Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-07T13:27:08.867449Z
Paper Citation Record · LEDGER
Ratas framework: A comprehensive genai-based approach to rubric-based marking of real-world textual exams
As of 8 August 2026, this Paper Citation Record lists 50 of 50 outbound references and 0 inbound Pith citation observations for arXiv:2505.23818.
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 2026-08-07T06:34:17.273281+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
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Source: cited_works
Reference resolution
50 of 50 outbound references displayed
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External citation measurements
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Outbound references
Observation 9c119b70-848b-4c59-af06-e3015882656f · outbound
This paper cites The power of open-ended questions for kids,.
Ratas framework: A comprehensive genai-based approach to rubric-based marking of real-world textual exams The power of open-ended questions for kids,
Reference 1
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Observation d67fd164-8941-4c25-bc6b-842ca41d5a6e · outbound
This paper cites Eliciting self-explanations improves understanding,.
Ratas framework: A comprehensive genai-based approach to rubric-based marking of real-world textual exams Eliciting self-explanations improves understanding,
Reference 2
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Observation 49375876-5d67-43ed-b342-a3016ee56093 · outbound
This paper cites Kolappan, Computer Assisted Short Answer Grading with Rubrics using Active Learning, 2023.
Ratas framework: A comprehensive genai-based approach to rubric-based marking of real-world textual exams Kolappan, Computer Assisted Short Answer Grading with Rubrics using Active Learning, 2023
Reference 3
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Observation 9b9fe532-7bc0-42c4-844f-c8aec2dc29fc · outbound
This paper cites Enhancing computer assisted assessment using rubrics in a qti editor,.
Ratas framework: A comprehensive genai-based approach to rubric-based marking of real-world textual exams Enhancing computer assisted assessment using rubrics in a qti editor,
Reference 4
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Observation d7848917-8a9b-4463-99d7-26d96ed4d53f · outbound
This paper cites Reducing workload in short answer grad- ing using machine learning,.
Ratas framework: A comprehensive genai-based approach to rubric-based marking of real-world textual exams Reducing workload in short answer grad- ing using machine learning,
Reference 5
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Observation 941be2b3-59ab-48b1-9834-b704df91bc73 · outbound
This paper cites Automatic assessment of text-based responses in post-secondary education: A systematic review,.
Ratas framework: A comprehensive genai-based approach to rubric-based marking of real-world textual exams Automatic assessment of text-based responses in post-secondary education: A systematic review,
Reference 6
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Observation e4b950da-4ee7-4ec5-b61b-395b28e9d849 · outbound
This paper cites The eras and trends of automatic short answer grading,.
Ratas framework: A comprehensive genai-based approach to rubric-based marking of real-world textual exams The eras and trends of automatic short answer grading,
Reference 7
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Observation fa6bc528-3a6f-41bb-a381-9197545167ac · outbound
This paper cites Automated long answer grading with ricechem dataset,.
Ratas framework: A comprehensive genai-based approach to rubric-based marking of real-world textual exams Automated long answer grading with ricechem dataset,
Reference 8
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Source-reported events for the cited work
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Observation 32307ae9-0003-45af-9b6e-1df8fe4c209a · outbound
This paper cites Analysis of algorithms in automated marking in education: a proposed hybrid algorithm,.
Ratas framework: A comprehensive genai-based approach to rubric-based marking of real-world textual exams Analysis of algorithms in automated marking in education: a proposed hybrid algorithm,
Reference 9
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Observation daa2af91-5109-4976-b3f2-09ff496edb7b · outbound
This paper cites Inject rubrics into short answer grading system,.
Ratas framework: A comprehensive genai-based approach to rubric-based marking of real-world textual exams Inject rubrics into short answer grading system,
Reference 10
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Source-reported events for the cited work
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Observation 2d0e9a7d-bd99-463a-929d-7fe202efd4c3 · outbound
This paper cites Explainable automatic grading with neural addi- tive models,.
Ratas framework: A comprehensive genai-based approach to rubric-based marking of real-world textual exams Explainable automatic grading with neural addi- tive models,
Reference 11
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Source-reported events for the cited work
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Observation 0a2eeabd-6234-474e-92bc-c11252578dee · outbound
This paper cites An approximation algorithm for the subpath planning problem.
Ratas framework: A comprehensive genai-based approach to rubric-based marking of real-world textual exams An approximation algorithm for the subpath planning problem
Reference 12
- Resolution
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Source-reported events for the cited work
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Observation 1b4acef4-1781-4feb-8f8f-47579a15b0d8 · outbound
This paper cites Probabilistic roadmap planner with adaptive sampling based on clustering.
Ratas framework: A comprehensive genai-based approach to rubric-based marking of real-world textual exams Probabilistic roadmap planner with adaptive sampling based on clustering
Reference 13
- Resolution
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Source-reported events for the cited work
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Observation 18bbfb6f-e5a0-4e92-9d89-c56503c22484 · outbound
This paper cites Attention is all you need,.
Ratas framework: A comprehensive genai-based approach to rubric-based marking of real-world textual exams Attention is all you need,
Reference 14
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Observation 481e7b92-9af4-46b7-9f4c-2f6c8a6dbb0c · outbound
This paper cites Alto,Modern Generative AI with ChatGPT and OpenAI Models: Leverage the capabilities of OpenAI’s LLM for productivity and innovation with GPT3 and GPT4.
Ratas framework: A comprehensive genai-based approach to rubric-based marking of real-world textual exams Alto,Modern Generative AI with ChatGPT and OpenAI Models: Leverage the capabilities of OpenAI’s LLM for productivity and innovation with GPT3 and GPT4
Reference 15
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Observation 15b37c00-d494-4b64-afd5-f51fd048f210 · outbound
This paper cites (2024, Sep.) Global generative ai in educa- tion market.
Ratas framework: A comprehensive genai-based approach to rubric-based marking of real-world textual exams (2024, Sep.) Global generative ai in educa- tion market
Reference 16
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This paper cites uchemann, M. Bannert, D. Dementieva, F . Fischer, U. Gasser, G. Groh, S. G.
Ratas framework: A comprehensive genai-based approach to rubric-based marking of real-world textual exams uchemann, M. Bannert, D. Dementieva, F . Fischer, U. Gasser, G. Groh, S. G
Reference 17
- Resolution
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Source-reported events for the cited work
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Observation 4aacf3ba-defc-41ef-ac63-a2b53a91bc39 · outbound
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Ratas framework: A comprehensive genai-based approach to rubric-based marking of real-world textual exams Llms in short answer scoring: Limi- tations and promise of zero-shot and few-shot approaches,
Reference 18
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Observation 6de07692-f95f-4f5b-92df-d3ace2b41297 · outbound
This paper cites Gpt-4o: The cutting-edge advancement in multi- modal llm,.
Ratas framework: A comprehensive genai-based approach to rubric-based marking of real-world textual exams Gpt-4o: The cutting-edge advancement in multi- modal llm,
Reference 19
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Observation c5022141-ef98-4bd5-a096-7ac7ac08526b · outbound
This paper cites The joint student response analysis and recognizing textual entailment challenge: making sense of student responses in educational applications,.
Ratas framework: A comprehensive genai-based approach to rubric-based marking of real-world textual exams The joint student response analysis and recognizing textual entailment challenge: making sense of student responses in educational applications,
Reference 20
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Observation e728c019-dddb-40ad-975a-514a5bd15540 · outbound
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Ratas framework: A comprehensive genai-based approach to rubric-based marking of real-world textual exams Learning to grade short answer ques- tions using semantic similarity measures and dependency graph alignments,
Reference 21
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Observation 91857819-e6b4-4b02-ac57-e479edaa9b8f · outbound
This paper cites Triplet loss based siamese networks for automatic short answer grading,.
Ratas framework: A comprehensive genai-based approach to rubric-based marking of real-world textual exams Triplet loss based siamese networks for automatic short answer grading,
Reference 22
- Resolution
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Observation b8377255-fc9f-4198-9184-703e0caf28b0 · outbound
This paper cites The automated grading of student open responses in mathematics,.
Ratas framework: A comprehensive genai-based approach to rubric-based marking of real-world textual exams The automated grading of student open responses in mathematics,
Reference 23
- Resolution
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Source-reported events for the cited work
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Observation a243ed6d-e5d3-448f-99d9-11a19be91a6b · outbound
This paper cites Automatic short answer grading with semspace sense vectors and malstm,.
Ratas framework: A comprehensive genai-based approach to rubric-based marking of real-world textual exams Automatic short answer grading with semspace sense vectors and malstm,
Reference 24
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Observation 214d8382-13a0-4f29-9a8e-fa59d2f1743a · outbound
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Ratas framework: A comprehensive genai-based approach to rubric-based marking of real-world textual exams Fine-tuning chatgpt for automatic scoring,
Reference 25
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Source-reported events for the cited work
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Observation 28ac99cb-1caa-4524-a47d-6b1c13a41b17 · outbound
This paper cites Automatic exam correction framework (aecf) for the mcqs, essays, and equations matching,.
Ratas framework: A comprehensive genai-based approach to rubric-based marking of real-world textual exams Automatic exam correction framework (aecf) for the mcqs, essays, and equations matching,
Reference 26
- Resolution
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Observation fb9a4ffb-4be2-4a13-abf4-ebd61f778c80 · outbound
This paper cites Automatic short-answer grading via bert-based deep neural networks,.
Ratas framework: A comprehensive genai-based approach to rubric-based marking of real-world textual exams Automatic short-answer grading via bert-based deep neural networks,
Reference 27
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Observation 0246384e-5f7f-434a-9605-540db48d123e · outbound
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Ratas framework: A comprehensive genai-based approach to rubric-based marking of real-world textual exams BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
Reference 28
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Ratas framework: A comprehensive genai-based approach to rubric-based marking of real-world textual exams Kublik and S
Reference 29
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Observation 90e5798d-b113-4cde-b3d6-4ab0acb6f41f · outbound
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Ratas framework: A comprehensive genai-based approach to rubric-based marking of real-world textual exams Llms in short answer scoring: Limi- tations and promise of zero-shot and few-shot approaches,
Reference 30
- Resolution
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Observation b2645d9f-366e-41a2-9eb3-54a6ad67783c · outbound
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Ratas framework: A comprehensive genai-based approach to rubric-based marking of real-world textual exams Short answer scoring with gpt-4,
Reference 31
- Resolution
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Observation dcba6d7c-69a9-437d-aac7-1da744ce33c5 · outbound
This paper cites Automated text scoring and real-time adjustable feedback: Supporting revision of scientific arguments involving uncertainty ,.
Ratas framework: A comprehensive genai-based approach to rubric-based marking of real-world textual exams Automated text scoring and real-time adjustable feedback: Supporting revision of scientific arguments involving uncertainty ,
Reference 32
- Resolution
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Observation 082364a2-d624-4b36-a8c4-492b90eadcbe · outbound
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Ratas framework: A comprehensive genai-based approach to rubric-based marking of real-world textual exams Machine learning-enabled automated feedback: Supporting students’ revision of scientific arguments based on data drawn from simulation,
Reference 33
- Resolution
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Observation 616a5c8a-a6b1-4ba7-8055-1a4f62fef883 · outbound
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Ratas framework: A comprehensive genai-based approach to rubric-based marking of real-world textual exams Explaining black box text modules in natural language with language models
Reference 34
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Ratas framework: A comprehensive genai-based approach to rubric-based marking of real-world textual exams Using criteria-based assessment rubrics for online marking: Technological and pedagogical challenges,
Reference 35
- Resolution
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Observation c260e5db-0642-458a-86dd-b7c5142f547f · outbound
This paper cites A comparison of the performance of analytic vs. holistic scoring rubrics to assess l2 writing,.
Ratas framework: A comprehensive genai-based approach to rubric-based marking of real-world textual exams A comparison of the performance of analytic vs. holistic scoring rubrics to assess l2 writing,
Reference 36
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 214a1dc9-11e7-43e9-99e5-23c6661c37a9 · outbound
This paper cites Assessment rubrics: towards clearer and more replicable design, research and practice,.
Ratas framework: A comprehensive genai-based approach to rubric-based marking of real-world textual exams Assessment rubrics: towards clearer and more replicable design, research and practice,
Reference 37
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 5f322f83-82d4-4e90-b413-747afadddf0f · outbound
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Ratas framework: A comprehensive genai-based approach to rubric-based marking of real-world textual exams Topic modeling algorithms and applications: A survey ,
Reference 38
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation eb413471-9b18-451d-87d7-6f6eb0d7b30f · outbound
This paper cites A survey of text classification algorithms,.
Ratas framework: A comprehensive genai-based approach to rubric-based marking of real-world textual exams A survey of text classification algorithms,
Reference 39
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 63a897b0-0bda-4475-8be4-1ea2e5fed29b · outbound
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Ratas framework: A comprehensive genai-based approach to rubric-based marking of real-world textual exams The Falcon Series of Open Language Models
Reference 40
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c0cbbbe3-4c77-4efc-8875-c9a4fee406af · outbound
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Ratas framework: A comprehensive genai-based approach to rubric-based marking of real-world textual exams Pegasus: Pre-training with extracted gap-sentences for abstractive summarization,
Reference 41
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation e27de6b2-bd06-44a3-ba2f-3b1d324d536f · outbound
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Ratas framework: A comprehensive genai-based approach to rubric-based marking of real-world textual exams LLaMA: Open and Efficient Foundation Language Models
Reference 42
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b82ba15f-efa9-47fd-a4d0-378332df7ac8 · outbound
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Ratas framework: A comprehensive genai-based approach to rubric-based marking of real-world textual exams Gemma: Open Models Based on Gemini Research and Technology
Reference 43
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Source-reported events for the cited work
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Ratas framework: A comprehensive genai-based approach to rubric-based marking of real-world textual exams BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehension
Reference 44
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
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Ratas framework: A comprehensive genai-based approach to rubric-based marking of real-world textual exams GPT-4o vs. GPT-4: How do they compare?
Reference 45
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation f263d827-ab6c-43fc-9f5f-d9b1319c7810 · outbound
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Ratas framework: A comprehensive genai-based approach to rubric-based marking of real-world textual exams Putting gpt-4o to the sword: A comprehensive evaluation of language, vision, speech, and multimodal proficiency,
Reference 46
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T13:27:09.238774Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 59340d76-f891-42ef-8770-0f4004a2d841 · outbound
This paper cites HiFT: A Hierarchical Full Parameter Fine-Tuning Strategy.
Ratas framework: A comprehensive genai-based approach to rubric-based marking of real-world textual exams HiFT: A Hierarchical Full Parameter Fine-Tuning Strategy
Reference 47
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T13:27:08.601156Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0d3d5f23-2cb4-44b1-b9ba-4e1f95c6be88 · outbound
This paper cites Prompt Design and Engineering: Introduction and Advanced Methods.
Ratas framework: A comprehensive genai-based approach to rubric-based marking of real-world textual exams Prompt Design and Engineering: Introduction and Advanced Methods
Reference 48
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T13:27:08.681795Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a8fdc4ec-058d-4bf0-a4d9-a17c4b6b0a30 · outbound
This paper cites Reframing Instructional Prompts to GPTk's Language.
Ratas framework: A comprehensive genai-based approach to rubric-based marking of real-world textual exams Reframing Instructional Prompts to GPTk's Language
Reference 49
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T13:27:08.775682Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f26cab8d-ef29-4731-aefe-9c9c2bd0ae54 · outbound
This paper cites Azure openai assistants - concepts,.
Ratas framework: A comprehensive genai-based approach to rubric-based marking of real-world textual exams Azure openai assistants - concepts,
Reference 50
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T13:27:09.098384Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Pith citing papers
No inbound Pith citation observations are available.