Paper Citation Record · LEDGER

From BERT to Qwen: Hate Detection across architectures

As of 22 August 2026, this Paper Citation Record lists 18 of 18 outbound references and 0 inbound Pith citation observations for arXiv:2507.10468.

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

pith.paper-citation-record.v1
2507.10468 v1

Coverage vector

measured 18 of 18 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T17:33:56.379390Z

measured 18 of 18 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

18 of 18 outbound references displayed

verified exact1
verified fuzzy12
unresolved5
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 3d3b8bfb-9f74-42ff-bde5-6939e56bcd7a · outbound

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

From BERT to Qwen: Hate Detection across architectures BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-06T17:33:55.944597Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 731d1cb5-874b-4344-b873-73cb54cc96bb · outbound

This paper cites Detection of Hate Speech using BERT and Hate Speech Word Embedding with Deep Model.

From BERT to Qwen: Hate Detection across architectures Detection of Hate Speech using BERT and Hate Speech Word Embedding with Deep Model

Reference 2

Resolution: verified exact; local_arxiv, observed 2026-08-06T17:33:56.432250Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 92dffcfb-287f-4776-a7e9-be89a5cd5b6f · outbound

This paper cites Fine-tuning bert for sentiment analysis: A practical guide.

From BERT to Qwen: Hate Detection across architectures Fine-tuning bert for sentiment analysis: A practical guide

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:33:56.579649Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation f0e07c64-3498-4df5-af2c-20235d05e708 · outbound

This paper cites Language models are few-shot learn- ers,.

From BERT to Qwen: Hate Detection across architectures Language models are few-shot learn- ers,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:33:56.569410Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 19cb86e4-140a-46b4-99ae-86882615cbc8 · outbound

This paper cites A cu- rated hate speech dataset (version 1),.

From BERT to Qwen: Hate Detection across architectures A cu- rated hate speech dataset (version 1),

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:33:56.558869Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 9894e866-68e0-4d73-a619-ce6b5ce7ea24 · outbound

This paper cites Challenges and limitations of zero-shot and few-shot learning in large language models,.

From BERT to Qwen: Hate Detection across architectures Challenges and limitations of zero-shot and few-shot learning in large language models,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:33:56.548219Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation c4d6469b-a3ba-4740-9145-3f57c0d0646d · outbound

This paper cites Hatespeechbert: Retraining bert for automatic hate speechdetection,.

From BERT to Qwen: Hate Detection across architectures Hatespeechbert: Retraining bert for automatic hate speechdetection,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:33:56.536722Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation f1c6af17-6c1d-4e5b-b9ac-f64240fe6436 · outbound

This paper cites Now you see me: Vision-enhanced bert for obfuscated text abuse detection,.

From BERT to Qwen: Hate Detection across architectures Now you see me: Vision-enhanced bert for obfuscated text abuse detection,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:33:56.526570Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 92d8ecb6-d8f6-48b5-930a-0c20c72b360d · outbound

This paper cites Metahate: A dataset for unifying efforts on hate speech detection,.

From BERT to Qwen: Hate Detection across architectures Metahate: A dataset for unifying efforts on hate speech detection,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:33:56.516157Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation bbd2e175-a921-4517-a48c-d2542fdc1529 · outbound

This paper cites Efficient hate speech detection: Evaluating 38 models from traditional methods to transformers,.

From BERT to Qwen: Hate Detection across architectures Efficient hate speech detection: Evaluating 38 models from traditional methods to transformers,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:33:56.506115Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 2fcd7cc6-4c5f-4bf0-b8d5-73bad59fb1cf · outbound

This paper cites Enhancing hate speech detection in the digital age: A novel model fusion approach leveraging a comprehensive dataset,.

From BERT to Qwen: Hate Detection across architectures Enhancing hate speech detection in the digital age: A novel model fusion approach leveraging a comprehensive dataset,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:33:56.496021Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation ba635ee2-c3ae-48dd-b348-c41841d0acfb · outbound

This paper cites Attention is all you need,.

From BERT to Qwen: Hate Detection across architectures Attention is all you need,

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-06T17:33:56.361824Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9819cf4e-041f-4968-8b9c-442b2ccb65af · outbound

This paper cites DistilBERT-base-uncased.

From BERT to Qwen: Hate Detection across architectures DistilBERT-base-uncased

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:33:56.481022Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 01649df0-b01a-4925-a9c2-93089775e26c · outbound

This paper cites Twitter-RoBERTa-base-offensive.

From BERT to Qwen: Hate Detection across architectures Twitter-RoBERTa-base-offensive

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:33:56.470915Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 975ff96f-38ff-4e38-9d79-c9920b876e7d · outbound

This paper cites Xlnet: Generalized autoregressive pretraining for language understanding,.

From BERT to Qwen: Hate Detection across architectures Xlnet: Generalized autoregressive pretraining for language understanding,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:33:56.461034Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 1f491ab7-5eba-401a-8026-fd16c5e08dad · outbound

This paper cites TweetEval: Unified Benchmark and Comparative Evaluation for Tweet Classification.

From BERT to Qwen: Hate Detection across architectures TweetEval: Unified Benchmark and Comparative Evaluation for Tweet Classification

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-06T17:33:56.373044Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 341ccd1a-4c22-414c-b4ed-17add0818caa · outbound

This paper cites Gemma 3,.

From BERT to Qwen: Hate Detection across architectures Gemma 3,

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-06T17:33:56.376411Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8cbf9993-1829-490f-bc38-c9843352fcd3 · outbound

This paper cites Qwen Technical Report.

From BERT to Qwen: Hate Detection across architectures Qwen Technical Report

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-06T17:33:56.379390Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.