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Paper Citation Record · LEDGER

Faster Causal Attention Over Large Sequences Through Sparse Flash Attention

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2306.01160.

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

pith.paper-citation-record.v1
2306.01160 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 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 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T05:37:52.787126Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-15T02:39:33.679201Z

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 e540bd78-dbac-4989-8538-20f8a02a8093 · inbound

A Survey on Efficient Inference for Large Language Models cites this paper.

A Survey on Efficient Inference for Large Language Models Faster Causal Attention Over Large Sequences Through Sparse Flash Attention

Reference 160

Resolution
verified exact
arxiv_id, observed 2026-05-15T02:39:33.681914Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-15T02:39:33.007894Z digest=sha256:fffbbcdea8455bac0e235b734c5edaf39743e84b02010a5ce52ce2444132de20

Observation bbfdb19f-daaf-43af-b8c1-5dbaab7ca91b · inbound

MoQAE: Mixed-Precision Quantization for Long-Context LLM Inference via Mixture of Quantization-Aware Experts cites this paper.

MoQAE: Mixed-Precision Quantization for Long-Context LLM Inference via Mixture of Quantization-Aware Experts Faster Causal Attention Over Large Sequences Through Sparse Flash Attention

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-07T05:37:52.787126Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:37:52.787126Z digest=sha256:40774a8dfcfc89cb5d64ba2cb0e8bed591d6696b41d1e008e3b27ed9645ba53e