{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:IHZBEAIABLTFW3Y4JQG5KVPUVK","short_pith_number":"pith:IHZBEAIA","canonical_record":{"source":{"id":"2608.03887","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.LG","submitted_at":"2026-08-04T16:22:30Z","cross_cats_sorted":["cs.NE","q-bio.MN"],"title_canon_sha256":"777adc9f0a217dccaee6bf8526654f7522d0711be9e8d996cd421d03a59a19c7","abstract_canon_sha256":"16c0ebdd352772eab3bd6caab6d9d9b657243bd7f9539f0d6fb6cd05165149b7"},"schema_version":"1.0"},"canonical_sha256":"41f21201000ae65b6f1c4c0dd555f4aa988e816bf06b990ef68c58bafd05a005","source":{"kind":"arxiv","id":"2608.03887","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2608.03887","created_at":"2026-08-05T01:37:19Z"},{"alias_kind":"arxiv_version","alias_value":"2608.03887v1","created_at":"2026-08-05T01:37:19Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2608.03887","created_at":"2026-08-05T01:37:19Z"},{"alias_kind":"pith_short_12","alias_value":"IHZBEAIABLTF","created_at":"2026-08-05T01:37:19Z"},{"alias_kind":"pith_short_16","alias_value":"IHZBEAIABLTFW3Y4","created_at":"2026-08-05T01:37:19Z"},{"alias_kind":"pith_short_8","alias_value":"IHZBEAIA","created_at":"2026-08-05T01:37:19Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:IHZBEAIABLTFW3Y4JQG5KVPUVK","target":"record","payload":{"canonical_record":{"source":{"id":"2608.03887","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.LG","submitted_at":"2026-08-04T16:22:30Z","cross_cats_sorted":["cs.NE","q-bio.MN"],"title_canon_sha256":"777adc9f0a217dccaee6bf8526654f7522d0711be9e8d996cd421d03a59a19c7","abstract_canon_sha256":"16c0ebdd352772eab3bd6caab6d9d9b657243bd7f9539f0d6fb6cd05165149b7"},"schema_version":"1.0"},"canonical_sha256":"41f21201000ae65b6f1c4c0dd555f4aa988e816bf06b990ef68c58bafd05a005","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-08-05T01:37:19.443866Z","signature_b64":"ExpUFEuIHZszSfH+1ouGFh/AQmvT+cXmXMWmbtm5j+IuAPP5PPow44H4b2n5UgapE3j+K1vyOXgBQnmBEJw0Ag==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"41f21201000ae65b6f1c4c0dd555f4aa988e816bf06b990ef68c58bafd05a005","last_reissued_at":"2026-08-05T01:37:19.442462Z","signature_status":"signed_v1","first_computed_at":"2026-08-05T01:37:19.442462Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2608.03887","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-08-05T01:37:19Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"248IwkRbZK/SQ2/rXCbE2jKnuNb2wqpepbD0B2UnQmTfYghuwpl38Xgx894hrvN/WY0oI/3U7DOi6o/lYmDCAg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-21T08:32:13.274559Z"},"content_sha256":"0125c6f89311005e8ccab2dae3ee975401346739051a63eaa0f5a8fd255ee0b7","schema_version":"1.0","event_id":"sha256:0125c6f89311005e8ccab2dae3ee975401346739051a63eaa0f5a8fd255ee0b7"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:IHZBEAIABLTFW3Y4JQG5KVPUVK","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Omega-S: A Functional Resilience Index for LLM Fine-Tuning","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","headline":"","cross_cats":["cs.NE","q-bio.MN"],"primary_cat":"cs.LG","authors_text":"Alberto Acedo","submitted_at":"2026-08-04T16:22:30Z","abstract_excerpt":"Fine-tuning a large language model on new data degrades what it previously learned. We present Omega-S, a drop-in penalty computed from the weight matrix alone: it needs no previous-task data, no Fisher matrix and no stored copy of the old weights. It is three lines in an existing training loop and adds under 4% to the cost of a step.\n  Retention. On Llama-3-8B with LoRA, fine-tuned from code to prose and measured by HumanEval over ten seeds, Omega-S retains more of the original capability than no regularisation on 9 of 10 seeds (0.173 -> 0.238 absolute pass@1; sign test one-sided p=0.011, Wil"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2608.03887","kind":"arxiv","version":1},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2608.03887/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-08-05T01:37:19Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"DEgudbcrBNlKGZ1leNXdhxFmMkVJW8ZS82J7jv8Mc+fQmCDWP7ChAA1Qaev6OFYAoR8KVlo7i0YG8owXc27MBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-21T08:32:13.275437Z"},"content_sha256":"cbf905332789fee163afcc83c91dd733a05175b6714fffb2e816d5ae1820bc8f","schema_version":"1.0","event_id":"sha256:cbf905332789fee163afcc83c91dd733a05175b6714fffb2e816d5ae1820bc8f"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/IHZBEAIABLTFW3Y4JQG5KVPUVK/bundle.json","state_url":"https://pith.science/pith/IHZBEAIABLTFW3Y4JQG5KVPUVK/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/IHZBEAIABLTFW3Y4JQG5KVPUVK/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-08-21T08:32:13Z","links":{"resolver":"https://pith.science/pith/IHZBEAIABLTFW3Y4JQG5KVPUVK","bundle":"https://pith.science/pith/IHZBEAIABLTFW3Y4JQG5KVPUVK/bundle.json","state":"https://pith.science/pith/IHZBEAIABLTFW3Y4JQG5KVPUVK/state.json","well_known_bundle":"https://pith.science/.well-known/pith/IHZBEAIABLTFW3Y4JQG5KVPUVK/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:IHZBEAIABLTFW3Y4JQG5KVPUVK","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":"16c0ebdd352772eab3bd6caab6d9d9b657243bd7f9539f0d6fb6cd05165149b7","cross_cats_sorted":["cs.NE","q-bio.MN"],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.LG","submitted_at":"2026-08-04T16:22:30Z","title_canon_sha256":"777adc9f0a217dccaee6bf8526654f7522d0711be9e8d996cd421d03a59a19c7"},"schema_version":"1.0","source":{"id":"2608.03887","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2608.03887","created_at":"2026-08-05T01:37:19Z"},{"alias_kind":"arxiv_version","alias_value":"2608.03887v1","created_at":"2026-08-05T01:37:19Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2608.03887","created_at":"2026-08-05T01:37:19Z"},{"alias_kind":"pith_short_12","alias_value":"IHZBEAIABLTF","created_at":"2026-08-05T01:37:19Z"},{"alias_kind":"pith_short_16","alias_value":"IHZBEAIABLTFW3Y4","created_at":"2026-08-05T01:37:19Z"},{"alias_kind":"pith_short_8","alias_value":"IHZBEAIA","created_at":"2026-08-05T01:37:19Z"}],"graph_snapshots":[{"event_id":"sha256:cbf905332789fee163afcc83c91dd733a05175b6714fffb2e816d5ae1820bc8f","target":"graph","created_at":"2026-08-05T01:37:19Z","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/2608.03887/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Fine-tuning a large language model on new data degrades what it previously learned. We present Omega-S, a drop-in penalty computed from the weight matrix alone: it needs no previous-task data, no Fisher matrix and no stored copy of the old weights. It is three lines in an existing training loop and adds under 4% to the cost of a step.\n  Retention. On Llama-3-8B with LoRA, fine-tuned from code to prose and measured by HumanEval over ten seeds, Omega-S retains more of the original capability than no regularisation on 9 of 10 seeds (0.173 -> 0.238 absolute pass@1; sign test one-sided p=0.011, Wil","authors_text":"Alberto Acedo","cross_cats":["cs.NE","q-bio.MN"],"headline":"","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.LG","submitted_at":"2026-08-04T16:22:30Z","title":"Omega-S: A Functional Resilience Index for LLM Fine-Tuning"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2608.03887","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":"sha256:0125c6f89311005e8ccab2dae3ee975401346739051a63eaa0f5a8fd255ee0b7","target":"record","created_at":"2026-08-05T01:37:19Z","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":"16c0ebdd352772eab3bd6caab6d9d9b657243bd7f9539f0d6fb6cd05165149b7","cross_cats_sorted":["cs.NE","q-bio.MN"],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.LG","submitted_at":"2026-08-04T16:22:30Z","title_canon_sha256":"777adc9f0a217dccaee6bf8526654f7522d0711be9e8d996cd421d03a59a19c7"},"schema_version":"1.0","source":{"id":"2608.03887","kind":"arxiv","version":1}},"canonical_sha256":"41f21201000ae65b6f1c4c0dd555f4aa988e816bf06b990ef68c58bafd05a005","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"41f21201000ae65b6f1c4c0dd555f4aa988e816bf06b990ef68c58bafd05a005","first_computed_at":"2026-08-05T01:37:19.442462Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-08-05T01:37:19.442462Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"ExpUFEuIHZszSfH+1ouGFh/AQmvT+cXmXMWmbtm5j+IuAPP5PPow44H4b2n5UgapE3j+K1vyOXgBQnmBEJw0Ag==","signature_status":"signed_v1","signed_at":"2026-08-05T01:37:19.443866Z","signed_message":"canonical_sha256_bytes"},"source_id":"2608.03887","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:0125c6f89311005e8ccab2dae3ee975401346739051a63eaa0f5a8fd255ee0b7","sha256:cbf905332789fee163afcc83c91dd733a05175b6714fffb2e816d5ae1820bc8f"],"state_sha256":"569ba6fe539b586dd4e3d233b5099e0a1590d4babed3d0a5f14d616fdaa7b610"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"nDDi1kQ2uqP9g63KDgumpHMekKW3D+DtIERe+DHC/iYs6KS25zpRwSMgH44Ka8zijkp7p6VXXT5hBpIunxBYDg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-21T08:32:13.281558Z","bundle_sha256":"d5ded55f3e9a732a305c77f3f84459b14f6a5e5078b377a76558516152fa5f72"}}