Pith. sign in

Paper Citation Record · LEDGER

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

As of 22 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 2026-08-22T06:32:14.747728+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

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=sha256:8c1825bb24d2d234bc3dbb654d4c15ae176cb8da3ff3eb7cecb929f5c612c41b

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

source=pdf_text observed=2026-08-07T05:12:28.927552Z digest=sha256:c2048b0d43393df6377dd58d4108bed16e51fa05d50e16ec43dbdb0301be9463

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

source=pdf_text observed=2026-08-07T05:12:28.931405Z digest=sha256:3e98e123ab318a07b14730b13f53666769c0cc775be4895c8c5ddcd7de8d20f9

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

source=pdf_text observed=2026-08-07T05:12:28.935576Z digest=sha256:524fcf515da457d7a812707c7950f2534e8d02567a76a3339cce836b4b81f9d7

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

source=pdf_text observed=2026-08-07T05:12:28.940668Z digest=sha256:104f2c2c0627ee7a479cae04fdfbfe2e4361ad3c9fab727dec417500ab427f29

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=sha256:944fcb7aa7025089093c88671d28b94d98bd44a5539ef0130661507bb71f3c9d

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

source=pdf_text observed=2026-08-07T05:12:28.950885Z digest=sha256:4d6a367b5d08703fe8d21d8300a7077e96de0bcfd0746d333b8ff27c39bc862e

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

source=pdf_text observed=2026-08-07T05:12:28.955001Z digest=sha256:9c9973029353cd13ab58baadc5517b2f0f62df08e5c4382c33d3b4c529225a12

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

source=pdf_text observed=2026-08-07T05:12:28.958668Z digest=sha256:5b29caf245b90857b82c031a8f3d5962ab4a15cb70ad44c057175eac48ea8f86

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

source=pdf_text observed=2026-08-07T05:12:28.962004Z digest=sha256:ac25d8fb7c0dfca11027be2ccb2bca5a56ad49020c9b84ecbe1227d2bf4d3456

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

source=pdf_text observed=2026-08-07T05:12:28.966084Z digest=sha256:d07fed7a37594e6a788653a05952d5f6102258f6c3a4ec332aa2d3d7adb3ad94

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

source=pdf_text observed=2026-08-07T05:12:28.970010Z digest=sha256:46b4db06b5fe82bbdb0722e6aed1e2e7bf88599101bb7522a63e11ecdaa7fe86

Pith citing papers

No inbound Pith citation observations are available.