{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:NB4RRKL5TSVS3CHAEPAWK3BKMA","short_pith_number":"pith:NB4RRKL5","canonical_record":{"source":{"id":"2502.13542","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2025-02-19T08:50:44Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"403baff129cbe590eb16a6762c643bbc4e161879d9beab4dd108dce6e0b960ad","abstract_canon_sha256":"114ad8fa2a3d615bd7a624e6f8bd577d7b29df2063551a21f6c92a55739ff11b"},"schema_version":"1.0"},"canonical_sha256":"687918a97d9cab2d88e023c1656c2a601377ba88df5b7436dc6711b221a122ff","source":{"kind":"arxiv","id":"2502.13542","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2502.13542","created_at":"2026-07-05T10:16:48Z"},{"alias_kind":"arxiv_version","alias_value":"2502.13542v1","created_at":"2026-07-05T10:16:48Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2502.13542","created_at":"2026-07-05T10:16:48Z"},{"alias_kind":"pith_short_12","alias_value":"NB4RRKL5TSVS","created_at":"2026-07-05T10:16:48Z"},{"alias_kind":"pith_short_16","alias_value":"NB4RRKL5TSVS3CHA","created_at":"2026-07-05T10:16:48Z"},{"alias_kind":"pith_short_8","alias_value":"NB4RRKL5","created_at":"2026-07-05T10:16:48Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:NB4RRKL5TSVS3CHAEPAWK3BKMA","target":"record","payload":{"canonical_record":{"source":{"id":"2502.13542","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2025-02-19T08:50:44Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"403baff129cbe590eb16a6762c643bbc4e161879d9beab4dd108dce6e0b960ad","abstract_canon_sha256":"114ad8fa2a3d615bd7a624e6f8bd577d7b29df2063551a21f6c92a55739ff11b"},"schema_version":"1.0"},"canonical_sha256":"687918a97d9cab2d88e023c1656c2a601377ba88df5b7436dc6711b221a122ff","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T10:16:48.933267Z","signature_b64":"joSzdUg7jU1yriMzQVFxrDzkKQYTzY5tyZGGUVO6WH7i36oT1lHC1SCom44+48gryOE+0kS0cWNx8U9tocNICQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"687918a97d9cab2d88e023c1656c2a601377ba88df5b7436dc6711b221a122ff","last_reissued_at":"2026-07-05T10:16:48.932834Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T10:16:48.932834Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2502.13542","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":"2026-07-05T10:16:48Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"vusanRfioFZfur/lOx0GQsM8ZHZXbCMvGZ8sLEOCgDTqWaZHigbChMFumwhgxDmGgfHiQUIn4DA9ndP1yOG4Bw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-05T01:05:52.129488Z"},"content_sha256":"5b4d879cb50105ac51355ee61d9ebbb6fb168f67e2b75c28de86e326e2672e82","schema_version":"1.0","event_id":"sha256:5b4d879cb50105ac51355ee61d9ebbb6fb168f67e2b75c28de86e326e2672e82"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:NB4RRKL5TSVS3CHAEPAWK3BKMA","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Activation-aware Probe-Query: Effective Key-Value Retrieval for Long-Context LLMs Inference","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.CL","authors_text":"Cheng Deng, Haoyang Li, Jiachuan Wang, Jiaqi Tang, Jun Wang, Lei Chen, Qingfa Xiao, Shuangyin Li, Yongqi Zhang","submitted_at":"2025-02-19T08:50:44Z","abstract_excerpt":"Recent advances in large language models (LLMs) have showcased exceptional performance in long-context tasks, while facing significant inference efficiency challenges with limited GPU memory. Existing solutions first proposed the sliding-window approach to accumulate a set of historical \\textbf{key-value} (KV) pairs for reuse, then further improvements selectively retain its subsets at each step. However, due to the sparse attention distribution across a long context, it is hard to identify and recall relevant KV pairs, as the attention is distracted by massive candidate pairs. Additionally, w"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2502.13542","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/2502.13542/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":"2026-07-05T10:16:48Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"0/HibX2zaOB7uASwfbncrbEv9VcnXUHLht1r040vwq+GRRcMbpG2x9+oezUM6tsJhnZxsbsLL+z5Cx37i3nADQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-05T01:05:52.130142Z"},"content_sha256":"a302a3d81236f84aef8b8bb0fb95cc07e1721a9b3a18d78720b8311c163ba257","schema_version":"1.0","event_id":"sha256:a302a3d81236f84aef8b8bb0fb95cc07e1721a9b3a18d78720b8311c163ba257"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/NB4RRKL5TSVS3CHAEPAWK3BKMA/bundle.json","state_url":"https://pith.science/pith/NB4RRKL5TSVS3CHAEPAWK3BKMA/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/NB4RRKL5TSVS3CHAEPAWK3BKMA/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":"2026-08-05T01:05:52Z","links":{"resolver":"https://pith.science/pith/NB4RRKL5TSVS3CHAEPAWK3BKMA","bundle":"https://pith.science/pith/NB4RRKL5TSVS3CHAEPAWK3BKMA/bundle.json","state":"https://pith.science/pith/NB4RRKL5TSVS3CHAEPAWK3BKMA/state.json","well_known_bundle":"https://pith.science/.well-known/pith/NB4RRKL5TSVS3CHAEPAWK3BKMA/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:NB4RRKL5TSVS3CHAEPAWK3BKMA","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":"114ad8fa2a3d615bd7a624e6f8bd577d7b29df2063551a21f6c92a55739ff11b","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2025-02-19T08:50:44Z","title_canon_sha256":"403baff129cbe590eb16a6762c643bbc4e161879d9beab4dd108dce6e0b960ad"},"schema_version":"1.0","source":{"id":"2502.13542","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2502.13542","created_at":"2026-07-05T10:16:48Z"},{"alias_kind":"arxiv_version","alias_value":"2502.13542v1","created_at":"2026-07-05T10:16:48Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2502.13542","created_at":"2026-07-05T10:16:48Z"},{"alias_kind":"pith_short_12","alias_value":"NB4RRKL5TSVS","created_at":"2026-07-05T10:16:48Z"},{"alias_kind":"pith_short_16","alias_value":"NB4RRKL5TSVS3CHA","created_at":"2026-07-05T10:16:48Z"},{"alias_kind":"pith_short_8","alias_value":"NB4RRKL5","created_at":"2026-07-05T10:16:48Z"}],"graph_snapshots":[{"event_id":"sha256:a302a3d81236f84aef8b8bb0fb95cc07e1721a9b3a18d78720b8311c163ba257","target":"graph","created_at":"2026-07-05T10:16:48Z","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/2502.13542/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Recent advances in large language models (LLMs) have showcased exceptional performance in long-context tasks, while facing significant inference efficiency challenges with limited GPU memory. Existing solutions first proposed the sliding-window approach to accumulate a set of historical \\textbf{key-value} (KV) pairs for reuse, then further improvements selectively retain its subsets at each step. However, due to the sparse attention distribution across a long context, it is hard to identify and recall relevant KV pairs, as the attention is distracted by massive candidate pairs. Additionally, w","authors_text":"Cheng Deng, Haoyang Li, Jiachuan Wang, Jiaqi Tang, Jun Wang, Lei Chen, Qingfa Xiao, Shuangyin Li, Yongqi Zhang","cross_cats":["cs.AI"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2025-02-19T08:50:44Z","title":"Activation-aware Probe-Query: Effective Key-Value Retrieval for Long-Context LLMs Inference"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2502.13542","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":"sha256:5b4d879cb50105ac51355ee61d9ebbb6fb168f67e2b75c28de86e326e2672e82","target":"record","created_at":"2026-07-05T10:16:48Z","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":"114ad8fa2a3d615bd7a624e6f8bd577d7b29df2063551a21f6c92a55739ff11b","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2025-02-19T08:50:44Z","title_canon_sha256":"403baff129cbe590eb16a6762c643bbc4e161879d9beab4dd108dce6e0b960ad"},"schema_version":"1.0","source":{"id":"2502.13542","kind":"arxiv","version":1}},"canonical_sha256":"687918a97d9cab2d88e023c1656c2a601377ba88df5b7436dc6711b221a122ff","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"687918a97d9cab2d88e023c1656c2a601377ba88df5b7436dc6711b221a122ff","first_computed_at":"2026-07-05T10:16:48.932834Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:16:48.932834Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"joSzdUg7jU1yriMzQVFxrDzkKQYTzY5tyZGGUVO6WH7i36oT1lHC1SCom44+48gryOE+0kS0cWNx8U9tocNICQ==","signature_status":"signed_v1","signed_at":"2026-07-05T10:16:48.933267Z","signed_message":"canonical_sha256_bytes"},"source_id":"2502.13542","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:5b4d879cb50105ac51355ee61d9ebbb6fb168f67e2b75c28de86e326e2672e82","sha256:a302a3d81236f84aef8b8bb0fb95cc07e1721a9b3a18d78720b8311c163ba257"],"state_sha256":"5edd0efce45d78d5393cac1ba3b3101090490f7af3917fdd7cf37056b8a4b694"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"9OYeilyP2InFZHn3so9sin/QUHfm6ucRDLbXzl2n1d9H64gBfAFZv1rsTsaMkA8HVcViZ/aSxxN3obs9LwEyAw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-05T01:05:52.140404Z","bundle_sha256":"01708a9314f3682d32241e07080e9c44c567af2edcd559af508e55d013b8de5c"}}