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Paper Citation Record · LEDGER

Gradient dynamics for low-rank fine-tuning beyond kernels

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2411.15385.

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

pith.paper-citation-record.v1
2411.15385 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 2026-08-08T06:32:00.761636+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T21:56:27.937594Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T11:42:35.557822Z

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 98c220fe-5550-4078-a9af-aa78bbf0f120 · inbound

LoRA Training Provably Converges to a Low-Rank Global Minimum or It Fails Loudly (But it Probably Won't Fail) cites this paper.

LoRA Training Provably Converges to a Low-Rank Global Minimum or It Fails Loudly (But it Probably Won't Fail) Gradient dynamics for low-rank fine-tuning beyond kernels

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-07T21:56:27.937594Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T21:56:27.937594Z digest=sha256:d735764affba26c61e64c1d671a07f3b444f3d39a77fd8fac3863a961f92f535

Observation 041102b9-2251-4a42-8ab1-c4229f97642f · inbound

Mixture of Experts Provably Detect and Learn the Latent Cluster Structure in Gradient-Based Learning cites this paper.

Mixture of Experts Provably Detect and Learn the Latent Cluster Structure in Gradient-Based Learning Gradient dynamics for low-rank fine-tuning beyond kernels

Reference 1262

Resolution
metadata mismatch
local_arxiv, observed 2026-08-07T11:42:35.567643Z

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=2026-08-07T11:42:35.441065Z digest=sha256:44173b0be54eeac823413eddae7b9d6959176aec499254857ea2d654aef2d73c