Paper Citation Record · LEDGER

Exploring the potential of ChatGPT for feedback and evaluation in experimental physics

As of 18 August 2026, this Paper Citation Record lists 30 of 30 outbound references and 0 inbound Pith citation observations for arXiv:2603.20412.

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

pith.paper-citation-record.v1
2603.20412 v2

Coverage vector

measured 30 of 30 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-13T21:36:14.566306Z

measured 30 of 30 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+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

30 of 30 outbound references displayed

verified exact2
verified fuzzy0
unresolved27
parse uncertain0
malformed identifier1
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 68795ab0-8999-4355-b6ca-ee558dece12f · outbound

This paper cites Zero duality gap in optimal power flow problem,.

Exploring the potential of ChatGPT for feedback and evaluation in experimental physics Zero duality gap in optimal power flow problem,

Reference 1

Resolution: unresolved; no resolver link, observed 2026-07-13T21:36:14.566306Z

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Unavailable: canonical work link unavailable.

Observation 10166680-4183-48fd-9859-933b8e960d04 · outbound

This paper cites A survey of relaxations and approximations of the power flow equations,.

Exploring the potential of ChatGPT for feedback and evaluation in experimental physics A survey of relaxations and approximations of the power flow equations,

Reference 2

Resolution: unresolved; no resolver link, observed 2026-07-13T21:36:14.566306Z

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Observation feb42fb8-78bd-4b0b-baab-214cdb6912df · outbound

This paper cites Radial distribution load flow using conic programming,.

Exploring the potential of ChatGPT for feedback and evaluation in experimental physics Radial distribution load flow using conic programming,

Reference 3

Resolution: unresolved; no resolver link, observed 2026-07-13T21:36:14.566306Z

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Observation 74cdcaef-35f2-4813-89a5-830588b46508 · outbound

This paper cites A survey on conic relaxations of optimal power flow problem,.

Exploring the potential of ChatGPT for feedback and evaluation in experimental physics A survey on conic relaxations of optimal power flow problem,

Reference 4

Resolution: unresolved; no resolver link, observed 2026-07-13T21:36:14.566306Z

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Observation 18ec08a3-5fa1-4f6b-95ef-04508517377b · outbound

This paper cites Inexact convex relaxations for ac optimal power flow: Towards ac feasibility,.

Exploring the potential of ChatGPT for feedback and evaluation in experimental physics Inexact convex relaxations for ac optimal power flow: Towards ac feasibility,

Reference 5

Resolution: unresolved; no resolver link, observed 2026-07-13T21:36:14.566306Z

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Observation 8d5ae4c6-e39c-4577-9d75-1c4cb9e45673 · outbound

This paper cites On the tightness of the lagrangian dual bound for alternating current optimal power flow,.

Exploring the potential of ChatGPT for feedback and evaluation in experimental physics On the tightness of the lagrangian dual bound for alternating current optimal power flow,

Reference 6

Resolution: unresolved; no resolver link, observed 2026-07-13T21:36:14.566306Z

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Observation ee1e90c6-7cd0-41d2-b224-a7377ab5d625 · outbound

This paper cites Strong socp relaxations for the optimal power flow problem,.

Exploring the potential of ChatGPT for feedback and evaluation in experimental physics Strong socp relaxations for the optimal power flow problem,

Reference 7

Resolution: unresolved; no resolver link, observed 2026-07-13T21:36:14.566306Z

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Observation 6dad6114-1c14-4e4c-be53-fad915095b46 · outbound

This paper cites Tight lp approximations for the optimal power flow problem,.

Exploring the potential of ChatGPT for feedback and evaluation in experimental physics Tight lp approximations for the optimal power flow problem,

Reference 8

Resolution: unresolved; no resolver link, observed 2026-07-13T21:36:14.566306Z

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Observation 4757a725-2104-4357-9188-b02cae762a61 · outbound

This paper cites Alternating direction augmented lagrangian methods for semidefinite programming,.

Exploring the potential of ChatGPT for feedback and evaluation in experimental physics Alternating direction augmented lagrangian methods for semidefinite programming,

Reference 9

Resolution: unresolved; no resolver link, observed 2026-07-13T21:36:14.566306Z

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Observation 288a91b5-641e-495a-bcfa-d70c3866cb58 · outbound

This paper cites Adaptive admm for dis- tributed ac optimal power flow,.

Exploring the potential of ChatGPT for feedback and evaluation in experimental physics Adaptive admm for dis- tributed ac optimal power flow,

Reference 10

Resolution: unresolved; no resolver link, observed 2026-07-13T21:36:14.566306Z

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Observation 82dc2d0c-f772-4f7c-b8df-a295cacb3a54 · outbound

This paper cites Pdlp: A practical first-order method for large-scale linear programming,.

Exploring the potential of ChatGPT for feedback and evaluation in experimental physics Pdlp: A practical first-order method for large-scale linear programming,

Reference 11

Resolution: unresolved; no resolver link, observed 2026-07-13T21:36:14.566306Z

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Observation 26172a59-0c19-471f-995c-e16052fd3fd1 · outbound

This paper cites Gpu-accelerated primal heuristics for mixed integer programming,.

Exploring the potential of ChatGPT for feedback and evaluation in experimental physics Gpu-accelerated primal heuristics for mixed integer programming,

Reference 12

Resolution: unresolved; no resolver link, observed 2026-07-13T21:36:14.566306Z

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Observation 16fd37ef-fabe-4bb2-913d-e64a9d7cda82 · outbound

This paper cites Concurrent crossover for pdhg,.

Exploring the potential of ChatGPT for feedback and evaluation in experimental physics Concurrent crossover for pdhg,

Reference 13

Resolution: unresolved; no resolver link, observed 2026-07-13T21:36:14.566306Z

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Observation 6dc44f22-8c09-451f-8c79-6bf583d2a032 · outbound

This paper cites Dual conic proxies for ac optimal power flow,.

Exploring the potential of ChatGPT for feedback and evaluation in experimental physics Dual conic proxies for ac optimal power flow,

Reference 14

Resolution: unresolved; no resolver link, observed 2026-07-13T21:36:14.566306Z

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Observation ab8376f9-5f3f-465c-95a6-843149f9aef0 · outbound

This paper cites Dual lagrangian learning for conic optimization,.

Exploring the potential of ChatGPT for feedback and evaluation in experimental physics Dual lagrangian learning for conic optimization,

Reference 15

Resolution: unresolved; no resolver link, observed 2026-07-13T21:36:14.566306Z

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Observation b566bcef-16aa-44cf-8aec-5cac340ead3a · outbound

This paper cites Conic optimization via operator splitting and homogeneous self-dual embedding,.

Exploring the potential of ChatGPT for feedback and evaluation in experimental physics Conic optimization via operator splitting and homogeneous self-dual embedding,

Reference 16

Resolution: unresolved; no resolver link, observed 2026-07-13T21:36:14.566306Z

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Observation 559c45d6-4dd9-476b-8440-7f9013d48541 · outbound

This paper cites Proportional–integral projected gradient method for conic optimization,.

Exploring the potential of ChatGPT for feedback and evaluation in experimental physics Proportional–integral projected gradient method for conic optimization,

Reference 17

Resolution: unresolved; no resolver link, observed 2026-07-13T21:36:14.566306Z

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Unavailable: canonical work link unavailable.

Observation 74de4e3e-f5ce-4fd3-ba2d-f3b5a8ca988a · outbound

This paper cites Leveraging gpu batching for scalable nonlinear programming through massive lagrangian decomposition,.

Exploring the potential of ChatGPT for feedback and evaluation in experimental physics Leveraging gpu batching for scalable nonlinear programming through massive lagrangian decomposition,

Reference 18

Resolution: verified exact; doi, observed 2026-07-13T21:39:56.585124Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 1c1ad52e-968e-4dd1-92dc-7b8e13652fbf · outbound

This paper cites Accelerated computation and tracking of ac optimal power flow solutions using gpus,.

Exploring the potential of ChatGPT for feedback and evaluation in experimental physics Accelerated computation and tracking of ac optimal power flow solutions using gpus,

Reference 19

Resolution: verified exact; arxiv_id, observed 2026-07-13T21:39:56.593559Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation dd47b719-c465-445e-a528-20de9dd6bbf7 · outbound

This paper cites Gpu-accelerated sequential quadratic programming algorithm for solving acopf,.

Exploring the potential of ChatGPT for feedback and evaluation in experimental physics Gpu-accelerated sequential quadratic programming algorithm for solving acopf,

Reference 20

Resolution: unresolved; no resolver link, observed 2026-07-13T21:36:14.566306Z

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Observation 90710590-eb1e-49d7-9822-465bb1dba0fe · outbound

This paper cites GPU-Accelerated DCOPF using Gradient-Based Optimization.

Exploring the potential of ChatGPT for feedback and evaluation in experimental physics GPU-Accelerated DCOPF using Gradient-Based Optimization

Reference 21

Resolution: unresolved; no resolver link, observed 2026-07-13T21:36:14.566306Z

Source-reported events for the cited work

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Observation 58fc9bdd-7839-4538-b488-a919ae348fbd · outbound

This paper cites Accurate and warm-startable linear cutting-plane relaxations for acopf,.

Exploring the potential of ChatGPT for feedback and evaluation in experimental physics Accurate and warm-startable linear cutting-plane relaxations for acopf,

Reference 22

Resolution: unresolved; no resolver link, observed 2026-07-13T21:36:14.566306Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 26eee305-62d9-44be-bae7-3757d1942eca · outbound

This paper cites Strong socp relaxations for the optimal power flow problem,.

Exploring the potential of ChatGPT for feedback and evaluation in experimental physics Strong socp relaxations for the optimal power flow problem,

Reference 23

Resolution: malformed identifier; no resolver link, observed 2026-07-13T21:36:14.566306Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0af1b07c-d663-45cf-9e28-7cc57d9827cd · outbound

This paper cites Mosek modeling cookbook,.

Exploring the potential of ChatGPT for feedback and evaluation in experimental physics Mosek modeling cookbook,

Reference 24

Resolution: unresolved; no resolver link, observed 2026-07-13T21:36:14.566306Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 02bc5261-cb5f-4cfe-a694-854ce705d88d · outbound

This paper cites The Power Grid Library for Benchmarking AC Optimal Power Flow Algorithms.

Exploring the potential of ChatGPT for feedback and evaluation in experimental physics The Power Grid Library for Benchmarking AC Optimal Power Flow Algorithms

Reference 25

Resolution: unresolved; no resolver link, observed 2026-07-13T21:36:14.566306Z

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Unavailable: canonical work link unavailable.

Observation ed51b18e-963d-4912-ba28-1244f1063ba8 · outbound

This paper cites Powermodels.jl: An open-source framework for exploring power flow formulations,.

Exploring the potential of ChatGPT for feedback and evaluation in experimental physics Powermodels.jl: An open-source framework for exploring power flow formulations,

Reference 26

Resolution: unresolved; no resolver link, observed 2026-07-13T21:36:14.566306Z

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Unavailable: canonical work link unavailable.

Observation 76361ba4-be9b-463c-aea6-4205a8c2b87f · outbound

This paper cites Jump: A mod- eling language for mathematical optimization,.

Exploring the potential of ChatGPT for feedback and evaluation in experimental physics Jump: A mod- eling language for mathematical optimization,

Reference 27

Resolution: unresolved; no resolver link, observed 2026-07-13T21:36:14.566306Z

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Unavailable: canonical work link unavailable.

Observation 8576b4f3-5a4b-4660-a99b-31191adf9688 · outbound

This paper cites Knitro: An integrated package for nonlinear optimization,.

Exploring the potential of ChatGPT for feedback and evaluation in experimental physics Knitro: An integrated package for nonlinear optimization,

Reference 28

Resolution: unresolved; no resolver link, observed 2026-07-13T21:36:14.566306Z

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Observation 7a3fc8db-924e-4a90-ae9b-e2f46ebd5d79 · outbound

This paper cites Mosek optimization software,.

Exploring the potential of ChatGPT for feedback and evaluation in experimental physics Mosek optimization software,

Reference 29

Resolution: unresolved; no resolver link, observed 2026-07-13T21:36:14.566306Z

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Unavailable: canonical work link unavailable.

Observation d0b02511-a661-46cb-a1a7-a677524ba612 · outbound

This paper cites On the implementation of an interior- point filter line-search algorithm for large-scale nonlinear programming,.

Exploring the potential of ChatGPT for feedback and evaluation in experimental physics On the implementation of an interior- point filter line-search algorithm for large-scale nonlinear programming,

Reference 30

Resolution: unresolved; no resolver link, observed 2026-07-13T21:36:14.566306Z

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Pith citing papers

No inbound Pith citation observations are available.