{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:577RWXOAAT4AHQICG2W367D6S6","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":"4f7a302e744b3ed592d840a1e0740b3c24932154107bb047802409a905bfa8e7","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2025-08-19T16:54:02Z","title_canon_sha256":"d1bf598d0e0ba433007117d8d291e802a226e8297c0674f703096835b79e1f49"},"schema_version":"1.0","source":{"id":"2508.14000","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2508.14000","created_at":"2026-07-05T11:56:10Z"},{"alias_kind":"arxiv_version","alias_value":"2508.14000v1","created_at":"2026-07-05T11:56:10Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2508.14000","created_at":"2026-07-05T11:56:10Z"},{"alias_kind":"pith_short_12","alias_value":"577RWXOAAT4A","created_at":"2026-07-05T11:56:10Z"},{"alias_kind":"pith_short_16","alias_value":"577RWXOAAT4AHQIC","created_at":"2026-07-05T11:56:10Z"},{"alias_kind":"pith_short_8","alias_value":"577RWXOA","created_at":"2026-07-05T11:56:10Z"}],"graph_snapshots":[{"event_id":"sha256:5d7a9dd0c4136c7739cbf99a6e384fefcc1d597a786de97977354d11b0dbac47","target":"graph","created_at":"2026-07-05T11:56:10Z","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/2508.14000/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"We introduce the Knob-Meter-Rule (KMR) framework, a unified formalism for representing and reasoning about model efficiency techniques in deep learning. By abstracting diverse methods, including pruning, quantization, knowledge distillation, and parameter-efficient architectures, into a consistent set of controllable knobs, deterministic rules, and measurable meters, KMR provides a mathematically precise and modular perspective on efficiency optimization. The framework enables systematic composition of multiple techniques, flexible policy-driven application, and iterative budgeted optimization","authors_text":"Kunal, Naman Tyagi, Srishti Das, Vatsal Gupta","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2025-08-19T16:54:02Z","title":"Formal Algorithms for Model Efficiency"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2508.14000","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":"sha256:087b935df1e4d3aeac9d9834d53654b16c3f74241573caa5ccee4631937dafdc","target":"record","created_at":"2026-07-05T11:56:10Z","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":"4f7a302e744b3ed592d840a1e0740b3c24932154107bb047802409a905bfa8e7","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2025-08-19T16:54:02Z","title_canon_sha256":"d1bf598d0e0ba433007117d8d291e802a226e8297c0674f703096835b79e1f49"},"schema_version":"1.0","source":{"id":"2508.14000","kind":"arxiv","version":1}},"canonical_sha256":"efff1b5dc004f803c10236adbf7c7e9793dc2c36d4fb710def47e2b735dd069d","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"efff1b5dc004f803c10236adbf7c7e9793dc2c36d4fb710def47e2b735dd069d","first_computed_at":"2026-07-05T11:56:10.749007Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:56:10.749007Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"OSNMMUB14XtKs+j+h45yxOvm6CCWfGa1NLQKCUoj1a/zXAsJZYacvPlOI5AeDmbYozVdW8n9eRS5xn0CeHfuAw==","signature_status":"signed_v1","signed_at":"2026-07-05T11:56:10.749468Z","signed_message":"canonical_sha256_bytes"},"source_id":"2508.14000","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:087b935df1e4d3aeac9d9834d53654b16c3f74241573caa5ccee4631937dafdc","sha256:5d7a9dd0c4136c7739cbf99a6e384fefcc1d597a786de97977354d11b0dbac47"],"state_sha256":"95193227dfb0f81703df113a40482048006889dd9d595b65cf72471d1680bbb2"}