclsZdSbgGZ71wVxuoW7SESeFQxA2wmJ3MzD6b1dQAw==","signature_status":"signed_v1","signed_at":"2026-07-05T12:06:19.507441Z","signed_message":"canonical_sha256_bytes"},"source_id":"2509.01190","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:d00f806eb4236984462328e576be1cc397c2b030c5a0dbf01039230b08346bb6","sha256:f27781e313ff8d8acb22dd612567ddb83edb9ed1576758eac90991c8f20ac2b4"],"state_sha256":"a80e355832e0ab193fffdf58dbc250ff35121e03135939e66a0d2a23c18d70db"}