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Paper Citation Record · LEDGER

Robust Evolutionary Multi-Objective Network Architecture Search for Reinforcement Learning (EMNAS-RL)

As of 7 August 2026, this Paper Citation Record lists 12 of 12 outbound references and 0 inbound Pith citation observations for arXiv:2506.08533.

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

pith.paper-citation-record.v1
2506.08533 v1

Coverage vector

measured 12 of 12 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T05:12:28.970010Z

measured 12 of 12 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

12 of 12 outbound references displayed

  • verified exact0
  • verified fuzzy10
  • unresolved2
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 3b815b88-eb60-4b31-bbf8-0c616177a132 · outbound

This paper cites Regularized evolution for image classifier architecture search.

Robust Evolutionary Multi-Objective Network Architecture Search for Reinforcement Learning (EMNAS-RL) Regularized evolution for image classifier architecture search

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-07T05:12:28.923029Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:12:28.923029Z digest=sha256:7eac98865d007c3be36cbc375d3c348d678805c4afb5c2294ac72d24e7a886d3

Observation e1efe5c1-8f54-455d-9440-d972a9efcd45 · outbound

This paper cites Eeea-net: An early exit evolutionary neural architecture search.

Robust Evolutionary Multi-Objective Network Architecture Search for Reinforcement Learning (EMNAS-RL) Eeea-net: An early exit evolutionary neural architecture search

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:12:29.117649Z

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=2026-08-07T05:12:28.927552Z digest=sha256:ed8017f4a60da9264566ae49cf77b93908d987346577d1a2cefc9b8c1c11e377

Observation 219a0bbb-c3f8-4971-97ff-ff9b176f3741 · outbound

This paper cites Nsga-net: NAS using multi-objective genetic algorithm.

Robust Evolutionary Multi-Objective Network Architecture Search for Reinforcement Learning (EMNAS-RL) Nsga-net: NAS using multi-objective genetic algorithm

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:12:29.106687Z

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=2026-08-07T05:12:28.931405Z digest=sha256:766280a9d1c9c3b5bf2cf06b60d18220a80ba3caaf3ad600cdbb054030d436b0

Observation 1546c6ae-ccf6-45a9-a92d-f779e4faf66b · outbound

This paper cites Behavioral cloning from observation.

Robust Evolutionary Multi-Objective Network Architecture Search for Reinforcement Learning (EMNAS-RL) Behavioral cloning from observation

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:12:29.094398Z

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=2026-08-07T05:12:28.935576Z digest=sha256:02b8334d426d7f8de34a412affe627f467287680da41a7e86264d807a59940ae

Observation 174a737d-35c0-4295-8ec8-d4f1cc061566 · outbound

This paper cites https://unity.com/.

Robust Evolutionary Multi-Objective Network Architecture Search for Reinforcement Learning (EMNAS-RL) https://unity.com/

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:12:29.081314Z

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=2026-08-07T05:12:28.940668Z digest=sha256:b539512a53429ee2018a2d9d89806f7167e96f98f62e23d8ecbaa41ad399ae2a

Observation 4b1af5bc-dbfc-43d4-95d3-3f781c9ca058 · outbound

This paper cites Proximal Policy Optimization Algorithms.

Robust Evolutionary Multi-Objective Network Architecture Search for Reinforcement Learning (EMNAS-RL) Proximal Policy Optimization Algorithms

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-07T05:12:28.945741Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:12:28.945741Z digest=sha256:b588c8f84449cd0baad13bb10272f928e7ec51a2fa29b0bd1b004f7765c4e1dc

Observation e33de1c0-855a-4c07-bf84-b9dbde4cf9cc · outbound

This paper cites Evolu- tionary Neural Network Architecture Search, pages 247–281.

Robust Evolutionary Multi-Objective Network Architecture Search for Reinforcement Learning (EMNAS-RL) Evolu- tionary Neural Network Architecture Search, pages 247–281

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:12:29.071297Z

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=2026-08-07T05:12:28.950885Z digest=sha256:519134122b84d1b79a138333b47bcb95537ecbade4c1545397c3bcb2683e026b

Observation 12b0ad38-e202-407d-8d37-6ed50e0a8270 · outbound

This paper cites Yen, and Jiancheng Lv.

Robust Evolutionary Multi-Objective Network Architecture Search for Reinforcement Learning (EMNAS-RL) Yen, and Jiancheng Lv

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:12:29.059274Z

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=2026-08-07T05:12:28.955001Z digest=sha256:1729199913df01f170afd7b779a73a83be7f6fa772910e6f8dc40f190a3d00b2

Observation 7657d3f8-f2e9-4d07-b877-0ab481c74034 · outbound

This paper cites Evolving neural networks through augment- ing topologies.

Robust Evolutionary Multi-Objective Network Architecture Search for Reinforcement Learning (EMNAS-RL) Evolving neural networks through augment- ing topologies

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:12:29.046274Z

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=2026-08-07T05:12:28.958668Z digest=sha256:63c43b924d9cab7daa6cb8a06761e8c1db45f1791411bb3efb00ba41c289d2f0

Observation df1aa6c6-7629-44f4-b267-3b1eee989044 · outbound

This paper cites A fast and elitist multiobjective genetic algorithm: NSGA-II.

Robust Evolutionary Multi-Objective Network Architecture Search for Reinforcement Learning (EMNAS-RL) A fast and elitist multiobjective genetic algorithm: NSGA-II

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:12:29.032926Z

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=2026-08-07T05:12:28.962004Z digest=sha256:ce51cc5563e541cae5a76d21624db0e82ad949560e64ac61d71bddae1dbeef96

Observation 1a5ee548-055a-45e2-8553-493537b0af0f · outbound

This paper cites Evolutionary computation and conver- gence to a pareto front.

Robust Evolutionary Multi-Objective Network Architecture Search for Reinforcement Learning (EMNAS-RL) Evolutionary computation and conver- gence to a pareto front

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:12:29.019472Z

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=2026-08-07T05:12:28.966084Z digest=sha256:cfcaf7260ceee495ed8a07dcb494a05912765215fb7f379e57f5d5310cf2436d

Observation c90b2d23-6cbf-4bb2-b974-7e0bd0a374ba · outbound

This paper cites Hyperparameter optimiza- tion for ˆA driving strategies based on ˆA reinforcement learning.

Robust Evolutionary Multi-Objective Network Architecture Search for Reinforcement Learning (EMNAS-RL) Hyperparameter optimiza- tion for ˆA driving strategies based on ˆA reinforcement learning

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:12:29.007429Z

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=2026-08-07T05:12:28.970010Z digest=sha256:b0f217e103820a6574e9ac1e35d025816b8d74c05021603beb1d36798a4e96b6

Pith citing papers

No inbound Pith citation observations are available.