Paper Citation Record · LEDGER

Using Large Language Models to Assess Teachers' Pedagogical Content Knowledge

As of 18 August 2026, this Paper Citation Record lists 21 of 21 outbound references and 0 inbound Pith citation observations for arXiv:2505.19266.

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

pith.paper-citation-record.v1
2505.19266 v1

Coverage vector

measured 21 of 21 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:21:11.849633Z

measured 21 of 21 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+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

21 of 21 outbound references displayed

verified exact0
verified fuzzy17
unresolved2
parse uncertain0
malformed identifier0
metadata mismatch2

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 561025d5-d2d3-4385-b3b2-b0f94e890ced · outbound

This paper cites Rank-Then-Score: Enhancing Large Language Models for Automated Essay Scoring.

Using Large Language Models to Assess Teachers' Pedagogical Content Knowledge Rank-Then-Score: Enhancing Large Language Models for Automated Essay Scoring

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-07T14:21:10.140049Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ed840f21-a508-4e4d-b14f-d763253b41ae · outbound

This paper cites Research in Science & Technological Education34(2), 237–251 (2016).

Using Large Language Models to Assess Teachers' Pedagogical Content Knowledge Research in Science & Technological Education34(2), 237–251 (2016)

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:21:14.089176Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation e790c418-95c9-465e-a4f5-147012e47731 · outbound

This paper cites Teaching and teacher education34, 12–25 (2013).

Using Large Language Models to Assess Teachers' Pedagogical Content Knowledge Teaching and teacher education34, 12–25 (2013)

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:21:14.009239Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation cb92f7cb-18bd-4655-904f-23c71e59fff2 · outbound

This paper cites Using GPT-4 to Augment Unbalanced Data for Automatic Scoring.

Using Large Language Models to Assess Teachers' Pedagogical Content Knowledge Using GPT-4 to Augment Unbalanced Data for Automatic Scoring

Reference 4

Resolution: metadata mismatch; local_arxiv, observed 2026-08-07T14:21:12.382541Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 0ff3ce54-623b-4235-9f78-34ac66da6c35 · outbound

This paper cites In: JSM Proceedings (2014).

Using Large Language Models to Assess Teachers' Pedagogical Content Knowledge In: JSM Proceedings (2014)

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:21:13.874609Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 076e9e72-2622-488c-8670-51c123ef9bb6 · outbound

This paper cites Educational Measurement: Issues and Practice23(1), 17–27 (2004).

Using Large Language Models to Assess Teachers' Pedagogical Content Knowledge Educational Measurement: Issues and Practice23(1), 17–27 (2004)

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:21:13.793853Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 9f443f80-08a7-4e25-88b4-f4a5b9af271d · outbound

This paper cites Linguistic Research36 (2019).

Using Large Language Models to Assess Teachers' Pedagogical Content Knowledge Linguistic Research36 (2019)

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:21:13.735182Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 13e668ac-9cfe-4cd2-b0e8-70e936c34809 · outbound

This paper cites Studies in science education45(2), 169–204 (2009).

Using Large Language Models to Assess Teachers' Pedagogical Content Knowledge Studies in science education45(2), 169–204 (2009)

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:21:13.646680Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 1556c5cc-7fc4-4952-85f9-efdf7a3516f5 · outbound

This paper cites Computers and Education: Artificial Intelligence6, 100210 (2024).

Using Large Language Models to Assess Teachers' Pedagogical Content Knowledge Computers and Education: Artificial Intelligence6, 100210 (2024)

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:21:13.567093Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation a202c8b1-0eb8-4605-9e71-a46eb74a5f14 · outbound

This paper cites School Science and Mathematics107(2), 52–60 (2007).

Using Large Language Models to Assess Teachers' Pedagogical Content Knowledge School Science and Mathematics107(2), 52–60 (2007)

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:21:13.460099Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 47cb9aa3-01db-4763-b589-645d1aeb8e1d · outbound

This paper cites Computers and Education: Artificial Intelligence 6, 100213 (2024).

Using Large Language Models to Assess Teachers' Pedagogical Content Knowledge Computers and Education: Artificial Intelligence 6, 100213 (2024)

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:21:13.379262Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation ea094b35-4ed1-4e4a-b9cc-d9cb9865cf11 · outbound

This paper cites ETS Research Report Series 1984(1), i–55 (1984).

Using Large Language Models to Assess Teachers' Pedagogical Content Knowledge ETS Research Report Series 1984(1), i–55 (1984)

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:21:13.256227Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 0f266680-28ad-49ab-a730-97b498e311c4 · outbound

This paper cites Language Testing41(3), 606–626 (2024).

Using Large Language Models to Assess Teachers' Pedagogical Content Knowledge Language Testing41(3), 606–626 (2024)

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:21:13.202656Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 61e189b2-b04a-4be3-b773-d3ef3b27a1a0 · outbound

This paper cites Research in Science Education 48, 549–573 (2018).

Using Large Language Models to Assess Teachers' Pedagogical Content Knowledge Research in Science Education 48, 549–573 (2018)

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:21:13.095109Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation b5199ff3-b676-4342-a000-8804577a18a8 · outbound

This paper cites European Journal of Science and Mathematics Education 1(2), 84–105 (2013).

Using Large Language Models to Assess Teachers' Pedagogical Content Knowledge European Journal of Science and Mathematics Education 1(2), 84–105 (2013)

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:21:12.966924Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 83aa974e-2270-42f2-8216-799a94042dc5 · outbound

This paper cites In: Frontiers in Education.

Using Large Language Models to Assess Teachers' Pedagogical Content Knowledge In: Frontiers in Education

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:21:12.885748Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 902dc6f0-4352-43c8-8c1a-eeb1812a5898 · outbound

This paper cites Technology, Knowledge and Learning pp.

Using Large Language Models to Assess Teachers' Pedagogical Content Knowledge Technology, Knowledge and Learning pp

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:21:12.747509Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 7b4afa4a-6b0e-48ce-8f7c-953c61f652ab · outbound

This paper cites Fine-tuning ChatGPT for Automatic Scoring of Written Scientific Explanations in Chinese.

Using Large Language Models to Assess Teachers' Pedagogical Content Knowledge Fine-tuning ChatGPT for Automatic Scoring of Written Scientific Explanations in Chinese

Reference 18

Resolution: metadata mismatch; local_arxiv, observed 2026-08-07T14:21:12.145354Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 3a95a5cf-5fb1-44f7-8bec-850de0e6fdf6 · outbound

This paper cites Studies in Educational Evaluation67, 100916 (2020).

Using Large Language Models to Assess Teachers' Pedagogical Content Knowledge Studies in Educational Evaluation67, 100916 (2020)

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-07T14:21:11.570977Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 451d5acd-3004-4923-aa80-036e89dc1ba0 · outbound

This paper cites In: Fron- tiers in Education.

Using Large Language Models to Assess Teachers' Pedagogical Content Knowledge In: Fron- tiers in Education

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:21:12.698387Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation afa799af-097c-443c-b0d9-9d62d61d7ed1 · outbound

This paper cites Journal of Sci- ence Education and Technology30, 361–379 (2021).

Using Large Language Models to Assess Teachers' Pedagogical Content Knowledge Journal of Sci- ence Education and Technology30, 361–379 (2021)

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:21:12.605870Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Pith citing papers

No inbound Pith citation observations are available.