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Paper Citation Record · LEDGER

SAKI: Score-Aware Low-Rank Key Indexing with Random-Matrix Noise Correction for KV Retrieval

As of 8 August 2026, this Paper Citation Record lists 24 of 24 outbound references and 0 inbound Pith citation observations for arXiv:2608.03228.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2608.03228 v2

Coverage vector

measured 24 of 24 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-08T00:54:42.773985Z

measured 24 of 24 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

24 of 24 outbound references displayed

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  • verified fuzzy5
  • unresolved19
  • parse uncertain0
  • malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 6bbd50a1-7eb6-4d60-b85d-b979f7262458 · outbound

This paper cites Native Sparse Attention: Hardware-Aligned and Natively Trainable Sparse Attention.

SAKI: Score-Aware Low-Rank Key Indexing with Random-Matrix Noise Correction for KV Retrieval Native Sparse Attention: Hardware-Aligned and Natively Trainable Sparse Attention

Reference 1

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation eca9ca53-05d3-48c5-9f4a-848a6d17b950 · outbound

This paper cites DeepSeek-V2: A Strong, Economical, and Efficient Mixture-of-Experts Language Model.

SAKI: Score-Aware Low-Rank Key Indexing with Random-Matrix Noise Correction for KV Retrieval DeepSeek-V2: A Strong, Economical, and Efficient Mixture-of-Experts Language Model

Reference 2

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Observation b4baf7a2-63fd-442c-ba6c-a225c61f16dc · outbound

This paper cites Palu: Compressing KV-Cache with Low-Rank Projection.

SAKI: Score-Aware Low-Rank Key Indexing with Random-Matrix Noise Correction for KV Retrieval Palu: Compressing KV-Cache with Low-Rank Projection

Reference 3

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source=pdf_text observed=2026-08-08T00:54:42.694725Z digest=sha256:18dae2cfea917a99d35ec7f4ff6267fa217cbe65b6d39578426a855e81dff2e1

Observation b18b2de5-6f9b-416c-b110-01f658819c29 · outbound

This paper cites Eigen Attention: Attention in Low-Rank Space for KV Cache Compression.

SAKI: Score-Aware Low-Rank Key Indexing with Random-Matrix Noise Correction for KV Retrieval Eigen Attention: Attention in Low-Rank Space for KV Cache Compression

Reference 4

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T00:54:42.699232Z digest=sha256:a80cf3479baf0907963a36c579abfc220c1a0d6226d942d18d09b6190d96c401

Observation 9437c568-adbd-4aae-a0e7-bfa78d3487cb · outbound

This paper cites ShadowKV: KV Cache in Shadows for High-Throughput Long-Context LLM Inference.

SAKI: Score-Aware Low-Rank Key Indexing with Random-Matrix Noise Correction for KV Retrieval ShadowKV: KV Cache in Shadows for High-Throughput Long-Context LLM Inference

Reference 5

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Observation 595a4343-3b54-49d0-9cf4-d17b5d93ca37 · outbound

This paper cites LoRC: Low-Rank Compression for LLMs KV Cache with a Progressive Compression Strategy.

SAKI: Score-Aware Low-Rank Key Indexing with Random-Matrix Noise Correction for KV Retrieval LoRC: Low-Rank Compression for LLMs KV Cache with a Progressive Compression Strategy

Reference 6

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Source-reported events for the cited work

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Observation f1958a73-f174-45c5-b67b-e4aa968ededc · outbound

This paper cites KIVI: A Tuning-Free Asymmetric 2bit Quantization for KV Cache.

SAKI: Score-Aware Low-Rank Key Indexing with Random-Matrix Noise Correction for KV Retrieval KIVI: A Tuning-Free Asymmetric 2bit Quantization for KV Cache

Reference 7

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source=pdf_text observed=2026-08-08T00:54:42.712770Z digest=sha256:55f6d44118d0f73e4235f1b7758dade9bd51cafed6085d390e12589eff846ff3

Observation 7d9282e2-7c49-456f-967f-e3304a2e1eac · outbound

This paper cites KVQuant: Towards 10 Million Context Length LLM Inference with KV Cache Quantization.

SAKI: Score-Aware Low-Rank Key Indexing with Random-Matrix Noise Correction for KV Retrieval KVQuant: Towards 10 Million Context Length LLM Inference with KV Cache Quantization

Reference 8

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Observation a983b77e-d9e5-4674-8d68-72ec60780d1a · outbound

This paper cites H$_2$O: Heavy-Hitter Oracle for Efficient Generative Inference of Large Language Models.

SAKI: Score-Aware Low-Rank Key Indexing with Random-Matrix Noise Correction for KV Retrieval H$_2$O: Heavy-Hitter Oracle for Efficient Generative Inference of Large Language Models

Reference 9

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source=pdf_text observed=2026-08-08T00:54:42.720504Z digest=sha256:149db4fcd972d4a051d20841777b62058a8d0e1f8e4095f0742ccee1007f751e

Observation 9e0685b5-c326-453c-916a-85f8ed204182 · outbound

This paper cites SnapKV: LLM Knows What You are Looking for Before Generation.

SAKI: Score-Aware Low-Rank Key Indexing with Random-Matrix Noise Correction for KV Retrieval SnapKV: LLM Knows What You are Looking for Before Generation

Reference 10

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Observation fc89042d-1942-49e9-9f35-cba5749ecbce · outbound

This paper cites Quest: Query-Aware Sparsity for Efficient Long-Context LLM Inference.

SAKI: Score-Aware Low-Rank Key Indexing with Random-Matrix Noise Correction for KV Retrieval Quest: Query-Aware Sparsity for Efficient Long-Context LLM Inference

Reference 11

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source=pdf_text observed=2026-08-08T00:54:42.728067Z digest=sha256:55dcb3ad4c402de0f841964413d2fed33b2b9a43bb53f1feb8d49da8b3e0c9b1

Observation d5fa5116-3b8b-4b41-8ca3-cf37d4955f63 · outbound

This paper cites The approximation of one matrix by another of lower rank.

SAKI: Score-Aware Low-Rank Key Indexing with Random-Matrix Noise Correction for KV Retrieval The approximation of one matrix by another of lower rank

Reference 12

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 18dc6695-7e48-4a7c-ac6c-94c503687e43 · outbound

This paper cites Relations between two sets of variates.

SAKI: Score-Aware Low-Rank Key Indexing with Random-Matrix Noise Correction for KV Retrieval Relations between two sets of variates

Reference 13

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source=pdf_text observed=2026-08-08T00:54:42.735690Z digest=sha256:99a91cf887fcab095956546f40c51c1616b95fca70b47c9235b3bf5d337d86ff

Observation a41dda6b-6795-44d2-b1fe-227c8b22bcfd · outbound

This paper cites Reduced-rank regression for the multivariate linear model.

SAKI: Score-Aware Low-Rank Key Indexing with Random-Matrix Noise Correction for KV Retrieval Reduced-rank regression for the multivariate linear model

Reference 14

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Observation d2d85644-6d0d-47f6-a5e1-c8612e5af04a · outbound

This paper cites Weighted low-rank approximations.

SAKI: Score-Aware Low-Rank Key Indexing with Random-Matrix Noise Correction for KV Retrieval Weighted low-rank approximations

Reference 15

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Observation 98d3991c-6974-4d19-8a80-01ccf4970f68 · outbound

This paper cites Asymmetric LSH (ALSH) for sublinear time maximum inner product search.

SAKI: Score-Aware Low-Rank Key Indexing with Random-Matrix Noise Correction for KV Retrieval Asymmetric LSH (ALSH) for sublinear time maximum inner product search

Reference 16

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Observation 9914963c-6655-4c2c-9e91-552293a11e5a · outbound

This paper cites Accelerating large-scale inference with anisotropic vector quantization.

SAKI: Score-Aware Low-Rank Key Indexing with Random-Matrix Noise Correction for KV Retrieval Accelerating large-scale inference with anisotropic vector quantization

Reference 17

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Observation c91096e1-4a7e-4913-a68f-b4dcffee4825 · outbound

This paper cites Distribution of eigenvalues for some sets of random matrices.

SAKI: Score-Aware Low-Rank Key Indexing with Random-Matrix Noise Correction for KV Retrieval Distribution of eigenvalues for some sets of random matrices

Reference 18

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation a9411c80-4953-455f-b515-65afd7500ef0 · outbound

This paper cites Noise dressing of financial correlation matrices.

SAKI: Score-Aware Low-Rank Key Indexing with Random-Matrix Noise Correction for KV Retrieval Noise dressing of financial correlation matrices

Reference 19

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 7e5e9c64-527c-45a4-afad-229a8fff3d3f · outbound

This paper cites A well-conditioned estimator for large-dimensional covariance matrices.

SAKI: Score-Aware Low-Rank Key Indexing with Random-Matrix Noise Correction for KV Retrieval A well-conditioned estimator for large-dimensional covariance matrices

Reference 20

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 136adeae-2a00-4b03-9dfe-527879bc1f3e · outbound

This paper cites arXiv, 2026.

SAKI: Score-Aware Low-Rank Key Indexing with Random-Matrix Noise Correction for KV Retrieval arXiv, 2026

Reference 21

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Observation b8604900-041a-47fe-bc4f-2ba37f329256 · outbound

This paper cites arXiv, 2026.

SAKI: Score-Aware Low-Rank Key Indexing with Random-Matrix Noise Correction for KV Retrieval arXiv, 2026

Reference 22

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Observation 2e7c1d99-389e-46c9-be6f-87eb38c3cb2e · outbound

This paper cites arXiv, 2026.

SAKI: Score-Aware Low-Rank Key Indexing with Random-Matrix Noise Correction for KV Retrieval arXiv, 2026

Reference 23

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source=pdf_text observed=2026-08-08T00:54:42.770672Z digest=sha256:215d15c3310c520e765b1fe02dcf78b534af8ac5da81a665e6e153f614ab2ac0

Observation 81795d7a-5a5f-48c4-884e-b338e7c26da3 · outbound

This paper cites arXiv, 2026.

SAKI: Score-Aware Low-Rank Key Indexing with Random-Matrix Noise Correction for KV Retrieval arXiv, 2026

Reference 24

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Pith citing papers

No inbound Pith citation observations are available.