Paper Citation Record · LEDGER

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

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 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 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T01:00:02.145689Z

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 e123f6ea-4f39-4619-b712-2da00e805ba9 · inbound

LLMs as Debate Partners: Utilizing Genetic Algorithms and Adversarial Search for Adaptive Arguments cites this paper.

LLMs as Debate Partners: Utilizing Genetic Algorithms and Adversarial Search for Adaptive Arguments LLaMA-NAS: Efficient Neural Architecture Search for Large Language Models

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-11T19:55:52.766958Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ca54efa4-926e-401d-a1bd-5f7b22efbd9f · inbound

Optimizing LLMs for Resource-Constrained Environments: A Survey of Model Compression Techniques cites this paper.

Optimizing LLMs for Resource-Constrained Environments: A Survey of Model Compression Techniques LLaMA-NAS: Efficient Neural Architecture Search for Large Language Models

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-16T01:00:02.145689Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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.

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 2026-08-21T06:32:19.484+00:00.