{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:5SUGOE43MTTYBBGS5EQXGH73JL","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":"0bfc70e870811e15f5135cd5992f44920a55ad1d2e02ff70df2e7567798656c8","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2025-10-28T16:34:18Z","title_canon_sha256":"644cb592616be24871b262237c3d7ec1ea99ad1f52efdf82645f0531f1f66d23"},"schema_version":"1.0","source":{"id":"2510.24606","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2510.24606","created_at":"2026-05-29T01:04:57Z"},{"alias_kind":"arxiv_version","alias_value":"2510.24606v2","created_at":"2026-05-29T01:04:57Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2510.24606","created_at":"2026-05-29T01:04:57Z"},{"alias_kind":"pith_short_12","alias_value":"5SUGOE43MTTY","created_at":"2026-05-29T01:04:57Z"},{"alias_kind":"pith_short_16","alias_value":"5SUGOE43MTTYBBGS","created_at":"2026-05-29T01:04:57Z"},{"alias_kind":"pith_short_8","alias_value":"5SUGOE43","created_at":"2026-05-29T01:04:57Z"}],"graph_snapshots":[{"event_id":"sha256:fae40be290b6f50188c49b7b9c4112c2d916cccc291653997635e34fe39c7320","target":"graph","created_at":"2026-05-29T01:04:57Z","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/2510.24606/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The quadratic cost of attention limits the scalability of long-context LLMs, especially under limited hardware memory budgets. While attention is often sparse, existing static sparse methods cannot adapt to task- or input-dependent variations, and recent dynamic approaches rely on predefined templates or heuristics that may sacrifice generality. We propose Dynamic Hierarchical Sparse Attention (DHSA), a data-driven framework that predicts attention sparsity online while keeping the LLM backbone frozen. DHSA performs hierarchical routing by estimating importance at the chunk level and propagati","authors_text":"Faramarz Fekri, Joe Zou, Siheng Xiong, Yae Jee Cho","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2025-10-28T16:34:18Z","title":"Long-Context Modeling with Dynamic Hierarchical Sparse Attention for Memory-Constrained LLM Inference"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2510.24606","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:d7f0fc531c6f65ec9b40d45c65ab35527bcad6fe1304d065fdaca0f52f455d2b","target":"record","created_at":"2026-05-29T01:04:57Z","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":"0bfc70e870811e15f5135cd5992f44920a55ad1d2e02ff70df2e7567798656c8","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2025-10-28T16:34:18Z","title_canon_sha256":"644cb592616be24871b262237c3d7ec1ea99ad1f52efdf82645f0531f1f66d23"},"schema_version":"1.0","source":{"id":"2510.24606","kind":"arxiv","version":2}},"canonical_sha256":"eca867139b64e78084d2e921731ffb4af31058bca1f674d3164da7264cfa142d","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"eca867139b64e78084d2e921731ffb4af31058bca1f674d3164da7264cfa142d","first_computed_at":"2026-05-29T01:04:57.467473Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-29T01:04:57.467473Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"Au6sUpbHcCJzWPS5lYBHEjMGR0fZYuuOz5teTuLOuefuyQcjgFN5GboP8nZ0pbACmUNYHwUwpdqYSVP4FBl2Dg==","signature_status":"signed_v1","signed_at":"2026-05-29T01:04:57.468014Z","signed_message":"canonical_sha256_bytes"},"source_id":"2510.24606","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:d7f0fc531c6f65ec9b40d45c65ab35527bcad6fe1304d065fdaca0f52f455d2b","sha256:fae40be290b6f50188c49b7b9c4112c2d916cccc291653997635e34fe39c7320"],"state_sha256":"d6537188b90297f5b9aefec09bac5add807635e91248490757724f4037e8c6f1"}