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Paper Citation Record · LEDGER

Adapting Large Language Models for Education: Foundational Capabilities, Potentials, and Challenges

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2401.08664.

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

pith.paper-citation-record.v1
2401.08664 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T04:34:36.476464Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T13:28:14.513354Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation b4fd8cd9-4562-4de0-9734-3562605349dc · inbound

ROSE: A Reward-Oriented Data Selection Framework for LLM Task-Specific Instruction Tuning cites this paper.

ROSE: A Reward-Oriented Data Selection Framework for LLM Task-Specific Instruction Tuning Adapting Large Language Models for Education: Foundational Capabilities, Potentials, and Challenges

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-12T05:13:41.486398Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T05:13:41.486398Z digest=sha256:fc89839b08e31feeb79b5324fd42e5832ef8b6383486969d3966570226780729

Observation 717cf096-111c-4ef5-b5ee-8bb09a8b9fbf · inbound

Using Large Language Models for education managements in Vietnamese with low resources cites this paper.

Using Large Language Models for education managements in Vietnamese with low resources Adapting Large Language Models for Education: Foundational Capabilities, Potentials, and Challenges

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-10T14:44:27.134786Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T14:44:27.134786Z digest=sha256:b19681fb624f584d2d9f91ca8f47e380b57a649224fc77bae8e4cdb0f815a315

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

Knowledge is Power: Harnessing Large Language Models for Enhanced Cognitive Diagnosis cites this paper.

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:b61341e686c1319cd26689bcbd67db39682e5f6d051084b2f0250130cfb78a2e

Observation 9432c64d-d239-419a-a411-46a2f1d0fe41 · inbound

AiRacleX: Automated Detection of Price Oracle Manipulations via LLM-Driven Knowledge Mining and Prompt Generation cites this paper.

AiRacleX: Automated Detection of Price Oracle Manipulations via LLM-Driven Knowledge Mining and Prompt Generation Adapting Large Language Models for Education: Foundational Capabilities, Potentials, and Challenges

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-08T15:48:59.311770Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T15:48:59.311770Z digest=sha256:6142d46568daefd6477c4d752c53e344627872b720654fe0205cd26fd5230d35

Observation d0b1b6c9-23b9-4984-8fd0-498336f87cd6 · inbound

Multi-agents based User Values Mining for Recommendation cites this paper.

Multi-agents based User Values Mining for Recommendation Adapting Large Language Models for Education: Foundational Capabilities, Potentials, and Challenges

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-16T04:34:36.476464Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:34:36.476464Z digest=sha256:e1f310201ff4fb3bcc251c6b8eee6a4ca48be69cc01b40a81f3ad44baf5d1888

Observation e7408c6e-8f57-4ff6-a473-b7549a3bd65c · inbound

CoGrader: Transforming Instructors' Assessment of Project Reports through Collaborative LLM Integration cites this paper.

CoGrader: Transforming Instructors' Assessment of Project Reports through Collaborative LLM Integration Adapting Large Language Models for Education: Foundational Capabilities, Potentials, and Challenges

Reference 45

Resolution
verified exact
local_arxiv, observed 2026-08-06T13:28:14.517903Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T13:28:14.301531Z digest=sha256:85b6921d6960c249817d71f044efaf9b43c050721cfee0fb299d7f9261760f5d