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Paper Citation Record · LEDGER

LLaMA-NAS: Efficient Neural Architecture Search for Large Language Models

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2405.18377.

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

pith.paper-citation-record.v1
2405.18377 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 2026-08-07T06:34:17.273281+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T14:48:30.186039Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-30T07:34:22.000706Z

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 24b44234-c6ec-4912-be83-e92a4182d77d · inbound

Prune&Comp: Free Lunch for Layer-Pruned LLMs via Iterative Pruning with Magnitude Compensation cites this paper.

Prune&Comp: Free Lunch for Layer-Pruned LLMs via Iterative Pruning with Magnitude Compensation LLaMA-NAS: Efficient Neural Architecture Search for Large Language Models

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-06T14:48:30.186039Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T14:48:30.186039Z digest=sha256:dd47f5f0a901d54c64a01cadcaa6357342701ecaa049e7861b55078d27f8a5cc

Observation fe4cb32a-7dad-42ce-80de-e48f1fc3809d · inbound

Bilevel Optimization for Neural Architecture Search cites this paper.

Bilevel Optimization for Neural Architecture Search LLaMA-NAS: Efficient Neural Architecture Search for Large Language Models

Reference 105

Resolution
verified exact
arxiv_id, observed 2026-06-30T07:34:22.002369Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-30T07:25:50.831689Z digest=sha256:cf8a235c76cb005522f6d2240cdf70b73e90a93c223d5810d84367d353acf0ac