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Paper Citation Record · LEDGER

LEMUR 2: Unlocking Neural Network Diversity for AI

As of 9 August 2026, this Paper Citation Record lists 52 of 52 outbound references and 0 inbound Pith citation observations for arXiv:2607.06839.

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

pith.paper-citation-record.v1
2607.06839 v1

Coverage vector

measured 52 of 52 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-10T20:15:59.064352Z

measured 52 of 52 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+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

52 of 52 outbound references displayed

  • verified exact19
  • verified fuzzy28
  • unresolved4
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 60c4e56a-19e6-42b5-a68b-27dc8e1d7f6b · outbound

This paper cites AugmentGest: Can Random Data Cropping Augmentation Boost Gesture Recognition Performance?.

LEMUR 2: Unlocking Neural Network Diversity for AI AugmentGest: Can Random Data Cropping Augmentation Boost Gesture Recognition Performance?

Reference 1

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 8d4fd9c4-3e1b-4c9e-8f31-f4c9535cb698 · outbound

This paper cites Jahs-bench-201: A foundation for research on joint architecture and hyperparameter search.

LEMUR 2: Unlocking Neural Network Diversity for AI Jahs-bench-201: A foundation for research on joint architecture and hyperparameter search

Reference 2

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raw_fallback, observed 2026-07-10T20:17:33.950985Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 4ae1f3f3-49c9-4f5d-924c-d71d19390e44 · outbound

This paper cites Approximating CNNs with Bag-of-local-Features models works surprisingly well on ImageNet.

LEMUR 2: Unlocking Neural Network Diversity for AI Approximating CNNs with Bag-of-local-Features models works surprisingly well on ImageNet

Reference 3

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local_arxiv, observed 2026-07-10T20:17:33.753607Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 42a6271a-b0dc-4295-be47-4b57076a1380 · outbound

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

LEMUR 2: Unlocking Neural Network Diversity for AI AIRNet: Self-Supervised Affine Registration for 3D Medical Images using Neural Networks

Reference 4

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local_arxiv, observed 2026-07-10T20:17:33.761948Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-07-10T20:15:59.064352Z digest=sha256:4eba11271dfc074e943cfff86b1f8f634203e4bd09f5474b5e5848f5c0bcc09b

Observation 783a084b-90c4-4b15-9b85-d57f26f6abf3 · outbound

This paper cites Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling.

LEMUR 2: Unlocking Neural Network Diversity for AI Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling

Reference 5

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local_arxiv, observed 2026-07-10T20:17:33.748304Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-07-10T20:15:59.064352Z digest=sha256:f7ed6fa56db72756afcbc6e78c19370d38af8381af75c9de22fce272d282becc

Observation 8202802b-87b1-4c9c-acc2-83a2221cc9f0 · outbound

This paper cites Ai on the edge: An automated pipeline for pytorch-to-android deployment and benchmarking.Preprints, 2025.

LEMUR 2: Unlocking Neural Network Diversity for AI Ai on the edge: An automated pipeline for pytorch-to-android deployment and benchmarking.Preprints, 2025

Reference 6

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raw_fallback, observed 2026-07-10T20:17:33.955458Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-07-10T20:15:59.064352Z digest=sha256:dfbf294e89892a33b4afda319bbeefbd25fea69722828cebab79cb24bac38a71

Observation 1792de37-29ac-44d8-9aea-d1d64645c361 · outbound

This paper cites NAS-Bench-201: Extending the scope of reproducible neural architecture search.

LEMUR 2: Unlocking Neural Network Diversity for AI NAS-Bench-201: Extending the scope of reproducible neural architecture search

Reference 7

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raw_fallback, observed 2026-07-10T20:17:33.969387Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-07-10T20:15:59.064352Z digest=sha256:19048881b0d17204b27752ab15fb8b45e6d81051027111a52c955951a79cba31

Observation cb3a2cf2-2b39-4a74-bba4-bb163d041c97 · outbound

This paper cites NATS-Bench: Benchmarking nas algorithms for ar- chitecture topology and size.IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2021.

LEMUR 2: Unlocking Neural Network Diversity for AI NATS-Bench: Benchmarking nas algorithms for ar- chitecture topology and size.IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2021

Reference 8

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arxiv_id, observed 2026-07-10T20:17:33.742704Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-07-10T20:15:59.064352Z digest=sha256:1091ff1bde37ca98b53b6113e2c0999393236a44976b5dffd9f8159aab07f267

Observation 3f9ee8e2-a96c-4512-9e80-a559d5897e77 · outbound

This paper cites Transnas-bench-101: Improving transferability and generalizability of cross-task neural architecture search.

LEMUR 2: Unlocking Neural Network Diversity for AI Transnas-bench-101: Improving transferability and generalizability of cross-task neural architecture search

Reference 9

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation d3f81cb5-04b2-4a35-ab39-035825ad0d45 · outbound

This paper cites an unresolved cited work.

LEMUR 2: Unlocking Neural Network Diversity for AI Unresolved cited work

Reference 10

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 4d27a94f-265d-4f94-9c62-445443c8b3b1 · outbound

This paper cites NNGPT: Rethinking AutoML with Large Language Models.

LEMUR 2: Unlocking Neural Network Diversity for AI NNGPT: Rethinking AutoML with Large Language Models

Reference 11

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local_arxiv, observed 2026-07-10T20:17:33.765979Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation d9abff4b-e19c-470e-a118-dbc2edfa242f · outbound

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

LEMUR 2: Unlocking Neural Network Diversity for AI A Retrieval-Augmented Generation Approach to Extracting Algorithmic Logic from Neural Networks

Reference 12

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local_arxiv, observed 2026-07-10T20:17:33.745309Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 9472f5aa-ab29-43d6-8d85-318c1460fb2d · outbound

This paper cites From Memorization to Creativity: LLM as a Designer of Novel Neural Architectures.

LEMUR 2: Unlocking Neural Network Diversity for AI From Memorization to Creativity: LLM as a Designer of Novel Neural Architectures

Reference 13

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local_arxiv, observed 2026-07-10T20:17:33.760735Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-07-10T20:15:59.064352Z digest=sha256:189f1f350df8957c786b6cb9908515ec939ef4df6c3d68893a5199d859bcf491

Observation 7eaa31c1-b8bb-450a-9d45-ba4591770b32 · outbound

This paper cites VIST-GPT: Ushering in the Era of Visual Storytelling with LLMs?.

LEMUR 2: Unlocking Neural Network Diversity for AI VIST-GPT: Ushering in the Era of Visual Storytelling with LLMs?

Reference 14

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local_arxiv, observed 2026-07-10T20:17:33.742935Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-07-10T20:15:59.064352Z digest=sha256:194592121a90b0a3078ec8cf2129c12e5c09631429b21cb993492ae20312cf9e

Observation 3a432504-2816-434f-b37b-beebccfafd4d · outbound

This paper cites LEMUR Neural Network Dataset: Towards Seamless AutoML, 2025.

LEMUR 2: Unlocking Neural Network Diversity for AI LEMUR Neural Network Dataset: Towards Seamless AutoML, 2025

Reference 15

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raw_fallback, observed 2026-07-10T20:17:33.952509Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-07-10T20:15:59.064352Z digest=sha256:4d785e899c4b401015d879706fdde0868fcf935ee815cef9775e4458b66121d7

Observation b0c98cda-ad26-4fad-af1a-29a09a62f7ca · outbound

This paper cites Tensorflow hub.https://www.tensorflow.

LEMUR 2: Unlocking Neural Network Diversity for AI Tensorflow hub.https://www.tensorflow

Reference 16

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 2b07cdb2-1391-4417-af53-5b542e1b777a · outbound

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

LEMUR 2: Unlocking Neural Network Diversity for AI Resource- efficient iterative LLM-based NAS with feedback memory

Reference 17

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arxiv_id, observed 2026-07-10T20:17:33.759428Z

Source-reported events for the cited work

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Observation 807256e4-69b1-4fdc-9186-9845ea8f549e · outbound

This paper cites Denoising dif- fusion probabilistic models.Advances in neural information processing systems, 33:6840–6851.

LEMUR 2: Unlocking Neural Network Diversity for AI Denoising dif- fusion probabilistic models.Advances in neural information processing systems, 33:6840–6851

Reference 18

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-07-10T20:15:59.064352Z digest=sha256:c9b1025c67de8fa6ef54289d01567b89c7c2526f5784e74bb8b04e9297104e7f

Observation df278580-9b97-4cbb-87b6-9734c8d9a8a8 · outbound

This paper cites Long short-term memory.Neural Computation, 9(8):1735–1780.

LEMUR 2: Unlocking Neural Network Diversity for AI Long short-term memory.Neural Computation, 9(8):1735–1780

Reference 19

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 90b225dc-4e0a-4fdf-9ff3-1fe6d1390c93 · outbound

This paper cites Densely connected convolutional net- works.

LEMUR 2: Unlocking Neural Network Diversity for AI Densely connected convolutional net- works

Reference 20

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 387c9f6b-651a-4ac4-ab05-079a61d17d43 · outbound

This paper cites Llm as a neural architect: Controlled generation of image cap- tioning models under strict api contracts.

LEMUR 2: Unlocking Neural Network Diversity for AI Llm as a neural architect: Controlled generation of image cap- tioning models under strict api contracts

Reference 21

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arxiv_id, observed 2026-07-10T20:17:33.737815Z

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-07-10T20:15:59.064352Z digest=sha256:ed457581c278c91830b712cad6a58fb5238eb819bc4c37080745c9ad0ff29a9e

Observation a1c55ead-b8cf-4bfa-9df6-14da6cf98912 · outbound

This paper cites Auto-keras: An efficient neural architecture search system.

LEMUR 2: Unlocking Neural Network Diversity for AI Auto-keras: An efficient neural architecture search system

Reference 22

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-07-10T20:15:59.064352Z digest=sha256:065730528513189e3fb7cac61caa60cdb33f38addac5f017d9b27c723c8f0c3e

Observation 38253b83-4651-427e-98d2-24d6dd627a47 · outbound

This paper cites Auto-Encoding Variational Bayes.

LEMUR 2: Unlocking Neural Network Diversity for AI Auto-Encoding Variational Bayes

Reference 23

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local_arxiv, observed 2026-07-10T20:17:33.764290Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-07-10T20:15:59.064352Z digest=sha256:078c103a0ca29977ee93505ba701e6cba5d0292b2b79f37c306b11a4f2e36da1

Observation e256beaf-a7ec-4deb-835e-37b046641c1a · outbound

This paper cites Nas-bench-nlp: neural architecture search benchmark for natural language processing.IEEE Access, 10:45736–45747, 2022.

LEMUR 2: Unlocking Neural Network Diversity for AI Nas-bench-nlp: neural architecture search benchmark for natural language processing.IEEE Access, 10:45736–45747, 2022

Reference 24

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Observation 1e4f28ee-401d-413d-8c4b-4726310199e4 · outbound

This paper cites an unresolved cited work.

LEMUR 2: Unlocking Neural Network Diversity for AI Unresolved cited work

Reference 25

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 4b9712bb-e0bf-440d-b4c3-187dc86b1a8c · outbound

This paper cites Learning multiple layers of features from tiny images.

LEMUR 2: Unlocking Neural Network Diversity for AI Learning multiple layers of features from tiny images

Reference 26

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 5092b920-8d45-43ff-8fce-4da5b90b1c0c · outbound

This paper cites Imagenet classification with deep convolutional neural net- works.

LEMUR 2: Unlocking Neural Network Diversity for AI Imagenet classification with deep convolutional neural net- works

Reference 27

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 6264cee8-3311-482d-995b-d116e9b116df · outbound

This paper cites FractalNet: Ultra-Deep Neural Networks without Residuals.

LEMUR 2: Unlocking Neural Network Diversity for AI FractalNet: Ultra-Deep Neural Networks without Residuals

Reference 28

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local_arxiv, observed 2026-07-10T20:17:33.751401Z

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation db9032ed-b73b-4236-b099-b4eebdade8d7 · outbound

This paper cites HW-NAS-Bench:Hardware-Aware Neural Architecture Search Benchmark.

LEMUR 2: Unlocking Neural Network Diversity for AI HW-NAS-Bench:Hardware-Aware Neural Architecture Search Benchmark

Reference 29

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local_arxiv, observed 2026-07-10T20:17:33.769429Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-07-10T20:15:59.064352Z digest=sha256:60003594ec28e1c4f280ab11c0df62ac4950b046e7f18ac94d5f30c4d46774ca

Observation d8820d97-0779-48b4-8b11-c070f396d382 · outbound

This paper cites LibCST: A concrete syntax tree parser and serializer library for python.https://github.

LEMUR 2: Unlocking Neural Network Diversity for AI LibCST: A concrete syntax tree parser and serializer library for python.https://github

Reference 30

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-07-10T20:15:59.064352Z digest=sha256:983e0c45d27de7814900fd52125acf4db74083f01c19ecf53334087f49013c64

Observation d32d8ae0-161c-4e67-8e82-2ff0fd8bc160 · outbound

This paper cites Microsoft coco: Common objects in context.

LEMUR 2: Unlocking Neural Network Diversity for AI Microsoft coco: Common objects in context

Reference 31

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raw_fallback, observed 2026-07-10T20:17:33.912634Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 621c5d73-a5dc-4ac6-a604-22a5443bae22 · outbound

This paper cites Nas-bench-asr: Reproducible neural architecture search for speech recogni- tion.

LEMUR 2: Unlocking Neural Network Diversity for AI Nas-bench-asr: Reproducible neural architecture search for speech recogni- tion

Reference 32

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-07-10T20:15:59.064352Z digest=sha256:74d04f75f7be7dcd7dc2352ea096f23df73ad5bf6a14f461039070477e1f258d

Observation 5e70a302-46e2-40a2-adb4-e19d21d39756 · outbound

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

LEMUR 2: Unlocking Neural Network Diversity for AI Preparation of Fractal-Inspired Computational Architectures for Advanced Large Language Model Analysis

Reference 33

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local_arxiv, observed 2026-07-10T20:17:33.771904Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-07-10T20:15:59.064352Z digest=sha256:bce3b6a0c9e2be6c75395a566cd37aff3846667f1913eb8646389f732b659ada

Observation ca52e3d5-7962-44ed-98da-aa6ef0ee2c60 · outbound

This paper cites Olson and Jason H.

LEMUR 2: Unlocking Neural Network Diversity for AI Olson and Jason H

Reference 34

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verified fuzzy
raw_fallback, observed 2026-07-10T20:17:33.938524Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-07-10T20:15:59.064352Z digest=sha256:e6ed6ac8cdd3437b6e75f0f785d9b2fd325dce8e606f27f3a3d0ef237ce287de

Observation d623a3ed-5cda-468d-98e9-01d325d3fdfb · outbound

This paper cites Bleu: a method for automatic evaluation of machine translation.

LEMUR 2: Unlocking Neural Network Diversity for AI Bleu: a method for automatic evaluation of machine translation

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-07-10T20:17:33.932307Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-07-10T20:15:59.064352Z digest=sha256:d8e23de6766d7fb02246359983a12b71dab28c5a065ad0a1c41a269323575162

Observation 96607348-927f-4989-8255-8c58df015332 · outbound

This paper cites Pytorch: An im- perative style, high-performance deep learning library, 2019.

LEMUR 2: Unlocking Neural Network Diversity for AI Pytorch: An im- perative style, high-performance deep learning library, 2019

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-07-10T20:17:33.936454Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-07-10T20:15:59.064352Z digest=sha256:92d39a7e9bdf7e8780eea7f7ed62440464adb2a7b8343f737749db828241da86

Observation 4efebd1d-2a99-4456-86c7-58edc9ac4cc1 · outbound

This paper cites Pytorch hub.https://pytorch.

LEMUR 2: Unlocking Neural Network Diversity for AI Pytorch hub.https://pytorch

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-07-10T20:17:33.940037Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-07-10T20:15:59.064352Z digest=sha256:d19aa89d9983b124e735810355b3405b94c6c8933f45bd5d66186a613b960746

Observation 1c303767-b633-4022-abd1-067819c0667e · outbound

This paper cites Nas-bench-graph: Benchmarking graph neural architecture search.Advances in neural information process- ing systems, 35:54–69, 2022.

LEMUR 2: Unlocking Neural Network Diversity for AI Nas-bench-graph: Benchmarking graph neural architecture search.Advances in neural information process- ing systems, 35:54–69, 2022

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-07-10T20:17:33.930420Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-07-10T20:15:59.064352Z digest=sha256:1f036dccd50d078bf231f55f2c0e81e66037c9ca7d206ec0fd895ef4e91934fb

Observation d52a994f-32b1-48aa-9a02-a59617d7e4ea · outbound

This paper cites Learning transferable visual models from natural language supervi- sion.

LEMUR 2: Unlocking Neural Network Diversity for AI Learning transferable visual models from natural language supervi- sion

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-07-10T20:17:33.932512Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-07-10T20:15:59.064352Z digest=sha256:9dece1c4fa142927e21fa778450c2cafefba7e0b7c76cb36726c44d5646443a3

Observation 4e191a86-c823-4f84-b675-50f5a7b3ac3d · outbound

This paper cites an unresolved cited work.

LEMUR 2: Unlocking Neural Network Diversity for AI Unresolved cited work

Reference 40

Resolution
unresolved
raw_fallback, observed 2026-07-10T20:17:33.944438Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-07-10T20:15:59.064352Z digest=sha256:6cf948dd8e9e406be2e8ec0705374ea532a6863b5052ca7e93d8b96ee59a0af5

Observation de4ca4ba-d4e2-4701-9c00-d50a46f90ef3 · outbound

This paper cites High-resolution image synthesis with latent diffusion models.

LEMUR 2: Unlocking Neural Network Diversity for AI High-resolution image synthesis with latent diffusion models

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-07-10T20:17:33.962200Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-07-10T20:15:59.064352Z digest=sha256:3160e6e3cff684265bc2be5e2f21fe1b8af615b2789ec7ff8b89b4579a90d22e

Observation c244845e-e8ee-4b13-9e53-d3c2a4799806 · outbound

This paper cites U- net: Convolutional networks for biomedical image segmen- tation.

LEMUR 2: Unlocking Neural Network Diversity for AI U- net: Convolutional networks for biomedical image segmen- tation

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-07-10T20:17:33.964103Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-07-10T20:15:59.064352Z digest=sha256:962efc6fddd1f4e036b638e66f0de6c1064c3a75444830c2b16515f12b7690f5

Observation 3613cab3-4d10-447c-b0f5-a89ec171c173 · outbound

This paper cites Ex- ploring the collaboration between vision models and llms for enhanced image classification.Dimensions, 27(1), 2025.

LEMUR 2: Unlocking Neural Network Diversity for AI Ex- ploring the collaboration between vision models and llms for enhanced image classification.Dimensions, 27(1), 2025

Reference 43

Resolution
verified exact
arxiv_id, observed 2026-07-10T20:17:33.488100Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-07-10T20:15:59.064352Z digest=sha256:7a6603abb7e127e291713b809cef327cb77c13e1dbaaec521461217c704f704d

Observation d520a1c8-fc25-46bf-9fcc-530262caa103 · outbound

This paper cites DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models.

LEMUR 2: Unlocking Neural Network Diversity for AI DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models

Reference 44

Resolution
verified exact
local_arxiv, observed 2026-07-10T20:17:33.740513Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-07-10T20:15:59.064352Z digest=sha256:5332257aff937f69cf497f1174b5216d8d5b6a8039b5b81ba986e0e555204eaa

Observation 0a8b1f82-023a-4ff5-b556-55d017c617c8 · outbound

This paper cites From Brute Force to Semantic Insight: Performance-Guided Data Transformation Design with LLMs.

LEMUR 2: Unlocking Neural Network Diversity for AI From Brute Force to Semantic Insight: Performance-Guided Data Transformation Design with LLMs

Reference 45

Resolution
verified exact
arxiv_id, observed 2026-08-06T02:01:35.592368Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-07-10T20:15:59.064352Z digest=sha256:e2fcdab034f66343552f7391732f44dde67feaa6214028b3e230830ebbfcd818

Observation 60e4be64-41c6-483a-94f1-9b96363c230e · outbound

This paper cites Nas-bench-301 and the case for surrogate benchmarks for neural architecture search.

LEMUR 2: Unlocking Neural Network Diversity for AI Nas-bench-301 and the case for surrogate benchmarks for neural architecture search

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-07-10T20:17:33.960182Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-07-10T20:15:59.064352Z digest=sha256:ec5e58321025664650dd4b9c236511cfbd061c50af14ce409160c0948620f696

Observation d6d6f226-fdaa-4dc0-94e5-5a8131383678 · outbound

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

LEMUR 2: Unlocking Neural Network Diversity for AI Closed-Loop LLM Discovery of Non-Standard Channel Priors in Vision Models

Reference 47

Resolution
verified exact
local_arxiv, observed 2026-07-10T20:17:33.748026Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-07-10T20:15:59.064352Z digest=sha256:11785c9c26ef948a4a8f661307739b6ab91aa4e9a74245f6a374bf89472167b7

Observation 777ab08a-3b77-4fe5-8878-5874d64f56e8 · outbound

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

LEMUR 2: Unlocking Neural Network Diversity for AI Enhancing LLM-Based Neural Network Generation: Few-Shot Prompting and Efficient Validation for Automated Architecture Design

Reference 48

Resolution
verified exact
local_arxiv, observed 2026-07-10T20:17:33.736738Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-07-10T20:15:59.064352Z digest=sha256:2b6295e558c150de69615ed2d8afcd1a5cfa1aedf073196a8f1fc605acc14a53

Observation 92cde3f4-81a5-47f7-ab34-6a1da525604b · outbound

This paper cites an unresolved cited work.

LEMUR 2: Unlocking Neural Network Diversity for AI Unresolved cited work

Reference 49

Resolution
unresolved
raw_fallback, observed 2026-07-10T20:17:33.956019Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-07-10T20:15:59.064352Z digest=sha256:6e8107ca50fdd47163a0d759d0c8e9acb439b237635b28ea9b9c01b17f49eaa0

Observation 42cb51e1-6ede-467f-a2d4-a6f1e72888ac · outbound

This paper cites Nas-bench-101: Towards reproducible neural architecture search.

LEMUR 2: Unlocking Neural Network Diversity for AI Nas-bench-101: Towards reproducible neural architecture search

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-07-10T20:17:33.948628Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-07-10T20:15:59.064352Z digest=sha256:3c3a2c456161364a28d7787ab67aa9c1696b6ffc5e50358b7fa7e7bf40a8be94

Observation d8587ec3-574a-4e3f-92eb-fde70e39fc0a · outbound

This paper cites Nas-bench- 1shot1: Benchmarking and dissecting one-shot neural archi- tecture search.

LEMUR 2: Unlocking Neural Network Diversity for AI Nas-bench- 1shot1: Benchmarking and dissecting one-shot neural archi- tecture search

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-07-10T20:17:33.950505Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-07-10T20:15:59.064352Z digest=sha256:31f0a93fd680b411dcf85de2a9f103685aeb157f23207ec6046e7be47c4681c6

Observation dafd2f37-f33e-4734-96bd-281ccf55e770 · outbound

This paper cites Self-attention generative adversarial networks.

LEMUR 2: Unlocking Neural Network Diversity for AI Self-attention generative adversarial networks

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-07-10T20:17:33.946561Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-07-10T20:15:59.064352Z digest=sha256:e66b981fc8322a58ee67c5e0bd084d4da64b6b673d22b45c10a729baef3a0371

Pith citing papers

No inbound Pith citation observations are available.