Paper Citation Record · LEDGER

A Theoretical Framework for Virtual Power Plant Integration with Gigawatt-Scale AI Data Centers: Multi-Timescale Control and Stability Analysis

As of 9 August 2026, this Paper Citation Record lists 21 of 21 outbound references and 0 inbound Pith citation observations for arXiv:2506.17284.

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

pith.paper-citation-record.v1
2506.17284 v1

Coverage vector

measured 21 of 21 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T00:49:06.771750Z

measured 21 of 21 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+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
unresolved4
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 183f868f-6016-48d4-8ac4-8cabb4729a54 · outbound

This paper cites AI Load Dynamics--A Power Electronics Perspective.

A Theoretical Framework for Virtual Power Plant Integration with Gigawatt-Scale AI Data Centers: Multi-Timescale Control and Stability Analysis AI Load Dynamics--A Power Electronics Perspective

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-07T00:49:04.268971Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7d5fb9be-a54a-4977-8991-14366f4b3f37 · outbound

This paper cites Data Center Model for Transient Stability Analysis of Power Systems.

A Theoretical Framework for Virtual Power Plant Integration with Gigawatt-Scale AI Data Centers: Multi-Timescale Control and Stability Analysis Data Center Model for Transient Stability Analysis of Power Systems

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-07T00:49:04.443165Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2f8aaa7c-0efc-4453-9561-3e2ca734c3a1 · outbound

This paper cites Data centres and data transmission networks.

A Theoretical Framework for Virtual Power Plant Integration with Gigawatt-Scale AI Data Centers: Multi-Timescale Control and Stability Analysis Data centres and data transmission networks

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:49:11.785229Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation e631ee9f-5737-480b-9447-93039dee33c7 · outbound

This paper cites The era of flat power demand is over.

A Theoretical Framework for Virtual Power Plant Integration with Gigawatt-Scale AI Data Centers: Multi-Timescale Control and Stability Analysis The era of flat power demand is over

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:49:11.470812Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation c2c80e5d-0fe1-48f1-aaa2-09ba9a10d973 · outbound

This paper cites Nvidia dgx superpod technical specifications.

A Theoretical Framework for Virtual Power Plant Integration with Gigawatt-Scale AI Data Centers: Multi-Timescale Control and Stability Analysis Nvidia dgx superpod technical specifications

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:49:11.196445Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation bc0fb110-7a85-4fe6-9578-757a23ec1b32 · outbound

This paper cites Nvidia gb200 nvl72 system architecture.

A Theoretical Framework for Virtual Power Plant Integration with Gigawatt-Scale AI Data Centers: Multi-Timescale Control and Stability Analysis Nvidia gb200 nvl72 system architecture

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:49:10.954823Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 7bb9fc9b-7366-470c-a145-3e8e8b01ac33 · outbound

This paper cites Cloud tpu v5e and v5p technical specifications.

A Theoretical Framework for Virtual Power Plant Integration with Gigawatt-Scale AI Data Centers: Multi-Timescale Control and Stability Analysis Cloud tpu v5e and v5p technical specifications

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:49:10.677991Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 8296ccb7-990e-4afc-9bfb-99345716ec3d · outbound

This paper cites Aws trainium2 ultraserver architecture guide.

A Theoretical Framework for Virtual Power Plant Integration with Gigawatt-Scale AI Data Centers: Multi-Timescale Control and Stability Analysis Aws trainium2 ultraserver architecture guide

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:49:10.379807Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 1f03636a-8306-4e6a-8a7f-5478abcf9abc · outbound

This paper cites Azure nd gb200 v6 series virtual machines.

A Theoretical Framework for Virtual Power Plant Integration with Gigawatt-Scale AI Data Centers: Multi-Timescale Control and Stability Analysis Azure nd gb200 v6 series virtual machines

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:49:10.119408Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 3604126f-8cd9-4d06-aa8e-d2bf6c2c44c4 · outbound

This paper cites Zhang et al.

A Theoretical Framework for Virtual Power Plant Integration with Gigawatt-Scale AI Data Centers: Multi-Timescale Control and Stability Analysis Zhang et al

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:49:09.883163Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 3303c6b5-0747-41c6-bda4-bdc48b9b256b · outbound

This paper cites 2024 state of reliability report.

A Theoretical Framework for Virtual Power Plant Integration with Gigawatt-Scale AI Data Centers: Multi-Timescale Control and Stability Analysis 2024 state of reliability report

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:49:09.605863Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 8debf665-a37c-4c5c-b886-ebb302eb0b30 · outbound

This paper cites Chen et al.

A Theoretical Framework for Virtual Power Plant Integration with Gigawatt-Scale AI Data Centers: Multi-Timescale Control and Stability Analysis Chen et al

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:49:09.292502Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 49c13940-fdb4-4cd9-acc3-8c9ca58eaf30 · outbound

This paper cites Universal Checkpointing: A Flexible and Efficient Distributed Checkpointing System for Large-Scale DNN Training with Reconfigurable Parallelis.

A Theoretical Framework for Virtual Power Plant Integration with Gigawatt-Scale AI Data Centers: Multi-Timescale Control and Stability Analysis Universal Checkpointing: A Flexible and Efficient Distributed Checkpointing System for Large-Scale DNN Training with Reconfigurable Parallelis

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-07T00:49:06.140475Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 38acd300-4d38-41e0-8b3f-23f247ad5591 · outbound

This paper cites He et al.

A Theoretical Framework for Virtual Power Plant Integration with Gigawatt-Scale AI Data Centers: Multi-Timescale Control and Stability Analysis He et al

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:49:08.963238Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 9733c8c3-2c08-4075-bfff-5244c0c6336e · outbound

This paper cites Ni et al.

A Theoretical Framework for Virtual Power Plant Integration with Gigawatt-Scale AI Data Centers: Multi-Timescale Control and Stability Analysis Ni et al

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:49:08.625711Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation a41a11c9-ec8c-46a8-a5a2-df4127fa4609 · outbound

This paper cites an unresolved cited work.

A Theoretical Framework for Virtual Power Plant Integration with Gigawatt-Scale AI Data Centers: Multi-Timescale Control and Stability Analysis Unresolved cited work

Reference 16

Resolution: unresolved; raw_fallback, observed 2026-08-07T00:49:08.393131Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation f572ccdc-0797-48c2-9173-7784569277f1 · outbound

This paper cites Multi-frequency stability of converter-based modern power systems.

A Theoretical Framework for Virtual Power Plant Integration with Gigawatt-Scale AI Data Centers: Multi-Timescale Control and Stability Analysis Multi-frequency stability of converter-based modern power systems

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:49:08.123701Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation edcf0400-2d92-478b-9e75-f3e4533134b9 · outbound

This paper cites Kundur et al.

A Theoretical Framework for Virtual Power Plant Integration with Gigawatt-Scale AI Data Centers: Multi-Timescale Control and Stability Analysis Kundur et al

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:49:07.854665Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation e6e0305b-63a2-41e0-9198-d2dfe776ea49 · outbound

This paper cites Hatziargyriou et al.

A Theoretical Framework for Virtual Power Plant Integration with Gigawatt-Scale AI Data Centers: Multi-Timescale Control and Stability Analysis Hatziargyriou et al

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:49:07.565712Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation a30f46e8-4fda-48eb-bd97-f9c60d5acea8 · outbound

This paper cites Milano, F.

A Theoretical Framework for Virtual Power Plant Integration with Gigawatt-Scale AI Data Centers: Multi-Timescale Control and Stability Analysis Milano, F

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:49:07.254826Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 347aafe7-63ba-4b2d-b504-6a252792cba6 · outbound

This paper cites Kroposki et al.

A Theoretical Framework for Virtual Power Plant Integration with Gigawatt-Scale AI Data Centers: Multi-Timescale Control and Stability Analysis Kroposki et al

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:49:07.028281Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Pith citing papers

No inbound Pith citation observations are available.