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Paper Citation Record · LEDGER

An Overview of Low-Rank Structures in the Training and Adaptation of Large Models

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2503.19859.

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

pith.paper-citation-record.v1
2503.19859 v3

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 2026-06-27T21:04:42.952768Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T03:19:31.532844Z

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 12a86e15-246f-4e62-912f-d180e5a8382c · inbound

Spectral Condition for $\mu$P under Width-Depth Scaling cites this paper.

Spectral Condition for $\mu$P under Width-Depth Scaling An Overview of Low-Rank Structures in the Training and Adaptation of Large Models

Reference 2

Resolution
metadata mismatch
arxiv_id, observed 2026-07-09T02:19:36.219122Z

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.

source=pdf_text observed=2026-05-15T18:03:31.202134Z digest=sha256:2ae0573496bd853ddd189ce6488375ea20739822ee43af374c52c512a9938aa9

Observation e081f86e-10ad-43e0-aa7c-e06f3912a929 · inbound

Pointwise Generalization in Deep Neural Networks cites this paper.

Pointwise Generalization in Deep Neural Networks An Overview of Low-Rank Structures in the Training and Adaptation of Large Models

Reference 164

Resolution
verified exact
arxiv_id, observed 2026-07-09T02:19:36.219122Z

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.

source=arxiv_source observed=2026-05-20T12:34:28.962887Z digest=sha256:09b3dfb0425dfecdf5224312cd32ae13b5da6c7ac73ee637ed450c2659a885ec

Observation b658f4f1-ab59-4a49-970a-647ecda08348 · inbound

The Effect of Training Task Diversity on In-Context Learning through the Lens of Low-Dimensional Subspaces cites this paper.

The Effect of Training Task Diversity on In-Context Learning through the Lens of Low-Dimensional Subspaces An Overview of Low-Rank Structures in the Training and Adaptation of Large Models

Reference 56

Resolution
verified exact
arxiv_id, observed 2026-07-09T02:19:36.219122Z

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.

source=arxiv_source observed=2026-06-27T21:04:42.952768Z digest=sha256:4825614792cd6c206c333cd6bc307b562373c05e3a9d464866063175d5a00f90

Observation dadf08f0-c167-48b5-b97e-6ab3afd9052b · inbound

Activation- and Influence-Aware Ranks (AIR): Function-Preserving SVD Compression for LLMs cites this paper.

Activation- and Influence-Aware Ranks (AIR): Function-Preserving SVD Compression for LLMs An Overview of Low-Rank Structures in the Training and Adaptation of Large Models

Reference 168

Resolution
verified exact
arxiv_id, observed 2026-07-09T02:19:36.219122Z

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.

source=arxiv_source observed=2026-06-26T18:09:17.414031Z digest=sha256:3e7ae0bc31d8aef5ad798475c0adbce04ed9044ded864f982c872471ed97af4e