Paper Citation Record · LEDGER

GLiREL -- Generalist Model for Zero-Shot Relation Extraction

As of 11 August 2026, this Paper Citation Record lists 43 of 43 outbound references and 3 inbound Pith citation observations for arXiv:2501.03172.

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

pith.paper-citation-record.v1
2501.03172 v1

Coverage vector

measured 43 of 43 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T21:56:31.756520Z

measured 46 of 46 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T12:58:59.762692Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T09:19:42.884818Z

Reference resolution

43 of 43 outbound references displayed

verified exact0
verified fuzzy19
unresolved21
parse uncertain0
malformed identifier0
metadata mismatch3

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation d34d1f3a-2aeb-4f3d-bb21-007c3392c432 · outbound

This paper cites Lifted Rule Injection for Relation Embeddings.

GLiREL -- Generalist Model for Zero-Shot Relation Extraction Lifted Rule Injection for Relation Embeddings

Reference 6

Resolution: metadata mismatch; local_arxiv, observed 2026-08-10T21:56:32.228517Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 1d06d293-7b59-4d8b-bb16-00dd047d46d0 · outbound

This paper cites Prompt-based Zero-shot Relation Extraction with Semantic Knowledge Augmentation.

GLiREL -- Generalist Model for Zero-Shot Relation Extraction Prompt-based Zero-shot Relation Extraction with Semantic Knowledge Augmentation

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-10T21:56:31.564811Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 822181b6-3341-4c4c-aa05-bcd5ed386e0d · outbound

This paper cites Mistral 7B.

GLiREL -- Generalist Model for Zero-Shot Relation Extraction Mistral 7B

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-10T21:56:31.584245Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 42ac8648-1cb4-4ac7-a661-237fe52ed2f7 · outbound

This paper cites In Proceedings of the 2024 Joint International Con- ference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING.

GLiREL -- Generalist Model for Zero-Shot Relation Extraction In Proceedings of the 2024 Joint International Con- ference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:56:32.601013Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation dc22f3d0-6d01-4365-a080-a75d50cd3f08 · outbound

This paper cites In 2023 In- ternational Joint Conference on Neural Networks (IJCNN), pages 1–8.

GLiREL -- Generalist Model for Zero-Shot Relation Extraction In 2023 In- ternational Joint Conference on Neural Networks (IJCNN), pages 1–8

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:56:32.584067Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 49cacce0-9628-4f31-b0a8-a4d26242b1ad · outbound

This paper cites Revisiting Large Language Models as Zero-shot Relation Extractors.

GLiREL -- Generalist Model for Zero-Shot Relation Extraction Revisiting Large Language Models as Zero-shot Relation Extractors

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-10T21:56:31.606057Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 33dda306-a778-4c2c-8dd5-1340d7b4fb34 · outbound

This paper cites In Findings of the Association for Computational Linguistics: ACL 2023, pages 5491–5505, Toronto, Canada.

GLiREL -- Generalist Model for Zero-Shot Relation Extraction In Findings of the Association for Computational Linguistics: ACL 2023, pages 5491–5505, Toronto, Canada

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:56:32.568028Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 70b727bd-74b4-4096-a9aa-c0509292c475 · outbound

This paper cites The FineWeb Datasets: Decanting the Web for the Finest Text Data at Scale.

GLiREL -- Generalist Model for Zero-Shot Relation Extraction The FineWeb Datasets: Decanting the Web for the Finest Text Data at Scale

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-10T21:56:31.616918Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0c52398b-552e-469b-86b6-50fbd7ce2a5f · outbound

This paper cites Revisiting Few-shot Relation Classification: Evaluation Data and Classification Schemes.

GLiREL -- Generalist Model for Zero-Shot Relation Extraction Revisiting Few-shot Relation Classification: Evaluation Data and Classification Schemes

Reference 19

Resolution: metadata mismatch; local_arxiv, observed 2026-08-10T21:56:32.018719Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 8a2785c8-e288-45db-9a50-528fb10f1bfd · outbound

This paper cites GoLLIE: Annotation Guidelines improve Zero-Shot Information-Extraction.

GLiREL -- Generalist Model for Zero-Shot Relation Extraction GoLLIE: Annotation Guidelines improve Zero-Shot Information-Extraction

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-10T21:56:31.634020Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d2e075e0-ff81-415f-9cc0-96432c4e057d · outbound

This paper cites In Proceedings of the 2021 Conference on Empirical Methods in Natural Lan- guage Processing, pages 1199–1212, Online and Punta Cana, Dominican Republic.

GLiREL -- Generalist Model for Zero-Shot Relation Extraction In Proceedings of the 2021 Conference on Empirical Methods in Natural Lan- guage Processing, pages 1199–1212, Online and Punta Cana, Dominican Republic

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:56:32.550542Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 2ab40a11-bac4-4d17-bc57-c1ebaf9ad614 · outbound

This paper cites In Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, pages 1784–1789, Copenhagen, Denmark.

GLiREL -- Generalist Model for Zero-Shot Relation Extraction In Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, pages 1784–1789, Copenhagen, Denmark

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:56:32.533637Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation bd80e271-47ad-4a90-99f4-56ce351c5e00 · outbound

This paper cites GLiNER multi-task: Generalist Lightweight Model for Various Information Extraction Tasks.

GLiREL -- Generalist Model for Zero-Shot Relation Extraction GLiNER multi-task: Generalist Lightweight Model for Various Information Extraction Tasks

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-10T21:56:31.650533Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8e8ce73d-7ab3-4602-ba36-9e2bf9890802 · outbound

This paper cites Consistency Guided Knowledge Retrieval and Denoising in LLMs for Zero-shot Document-level Relation Triplet Extraction.

GLiREL -- Generalist Model for Zero-Shot Relation Extraction Consistency Guided Knowledge Retrieval and Denoising in LLMs for Zero-shot Document-level Relation Triplet Extraction

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-10T21:56:31.655605Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5ef0936b-28d7-4f96-be8f-f609a0061be6 · outbound

This paper cites In Findings of the Association for Computational Lin- guistics: ACL 2022, pages 1672–1681, Dublin, Ire- land.

GLiREL -- Generalist Model for Zero-Shot Relation Extraction In Findings of the Association for Computational Lin- guistics: ACL 2022, pages 1672–1681, Dublin, Ire- land

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:56:32.516425Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 997ff3dd-da8f-41be-b889-496cf3c46822 · outbound

This paper cites Revisiting DocRED -- Addressing the False Negative Problem in Relation Extraction.

GLiREL -- Generalist Model for Zero-Shot Relation Extraction Revisiting DocRED -- Addressing the False Negative Problem in Relation Extraction

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-10T21:56:31.665731Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cf270658-654a-422e-a915-b58d828e9995 · outbound

This paper cites Attention Is All You Need.

GLiREL -- Generalist Model for Zero-Shot Relation Extraction Attention Is All You Need

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-10T21:56:31.675337Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1ebc61d9-8177-42ba-a87c-359c4197fab0 · outbound

This paper cites In Findings of the Association for Computational Lin- guistics: ACL 2022, pages 803–823, Dublin, Ireland.

GLiREL -- Generalist Model for Zero-Shot Relation Extraction In Findings of the Association for Computational Lin- guistics: ACL 2022, pages 803–823, Dublin, Ireland

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:56:32.497892Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation af7d336b-c7f4-489f-a1f4-37510b14e0fd · outbound

This paper cites How to Unleash the Power of Large Language Models for Few-shot Relation Extraction?.

GLiREL -- Generalist Model for Zero-Shot Relation Extraction How to Unleash the Power of Large Language Models for Few-shot Relation Extraction?

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-10T21:56:31.685996Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 73530406-633a-4b7d-862f-3d33112fbf6f · outbound

This paper cites AutoRE: Document-Level Relation Extraction with Large Language Models.

GLiREL -- Generalist Model for Zero-Shot Relation Extraction AutoRE: Document-Level Relation Extraction with Large Language Models

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-10T21:56:31.691403Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 29fe4a6b-83f3-4a24-8354-6a765b34d489 · outbound

This paper cites EnriCo: Enriched Representation and Globally Constrained Inference for Entity and Relation Extraction.

GLiREL -- Generalist Model for Zero-Shot Relation Extraction EnriCo: Enriched Representation and Globally Constrained Inference for Entity and Relation Extraction

Reference 32

Resolution: metadata mismatch; local_arxiv, observed 2026-08-10T21:56:31.846683Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 00b75714-43a1-4ecd-b89b-c3cf2d267395 · outbound

This paper cites GLiNER: Generalist Model for Named Entity Recognition using Bidirectional Transformer.

GLiREL -- Generalist Model for Zero-Shot Relation Extraction GLiNER: Generalist Model for Named Entity Recognition using Bidirectional Transformer

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-10T21:56:31.707435Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bc6f14a6-4494-4bf5-914c-2b9a88285a29 · outbound

This paper cites In Proceedings of the 2017 Conference on Empiri- cal Methods in Natural Language Processing, pages 35–45, Copenhagen, Denmark.

GLiREL -- Generalist Model for Zero-Shot Relation Extraction In Proceedings of the 2017 Conference on Empiri- cal Methods in Natural Language Processing, pages 35–45, Copenhagen, Denmark

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:56:32.454247Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 52c08c02-ca3c-4525-b122-39a07a325883 · outbound

This paper cites UniversalNER: Targeted Distillation from Large Language Models for Open Named Entity Recognition.

GLiREL -- Generalist Model for Zero-Shot Relation Extraction UniversalNER: Targeted Distillation from Large Language Models for Open Named Entity Recognition

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-10T21:56:31.718129Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3d49cace-f08d-4d6a-ae45-3ebf6b6093ed · outbound

This paper cites participation in.

GLiREL -- Generalist Model for Zero-Shot Relation Extraction participation in

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:56:32.417630Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 6669b202-7888-4ebe-9d03-d67275675bdf · outbound

This paper cites Malala Yousafzai, the youngest Nobel Peace Prize laureate, gave an inspiring speech at the United Nations. Later, Yousafzai met with Justin Trudeau to discuss education reform.

GLiREL -- Generalist Model for Zero-Shot Relation Extraction Malala Yousafzai, the youngest Nobel Peace Prize laureate, gave an inspiring speech at the United Nations. Later, Yousafzai met with Justin Trudeau to discuss education reform

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:56:32.375917Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 953d1480-acbf-4003-bb5d-842db5e0746a · outbound

This paper cites Ma et al.

GLiREL -- Generalist Model for Zero-Shot Relation Extraction Ma et al

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:56:32.358082Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 35188988-948f-444f-9870-df09747671cb · outbound

This paper cites (2022) 87.48 77.50 82.19 87.11 86.29 86.69 RelationPrompt NG (Chia et al.,.

GLiREL -- Generalist Model for Zero-Shot Relation Extraction (2022) 87.48 77.50 82.19 87.11 86.29 86.69 RelationPrompt NG (Chia et al.,

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:56:32.336233Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation d2253d19-8af4-456f-a22d-782c591c4fd7 · outbound

This paper cites (2022) 71.59 64.69 67.94 64.41 62.61 63.50 RelationPrompt NG (Chia et al.,.

GLiREL -- Generalist Model for Zero-Shot Relation Extraction (2022) 71.59 64.69 67.94 64.41 62.61 63.50 RelationPrompt NG (Chia et al.,

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:56:32.317337Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 138d130b-6c96-4202-8006-7120f471a677 · outbound

This paper cites (2022) 38.37 36.05 37.17 43.96 39.11 41.36 RelationPrompt NG (Chia et al.,.

GLiREL -- Generalist Model for Zero-Shot Relation Extraction (2022) 38.37 36.05 37.17 43.96 39.11 41.36 RelationPrompt NG (Chia et al.,

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:56:32.296341Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 94d2e45c-e87e-4853-9b66-823032e0decc · outbound

This paper cites All experiments were carried out using one NVIDIA Tesla T4 GPU.

GLiREL -- Generalist Model for Zero-Shot Relation Extraction All experiments were carried out using one NVIDIA Tesla T4 GPU

Reference 768

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:56:32.397257Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 5ebd3856-0bc7-46f7-bfcb-9781acf5de49 · outbound

This paper cites none-of-the-above.

GLiREL -- Generalist Model for Zero-Shot Relation Extraction none-of-the-above

Reference 2007

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:56:32.436365Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 78661830-b178-4e69-a210-707c31af2797 · outbound

This paper cites In Proceedings of the 2008 ACM SIGMOD International Conference on Management of Data, SIGMOD ’08, page 1247–1250, New York, NY , USA.

GLiREL -- Generalist Model for Zero-Shot Relation Extraction In Proceedings of the 2008 ACM SIGMOD International Conference on Management of Data, SIGMOD ’08, page 1247–1250, New York, NY , USA

Reference 2008

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:56:32.653909Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 0c785b6e-4397-44fa-9b40-ba008d0f1c73 · outbound

This paper cites Reasoning about Entailment with Neural Attention.

GLiREL -- Generalist Model for Zero-Shot Relation Extraction Reasoning about Entailment with Neural Attention

Reference 2013

Resolution: unresolved; no resolver link, observed 2026-08-10T21:56:31.622206Z

Source-reported events for the cited work

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Observation 398d64ca-a3a3-48c5-945c-7c0e39a7667b · outbound

This paper cites an unresolved cited work.

GLiREL -- Generalist Model for Zero-Shot Relation Extraction Unresolved cited work

Reference 2016

Resolution: unresolved; raw_fallback, observed 2026-08-10T21:56:32.670548Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 76ea886d-2bf7-44b8-9627-d6a12d2d76a9 · outbound

This paper cites Zero-Shot Relation Extraction via Reading Comprehension.

GLiREL -- Generalist Model for Zero-Shot Relation Extraction Zero-Shot Relation Extraction via Reading Comprehension

Reference 2017

Resolution: unresolved; no resolver link, observed 2026-08-10T21:56:31.601004Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 31ef4330-b3ef-426a-946f-de3e6960b8b3 · outbound

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

GLiREL -- Generalist Model for Zero-Shot Relation Extraction FewRel: A Large-Scale Supervised Few-Shot Relation Classification Dataset with State-of-the-Art Evaluation

Reference 2018

Resolution: unresolved; no resolver link, observed 2026-08-10T21:56:31.570576Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d7d4e593-246e-4dcf-9de9-11702a83eeeb · outbound

This paper cites an unresolved cited work.

GLiREL -- Generalist Model for Zero-Shot Relation Extraction Unresolved cited work

Reference 2019

Resolution: unresolved; raw_fallback, observed 2026-08-10T21:56:32.619826Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 538360bf-b109-416d-a93c-10960c205f96 · outbound

This paper cites In Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP), pages 7170–7186, Online.

GLiREL -- Generalist Model for Zero-Shot Relation Extraction In Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP), pages 7170–7186, Online

Reference 2020

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:56:32.475782Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 2253dead-1e4a-4191-9bf7-14e84b4f0e88 · outbound

This paper cites ZS-BERT: Towards Zero-Shot Relation Extraction with Attribute Representation Learning.

GLiREL -- Generalist Model for Zero-Shot Relation Extraction ZS-BERT: Towards Zero-Shot Relation Extraction with Attribute Representation Learning

Reference 2021

Resolution: unresolved; no resolver link, observed 2026-08-10T21:56:31.541832Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1a1686b4-fc8b-4804-b87a-2dd78e343e2d · outbound

This paper cites In Findings of the Association for Compu- tational Linguistics: ACL 2022, pages 45–57, Dublin, Ireland.

GLiREL -- Generalist Model for Zero-Shot Relation Extraction In Findings of the Association for Compu- tational Linguistics: ACL 2022, pages 45–57, Dublin, Ireland

Reference 2022

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:56:32.636142Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 3a55def9-e26d-414c-9482-131877f8b863 · outbound

This paper cites DeBERTaV3: Improving DeBERTa using ELECTRA-Style Pre-Training with Gradient-Disentangled Embedding Sharing.

GLiREL -- Generalist Model for Zero-Shot Relation Extraction DeBERTaV3: Improving DeBERTa using ELECTRA-Style Pre-Training with Gradient-Disentangled Embedding Sharing

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-10T21:56:31.576967Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d70124a5-5185-41ac-ae14-7ed7642fa877 · outbound

This paper cites NuNER: Entity Recognition Encoder Pre-training via LLM-Annotated Data.

GLiREL -- Generalist Model for Zero-Shot Relation Extraction NuNER: Entity Recognition Encoder Pre-training via LLM-Annotated Data

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-10T21:56:31.530005Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation 35d1ceea-8877-4a36-8da9-0572551761a1 · inbound

A Tale of LLMs and Induced Small Proxies: Scalable Small Language Models for Knowledge Mining cites this paper.

A Tale of LLMs and Induced Small Proxies: Scalable Small Language Models for Knowledge Mining GLiREL -- Generalist Model for Zero-Shot Relation Extraction

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-04T12:58:59.762692Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 18e3ae1d-28b8-4875-9cd2-60abd314dacf · inbound

Opir: Efficient Multi-Task Safety Classification for Toxicity, Jailbreaks, Hate Speech, and Harmful Content cites this paper.

Opir: Efficient Multi-Task Safety Classification for Toxicity, Jailbreaks, Hate Speech, and Harmful Content GLiREL -- Generalist Model for Zero-Shot Relation Extraction

Reference 4

Resolution: verified exact; arxiv_id, observed 2026-06-29T09:13:16.032684Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 0b9927dd-24bf-4943-95c1-3635f159e5a4 · inbound

Sub-Billion, Super-Frontier: Small Language Models Rival Zero-Shot Frontier LLMs on General and Literary Relation Extraction cites this paper.

Sub-Billion, Super-Frontier: Small Language Models Rival Zero-Shot Frontier LLMs on General and Literary Relation Extraction GLiREL -- Generalist Model for Zero-Shot Relation Extraction

Reference 208

Resolution: verified exact; arxiv_id, observed 2026-07-04T09:19:42.886390Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.