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Paper Citation Record · LEDGER

Large Language Models for Zero-Shot Multicultural Name Recognition

As of 7 August 2026, this Paper Citation Record lists 31 of 31 outbound references and 0 inbound Pith citation observations for arXiv:2507.04149.

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

pith.paper-citation-record.v1
2507.04149 v1

Coverage vector

measured 31 of 31 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T19:57:06.925118Z

measured 31 of 31 standing notices

One-hop event checks from named stored sources.

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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

31 of 31 outbound references displayed

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  • verified fuzzy9
  • unresolved13
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 3a384790-9cab-47d3-8949-fe0d45aec9ad · outbound

This paper cites Character level full convolution neural network for text classifi- cation,.

Large Language Models for Zero-Shot Multicultural Name Recognition Character level full convolution neural network for text classifi- cation,

Reference 2

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Observation f0751083-5955-426c-8927-a305948e840a · outbound

This paper cites Deep neural architectures for joint named entity recognition and disambiguation,.

Large Language Models for Zero-Shot Multicultural Name Recognition Deep neural architectures for joint named entity recognition and disambiguation,

Reference 3

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Observation 277a7e05-095d-4245-ad6c-a246cd2e2416 · outbound

This paper cites Crowdsourcing the character of a place: Character-level convolutional networks for multilingual geographic text classification,.

Large Language Models for Zero-Shot Multicultural Name Recognition Crowdsourcing the character of a place: Character-level convolutional networks for multilingual geographic text classification,

Reference 4

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verified exact
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Observation 6f74aeda-9fe1-4ded-b827-c981dcfd009f · outbound

This paper cites Cross- lingual name tagging and linking for 282 languages,.

Large Language Models for Zero-Shot Multicultural Name Recognition Cross- lingual name tagging and linking for 282 languages,

Reference 5

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Observation dd968a4e-ef7e-4865-8df6-94f548d4f6fe · outbound

This paper cites Liberating seen classes: Boosting few-shot and zero-shot text classification via anchor generation and classification reframing,.

Large Language Models for Zero-Shot Multicultural Name Recognition Liberating seen classes: Boosting few-shot and zero-shot text classification via anchor generation and classification reframing,

Reference 6

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Observation 0815de91-3ca7-4860-8882-b2bcf06d3abc · outbound

This paper cites Named entity recog- nition for code mixed social media sentences,.

Large Language Models for Zero-Shot Multicultural Name Recognition Named entity recog- nition for code mixed social media sentences,

Reference 7

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Observation b96b64e8-4d7b-458d-80e9-d95c6dcc184e · outbound

This paper cites Deep Learning for Multi-Label Learning: A Comprehensive Survey.

Large Language Models for Zero-Shot Multicultural Name Recognition Deep Learning for Multi-Label Learning: A Comprehensive Survey

Reference 8

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Observation 310d26fd-1201-4ee9-afcb-8747753c2824 · outbound

This paper cites Score: Story coherence and retrieval enhancement for ai narratives,.

Large Language Models for Zero-Shot Multicultural Name Recognition Score: Story coherence and retrieval enhancement for ai narratives,

Reference 9

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Source-reported events for the cited work

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Observation 09b30639-49a7-4f59-8395-ab3c5406eacd · outbound

This paper cites Divide-Then-Aggregate: An Efficient Tool Learning Method via Parallel Tool Invocation.

Large Language Models for Zero-Shot Multicultural Name Recognition Divide-Then-Aggregate: An Efficient Tool Learning Method via Parallel Tool Invocation

Reference 10

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Source-reported events for the cited work

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Observation 404d274d-55be-4a5d-b39c-a1badd3e746e · outbound

This paper cites Weak to strong generalization for large language models with multi-capabilities,.

Large Language Models for Zero-Shot Multicultural Name Recognition Weak to strong generalization for large language models with multi-capabilities,

Reference 11

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Observation 7ef36e56-3613-4c84-a90f-b0113ac932fa · outbound

This paper cites A survey of textual cyber abuse detection using cutting-edge language models and large language models.

Large Language Models for Zero-Shot Multicultural Name Recognition A survey of textual cyber abuse detection using cutting-edge language models and large language models

Reference 12

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Observation aa5dd92b-6c6d-4b3c-999d-96961c714f9d · outbound

This paper cites Large language models: a comprehensive survey of its applications, challenges, limitations, and future prospects,.

Large Language Models for Zero-Shot Multicultural Name Recognition Large language models: a comprehensive survey of its applications, challenges, limitations, and future prospects,

Reference 13

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Source-reported events for the cited work

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Observation 5173f272-3812-40fe-9dea-a54dfdc8456d · outbound

This paper cites MAM: Modular Multi-Agent Framework for Multi-Modal Medical Diagnosis via Role-Specialized Collaboration.

Large Language Models for Zero-Shot Multicultural Name Recognition MAM: Modular Multi-Agent Framework for Multi-Modal Medical Diagnosis via Role-Specialized Collaboration

Reference 14

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Observation 1b4a3214-8532-4834-a2af-0df80c8bf1e9 · outbound

This paper cites Large language models in medicine: Applications, challenges, and future directions,.

Large Language Models for Zero-Shot Multicultural Name Recognition Large language models in medicine: Applications, challenges, and future directions,

Reference 15

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Source-reported events for the cited work

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Observation 82da5a53-dfa8-47de-9ff8-b5e78ac120df · outbound

This paper cites Collaborative large language models for automated data extraction in living systematic reviews,.

Large Language Models for Zero-Shot Multicultural Name Recognition Collaborative large language models for automated data extraction in living systematic reviews,

Reference 16

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Source-reported events for the cited work

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Observation b1c02634-8209-430f-9147-1e99233f0677 · outbound

This paper cites Improving Medical Large Vision-Language Models with Abnormal-Aware Feedback.

Large Language Models for Zero-Shot Multicultural Name Recognition Improving Medical Large Vision-Language Models with Abnormal-Aware Feedback

Reference 17

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Observation 08203292-cda4-4212-95c5-4d4b88b51bc2 · outbound

This paper cites Enhancing Code LLMs with Reinforcement Learning in Code Generation: A Survey.

Large Language Models for Zero-Shot Multicultural Name Recognition Enhancing Code LLMs with Reinforcement Learning in Code Generation: A Survey

Reference 18

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Observation 9603bcd6-4bfb-4625-9543-c8d34410bcb3 · outbound

This paper cites Draw ALL Your Imagine: A Holistic Benchmark and Agent Framework for Complex Instruction-based Image Generation.

Large Language Models for Zero-Shot Multicultural Name Recognition Draw ALL Your Imagine: A Holistic Benchmark and Agent Framework for Complex Instruction-based Image Generation

Reference 19

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Observation deeac509-7e77-4f23-a5a2-83cd7cbeae31 · outbound

This paper cites Less is more: Vision representation compression for efficient video generation with large language models,.

Large Language Models for Zero-Shot Multicultural Name Recognition Less is more: Vision representation compression for efficient video generation with large language models,

Reference 20

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Observation 03a2ad56-db11-4eaa-8e58-71057333c5f7 · outbound

This paper cites VisLingInstruct: Elevating Zero-Shot Learning in Multi-Modal Language Models with Autonomous Instruction Optimization.

Large Language Models for Zero-Shot Multicultural Name Recognition VisLingInstruct: Elevating Zero-Shot Learning in Multi-Modal Language Models with Autonomous Instruction Optimization

Reference 21

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Observation 921563e3-ec8c-4ee2-9966-7bb002c4bed6 · outbound

This paper cites The Debate Over Understanding in AI's Large Language Models.

Large Language Models for Zero-Shot Multicultural Name Recognition The Debate Over Understanding in AI's Large Language Models

Reference 22

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Observation 419edbf4-527e-4277-9065-1fefbd1ada42 · outbound

This paper cites SDA: Simple Discrete Augmentation for Contrastive Sentence Representation Learning.

Large Language Models for Zero-Shot Multicultural Name Recognition SDA: Simple Discrete Augmentation for Contrastive Sentence Representation Learning

Reference 23

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Observation c35b1f3b-b67f-4ca8-92d1-c27fc3f54e20 · outbound

This paper cites A recent survey of arabic named entity recognition on social media,.

Large Language Models for Zero-Shot Multicultural Name Recognition A recent survey of arabic named entity recognition on social media,

Reference 24

Resolution
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Source-reported events for the cited work

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Observation 4c8a833d-ddea-48f4-8f02-92eadc698966 · outbound

This paper cites An overview of named entity recognition,.

Large Language Models for Zero-Shot Multicultural Name Recognition An overview of named entity recognition,

Reference 25

Resolution
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Source-reported events for the cited work

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Observation 84ab4671-8fce-4992-9423-ac9f0a535a24 · outbound

This paper cites Named entity recognition with bidirectional lstm-cnns,.

Large Language Models for Zero-Shot Multicultural Name Recognition Named entity recognition with bidirectional lstm-cnns,

Reference 26

Resolution
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Observation a965f5c4-f71b-4769-9f31-225666ba3a6f · outbound

This paper cites Character level and word level embedding with bidirectional lstm–dynamic recurrent neural net- work for biomedical named entity recognition from literature,.

Large Language Models for Zero-Shot Multicultural Name Recognition Character level and word level embedding with bidirectional lstm–dynamic recurrent neural net- work for biomedical named entity recognition from literature,

Reference 27

Resolution
verified fuzzy
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Source-reported events for the cited work

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Observation 73a745cc-54a0-4396-8261-25ad698c08f1 · outbound

This paper cites Combining named entity recognition and emotion analysis of tweets for early warning of violent actions,.

Large Language Models for Zero-Shot Multicultural Name Recognition Combining named entity recognition and emotion analysis of tweets for early warning of violent actions,

Reference 28

Resolution
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Source-reported events for the cited work

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Observation dc973c8d-a73b-4070-a338-b0ed7108dd64 · outbound

This paper cites Style-aware contrastive learning for multi-style image captioning,.

Large Language Models for Zero-Shot Multicultural Name Recognition Style-aware contrastive learning for multi-style image captioning,

Reference 29

Resolution
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Source-reported events for the cited work

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Observation 906e2604-e85b-477d-a07e-d3a3fbf4ee53 · outbound

This paper cites Stock market prediction with new generation deep contextualized word representations and deep learning models using user sentiments,.

Large Language Models for Zero-Shot Multicultural Name Recognition Stock market prediction with new generation deep contextualized word representations and deep learning models using user sentiments,

Reference 30

Resolution
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Source-reported events for the cited work

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Observation f4d0e4a5-a36b-44de-8f7c-b6a6b73e2aff · outbound

This paper cites Improving cross-modal alignment for text- guided image inpainting,.

Large Language Models for Zero-Shot Multicultural Name Recognition Improving cross-modal alignment for text- guided image inpainting,

Reference 31

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Source-reported events for the cited work

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Observation 739cd7b5-bb74-40fa-8dbf-df71e5e5ca8f · outbound

This paper cites Deep Learning for Multi-Label Learning: A Comprehensive Survey.

Large Language Models for Zero-Shot Multicultural Name Recognition Deep Learning for Multi-Label Learning: A Comprehensive Survey

Reference 2024

Resolution
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Pith citing papers

No inbound Pith citation observations are available.