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Paper Citation Record · LEDGER

Fast Jacobian-Vector Product for Deep Networks

As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2104.00219.

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

pith.paper-citation-record.v1
2104.00219 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 2026-08-16T06:30:59.297886+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T22:50:28.491015Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T01:00:40.207016Z

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 bf8d5a77-5e96-4a43-ab94-2b34547d5a1f · inbound

Adjoint sharding for very long context training of state space models cites this paper.

Adjoint sharding for very long context training of state space models Fast Jacobian-Vector Product for Deep Networks

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-10T22:50:28.491015Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:50:28.491015Z digest=sha256:b3a8e83439009187da5ead59ad68c50ed68fa2ab1de5dbe7da9658728e692ae8

Observation cf228774-692d-4cc4-95b2-7cd757d9118b · inbound

GrokAlign: Geometric Characterisation and Acceleration of Grokking cites this paper.

GrokAlign: Geometric Characterisation and Acceleration of Grokking Fast Jacobian-Vector Product for Deep Networks

Reference 27

Resolution
verified exact
local_arxiv, observed 2026-08-07T01:00:40.269490Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-07T01:00:38.763686Z digest=sha256:5145e4714ef3b359110f8acd0f984a5270967b6781094bf9525528ab4de242cc