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Paper Citation Record · LEDGER

Large-time asymptotics in deep learning

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2008.02491.

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

pith.paper-citation-record.v1
2008.02491 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 2026-08-06T22:33:19.403423Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-16T05:50:40.303813Z

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 19452589-826e-48a9-879b-6fa89cf72481 · inbound

Towards an Optimal Control Perspective of ResNet Training cites this paper.

Towards an Optimal Control Perspective of ResNet Training Large-time asymptotics in deep learning

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-06T22:33:19.403423Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:33:19.403423Z digest=sha256:860ce2a5dcba49c2cfd1e7eee0b0377a7b77a3ff3f7525b904feddd0c883cddf

Observation 5e7b399b-64c1-4f3a-8ec4-f96880616beb · inbound

Physics- and geometry-aware spatio-spectral graph neural operator for time-independent and time-dependent PDEs cites this paper.

Physics- and geometry-aware spatio-spectral graph neural operator for time-independent and time-dependent PDEs Large-time asymptotics in deep learning

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-05T20:59:36.862898Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T20:59:36.862898Z digest=sha256:f54221663724d89b915b98bb73a0d399f4906424c2baf8fb83a9a2b5c2b8d2ab

Observation 262a21f3-a2d9-4cbe-b8c9-327143904bed · inbound

Attention's forward pass and Frank-Wolfe cites this paper.

Attention's forward pass and Frank-Wolfe Large-time asymptotics in deep learning

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-05T21:05:01.408879Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T21:05:01.408879Z digest=sha256:bf71ac41a0ad5be5dd85e25bc04d4ec7a689be8fb6373084d2e022adef3718b7

Observation ba4b6087-c029-4d24-90c9-952c6431219d · inbound

Constructive conditional normalizing flows cites this paper.

Constructive conditional normalizing flows Large-time asymptotics in deep learning

Reference 6

Resolution
verified exact
arxiv_id, observed 2026-05-16T05:50:40.305965Z

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.

source=pdf_text observed=2026-05-16T05:48:43.888893Z digest=sha256:d383a1473493a8de415fe6e802b9fa34cb5504d83737eba038d1dc07f3c93beb