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Paper Citation Record · LEDGER

BurstAttention: An Efficient Distributed Attention Framework for Extremely Long Sequences

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2403.09347.

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

pith.paper-citation-record.v1
2403.09347 v4

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 2026-08-10T06:31:04.303077+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-30T16:05:41.950845Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-30T16:14:53.519875Z

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 67d9ab47-2568-47dc-bc80-e27bfe755a87 · inbound

HexiSeq: Accommodating Long Context Training of LLMs over Heterogeneous Hardware cites this paper.

HexiSeq: Accommodating Long Context Training of LLMs over Heterogeneous Hardware BurstAttention: An Efficient Distributed Attention Framework for Extremely Long Sequences

Reference 50

Resolution
verified exact
arxiv_id, observed 2026-05-11T03:00:55.523302Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-11T03:00:19.355357Z digest=sha256:7eaa944c4bf5ea58bf23b130b95ba976eb71dc0781e74ad34273bbe084af94cb

Observation 41a9b57f-f54d-4068-a596-018894a9dfd6 · inbound

Improved Belief-Attention in Vision Task cites this paper.

Improved Belief-Attention in Vision Task BurstAttention: An Efficient Distributed Attention Framework for Extremely Long Sequences

Reference 11

Resolution
verified exact
arxiv_id, observed 2026-06-30T16:14:53.521456Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-30T16:05:41.950845Z digest=sha256:ed20a77f59277fc6173e8247ca8dedb169afae42f2f574849087258953e0a43f