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Paper Citation Record · LEDGER

Knowledge is Power: Harnessing Large Language Models for Enhanced Cognitive Diagnosis

As of 9 August 2026, this Paper Citation Record lists 14 of 14 outbound references and 0 inbound Pith citation observations for arXiv:2502.05556.

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

pith.paper-citation-record.v1
2502.05556 v1

Coverage vector

measured 14 of 14 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-08T18:53:06.651248Z

measured 14 of 14 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

14 of 14 outbound references displayed

  • verified exact0
  • verified fuzzy5
  • unresolved9
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 768b1e0d-0a2d-4e02-9df7-22773ef55813 · outbound

This paper cites Adapting Large Language Models for Education: Foundational Capabilities, Potentials, and Challenges.

Knowledge is Power: Harnessing Large Language Models for Enhanced Cognitive Diagnosis Adapting Large Language Models for Education: Foundational Capabilities, Potentials, and Challenges

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-08T18:53:06.346754Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T18:53:06.346754Z digest=sha256:747aa579cf687f7652db848e0e667a5ddfb769b6fafd2dabd63f67265f4ec094

Observation a198d7d6-ef68-43e4-8dc2-52896bae57e1 · outbound

This paper cites Adaptive Machine Translation with Large Language Models.

Knowledge is Power: Harnessing Large Language Models for Enhanced Cognitive Diagnosis Adaptive Machine Translation with Large Language Models

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-08T18:53:06.356780Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T18:53:06.356780Z digest=sha256:4eca089d533994c04aeb696ca107c2c996dd9a93a27c0084b789323f8ba02bf5

Observation 1f2a3ab5-a5ae-4f50-99db-d32ff9f5da7c · outbound

This paper cites In Findings of the Association for Computational Linguistics: ACL 2023, 1102–1121.

Knowledge is Power: Harnessing Large Language Models for Enhanced Cognitive Diagnosis In Findings of the Association for Computational Linguistics: ACL 2023, 1102–1121

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T18:53:06.864643Z

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=pdf_text observed=2026-08-08T18:53:06.418633Z digest=sha256:c61f63386b130bdf8caf5c2f9904a10b793cf87e5604367ea0f697f5ab17497b

Observation 831d90cd-c02e-4e4e-953d-18e89cbc339e · outbound

This paper cites EduAgent: Generative Student Agents in Learning.

Knowledge is Power: Harnessing Large Language Models for Enhanced Cognitive Diagnosis EduAgent: Generative Student Agents in Learning

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-08T18:53:06.507323Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T18:53:06.507323Z digest=sha256:a27581bba521ef840e9dc21eafe4548ad782a929c8034f77acfedcb0b8ec3d0e

Observation abd0375a-8021-405c-a8fd-2c0662e2c6f3 · outbound

This paper cites Prompting Large Language Model for Machine Translation: A Case Study.

Knowledge is Power: Harnessing Large Language Models for Enhanced Cognitive Diagnosis Prompting Large Language Model for Machine Translation: A Case Study

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-08T18:53:06.575972Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T18:53:06.575972Z digest=sha256:b724c4231ca3500b8ff1ed10d8681e364c5db6d8aa07e9c47aa3a459700f1fc4

Observation 74b98219-0c69-497c-9dac-33e762dfd95c · outbound

This paper cites SummIt: Iterative Text Summarization via ChatGPT.

Knowledge is Power: Harnessing Large Language Models for Enhanced Cognitive Diagnosis SummIt: Iterative Text Summarization via ChatGPT

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-08T18:53:06.616400Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T18:53:06.616400Z digest=sha256:0d1c19de3376cbaae659b060dd5f80d1897998a3e5c5dd3b2566fdfb5d370fee

Observation 01e3f105-b33a-4198-bc38-7a171ce04dca · outbound

This paper cites In Proceedings of the ACM on Web Conference 2024, 3679–3689.

Knowledge is Power: Harnessing Large Language Models for Enhanced Cognitive Diagnosis In Proceedings of the ACM on Web Conference 2024, 3679–3689

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T18:53:06.850095Z

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=pdf_text observed=2026-08-08T18:53:06.638576Z digest=sha256:51760cdb0d50c9e709c643000f5833d42e7be3f72711342984bed832eef4add5

Observation a891e8a0-4c85-47b2-b3bd-e1d78e28824a · outbound

This paper cites In Companion Proceedings of the ACM on Web Conference 2024, 1726–1732.

Knowledge is Power: Harnessing Large Language Models for Enhanced Cognitive Diagnosis In Companion Proceedings of the ACM on Web Conference 2024, 1726–1732

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T18:53:06.835123Z

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=pdf_text observed=2026-08-08T18:53:06.651248Z digest=sha256:879d0b5c367660e5e86d54407c419e66d788916258e0743601c28564029577b6

Observation de1cf958-fce2-4dfb-9548-5cc7361d11e5 · outbound

This paper cites Representation Learning with Contrastive Predictive Coding.

Knowledge is Power: Harnessing Large Language Models for Enhanced Cognitive Diagnosis Representation Learning with Contrastive Predictive Coding

Reference 2018

Resolution
unresolved
no resolver link, observed 2026-08-08T18:53:06.388953Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T18:53:06.388953Z digest=sha256:810078001643403c100e616e2e74281351e96f2f976bbd366c83c3c7528a5e62

Observation d6ecae17-b101-460e-ba1a-8718a18b8b95 · outbound

This paper cites In 2020 IEEE International Conference on Data Mining (ICDM), 42–51.

Knowledge is Power: Harnessing Large Language Models for Enhanced Cognitive Diagnosis In 2020 IEEE International Conference on Data Mining (ICDM), 42–51

Reference 2020

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T18:53:06.902452Z

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=pdf_text observed=2026-08-08T18:53:06.331266Z digest=sha256:05ce483ad1bdbd880d0c9c3bf8ebdc7f4343974933a3db7a02a68f7f4f43de4b

Observation fa8bb965-b276-48bc-beea-c80871310c6e · outbound

This paper cites Personality-aware Student Simulation for Conversational Intelligent Tutoring Systems.

Knowledge is Power: Harnessing Large Language Models for Enhanced Cognitive Diagnosis Personality-aware Student Simulation for Conversational Intelligent Tutoring Systems

Reference 2021

Resolution
unresolved
no resolver link, observed 2026-08-08T18:53:06.351671Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T18:53:06.351671Z digest=sha256:ed3f510aee85c844d75cd76084c95497978e6e9fb452682355c2b35fb23977ad

Observation 71af0949-c4f7-4d7c-a180-ac571998e4f3 · outbound

This paper cites In Companion Proceedings of the ACM Web Conference 2023, 1014–1019.

Knowledge is Power: Harnessing Large Language Models for Enhanced Cognitive Diagnosis In Companion Proceedings of the ACM Web Conference 2023, 1014–1019

Reference 2023

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T18:53:06.880897Z

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=pdf_text observed=2026-08-08T18:53:06.336904Z digest=sha256:f0e714c7c0d0cff3e2ca9ac306baa55557e98e53479fe49c031abd54e83b10b2

Observation 2d5b4214-4bca-4119-abc0-65fe28839757 · outbound

This paper cites AutoGeo: Automating Geometric Image Dataset Creation for Enhanced Geometry Understanding.

Knowledge is Power: Harnessing Large Language Models for Enhanced Cognitive Diagnosis AutoGeo: Automating Geometric Image Dataset Creation for Enhanced Geometry Understanding

Reference 2024

Resolution
unresolved
no resolver link, observed 2026-08-08T18:53:06.341640Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T18:53:06.341640Z digest=sha256:e89cd900ecad6822e3ca772ec8920ee35db632ad851004b6aadc21611cd31426

Observation 5af9f75e-3171-4a26-bd21-bb0e06832704 · outbound

This paper cites User Behavior Simulation with Large Language Model based Agents.

Knowledge is Power: Harnessing Large Language Models for Enhanced Cognitive Diagnosis User Behavior Simulation with Large Language Model based Agents

Reference 6161

Resolution
unresolved
no resolver link, observed 2026-08-08T18:53:06.444074Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T18:53:06.444074Z digest=sha256:66d3d2fc5c7c796e524e8b382e0a22af6c7e31b7ad2ca5a7a8972fec4d5d8d00

Pith citing papers

No inbound Pith citation observations are available.