Paper Citation Record · LEDGER

HSR-Enhanced Sparse Attention Acceleration

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2410.10165.

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

pith.paper-citation-record.v1
2410.10165 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 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 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T16:39:14.129545Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-13T20:58:45.232684Z

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 1cd1b651-399a-431f-86d5-f3f0e1ff5463 · inbound

Universal Approximation of Visual Autoregressive Transformers cites this paper.

Universal Approximation of Visual Autoregressive Transformers HSR-Enhanced Sparse Attention Acceleration

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-08T16:39:14.129545Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 81e3ff1e-15ca-4a96-8ad8-a79167ea6531 · inbound

Force Matching with Relativistic Constraints: A Physics-Inspired Approach to Stable and Efficient Generative Modeling cites this paper.

Force Matching with Relativistic Constraints: A Physics-Inspired Approach to Stable and Efficient Generative Modeling HSR-Enhanced Sparse Attention Acceleration

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-08T10:20:15.283385Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e1c7ada7-7a00-4393-86cc-f21411dd0f20 · inbound

Only Large Weights (And Not Skip Connections) Can Prevent the Perils of Rank Collapse cites this paper.

Only Large Weights (And Not Skip Connections) Can Prevent the Perils of Rank Collapse HSR-Enhanced Sparse Attention Acceleration

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-07T15:10:58.408350Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9080c963-ffc9-4845-92ad-73813b31a76e · inbound

A Survey of Context Engineering for Large Language Models cites this paper.

A Survey of Context Engineering for Large Language Models HSR-Enhanced Sparse Attention Acceleration

Reference 133

Resolution: verified exact; arxiv_id, observed 2026-05-13T20:58:45.235387Z

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.