{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:GSPA4J3VLYSIULRJWAKYCMVBWI","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":"d7bc9c687cd9f7e2e55c12803fff1a11c404561551f341ecb5ffbad3331ddb29","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2024-08-08T16:54:40Z","title_canon_sha256":"5326e1378838200c0ac3ae35640c279b2599f68b5fa778f25cd709e32ee8e1cb"},"schema_version":"1.0","source":{"id":"2408.04585","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2408.04585","created_at":"2026-07-05T09:07:01Z"},{"alias_kind":"arxiv_version","alias_value":"2408.04585v3","created_at":"2026-07-05T09:07:01Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2408.04585","created_at":"2026-07-05T09:07:01Z"},{"alias_kind":"pith_short_12","alias_value":"GSPA4J3VLYSI","created_at":"2026-07-05T09:07:01Z"},{"alias_kind":"pith_short_16","alias_value":"GSPA4J3VLYSIULRJ","created_at":"2026-07-05T09:07:01Z"},{"alias_kind":"pith_short_8","alias_value":"GSPA4J3V","created_at":"2026-07-05T09:07:01Z"}],"graph_snapshots":[{"event_id":"sha256:617b5041a4061f5d452eebca515f2663e099a9af667751276b473891a3e275e6","target":"graph","created_at":"2026-07-05T09:07:01Z","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/2408.04585/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"With the increasing demand for practical applications of Large Language Models (LLMs), many attention-efficient models have been developed to balance performance and computational cost. However, the adversarial robustness of these models remains under-explored. In this work, we design a framework to investigate the trade-off between efficiency, performance, and adversarial robustness of LLMs and conduct extensive experiments on three prominent models with varying levels of complexity and efficiency -- Transformer++, Gated Linear Attention (GLA) Transformer, and MatMul-Free LM -- utilizing the ","authors_text":"Chunliang Tao, Xiaojing Fan","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2024-08-08T16:54:40Z","title":"Towards Resilient and Efficient LLMs: A Comparative Study of Efficiency, Performance, and Adversarial Robustness"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2408.04585","kind":"arxiv","version":3},"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:a8e18477d0a3e8980e5a3617dfd8a24ae05b28fe16aaf325151aef6d88416d81","target":"record","created_at":"2026-07-05T09:07:01Z","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":"d7bc9c687cd9f7e2e55c12803fff1a11c404561551f341ecb5ffbad3331ddb29","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2024-08-08T16:54:40Z","title_canon_sha256":"5326e1378838200c0ac3ae35640c279b2599f68b5fa778f25cd709e32ee8e1cb"},"schema_version":"1.0","source":{"id":"2408.04585","kind":"arxiv","version":3}},"canonical_sha256":"349e0e27755e248a2e29b0158132a1b2344e14e5c704cd5c4b0ddbae41fcbc8c","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"349e0e27755e248a2e29b0158132a1b2344e14e5c704cd5c4b0ddbae41fcbc8c","first_computed_at":"2026-07-05T09:07:01.967722Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:07:01.967722Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"pETDHShQCbXLrDXsetciFJ7cqJULsml2R0B9Ir0bqvWUVP2Hb2u9/EkG9wgyDnOS0VhCZgQXoHJ6nz/iXfQrBw==","signature_status":"signed_v1","signed_at":"2026-07-05T09:07:01.968131Z","signed_message":"canonical_sha256_bytes"},"source_id":"2408.04585","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:a8e18477d0a3e8980e5a3617dfd8a24ae05b28fe16aaf325151aef6d88416d81","sha256:617b5041a4061f5d452eebca515f2663e099a9af667751276b473891a3e275e6"],"state_sha256":"1bc7fe0608f2f607f382a95fcfe85a64a95e7985b0b092ad10cb55744983de6b"}