Paper Citation Record · LEDGER

VArsity: Can Large Language Models Keep Power Engineering Students in Phase?

As of 14 August 2026, this Paper Citation Record lists 39 of 39 outbound references and 0 inbound Pith citation observations for arXiv:2507.20995.

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

pith.paper-citation-record.v1
2507.20995 v1

Coverage vector

measured 39 of 39 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T13:10:48.893093Z

measured 39 of 39 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+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 exact1
verified fuzzy28
unresolved10
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation c399e148-59d4-4244-b237-3bbfddd30a3a · outbound

This paper cites Exploring the Capabilities and Limitations of Large Language Models in the Electric Energy Sector,.

VArsity: Can Large Language Models Keep Power Engineering Students in Phase? Exploring the Capabilities and Limitations of Large Language Models in the Electric Energy Sector,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:10:56.473312Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 031e7d60-d0bb-4742-89d7-ae15c84991af · outbound

This paper cites Large Language Models Challenge the Future of Higher Education,.

VArsity: Can Large Language Models Keep Power Engineering Students in Phase? Large Language Models Challenge the Future of Higher Education,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:10:56.248896Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 306051c8-8608-4365-896a-19b9a9a4da06 · outbound

This paper cites ChatGPT for Good? On Opportunities and Challenges of Large Language Models for Education,.

VArsity: Can Large Language Models Keep Power Engineering Students in Phase? ChatGPT for Good? On Opportunities and Challenges of Large Language Models for Education,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:10:56.014582Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 26bf4238-becd-43be-9de7-da7f3d87a9b4 · outbound

This paper cites Examining the Potential and Pitfalls of ChatGPT in Science and Engineering Problem-Solving,.

VArsity: Can Large Language Models Keep Power Engineering Students in Phase? Examining the Potential and Pitfalls of ChatGPT in Science and Engineering Problem-Solving,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:10:55.847044Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation e34b5869-58d2-4d90-ba23-c8250f91cccb · outbound

This paper cites DualSchool: How Reliable are LLMs for Optimization Education?.

VArsity: Can Large Language Models Keep Power Engineering Students in Phase? DualSchool: How Reliable are LLMs for Optimization Education?

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-06T13:10:46.717855Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 17035d1f-e229-4cb7-8a66-a947fda985d2 · outbound

This paper cites Assessing GPT Performance in a Proof-Based University-Level Course Under Blind Grading.

VArsity: Can Large Language Models Keep Power Engineering Students in Phase? Assessing GPT Performance in a Proof-Based University-Level Course Under Blind Grading

Reference 6

Resolution: verified exact; local_arxiv, observed 2026-08-06T13:10:49.023895Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 4ada312e-2983-4b69-85f2-6b96d1183e7d · outbound

This paper cites Large Language Models in Power Engineering Education: A Case Study on Solving Optimal Dispatch Coursework Problems,.

VArsity: Can Large Language Models Keep Power Engineering Students in Phase? Large Language Models in Power Engineering Education: A Case Study on Solving Optimal Dispatch Coursework Problems,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:10:55.705760Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 79273046-ba82-4a65-b69d-287601561bce · outbound

This paper cites Specifically, the power factor is 10/ √ 105 + 52 = 0 .8944 lagging.

VArsity: Can Large Language Models Keep Power Engineering Students in Phase? Specifically, the power factor is 10/ √ 105 + 52 = 0 .8944 lagging

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:10:55.513848Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 75ff37a4-f2f0-4359-b007-d7074cdce81e · outbound

This paper cites an unresolved cited work.

VArsity: Can Large Language Models Keep Power Engineering Students in Phase? Unresolved cited work

Reference 9

Resolution: unresolved; raw_fallback, observed 2026-08-06T13:10:55.365638Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 9284f9e2-b9db-4d63-b164-c8b06c66fcd2 · outbound

This paper cites The correct expression is Z = |V |2/S∗.

VArsity: Can Large Language Models Keep Power Engineering Students in Phase? The correct expression is Z = |V |2/S∗

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:10:55.114041Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 11a49eaa-90e0-4347-a8d9-c7806b24a776 · outbound

This paper cites Additionally, we do not necessarily want the fixed capacitor to supply 5 MV Ar.

VArsity: Can Large Language Models Keep Power Engineering Students in Phase? Additionally, we do not necessarily want the fixed capacitor to supply 5 MV Ar

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:10:54.802814Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation a29667f6-be20-4229-8152-440e7d6ed3de · outbound

This paper cites an unresolved cited work.

VArsity: Can Large Language Models Keep Power Engineering Students in Phase? Unresolved cited work

Reference 12

Resolution: unresolved; raw_fallback, observed 2026-08-06T13:10:54.498280Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation cc350051-e1c9-404b-b3b2-ea628bbaa76c · outbound

This paper cites We can choose values that result in a higher power factor during all time periods.

VArsity: Can Large Language Models Keep Power Engineering Students in Phase? We can choose values that result in a higher power factor during all time periods

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:10:54.167559Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 6301f9f6-1909-4e62-a394-dfee9f9afe91 · outbound

This paper cites The load impedance during the afternoon should be Z = (10 × 103)2/(32 × 106 + j24 × 106)∗ = 2 + j1.5 Ω.

VArsity: Can Large Language Models Keep Power Engineering Students in Phase? The load impedance during the afternoon should be Z = (10 × 103)2/(32 × 106 + j24 × 106)∗ = 2 + j1.5 Ω

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:10:53.880092Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 7c2c9ff9-e1d8-4b65-a05c-6c43c2509254 · outbound

This paper cites The value should be (10 × 103)2/ − 24 × 106 = −4.1667 Ω.

VArsity: Can Large Language Models Keep Power Engineering Students in Phase? The value should be (10 × 103)2/ − 24 × 106 = −4.1667 Ω

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:10:53.676732Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation f98ed947-42ee-4243-b187-aa780c82d829 · outbound

This paper cites However, it is not correct to directly subtract the reactances since the capacitors are connected in parallel.

VArsity: Can Large Language Models Keep Power Engineering Students in Phase? However, it is not correct to directly subtract the reactances since the capacitors are connected in parallel

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:10:53.529330Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 998a3dee-edbf-4d59-b43a-0d7716ebdca4 · outbound

This paper cites The choice of the fixed capacitor’s reactance should be cognizant of the resulting deviation in the power factor during the evening period.

VArsity: Can Large Language Models Keep Power Engineering Students in Phase? The choice of the fixed capacitor’s reactance should be cognizant of the resulting deviation in the power factor during the evening period

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:10:53.299029Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 633634e0-f882-4ef3-8f8b-9a4acf50be3a · outbound

This paper cites 7 1⃝ 2⃝ 3⃝ P3+jQ3=−1.50−j0.75 R12+jX12= 0 +j0.20 R23+jX23= 0 +j0.10 R13+jX13= 0.10 +j0.20 V1∠θ1 P1+jQ1 V2∠θ2 P2+jQ2 Fig.

VArsity: Can Large Language Models Keep Power Engineering Students in Phase? 7 1⃝ 2⃝ 3⃝ P3+jQ3=−1.50−j0.75 R12+jX12= 0 +j0.20 R23+jX23= 0 +j0.10 R13+jX13= 0.10 +j0.20 V1∠θ1 P1+jQ1 V2∠θ2 P2+jQ2 Fig

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:10:53.113068Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation b166f543-1584-48bd-8e9f-6c5dc7dbc189 · outbound

This paper cites an unresolved cited work.

VArsity: Can Large Language Models Keep Power Engineering Students in Phase? Unresolved cited work

Reference 19

Resolution: unresolved; raw_fallback, observed 2026-08-06T13:10:52.936535Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 2bd88378-d31e-4ddd-a361-b4fa6a23ab7e · outbound

This paper cites an unresolved cited work.

VArsity: Can Large Language Models Keep Power Engineering Students in Phase? Unresolved cited work

Reference 20

Resolution: unresolved; raw_fallback, observed 2026-08-06T13:10:52.749906Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 5311d72c-1342-47d0-870b-06ffb77a4a77 · outbound

This paper cites Rather, the voltage magnitude V2 is specified and the active power, while not specified explicitly, is equal to the active power at bus 1.

VArsity: Can Large Language Models Keep Power Engineering Students in Phase? Rather, the voltage magnitude V2 is specified and the active power, while not specified explicitly, is equal to the active power at bus 1

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:10:52.514621Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 2030b52e-7cf6-4b32-a6a0-155784acc14e · outbound

This paper cites First, these expressions are missing the terms corresponding to the power flowing on the line from bus 2 to bus 3.

VArsity: Can Large Language Models Keep Power Engineering Students in Phase? First, these expressions are missing the terms corresponding to the power flowing on the line from bus 2 to bus 3

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:10:52.337586Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 56c4ec58-c751-4f55-b884-98018862b4a9 · outbound

This paper cites First, the expressions for active and reactive power balance at bus 3 are missing the specified values for P3 = −1.50 and Q3 = −0.75.

VArsity: Can Large Language Models Keep Power Engineering Students in Phase? First, the expressions for active and reactive power balance at bus 3 are missing the specified values for P3 = −1.50 and Q3 = −0.75

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:10:52.008603Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation ae943cdc-401d-4090-9c84-148127d2f87c · outbound

This paper cites an unresolved cited work.

VArsity: Can Large Language Models Keep Power Engineering Students in Phase? Unresolved cited work

Reference 24

Resolution: unresolved; raw_fallback, observed 2026-08-06T13:10:51.219844Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 2cc77cdd-f48f-4481-ba9b-e12915d6c63f · outbound

This paper cites Actually, this whole portion of the response is not needed.

VArsity: Can Large Language Models Keep Power Engineering Students in Phase? Actually, this whole portion of the response is not needed

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:10:50.922799Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation aa3f2cfd-80e2-427d-b288-37487b778ccb · outbound

This paper cites Finally, the formulation (if appropriately written) should account for line losses.

VArsity: Can Large Language Models Keep Power Engineering Students in Phase? Finally, the formulation (if appropriately written) should account for line losses

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:10:50.802100Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 37078a0f-181c-4380-9cd0-f8883f66681d · outbound

This paper cites Response.

VArsity: Can Large Language Models Keep Power Engineering Students in Phase? Response

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:10:50.703165Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 766becdb-d849-46a9-b34a-f300169b1f2f · outbound

This paper cites • Inductor: QL = 10000 XL , (positive → lagging) • Capacitor: QC = − 10000 XC , (QC < 0) (negative → leading).

VArsity: Can Large Language Models Keep Power Engineering Students in Phase? • Inductor: QL = 10000 XL , (positive → lagging) • Capacitor: QC = − 10000 XC , (QC < 0) (negative → leading)

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:10:50.508140Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation c9aff4e9-de5d-4959-9306-5f772c0cde60 · outbound

This paper cites Because the inductor is always in circuit but the capacitor can be switched, the reactive power seen by the source is Qs = ( Qd + QL, S open, Qd + QL + QC , S closed.

VArsity: Can Large Language Models Keep Power Engineering Students in Phase? Because the inductor is always in circuit but the capacitor can be switched, the reactive power seen by the source is Qs = ( Qd + QL, S open, Qd + QL + QC , S closed

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:10:50.389596Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation c72da179-b6ac-4a82-bb7a-20028db04e17 · outbound

This paper cites Because the two straight-line functions are parallel, the optimal choice is obtained when.

VArsity: Can Large Language Models Keep Power Engineering Students in Phase? Because the two straight-line functions are parallel, the optimal choice is obtained when

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:10:50.213918Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation e104fa93-d474-4a55-bfaf-7b07b0af2bba · outbound

This paper cites an unresolved cited work.

VArsity: Can Large Language Models Keep Power Engineering Students in Phase? Unresolved cited work

Reference 31

Resolution: unresolved; raw_fallback, observed 2026-08-06T13:10:50.150028Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 2f9c7c3a-d174-4b86-bda1-71645c67f8dc · outbound

This paper cites Carrying this out (or by a quick optimisation sweep) gives A = 12 V Ar, B = 48 V Ar.

VArsity: Can Large Language Models Keep Power Engineering Students in Phase? Carrying this out (or by a quick optimisation sweep) gives A = 12 V Ar, B = 48 V Ar

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:10:50.011102Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 8fcfecef-b72c-4604-8273-951fcf079e62 · outbound

This paper cites an unresolved cited work.

VArsity: Can Large Language Models Keep Power Engineering Students in Phase? Unresolved cited work

Reference 33

Resolution: unresolved; raw_fallback, observed 2026-08-06T13:10:49.881103Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 362df8e9-0275-431a-8dba-b4199e25ab16 · outbound

This paper cites an unresolved cited work.

VArsity: Can Large Language Models Keep Power Engineering Students in Phase? Unresolved cited work

Reference 34

Resolution: unresolved; raw_fallback, observed 2026-08-06T13:10:49.825573Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 55e0b84e-c91f-4934-acd1-70354fcb92ed · outbound

This paper cites anywhere from -36 VAr to +12 VAr) leave the capacitor disconnected (switch open).

VArsity: Can Large Language Models Keep Power Engineering Students in Phase? anywhere from -36 VAr to +12 VAr) leave the capacitor disconnected (switch open)

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:10:49.625884Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 5b97c7fa-3b7c-4e59-922a-8941eeff9cb8 · outbound

This paper cites from +12 VAr up to +60 VAr) connect the capacitor into the circuit (switch closed).

VArsity: Can Large Language Models Keep Power Engineering Students in Phase? from +12 VAr up to +60 VAr) connect the capacitor into the circuit (switch closed)

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:10:49.535294Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation cc0d2c4a-2b46-4d80-89c6-0d4174d6bbdc · outbound

This paper cites an unresolved cited work.

VArsity: Can Large Language Models Keep Power Engineering Students in Phase? Unresolved cited work

Reference 37

Resolution: unresolved; raw_fallback, observed 2026-08-06T13:10:49.370446Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 0f361ad6-2b81-4ff2-8fd3-2b117b162d46 · outbound

This paper cites For this problem, o3 took an interesting approach during extensive chain-of- thought reasoning, which lasted for approximately 2.5 minutes.

VArsity: Can Large Language Models Keep Power Engineering Students in Phase? For this problem, o3 took an interesting approach during extensive chain-of- thought reasoning, which lasted for approximately 2.5 minutes

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:10:49.287824Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 650e0dde-5b93-4887-b0dd-b10197b847a2 · outbound

This paper cites Namely, o3 was able to immediately formulate the correct nodal admittance matrix: Response.

VArsity: Can Large Language Models Keep Power Engineering Students in Phase? Namely, o3 was able to immediately formulate the correct nodal admittance matrix: Response

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:10:49.151523Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Pith citing papers

No inbound Pith citation observations are available.