Paper Citation Record · LEDGER

Scaling Closed-Loop Feature Channel Configuration with LLMs

As of 7 August 2026, this Paper Citation Record lists 24 of 24 outbound references and 0 inbound Pith citation observations for arXiv:2607.20516.

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

pith.paper-citation-record.v1
2607.20516 v1

Coverage vector

measured 24 of 24 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-02T08:13:05.223445Z

measured 24 of 24 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 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

24 of 24 outbound references displayed

verified exact0
verified fuzzy0
unresolved24
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation f98a51d6-0291-4429-a220-1294c5b13a21 · outbound

This paper cites Zero-Cost Proxies for Lightweight NAS.

Scaling Closed-Loop Feature Channel Configuration with LLMs Zero-Cost Proxies for Lightweight NAS

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-02T08:13:03.283873Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d6e2a484-7368-43b8-9bfd-0b9e4d6903b7 · outbound

This paper cites SEKI: Self-Evolution and Knowledge Inspiration based Neural Architecture Search via Large Language Models.

Scaling Closed-Loop Feature Channel Configuration with LLMs SEKI: Self-Evolution and Knowledge Inspiration based Neural Architecture Search via Large Language Models

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-02T08:13:03.358856Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7dba4572-7cc4-492e-9579-8787838e28e2 · outbound

This paper cites AIRNet: Self-Supervised Affine Registration for 3D Medical Images using Neural Networks.

Scaling Closed-Loop Feature Channel Configuration with LLMs AIRNet: Self-Supervised Affine Registration for 3D Medical Images using Neural Networks

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-02T08:13:03.435371Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3303d65f-bdfe-4bad-bff6-9a9d778875db · outbound

This paper cites In: Advances in Neural Information Processing Systems (2023).

Scaling Closed-Loop Feature Channel Configuration with LLMs In: Advances in Neural Information Processing Systems (2023)

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-02T08:13:03.495100Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3fa77059-9718-4a5e-a4b2-b732aee27ea1 · outbound

This paper cites In: Advances in Neural Information Processing Systems (2023).

Scaling Closed-Loop Feature Channel Configuration with LLMs In: Advances in Neural Information Processing Systems (2023)

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-02T08:13:03.574186Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

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

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.

Observation 8de7a8c5-b848-4e97-b2cc-ded81974c5e1 · outbound

This paper cites In: Proceedings of the European Conference on Computer Vision (ECCV) (2018).

Scaling Closed-Loop Feature Channel Configuration with LLMs In: Proceedings of the European Conference on Computer Vision (ECCV) (2018)

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-02T08:13:03.725288Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 07cf3212-76fb-49e3-a28e-3acac4086709 · outbound

This paper cites LoRA: Low-Rank Adaptation of Large Language Models.

Scaling Closed-Loop Feature Channel Configuration with LLMs LoRA: Low-Rank Adaptation of Large Language Models

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-02T08:13:03.782324Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 58ef5325-4fac-429a-8c6b-1d9e55a08b39 · outbound

This paper cites In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops.

Scaling Closed-Loop Feature Channel Configuration with LLMs In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-02T08:13:03.857426Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1e1cb5b2-fd23-4fa7-ae03-466a69a3d40c · outbound

This paper cites CoLLM-NAS: Collaborative Large Language Models for Efficient Knowledge-Guided Neural Architecture Search.

Scaling Closed-Loop Feature Channel Configuration with LLMs CoLLM-NAS: Collaborative Large Language Models for Efficient Knowledge-Guided Neural Architecture Search

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-02T08:13:03.916150Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c93232b0-966e-407b-a24e-d2a3e1bf8a1f · outbound

This paper cites DARTS: Differentiable Architecture Search.

Scaling Closed-Loop Feature Channel Configuration with LLMs DARTS: Differentiable Architecture Search

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-02T08:13:03.992440Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 73f21004-fa87-4527-8029-e4589d344cc8 · outbound

This paper cites In: Proceedings of the IEEE/CVF International Conference on Computer Vision (2019).

Scaling Closed-Loop Feature Channel Configuration with LLMs In: Proceedings of the IEEE/CVF International Conference on Computer Vision (2019)

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-02T08:13:04.114653Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9cf7be36-3348-4ec9-ad2a-577348342286 · outbound

This paper cites In: Proceedings of the IEEE Interna- tional Conference on Computer Vision (2017).

Scaling Closed-Loop Feature Channel Configuration with LLMs In: Proceedings of the IEEE Interna- tional Conference on Computer Vision (2017)

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-02T08:13:04.175947Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

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

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.

Observation fc9948f8-7d93-4cff-a407-4e339fa0e576 · outbound

This paper cites an unresolved cited work.

Scaling Closed-Loop Feature Channel Configuration with LLMs Unresolved cited work

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-02T08:13:04.408027Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5024d601-fcbf-4c4a-9047-e7c8cf3f31db · outbound

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

Scaling Closed-Loop Feature Channel Configuration with LLMs Closed-Loop LLM Discovery of Non-Standard Channel Priors in Vision Models

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-02T08:13:04.532587Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation adf47185-7aae-4136-a881-8346fce77ad5 · outbound

This paper cites In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops.

Scaling Closed-Loop Feature Channel Configuration with LLMs In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-02T08:13:04.623006Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2771565b-bd81-4c2b-a4c8-995323be6151 · outbound

This paper cites GPT-NAS: Evolutionary Neural Architecture Search with the Generative Pre-Trained Model.

Scaling Closed-Loop Feature Channel Configuration with LLMs GPT-NAS: Evolutionary Neural Architecture Search with the Generative Pre-Trained Model

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-02T08:13:04.761560Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 76e5dabd-82e4-4fc2-a33b-641485da4357 · outbound

This paper cites AutoSlim: Towards One-Shot Architecture Search for Channel Numbers.

Scaling Closed-Loop Feature Channel Configuration with LLMs AutoSlim: Towards One-Shot Architecture Search for Channel Numbers

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-02T08:13:04.853600Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fd57ca01-9298-4aa9-9e4f-4ad838246051 · outbound

This paper cites Evaluating the Search Phase of Neural Architecture Search.

Scaling Closed-Loop Feature Channel Configuration with LLMs Evaluating the Search Phase of Neural Architecture Search

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-02T08:13:04.927958Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d70cb284-59a7-4b2c-b7c7-a54c823c8479 · outbound

This paper cites Can GPT-4 Perform Neural Architecture Search?.

Scaling Closed-Loop Feature Channel Configuration with LLMs Can GPT-4 Perform Neural Architecture Search?

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-02T08:13:04.975165Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d7497ee3-9fc1-49b5-9877-8786ec2d77ea · outbound

This paper cites EcoNAS: Finding Proxies for Economical Neural Architecture Search.

Scaling Closed-Loop Feature Channel Configuration with LLMs EcoNAS: Finding Proxies for Economical Neural Architecture Search

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-02T08:13:05.063182Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f9be6044-addb-423c-956b-15c71448ea4b · outbound

This paper cites Design Principle Transfer in Neural Architecture Search via Large Language Models.

Scaling Closed-Loop Feature Channel Configuration with LLMs Design Principle Transfer in Neural Architecture Search via Large Language Models

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-02T08:13:05.141306Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 05ee8c9a-74d8-4569-9d92-8b5dfd489795 · outbound

This paper cites Neural Architecture Search with Reinforcement Learning.

Scaling Closed-Loop Feature Channel Configuration with LLMs Neural Architecture Search with Reinforcement Learning

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-02T08:13:05.223445Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.