Paper Citation Record · LEDGER

How Sparse Attention Approximates Exact Attention? Your Attention is Naturally $n^C$-Sparse

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 11 inbound Pith citation observations for arXiv:2404.02690.

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

pith.paper-citation-record.v1
2404.02690 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 11 of 11 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 11 of 11 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:39:03.324221Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-20T14:43:22.563022Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 6b5812cf-0fcc-4015-8a02-991f2e04b931 · inbound

RetrievalAttention: Accelerating Long-Context LLM Inference via Vector Retrieval cites this paper.

RetrievalAttention: Accelerating Long-Context LLM Inference via Vector Retrieval How Sparse Attention Approximates Exact Attention? Your Attention is Naturally $n^C$-Sparse

Reference 61

Resolution: metadata mismatch; arxiv_id, observed 2026-05-18T08:12:02.011756Z

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.

Observation 306b84cf-2d37-462e-b28a-8c935a3f14ce · inbound

RetroInfer: A Vector Storage Engine for Scalable Long-Context LLM Inference cites this paper.

RetroInfer: A Vector Storage Engine for Scalable Long-Context LLM Inference How Sparse Attention Approximates Exact Attention? Your Attention is Naturally $n^C$-Sparse

Reference 23

Resolution: verified exact; arxiv_id, observed 2026-05-09T06:35:25.134551Z

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.

Observation 9b8de900-60eb-4bab-8ac4-71d127049db3 · inbound

SALE : Low-bit Estimation for Efficient Sparse Attention in Long-context LLM Prefilling cites this paper.

SALE : Low-bit Estimation for Efficient Sparse Attention in Long-context LLM Prefilling How Sparse Attention Approximates Exact Attention? Your Attention is Naturally $n^C$-Sparse

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-07T12:39:03.324221Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a6c6c0d2-b311-4656-a2ea-ccd32cfdedfb · inbound

EARN: Efficient Inference Acceleration for LLM-based Generative Recommendation by Register Tokens cites this paper.

EARN: Efficient Inference Acceleration for LLM-based Generative Recommendation by Register Tokens How Sparse Attention Approximates Exact Attention? Your Attention is Naturally $n^C$-Sparse

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-06T21:18:46.851223Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eff45d7b-c6ee-48fb-9095-99acb06129ed · inbound

DeltaLLM: A Training-Free Framework Exploiting Temporal Sparsity for Efficient Edge LLM Inference cites this paper.

DeltaLLM: A Training-Free Framework Exploiting Temporal Sparsity for Efficient Edge LLM Inference How Sparse Attention Approximates Exact Attention? Your Attention is Naturally $n^C$-Sparse

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-06T14:17:44.221622Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0bfba7ea-7231-457d-8cc2-e55107447ccd · inbound

Unifying Learning Dynamics and Generalization in Transformers Scaling Law cites this paper.

Unifying Learning Dynamics and Generalization in Transformers Scaling Law How Sparse Attention Approximates Exact Attention? Your Attention is Naturally $n^C$-Sparse

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-03T14:02:56.657443Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 682b3543-8763-4ac2-ac00-c0bb4ecce3cd · inbound

AdaCluster: Adaptive Query-Key Clustering for Sparse Attention in Video Generation cites this paper.

AdaCluster: Adaptive Query-Key Clustering for Sparse Attention in Video Generation How Sparse Attention Approximates Exact Attention? Your Attention is Naturally $n^C$-Sparse

Reference 8

Resolution: verified exact; arxiv_id, observed 2026-05-10T09:43:49.771996Z

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.

Observation b8f0bd32-a0d4-457d-8005-c787e396ee0c · inbound

Unifying Sparse Attention with Hierarchical Memory for Scalable Long-Context LLM Serving cites this paper.

Unifying Sparse Attention with Hierarchical Memory for Scalable Long-Context LLM Serving How Sparse Attention Approximates Exact Attention? Your Attention is Naturally $n^C$-Sparse

Reference 18

Resolution: verified exact; arxiv_id, observed 2026-05-12T09:01:25.970065Z

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.

Observation 7bd1e6bb-a2e3-4e1f-aade-e22b7ce1ed6c · inbound

Make Each Token Count: Towards Improving Long-Context Performance with KV Cache Eviction cites this paper.

Make Each Token Count: Towards Improving Long-Context Performance with KV Cache Eviction How Sparse Attention Approximates Exact Attention? Your Attention is Naturally $n^C$-Sparse

Reference 8

Resolution: verified exact; arxiv_id, observed 2026-05-12T05:41:26.694598Z

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.

Observation 270bd426-51b4-4746-9629-c86ccca39f24 · inbound

HierEdit: Region-Aware Hierarchical Diffusion for Efficient High-Resolution Editing cites this paper.

HierEdit: Region-Aware Hierarchical Diffusion for Efficient High-Resolution Editing How Sparse Attention Approximates Exact Attention? Your Attention is Naturally $n^C$-Sparse

Reference 13

Resolution: verified exact; arxiv_id, observed 2026-05-20T14:43:22.565139Z

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.

Observation 788cdefd-0f10-471b-b781-cc76670f2e2d · inbound

SPADE: An Input-Adaptive Sparse Attention Engine for Fast Video Diffusion Models Inference cites this paper.

SPADE: An Input-Adaptive Sparse Attention Engine for Fast Video Diffusion Models Inference How Sparse Attention Approximates Exact Attention? Your Attention is Naturally $n^C$-Sparse

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-05T20:50:03.960063Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.