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Paper Citation Record · LEDGER

A Graph Neural Architecture Search Approach for Identifying Bots in Social Media

As of 13 August 2026, this Paper Citation Record lists 75 of 75 outbound references and 0 inbound Pith citation observations for arXiv:2411.16285.

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

pith.paper-citation-record.v1
2411.16285 v1

Coverage vector

measured 75 of 75 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T13:22:27.717725Z

measured 75 of 75 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+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

75 of 75 outbound references displayed

  • verified exact1
  • verified fuzzy67
  • unresolved7
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 677127ba-b10b-49a0-8245-37bb2d88a917 · outbound

This paper cites Multitask learning for recognizing stress and depression in social media.

A Graph Neural Architecture Search Approach for Identifying Bots in Social Media Multitask learning for recognizing stress and depression in social media

Reference 1

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raw_fallback, observed 2026-08-12T13:22:28.641335Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T13:22:27.342017Z digest=sha256:0ff28c0e2bfd711d30a6a761f17c0a4219001de078cb9bcde20144a7fc2f2a6f

Observation 56a546ed-3844-4a6e-ad2c-e92337b35979 · outbound

This paper cites Calibration of transformer-based models for identifying stress and depression in social media.

A Graph Neural Architecture Search Approach for Identifying Bots in Social Media Calibration of transformer-based models for identifying stress and depression in social media

Reference 2

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raw_fallback, observed 2026-08-12T13:22:28.629151Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T13:22:27.346716Z digest=sha256:d327303d4a03c3dc3d09b21dc66e19d7eebfe33c6e4c9f6a2722add11e9759fc

Observation 99f4f591-b541-4c19-9fe4-afe15bcfcadf · outbound

This paper cites Depression detection in social media posts using transformer-based models and auxiliary features.

A Graph Neural Architecture Search Approach for Identifying Bots in Social Media Depression detection in social media posts using transformer-based models and auxiliary features

Reference 3

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raw_fallback, observed 2026-08-12T13:22:28.618298Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T13:22:27.351547Z digest=sha256:b56524888b187a1e23b6141458bceb27e4408e80aa27d66575645e47b64724e2

Observation ef35739a-f6d6-44d6-b20c-529cc2f837a4 · outbound

This paper cites an unresolved cited work.

A Graph Neural Architecture Search Approach for Identifying Bots in Social Media Unresolved cited work

Reference 4

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unresolved
raw_fallback, observed 2026-08-12T13:22:28.606124Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T13:22:27.355999Z digest=sha256:4399251f2bc2119eeacfbb6e7aba925d6946d8c24cc9220bffd99debf65d378d

Observation 4dd92171-5560-44bc-9760-b3bd0d5a5ac5 · outbound

This paper cites Moffitt, and Kathleen M.

A Graph Neural Architecture Search Approach for Identifying Bots in Social Media Moffitt, and Kathleen M

Reference 5

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raw_fallback, observed 2026-08-12T13:22:28.596125Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T13:22:27.360501Z digest=sha256:44201a455685d05693acac19a265a80e2f9e7eaed4b831aa47d1f837b7de0e5a

Observation 50d10c26-7f4a-450b-a8e3-398535457931 · outbound

This paper cites How social bots can influence public opinion more effectively: Right connection strategy.

A Graph Neural Architecture Search Approach for Identifying Bots in Social Media How social bots can influence public opinion more effectively: Right connection strategy

Reference 6

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verified fuzzy
raw_fallback, observed 2026-08-12T13:22:28.585296Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T13:22:27.364843Z digest=sha256:18624deaef872ab0799b571cf928ff962da4ade06214f8cecb2d284cbef07251

Observation 1163aa5d-f786-4df3-bc41-e1e018ea69b4 · outbound

This paper cites Being my own gatekeeper, how i tell the fake and the real – fake news perception between typologies and sources.

A Graph Neural Architecture Search Approach for Identifying Bots in Social Media Being my own gatekeeper, how i tell the fake and the real – fake news perception between typologies and sources

Reference 7

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verified fuzzy
raw_fallback, observed 2026-08-12T13:22:28.573380Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T13:22:27.370180Z digest=sha256:01baef1d9f1c6a361bd046f4e57cf44c7e8c586b8e7de7830683b7360758029e

Observation 7f59bdf1-ae28-4f57-808f-b96310b13416 · outbound

This paper cites How does social media knowledge help in combating fake news? testing a structural equation model.

A Graph Neural Architecture Search Approach for Identifying Bots in Social Media How does social media knowledge help in combating fake news? testing a structural equation model

Reference 8

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raw_fallback, observed 2026-08-12T13:22:28.561475Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T13:22:27.374171Z digest=sha256:d3ca5ab9fac143e588271e7bc3ff83d405686e96508077fecf18b60a0ab4628b

Observation d6f9025f-6432-4200-ba2f-a6b2ad5dfb6c · outbound

This paper cites Seven months with the devils: A long-term study of content polluters on twitter.

A Graph Neural Architecture Search Approach for Identifying Bots in Social Media Seven months with the devils: A long-term study of content polluters on twitter

Reference 9

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raw_fallback, observed 2026-08-12T13:22:28.549259Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T13:22:27.378928Z digest=sha256:d3e381baae07f8c8282c838c99970359b2c194f2c5c73b1358564e6aee2a51b6

Observation 6b20a992-58d3-4f23-8e97-7f2cb29b1e2c · outbound

This paper cites Social fingerprinting: detection of spambot groups through dna-inspired behavioral modeling.

A Graph Neural Architecture Search Approach for Identifying Bots in Social Media Social fingerprinting: detection of spambot groups through dna-inspired behavioral modeling

Reference 10

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raw_fallback, observed 2026-08-12T13:22:28.537022Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T13:22:27.384863Z digest=sha256:5e2663f88dc18e31fb43c11a4088a9977fc28b3e7dbd863d69089270fa287d23

Observation 4b47ce08-2292-4064-8c2e-ba090d0714c1 · outbound

This paper cites An efficient reinforcement learning-based botnet detection approach.

A Graph Neural Architecture Search Approach for Identifying Bots in Social Media An efficient reinforcement learning-based botnet detection approach

Reference 11

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raw_fallback, observed 2026-08-12T13:22:28.525450Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T13:22:27.390784Z digest=sha256:d26454bf9a10b6530bedeff1ef05171b743aced1287a33f65eaa7d5f7cee2c21

Observation d1ab5b7b-058a-4da3-8b56-ecece64faec2 · outbound

This paper cites Botrgcn: Twitter bot detection with relational graph convolutional networks.

A Graph Neural Architecture Search Approach for Identifying Bots in Social Media Botrgcn: Twitter bot detection with relational graph convolutional networks

Reference 12

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raw_fallback, observed 2026-08-12T13:22:28.512494Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T13:22:27.398577Z digest=sha256:07082c1642b34546b888eadef4659f4958b8b1652e54efc10e114173063beb4f

Observation a2ad8a14-1f0c-4f18-a056-607835aa0667 · outbound

This paper cites Deep and flexible graph neural architecture search.

A Graph Neural Architecture Search Approach for Identifying Bots in Social Media Deep and flexible graph neural architecture search

Reference 13

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raw_fallback, observed 2026-08-12T13:22:28.499617Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T13:22:27.405120Z digest=sha256:8b30ed9eff7cf24dd8dad1ac16acbc3656c5e65d5257e5599860c2f8ece34ab6

Observation 477269bc-19e2-4a5a-894e-01efba22dfcc · outbound

This paper cites Twibot-20: A comprehensive twitter bot detection benchmark.

A Graph Neural Architecture Search Approach for Identifying Bots in Social Media Twibot-20: A comprehensive twitter bot detection benchmark

Reference 14

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verified fuzzy
raw_fallback, observed 2026-08-12T13:22:28.487479Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T13:22:27.412627Z digest=sha256:4f0aa1785ada4e9aafd1aea48b4a0776abbf53c5bbf1350e0dd3783a74e88e7c

Observation 0bb04a46-e6ad-4bb6-b396-c43c4e50d07d · outbound

This paper cites Social bots distort the 2016 u.s.

A Graph Neural Architecture Search Approach for Identifying Bots in Social Media Social bots distort the 2016 u.s

Reference 15

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verified fuzzy
raw_fallback, observed 2026-08-12T13:22:28.474943Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T13:22:27.418035Z digest=sha256:caf3eca03b971fe792abf68b1542ebf35e8542ecd0673b02aeb5c3c83a3330bf

Observation 2fe4e3d1-7327-410e-90dc-40f5a0211362 · outbound

This paper cites What types of covid-19 conspiracies are populated by twitter bots? First Monday, 5 2020.

A Graph Neural Architecture Search Approach for Identifying Bots in Social Media What types of covid-19 conspiracies are populated by twitter bots? First Monday, 5 2020

Reference 16

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raw_fallback, observed 2026-08-12T13:22:28.462080Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T13:22:27.424794Z digest=sha256:771750a1026d0f5f7969d6150c51f98de68444b3b8a3c79fa514f50cdfe793c0

Observation f263514c-a06b-44f4-af1f-d13e417f4060 · outbound

This paper cites Dialog in the echo chamber: Fake news framing predicts emotion, argumentation and dialogic social knowledge building in subsequent online discussions.

A Graph Neural Architecture Search Approach for Identifying Bots in Social Media Dialog in the echo chamber: Fake news framing predicts emotion, argumentation and dialogic social knowledge building in subsequent online discussions

Reference 17

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raw_fallback, observed 2026-08-12T13:22:28.449847Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T13:22:27.435116Z digest=sha256:abf400125bd8fa7001f3c35c33f0bd7ff62a00745b9a757c0727637445b83d8c

Observation 5463bc9b-f1e0-4d35-8dde-dedb81593caf · outbound

This paper cites Cyberbullying detection for low-resource languages and dialects: Re- view of the state of the art.

A Graph Neural Architecture Search Approach for Identifying Bots in Social Media Cyberbullying detection for low-resource languages and dialects: Re- view of the state of the art

Reference 18

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raw_fallback, observed 2026-08-12T13:22:28.439442Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T13:22:27.440525Z digest=sha256:d1d9b183ee7c40888b111c5735fad016de039fa8538cb9c72e949928435692df

Observation 62c1b8f7-c370-4847-b823-8fb09c97a076 · outbound

This paper cites Rosgas: Adaptive social bot detection with reinforced self-supervised gnn architecture search.

A Graph Neural Architecture Search Approach for Identifying Bots in Social Media Rosgas: Adaptive social bot detection with reinforced self-supervised gnn architecture search

Reference 19

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verified fuzzy
raw_fallback, observed 2026-08-12T13:22:28.429487Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T13:22:27.445591Z digest=sha256:b227f4e2d8e0af53240ce7d5df13764da2df71d91cf937e5386374c43a5f9cca

Observation f3a9e74b-65d5-4aa7-bb38-ff5552d77a68 · outbound

This paper cites Deep neural networks for bot detection.

A Graph Neural Architecture Search Approach for Identifying Bots in Social Media Deep neural networks for bot detection

Reference 20

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raw_fallback, observed 2026-08-12T13:22:28.418508Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T13:22:27.452286Z digest=sha256:adb002d6f2c188942542c008803e1e8a0c2b81bc98602c324b64ab3b33d41656

Observation c97a7d2a-107b-478f-bd96-aaae8920a3b7 · outbound

This paper cites Twitter bot detection using bidirec- tional long short-term memory neural networks and word embeddings.

A Graph Neural Architecture Search Approach for Identifying Bots in Social Media Twitter bot detection using bidirec- tional long short-term memory neural networks and word embeddings

Reference 21

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raw_fallback, observed 2026-08-12T13:22:28.408169Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T13:22:27.457464Z digest=sha256:143da1cd46faf16c18b21929bd165fd7792125c5e3184f03fa2109aead8b0877

Observation 3de3879b-ec4f-426d-b8c8-3377df30599a · outbound

This paper cites Rethinking graph neural architecture search from message-passing.

A Graph Neural Architecture Search Approach for Identifying Bots in Social Media Rethinking graph neural architecture search from message-passing

Reference 22

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verified fuzzy
raw_fallback, observed 2026-08-12T13:22:28.396432Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T13:22:27.462192Z digest=sha256:a2cc3adfc49273dad5344cca936deb8c8aa15bee720c56fc00f744923a505641

Observation c5d1320b-9048-43c0-8695-ccaf15c8f0bd · outbound

This paper cites Botornot: A system to evaluate social bots.

A Graph Neural Architecture Search Approach for Identifying Bots in Social Media Botornot: A system to evaluate social bots

Reference 23

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raw_fallback, observed 2026-08-12T13:22:28.384873Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T13:22:27.467203Z digest=sha256:5f1045cc8b0c53dab420af34f3e0af57c0b7540b5a5c3c622b6e61803c961960

Observation f61e6284-d81b-4bca-aabb-1900d08f5783 · outbound

This paper cites Botometer 101: Social bot practicum for computational social scientists.

A Graph Neural Architecture Search Approach for Identifying Bots in Social Media Botometer 101: Social bot practicum for computational social scientists

Reference 24

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verified fuzzy
raw_fallback, observed 2026-08-12T13:22:28.373971Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T13:22:27.472556Z digest=sha256:86466cbac7a3b6a3498659d2a72f6d06fbfc5bdaa351c5d9741137818a47667f

Observation c5c34d6d-694f-45d4-8cec-698099b0f2de · outbound

This paper cites Twitter bot detection using diverse content features and applying ma- chine learning algorithms.

A Graph Neural Architecture Search Approach for Identifying Bots in Social Media Twitter bot detection using diverse content features and applying ma- chine learning algorithms

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T13:22:28.362465Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T13:22:27.476922Z digest=sha256:490f50337537cc329022249c989b50216679826810ec5cfce44d4115c1e8adcf

Observation fd2a3f6f-cdfa-4414-8cdf-68a87cef95f2 · outbound

This paper cites Bot-mgat: A transfer learning model based on a multi-view graph attention network to detect social bots.

A Graph Neural Architecture Search Approach for Identifying Bots in Social Media Bot-mgat: A transfer learning model based on a multi-view graph attention network to detect social bots

Reference 26

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verified fuzzy
raw_fallback, observed 2026-08-12T13:22:28.350925Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T13:22:27.483097Z digest=sha256:7b3a919a682382daa61cffd45f6893688d6b035976de5ec924cece2e8bbcb7dd

Observation 777e31f1-9061-43e4-aaa1-640705a1227e · outbound

This paper cites Satar: A self-supervised approach to twitter account representation learning and its application in bot detection.

A Graph Neural Architecture Search Approach for Identifying Bots in Social Media Satar: A self-supervised approach to twitter account representation learning and its application in bot detection

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T13:22:28.337329Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T13:22:27.487623Z digest=sha256:37b0b02012a5ee21347ea34ce82410fe065116ee9fc64706084a766e0b8ced4d

Observation 53b662b3-7e45-44a6-8788-f2accfbfbf3c · outbound

This paper cites Detecting malicious activity in twitter using deep learning techniques.

A Graph Neural Architecture Search Approach for Identifying Bots in Social Media Detecting malicious activity in twitter using deep learning techniques

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T13:22:28.322676Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T13:22:27.493532Z digest=sha256:21bbf95957bec545ecad03db3e75c7fb56eaecff602ad95fdb66716e4c33ab8c

Observation 1cf9babe-1beb-489b-af20-6fc531753c67 · outbound

This paper cites Mul- timodal detection of bots on x (twitter) using transformers.

A Graph Neural Architecture Search Approach for Identifying Bots in Social Media Mul- timodal detection of bots on x (twitter) using transformers

Reference 29

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verified fuzzy
raw_fallback, observed 2026-08-12T13:22:28.310678Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T13:22:27.498199Z digest=sha256:cfbbdaa3f0394f1054cd86e00485ca7ee16a1abf53b4e3fc5ff7d5d072a9bfda

Observation 18f2f671-58c1-4cd4-acd8-7db880c5a522 · outbound

This paper cites Twitter bot detection using neural networks and linguistic embeddings.

A Graph Neural Architecture Search Approach for Identifying Bots in Social Media Twitter bot detection using neural networks and linguistic embeddings

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T13:22:28.299434Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T13:22:27.501911Z digest=sha256:8f493b6c2bf6fb9ea59a72f6e920626107d34a9f95d188288a843b6a0530f19d

Observation cd1df582-d761-4a76-b46a-dd27d2a08860 · outbound

This paper cites Multi-view co- attention network for fake news detection by modeling topic-specific user and news source credibility.

A Graph Neural Architecture Search Approach for Identifying Bots in Social Media Multi-view co- attention network for fake news detection by modeling topic-specific user and news source credibility

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T13:22:28.287371Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T13:22:27.505563Z digest=sha256:aeda2b7f89acef0b796f7971c6e6d141cb3b2f23b0da9c89b709d07b084bc6cc

Observation b2841bd9-aaad-497d-9bc1-e22493e02260 · outbound

This paper cites BotArtist: Generic approach for bot detection in Twitter via semi-automatic machine learning pipeline.

A Graph Neural Architecture Search Approach for Identifying Bots in Social Media BotArtist: Generic approach for bot detection in Twitter via semi-automatic machine learning pipeline

Reference 32

Resolution
verified exact
local_arxiv, observed 2026-08-12T13:22:27.782139Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T13:22:27.510449Z digest=sha256:c608bc53ae72114179c2c07a3422dc6fbaab0a5501f5bcba8f13b14896044d25

Observation c0a09f20-698d-4ba9-b458-a1262b3686f3 · outbound

This paper cites Twitter bot detection and ranking using supervised machine learning models.

A Graph Neural Architecture Search Approach for Identifying Bots in Social Media Twitter bot detection and ranking using supervised machine learning models

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T13:22:28.275590Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T13:22:27.516828Z digest=sha256:b0f22f0b4f6693a79fbe605afe9f6b57794bea2315812d9f07453010068e8b4e

Observation 85aace22-7d24-4b6e-ba32-f4de3775872f · outbound

This paper cites Botmoe: Twitter bot detection with community- aware mixtures of modal-specific experts.

A Graph Neural Architecture Search Approach for Identifying Bots in Social Media Botmoe: Twitter bot detection with community- aware mixtures of modal-specific experts

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T13:22:28.262833Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T13:22:27.523525Z digest=sha256:10bdd0d79e67a52fbf481c0b05ef67cefaca9e09e14d4b53ace29e6c82bce934

Observation cf6e231f-170a-4f15-ba4d-b57417176a8a · outbound

This paper cites A statistical approach for reducing misinformation propagation on twitter social media.

A Graph Neural Architecture Search Approach for Identifying Bots in Social Media A statistical approach for reducing misinformation propagation on twitter social media

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T13:22:28.244038Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T13:22:27.533983Z digest=sha256:81b623a11a825c4710cebb2b4fddc54944513d5c4232b041aa10d609d8701ab6

Observation 58405e38-9a83-4366-9831-a1c94692f150 · outbound

This paper cites Caleb: A conditional adversarial learning framework to enhance bot detection.

A Graph Neural Architecture Search Approach for Identifying Bots in Social Media Caleb: A conditional adversarial learning framework to enhance bot detection

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T13:22:28.231739Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T13:22:27.538840Z digest=sha256:a018ed14965bb07888db9a8cfaca45f9c6b8c6bcd3bac72f0625263a5210df0f

Observation a878f102-6675-4cbf-8ef0-ecf1d01ac6db · outbound

This paper cites Scalable and generalizable social bot detection through data selec- tion.

A Graph Neural Architecture Search Approach for Identifying Bots in Social Media Scalable and generalizable social bot detection through data selec- tion

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T13:22:28.217843Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T13:22:27.543063Z digest=sha256:b480a0f218942bd6b4057dd6b738fae788d634ad6eb2b8e479f69261fda3d4d2

Observation 588c2eab-fd7c-40a7-b8d7-088ffaae0429 · outbound

This paper cites Real-time bot infection detection system using dns fingerprinting and machine-learning.

A Graph Neural Architecture Search Approach for Identifying Bots in Social Media Real-time bot infection detection system using dns fingerprinting and machine-learning

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T13:22:28.203095Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T13:22:27.547692Z digest=sha256:cd0f468fe4cb529a573fe58f3f617285707ba3942714294aeabbe38874e7464a

Observation abb7d0f0-7212-49f4-a72c-2a47ce8b4691 · outbound

This paper cites Twitter spammer detection using data stream clustering.

A Graph Neural Architecture Search Approach for Identifying Bots in Social Media Twitter spammer detection using data stream clustering

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T13:22:28.191656Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T13:22:27.551931Z digest=sha256:63e5ebdedf45d315b4aba64982c764014b65764e2d2fc8cc41406ab86e8df680

Observation 9af0d4dd-8dc4-441e-8957-65b793a4e664 · outbound

This paper cites Debot: Twitter bot detection via warped correlation.

A Graph Neural Architecture Search Approach for Identifying Bots in Social Media Debot: Twitter bot detection via warped correlation

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T13:22:28.178792Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T13:22:27.556204Z digest=sha256:fe20c6b3100e571489fa12069f7232ac4baac10a350c6254abf63d9b16ffbbe8

Observation 521e6f57-8054-4bcd-ace3-51d6d463885e · outbound

This paper cites Botwalk: Efficient adaptive exploration of twitter bot networks.

A Graph Neural Architecture Search Approach for Identifying Bots in Social Media Botwalk: Efficient adaptive exploration of twitter bot networks

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T13:22:28.167188Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T13:22:27.561208Z digest=sha256:25faeca32ece6b1080e86126d502c8778e30e7029e06c612df9a81b564ccd721

Observation 1479af1a-f8fd-4e16-8df8-0159ef81bd3f · outbound

This paper cites Mannocci, S.

A Graph Neural Architecture Search Approach for Identifying Bots in Social Media Mannocci, S

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T13:22:28.154080Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T13:22:27.565733Z digest=sha256:0a5b16c0375421af962d4a6f6503b3b009fb4cadcfe10c0daf6b8cdc86a67ffb

Observation 2d62a035-4de2-47ae-bd43-086e5927bebc · outbound

This paper cites Twitter bot detection through unsupervised machine learning.

A Graph Neural Architecture Search Approach for Identifying Bots in Social Media Twitter bot detection through unsupervised machine learning

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T13:22:28.141723Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T13:22:27.569582Z digest=sha256:64e2528eebd09f9d222541ec1c721f181753ff030ef3be207f0975cb27760d8e

Observation 9d8ff1ba-4fc5-4b9a-8b92-c3ed1e155434 · outbound

This paper cites An unsupervised method for social network spammer detection based on user information interests.

A Graph Neural Architecture Search Approach for Identifying Bots in Social Media An unsupervised method for social network spammer detection based on user information interests

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T13:22:28.128578Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T13:22:27.573746Z digest=sha256:a2854989e00074a61b2c11d70afd029bdea0ad2995c0b728a7af2425a5d12714

Observation 6e3c7684-9dfd-40e6-a81a-1374c0590460 · outbound

This paper cites an unresolved cited work.

A Graph Neural Architecture Search Approach for Identifying Bots in Social Media Unresolved cited work

Reference 45

Resolution
unresolved
raw_fallback, observed 2026-08-12T13:22:28.115553Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T13:22:27.584964Z digest=sha256:c6ccda36b2a478c7151e127a082490c54d25cbf1bbaaa756b507a68e4141f6c0

Observation 2aa9a201-7363-4086-befd-34e60f0080b8 · outbound

This paper cites Detect me if you can: Spam bot detection using inductive representation learning.

A Graph Neural Architecture Search Approach for Identifying Bots in Social Media Detect me if you can: Spam bot detection using inductive representation learning

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T13:22:28.101132Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T13:22:27.589584Z digest=sha256:28db3af70cca7aaea3adcd4ff2f5d7acf22e4495c1959ff609babc192741f6d5

Observation e1a3d106-8bbd-4413-bef0-a067446376bf · outbound

This paper cites Heterogeneity- aware twitter bot detection with relational graph transformers.

A Graph Neural Architecture Search Approach for Identifying Bots in Social Media Heterogeneity- aware twitter bot detection with relational graph transformers

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T13:22:28.079568Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T13:22:27.601871Z digest=sha256:456ff6ba68c721601c4ee102e4d457daa87c0b4bdbd866bec80aa2df650030ce

Observation f0080184-afd6-464e-a083-af84dc3af0e1 · outbound

This paper cites You talkin’ to me? exploring human/bot communication patterns during riot events.

A Graph Neural Architecture Search Approach for Identifying Bots in Social Media You talkin’ to me? exploring human/bot communication patterns during riot events

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T13:22:28.067111Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T13:22:27.606671Z digest=sha256:a7a6a8f36bbb205b3c00c5abf5b18aef7b41ac2374b10ed16ee4447b3305c587

Observation e11ba3ff-3d6a-404d-ab1c-6ec2b5ddf892 · outbound

This paper cites Twitter bot detection using social network analysis.

A Graph Neural Architecture Search Approach for Identifying Bots in Social Media Twitter bot detection using social network analysis

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T13:22:28.056153Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T13:22:27.610874Z digest=sha256:a16a7a00eeea6e69c3518dcf4f24156a21bfccf8d29447346d52aa3b717f29e8

Observation 60298227-1949-4b9f-9c89-4d53f4a55586 · outbound

This paper cites Detecting bots in social-networks using node and structural embeddings.

A Graph Neural Architecture Search Approach for Identifying Bots in Social Media Detecting bots in social-networks using node and structural embeddings

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T13:22:28.045872Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T13:22:27.615251Z digest=sha256:25e38b1d7539161b7fd913d3169ba9545f360818eb78f501adbff62336ba1323

Observation cbc7fff5-c02c-4296-a37a-c9a191fd5618 · outbound

This paper cites Nguyen, Bay V o, and Unil Yun.

A Graph Neural Architecture Search Approach for Identifying Bots in Social Media Nguyen, Bay V o, and Unil Yun

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T13:22:28.034733Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T13:22:27.619645Z digest=sha256:58c35ebe838795a3836cdc26b7d52d36e3284c49bb5f642066acdd287c106099

Observation 10d8dfc1-6a35-41db-9e25-e87800295549 · outbound

This paper cites Opinion spam detection: Using multi-iterative graph-based model.

A Graph Neural Architecture Search Approach for Identifying Bots in Social Media Opinion spam detection: Using multi-iterative graph-based model

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T13:22:28.025052Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T13:22:27.623723Z digest=sha256:d4ba01a438e79a1fb5898f6ed1032a3449f9ec28f0d3ceb0c8b1d6055f6e209c

Observation 4bd7473b-f6af-4e17-8284-4c6eb5238c5d · outbound

This paper cites HOFA: Twitter Bot Detection with Homophily-Oriented Augmentation and Frequency Adaptive Attention.

A Graph Neural Architecture Search Approach for Identifying Bots in Social Media HOFA: Twitter Bot Detection with Homophily-Oriented Augmentation and Frequency Adaptive Attention

Reference 53

Resolution
unresolved
no resolver link, observed 2026-08-12T13:22:27.627811Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T13:22:27.627811Z digest=sha256:72ce0b2143df8b1658c7ceb3b668b0d32a4cde8420163567c8330a633b79c853

Observation a356f120-b956-4ade-9b8a-9c2447369676 · outbound

This paper cites Similcatch: Enhanced social spammers detection on twitter using markov random fields.

A Graph Neural Architecture Search Approach for Identifying Bots in Social Media Similcatch: Enhanced social spammers detection on twitter using markov random fields

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T13:22:28.012231Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T13:22:27.633833Z digest=sha256:60b85490828c6f2461c963746966802119c854833de108d550a17be9080bfff9

Observation 741fa3a9-847d-4ccd-b9cc-be8b8bb73552 · outbound

This paper cites Auto-gnn: Neural architecture search of graph neural networks.

A Graph Neural Architecture Search Approach for Identifying Bots in Social Media Auto-gnn: Neural architecture search of graph neural networks

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T13:22:28.001156Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T13:22:27.638999Z digest=sha256:efa0e621fb520e885e2c3f699081483f7e0fd0724434a9de9a0514158146eb92

Observation 6948fc9a-01b0-41d7-a1bd-d08fdeb42d10 · outbound

This paper cites Graph neural architecture search.

A Graph Neural Architecture Search Approach for Identifying Bots in Social Media Graph neural architecture search

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T13:22:27.990897Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T13:22:27.642992Z digest=sha256:57a8d889ec52aa43cdf02466e4b5a7a1b6bfd42f06b26e170a3d3a6d32a374ce

Observation c4681a43-befb-40b9-8823-e588eb9b947e · outbound

This paper cites Simplifying Architecture Search for Graph Neural Network.

A Graph Neural Architecture Search Approach for Identifying Bots in Social Media Simplifying Architecture Search for Graph Neural Network

Reference 57

Resolution
unresolved
no resolver link, observed 2026-08-12T13:22:27.647593Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T13:22:27.647593Z digest=sha256:ad3bbf7d8aeacc52afeaad1955aaf1c54ddafb301680e119290f0151dcf094d6

Observation fa3becaa-49f4-4b00-b132-b5fc1cbead97 · outbound

This paper cites an unresolved cited work.

A Graph Neural Architecture Search Approach for Identifying Bots in Social Media Unresolved cited work

Reference 58

Resolution
unresolved
raw_fallback, observed 2026-08-12T13:22:27.980848Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T13:22:27.652450Z digest=sha256:44626452992a970c1679e359d7ed20c9eaa26b18d29c0454c18505082e612b4b

Observation 1d138b26-0a1a-4816-94d7-28eda0935046 · outbound

This paper cites Meta-gnas: Meta-reinforcement learning for graph neural architecture search.

A Graph Neural Architecture Search Approach for Identifying Bots in Social Media Meta-gnas: Meta-reinforcement learning for graph neural architecture search

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T13:22:27.970302Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T13:22:27.657823Z digest=sha256:c5582e5ebaca98dc04c5c4e02052ec0989d6a60a9aa1b61bf77a238eca27ea31

Observation 44901e00-89ad-485e-b48c-db2a4919b2fa · outbound

This paper cites Learning graph convolutional network for skeleton-based human action recog- nition by neural searching.

A Graph Neural Architecture Search Approach for Identifying Bots in Social Media Learning graph convolutional network for skeleton-based human action recog- nition by neural searching

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T13:22:27.959153Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T13:22:27.661872Z digest=sha256:682cd17876fc47932ac8f894f1ad77f4b8d8eb508a42710ca3abf0d702131758

Observation 89c0e3cb-7a84-4b88-b05e-e3d0cb0e5ec8 · outbound

This paper cites Jiang and P.

A Graph Neural Architecture Search Approach for Identifying Bots in Social Media Jiang and P

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T13:22:27.948096Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T13:22:27.666207Z digest=sha256:afe912493a2755ed5ef1109b1dda5c7e253d146af3715683a0b5745644acc3f1

Observation ba900a5f-58d9-46fe-9edf-d352c9fca60f · outbound

This paper cites Fast evolutionary neural architecture search by contrastive predictor with linear regions.

A Graph Neural Architecture Search Approach for Identifying Bots in Social Media Fast evolutionary neural architecture search by contrastive predictor with linear regions

Reference 62

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T13:22:27.938021Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T13:22:27.670353Z digest=sha256:88488b313ff7cf457be5739d17d2f863c10c79dde752cf4429bd7203fe6a0930

Observation e08c9ee1-8280-429e-9fe9-3a7fe77dbe7d · outbound

This paper cites Evolutionary architecture search via adaptive parameter control and gene potential contribution.

A Graph Neural Architecture Search Approach for Identifying Bots in Social Media Evolutionary architecture search via adaptive parameter control and gene potential contribution

Reference 63

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T13:22:27.925278Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T13:22:27.674536Z digest=sha256:3b1c4675905fa783ebbd4d97216094a925ce490b8ebb23d3e4068b7474836717

Observation 033d7cfc-16c4-42f0-9893-2574f1769db5 · outbound

This paper cites Alexandre.

A Graph Neural Architecture Search Approach for Identifying Bots in Social Media Alexandre

Reference 64

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T13:22:27.914003Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T13:22:27.679307Z digest=sha256:a055252e6905dd42eec43ed10f9cd892bb66c3860c55c4fece9a7293f064d55d

Observation db45d35a-01ee-4468-b8e1-d71cf2fdf51b · outbound

This paper cites Search to aggregate neighborhood for graph neural network.

A Graph Neural Architecture Search Approach for Identifying Bots in Social Media Search to aggregate neighborhood for graph neural network

Reference 65

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T13:22:27.901286Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T13:22:27.682761Z digest=sha256:0e2eef90474b866d730a2a7834feb13e75fa9047d1baec4353eddd261b035b2f

Observation 2cc6e988-ca94-4d1a-b4a4-6ff8220cf579 · outbound

This paper cites One-shot graph neural architecture search with dynamic search space.

A Graph Neural Architecture Search Approach for Identifying Bots in Social Media One-shot graph neural architecture search with dynamic search space

Reference 66

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T13:22:27.890330Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T13:22:27.686695Z digest=sha256:50a92581e4eff8588901ab4646f3151654da28bb7769b73a6bcfff7d99cd5393

Observation 8f4592d5-8a10-4288-aaf4-2681d059c2a6 · outbound

This paper cites A neural architecture search method based on gradient descent for remaining useful life estimation.

A Graph Neural Architecture Search Approach for Identifying Bots in Social Media A neural architecture search method based on gradient descent for remaining useful life estimation

Reference 67

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T13:22:27.878910Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T13:22:27.690874Z digest=sha256:4a8f481f6abfef97add5b30a1bcd296908650047c2b4f1d189e859b7155f2ebe

Observation a6cc7027-ba67-40b1-a6ff-5be77070d950 · outbound

This paper cites Online game bot detection based on party-play log analysis.

A Graph Neural Architecture Search Approach for Identifying Bots in Social Media Online game bot detection based on party-play log analysis

Reference 68

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T13:22:27.867719Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T13:22:27.694564Z digest=sha256:2594536f3c47f65a5ebe1ae13843192817f0055742dca2fff647dd547fe39e95

Observation 236a100b-3959-4c50-805c-b9d10b3a8fc4 · outbound

This paper cites A high level security mechanism for internet polls.

A Graph Neural Architecture Search Approach for Identifying Bots in Social Media A high level security mechanism for internet polls

Reference 69

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T13:22:27.854165Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T13:22:27.699413Z digest=sha256:3b7fc53f381cd7e502cc67d583f5fdd0ac6613326450c2635afaf6ea426fee52

Observation 863ea89b-49f5-4eb2-9304-4f660155e9bc · outbound

This paper cites Twibot-22: towards graph- based twitter bot detection.

A Graph Neural Architecture Search Approach for Identifying Bots in Social Media Twibot-22: towards graph- based twitter bot detection

Reference 70

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T13:22:27.841253Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T13:22:27.703435Z digest=sha256:30a0b9ea8391cdb1005e112d21e06e40b8ffb17a85bf6f6dbc9a296a2ef86d32

Observation 34981ec1-68eb-48de-9ad4-49ed62b311dd · outbound

This paper cites A multimodal approach for dementia detection from spontaneous speech with tensor fusion layer.

A Graph Neural Architecture Search Approach for Identifying Bots in Social Media A multimodal approach for dementia detection from spontaneous speech with tensor fusion layer

Reference 71

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T13:22:27.827974Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T13:22:27.707547Z digest=sha256:1a0058db6603d5351241de3156e71a184a8dc92cac2cfda88922656138632610

Observation 6b8520c1-b8eb-4a41-9f60-ecba192669ec · outbound

This paper cites Context-aware attention layers coupled with optimal transport domain adaptation and multimodal fusion methods for recognizing dementia from spontaneous speech.

A Graph Neural Architecture Search Approach for Identifying Bots in Social Media Context-aware attention layers coupled with optimal transport domain adaptation and multimodal fusion methods for recognizing dementia from spontaneous speech

Reference 72

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T13:22:27.713316Z digest=sha256:5b25b0fbbb34121f3a084918bc32900c44b2a4547637a1843797b990945cd148

Observation b31e45bd-3199-4e27-bb48-e87e3876288e · outbound

This paper cites Neural architecture search with multimodal fusion methods for diagnosing dementia.

A Graph Neural Architecture Search Approach for Identifying Bots in Social Media Neural architecture search with multimodal fusion methods for diagnosing dementia

Reference 73

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T13:22:27.797736Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T13:22:27.717725Z digest=sha256:3f7dff8aa752998c91b5288d9980182ff18dd014ffd2a361ad3dd7b4780a6da3

Observation d711ef06-f00a-4311-8fc8-3b455c0f3c04 · outbound

This paper cites an unresolved cited work.

A Graph Neural Architecture Search Approach for Identifying Bots in Social Media Unresolved cited work

Reference 2019

Resolution
unresolved
no resolver link, observed 2026-08-12T13:22:27.596243Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T13:22:27.596243Z digest=sha256:9d3a50c752ae4873894cd6b7f7743baf4f6495fbbc998f74b23bb1098cd30832

Observation 13fd3247-bc17-4f68-a523-b0c1bbd674a1 · outbound

This paper cites an unresolved cited work.

A Graph Neural Architecture Search Approach for Identifying Bots in Social Media Unresolved cited work

Reference 2023

Resolution
unresolved
no resolver link, observed 2026-08-12T13:22:27.528557Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T13:22:27.528557Z digest=sha256:eb4d6c7ce61ffd963890418a0e29f4edcbff153d78d3e8998d09ea7cc4e42f5e

Pith citing papers

No inbound Pith citation observations are available.