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Paper Citation Record · LEDGER

LiteTopK: Exploiting the Curse of Dimensionality for a Fused Indexer-TopK Kernel in Long-Context Sparse Attention

As of 9 August 2026, this Paper Citation Record lists 14 of 14 outbound references and 0 inbound Pith citation observations for arXiv:2607.11976.

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

pith.paper-citation-record.v1
2607.11976 v3

Coverage vector

measured 14 of 14 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-02T07:07:40.303218Z

measured 14 of 14 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+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

14 of 14 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved14
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 86726c55-354b-407b-8e45-4699393a5fb8 · outbound

This paper cites DeepSeek-V3.2: Pushing the Frontier of Open Large Language Models.

LiteTopK: Exploiting the Curse of Dimensionality for a Fused Indexer-TopK Kernel in Long-Context Sparse Attention DeepSeek-V3.2: Pushing the Frontier of Open Large Language Models

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-02T07:07:39.527812Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T07:07:39.527812Z digest=sha256:c9ffac2147e3cab2e0f5ceefaba8ced23c626fcbf6ef18e109beb5a8a4c6e9aa

Observation 227c71dd-034c-4618-9371-d768c477edb6 · outbound

This paper cites The sparse frontier: Sparse attention trade-offs in transformer llms.

LiteTopK: Exploiting the Curse of Dimensionality for a Fused Indexer-TopK Kernel in Long-Context Sparse Attention The sparse frontier: Sparse attention trade-offs in transformer llms

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-02T07:07:39.696358Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T07:07:39.696358Z digest=sha256:f7e3d819d6c8924a012316e066d41ee5d6ca20d0ed6f9c5fc63f9f868c0cf3c9

Observation d6e0843e-0a13-4661-bc96-c07069e3fccb · outbound

This paper cites Sparq attention: Bandwidth-efficient LLM inference.

LiteTopK: Exploiting the Curse of Dimensionality for a Fused Indexer-TopK Kernel in Long-Context Sparse Attention Sparq attention: Bandwidth-efficient LLM inference

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-02T07:07:39.782276Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T07:07:39.782276Z digest=sha256:31bd120571e0081730e5e9c787ec3caae2ed06a147a42e2ac3659d5a96e60e26

Observation dff7b74b-a10c-4dba-bbb3-fdc41ad26aed · outbound

This paper cites Exploiting Sparsity for Long Context Inference: Million Token Contexts on Commodity GPUs.

LiteTopK: Exploiting the Curse of Dimensionality for a Fused Indexer-TopK Kernel in Long-Context Sparse Attention Exploiting Sparsity for Long Context Inference: Million Token Contexts on Commodity GPUs

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-02T07:07:39.861302Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T07:07:39.861302Z digest=sha256:bf3e596057d4b505d8d7c2cb19ae652858e6e11880a3349ac6925386c580e3ba

Observation 33deba7c-a93c-4370-bc62-0018a9ab0905 · outbound

This paper cites A quantitative analysis and performance study for similarity-search methods in high-dimensional spaces.

LiteTopK: Exploiting the Curse of Dimensionality for a Fused Indexer-TopK Kernel in Long-Context Sparse Attention A quantitative analysis and performance study for similarity-search methods in high-dimensional spaces

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-02T07:07:40.060269Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T07:07:40.060269Z digest=sha256:6daf07b98ab72c74fd9956ed27995f5591216d08b6454fe4705aa315b9f1d144

Observation 74f291bc-e6d6-43cb-8e82-2be7d455b3b8 · outbound

This paper cites Less Is More: Fast and Accurate Reasoning with Cross-Head Unified Sparse Attention.

LiteTopK: Exploiting the Curse of Dimensionality for a Fused Indexer-TopK Kernel in Long-Context Sparse Attention Less Is More: Fast and Accurate Reasoning with Cross-Head Unified Sparse Attention

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-02T07:07:40.145757Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T07:07:40.145757Z digest=sha256:2afe9c3acb654315bbe397a16f226c8bc70e97ca7ad44f7a7ef7b0bf1cce7745

Observation 1207151b-9498-458e-a7bb-bd7907e1cb0d · outbound

This paper cites BBC: Improving Large-k Approximate Nearest Neighbor Search with a Bucket-based Result Collector.

LiteTopK: Exploiting the Curse of Dimensionality for a Fused Indexer-TopK Kernel in Long-Context Sparse Attention BBC: Improving Large-k Approximate Nearest Neighbor Search with a Bucket-based Result Collector

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-02T07:07:40.303218Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T07:07:40.303218Z digest=sha256:7d483d673695773bca48a6d78599f4cd041ba6be5fee82cd08a35d6c5a239374

Observation 20f69d09-6432-4557-ab2c-eaebc22858c5 · outbound

This paper cites Interactrank: Personalized web-scale search pre-ranking with cross interaction features.

LiteTopK: Exploiting the Curse of Dimensionality for a Fused Indexer-TopK Kernel in Long-Context Sparse Attention Interactrank: Personalized web-scale search pre-ranking with cross interaction features

Reference 1998

Resolution
unresolved
no resolver link, observed 2026-08-02T07:07:39.327612Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T07:07:39.327612Z digest=sha256:ff7317b1410398ddb9618fd57e3d36be9b5f25c3613c9e2120df6115b582827d

Observation 302aad19-635e-4975-a7a2-e76717c12b7a · outbound

This paper cites Index- cache: Accelerating sparse attention via cross-layer index reuse.arXiv preprint arXiv:2603.12201,.

LiteTopK: Exploiting the Curse of Dimensionality for a Fused Indexer-TopK Kernel in Long-Context Sparse Attention Index- cache: Accelerating sparse attention via cross-layer index reuse.arXiv preprint arXiv:2603.12201,

Reference 2012

Resolution
unresolved
no resolver link, observed 2026-08-02T07:07:39.131375Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T07:07:39.131375Z digest=sha256:80404cd72f14f8508c851016bc3cd6d0117167c956b3459a34b54c5a7e352d11

Observation 9bdda9c0-075b-4a34-9df4-f87ba0108bcd · outbound

This paper cites Embedding And Clustering Your Data Can Improve Contrastive Pretraining.

LiteTopK: Exploiting the Curse of Dimensionality for a Fused Indexer-TopK Kernel in Long-Context Sparse Attention Embedding And Clustering Your Data Can Improve Contrastive Pretraining

Reference 2016

Resolution
unresolved
no resolver link, observed 2026-08-02T07:07:39.617592Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T07:07:39.617592Z digest=sha256:623cd17c8b1a8b7d7115b596643da3b72818bfdfb3f857812a552dbc2a090f6b

Observation 48eb18f1-d0aa-420c-bb1e-07e3a387dcbf · outbound

This paper cites MiniMax Sparse Attention.

LiteTopK: Exploiting the Curse of Dimensionality for a Fused Indexer-TopK Kernel in Long-Context Sparse Attention MiniMax Sparse Attention

Reference 2023

Resolution
unresolved
no resolver link, observed 2026-08-02T07:07:39.402568Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T07:07:39.402568Z digest=sha256:a0865664bdaf68016939faf1e1b2e788979668e2d6b2866e319ae7739f2100b2

Observation 5f6d1ad0-55a4-41c8-8a7e-2c7507b1584d · outbound

This paper cites Approximate nearest neighbors: Towards removing the curse of dimensionality.

LiteTopK: Exploiting the Curse of Dimensionality for a Fused Indexer-TopK Kernel in Long-Context Sparse Attention Approximate nearest neighbors: Towards removing the curse of dimensionality

Reference 2024

Resolution
unresolved
no resolver link, observed 2026-08-02T07:07:39.259346Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T07:07:39.259346Z digest=sha256:ae8c728d2bb9ce6156e3367c13c558cb86068d61f470a1f031eaf5bfc2a69b93

Observation 47653db3-2490-44eb-8acc-25f645a41c6c · outbound

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

LiteTopK: Exploiting the Curse of Dimensionality for a Fused Indexer-TopK Kernel in Long-Context Sparse Attention Quest: Query-Aware Sparsity for Efficient Long-Context LLM Inference

Reference 2025

Resolution
unresolved
no resolver link, observed 2026-08-02T07:07:39.938460Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T07:07:39.938460Z digest=sha256:f69919efd023c4a487048a242e3cf0163160e77c8d78ef5bd025e3cc693f836b

Observation 15795971-8add-4a91-a9f1-a2279e2b9839 · outbound

This paper cites GLM-5: from Vibe Coding to Agentic Engineering.

LiteTopK: Exploiting the Curse of Dimensionality for a Fused Indexer-TopK Kernel in Long-Context Sparse Attention GLM-5: from Vibe Coding to Agentic Engineering

Reference 2026

Resolution
unresolved
no resolver link, observed 2026-08-02T07:07:39.192711Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T07:07:39.192711Z digest=sha256:bc9936572635157e945203eb4f41274df80f68c4a4cabd463df56eea6c50c493

Pith citing papers

No inbound Pith citation observations are available.