{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:CYWW53FRIQBWMCN6K4MHVJO2ZP","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":"7716326286aa36bee54a9ceaeda22c0ba7250e3336c9932ab6d6f13afb3535a2","cross_cats_sorted":["cs.AI","cs.CL"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2025-02-06T09:08:12Z","title_canon_sha256":"aa0cea585ff878ef82045a81e5b8d8b6e3233a3da65281965ef67b40c3a4c560"},"schema_version":"1.0","source":{"id":"2502.04405","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2502.04405","created_at":"2026-07-05T11:02:41Z"},{"alias_kind":"arxiv_version","alias_value":"2502.04405v2","created_at":"2026-07-05T11:02:41Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2502.04405","created_at":"2026-07-05T11:02:41Z"},{"alias_kind":"pith_short_12","alias_value":"CYWW53FRIQBW","created_at":"2026-07-05T11:02:41Z"},{"alias_kind":"pith_short_16","alias_value":"CYWW53FRIQBWMCN6","created_at":"2026-07-05T11:02:41Z"},{"alias_kind":"pith_short_8","alias_value":"CYWW53FR","created_at":"2026-07-05T11:02:41Z"}],"graph_snapshots":[{"event_id":"sha256:8c18946b6dca0c4544100ff1fea88cc88d9dd2dc0a87ffa4aceb6f806a806633","target":"graph","created_at":"2026-07-05T11:02:41Z","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/2502.04405/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Spiking Large Language Models have been shown as a good alternative to LLMs in various scenarios. Existing methods for creating Spiking LLMs, i.e., direct training and ANN-SNN conversion, often suffer from performance degradation and relatively high computational costs. To address these issues, we propose a novel Fast ANN-SNN conversion strategy (FAS) that transforms LLMs into spiking LLMs in two stages. The first stage employs a full-parameter fine-tuning of pre-trained models, so it does not need any direct training from scratch. The second stage introduces a coarse-to-fine calibration metho","authors_text":"Andy Song, Badong Chen, Jiancheng Lv, Long Chen, Xiaotian Song, Yanan Sun","cross_cats":["cs.AI","cs.CL"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2025-02-06T09:08:12Z","title":"FAS: Fast ANN-SNN Conversion for Spiking Large Language Models"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2502.04405","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:ce1f56bbdb11eceb4828b8e862e57bf6089bf62c62e958e79545ef3e58e3f144","target":"record","created_at":"2026-07-05T11:02:41Z","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":"7716326286aa36bee54a9ceaeda22c0ba7250e3336c9932ab6d6f13afb3535a2","cross_cats_sorted":["cs.AI","cs.CL"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2025-02-06T09:08:12Z","title_canon_sha256":"aa0cea585ff878ef82045a81e5b8d8b6e3233a3da65281965ef67b40c3a4c560"},"schema_version":"1.0","source":{"id":"2502.04405","kind":"arxiv","version":2}},"canonical_sha256":"162d6eecb144036609be57187aa5dacbc8dd51dade00b2d643c13f095fd468d5","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"162d6eecb144036609be57187aa5dacbc8dd51dade00b2d643c13f095fd468d5","first_computed_at":"2026-07-05T11:02:41.301705Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:02:41.301705Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"hm014/l6cO7rkD1lBDZ48eVScNC9zcXddbL8MUkAfZ+x+mM9lL0Yn6y5MNGndqAUfNpYP8zNHtgv1hun5A9ACg==","signature_status":"signed_v1","signed_at":"2026-07-05T11:02:41.302236Z","signed_message":"canonical_sha256_bytes"},"source_id":"2502.04405","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:ce1f56bbdb11eceb4828b8e862e57bf6089bf62c62e958e79545ef3e58e3f144","sha256:8c18946b6dca0c4544100ff1fea88cc88d9dd2dc0a87ffa4aceb6f806a806633"],"state_sha256":"3a800c10aa5027c969a461cb7f5c14a78e0b4d73ddeae990c505759820f20d90"}