{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:LYQICRXNGGTGG2VR2MBL3WDR7Y","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":"dbf497b9ab43eacb854af48f6ca61c175984b2d4d2099fe1c29d28185c8772ca","cross_cats_sorted":["cs.AI","cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2025-10-14T17:51:26Z","title_canon_sha256":"0930c2f815159a8d717e025de37a392c6f80580285f3486a8db727f6b0d385d7"},"schema_version":"1.0","source":{"id":"2510.12773","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2510.12773","created_at":"2026-05-20T01:05:00Z"},{"alias_kind":"arxiv_version","alias_value":"2510.12773v2","created_at":"2026-05-20T01:05:00Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2510.12773","created_at":"2026-05-20T01:05:00Z"},{"alias_kind":"pith_short_12","alias_value":"LYQICRXNGGTG","created_at":"2026-05-20T01:05:00Z"},{"alias_kind":"pith_short_16","alias_value":"LYQICRXNGGTGG2VR","created_at":"2026-05-20T01:05:00Z"},{"alias_kind":"pith_short_8","alias_value":"LYQICRXN","created_at":"2026-05-20T01:05:00Z"}],"graph_snapshots":[{"event_id":"sha256:55e89f34272391ad611ec8ecaf296bdff51be090004aa0da553f7840237c14a6","target":"graph","created_at":"2026-05-20T01:05:00Z","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/2510.12773/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Large Language Models (LLMs) process every token through all layers of a transformer stack, causing wasted computation on simple queries and insufficient flexibility for harder ones that need deeper reasoning. Adaptive-depth methods can improve efficiency, but prior approaches rely on costly inference-time search, architectural changes, or large-scale retraining, and in practice often degrade accuracy despite efficiency gains. We introduce Dr. LLM, Dynamic routing of Layers for LLMs, a retrofittable framework that equips pretrained models with lightweight per-layer routers deciding to skip, ex","authors_text":"Ahmed Heakl, Martin Gubri, Salman Khan, Sangdoo Yun, Seong Joon Oh","cross_cats":["cs.AI","cs.LG"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2025-10-14T17:51:26Z","title":"Dr.LLM: Dynamic Layer Routing in LLMs"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2510.12773","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":"sha256:8114bd75e19585c21cbe9fd60329ca9f054fd956811df2986bb17f451445af57","target":"record","created_at":"2026-05-20T01:05:00Z","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":"dbf497b9ab43eacb854af48f6ca61c175984b2d4d2099fe1c29d28185c8772ca","cross_cats_sorted":["cs.AI","cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2025-10-14T17:51:26Z","title_canon_sha256":"0930c2f815159a8d717e025de37a392c6f80580285f3486a8db727f6b0d385d7"},"schema_version":"1.0","source":{"id":"2510.12773","kind":"arxiv","version":2}},"canonical_sha256":"5e208146ed31a6636ab1d302bdd871fe1f7b8c44c61e368b34deef25ae5aeee8","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"5e208146ed31a6636ab1d302bdd871fe1f7b8c44c61e368b34deef25ae5aeee8","first_computed_at":"2026-05-20T01:05:00.039339Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-20T01:05:00.039339Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"jlJWrnTIBCEWJGv5WP/VbErDji9rSkJWC1a9nYdYcfEVE7ENI1mLclDh0/62xmfOXhprNhMslBkLwDDtlMmxDA==","signature_status":"signed_v1","signed_at":"2026-05-20T01:05:00.040285Z","signed_message":"canonical_sha256_bytes"},"source_id":"2510.12773","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:8114bd75e19585c21cbe9fd60329ca9f054fd956811df2986bb17f451445af57","sha256:55e89f34272391ad611ec8ecaf296bdff51be090004aa0da553f7840237c14a6"],"state_sha256":"b32a1d139c3ff6e5cbd21f60a5511825530b52eeb92409df464e0931b29c1274"}