Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-06T21:24:43.789479Z
Paper Citation Record · LEDGER
Modeling Data Diversity for Joint Instance and Verbalizer Selection in Cold-Start Scenarios
As of 12 August 2026, this Paper Citation Record lists 42 of 42 outbound references and 0 inbound Pith citation observations for arXiv:2507.00330.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
42 of 42 outbound references displayed
- verified exact0
- verified fuzzy36
- unresolved6
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 80469a62-fb99-4389-ac7a-1990fcdcd026 · outbound
This paper cites GPT-4 Technical Report.
Modeling Data Diversity for Joint Instance and Verbalizer Selection in Cold-Start Scenarios GPT-4 Technical Report
Reference 1
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T21:24:42.612087Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 55b8c9a6-acae-4dfb-88ae-39c028764584 · outbound
This paper cites In: Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining.
Modeling Data Diversity for Joint Instance and Verbalizer Selection in Cold-Start Scenarios In: Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining
Reference 2
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T21:24:42.706422Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f10f5a55-e464-480c-b960-7a4acb09cf97 · outbound
This paper cites In: Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (V olume 1: Long Papers).
Modeling Data Diversity for Joint Instance and Verbalizer Selection in Cold-Start Scenarios In: Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (V olume 1: Long Papers)
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T21:24:44.280864Z
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 ebc5e23f-bad2-44e4-84be-84de56a96528 · outbound
This paper cites In: Proceedings of the 59th Annual Meeting of the ACL and the 11th IJCNLP (V olume 2: Short Papers).
Modeling Data Diversity for Joint Instance and Verbalizer Selection in Cold-Start Scenarios In: Proceedings of the 59th Annual Meeting of the ACL and the 11th IJCNLP (V olume 2: Short Papers)
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T21:24:44.272860Z
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 070fd984-f0eb-45b6-b923-1b98dc44be1d · outbound
This paper cites In: Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (V olume 1: Long Papers).
Modeling Data Diversity for Joint Instance and Verbalizer Selection in Cold-Start Scenarios In: Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (V olume 1: Long Papers)
Reference 5
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T21:24:44.264679Z
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 b3831cdd-c5f2-49f0-947f-639740f415f9 · outbound
This paper cites In: Proceedings of the 59th Annual Meeting of the ACL and the 11th IJCNLP (V olume 1: Long Papers).
Modeling Data Diversity for Joint Instance and Verbalizer Selection in Cold-Start Scenarios In: Proceedings of the 59th Annual Meeting of the ACL and the 11th IJCNLP (V olume 1: Long Papers)
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T21:24:44.255761Z
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 557c61dc-a602-452f-9969-3b3282dbfa34 · outbound
This paper cites In: International Conference on Machine Learning.
Modeling Data Diversity for Joint Instance and Verbalizer Selection in Cold-Start Scenarios In: International Conference on Machine Learning
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T21:24:44.247883Z
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 33cd101c-04e6-4c16-b2fd-c01390ce1813 · outbound
This paper cites In: Proceedings of the 59th Annual Meeting of the ACL and the 11th IJCNLP (V olume 1: Long Papers).
Modeling Data Diversity for Joint Instance and Verbalizer Selection in Cold-Start Scenarios In: Proceedings of the 59th Annual Meeting of the ACL and the 11th IJCNLP (V olume 1: Long Papers)
Reference 8
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T21:24:44.240227Z
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 c10f4ff6-ca46-4456-9b38-2fc443c38188 · outbound
This paper cites In: Proceedings of the tenth ACM SIGKDD international conference on Knowledge discovery and data mining.
Modeling Data Diversity for Joint Instance and Verbalizer Selection in Cold-Start Scenarios In: Proceedings of the tenth ACM SIGKDD international conference on Knowledge discovery and data mining
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T21:24:44.232022Z
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 2bb08e25-0036-409d-8078-ae84973132ec · outbound
This paper cites In: Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (V olume 1: Long Papers).
Modeling Data Diversity for Joint Instance and Verbalizer Selection in Cold-Start Scenarios In: Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (V olume 1: Long Papers)
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T21:24:44.224346Z
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 1c56c79c-9ffb-40e1-a001-7f4ddbeb1011 · outbound
This paper cites In: Evans, R.J., Shpitser, I.
Modeling Data Diversity for Joint Instance and Verbalizer Selection in Cold-Start Scenarios In: Evans, R.J., Shpitser, I
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T21:24:44.216492Z
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 8cbc6c5b-2dd6-42b5-a76b-fe9a86dc459d · outbound
This paper cites In: Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing.
Modeling Data Diversity for Joint Instance and Verbalizer Selection in Cold-Start Scenarios In: Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T21:24:44.209010Z
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 aa156a02-c4a7-411f-9cdb-d908480c2559 · outbound
This paper cites In: Proceedings of the 17th annual international ACM SIGIR conference on Research and development in information retrieval.
Modeling Data Diversity for Joint Instance and Verbalizer Selection in Cold-Start Scenarios In: Proceedings of the 17th annual international ACM SIGIR conference on Research and development in information retrieval
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T21:24:44.201681Z
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 6cd4964a-fd34-4f8f-9de1-6cb6c6dd13b7 · outbound
This paper cites In: Proceedings of the 59th Annual Meeting of the ACL and the 11th IJCNLP (V olume 1: Long Papers).
Modeling Data Diversity for Joint Instance and Verbalizer Selection in Cold-Start Scenarios In: Proceedings of the 59th Annual Meeting of the ACL and the 11th IJCNLP (V olume 1: Long Papers)
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T21:24:44.194263Z
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 0d8a5a39-c720-4e3a-ac51-a4f863c6af5a · outbound
This paper cites In: CCF International Conference on Natural Language Processing and Chinese Computing.
Modeling Data Diversity for Joint Instance and Verbalizer Selection in Cold-Start Scenarios In: CCF International Conference on Natural Language Processing and Chinese Computing
Reference 15
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T21:24:44.187282Z
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 82e3bf38-08bd-4e1c-8a78-f98588ad262e · outbound
This paper cites an unresolved cited work.
Modeling Data Diversity for Joint Instance and Verbalizer Selection in Cold-Start Scenarios Unresolved cited work
Reference 16
- Resolution
- unresolved
- raw_fallback, observed 2026-08-06T21:24:44.180095Z
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 977d9a90-a671-4b86-b8ff-b447b2e05be6 · outbound
This paper cites AI Open (2023).
Modeling Data Diversity for Joint Instance and Verbalizer Selection in Cold-Start Scenarios AI Open (2023)
Reference 17
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T21:24:44.172582Z
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 9502abbe-625c-4b22-9057-c73b4428c6b4 · outbound
This paper cites RoBERTa: A Robustly Optimized BERT Pretraining Approach.
Modeling Data Diversity for Joint Instance and Verbalizer Selection in Cold-Start Scenarios RoBERTa: A Robustly Optimized BERT Pretraining Approach
Reference 18
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T21:24:43.723639Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d49d6d1b-5e72-46aa-9ee9-be8f186dce79 · outbound
This paper cites In: Proceedings of the 49th annual meeting of the association for computational linguistics: Human language technologies.
Modeling Data Diversity for Joint Instance and Verbalizer Selection in Cold-Start Scenarios In: Proceedings of the 49th annual meeting of the association for computational linguistics: Human language technologies
Reference 19
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T21:24:44.165372Z
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 9d7467c3-b797-44ea-a99b-ddff7dcdde4a · outbound
This paper cites In: Proceedings of 5-th Berkeley Symposium on Mathematical Statistics and Probability/University of California Press (1967).
Modeling Data Diversity for Joint Instance and Verbalizer Selection in Cold-Start Scenarios In: Proceedings of 5-th Berkeley Symposium on Mathematical Statistics and Probability/University of California Press (1967)
Reference 20
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T21:24:44.157781Z
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 6c502f34-9a25-4c3f-b125-905afd64e7ee · outbound
This paper cites In: Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing.
Modeling Data Diversity for Joint Instance and Verbalizer Selection in Cold-Start Scenarios In: Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
Reference 21
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T21:24:44.150418Z
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 1a732d5c-a0e9-4727-914c-8d16be17703f · outbound
This paper cites In: Proceedings of the AAAI conference on artificial intelligence.
Modeling Data Diversity for Joint Instance and Verbalizer Selection in Cold-Start Scenarios In: Proceedings of the AAAI conference on artificial intelligence
Reference 22
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T21:24:44.142819Z
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 d17f1e6c-298d-425e-a302-e9aa1085bb59 · outbound
This paper cites In: International Conference on Applications of Natural Language to Information Systems.
Modeling Data Diversity for Joint Instance and Verbalizer Selection in Cold-Start Scenarios In: International Conference on Applications of Natural Language to Information Systems
Reference 23
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T21:24:44.135527Z
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 f5c4a7c7-1074-4180-8c70-58b6468bb371 · outbound
This paper cites In: Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP), 2002 (2002).
Modeling Data Diversity for Joint Instance and Verbalizer Selection in Cold-Start Scenarios In: Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP), 2002 (2002)
Reference 24
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T21:24:44.127666Z
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 b20aeed9-430e-4d9e-b581-8454cef22fbd · outbound
This paper cites In: Proceedings of the 42nd Meeting of the Association for Computational Linguistics (ACL), 2004 (2004).
Modeling Data Diversity for Joint Instance and Verbalizer Selection in Cold-Start Scenarios In: Proceedings of the 42nd Meeting of the Association for Computational Linguistics (ACL), 2004 (2004)
Reference 25
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T21:24:44.120454Z
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 e4f2f66c-b7af-4ad8-ac60-30fef2f4091e · outbound
This paper cites Journal of computational and applied mathematics 20, 53–65 (1987).
Modeling Data Diversity for Joint Instance and Verbalizer Selection in Cold-Start Scenarios Journal of computational and applied mathematics 20, 53–65 (1987)
Reference 26
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T21:24:44.112642Z
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 4585ed00-1f0f-40f3-8bd2-16e058117f49 · outbound
This paper cites In: Proceedings of the 28th International Conference on Computational Linguistics.
Modeling Data Diversity for Joint Instance and Verbalizer Selection in Cold-Start Scenarios In: Proceedings of the 28th International Conference on Computational Linguistics
Reference 27
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T21:24:44.104963Z
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 7fdcd8b7-9c82-476a-a699-844da9af3e3a · outbound
This paper cites In: Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main V olume.
Modeling Data Diversity for Joint Instance and Verbalizer Selection in Cold-Start Scenarios In: Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main V olume
Reference 28
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T21:24:44.097649Z
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 aaea31a2-3678-43d2-94e2-f8006c7dd581 · outbound
This paper cites In: Proceedings of the 2021 NAACL-HLT.
Modeling Data Diversity for Joint Instance and Verbalizer Selection in Cold-Start Scenarios In: Proceedings of the 2021 NAACL-HLT
Reference 29
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T21:24:44.090074Z
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 31a4f0ca-6a78-4327-a6d8-753b83fe5239 · outbound
This paper cites In: Findings of the ACL: ACL 2022.
Modeling Data Diversity for Joint Instance and Verbalizer Selection in Cold-Start Scenarios In: Findings of the ACL: ACL 2022
Reference 30
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T21:24:44.082749Z
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 bbfd0bfe-6325-4040-8583-72f18e574a1f · outbound
This paper cites In: International Conference on Learning Representations (2018).
Modeling Data Diversity for Joint Instance and Verbalizer Selection in Cold-Start Scenarios In: International Conference on Learning Representations (2018)
Reference 31
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T21:24:44.075061Z
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 f18fbc1b-327b-492d-b08b-3f823b879069 · outbound
This paper cites In: Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP).
Modeling Data Diversity for Joint Instance and Verbalizer Selection in Cold-Start Scenarios In: Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)
Reference 32
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T21:24:44.066991Z
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 b07734c6-f1e2-434c-aeda-6c8cf9ec99cf · outbound
This paper cites In: Proceedings of the 2013 conference on empirical methods in natural language processing.
Modeling Data Diversity for Joint Instance and Verbalizer Selection in Cold-Start Scenarios In: Proceedings of the 2013 conference on empirical methods in natural language processing
Reference 33
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T21:24:44.059460Z
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 2ea6d7f7-9ec2-42de-b104-a8576be57fc4 · outbound
This paper cites Selective Annotation Makes Language Models Better Few-Shot Learners.
Modeling Data Diversity for Joint Instance and Verbalizer Selection in Cold-Start Scenarios Selective Annotation Makes Language Models Better Few-Shot Learners
Reference 34
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T21:24:43.767154Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6ecec2eb-9897-49a9-8ccc-5a16c0bdb7b1 · outbound
This paper cites In: Proceedings of the 29th International Conference on Computational Linguistics.
Modeling Data Diversity for Joint Instance and Verbalizer Selection in Cold-Start Scenarios In: Proceedings of the 29th International Conference on Computational Linguistics
Reference 35
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T21:24:44.051653Z
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 6687e28d-3d55-4f0c-a61b-61070aaa6f89 · outbound
This paper cites In: Proceedings of the AAAI Conference on Artificial Intelligence.
Modeling Data Diversity for Joint Instance and Verbalizer Selection in Cold-Start Scenarios In: Proceedings of the AAAI Conference on Artificial Intelligence
Reference 36
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T21:24:44.043207Z
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 4262c2b4-988c-4295-84cb-5a5f1d39e4de · outbound
This paper cites Transactions of the Association for Computational Linguistics 7, 625–641 (2019).
Modeling Data Diversity for Joint Instance and Verbalizer Selection in Cold-Start Scenarios Transactions of the Association for Computational Linguistics 7, 625–641 (2019)
Reference 37
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T21:24:44.033439Z
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 f45f38aa-120c-4d56-9165-9ab4c5d5dacd · outbound
This paper cites Chemometrics and intelligent laboratory systems 2(1-3), 37–52 (1987).
Modeling Data Diversity for Joint Instance and Verbalizer Selection in Cold-Start Scenarios Chemometrics and intelligent laboratory systems 2(1-3), 37–52 (1987)
Reference 38
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T21:24:44.025543Z
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 c40db833-dfc8-4627-ad06-bd84d8d11265 · outbound
This paper cites In: Proceedings of the 61st Annual Meeting of the ACL (V olume 1: Long Papers).
Modeling Data Diversity for Joint Instance and Verbalizer Selection in Cold-Start Scenarios In: Proceedings of the 61st Annual Meeting of the ACL (V olume 1: Long Papers)
Reference 39
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T21:24:44.017162Z
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 25ca4ccd-49ee-4bff-9ce4-8d47b01beded · outbound
This paper cites In: Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP).
Modeling Data Diversity for Joint Instance and Verbalizer Selection in Cold-Start Scenarios In: Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)
Reference 40
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T21:24:44.008358Z
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 026147df-6bb0-4391-a5ed-5b1eedb7333f · outbound
This paper cites In: International Conference on Learning Representations.
Modeling Data Diversity for Joint Instance and Verbalizer Selection in Cold-Start Scenarios In: International Conference on Learning Representations
Reference 41
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T21:24:43.999585Z
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 04df7688-a716-487c-8345-c552d2a7caac · outbound
This paper cites Advances in neural information processing systems 28 (2015).
Modeling Data Diversity for Joint Instance and Verbalizer Selection in Cold-Start Scenarios Advances in neural information processing systems 28 (2015)
Reference 42
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T21:24:43.789479Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Pith citing papers
No inbound Pith citation observations are available.