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Paper Citation Record · LEDGER

AiAWE: An Open-Source LLM Automated Writing Evaluation System Using LoRA-Adapted Instruction-Tuned Models

As of 9 August 2026, this Paper Citation Record lists 35 of 35 outbound references and 0 inbound Pith citation observations for arXiv:2606.12801.

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

pith.paper-citation-record.v1
2606.12801 v1

Coverage vector

measured 35 of 35 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-27T05:52:48.606188Z

measured 35 of 35 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

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

35 of 35 outbound references displayed

  • verified exact2
  • verified fuzzy0
  • unresolved31
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch2

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation c4080f46-31ec-46a3-8f38-a0baa8e59991 · outbound

This paper cites zero-shot prompting , author=.

AiAWE: An Open-Source LLM Automated Writing Evaluation System Using LoRA-Adapted Instruction-Tuned Models zero-shot prompting , author=

Reference 1

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source=arxiv_source observed=2026-06-27T05:52:48.606188Z digest=sha256:e4f2c003c3dd3ff0e4e7581775ffe97dc53ede063d518fa59ef14d9b00070cdd

Observation ebaa2e18-0155-46b2-baec-4e3918663afb · outbound

This paper cites Computer Assisted Language Learning , pages=.

AiAWE: An Open-Source LLM Automated Writing Evaluation System Using LoRA-Adapted Instruction-Tuned Models Computer Assisted Language Learning , pages=

Reference 2

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source=arxiv_source observed=2026-06-27T05:52:48.606188Z digest=sha256:4ee72ff453cf069f8c55b84add33444a89ad7fc3ab053346f340f9fbdbeaa117

Observation bb086fd7-2ef2-41e4-aa65-ecf817582bb6 · outbound

This paper cites Assessing Writing , volume=.

AiAWE: An Open-Source LLM Automated Writing Evaluation System Using LoRA-Adapted Instruction-Tuned Models Assessing Writing , volume=

Reference 3

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Observation 151851bb-7a86-42ea-a1e0-da79e77d0a88 · outbound

This paper cites an unresolved cited work.

AiAWE: An Open-Source LLM Automated Writing Evaluation System Using LoRA-Adapted Instruction-Tuned Models Unresolved cited work

Reference 4

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source=arxiv_source observed=2026-06-27T05:52:48.606188Z digest=sha256:162cd00e4f346ae030329252826d29bc565e362712efee638fea1e55cafd465c

Observation 60f5d33e-3142-48dd-ba33-07a77105e5b7 · outbound

This paper cites Heliyon , volume=.

AiAWE: An Open-Source LLM Automated Writing Evaluation System Using LoRA-Adapted Instruction-Tuned Models Heliyon , volume=

Reference 5

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source=arxiv_source observed=2026-06-27T05:52:48.606188Z digest=sha256:f713aaadfa45e9c919662839249deae42c3b56816883237205ca3f4e8fa63a60

Observation 8ef9dba5-ca5b-4a7a-8baf-edd75aa29bc3 · outbound

This paper cites Fine-tuning.

AiAWE: An Open-Source LLM Automated Writing Evaluation System Using LoRA-Adapted Instruction-Tuned Models Fine-tuning

Reference 6

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Observation b412984b-827f-49e2-8153-aad55600c4d5 · outbound

This paper cites Automated Text Scoring in the Age of Generative AI for the GPU-poor.

AiAWE: An Open-Source LLM Automated Writing Evaluation System Using LoRA-Adapted Instruction-Tuned Models Automated Text Scoring in the Age of Generative AI for the GPU-poor

Reference 7

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arxiv_id, observed 2026-07-03T16:18:38.201699Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation b464c806-5c86-4262-ab39-48867faf6662 · outbound

This paper cites Exploring the potential of using an.

AiAWE: An Open-Source LLM Automated Writing Evaluation System Using LoRA-Adapted Instruction-Tuned Models Exploring the potential of using an

Reference 8

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source=arxiv_source observed=2026-06-27T05:52:48.606188Z digest=sha256:40b58e6f2ab48a06f6c076a069ff16a12b35023b2e57830abbf0f3f96495df33

Observation 22ca8eb2-a534-4ad3-882a-1f1078490b86 · outbound

This paper cites an unresolved cited work.

AiAWE: An Open-Source LLM Automated Writing Evaluation System Using LoRA-Adapted Instruction-Tuned Models Unresolved cited work

Reference 9

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Observation 53309734-687a-4b0e-bd2d-0325cd7a1447 · outbound

This paper cites Proceedings of the 2024 8th International Conference on Computer Science and Artificial Intelligence (CSAI) , pages=.

AiAWE: An Open-Source LLM Automated Writing Evaluation System Using LoRA-Adapted Instruction-Tuned Models Proceedings of the 2024 8th International Conference on Computer Science and Artificial Intelligence (CSAI) , pages=

Reference 10

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Observation fb27acb4-194a-4619-94b7-b4d16b38da71 · outbound

This paper cites From Prompting to Preference Optimization: A Comparative Study of.

AiAWE: An Open-Source LLM Automated Writing Evaluation System Using LoRA-Adapted Instruction-Tuned Models From Prompting to Preference Optimization: A Comparative Study of

Reference 11

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Observation 53f46486-a061-4d10-8e69-305c65ddac13 · outbound

This paper cites Applying large language models for automated essay scoring for non-native.

AiAWE: An Open-Source LLM Automated Writing Evaluation System Using LoRA-Adapted Instruction-Tuned Models Applying large language models for automated essay scoring for non-native

Reference 12

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Observation 867df253-a08c-4a54-b8cf-cddf46bdc2b4 · outbound

This paper cites Applied Sciences , volume=.

AiAWE: An Open-Source LLM Automated Writing Evaluation System Using LoRA-Adapted Instruction-Tuned Models Applied Sciences , volume=

Reference 13

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Observation 13b30fdd-bcae-4c31-91ea-3f2a244d4f4f · outbound

This paper cites , author=.

AiAWE: An Open-Source LLM Automated Writing Evaluation System Using LoRA-Adapted Instruction-Tuned Models , author=

Reference 14

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Observation 1ef7daec-a666-499e-94a9-224f1f1cb45a · outbound

This paper cites Artificial intelligence review , volume=.

AiAWE: An Open-Source LLM Automated Writing Evaluation System Using LoRA-Adapted Instruction-Tuned Models Artificial intelligence review , volume=

Reference 15

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Observation 4e475b4f-7fc5-45a4-a70a-05b7ad71bc9e · outbound

This paper cites and Shen, Yelong and Wallis, Phillip and Allen-Zhu, Zeyuan and Li, Yuanzhi and Wang, Shean and Wang, Lu and Chen, Weizhu , journal=.

AiAWE: An Open-Source LLM Automated Writing Evaluation System Using LoRA-Adapted Instruction-Tuned Models and Shen, Yelong and Wallis, Phillip and Allen-Zhu, Zeyuan and Li, Yuanzhi and Wang, Shean and Wang, Lu and Chen, Weizhu , journal=

Reference 16

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Observation 26f0fd9c-6121-4f9a-827d-6862d7b88770 · outbound

This paper cites , journal=.

AiAWE: An Open-Source LLM Automated Writing Evaluation System Using LoRA-Adapted Instruction-Tuned Models , journal=

Reference 17

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Source-reported events for the cited work

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Observation 2e1b89f9-d48b-458e-802b-b6b05c0b3c3d · outbound

This paper cites How Much is Too Much? Exploring.

AiAWE: An Open-Source LLM Automated Writing Evaluation System Using LoRA-Adapted Instruction-Tuned Models How Much is Too Much? Exploring

Reference 18

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Observation e0780df5-7879-4251-af5f-3152f8d34aca · outbound

This paper cites Subspace Geometry Governs Catastrophic Forgetting in Low- Rank Adaptation.

AiAWE: An Open-Source LLM Automated Writing Evaluation System Using LoRA-Adapted Instruction-Tuned Models Subspace Geometry Governs Catastrophic Forgetting in Low- Rank Adaptation

Reference 19

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arxiv_id, observed 2026-07-03T16:18:38.198259Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation d3ac0bbe-cdd3-47ef-86ce-fb0b1579afdf · outbound

This paper cites an unresolved cited work.

AiAWE: An Open-Source LLM Automated Writing Evaluation System Using LoRA-Adapted Instruction-Tuned Models Unresolved cited work

Reference 20

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Observation 41686858-c263-4c74-b9d4-2ee8eaa1a275 · outbound

This paper cites Advances in Neural Information Processing Systems , volume=.

AiAWE: An Open-Source LLM Automated Writing Evaluation System Using LoRA-Adapted Instruction-Tuned Models Advances in Neural Information Processing Systems , volume=

Reference 21

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Observation bc2a35c4-f396-41ac-a025-ffef4b245792 · outbound

This paper cites Gemma: Open Models Based on Gemini Research and Technology.

AiAWE: An Open-Source LLM Automated Writing Evaluation System Using LoRA-Adapted Instruction-Tuned Models Gemma: Open Models Based on Gemini Research and Technology

Reference 22

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local_arxiv, observed 2026-07-03T16:18:38.200960Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 513cd1ef-8e4a-4e29-be2d-40c9ee1c7a74 · outbound

This paper cites an unresolved cited work.

AiAWE: An Open-Source LLM Automated Writing Evaluation System Using LoRA-Adapted Instruction-Tuned Models Unresolved cited work

Reference 23

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Observation 3c848900-8c38-4d6e-83a8-a6a3b061cc29 · outbound

This paper cites An empirical study of.

AiAWE: An Open-Source LLM Automated Writing Evaluation System Using LoRA-Adapted Instruction-Tuned Models An empirical study of

Reference 24

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Observation 50c9c5ff-8b4c-4206-a5d1-a966d921d49a · outbound

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AiAWE: An Open-Source LLM Automated Writing Evaluation System Using LoRA-Adapted Instruction-Tuned Models cpp Quantization on Llama-3.1-8B-Instruct , author=

Reference 25

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arxiv_id, observed 2026-07-03T16:18:38.192345Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-06-27T05:52:48.606188Z digest=sha256:bde7ba16af71de8cc0c6b9ee2f8087dd4c44b5cc927ed9699d79d065f075041c

Observation f62c8b28-1ecd-4245-b68d-a8f7a33ba26c · outbound

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AiAWE: An Open-Source LLM Automated Writing Evaluation System Using LoRA-Adapted Instruction-Tuned Models International Conference on Artificial Intelligence in Education , pages=

Reference 26

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Observation 7fd6378a-8d24-4f0c-907c-8efcac2fbd6b · outbound

This paper cites Open-source.

AiAWE: An Open-Source LLM Automated Writing Evaluation System Using LoRA-Adapted Instruction-Tuned Models Open-source

Reference 27

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Observation 97b7127f-4991-4ca5-8c8f-54c64f5684f3 · outbound

This paper cites Proceedings of the 62nd annual meeting of the association for computational linguistics (volume 3: system demonstrations) , pages=.

AiAWE: An Open-Source LLM Automated Writing Evaluation System Using LoRA-Adapted Instruction-Tuned Models Proceedings of the 62nd annual meeting of the association for computational linguistics (volume 3: system demonstrations) , pages=

Reference 28

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Observation 96b37678-021f-4332-afcb-d5f7f1db81b4 · outbound

This paper cites an unresolved cited work.

AiAWE: An Open-Source LLM Automated Writing Evaluation System Using LoRA-Adapted Instruction-Tuned Models Unresolved cited work

Reference 29

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Observation 36815bfe-782d-4f47-8819-397230eac329 · outbound

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AiAWE: An Open-Source LLM Automated Writing Evaluation System Using LoRA-Adapted Instruction-Tuned Models A systematic review of large language models in

Reference 30

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Observation 43703706-c7d9-4b4e-a1cb-007fd0a1da6e · outbound

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AiAWE: An Open-Source LLM Automated Writing Evaluation System Using LoRA-Adapted Instruction-Tuned Models 2013 , publisher=

Reference 31

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Observation 0b1c6371-4d41-45ed-9877-17b32d96fb50 · outbound

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AiAWE: An Open-Source LLM Automated Writing Evaluation System Using LoRA-Adapted Instruction-Tuned Models 2025 , howpublished=

Reference 32

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Observation 49b30e61-1587-4cc6-bd92-a6ab81cfe201 · outbound

This paper cites Enhancing privacy-preserving deployable large language models for perioperative complication detection: a targeted strategy with.

AiAWE: An Open-Source LLM Automated Writing Evaluation System Using LoRA-Adapted Instruction-Tuned Models Enhancing privacy-preserving deployable large language models for perioperative complication detection: a targeted strategy with

Reference 33

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Observation f02cf3fa-5512-46eb-a566-2595bbbfa622 · outbound

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AiAWE: An Open-Source LLM Automated Writing Evaluation System Using LoRA-Adapted Instruction-Tuned Models NPJ Digital Medicine , year=

Reference 34

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Observation 11cb8153-b029-41c5-9bb7-5b948fb5638c · outbound

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AiAWE: An Open-Source LLM Automated Writing Evaluation System Using LoRA-Adapted Instruction-Tuned Models Monitoring of scoring using the e-rater

Reference 35

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Pith citing papers

No inbound Pith citation observations are available.