{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:ECWCXGQG5GZHZZCQMTHOU5L3ZI","short_pith_number":"pith:ECWCXGQG","canonical_record":{"source":{"id":"2410.14731","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2024-10-16T08:34:51Z","cross_cats_sorted":["cs.AI","cs.CL"],"title_canon_sha256":"8cda1c297bd53c7d36d906614c16e4c2d0a9bd07b2ebf67632304d4975fee1bf","abstract_canon_sha256":"699b9de8ada0133c8f58414dd02b0d1f97d68d53336bbfeb175fa62f3e8ff2e2"},"schema_version":"1.0"},"canonical_sha256":"20ac2b9a06e9b27ce45064ceea757bca1bc9284a7034bf85d1441ef3378d12e9","source":{"kind":"arxiv","id":"2410.14731","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2410.14731","created_at":"2026-07-05T11:03:52Z"},{"alias_kind":"arxiv_version","alias_value":"2410.14731v2","created_at":"2026-07-05T11:03:52Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2410.14731","created_at":"2026-07-05T11:03:52Z"},{"alias_kind":"pith_short_12","alias_value":"ECWCXGQG5GZH","created_at":"2026-07-05T11:03:52Z"},{"alias_kind":"pith_short_16","alias_value":"ECWCXGQG5GZHZZCQ","created_at":"2026-07-05T11:03:52Z"},{"alias_kind":"pith_short_8","alias_value":"ECWCXGQG","created_at":"2026-07-05T11:03:52Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:ECWCXGQG5GZHZZCQMTHOU5L3ZI","target":"record","payload":{"canonical_record":{"source":{"id":"2410.14731","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2024-10-16T08:34:51Z","cross_cats_sorted":["cs.AI","cs.CL"],"title_canon_sha256":"8cda1c297bd53c7d36d906614c16e4c2d0a9bd07b2ebf67632304d4975fee1bf","abstract_canon_sha256":"699b9de8ada0133c8f58414dd02b0d1f97d68d53336bbfeb175fa62f3e8ff2e2"},"schema_version":"1.0"},"canonical_sha256":"20ac2b9a06e9b27ce45064ceea757bca1bc9284a7034bf85d1441ef3378d12e9","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:03:52.853375Z","signature_b64":"2kBEaIpG8U2qIGE04+mhv4Od8bSb5MEhK543o+98tNZXrzC3WJXd0DpjdpNNXLnjZmNiHz0E3clX54RmAfE8Cw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"20ac2b9a06e9b27ce45064ceea757bca1bc9284a7034bf85d1441ef3378d12e9","last_reissued_at":"2026-07-05T11:03:52.852898Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:03:52.852898Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2410.14731","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T11:03:52Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"QXLA5mpuAfEoM1eGC3hlEbLevnfhjUb6mby8QltCRHANyZKqMkCmwsfwpUz+5AWPGwkEtMmIiorbozTy1vAuAA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-09T09:47:39.820551Z"},"content_sha256":"da88ec45dac110df2716520384c3e427667dea0a224777abce45c452e2ad1d4a","schema_version":"1.0","event_id":"sha256:da88ec45dac110df2716520384c3e427667dea0a224777abce45c452e2ad1d4a"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:ECWCXGQG5GZHZZCQMTHOU5L3ZI","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"MatryoshkaKV: Adaptive KV Compression via Trainable Orthogonal Projection","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI","cs.CL"],"primary_cat":"cs.LG","authors_text":"Bokai Lin, Hao Zhang, Siqi Kou, TianQi Hou, Xiaofeng Gao, Zhijie Deng, Zihao Zeng, Zipeng Xiao","submitted_at":"2024-10-16T08:34:51Z","abstract_excerpt":"KV cache has become a de facto technique for the inference of large language models (LLMs), where tensors of shape (layer number, head number, sequence length, feature dimension) are introduced to cache historical information for self-attention. As the size of the model and data grows, the KV cache can quickly become a bottleneck within the system in both storage and memory transfer. To address this, prior studies usually focus on the first three axes of the cache tensors for compression. This paper supplements them, focusing on the feature dimension axis, by utilizing low-rank projection matr"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2410.14731","kind":"arxiv","version":2},"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/2410.14731/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":"2026-07-05T11:03:52Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"hw8502D2JPHv3zBFszYaGuzZGO32ESlzl5QouS3ENa5nAACEYqg1z27voVTABYEu+QfShybNg35B6RhFmdGdAQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-09T09:47:39.821519Z"},"content_sha256":"b4b9fdce07e7fc0e1e86a1f98e53c37510a8fab328f91796cbd7384987b76cfe","schema_version":"1.0","event_id":"sha256:b4b9fdce07e7fc0e1e86a1f98e53c37510a8fab328f91796cbd7384987b76cfe"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/ECWCXGQG5GZHZZCQMTHOU5L3ZI/bundle.json","state_url":"https://pith.science/pith/ECWCXGQG5GZHZZCQMTHOU5L3ZI/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/ECWCXGQG5GZHZZCQMTHOU5L3ZI/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":"2026-08-09T09:47:39Z","links":{"resolver":"https://pith.science/pith/ECWCXGQG5GZHZZCQMTHOU5L3ZI","bundle":"https://pith.science/pith/ECWCXGQG5GZHZZCQMTHOU5L3ZI/bundle.json","state":"https://pith.science/pith/ECWCXGQG5GZHZZCQMTHOU5L3ZI/state.json","well_known_bundle":"https://pith.science/.well-known/pith/ECWCXGQG5GZHZZCQMTHOU5L3ZI/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:ECWCXGQG5GZHZZCQMTHOU5L3ZI","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":"699b9de8ada0133c8f58414dd02b0d1f97d68d53336bbfeb175fa62f3e8ff2e2","cross_cats_sorted":["cs.AI","cs.CL"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2024-10-16T08:34:51Z","title_canon_sha256":"8cda1c297bd53c7d36d906614c16e4c2d0a9bd07b2ebf67632304d4975fee1bf"},"schema_version":"1.0","source":{"id":"2410.14731","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2410.14731","created_at":"2026-07-05T11:03:52Z"},{"alias_kind":"arxiv_version","alias_value":"2410.14731v2","created_at":"2026-07-05T11:03:52Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2410.14731","created_at":"2026-07-05T11:03:52Z"},{"alias_kind":"pith_short_12","alias_value":"ECWCXGQG5GZH","created_at":"2026-07-05T11:03:52Z"},{"alias_kind":"pith_short_16","alias_value":"ECWCXGQG5GZHZZCQ","created_at":"2026-07-05T11:03:52Z"},{"alias_kind":"pith_short_8","alias_value":"ECWCXGQG","created_at":"2026-07-05T11:03:52Z"}],"graph_snapshots":[{"event_id":"sha256:b4b9fdce07e7fc0e1e86a1f98e53c37510a8fab328f91796cbd7384987b76cfe","target":"graph","created_at":"2026-07-05T11:03:52Z","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/2410.14731/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"KV cache has become a de facto technique for the inference of large language models (LLMs), where tensors of shape (layer number, head number, sequence length, feature dimension) are introduced to cache historical information for self-attention. As the size of the model and data grows, the KV cache can quickly become a bottleneck within the system in both storage and memory transfer. To address this, prior studies usually focus on the first three axes of the cache tensors for compression. This paper supplements them, focusing on the feature dimension axis, by utilizing low-rank projection matr","authors_text":"Bokai Lin, Hao Zhang, Siqi Kou, TianQi Hou, Xiaofeng Gao, Zhijie Deng, Zihao Zeng, Zipeng Xiao","cross_cats":["cs.AI","cs.CL"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2024-10-16T08:34:51Z","title":"MatryoshkaKV: Adaptive KV Compression via Trainable Orthogonal Projection"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2410.14731","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:da88ec45dac110df2716520384c3e427667dea0a224777abce45c452e2ad1d4a","target":"record","created_at":"2026-07-05T11:03:52Z","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":"699b9de8ada0133c8f58414dd02b0d1f97d68d53336bbfeb175fa62f3e8ff2e2","cross_cats_sorted":["cs.AI","cs.CL"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2024-10-16T08:34:51Z","title_canon_sha256":"8cda1c297bd53c7d36d906614c16e4c2d0a9bd07b2ebf67632304d4975fee1bf"},"schema_version":"1.0","source":{"id":"2410.14731","kind":"arxiv","version":2}},"canonical_sha256":"20ac2b9a06e9b27ce45064ceea757bca1bc9284a7034bf85d1441ef3378d12e9","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"20ac2b9a06e9b27ce45064ceea757bca1bc9284a7034bf85d1441ef3378d12e9","first_computed_at":"2026-07-05T11:03:52.852898Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:03:52.852898Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"2kBEaIpG8U2qIGE04+mhv4Od8bSb5MEhK543o+98tNZXrzC3WJXd0DpjdpNNXLnjZmNiHz0E3clX54RmAfE8Cw==","signature_status":"signed_v1","signed_at":"2026-07-05T11:03:52.853375Z","signed_message":"canonical_sha256_bytes"},"source_id":"2410.14731","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:da88ec45dac110df2716520384c3e427667dea0a224777abce45c452e2ad1d4a","sha256:b4b9fdce07e7fc0e1e86a1f98e53c37510a8fab328f91796cbd7384987b76cfe"],"state_sha256":"6c93a233fd0ac68913da860a6b0fc300413a1f7853f8a74e7e9006c98d462924"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"LZcjn15kso4dGCi0mYAZag/NEtk7Nnhlli2+XC/E6PCJWK2REZbuUxOoXdhzXOVV32RH8R3FAuzrMt0LjGqqAQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-09T09:47:39.826598Z","bundle_sha256":"c1912b8bce2b7e287d411eb444b681a069b23e18392d1bcfb19aaec8d27685c1"}}