{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:43IFEJG7TG6CTVWLWD6UFCFRJZ","short_pith_number":"pith:43IFEJG7","canonical_record":{"source":{"id":"2407.02328","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2024-07-02T14:58:44Z","cross_cats_sorted":[],"title_canon_sha256":"3d38c13e9dad16661c88836c8d8b57ed1271a6d67f6df6ec37de14c835e1bcb3","abstract_canon_sha256":"bafb8727c5d1a1fc0eff1180cfd11878c8e0d4806ebbf7497e19be013ebebe27"},"schema_version":"1.0"},"canonical_sha256":"e6d05224df99bc29d6cbb0fd4288b14e56f65eddd46519b1dd6b5b282a83640b","source":{"kind":"arxiv","id":"2407.02328","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2407.02328","created_at":"2026-07-05T08:39:22Z"},{"alias_kind":"arxiv_version","alias_value":"2407.02328v1","created_at":"2026-07-05T08:39:22Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2407.02328","created_at":"2026-07-05T08:39:22Z"},{"alias_kind":"pith_short_12","alias_value":"43IFEJG7TG6C","created_at":"2026-07-05T08:39:22Z"},{"alias_kind":"pith_short_16","alias_value":"43IFEJG7TG6CTVWL","created_at":"2026-07-05T08:39:22Z"},{"alias_kind":"pith_short_8","alias_value":"43IFEJG7","created_at":"2026-07-05T08:39:22Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:43IFEJG7TG6CTVWLWD6UFCFRJZ","target":"record","payload":{"canonical_record":{"source":{"id":"2407.02328","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2024-07-02T14:58:44Z","cross_cats_sorted":[],"title_canon_sha256":"3d38c13e9dad16661c88836c8d8b57ed1271a6d67f6df6ec37de14c835e1bcb3","abstract_canon_sha256":"bafb8727c5d1a1fc0eff1180cfd11878c8e0d4806ebbf7497e19be013ebebe27"},"schema_version":"1.0"},"canonical_sha256":"e6d05224df99bc29d6cbb0fd4288b14e56f65eddd46519b1dd6b5b282a83640b","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T08:39:22.769305Z","signature_b64":"/LvNOfLbS2deEyqWd+A4I2IeVmg+fRGaidq/F7L7AT5OqT7UErgixojn78j8yIrnEaQwc1WVJz6YkHSONyTpDA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"e6d05224df99bc29d6cbb0fd4288b14e56f65eddd46519b1dd6b5b282a83640b","last_reissued_at":"2026-07-05T08:39:22.768839Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T08:39:22.768839Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2407.02328","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T08:39:22Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"oZ7bLIt5OohiPufEu7JewPsfrYMfxAm0wv7T8u4uwtYDYmJFNmPRNdU4FBiWbVSo+pHGUL6pX92WNtOaUUo0Aw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-11T15:09:49.631490Z"},"content_sha256":"a1394dcef5552e4080d8dbc709cb729ff384c272ee41d87958fafd46633e94ab","schema_version":"1.0","event_id":"sha256:a1394dcef5552e4080d8dbc709cb729ff384c272ee41d87958fafd46633e94ab"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:43IFEJG7TG6CTVWLWD6UFCFRJZ","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Efficient Sparse Attention needs Adaptive Token Release","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CL","authors_text":"Chaoran Zhang, Chenliang Li, Dan Luo, Lixin Zou, Min Tang, Xiangyang Luo, Zihao Li","submitted_at":"2024-07-02T14:58:44Z","abstract_excerpt":"In recent years, Large Language Models (LLMs) have demonstrated remarkable capabilities across a wide array of text-centric tasks. However, their `large' scale introduces significant computational and storage challenges, particularly in managing the key-value states of the transformer, which limits their wider applicability. Therefore, we propose to adaptively release resources from caches and rebuild the necessary key-value states. Particularly, we accomplish this by a lightweight controller module to approximate an ideal top-$K$ sparse attention. This module retains the tokens with the highe"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2407.02328","kind":"arxiv","version":1},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2407.02328/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T08:39:22Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"x+akbOyUR7dMaWxOX6kMxx2jWcC2LMZJ4xuscWWzaicO+bOoORaUSmZxlSrYJ0sOX0gjRrVd09fMlvvfhZoFAw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-11T15:09:49.632353Z"},"content_sha256":"1f742f2a31eafe880872c9051e22b8a56d06a062769257ece2d68192ac5b81bf","schema_version":"1.0","event_id":"sha256:1f742f2a31eafe880872c9051e22b8a56d06a062769257ece2d68192ac5b81bf"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/43IFEJG7TG6CTVWLWD6UFCFRJZ/bundle.json","state_url":"https://pith.science/pith/43IFEJG7TG6CTVWLWD6UFCFRJZ/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/43IFEJG7TG6CTVWLWD6UFCFRJZ/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-07-11T15:09:49Z","links":{"resolver":"https://pith.science/pith/43IFEJG7TG6CTVWLWD6UFCFRJZ","bundle":"https://pith.science/pith/43IFEJG7TG6CTVWLWD6UFCFRJZ/bundle.json","state":"https://pith.science/pith/43IFEJG7TG6CTVWLWD6UFCFRJZ/state.json","well_known_bundle":"https://pith.science/.well-known/pith/43IFEJG7TG6CTVWLWD6UFCFRJZ/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:43IFEJG7TG6CTVWLWD6UFCFRJZ","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":"bafb8727c5d1a1fc0eff1180cfd11878c8e0d4806ebbf7497e19be013ebebe27","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2024-07-02T14:58:44Z","title_canon_sha256":"3d38c13e9dad16661c88836c8d8b57ed1271a6d67f6df6ec37de14c835e1bcb3"},"schema_version":"1.0","source":{"id":"2407.02328","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2407.02328","created_at":"2026-07-05T08:39:22Z"},{"alias_kind":"arxiv_version","alias_value":"2407.02328v1","created_at":"2026-07-05T08:39:22Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2407.02328","created_at":"2026-07-05T08:39:22Z"},{"alias_kind":"pith_short_12","alias_value":"43IFEJG7TG6C","created_at":"2026-07-05T08:39:22Z"},{"alias_kind":"pith_short_16","alias_value":"43IFEJG7TG6CTVWL","created_at":"2026-07-05T08:39:22Z"},{"alias_kind":"pith_short_8","alias_value":"43IFEJG7","created_at":"2026-07-05T08:39:22Z"}],"graph_snapshots":[{"event_id":"sha256:1f742f2a31eafe880872c9051e22b8a56d06a062769257ece2d68192ac5b81bf","target":"graph","created_at":"2026-07-05T08:39:22Z","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/2407.02328/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"In recent years, Large Language Models (LLMs) have demonstrated remarkable capabilities across a wide array of text-centric tasks. However, their `large' scale introduces significant computational and storage challenges, particularly in managing the key-value states of the transformer, which limits their wider applicability. Therefore, we propose to adaptively release resources from caches and rebuild the necessary key-value states. Particularly, we accomplish this by a lightweight controller module to approximate an ideal top-$K$ sparse attention. This module retains the tokens with the highe","authors_text":"Chaoran Zhang, Chenliang Li, Dan Luo, Lixin Zou, Min Tang, Xiangyang Luo, Zihao Li","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2024-07-02T14:58:44Z","title":"Efficient Sparse Attention needs Adaptive Token Release"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2407.02328","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:a1394dcef5552e4080d8dbc709cb729ff384c272ee41d87958fafd46633e94ab","target":"record","created_at":"2026-07-05T08:39:22Z","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":"bafb8727c5d1a1fc0eff1180cfd11878c8e0d4806ebbf7497e19be013ebebe27","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2024-07-02T14:58:44Z","title_canon_sha256":"3d38c13e9dad16661c88836c8d8b57ed1271a6d67f6df6ec37de14c835e1bcb3"},"schema_version":"1.0","source":{"id":"2407.02328","kind":"arxiv","version":1}},"canonical_sha256":"e6d05224df99bc29d6cbb0fd4288b14e56f65eddd46519b1dd6b5b282a83640b","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"e6d05224df99bc29d6cbb0fd4288b14e56f65eddd46519b1dd6b5b282a83640b","first_computed_at":"2026-07-05T08:39:22.768839Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:39:22.768839Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"/LvNOfLbS2deEyqWd+A4I2IeVmg+fRGaidq/F7L7AT5OqT7UErgixojn78j8yIrnEaQwc1WVJz6YkHSONyTpDA==","signature_status":"signed_v1","signed_at":"2026-07-05T08:39:22.769305Z","signed_message":"canonical_sha256_bytes"},"source_id":"2407.02328","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:a1394dcef5552e4080d8dbc709cb729ff384c272ee41d87958fafd46633e94ab","sha256:1f742f2a31eafe880872c9051e22b8a56d06a062769257ece2d68192ac5b81bf"],"state_sha256":"04608f7b191c517dc1f904d978af48291370ff7e2ffd6644310eea1f83737ba0"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"qn/M2ljBFuWJzFG4maqLVIkoiPg6VTBvRldM8lVvNYGKMkQSk1j/BH/WsLZy/8iuxoYqyzCvBnhcFW28imHDBw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-11T15:09:49.634762Z","bundle_sha256":"ef6fd523aa913277e9200ad1888b13b9333967b77a629a37a9da0c3611997489"}}