Paper Citation Record · LEDGER

Improve LLM-based Automatic Essay Scoring with Linguistic Features

As of 8 August 2026, this Paper Citation Record lists 37 of 37 outbound references and 1 inbound Pith citation observation for arXiv:2502.09497.

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

pith.paper-citation-record.v1
2502.09497 v1

Coverage vector

measured 37 of 37 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T21:18:55.506481Z

measured 38 of 38 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-22T09:23:50.964942Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-22T09:24:45.785523Z

Reference resolution

37 of 37 outbound references displayed

verified exact0
verified fuzzy15
unresolved20
parse uncertain0
malformed identifier0
metadata mismatch2

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 643361af-bc99-473d-85cf-7a5a3e0c5030 · outbound

This paper cites Personalized text generation with fine-grained linguistic control.

Improve LLM-based Automatic Essay Scoring with Linguistic Features Personalized text generation with fine-grained linguistic control

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T21:18:56.194520Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 08765d46-be21-4671-8e2d-0d5708bf349a · outbound

This paper cites Automated Scoring Using A Hybrid Feature Identification Technique.

Improve LLM-based Automatic Essay Scoring with Linguistic Features Automated Scoring Using A Hybrid Feature Identification Technique

Reference 2

Resolution: metadata mismatch; raw_fallback, observed 2026-08-07T21:18:55.909492Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 77171d4e-44de-4823-9061-cb68594b974a · outbound

This paper cites Automated essay scoring by maximizing human-machine agreement.

Improve LLM-based Automatic Essay Scoring with Linguistic Features Automated essay scoring by maximizing human-machine agreement

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T21:18:56.179563Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 4e95fed9-c719-4da9-8765-836dcca1fe8f · outbound

This paper cites A multi-task automated assessment system for essay scoring.

Improve LLM-based Automatic Essay Scoring with Linguistic Features A multi-task automated assessment system for essay scoring

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T21:18:56.163886Z

Source-reported events for the cited work

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Observation cde484e0-3685-470b-a2f9-701764c25965 · outbound

This paper cites A closer look into using large language models for automatic evaluation.

Improve LLM-based Automatic Essay Scoring with Linguistic Features A closer look into using large language models for automatic evaluation

Reference 5

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Source-reported events for the cited work

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Observation ce7a1b3d-39a8-4319-a03f-e363bb4f630d · outbound

This paper cites The English Language Learner Insight , Proficiency and Skills Evaluation ( ELLIPSE ) Corpus.

Improve LLM-based Automatic Essay Scoring with Linguistic Features The English Language Learner Insight , Proficiency and Skills Evaluation ( ELLIPSE ) Corpus

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-07T21:18:55.347215Z

Source-reported events for the cited work

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Observation 0e71a985-26a5-4ed2-a173-cbdcc1a091a9 · outbound

This paper cites The english language learner insight, proficiency and skills evaluation (ellipse) corpus.

Improve LLM-based Automatic Essay Scoring with Linguistic Features The english language learner insight, proficiency and skills evaluation (ellipse) corpus

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T21:18:56.148687Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation f951868d-4e61-4c6b-beb3-1fc7cc31d094 · outbound

This paper cites an unresolved cited work.

Improve LLM-based Automatic Essay Scoring with Linguistic Features Unresolved cited work

Reference 8

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Source-reported events for the cited work

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Observation b6776ee1-0927-4c63-8d9e-2a0da8a74860 · outbound

This paper cites BERT : Pre-training of Deep Bidirectional Transformers for Language Understanding.

Improve LLM-based Automatic Essay Scoring with Linguistic Features BERT : Pre-training of Deep Bidirectional Transformers for Language Understanding

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T21:18:56.119674Z

Source-reported events for the cited work

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Observation a97faf98-719b-4cbc-96e5-934260e28adc · outbound

This paper cites Attention-based recurrent convolutional neural network for automatic essay scoring.

Improve LLM-based Automatic Essay Scoring with Linguistic Features Attention-based recurrent convolutional neural network for automatic essay scoring

Reference 10

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Source-reported events for the cited work

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Observation 0b93f661-a85b-4861-a0cf-83b20dee9a9b · outbound

This paper cites Foltz, Darrell Laham, and Thomas K Landauer.

Improve LLM-based Automatic Essay Scoring with Linguistic Features Foltz, Darrell Laham, and Thomas K Landauer

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T21:18:56.104974Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 014637c0-a2fd-454d-9054-05ce0a24feb9 · outbound

This paper cites GPTS core: Evaluate as you desire.

Improve LLM-based Automatic Essay Scoring with Linguistic Features GPTS core: Evaluate as you desire

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-07T21:18:55.375949Z

Source-reported events for the cited work

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Observation 9f1efe67-0eee-4f91-a77b-1b5d0ff3a7b5 · outbound

This paper cites LLM-based NLG Evaluation: Current Status and Challenges.

Improve LLM-based Automatic Essay Scoring with Linguistic Features LLM-based NLG Evaluation: Current Status and Challenges

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-07T21:18:55.381149Z

Source-reported events for the cited work

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Observation 1a4c1478-9027-43d6-b3e2-c0a5af94f8cf · outbound

This paper cites The hewlett foundation: Automated essay scoring.

Improve LLM-based Automatic Essay Scoring with Linguistic Features The hewlett foundation: Automated essay scoring

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T21:18:56.089181Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 9f99ce55-c6e5-44f5-8dcb-1c2f92004a72 · outbound

This paper cites LLM -rubric: A multidimensional, calibrated approach to automated evaluation of natural language texts.

Improve LLM-based Automatic Essay Scoring with Linguistic Features LLM -rubric: A multidimensional, calibrated approach to automated evaluation of natural language texts

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-07T21:18:55.391321Z

Source-reported events for the cited work

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Observation f2c6ddce-7e4c-4e0d-80c8-131efc55d589 · outbound

This paper cites spaCy : Industrial-strength Natural Language Processing in Python.

Improve LLM-based Automatic Essay Scoring with Linguistic Features spaCy : Industrial-strength Natural Language Processing in Python

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-07T21:18:55.395887Z

Source-reported events for the cited work

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Observation 8cbfa62f-d8c3-4471-a0a2-7686ab926b15 · outbound

This paper cites Mistral 7B.

Improve LLM-based Automatic Essay Scoring with Linguistic Features Mistral 7B

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-07T21:18:55.401550Z

Source-reported events for the cited work

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Observation 3c4e8dda-03ec-4a71-81d4-aea49a5f7a6e · outbound

This paper cites TDNN : A two-stage deep neural network for prompt-independent automated essay scoring.

Improve LLM-based Automatic Essay Scoring with Linguistic Features TDNN : A two-stage deep neural network for prompt-independent automated essay scoring

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-07T21:18:55.406558Z

Source-reported events for the cited work

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Observation b3c66a5c-e57f-4e05-b43f-78f6fcd69c69 · outbound

This paper cites Gonzalez, Hao Zhang, and Ion Stoica.

Improve LLM-based Automatic Essay Scoring with Linguistic Features Gonzalez, Hao Zhang, and Ion Stoica

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-07T21:18:55.412393Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 68096f5c-3bbe-4ddc-a3ca-f26e63f514a3 · outbound

This paper cites Conundrums in cross-prompt automated essay scoring: Making sense of the state of the art.

Improve LLM-based Automatic Essay Scoring with Linguistic Features Conundrums in cross-prompt automated essay scoring: Making sense of the state of the art

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T21:18:56.062569Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 98afd2e4-ccec-4dee-8528-0ead6ebb2e63 · outbound

This paper cites G -eval: NLG evaluation using gpt-4 with better human alignment.

Improve LLM-based Automatic Essay Scoring with Linguistic Features G -eval: NLG evaluation using gpt-4 with better human alignment

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-07T21:18:55.423255Z

Source-reported events for the cited work

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Observation 62ee3e08-2420-4bc8-bb4f-fa63f8fd2d94 · outbound

This paper cites NLTK : The Natural Language Toolkit , May 2002.

Improve LLM-based Automatic Essay Scoring with Linguistic Features NLTK : The Natural Language Toolkit , May 2002

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T21:18:56.047337Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 6d638ad3-8a4b-47b9-a131-672304b2c097 · outbound

This paper cites an unresolved cited work.

Improve LLM-based Automatic Essay Scoring with Linguistic Features Unresolved cited work

Reference 23

Resolution: unresolved; raw_fallback, observed 2026-08-07T21:18:56.032871Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 5785a766-b191-42ef-88f2-621341c05137 · outbound

This paper cites ASAP ++: Enriching the ASAP automated essay grading dataset with essay attribute scores.

Improve LLM-based Automatic Essay Scoring with Linguistic Features ASAP ++: Enriching the ASAP automated essay grading dataset with essay attribute scores

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T21:18:56.017866Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation ecc74d3a-aa99-4114-9509-9e66dbcd29b8 · outbound

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Improve LLM-based Automatic Essay Scoring with Linguistic Features Unresolved cited work

Reference 25

Resolution: unresolved; raw_fallback, observed 2026-08-07T21:18:56.002829Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation a4f5bb2f-6c03-4f1c-812a-d37fb55b714f · outbound

This paper cites PyTorch : An Imperative Style , High-Performance Deep Learning Library.

Improve LLM-based Automatic Essay Scoring with Linguistic Features PyTorch : An Imperative Style , High-Performance Deep Learning Library

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T21:18:55.987720Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 44fb3fe1-c811-4d98-8e8e-f4c6bebd2c7c · outbound

This paper cites Chai, and Hwee Tou Ng.

Improve LLM-based Automatic Essay Scoring with Linguistic Features Chai, and Hwee Tou Ng

Reference 27

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Source-reported events for the cited work

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Observation a430e61e-fb82-4668-9703-acd1fc55d1a7 · outbound

This paper cites Prompt Agnostic Essay Scorer: A Domain Generalization Approach to Cross-prompt Automated Essay Scoring.

Improve LLM-based Automatic Essay Scoring with Linguistic Features Prompt Agnostic Essay Scorer: A Domain Generalization Approach to Cross-prompt Automated Essay Scoring

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-07T21:18:55.457091Z

Source-reported events for the cited work

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Observation 2ed959d8-fc07-4313-9eea-46d437a72fba · outbound

This paper cites Prompt Agnostic Essay Scorer : A Domain Generalization Approach to Cross-prompt Automated Essay Scoring , August 2020 b.

Improve LLM-based Automatic Essay Scoring with Linguistic Features Prompt Agnostic Essay Scorer : A Domain Generalization Approach to Cross-prompt Automated Essay Scoring , August 2020 b

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T21:18:55.971693Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation c45d8c74-e376-417e-8130-97b11bdd5ea4 · outbound

This paper cites Automated Cross-prompt Scoring of Essay Traits.

Improve LLM-based Automatic Essay Scoring with Linguistic Features Automated Cross-prompt Scoring of Essay Traits

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-07T21:18:55.471160Z

Source-reported events for the cited work

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Observation 43444333-a171-4be2-b3e0-b8d3e06d6dc1 · outbound

This paper cites Exploring LLM prompting strategies for joint essay scoring and feedback generation.

Improve LLM-based Automatic Essay Scoring with Linguistic Features Exploring LLM prompting strategies for joint essay scoring and feedback generation

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T21:18:55.956160Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 971e0334-75fc-41a4-b78a-0aa9fe93530f · outbound

This paper cites Neural automated essay scoring incorporating handcrafted features.

Improve LLM-based Automatic Essay Scoring with Linguistic Features Neural automated essay scoring incorporating handcrafted features

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-07T21:18:55.481447Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 674bc001-9955-4786-bd3d-73424766b235 · outbound

This paper cites On the use of bert for automated essay scoring: Joint learning of multi-scale essay representation.

Improve LLM-based Automatic Essay Scoring with Linguistic Features On the use of bert for automated essay scoring: Joint learning of multi-scale essay representation

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-07T21:18:55.486110Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation aafcc75f-5f8d-4fa7-b7e9-f49ec9f44d95 · outbound

This paper cites HuggingFace's Transformers: State-of-the-art Natural Language Processing.

Improve LLM-based Automatic Essay Scoring with Linguistic Features HuggingFace's Transformers: State-of-the-art Natural Language Processing

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-07T21:18:55.491150Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8fb99a1c-2346-4e73-8d0d-68ef15c9bc88 · outbound

This paper cites A hierarchical bert-based transfer learning approach for multi-dimensional essay scoring.

Improve LLM-based Automatic Essay Scoring with Linguistic Features A hierarchical bert-based transfer learning approach for multi-dimensional essay scoring

Reference 36

Resolution: metadata mismatch; raw_fallback, observed 2026-08-07T21:18:55.761556Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 88a696c2-6b81-4559-bf33-2c75acbdd113 · outbound

This paper cites Is LLM a reliable reviewer? a comprehensive evaluation of LLM on automatic paper reviewing tasks.

Improve LLM-based Automatic Essay Scoring with Linguistic Features Is LLM a reliable reviewer? a comprehensive evaluation of LLM on automatic paper reviewing tasks

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T21:18:55.940740Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 8b8240dd-6bd6-4c36-8db6-b9c425e1bdbe · outbound

This paper cites A LLM -based ranking method for the evaluation of automatic counter-narrative generation.

Improve LLM-based Automatic Essay Scoring with Linguistic Features A LLM -based ranking method for the evaluation of automatic counter-narrative generation

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T21:18:55.924447Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Pith citing papers

Observation 27992272-acf4-4d64-a098-c38fb316e524 · inbound

Exploring the Effectiveness of Using LLMs for Automated Assessment of Student Self Explanations in Programming Education cites this paper.

Exploring the Effectiveness of Using LLMs for Automated Assessment of Student Self Explanations in Programming Education Improve LLM-based Automatic Essay Scoring with Linguistic Features

Reference 96

Resolution: verified exact; arxiv_id, observed 2026-05-22T09:24:45.788023Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.