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Paper Citation Record · LEDGER

MANAS: Multi-Agent Neural Architecture Search

As of 15 August 2026, this Paper Citation Record lists 37 of 37 outbound references and 0 inbound Pith citation observations for arXiv:1909.01051.

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

pith.paper-citation-record.v1
1909.01051 v4

Coverage vector

measured 37 of 37 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-14T05:35:29.357596Z

measured 37 of 37 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+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

37 of 37 outbound references displayed

  • verified exact0
  • verified fuzzy26
  • unresolved11
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation c725160a-9d4b-4e40-9dba-34ed3e4851f7 · outbound

This paper cites Best of both worlds: Stochastic & adversarial best-arm identification.

MANAS: Multi-Agent Neural Architecture Search Best of both worlds: Stochastic & adversarial best-arm identification

Reference 1

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 91f24473-33ba-4199-8a09-aa8be873325b · outbound

This paper cites The nonstochastic multiarmed bandit problem.

MANAS: Multi-Agent Neural Architecture Search The nonstochastic multiarmed bandit problem

Reference 2

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-14T05:35:29.097646Z digest=sha256:a5c368c0bac0f2504150da1270418b31a2794bc71eba1ecbaa373c12282e2d72

Observation be853ada-12a0-4ddc-95b1-23c62dec3769 · outbound

This paper cites Regret analysis of stochastic and nonstochastic multi-armed bandit problems.

MANAS: Multi-Agent Neural Architecture Search Regret analysis of stochastic and nonstochastic multi-armed bandit problems

Reference 3

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no resolver link, observed 2026-08-14T05:35:29.101907Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T05:35:29.101907Z digest=sha256:bc0902defb3827f072339f9ccb92cd2d25d51d0b853c670fb729ea67a45a0556

Observation 9ede128f-495a-4346-ad88-7a916bd71641 · outbound

This paper cites Proxyless NAS : Direct neural architecture search on target task and hardware.

MANAS: Multi-Agent Neural Architecture Search Proxyless NAS : Direct neural architecture search on target task and hardware

Reference 4

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-14T05:35:29.105957Z digest=sha256:b1ec70de86a5e88a04bf1d71ad26738afb293509fe0a6541ba2853dcfcb004f7

Observation 281ef90f-832a-4037-9990-865c71e7bfe3 · outbound

This paper cites Combinatorial bandits.

MANAS: Multi-Agent Neural Architecture Search Combinatorial bandits

Reference 5

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no resolver link, observed 2026-08-14T05:35:29.111429Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-14T05:35:29.111429Z digest=sha256:f51f0ca5d3e591d0b9f4816e1ab36030383a8b195ec4d5cc0addb3b27b572645

Observation ad5ad82f-a8c5-4822-9659-1052a3ce4dfb · outbound

This paper cites Counterfactual exploration for improving multiagent learning.

MANAS: Multi-Agent Neural Architecture Search Counterfactual exploration for improving multiagent learning

Reference 6

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-14T05:35:29.115555Z digest=sha256:5737b0c994b0d29034d8d5faa462d2be73dde930924dc5ac30ea11dc8a31b0c2

Observation e06ecf16-044c-4e38-bab1-ab638af63ebf · outbound

This paper cites Very deep convolutional networks for text classification.

MANAS: Multi-Agent Neural Architecture Search Very deep convolutional networks for text classification

Reference 7

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-14T05:35:29.119738Z digest=sha256:4b79e9ed42b84bb027ecc018f437ba5b2940a2ea191f7f83e6440c0c2b891b2d

Observation f1b93ba9-ec6c-428f-af1f-52e2e5923ba1 · outbound

This paper cites AutoAugment: Learning Augmentation Policies from Data.

MANAS: Multi-Agent Neural Architecture Search AutoAugment: Learning Augmentation Policies from Data

Reference 8

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T05:35:29.123952Z digest=sha256:61d795e5d8b79860aa6a3f330c6402e9e3c042083792b016ede2e3037b06b8f7

Observation 202defd6-5cd7-40cd-a4da-206f0904117e · outbound

This paper cites ImageNet : A large-scale hierarchical image database.

MANAS: Multi-Agent Neural Architecture Search ImageNet : A large-scale hierarchical image database

Reference 9

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-14T05:35:29.128162Z digest=sha256:568cbe39aebe303044275f1ea63c266d6fb74044aa57b6f272c58f815614adc2

Observation 50f45dfe-fda2-41d7-8339-cf0957ef33ba · outbound

This paper cites Learning generative visual models from few training examples: An incremental bayesian approach tested on 101 object categories.

MANAS: Multi-Agent Neural Architecture Search Learning generative visual models from few training examples: An incremental bayesian approach tested on 101 object categories

Reference 10

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Source-reported events for the cited work

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source=arxiv_source observed=2026-08-14T05:35:29.133788Z digest=sha256:fa978578ffe1eca6a4676e41323b72dc7be9f3b8433891f2b4ff555ca7f621dd

Observation 2f431ee4-e60d-4d9a-a10d-434e87eec0f2 · outbound

This paper cites Freedman.

MANAS: Multi-Agent Neural Architecture Search Freedman

Reference 11

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-14T05:35:29.137874Z digest=sha256:268481abc3f3ac29f7ad23024abd214915d8165241299a4f774f626671e2f36f

Observation bf685ff3-0981-47e3-ac69-fcd4ddc7fbb3 · outbound

This paper cites Deep pyramidal residual networks.

MANAS: Multi-Agent Neural Architecture Search Deep pyramidal residual networks

Reference 12

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-14T05:35:29.261947Z digest=sha256:aaed59914a4e276143a8f43a624ea4656392fc7093f4c16b77da7264860e8edb

Observation d420f1a2-4f3f-4492-97aa-2ac61dd31473 · outbound

This paper cites Deep residual learning for image recognition.

MANAS: Multi-Agent Neural Architecture Search Deep residual learning for image recognition

Reference 13

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-14T05:35:29.266226Z digest=sha256:4cd5c162a271a17566ada9b480c18998416f82eac5fb566ced1ec77ab8905767

Observation a11322fb-0e9d-436d-8dea-718d76bbb167 · outbound

This paper cites Densely connected convolutional networks.

MANAS: Multi-Agent Neural Architecture Search Densely connected convolutional networks

Reference 14

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-14T05:35:29.270825Z digest=sha256:851080c381c9d3399d3ec0111a0d3b463d6caaa6c44c91e702b419b1da370f6a

Observation 96c33341-0ac7-48d9-90ad-ea86548973f2 · outbound

This paper cites Imagenet classification leaderboard.

MANAS: Multi-Agent Neural Architecture Search Imagenet classification leaderboard

Reference 15

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-14T05:35:29.274678Z digest=sha256:e12e7164be5d87ce838a3b6e145eef2c27531fd4476f99a44791a0941acc4523

Observation 3eb814cc-5924-4ed6-9777-5ffdae5d7ac9 · outbound

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

MANAS: Multi-Agent Neural Architecture Search Learning multiple layers of features from tiny images

Reference 16

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no resolver link, observed 2026-08-14T05:35:29.278838Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T05:35:29.278838Z digest=sha256:28caddff410e0cf853182b00a05372735b835c92ce72a3e32d5ef15c9a97c9d7

Observation 60e8ebe7-1ffc-4900-bc63-0a3a6ea7878e · outbound

This paper cites What, where and who? classifying events by scene and object recognition.

MANAS: Multi-Agent Neural Architecture Search What, where and who? classifying events by scene and object recognition

Reference 17

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raw_fallback, observed 2026-08-14T05:35:29.618042Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-14T05:35:29.283146Z digest=sha256:2d7606482bd01b278c6c657b0b3bd4faa285d9ecbd92362e8d12b3accfaf2b8a

Observation 3d1eba44-a1f1-47fc-a7f7-5a54ad9b086b · outbound

This paper cites Random Search and Reproducibility for Neural Architecture Search.

MANAS: Multi-Agent Neural Architecture Search Random Search and Reproducibility for Neural Architecture Search

Reference 18

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Source-reported events for the cited work

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source=arxiv_source observed=2026-08-14T05:35:29.287057Z digest=sha256:d03a224137218d87b40f58941b9926a23f316d96471a5fb9be4d99970d861017

Observation 9188b42e-67aa-4166-b72a-eacee024fb4a · outbound

This paper cites Progressive neural architecture search.

MANAS: Multi-Agent Neural Architecture Search Progressive neural architecture search

Reference 19

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-14T05:35:29.290774Z digest=sha256:d67b993c8a26b49953e72e37d94417778259b37e509351a6be74492e6fc0e060

Observation 37741e6a-24fa-4b97-a1d8-f630bd5b1b70 · outbound

This paper cites Hierarchical representations for efficient architecture search.

MANAS: Multi-Agent Neural Architecture Search Hierarchical representations for efficient architecture search

Reference 20

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-14T05:35:29.294746Z digest=sha256:426cf9df1a17dad7c2e7278e0fcd588dfb67afd924558415e470fc0d143bff2f

Observation 146eea9c-ebc6-479f-ac3b-37f8fe386f01 · outbound

This paper cites DARTS : Differentiable architecture search.

MANAS: Multi-Agent Neural Architecture Search DARTS : Differentiable architecture search

Reference 21

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-14T05:35:29.298659Z digest=sha256:d705687209b1d5a166d6d5e387a63558136da7f138b335a166dadd642e2be62d

Observation 3bc1c407-4a2b-429b-9663-0b51dc1e7f1c · outbound

This paper cites Regularizing and optimizing LSTM language models.

MANAS: Multi-Agent Neural Architecture Search Regularizing and optimizing LSTM language models

Reference 22

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T05:35:29.302267Z digest=sha256:6574c5d0a67584d21802e0628de73de0bd063dbc0b85644c2f1349916991ab60

Observation 2b0247c5-8306-4eed-8a78-20ed0d644751 · outbound

This paper cites Efficient neural architecture search via parameter sharing.

MANAS: Multi-Agent Neural Architecture Search Efficient neural architecture search via parameter sharing

Reference 23

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-14T05:35:29.305918Z digest=sha256:f4e2e845013edbc716bf433be73654b52bc8dd0c84498c8c18b123a8e0c0b91d

Observation 644df1f6-8db2-4d66-ac1f-9a03dc86ec04 · outbound

This paper cites Recognizing indoor scenes.

MANAS: Multi-Agent Neural Architecture Search Recognizing indoor scenes

Reference 24

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-14T05:35:29.309353Z digest=sha256:c304eec39ad7f0cb00c7de3f7d8788f6b0a8eeac4d04a8c82557307833829349

Observation 7b28c0dd-33d4-43ca-9d6b-51e007580902 · outbound

This paper cites QMIX : Monotonic value function factorisation for deep multi-agent reinforcement learning.

MANAS: Multi-Agent Neural Architecture Search QMIX : Monotonic value function factorisation for deep multi-agent reinforcement learning

Reference 25

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raw_fallback, observed 2026-08-14T05:35:29.541329Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-14T05:35:29.312616Z digest=sha256:876086b51616b2b780640d8a91d8289add0fc2afe6c9744fcafe01ae3d9ac885

Observation f49446e4-0c05-4fae-bec8-b3a41a2f9f8a · outbound

This paper cites Large-scale evolution of image classifiers.

MANAS: Multi-Agent Neural Architecture Search Large-scale evolution of image classifiers

Reference 26

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-14T05:35:29.315893Z digest=sha256:9bb515ee9bc3d02c5b4b00b43d2f1f8e38d1d03a1ccee541fb7d7f7978a38e28

Observation 861f6200-2f8d-44c6-aee3-51ab0eab87b4 · outbound

This paper cites Regularized Evolution for Image Classifier Architecture Search.

MANAS: Multi-Agent Neural Architecture Search Regularized Evolution for Image Classifier Architecture Search

Reference 27

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no resolver link, observed 2026-08-14T05:35:29.319320Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T05:35:29.319320Z digest=sha256:32f259c4eab87d2e32bd4322f269ba2f687d64863afb48d34ed7efd632fe2b76

Observation a1bc3b72-1f3e-4892-8d2f-1c63d9b1bc06 · outbound

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

MANAS: Multi-Agent Neural Architecture Search Evaluating the Search Phase of Neural Architecture Search

Reference 28

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T05:35:29.323439Z digest=sha256:7e9338232262048e2d0eca5325decaa1b9ec193d8aae1bfca78d93f4f1f6824c

Observation 89c67bbb-eff6-4ebe-88ef-5cfff326a967 · outbound

This paper cites Inception-v4, Inception-ResNet and the impact of residual connections on learning.

MANAS: Multi-Agent Neural Architecture Search Inception-v4, Inception-ResNet and the impact of residual connections on learning

Reference 29

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raw_fallback, observed 2026-08-14T05:35:29.520305Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-14T05:35:29.327245Z digest=sha256:65b867098989eb3ce4c4bd975034882dc54564d31df8a7714364b5c556380183

Observation 56ed388b-cf42-445b-be39-3af555d8de23 · outbound

This paper cites SNAS : Stochastic neural architecture search.

MANAS: Multi-Agent Neural Architecture Search SNAS : Stochastic neural architecture search

Reference 30

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-14T05:35:29.330949Z digest=sha256:6bb29a50094d2db2a44851f58e53d7cf0bc61daec20a0155c4ae53cdc89f87c1

Observation 23aaf791-1487-4802-b77d-dc39a4affeda · outbound

This paper cites NAS evaluation is frustratingly hard.

MANAS: Multi-Agent Neural Architecture Search NAS evaluation is frustratingly hard

Reference 31

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-14T05:35:29.334669Z digest=sha256:fd4953343fb93ebe12c829b8b3696c7b5c9af8435ff9e3c36406469a579257ce

Observation f833ad4d-afc8-4134-a4d2-b5e8f9026dd4 · outbound

This paper cites ShuffleNet : An extremely efficient convolutional neural network for mobile devices.

MANAS: Multi-Agent Neural Architecture Search ShuffleNet : An extremely efficient convolutional neural network for mobile devices

Reference 32

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raw_fallback, observed 2026-08-14T05:35:29.488374Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-14T05:35:29.338472Z digest=sha256:8308bba5ec3195f3113af568f020a164af6f7bbf22723cb718ac130e74567d92

Observation ff5b7cf1-7853-4626-867a-3b7d18ff4209 · outbound

This paper cites Neural architecture search with reinforcement learning.

MANAS: Multi-Agent Neural Architecture Search Neural architecture search with reinforcement learning

Reference 33

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raw_fallback, observed 2026-08-14T05:35:29.477684Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-14T05:35:29.342072Z digest=sha256:2188a59fb44c764afe56adc4124826f9cfba87a94772041d2364b86d8cefbb5e

Observation 7872049c-ebd4-40c9-b23c-89b8fa163d69 · outbound

This paper cites Learning transferable architectures for scalable image recognition.

MANAS: Multi-Agent Neural Architecture Search Learning transferable architectures for scalable image recognition

Reference 34

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raw_fallback, observed 2026-08-14T05:35:29.466903Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-14T05:35:29.345674Z digest=sha256:2ec296ebc8787e6ea78d02b0dc4b30035f99d8ae74c7c239e2e48b58d002492c

Observation 7c743682-1134-42aa-b79b-f94537410623 · outbound

This paper cites @esa (Ref.

MANAS: Multi-Agent Neural Architecture Search @esa (Ref

Reference 35

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unresolved
no resolver link, observed 2026-08-14T05:35:29.349126Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T05:35:29.349126Z digest=sha256:eee6f93e6e2fbe137f3841b63a5632de9d509ff27c1d3ef49e027e565c1efa91

Observation 371b3c12-5b1d-411d-b1b1-f795a24c60a8 · outbound

This paper cites an unresolved cited work.

MANAS: Multi-Agent Neural Architecture Search Unresolved cited work

Reference 36

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no resolver link, observed 2026-08-14T05:35:29.353434Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T05:35:29.353434Z digest=sha256:140db2ee4905d9b8d95e1d5f5cc0c1698d4b782d171f948fd29ca719548479a0

Observation 0fda2a8b-9f1f-4c2e-a0e3-ccc2b16c2d0a · outbound

This paper cites linearity of convolution.

MANAS: Multi-Agent Neural Architecture Search linearity of convolution

Reference 37

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raw_fallback, observed 2026-08-14T05:35:29.439109Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-14T05:35:29.357596Z digest=sha256:2513d8abb6c9951e6dfb321342944d0087c87ce4eff7b23d79410f8b4c72faf2

Pith citing papers

No inbound Pith citation observations are available.