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Paper Citation Record · LEDGER

A Training-free Sub-quadratic Cost Transformer Model Serving Framework With Hierarchically Pruned Attention

As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2406.09827.

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

pith.paper-citation-record.v1
2406.09827 v3

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 2026-08-23T06:30:58.430688+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T23:19:37.877479Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T23:19:38.619168Z

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 1abf58e2-42c7-4a8f-906b-62e7cc0517d9 · inbound

InfiniteHiP: Extending Language Model Context Up to 3 Million Tokens on a Single GPU cites this paper.

InfiniteHiP: Extending Language Model Context Up to 3 Million Tokens on a Single GPU A Training-free Sub-quadratic Cost Transformer Model Serving Framework With Hierarchically Pruned Attention

Reference 18

Resolution
verified exact
local_arxiv, observed 2026-08-07T23:19:38.625454Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-07T23:19:37.877479Z digest=sha256:60a4fda629f3f1cca6cf9b5e5a6b0bb2bdc044045ab8ed0293733419cac65d0a

Observation 38fe05fb-1178-4439-8c23-8595ac381ef6 · inbound

Controllably Efficient Language Models cites this paper.

Controllably Efficient Language Models A Training-free Sub-quadratic Cost Transformer Model Serving Framework With Hierarchically Pruned Attention

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-03T23:33:57.502308Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-03T23:33:57.502308Z digest=sha256:b4caf0ec99553d619f73433c1b07c9146c34ba6b7371de50ec8dc11103655e82