Paper Citation Record · LEDGER

Few-shot Hate Speech Detection Based on the MindSpore Framework

As of 17 August 2026, this Paper Citation Record lists 25 of 25 outbound references and 1 inbound Pith citation observation for arXiv:2504.15987.

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

pith.paper-citation-record.v1
2504.15987 v1

Coverage vector

measured 25 of 25 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T11:16:08.309635Z

measured 26 of 26 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:42:39.298883Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: pith, observed 2026-08-07T15:42:39.492100Z

Reference resolution

25 of 25 outbound references displayed

verified exact0
verified fuzzy13
unresolved12
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 229c203a-bc9b-4f56-8941-1e01f79ecb66 · outbound

This paper cites A survey on hate speech detection using natural language processing.

Few-shot Hate Speech Detection Based on the MindSpore Framework A survey on hate speech detection using natural language processing

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:16:08.610675Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation ce7b50ec-f5ef-47fa-97a6-0ae7d602e76c · outbound

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

Few-shot Hate Speech Detection Based on the MindSpore Framework Detecting hate speech on twitter using a convolution-gru based deep neural network

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:16:08.598923Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 7dcc1541-e6ce-47ce-816a-b9812714431b · outbound

This paper cites Hate speech detection: Challenges and solutions.

Few-shot Hate Speech Detection Based on the MindSpore Framework Hate speech detection: Challenges and solutions

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:16:08.586388Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 2f7c48c3-efc8-4847-91ad-3578666c6807 · outbound

This paper cites A multi-task learning approach to hate speech detection leveraging sentiment analysis.

Few-shot Hate Speech Detection Based on the MindSpore Framework A multi-task learning approach to hate speech detection leveraging sentiment analysis

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:16:08.574248Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation b9a67b8a-5ab8-4da3-9807-15f6266c0f9a · outbound

This paper cites Using convolutional neural networks to classify hate-speech.

Few-shot Hate Speech Detection Based on the MindSpore Framework Using convolutional neural networks to classify hate-speech

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:16:08.562322Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation c11f6945-ac39-43cf-8537-219bba23ca14 · outbound

This paper cites Offensive language identification with multi-task learning.

Few-shot Hate Speech Detection Based on the MindSpore Framework Offensive language identification with multi-task learning

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-16T11:16:08.233616Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 97592ee4-d3e6-42aa-a0ac-eb375bdebb88 · outbound

This paper cites Un-compromised credibility: Social media based multi-class hate speech classification for text.

Few-shot Hate Speech Detection Based on the MindSpore Framework Un-compromised credibility: Social media based multi-class hate speech classification for text

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:16:08.541707Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation b20a5f11-1d48-420a-abad-dc74764fbda2 · outbound

This paper cites On episodes, prototypical networks, and few-shot learning.

Few-shot Hate Speech Detection Based on the MindSpore Framework On episodes, prototypical networks, and few-shot learning

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:16:08.529732Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 5c09c744-cbc4-4a49-aaca-83eea13b6698 · outbound

This paper cites Model-agnostic meta-learning for fast adaptation of deep networks.

Few-shot Hate Speech Detection Based on the MindSpore Framework Model-agnostic meta-learning for fast adaptation of deep networks

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-16T11:16:08.244837Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e62b0fc5-295c-4b0c-8158-56a5b974a403 · outbound

This paper cites FewRel: A Large-Scale Supervised Few-Shot Relation Classification Dataset with State-of-the-Art Evaluation.

Few-shot Hate Speech Detection Based on the MindSpore Framework FewRel: A Large-Scale Supervised Few-Shot Relation Classification Dataset with State-of-the-Art Evaluation

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-16T11:16:08.248228Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3b1a13d0-7607-49a4-9488-c2784eadbbcf · outbound

This paper cites Meta-Learning without Memorization.

Few-shot Hate Speech Detection Based on the MindSpore Framework Meta-Learning without Memorization

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-16T11:16:08.252255Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c00cc18e-c3e7-404e-ae15-8e2c871d0ba5 · outbound

This paper cites Flex: Unifying evaluation for few-shot nlp.

Few-shot Hate Speech Detection Based on the MindSpore Framework Flex: Unifying evaluation for few-shot nlp

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:16:08.509445Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 7c2adecc-fe2e-419e-a606-c3eb0afd6424 · outbound

This paper cites Making Pre-trained Language Models Better Few-shot Learners.

Few-shot Hate Speech Detection Based on the MindSpore Framework Making Pre-trained Language Models Better Few-shot Learners

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-16T11:16:08.260403Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e19b5a15-86d5-468d-bcce-826376eba77a · outbound

This paper cites Pre-train, prompt, and predict: A systematic survey of prompting methods in natural language processing.

Few-shot Hate Speech Detection Based on the MindSpore Framework Pre-train, prompt, and predict: A systematic survey of prompting methods in natural language processing

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-16T11:16:08.265564Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b66d6bf3-b528-4e36-bfef-1187b446ff39 · outbound

This paper cites The Power of Scale for Parameter-Efficient Prompt Tuning.

Few-shot Hate Speech Detection Based on the MindSpore Framework The Power of Scale for Parameter-Efficient Prompt Tuning

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-16T11:16:08.269484Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6e4a18f3-c360-4f16-93a3-4ab21c2ed83b · outbound

This paper cites Prefix-Tuning: Optimizing Continuous Prompts for Generation.

Few-shot Hate Speech Detection Based on the MindSpore Framework Prefix-Tuning: Optimizing Continuous Prompts for Generation

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-16T11:16:08.273680Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 33efb076-d1e7-48be-94b8-502845e0eedb · outbound

This paper cites Finetuned Language Models Are Zero-Shot Learners.

Few-shot Hate Speech Detection Based on the MindSpore Framework Finetuned Language Models Are Zero-Shot Learners

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-16T11:16:08.277717Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 23f72467-3f3c-417d-8b4b-072e4b087e60 · outbound

This paper cites Toxicity Detection with Generative Prompt-based Inference.

Few-shot Hate Speech Detection Based on the MindSpore Framework Toxicity Detection with Generative Prompt-based Inference

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-16T11:16:08.282681Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c6a31c0e-2fcb-490b-8689-b205f57b4e9b · outbound

This paper cites Study on mindspore deep learning framework.

Few-shot Hate Speech Detection Based on the MindSpore Framework Study on mindspore deep learning framework

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-16T11:16:08.286492Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fb0780d0-c175-4219-98d2-32656e10a2d0 · outbound

This paper cites Harmful prompt classification for large language models.

Few-shot Hate Speech Detection Based on the MindSpore Framework Harmful prompt classification for large language models

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-16T11:16:08.290423Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 15df58e4-04f5-4972-a514-0206341f7e22 · outbound

This paper cites Battling cultural bias within hate speech detection: An experimental correlation analysis.

Few-shot Hate Speech Detection Based on the MindSpore Framework Battling cultural bias within hate speech detection: An experimental correlation analysis

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:16:08.471215Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 190a9689-1d50-4214-9ddd-845a27932c65 · outbound

This paper cites Semantic safeguards: Harnessing bert and advanced deep learning models outperforming in the detection of hate speech on social networks.

Few-shot Hate Speech Detection Based on the MindSpore Framework Semantic safeguards: Harnessing bert and advanced deep learning models outperforming in the detection of hate speech on social networks

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:16:08.459352Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation b7965d7e-48df-42f0-a7d5-5b7146268247 · outbound

This paper cites Huawei Technologies Co.

Few-shot Hate Speech Detection Based on the MindSpore Framework Huawei Technologies Co

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:16:08.447670Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation c6136c53-722a-41b3-b05a-6f6ce143c7d8 · outbound

This paper cites Enhancing zero-shot crypto sentiment with fine-tuned language model and prompt engineering.

Few-shot Hate Speech Detection Based on the MindSpore Framework Enhancing zero-shot crypto sentiment with fine-tuned language model and prompt engineering

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:16:08.436216Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 7202b719-66bd-43f1-b422-48a2762ab772 · outbound

This paper cites Harnessing large language models’ zero-shot and few-shot learning capabilities for regulatory research.

Few-shot Hate Speech Detection Based on the MindSpore Framework Harnessing large language models’ zero-shot and few-shot learning capabilities for regulatory research

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:16:08.423273Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Pith citing papers

Observation 17c64405-a28f-4bf9-972d-943cd88b5aab · inbound

PL-FGSA: A Prompt Learning Framework for Fine-Grained Sentiment Analysis Based on MindSpore cites this paper.

PL-FGSA: A Prompt Learning Framework for Fine-Grained Sentiment Analysis Based on MindSpore Few-shot Hate Speech Detection Based on the MindSpore Framework

Reference 15

Resolution: verified exact; local_arxiv, observed 2026-08-07T15:42:39.577377Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.