Paper Citation Record · LEDGER

An Adaptive Supervised Contrastive Learning Framework for Implicit Sexism Detection in Digital Social Networks

As of 8 August 2026, this Paper Citation Record lists 37 of 37 outbound references and 0 inbound Pith citation observations for arXiv:2507.05271.

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

pith.paper-citation-record.v1
2507.05271 v1

Coverage vector

measured 37 of 37 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T20:27:55.320648Z

measured 37 of 37 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+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

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation aeea934a-5dcf-4c50-a29c-b2eb45491cee · outbound

This paper cites Internet and Social Media Users in the World 2024.

An Adaptive Supervised Contrastive Learning Framework for Implicit Sexism Detection in Digital Social Networks Internet and Social Media Users in the World 2024

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:27:55.667580Z

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 313be6f7-5798-486e-ab45-78da344ec56e · outbound

This paper cites User-aware multilingual abusive content detection in social media,.

An Adaptive Supervised Contrastive Learning Framework for Implicit Sexism Detection in Digital Social Networks User-aware multilingual abusive content detection in social media,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:27:55.659005Z

Source-reported events for the cited work

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Observation ee08b51a-c8a6-4b8a-8282-a1dee11f3048 · outbound

This paper cites Overview of exist 2021: sex- ism identification in social networks,.

An Adaptive Supervised Contrastive Learning Framework for Implicit Sexism Detection in Digital Social Networks Overview of exist 2021: sex- ism identification in social networks,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:27:55.650520Z

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 8a530947-a7b0-4eb8-a10d-6c44e318f732 · outbound

This paper cites Multi-label Categorization of Accounts of Sexism using a Neural Framework.

An Adaptive Supervised Contrastive Learning Framework for Implicit Sexism Detection in Digital Social Networks Multi-label Categorization of Accounts of Sexism using a Neural Framework

Reference 4

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Observation f35b4b6b-8629-46ab-ba4c-f4e0156fc2e4 · outbound

This paper cites An efficient bert based approach to detect aggression and misogyny,.

An Adaptive Supervised Contrastive Learning Framework for Implicit Sexism Detection in Digital Social Networks An efficient bert based approach to detect aggression and misogyny,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:27:55.641724Z

Source-reported events for the cited work

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Observation 4e9bfdae-6a8f-43b3-9a7f-e073c7828273 · outbound

This paper cites Aggression and misogyny detection using bert: A multi-task approach,.

An Adaptive Supervised Contrastive Learning Framework for Implicit Sexism Detection in Digital Social Networks Aggression and misogyny detection using bert: A multi-task approach,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:27:55.633273Z

Source-reported events for the cited work

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Observation 305dc23a-6e4c-4fb1-b62f-0505204c9f24 · outbound

This paper cites Roberta: A robustly opti- mized bert pretraining approach,.

An Adaptive Supervised Contrastive Learning Framework for Implicit Sexism Detection in Digital Social Networks Roberta: A robustly opti- mized bert pretraining approach,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:27:55.624544Z

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Observation fb2943ce-73ac-4292-b983-3c5ba0613dbc · outbound

This paper cites Hierarchical attention-enhanced contex- tual capsulenet for multilingual hope speech detection,.

An Adaptive Supervised Contrastive Learning Framework for Implicit Sexism Detection in Digital Social Networks Hierarchical attention-enhanced contex- tual capsulenet for multilingual hope speech detection,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:27:55.615877Z

Source-reported events for the cited work

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Observation 0c1ecdf5-11d0-4c57-b7f8-10abf09438da · outbound

This paper cites Hateful symbols or hateful people? predictive features for hate speech detection on twitter,.

An Adaptive Supervised Contrastive Learning Framework for Implicit Sexism Detection in Digital Social Networks Hateful symbols or hateful people? predictive features for hate speech detection on twitter,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:27:55.607394Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 8760ddf4-5766-47b2-9a62-a42374c0e06a · outbound

This paper cites Hate speech detection in the indonesian language: A dataset and prelimi- nary study,.

An Adaptive Supervised Contrastive Learning Framework for Implicit Sexism Detection in Digital Social Networks Hate speech detection in the indonesian language: A dataset and prelimi- nary study,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:27:55.598454Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation d7f0cb50-5511-4358-ac98-35c7a7983c8b · outbound

This paper cites Deep learning for hate speech detection in tweets,.

An Adaptive Supervised Contrastive Learning Framework for Implicit Sexism Detection in Digital Social Networks Deep learning for hate speech detection in tweets,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:27:55.589918Z

Source-reported events for the cited work

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Observation 67bbdd78-5b5f-4e56-b7f1-da0faa5d331e · outbound

This paper cites Detecting hate speech on twitter using a convolution-gru based deep neural network,.

An Adaptive Supervised Contrastive Learning Framework for Implicit Sexism Detection in Digital Social Networks Detecting hate speech on twitter using a convolution-gru based deep neural network,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:27:55.581596Z

Source-reported events for the cited work

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Observation 9c80b400-7a3c-4756-bf9b-87c94f4c3d5b · outbound

This paper cites Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation.

An Adaptive Supervised Contrastive Learning Framework for Implicit Sexism Detection in Digital Social Networks Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation

Reference 13

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Source-reported events for the cited work

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Observation 11632d69-b80a-45a2-9988-864badeaaff7 · outbound

This paper cites Attention is all you need,.

An Adaptive Supervised Contrastive Learning Framework for Implicit Sexism Detection in Digital Social Networks Attention is all you need,

Reference 14

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Observation da42afda-49ef-47b8-97a9-cef1ebead461 · outbound

This paper cites BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding.

An Adaptive Supervised Contrastive Learning Framework for Implicit Sexism Detection in Digital Social Networks BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Reference 15

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Observation 7266f4e4-c9f0-45f0-8207-c16fb2766eb9 · outbound

This paper cites A context- aware attention and graph neural network- based multimodal framework for misogyny detection,.

An Adaptive Supervised Contrastive Learning Framework for Implicit Sexism Detection in Digital Social Networks A context- aware attention and graph neural network- based multimodal framework for misogyny detection,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:27:55.567237Z

Source-reported events for the cited work

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Observation a26d4bb8-b316-4319-8ee4-d1abdef7b1c3 · outbound

This paper cites A contrastive topic-aware attentive frame- work with label encodings for post-disaster resource classification,.

An Adaptive Supervised Contrastive Learning Framework for Implicit Sexism Detection in Digital Social Networks A contrastive topic-aware attentive frame- work with label encodings for post-disaster resource classification,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:27:55.559014Z

Source-reported events for the cited work

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Observation ffb738d5-9b01-4fd0-9356-c7b68a9e62a7 · outbound

This paper cites An explainable contrastive- based dilated convolutional network with transformer for pediatric pneumonia detec- tion,.

An Adaptive Supervised Contrastive Learning Framework for Implicit Sexism Detection in Digital Social Networks An explainable contrastive- based dilated convolutional network with transformer for pediatric pneumonia detec- tion,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:27:55.551062Z

Source-reported events for the cited work

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Observation 1057237d-628c-47fb-ba0a-936ff2c28bce · outbound

This paper cites A simple framework for con- trastive learning of visual representations,.

An Adaptive Supervised Contrastive Learning Framework for Implicit Sexism Detection in Digital Social Networks A simple framework for con- trastive learning of visual representations,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:27:55.541474Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 4e2045ff-e600-48a5-8675-72a075802490 · outbound

This paper cites Supervised contrastive learn- ing,.

An Adaptive Supervised Contrastive Learning Framework for Implicit Sexism Detection in Digital Social Networks Supervised contrastive learn- ing,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:27:55.532630Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 278a26d1-e6cd-49cb-bb1d-2c494f861834 · outbound

This paper cites Vi2clr: Video and image for visual con- trastive learning of representation,.

An Adaptive Supervised Contrastive Learning Framework for Implicit Sexism Detection in Digital Social Networks Vi2clr: Video and image for visual con- trastive learning of representation,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:27:55.524611Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation f85a10f0-b811-4ca3-8e49-83991ea63ba6 · outbound

This paper cites Bootstrap your own latent-a new approach to self-supervised learning,.

An Adaptive Supervised Contrastive Learning Framework for Implicit Sexism Detection in Digital Social Networks Bootstrap your own latent-a new approach to self-supervised learning,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:27:55.516401Z

Source-reported events for the cited work

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Observation ea46b906-797e-49a5-acf3-7cdd64a27624 · outbound

This paper cites SimCSE: Simple Contrastive Learning of Sentence Embeddings.

An Adaptive Supervised Contrastive Learning Framework for Implicit Sexism Detection in Digital Social Networks SimCSE: Simple Contrastive Learning of Sentence Embeddings

Reference 23

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Observation 2f1d9545-7a66-475c-945c-f39da668a109 · outbound

This paper cites Multilingual sexism identification using contrastive learning.,.

An Adaptive Supervised Contrastive Learning Framework for Implicit Sexism Detection in Digital Social Networks Multilingual sexism identification using contrastive learning.,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:27:55.507420Z

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Observation 3d9b1c28-3666-4548-b271-ba52e072adf3 · outbound

This paper cites Hate speech detection via dual contrastive learning,.

An Adaptive Supervised Contrastive Learning Framework for Implicit Sexism Detection in Digital Social Networks Hate speech detection via dual contrastive learning,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:27:55.498944Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 6f23dc2f-be70-4db8-801f-3f3d0497b976 · outbound

This paper cites Kisanqrs: A deep learning- based automated query-response system for agricultural decision-making,.

An Adaptive Supervised Contrastive Learning Framework for Implicit Sexism Detection in Digital Social Networks Kisanqrs: A deep learning- based automated query-response system for agricultural decision-making,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:27:55.489168Z

Source-reported events for the cited work

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Observation 361be0cc-1841-4a53-9d0e-f2bbde62aa04 · outbound

This paper cites A hybrid filtering for micro-video hashtag recommen- dation using graph-based deep neural net- work,.

An Adaptive Supervised Contrastive Learning Framework for Implicit Sexism Detection in Digital Social Networks A hybrid filtering for micro-video hashtag recommen- dation using graph-based deep neural net- work,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:27:55.479350Z

Source-reported events for the cited work

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Observation 509df677-a1a5-4a91-85a2-ff93c69753ad · outbound

This paper cites Vader: A parsimo- nious rule-based model for sentiment analysis of social media text,.

An Adaptive Supervised Contrastive Learning Framework for Implicit Sexism Detection in Digital Social Networks Vader: A parsimo- nious rule-based model for sentiment analysis of social media text,

Reference 28

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Source-reported events for the cited work

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Observation d786e565-8b6f-4802-9951-cda1e0cf36d3 · outbound

This paper cites Crowd- sourcing a word–emotion association lexi- con,.

An Adaptive Supervised Contrastive Learning Framework for Implicit Sexism Detection in Digital Social Networks Crowd- sourcing a word–emotion association lexi- con,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:27:55.459283Z

Source-reported events for the cited work

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Observation d7800800-9a17-48ac-aa28-92cac6523cd6 · outbound

This paper cites Hierarchical attention net- works for document classification,.

An Adaptive Supervised Contrastive Learning Framework for Implicit Sexism Detection in Digital Social Networks Hierarchical attention net- works for document classification,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:27:55.449796Z

Source-reported events for the cited work

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Observation cc5b3d0d-5723-4ce3-9aea-6e465c1e93c4 · outbound

This paper cites Unsupervised Cross-lingual Representation Learning at Scale.

An Adaptive Supervised Contrastive Learning Framework for Implicit Sexism Detection in Digital Social Networks Unsupervised Cross-lingual Representation Learning at Scale

Reference 31

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Source-reported events for the cited work

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Observation 3efdffab-0a7a-4681-87ce-f71ae0ad8d0e · outbound

This paper cites Exploring the limits of transfer learning with a unified text-to-text transformer,.

An Adaptive Supervised Contrastive Learning Framework for Implicit Sexism Detection in Digital Social Networks Exploring the limits of transfer learning with a unified text-to-text transformer,

Reference 32

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Observation 9f0be9f8-5919-466e-a73f-5eccbef0dfcd · outbound

This paper cites The Llama 3 Herd of Models.

An Adaptive Supervised Contrastive Learning Framework for Implicit Sexism Detection in Digital Social Networks The Llama 3 Herd of Models

Reference 33

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This paper cites Bert-based ensemble learning for multi- aspect hate speech detection,.

An Adaptive Supervised Contrastive Learning Framework for Implicit Sexism Detection in Digital Social Networks Bert-based ensemble learning for multi- aspect hate speech detection,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:27:55.434374Z

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Observation 014322a8-4957-4bd4-af9b-aaf019622a44 · outbound

This paper cites Classifiers at exist 2023: detecting sexism in spanish and english tweets with xlm-t,.

An Adaptive Supervised Contrastive Learning Framework for Implicit Sexism Detection in Digital Social Networks Classifiers at exist 2023: detecting sexism in spanish and english tweets with xlm-t,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:27:55.424594Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 313b73bd-7a9f-4b22-92ad-236c6b90bc7f · outbound

This paper cites Roh neil@ exist2023: Detecting sexism in tweets using multilingual language models.,.

An Adaptive Supervised Contrastive Learning Framework for Implicit Sexism Detection in Digital Social Networks Roh neil@ exist2023: Detecting sexism in tweets using multilingual language models.,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:27:55.415708Z

Source-reported events for the cited work

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Observation b345caf2-74d2-4d19-8d1d-4712f6834c4a · outbound

This paper cites A hybrid deep bilstm-cnn for hate speech detection in multi-social media,.

An Adaptive Supervised Contrastive Learning Framework for Implicit Sexism Detection in Digital Social Networks A hybrid deep bilstm-cnn for hate speech detection in multi-social media,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:27:55.407194Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Pith citing papers

No inbound Pith citation observations are available.