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Paper Citation Record · LEDGER

Training Neural Networks from Scratch with Parallel Low-Rank Adapters

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2402.16828.

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

pith.paper-citation-record.v1
2402.16828 v2

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 2026-08-10T06:31:04.303077+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:10:39.159366Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T07:46:46.149850Z

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 f5404af7-b812-471e-85f8-ac7ca1a458ad · inbound

One Rank at a Time: Cascading Error Dynamics in Sequential Learning cites this paper.

One Rank at a Time: Cascading Error Dynamics in Sequential Learning Training Neural Networks from Scratch with Parallel Low-Rank Adapters

Reference 88

Resolution
unresolved
no resolver link, observed 2026-08-07T13:10:39.159366Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:10:39.159366Z digest=sha256:88543332e15668497e97d9f66ca824f6ed3ca83017f9122859fe1d15be0da936

Observation 2ce61af2-eb89-4f7c-8869-fc49868830f0 · inbound

Learned Subspace Compression for Communication-Efficient Pipeline Parallelism cites this paper.

Learned Subspace Compression for Communication-Efficient Pipeline Parallelism Training Neural Networks from Scratch with Parallel Low-Rank Adapters

Reference 18

Resolution
verified exact
arxiv_id, observed 2026-07-02T07:46:46.151309Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-28T06:41:58.301482Z digest=sha256:b6ee2d76172529f7b6e88af8504917f96210c99f461d6022e5ac82e707117f49