Pith. sign in

Paper Citation Record · LEDGER

Reconstructing Item Characteristic Curves using Fine-Tuned Large Language Models

As of 8 August 2026, this Paper Citation Record lists 39 of 39 outbound references and 0 inbound Pith citation observations for arXiv:2601.02580.

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

pith.paper-citation-record.v1
2601.02580 v2

Coverage vector

measured 39 of 39 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-03T12:36:13.824037Z

measured 39 of 39 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+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

39 of 39 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved38
  • parse uncertain1
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 8e2e57c0-42c7-44b6-bf11-1315f57877da · outbound

This paper cites Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone.

Reconstructing Item Characteristic Curves using Fine-Tuned Large Language Models Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-03T12:36:10.101100Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T12:36:10.101100Z digest=sha256:26e43b8e5aa6e285ca25d986f436e0f2eec760c5f9e1a0f0c8839e6f7735f9dc

Observation 339fa724-d86e-4187-85f1-103325ff5636 · outbound

This paper cites Llama 3 Model Card.

Reconstructing Item Characteristic Curves using Fine-Tuned Large Language Models Llama 3 Model Card

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-03T12:36:10.288160Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T12:36:10.288160Z digest=sha256:02bd00e46c3a7c071b40f34c193b915757e3c3ea581a717021fbeaa771797d24

Observation cca45937-af92-4b5a-90ca-9c00d6e21801 · outbound

This paper cites The Rise of Artificial Intelligence in Educational Measurement: Opportunities and Ethical Challenges.

Reconstructing Item Characteristic Curves using Fine-Tuned Large Language Models The Rise of Artificial Intelligence in Educational Measurement: Opportunities and Ethical Challenges

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-03T12:36:10.441794Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T12:36:10.441794Z digest=sha256:cd531c112194da6083e8c2e4f039a4ca8147485b8a401071f20e08147c9156b1

Observation b681e763-167f-4678-a4c3-61edbe2358ca · outbound

This paper cites Item Difficulty and Response Time Prediction with Large Language Models: An Empirical Analysis of USMLE Items.

Reconstructing Item Characteristic Curves using Fine-Tuned Large Language Models Item Difficulty and Response Time Prediction with Large Language Models: An Empirical Analysis of USMLE Items

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-03T12:36:10.596795Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T12:36:10.596795Z digest=sha256:8569022dda96c1b31d9086e624c342ccfd4c106c12fba957bcbb01454e835526

Observation 1f11385f-7cdf-4a4d-87fd-49fe9aae695a · outbound

This paper cites QLoRA: Efficient Finetuning of Quantized LLMs.Advances in Neural Information Processing Systems, 36:10088–10115, December 2023.

Reconstructing Item Characteristic Curves using Fine-Tuned Large Language Models QLoRA: Efficient Finetuning of Quantized LLMs.Advances in Neural Information Processing Systems, 36:10088–10115, December 2023

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-03T12:36:10.781965Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T12:36:10.781965Z digest=sha256:0295c3380abd6d0a25855376df2df4ac3aaafb6a04eed126d8410cb54192e409

Observation 0ae6284c-690f-4c0b-bf13-02085219cf44 · outbound

This paper cites Prompt Engineering with ChatGPT: A Guide for Academic Writers.Annals of Biomedical Engineering, 51(12):2629–2633, December 2023.

Reconstructing Item Characteristic Curves using Fine-Tuned Large Language Models Prompt Engineering with ChatGPT: A Guide for Academic Writers.Annals of Biomedical Engineering, 51(12):2629–2633, December 2023

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-03T12:36:11.125169Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T12:36:11.125169Z digest=sha256:604cd0450f855082a5a0abbd7b3bb0cb4b46e85848a31d3a5f2cb36470dbc092

Observation 83d65d4b-8246-4da0-92d1-2831ea57c8bd · outbound

This paper cites Hambleton, Hariharan Swaminathan, and H.

Reconstructing Item Characteristic Curves using Fine-Tuned Large Language Models Hambleton, Hariharan Swaminathan, and H

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-03T12:36:11.231182Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T12:36:11.231182Z digest=sha256:cfefb933640d76657cabbb9abae43bb8dfd6fc00919bd0ff983daeea3680c2a5

Observation 28f0b3bf-9744-43d3-8250-a61c76add9d5 · outbound

This paper cites LoRA: Low-Rank Adaptation of Large Language Models.

Reconstructing Item Characteristic Curves using Fine-Tuned Large Language Models LoRA: Low-Rank Adaptation of Large Language Models

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-03T12:36:11.281235Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T12:36:11.281235Z digest=sha256:1dda0ef901ff6f51e86a704e5b83566a67b1088e02464d01b3468fa9f3299316

Observation d44ca383-c527-406e-b9cb-d951c59d22b5 · outbound

This paper cites Item Diffi- culty Modeling Using Fine-Tuned Small and Large Language Models.

Reconstructing Item Characteristic Curves using Fine-Tuned Large Language Models Item Diffi- culty Modeling Using Fine-Tuned Small and Large Language Models

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-03T12:36:11.325413Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T12:36:11.325413Z digest=sha256:d793953134b5c204e80e519e57011811f0450f5e1d2ff779e3f92c0dc6b0bfbe

Observation b46ab865-0fa4-4e05-9172-1c8ea1d18bcc · outbound

This paper cites an unresolved cited work.

Reconstructing Item Characteristic Curves using Fine-Tuned Large Language Models Unresolved cited work

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-03T12:36:11.381004Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T12:36:11.381004Z digest=sha256:0ff4ea236b96b4160ed32c481d43a24264198365b558606b7fe7ee6514e75281

Observation a54d6565-b10c-43d5-a7dd-af1b056923e4 · outbound

This paper cites Decoupled Weight Decay Regularization.

Reconstructing Item Characteristic Curves using Fine-Tuned Large Language Models Decoupled Weight Decay Regularization

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-03T12:36:11.523998Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T12:36:11.523998Z digest=sha256:4ec9c1dfc7f22fbb4706821e77c73b6db176a91b39357b48837ad0207281734a

Observation 2d8acf9c-b6c0-40ec-a74f-90785aecaad2 · outbound

This paper cites GPT-4 Technical Report.

Reconstructing Item Characteristic Curves using Fine-Tuned Large Language Models GPT-4 Technical Report

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-03T12:36:11.608854Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T12:36:11.608854Z digest=sha256:c9605ee4f9e00ba042cf4d1700af99982dc71a78145d0b53965450203af6967c

Observation 667749d6-3d1a-44b9-b885-26cd7bb0738f · outbound

This paper cites Automated Text Scoring in the Age of Generative AI for the GPU-poor.Chinese/English Journal of Educational Measurement and Evaluation, 5(3), December 2024.

Reconstructing Item Characteristic Curves using Fine-Tuned Large Language Models Automated Text Scoring in the Age of Generative AI for the GPU-poor.Chinese/English Journal of Educational Measurement and Evaluation, 5(3), December 2024

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-03T12:36:11.665113Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T12:36:11.665113Z digest=sha256:4e88ca8218c9ecc5ae52f36ffe9c2695387f3fe8a45d3a570a999bb73b34cbd0

Observation 5f11c86c-f3a5-446c-843c-3a5ff9229493 · outbound

This paper cites Argumentation Element Annotation Modeling using XLNet.

Reconstructing Item Characteristic Curves using Fine-Tuned Large Language Models Argumentation Element Annotation Modeling using XLNet

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-03T12:36:11.718201Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T12:36:11.718201Z digest=sha256:5ff636bad2d3fb274bff13c3cbf864f5779c40d94eb2df5de65c78404c5c3a40

Observation 8fab748f-2406-4acb-9c77-70761254b308 · outbound

This paper cites Training language models to follow instructions with human feedback.

Reconstructing Item Characteristic Curves using Fine-Tuned Large Language Models Training language models to follow instructions with human feedback

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-03T12:36:11.806506Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T12:36:11.806506Z digest=sha256:c11ef17a9744f6738f69ea8bf8a3395dbeb0c8ca46ecddcb14f5630fac9f308e

Observation c285c565-5a73-4a25-b9c4-b064c473f4c8 · outbound

This paper cites Text-Based Ap- proaches to Item Difficulty Modeling in Large-Scale Assessments: A Systematic Review, September.

Reconstructing Item Characteristic Curves using Fine-Tuned Large Language Models Text-Based Ap- proaches to Item Difficulty Modeling in Large-Scale Assessments: A Systematic Review, September

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-03T12:36:11.925242Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T12:36:11.925242Z digest=sha256:d680ec1e47d5b47e8a4cf02ce470524be80072a58a8d20547169c524cfc7218e

Observation 9967d96a-128a-4bc3-8b66-142d4c4475b7 · outbound

This paper cites Improving Language Under- standing by Generative Pre-training, 2018.

Reconstructing Item Characteristic Curves using Fine-Tuned Large Language Models Improving Language Under- standing by Generative Pre-training, 2018

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-03T12:36:12.128613Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T12:36:12.128613Z digest=sha256:d06af84c1ce03250f76051d13ae20a6ec9570578fecf9f2f2301dc1985d0c4d2

Observation 0d0f0a79-b555-48ba-88a4-290f9630929b · outbound

This paper cites MESA Press, 5835 S,.

Reconstructing Item Characteristic Curves using Fine-Tuned Large Language Models MESA Press, 5835 S,

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-03T12:36:12.179587Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T12:36:12.179587Z digest=sha256:07184b5a3134290765606b44cdfa9b41354aaf7996ff50392e557c6a5e8be96d

Observation df23e513-a87b-4961-965f-3eb3e8d5ec87 · outbound

This paper cites Language models and Automated Essay Scoring.

Reconstructing Item Characteristic Curves using Fine-Tuned Large Language Models Language models and Automated Essay Scoring

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-03T12:36:12.368716Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T12:36:12.368716Z digest=sha256:1dd4b508cbecd7e127f7d20a805dd0b888108c6d9a3ac2178adc84c85353b8bd

Observation 4f5206a7-7fdf-40bb-870f-b82b7af86737 · outbound

This paper cites LaFlair, Yena Park, and Jacqueline Church.

Reconstructing Item Characteristic Curves using Fine-Tuned Large Language Models LaFlair, Yena Park, and Jacqueline Church

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-03T12:36:12.448701Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T12:36:12.448701Z digest=sha256:f5e03a98192429200ddb54b8bcc8b78dba6b76a50b633381e1cf2943d0731784

Observation f838a0a8-2a08-499a-92be-314d05d0d64d · outbound

This paper cites SMART: Simulated Students Aligned with Item Response Theory for Question Difficulty Prediction, September 2025.

Reconstructing Item Characteristic Curves using Fine-Tuned Large Language Models SMART: Simulated Students Aligned with Item Response Theory for Question Difficulty Prediction, September 2025

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-03T12:36:12.536760Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T12:36:12.536760Z digest=sha256:b3273615a90bdb853ac7da4b06e73e7b4d85795ff2ddcf280741facc8046b76e

Observation b4d99bb1-6199-4d3f-9621-cbf5d1d385db · outbound

This paper cites Proximal Policy Optimization Algorithms.

Reconstructing Item Characteristic Curves using Fine-Tuned Large Language Models Proximal Policy Optimization Algorithms

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-03T12:36:12.590256Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T12:36:12.590256Z digest=sha256:6cb790c90d7199d0f16a5278eb3efb0dc18b1511d75bdaefc7180cb83c4d02e1

Observation f021194a-708f-4459-8587-35882b2e3ec8 · outbound

This paper cites DSPy Assertions: Computational Constraints for Self-Refining Language Model Pipelines.

Reconstructing Item Characteristic Curves using Fine-Tuned Large Language Models DSPy Assertions: Computational Constraints for Self-Refining Language Model Pipelines

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-03T12:36:12.612884Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T12:36:12.612884Z digest=sha256:3994ee82475ad75afe6e9f5da39e66777cc81c0b17ce8fb0b0b0d724db1fbfc4

Observation 17d7a722-e9e4-4431-bec0-dc68ec931ae9 · outbound

This paper cites Dhamecha, Swarnadeep Saha, Tengfei Ma, V.

Reconstructing Item Characteristic Curves using Fine-Tuned Large Language Models Dhamecha, Swarnadeep Saha, Tengfei Ma, V

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-03T12:36:12.705931Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T12:36:12.705931Z digest=sha256:5977f361ae3bee87eeb287f086f6a013a49614e26a4bdbd10daec84d6939b2d8

Observation 5d02685e-7249-457c-8ea4-000f0461908d · outbound

This paper cites Attention is All you Need.

Reconstructing Item Characteristic Curves using Fine-Tuned Large Language Models Attention is All you Need

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-03T12:36:12.804794Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T12:36:12.804794Z digest=sha256:12e1206ef6a655dc258a1b72b38c1f052ca057f507c6a9a9ceb8760b83b0f750

Observation e677c2c5-b179-4a58-b482-81c73dcd46f5 · outbound

This paper cites GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding.

Reconstructing Item Characteristic Curves using Fine-Tuned Large Language Models GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-03T12:36:12.879185Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T12:36:12.879185Z digest=sha256:5dc2724cfb4b319dd71ccd05a7d439af13bbce36e57f3a13d7f70f2b1d3d7d7e

Observation 46190640-b95b-4675-a18b-a8a9add2974c · outbound

This paper cites Smarter, Better, Faster, Longer: A Modern Bidirectional Encoder for Fast, Memory Efficient, and Long Context Finetuning and Inference.

Reconstructing Item Characteristic Curves using Fine-Tuned Large Language Models Smarter, Better, Faster, Longer: A Modern Bidirectional Encoder for Fast, Memory Efficient, and Long Context Finetuning and Inference

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-03T12:36:12.959685Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T12:36:12.959685Z digest=sha256:3f5daaab672c33b30dd28126f398a80f75c8f795e1beca25381b98af12f94e9b

Observation 1c605851-c43a-4ffb-b1de-8914a8557d8f · outbound

This paper cites Emergent Abilities of Large Language Models.

Reconstructing Item Characteristic Curves using Fine-Tuned Large Language Models Emergent Abilities of Large Language Models

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-03T12:36:13.023195Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T12:36:13.023195Z digest=sha256:4c839f5fa52f589afc8c29b0cdcacacddd6b96fe6b7fea5fa3fb00c127200812

Observation c96a1bf2-3cf9-459a-a945-f7502ea0fddf · outbound

This paper cites Chain-of-Thought Prompting Elicits Reasoning in Large Language Models, January.

Reconstructing Item Characteristic Curves using Fine-Tuned Large Language Models Chain-of-Thought Prompting Elicits Reasoning in Large Language Models, January

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-03T12:36:13.101767Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T12:36:13.101767Z digest=sha256:b061e45e5b08451e4371e06889eacc057d7c0e48829c95bfc67ef0a0e9704586

Observation 38861806-a42b-4c26-b22b-b6f5fe5a7c1d · outbound

This paper cites Parameter-Efficient Fine-Tuning Methods for Pretrained Language Models: A Critical Review and Assessment.

Reconstructing Item Characteristic Curves using Fine-Tuned Large Language Models Parameter-Efficient Fine-Tuning Methods for Pretrained Language Models: A Critical Review and Assessment

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-03T12:36:13.304483Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T12:36:13.304483Z digest=sha256:dabcf211c405ed506301cd22a49ab532010dffcef3230a83c48c7cecddf78f7a

Observation cfd2239a-454a-4c58-98af-d0d281ea66f0 · outbound

This paper cites Findings from the First Shared Task on Automated Prediction of Difficulty and Response Time for Multiple-Choice Questions.

Reconstructing Item Characteristic Curves using Fine-Tuned Large Language Models Findings from the First Shared Task on Automated Prediction of Difficulty and Response Time for Multiple-Choice Questions

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-03T12:36:13.413810Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T12:36:13.413810Z digest=sha256:30426958dd4bedc93945dc7fb7e810157672278767943235876d5bd9f61e5200

Observation 22fff32e-7797-44d8-9481-a5c712715cc9 · outbound

This paper cites Qwen3 Technical Report, May.

Reconstructing Item Characteristic Curves using Fine-Tuned Large Language Models Qwen3 Technical Report, May

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-03T12:36:13.490518Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T12:36:13.490518Z digest=sha256:72ebe255a4696972f2ec5936e2541eefa1fc8e6ed7febaa34e7aa9288f12f78a

Observation e64fedfc-dd96-4fd7-b8ab-15083664c571 · outbound

This paper cites Qwen2 Technical Report.

Reconstructing Item Characteristic Curves using Fine-Tuned Large Language Models Qwen2 Technical Report

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-03T12:36:13.713741Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T12:36:13.713741Z digest=sha256:48c3911c5df3fe09f06f8f2ff64384cc76c8a32406da6a813026479a77092484

Observation 603e4b0c-dbd4-4326-8076-32c1faa1abe0 · outbound

This paper cites Critical.

Reconstructing Item Characteristic Curves using Fine-Tuned Large Language Models Critical

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-03T12:36:13.824037Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T12:36:13.824037Z digest=sha256:0d20d82049de0dff8b93e3b80b58563a3a8749554d32f2a8978a62fb0936b514

Observation fbcb8f0b-3c3f-4b58-b041-3ba220281b4a · outbound

This paper cites Qwen3 Technical Report.

Reconstructing Item Characteristic Curves using Fine-Tuned Large Language Models Qwen3 Technical Report

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-03T12:36:13.602426Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T12:36:13.602426Z digest=sha256:c5425d911e556ed4eb65d331305ff9e5bb7a1feb61b94ab07d2225da90883583

Observation 7f5ac29f-726d-45ff-8bb5-29b3286b7b02 · outbound

This paper cites an unresolved cited work.

Reconstructing Item Characteristic Curves using Fine-Tuned Large Language Models Unresolved cited work

Reference 1993

Resolution
parse uncertain
no resolver link, observed 2026-08-03T12:36:12.283624Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T12:36:12.283624Z digest=sha256:a69c35209a192d5a73216fb94942b10bf22f941ead3738d7973ceee1b4f432f6

Observation 28643140-207e-410b-bcbe-3aee1455ef91 · outbound

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

Reconstructing Item Characteristic Curves using Fine-Tuned Large Language Models BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Reference 2018

Resolution
unresolved
no resolver link, observed 2026-08-03T12:36:11.012966Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T12:36:11.012966Z digest=sha256:6b82a5f7d1261a15db5c58866a3b3ba2d2474bfcd6ab23534a7eec3d8755dad2

Observation f9b5e2e1-885d-4e29-8a0b-54966e27caca · outbound

This paper cites Chain-of-Thought Prompting Elicits Reasoning in Large Language Models.

Reconstructing Item Characteristic Curves using Fine-Tuned Large Language Models Chain-of-Thought Prompting Elicits Reasoning in Large Language Models

Reference 2023

Resolution
unresolved
no resolver link, observed 2026-08-03T12:36:13.158343Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T12:36:13.158343Z digest=sha256:4122ebccf28124773e4f85b40a9b892af9ab9d6ed5ec5d4e0088512bdfffc3a3

Observation b04fd2d8-a6c7-4ac8-a57a-5a81f22f49b9 · outbound

This paper cites an unresolved cited work.

Reconstructing Item Characteristic Curves using Fine-Tuned Large Language Models Unresolved cited work

Reference 2025

Resolution
unresolved
no resolver link, observed 2026-08-03T12:36:12.031499Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T12:36:12.031499Z digest=sha256:c29f288921d4d24a69aa0d9b812ed9500bfc55bfa99d0b6cce1a29c25bbd84d7

Pith citing papers

No inbound Pith citation observations are available.