Paper Citation Record · LEDGER

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

As of 22 August 2026, this Paper Citation Record lists 26 of 26 outbound references and 0 inbound Pith citation observations for arXiv:2607.05704.

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

pith.paper-citation-record.v1
2607.05704 v1

Coverage vector

measured 26 of 26 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-11T03:26:40.346199Z

measured 26 of 26 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

26 of 26 outbound references displayed

verified exact6
verified fuzzy14
unresolved4
parse uncertain0
malformed identifier0
metadata mismatch2

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 8337e21f-2ffe-421a-a197-d788f2c87dcf · outbound

This paper cites Optuna: A next-generation hyperparameter optimization framework.

LLM-Driven Neural Network Generation with Same-Family Architecture Guidance: Disentangling Transfer and Adaptation Optuna: A next-generation hyperparameter optimization framework

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-07-11T03:27:47.586898Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 772b0d9e-5750-4cc1-b4fd-244ad9239900 · outbound

This paper cites Bergstra, Remi Bardenet, Yoshua Bengio, and Bal- azs Kegl.

LLM-Driven Neural Network Generation with Same-Family Architecture Guidance: Disentangling Transfer and Adaptation Bergstra, Remi Bardenet, Yoshua Bengio, and Bal- azs Kegl

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-07-11T03:27:47.189037Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation da54b1d6-fdc9-4b43-a654-da2dd91ceac2 · outbound

This paper cites an unresolved cited work.

LLM-Driven Neural Network Generation with Same-Family Architecture Guidance: Disentangling Transfer and Adaptation Unresolved cited work

Reference 3

Resolution: unresolved; raw_fallback, observed 2026-07-11T03:27:47.513505Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation de26e055-e4ae-4695-a5e5-7458375a678a · outbound

This paper cites Evaluating Large Language Models Trained on Code.

LLM-Driven Neural Network Generation with Same-Family Architecture Guidance: Disentangling Transfer and Adaptation Evaluating Large Language Models Trained on Code

Reference 4

Resolution: verified exact; local_arxiv, observed 2026-07-11T03:27:45.360441Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 0c61486a-20db-4b8d-a303-4e51df28cf5c · outbound

This paper cites Enhancing LLM-based neural network generation: Few-shot prompting and efficient vali- dation for automated architecture design.

LLM-Driven Neural Network Generation with Same-Family Architecture Guidance: Disentangling Transfer and Adaptation Enhancing LLM-based neural network generation: Few-shot prompting and efficient vali- dation for automated architecture design

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-07-11T03:27:47.464142Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 4e489e89-398a-4440-820d-f63f5107097f · outbound

This paper cites Neural architecture search: A survey.Journal of Machine Learning Research, 20(55):1–21.

LLM-Driven Neural Network Generation with Same-Family Architecture Guidance: Disentangling Transfer and Adaptation Neural architecture search: A survey.Journal of Machine Learning Research, 20(55):1–21

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-07-11T03:27:47.162423Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation f6a41cae-0a01-4dc4-8070-76deda681eec · outbound

This paper cites LEMUR Neural Network Dataset: Towards Seamless AutoML.

LLM-Driven Neural Network Generation with Same-Family Architecture Guidance: Disentangling Transfer and Adaptation LEMUR Neural Network Dataset: Towards Seamless AutoML

Reference 7

Resolution: verified exact; local_arxiv, observed 2026-07-11T03:27:45.300357Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation bc7665d2-23ae-4d99-baca-418d0349938b · outbound

This paper cites Resource- efficient iterative LLM-based NAS with feedback memory.

LLM-Driven Neural Network Generation with Same-Family Architecture Guidance: Disentangling Transfer and Adaptation Resource- efficient iterative LLM-based NAS with feedback memory

Reference 8

Resolution: verified exact; arxiv_id, observed 2026-07-11T03:27:45.419024Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation c2933c68-8ce7-48f6-80fe-a0915de403b6 · outbound

This paper cites EvoPrompt: Connecting LLMs with Evolutionary Algorithms Yields Powerful Prompt Optimizers.

LLM-Driven Neural Network Generation with Same-Family Architecture Guidance: Disentangling Transfer and Adaptation EvoPrompt: Connecting LLMs with Evolutionary Algorithms Yields Powerful Prompt Optimizers

Reference 9

Resolution: verified exact; local_arxiv, observed 2026-07-11T03:27:45.475083Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation b07c5111-e0c0-4e55-86e8-787365e9756e · outbound

This paper cites an unresolved cited work.

LLM-Driven Neural Network Generation with Same-Family Architecture Guidance: Disentangling Transfer and Adaptation Unresolved cited work

Reference 10

Resolution: unresolved; raw_fallback, observed 2026-07-11T03:27:47.327922Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation b9054a29-d78c-46bd-b850-6a11a69be9ee · outbound

This paper cites NNGPT: Rethinking AutoML with large language models.

LLM-Driven Neural Network Generation with Same-Family Architecture Guidance: Disentangling Transfer and Adaptation NNGPT: Rethinking AutoML with large language models

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-07-11T03:27:47.242165Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 85ae9f2f-3a4e-4278-8e68-d978703ea272 · outbound

This paper cites Retrieval-augmented generation for knowledge-intensive NLP tasks.

LLM-Driven Neural Network Generation with Same-Family Architecture Guidance: Disentangling Transfer and Adaptation Retrieval-augmented generation for knowledge-intensive NLP tasks

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-07-11T03:27:47.270080Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 830645c0-9ae9-4cb7-977c-34774aa9c237 · outbound

This paper cites Hyperband: A novel bandit-based approach to hyperparameter optimization.

LLM-Driven Neural Network Generation with Same-Family Architecture Guidance: Disentangling Transfer and Adaptation Hyperband: A novel bandit-based approach to hyperparameter optimization

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-07-11T03:27:47.212925Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 3f47ed42-1d41-41d5-aff1-37b085fc62da · outbound

This paper cites Competition- level code generation with AlphaCode.Science, 378(6624): 1092–1097, 2022.

LLM-Driven Neural Network Generation with Same-Family Architecture Guidance: Disentangling Transfer and Adaptation Competition- level code generation with AlphaCode.Science, 378(6624): 1092–1097, 2022

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-07-11T03:27:47.488788Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 17b6503a-32f6-4919-9e08-a39b940d428e · outbound

This paper cites Best practices for scien- tific research on neural architecture search.Journal of Ma- chine Learning Research, 21(243):1–18, 2020.

LLM-Driven Neural Network Generation with Same-Family Architecture Guidance: Disentangling Transfer and Adaptation Best practices for scien- tific research on neural architecture search.Journal of Ma- chine Learning Research, 21(243):1–18, 2020

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-07-11T03:27:47.302109Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 04ed7470-cf09-4580-88a7-576b4c5e1575 · outbound

This paper cites DARTS: Differentiable architecture search.

LLM-Driven Neural Network Generation with Same-Family Architecture Guidance: Disentangling Transfer and Adaptation DARTS: Differentiable architecture search

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-07-11T03:27:47.414123Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation ec011453-5fc6-46d1-94a1-c7036580381a · outbound

This paper cites Self-refine: Iterative refinement with self-feedback.

LLM-Driven Neural Network Generation with Same-Family Architecture Guidance: Disentangling Transfer and Adaptation Self-refine: Iterative refinement with self-feedback

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-07-11T03:27:47.441414Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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

This paper cites LLMatic: Neural Architecture Search via Large Language Models and Quality Diversity Optimization.

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 2026-08-22T06:32:14.747728+00:00.

Observation 61feee89-ac3f-4901-8b6a-5a4641dbb144 · outbound

This paper cites an unresolved cited work.

LLM-Driven Neural Network Generation with Same-Family Architecture Guidance: Disentangling Transfer and Adaptation Unresolved cited work

Reference 19

Resolution: unresolved; raw_fallback, observed 2026-07-11T03:27:47.539583Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 1c71f440-f1d4-46b1-8f5c-172495180db8 · outbound

This paper cites AutoML-Zero: Evolving Machine Learning Algorithms From Scratch.

LLM-Driven Neural Network Generation with Same-Family Architecture Guidance: Disentangling Transfer and Adaptation AutoML-Zero: Evolving Machine Learning Algorithms From Scratch

Reference 20

Resolution: verified exact; local_arxiv, observed 2026-07-11T03:27:45.326886Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 5420d4a6-e44e-4abb-94de-af1cbb9dbb83 · outbound

This paper cites Reflex- ion: Language agents with verbal reinforcement learning.

LLM-Driven Neural Network Generation with Same-Family Architecture Guidance: Disentangling Transfer and Adaptation Reflex- ion: Language agents with verbal reinforcement learning

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-07-11T03:27:47.136367Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation ea3bc1ab-df1e-4b1f-bec4-eeec2057f4d8 · outbound

This paper cites an unresolved cited work.

LLM-Driven Neural Network Generation with Same-Family Architecture Guidance: Disentangling Transfer and Adaptation Unresolved cited work

Reference 22

Resolution: unresolved; raw_fallback, observed 2026-07-11T03:27:47.358211Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation ed1dfcc2-43df-4dad-871a-9c866acc02c1 · outbound

This paper cites LEMUR 2: Unlocking neural net- work diversity for AI.

LLM-Driven Neural Network Generation with Same-Family Architecture Guidance: Disentangling Transfer and Adaptation LEMUR 2: Unlocking neural net- work diversity for AI

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-07-11T03:27:47.386813Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation bc372f1f-63c7-44f7-b057-1f697bb237ff · outbound

This paper cites Large Language Models as Optimizers.

LLM-Driven Neural Network Generation with Same-Family Architecture Guidance: Disentangling Transfer and Adaptation Large Language Models as Optimizers

Reference 24

Resolution: metadata mismatch; local_arxiv, observed 2026-07-11T03:27:45.500929Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 8dd83006-649e-469d-97d3-9b9c185661ba · outbound

This paper cites ReAct: Synergizing reasoning and acting in language models.

LLM-Driven Neural Network Generation with Same-Family Architecture Guidance: Disentangling Transfer and Adaptation ReAct: Synergizing reasoning and acting in language models

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-07-11T03:27:47.562712Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation db809426-3d31-403b-86c6-3550c9349f4c · outbound

This paper cites Neural Architecture Search with Reinforcement Learning.

LLM-Driven Neural Network Generation with Same-Family Architecture Guidance: Disentangling Transfer and Adaptation Neural Architecture Search with Reinforcement Learning

Reference 26

Resolution: verified exact; local_arxiv, observed 2026-07-11T03:27:45.445234Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Pith citing papers

No inbound Pith citation observations are available.