Paper Citation Record · LEDGER

LEMUR Neural Network Dataset: Towards Seamless AutoML

As of 6 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 17 inbound Pith citation observations for arXiv:2504.10552.

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

pith.paper-citation-record.v1
2504.10552 v4

Coverage vector

measured 0 of 0 reference resolution

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Source: paper_references, paper_reference_links

measured 17 of 17 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-06T06:34:29.942622+00:00

measured 17 of 17 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-02T08:13:03.645303Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-11T03:27:45.276446Z

Reference resolution

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External citation measurements

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Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation d9445dbc-0548-45a8-8d9b-f96eab9d5f29 · inbound

Preparation of Fractal-Inspired Computational Architectures for Advanced Large Language Model Analysis cites this paper.

Preparation of Fractal-Inspired Computational Architectures for Advanced Large Language Model Analysis LEMUR Neural Network Dataset: Towards Seamless AutoML

Reference 4

Resolution: verified exact; arxiv_id, observed 2026-06-02T03:03:59.122865Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 67c30252-d287-40e5-a3d5-05df6742d4a0 · inbound

Preparation of Fractal-Inspired Computational Architectures for Advanced Large Language Model Analysis cites this paper.

Preparation of Fractal-Inspired Computational Architectures for Advanced Large Language Model Analysis LEMUR Neural Network Dataset: Towards Seamless AutoML

Reference 4

Resolution: verified exact; arxiv_id, observed 2026-06-02T03:03:59.122865Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 115089eb-08cb-418e-b5d3-1940e8c58662 · inbound

A Retrieval-Augmented Generation Approach to Extracting Algorithmic Logic from Neural Networks cites this paper.

A Retrieval-Augmented Generation Approach to Extracting Algorithmic Logic from Neural Networks LEMUR Neural Network Dataset: Towards Seamless AutoML

Reference 18

Resolution: verified exact; arxiv_id, observed 2026-06-02T03:03:59.122865Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 14bc9d48-bbf4-4b0f-ad74-12af206b53d3 · inbound

Enhancing LLM-Based Neural Network Generation: Few-Shot Prompting and Efficient Validation for Automated Architecture Design cites this paper.

Enhancing LLM-Based Neural Network Generation: Few-Shot Prompting and Efficient Validation for Automated Architecture Design LEMUR Neural Network Dataset: Towards Seamless AutoML

Reference 8

Resolution: verified exact; arxiv_id, observed 2026-06-02T03:03:59.122865Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 8a903e6b-9be3-4557-a71c-3219dbfc25dd · 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 LEMUR Neural Network Dataset: Towards Seamless AutoML

Reference 33

Resolution: metadata mismatch; arxiv_id, observed 2026-06-02T03:03:59.122865Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 63fcb8a1-8f4f-41cc-9acb-f1290134ce80 · inbound

MobileAgeNet: Lightweight Facial Age Estimation for Mobile Deployment cites this paper.

MobileAgeNet: Lightweight Facial Age Estimation for Mobile Deployment LEMUR Neural Network Dataset: Towards Seamless AutoML

Reference 8

Resolution: verified exact; arxiv_id, observed 2026-06-02T03:03:59.122865Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 6b7434b7-b6d1-430c-a76a-ce5120221cd6 · inbound

Real Image Denoising with Knowledge Distillation for High-Performance Mobile NPUs cites this paper.

Real Image Denoising with Knowledge Distillation for High-Performance Mobile NPUs LEMUR Neural Network Dataset: Towards Seamless AutoML

Reference 10

Resolution: verified exact; arxiv_id, observed 2026-06-02T03:03:59.122865Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation fea34339-4ca5-47a8-8b1d-b5f06f98d3a8 · inbound

From Code to Prediction: Fine-Tuning LLMs for Neural Network Performance Classification in NNGPT cites this paper.

From Code to Prediction: Fine-Tuning LLMs for Neural Network Performance Classification in NNGPT LEMUR Neural Network Dataset: Towards Seamless AutoML

Reference 4

Resolution: verified exact; arxiv_id, observed 2026-06-02T03:03:59.122865Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 99913c3c-9c48-4633-83b2-4168145fbf54 · inbound

From Code to Prediction: Fine-Tuning LLMs for Neural Network Performance Classification in NNGPT cites this paper.

From Code to Prediction: Fine-Tuning LLMs for Neural Network Performance Classification in NNGPT LEMUR Neural Network Dataset: Towards Seamless AutoML

Reference 4

Resolution: verified exact; arxiv_id, observed 2026-06-02T03:03:59.122865Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 758b29f4-e5d8-49e3-9fb4-f65750a94e93 · 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 LEMUR Neural Network Dataset: Towards Seamless AutoML

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-06-02T03:03:59.122865Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 85c77cb4-05f6-44ea-9316-481be35496cf · inbound

Convergence Theory for Iterative LLM-Based Neural Architecture Search: A Parametric Cross-Entropy Framework with Closed-Form Proxy Reliability cites this paper.

Convergence Theory for Iterative LLM-Based Neural Architecture Search: A Parametric Cross-Entropy Framework with Closed-Form Proxy Reliability LEMUR Neural Network Dataset: Towards Seamless AutoML

Reference 3

Resolution: metadata mismatch; local_arxiv, observed 2026-06-29T09:03:16.064392Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 8b3f57cc-edec-4914-bc08-065ed7750d21 · inbound

Towards Robust Training in NNGPT AutoML Pipeline: A Loss-Optimizer Pairing Selection Study cites this paper.

Towards Robust Training in NNGPT AutoML Pipeline: A Loss-Optimizer Pairing Selection Study LEMUR Neural Network Dataset: Towards Seamless AutoML

Reference 9

Resolution: verified exact; local_arxiv, observed 2026-07-04T03:39:30.570610Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation de912c23-f643-43b2-bcca-bc35ead57b21 · inbound

Systematic Exploration of 4-Expert Heterogeneous Mixture-of-Experts via Automated Pipeline Search cites this paper.

Systematic Exploration of 4-Expert Heterogeneous Mixture-of-Experts via Automated Pipeline Search LEMUR Neural Network Dataset: Towards Seamless AutoML

Reference 8

Resolution: verified exact; local_arxiv, observed 2026-07-04T08:59:42.666659Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation f6a41cae-0a01-4dc4-8070-76deda681eec · 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 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 2026-08-06T06:34:29.942622+00:00.

Observation 7e0bc5e2-f620-47c3-b4c9-e0df0e144299 · inbound

Systematic Evaluation of Learning Rate Scheduling Strategies Across Heterogeneous Architectures cites this paper.

Systematic Evaluation of Learning Rate Scheduling Strategies Across Heterogeneous Architectures LEMUR Neural Network Dataset: Towards Seamless AutoML

Reference 1

Resolution: verified exact; local_arxiv, observed 2026-07-10T06:16:51.284448Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 95895342-3ef8-44d3-a4af-2fb08b3a08ae · inbound

Similarity-Guided Curriculum Fine-Tuning of LLMs for Neural Architecture Synthesis cites this paper.

Reference 2

Resolution: unresolved; no resolver link, observed 2026-07-14T04:33:33.238860Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 37142e7f-1ad4-4df4-b52e-ad4176ffca9e · inbound

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

Scaling Closed-Loop Feature Channel Configuration with LLMs LEMUR Neural Network Dataset: Towards Seamless AutoML

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-02T08:13:03.645303Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.