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Paper Citation Record · LEDGER

LLMatic: Neural Architecture Search via Large Language Models and Quality Diversity Optimization

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2306.01102.

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

pith.paper-citation-record.v1
2306.01102 v8

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 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 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-02T08:13:04.275610Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-11T03:27:45.365887Z

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 9d8a07aa-ee6b-41c5-8c26-0df2afc4b794 · inbound

Closed-Loop LLM Discovery of Non-Standard Channel Priors in Vision Models cites this paper.

Closed-Loop LLM Discovery of Non-Standard Channel Priors in Vision Models LLMatic: Neural Architecture Search via Large Language Models and Quality Diversity Optimization

Reference 18

Resolution
verified exact
arxiv_id, observed 2026-05-16T14:38:00.554215Z

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=2026-05-16T14:34:24.849584Z digest=sha256:f46847e6f52f4b2b1c78f4fe69080b35098e849ad80e71b72f51893f5ee7c2f1

Observation 9179f4a9-b9b7-4576-9a68-399260817626 · inbound

Delta-Based Neural Architecture Search: LLM Fine-Tuning via Code Diffs cites this paper.

Delta-Based Neural Architecture Search: LLM Fine-Tuning via Code Diffs LLMatic: Neural Architecture Search via Large Language Models and Quality Diversity Optimization

Reference 36

Resolution
verified exact
arxiv_id, observed 2026-05-11T18:11:06.502761Z

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=2026-05-08T16:28:40.262681Z digest=sha256:438bdbf7aa56b44eb5a2b48b4e2c44f7df7fb8984dcdcf8fc31eb66f13300559

Observation 19e7872c-dad2-4992-936d-e1047d2fb1b2 · inbound

TacEvo: Self-Evolving Architecture Discovery for Robotic Tactile Perception via LLM-Driven Quality-Diversity Search cites this paper.

TacEvo: Self-Evolving Architecture Discovery for Robotic Tactile Perception via LLM-Driven Quality-Diversity Search LLMatic: Neural Architecture Search via Large Language Models and Quality Diversity Optimization

Reference 25

Resolution
metadata mismatch
arxiv_id, observed 2026-06-30T13:44:41.715848Z

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=2026-06-30T05:46:56.757334Z digest=sha256:adf2dc5c8129112e26481cf743e06b8520d983db0ca968b144521a5bc0056b47

Observation 71297b83-f788-42ea-bb3c-f3c0ef461db1 · inbound

LLM-Driven Neural Network Generation with Same-Family Architecture Guidance: Disentangling Transfer and Adaptation cites this paper.

LLM-Driven Neural Network Generation with Same-Family Architecture Guidance: Disentangling Transfer and Adaptation LLMatic: Neural Architecture Search via Large Language Models and Quality Diversity Optimization

Reference 18

Resolution
metadata mismatch
local_arxiv, observed 2026-07-11T03:27:45.389189Z

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=2026-07-11T03:26:40.346199Z digest=sha256:37f0f799609ba1a7c402d5da5233878b3c6edbb06a280ec5710875328f76133d

Observation 9314d172-39db-4e06-a11c-885336752981 · inbound

Scaling Closed-Loop Feature Channel Configuration with LLMs cites this paper.

Scaling Closed-Loop Feature Channel Configuration with LLMs LLMatic: Neural Architecture Search via Large Language Models and Quality Diversity Optimization

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-02T08:13:04.275610Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T08:13:04.275610Z digest=sha256:dca74941a5fd68599b7066a535aceba02854ee1f545aef2918095d457116d84a