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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 7 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 2026-08-07T06:34:17.273281+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=sha256:0e9e678a9c0b529932468af6fa7918a778c3f27386ae27d05c285db6a9d6a5eb

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:a83c67db8d38d3b7936eead8c61decfa77768b881d5f3151da71ee20457cdf9f

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:c2216478f85f89b99315daec3ba07f54921e44385caaa916d0244c4963fc75f7

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:bf07baded6cecd09a6d3bfcf8fa925cfe02712a1fdb18deb43851c51b561491f

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:d98d12e715e5fed76bfe96e2582134b711dab6cdf75f4b87a43208e21b644556

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:e929729d25857da68c215abe95e05e96876672f3cddd3faa4c54c4e66bca2d53

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=sha256:605774af65419558e06e077b1ce2ca85d6df361a38d6d5b651c9e5c8afebc0e2

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=sha256:5dbda392e12c0998adc5691d5fb5f3e982866c2febfc3033ce6c98967d9e50b8

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=sha256:0b4e5db6345a430abef724bcff59b33c4c4fc56818150efdf6d36c508a0bd2a5

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=sha256:389c553087ffe0b9c56dabe51234768c1317ba801399e5909f3fe25c5d340f32

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:c835257cf10a0a426611f330bf915238869a1e0f73794f63710c652338561789

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=sha256:0a214f7000da9f8096dfb02e00b5cc409a90e3e845967e817611b3f54fd94adc

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=sha256:11f37e1783acab9b00f39f8174bb1c6293c0ac3b6583d5907fd6dcb56e5af7fe

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=sha256:1bb96dbc9a21c5d96ac2b308407dfe4e53ae65ce0c9e754f71223946f8bc6742

Pith citing papers

No inbound Pith citation observations are available.