Paper Citation Record · LEDGER

Multi-Layer Transformers Gradient Can be Approximated in Almost Linear Time

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2408.13233.

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

pith.paper-citation-record.v1
2408.13233 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 2026-08-09T06:31:02.800959+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T16:39:14.235842Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

2
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation c3f26e8f-2dc7-4dea-8940-3ad8ebe86040 · inbound

Universal Approximation of Visual Autoregressive Transformers cites this paper.

Universal Approximation of Visual Autoregressive Transformers Multi-Layer Transformers Gradient Can be Approximated in Almost Linear Time

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-08T16:39:14.235842Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ff9ebee8-c2c2-40b2-88bf-cef2552a20cf · 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 Multi-Layer Transformers Gradient Can be Approximated in Almost Linear Time

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-08T10:20:15.414553Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 27335392-8eab-45ff-b9d4-e10df6807577 · 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 Multi-Layer Transformers Gradient Can be Approximated in Almost Linear Time

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-07T15:11:01.085476Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4c338d25-7b7a-48f0-9bde-7005007a57a1 · inbound

GRACE: A Dynamic Coreset Selection Framework for Large Language Model Optimization cites this paper.

GRACE: A Dynamic Coreset Selection Framework for Large Language Model Optimization Multi-Layer Transformers Gradient Can be Approximated in Almost Linear Time

Reference 50

Resolution: verified exact; arxiv_id, observed 2026-05-10T20:30:48.976461Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.