{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:OFKYIEOQQODN3SDAPI4JXNZYA3","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":"6682a4486789e21bdbf105becd7c7ea85fb2708e635d0911b8a9b2fcd77ed7db","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2025-03-31T10:16:03Z","title_canon_sha256":"ac1e0557b9aebb195420469ee5e01b6ab2af9f0efdd272d32c7caee0da7322c4"},"schema_version":"1.0","source":{"id":"2503.23924","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2503.23924","created_at":"2026-07-05T10:42:01Z"},{"alias_kind":"arxiv_version","alias_value":"2503.23924v1","created_at":"2026-07-05T10:42:01Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2503.23924","created_at":"2026-07-05T10:42:01Z"},{"alias_kind":"pith_short_12","alias_value":"OFKYIEOQQODN","created_at":"2026-07-05T10:42:01Z"},{"alias_kind":"pith_short_16","alias_value":"OFKYIEOQQODN3SDA","created_at":"2026-07-05T10:42:01Z"},{"alias_kind":"pith_short_8","alias_value":"OFKYIEOQ","created_at":"2026-07-05T10:42:01Z"}],"graph_snapshots":[{"event_id":"sha256:27bd06c394c09262361cf1a1cc51244f4b51fca697b2ac9379b80a32d02ae480","target":"graph","created_at":"2026-07-05T10:42:01Z","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/2503.23924/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Large language models (LLMs) demonstrate strong performance across natural language processing tasks, yet undergo significant performance degradation when modified for deployment through quantization, pruning, or decoding strategy adjustments. We define this phenomenon as model hemorrhage - performance decline caused by parameter alterations and architectural changes. Through systematic analysis of various LLM frameworks, we identify key vulnerability patterns: layer expansion frequently disrupts attention mechanisms, compression techniques induce information loss cascades, and decoding adjust","authors_text":"Bo Du, Dacheng Tao, Gui-Song Xia, Lefei Zhang, Liangpei Zhang, Ziyang Ma, Zuchao Li","cross_cats":["cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2025-03-31T10:16:03Z","title":"Model Hemorrhage and the Robustness Limits of Large Language Models"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2503.23924","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":"sha256:997eb070d1221d894687e104f6792533c60966d2ca4e84d1c706373eb271dbd5","target":"record","created_at":"2026-07-05T10:42:01Z","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":"6682a4486789e21bdbf105becd7c7ea85fb2708e635d0911b8a9b2fcd77ed7db","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2025-03-31T10:16:03Z","title_canon_sha256":"ac1e0557b9aebb195420469ee5e01b6ab2af9f0efdd272d32c7caee0da7322c4"},"schema_version":"1.0","source":{"id":"2503.23924","kind":"arxiv","version":1}},"canonical_sha256":"71558411d08386ddc8607a389bb73806d2fb96a95a7f2ebbe94145719d29d005","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"71558411d08386ddc8607a389bb73806d2fb96a95a7f2ebbe94145719d29d005","first_computed_at":"2026-07-05T10:42:01.944521Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:42:01.944521Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"yV/8Zb2LomL+p0nSb7BlA9Hx8+nILZwlIqKK7jn98WIUjuTJbu8ZDZeHYbRHYWaNtCYULrn6GsxRKXHQNBQ2AQ==","signature_status":"signed_v1","signed_at":"2026-07-05T10:42:01.945071Z","signed_message":"canonical_sha256_bytes"},"source_id":"2503.23924","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:997eb070d1221d894687e104f6792533c60966d2ca4e84d1c706373eb271dbd5","sha256:27bd06c394c09262361cf1a1cc51244f4b51fca697b2ac9379b80a32d02ae480"],"state_sha256":"0d02e8933ae16e8d3bc49b542b42ab6ebe7099dd0239412cb5f84baaa4279115"}