Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-11T11:03:24.573807Z
Paper Citation Record · LEDGER
On the Suitability of pre-trained foundational LLMs for Analysis in German Legal Education
As of 16 August 2026, this Paper Citation Record lists 16 of 16 outbound references and 2 inbound Pith citation observations for arXiv:2412.15902.
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 2026-08-16T06:30:59.297886+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-06-26T17:38:19.304425Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-10T06:15:00.866473Z
Reference resolution
16 of 16 outbound references displayed
- verified exact0
- verified fuzzy4
- unresolved12
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation ff01f038-6f5f-4d8f-a795-d3b2e0fd3b2c · outbound
This paper cites Can Large Language Models perform Relation-based Argument Mining?.
On the Suitability of pre-trained foundational LLMs for Analysis in German Legal Education Can Large Language Models perform Relation-based Argument Mining?
Reference 4
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T11:03:24.273411Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 141df9cd-9b31-47bf-a3d1-aef64d50f739 · outbound
This paper cites Large Language Models in Law: A Survey.
On the Suitability of pre-trained foundational LLMs for Analysis in German Legal Education Large Language Models in Law: A Survey
Reference 5
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T11:03:24.322041Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1ba9c8b7-393a-405c-a5e0-718b7c687ff7 · outbound
This paper cites Multi-Task Contrastive Learning for 8192-Token Bilingual Text Embeddings.
On the Suitability of pre-trained foundational LLMs for Analysis in German Legal Education Multi-Task Contrastive Learning for 8192-Token Bilingual Text Embeddings
Reference 6
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T11:03:24.326637Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ddfa37b6-e318-4599-a3b0-53b8b479e4ce · outbound
This paper cites an unresolved cited work.
On the Suitability of pre-trained foundational LLMs for Analysis in German Legal Education Unresolved cited work
Reference 8
- Resolution
- unresolved
- raw_fallback, observed 2026-08-11T11:03:24.915387Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 1d9460fb-0eb0-43c4-9f02-87bcc3cdfd20 · outbound
This paper cites A Systematic Survey of Prompt Engineering in Large Language Models: Techniques and Applications.
On the Suitability of pre-trained foundational LLMs for Analysis in German Legal Education A Systematic Survey of Prompt Engineering in Large Language Models: Techniques and Applications
Reference 10
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T11:03:24.344552Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 427bfb74-59d8-4b6a-8c38-a5a13b551b8f · outbound
This paper cites Exploring LLM Prompting Strategies for Joint Essay Scoring and Feedback Generation.
On the Suitability of pre-trained foundational LLMs for Analysis in German Legal Education Exploring LLM Prompting Strategies for Joint Essay Scoring and Feedback Generation
Reference 11
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T11:03:24.404105Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3bd9a36f-9761-4138-a4d6-a24f1495f9d5 · outbound
This paper cites InFindings of the Association for Com- putational Linguistics: ACL 2023, pages 2296–.
On the Suitability of pre-trained foundational LLMs for Analysis in German Legal Education InFindings of the Association for Com- putational Linguistics: ACL 2023, pages 2296–
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T11:03:24.828046Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 3a667fa7-d5d6-4306-b62b-9c9678e95df6 · outbound
This paper cites Human-AI Collaborative Essay Scoring: A Dual-Process Framework with LLMs.
On the Suitability of pre-trained foundational LLMs for Analysis in German Legal Education Human-AI Collaborative Essay Scoring: A Dual-Process Framework with LLMs
Reference 14
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T11:03:24.554885Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ca9b6738-d936-440c-a76a-69343249a44b · outbound
This paper cites InFind- ings of the Association for Computational Lin- guistics: EMNLP 2020, pages 1560–1569.
On the Suitability of pre-trained foundational LLMs for Analysis in German Legal Education InFind- ings of the Association for Computational Lin- guistics: EMNLP 2020, pages 1560–1569
Reference 15
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T11:03:24.798341Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation ccd4547b-c489-4a05-b4dc-a032f1dd5e70 · outbound
This paper cites In Proceedings of the 2016 conference on empirical methods in natural language processing, pages 1882–1891.
On the Suitability of pre-trained foundational LLMs for Analysis in German Legal Education In Proceedings of the 2016 conference on empirical methods in natural language processing, pages 1882–1891
Reference 2016
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T11:03:24.840550Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 3fec82fc-fdb3-4dac-88fa-155a6efc4c16 · outbound
This paper cites Language models and Automated Essay Scoring.
On the Suitability of pre-trained foundational LLMs for Analysis in German Legal Education Language models and Automated Essay Scoring
Reference 2019
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T11:03:24.340477Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f024f1d7-a5e4-47a3-8522-54c723970a42 · outbound
This paper cites Pierre Colombo, Telmo Pessoa Pires, Malik Boudiaf, Dominic Culver, Rui Melo, Caio Corro, Andre FT Martins, Fabrizio Esposito, Vera Lú- cia Raposo, Sofia Morgado, et al.
On the Suitability of pre-trained foundational LLMs for Analysis in German Legal Education Pierre Colombo, Telmo Pessoa Pires, Malik Boudiaf, Dominic Culver, Rui Melo, Caio Corro, Andre FT Martins, Fabrizio Esposito, Vera Lú- cia Raposo, Sofia Morgado, et al
Reference 2020
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T11:03:25.093120Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 5b2513b3-a4e3-490b-8421-0e4f59395eee · outbound
This paper cites Automated essay scoring using efficient transformer-based language models.
On the Suitability of pre-trained foundational LLMs for Analysis in German Legal Education Automated essay scoring using efficient transformer-based language models
Reference 2021
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T11:03:24.331318Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 296a3079-1ce5-4580-b39d-29b648331e51 · outbound
This paper cites Automatic Chain of Thought Prompting in Large Language Models.
On the Suitability of pre-trained foundational LLMs for Analysis in German Legal Education Automatic Chain of Thought Prompting in Large Language Models
Reference 2022
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T11:03:24.573807Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation cc95d7c0-4b50-4693-b080-82887a012995 · outbound
This paper cites GQA: Training Generalized Multi-Query Transformer Models from Multi-Head Checkpoints.
On the Suitability of pre-trained foundational LLMs for Analysis in German Legal Education GQA: Training Generalized Multi-Query Transformer Models from Multi-Head Checkpoints
Reference 2023
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T11:03:24.119470Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7aacdcd7-747b-445a-90cb-2c43e65323d6 · outbound
This paper cites SaulLM-7B: A pioneering Large Language Model for Law.
On the Suitability of pre-trained foundational LLMs for Analysis in German Legal Education SaulLM-7B: A pioneering Large Language Model for Law
Reference 2024
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T11:03:24.230295Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Pith citing papers
Observation a22e5db3-f006-43bd-9a50-adcc13975fda · inbound
GradeLegal: Automated Grading for German Legal Cases cites this paper.
GradeLegal: Automated Grading for German Legal Cases On the Suitability of pre-trained foundational LLMs for Analysis in German Legal Education
Reference 67
- Resolution
- verified exact
- arxiv_id, observed 2026-05-21T05:09:38.524511Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 72de590b-ad5e-40d5-a53e-db11c5a3ef97 · inbound
PsyScore: A Psychometrically-Aware Framework for Trait-Adaptive Essay Scoring and ZPD-Scaffolded Feedback cites this paper.
PsyScore: A Psychometrically-Aware Framework for Trait-Adaptive Essay Scoring and ZPD-Scaffolded Feedback On the Suitability of pre-trained foundational LLMs for Analysis in German Legal Education
Reference 46
- Resolution
- verified exact
- arxiv_id, observed 2026-06-26T17:39:40.215346Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.