{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:3W4TP4TDOK7R2KAVRJ6PBW7JV5","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":"f384821d7dfb4797dddd8226e955b5ffdd40de8cefdd69307c3351018a4b3a88","cross_cats_sorted":["cs.AI","cs.CV"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2025-10-24T09:11:50Z","title_canon_sha256":"c558737a8844134915601e51d1a568059e4aee5264aaf1425d8d0ce846bb02f4"},"schema_version":"1.0","source":{"id":"2510.21270","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2510.21270","created_at":"2026-05-25T02:01:08Z"},{"alias_kind":"arxiv_version","alias_value":"2510.21270v2","created_at":"2026-05-25T02:01:08Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2510.21270","created_at":"2026-05-25T02:01:08Z"},{"alias_kind":"pith_short_12","alias_value":"3W4TP4TDOK7R","created_at":"2026-05-25T02:01:08Z"},{"alias_kind":"pith_short_16","alias_value":"3W4TP4TDOK7R2KAV","created_at":"2026-05-25T02:01:08Z"},{"alias_kind":"pith_short_8","alias_value":"3W4TP4TD","created_at":"2026-05-25T02:01:08Z"}],"graph_snapshots":[{"event_id":"sha256:6d439a08a07b2fec3caac44a5ef3b8efb234711caf82643675f38f7a306b7286","target":"graph","created_at":"2026-05-25T02:01:08Z","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/2510.21270/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Scaling the context length of large language models (LLMs) offers significant benefits but is computationally expensive. This expense stems primarily from the self-attention mechanism, whose $O(N^2)$ complexity with respect to sequence length presents a major bottleneck for both memory and latency. Fortunately, the attention matrix is often sparse, particularly for long sequences, suggesting an opportunity for optimization. Block-sparse attention has emerged as a promising solution that partitions sequences into blocks and skips computation for a subset of these blocks. However, the effectiven","authors_text":"Chenkun Tan, Dong Zhang, Fangxu Liu, Kai Song, Pengyu Wang, Shaojun Zhou, Shiguo Lian, Xinghao Wang, Xipeng Qiu, Zhaoxiang Liu","cross_cats":["cs.AI","cs.CV"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2025-10-24T09:11:50Z","title":"Sparser Block-Sparse Attention via Token Permutation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2510.21270","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:b911927e87ecbd7629c02c3e337260ecd7db47f9440f4458467ae399504d13ea","target":"record","created_at":"2026-05-25T02:01:08Z","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":"f384821d7dfb4797dddd8226e955b5ffdd40de8cefdd69307c3351018a4b3a88","cross_cats_sorted":["cs.AI","cs.CV"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2025-10-24T09:11:50Z","title_canon_sha256":"c558737a8844134915601e51d1a568059e4aee5264aaf1425d8d0ce846bb02f4"},"schema_version":"1.0","source":{"id":"2510.21270","kind":"arxiv","version":2}},"canonical_sha256":"ddb937f26372bf1d28158a7cf0dbe9af465b2aa99eb16f4e99523928076f5dd0","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"ddb937f26372bf1d28158a7cf0dbe9af465b2aa99eb16f4e99523928076f5dd0","first_computed_at":"2026-05-25T02:01:08.847523Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-25T02:01:08.847523Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"3WmDgEWOcXooz2oB1T3KgXONtC5BCG3VsTWazaX2iEddmB9AouCf56xNrDThQHJAuK7n0C8VBT55yX04Q75ZAQ==","signature_status":"signed_v1","signed_at":"2026-05-25T02:01:08.848155Z","signed_message":"canonical_sha256_bytes"},"source_id":"2510.21270","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:b911927e87ecbd7629c02c3e337260ecd7db47f9440f4458467ae399504d13ea","sha256:6d439a08a07b2fec3caac44a5ef3b8efb234711caf82643675f38f7a306b7286"],"state_sha256":"35115cb25b3b35ebbac72a1a492e9fcee40ba8ae1bfc090662d515d4b4196fc2"}