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Paper Citation Record · LEDGER

Lagrange multipliers in Maximum likelihood estimations and Least squares problems with Constraints

As of 9 August 2026, this Paper Citation Record lists 30 of 30 outbound references and 0 inbound Pith citation observations for arXiv:2606.07984.

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pith.paper-citation-record.v1
2606.07984 v1

Coverage vector

measured 30 of 30 reference resolution

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Source: paper_references, paper_reference_links, observed 2026-06-27T19:09:02.756976Z

measured 30 of 30 standing notices

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Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

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Reference resolution

30 of 30 outbound references displayed

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  • verified fuzzy0
  • unresolved27
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  • malformed identifier0
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Outbound references

Observation 39c4aa9f-bd4b-4704-b938-55d8d95cbdd5 · outbound

This paper cites Swapping the nested fixed point algorithm: A class of estimators for discrete markov decision models.Econometrica, 70(4):1519–1543, 2002.

Lagrange multipliers in Maximum likelihood estimations and Least squares problems with Constraints Swapping the nested fixed point algorithm: A class of estimators for discrete markov decision models.Econometrica, 70(4):1519–1543, 2002

Reference 1

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Observation 8e48f108-44d5-4e9b-ad2a-88571d94091f · outbound

This paper cites Maximum-likelihood estimation of parameters subject to restraints.The annals of mathematical Statistics, pages 813–828, 1958.

Lagrange multipliers in Maximum likelihood estimations and Least squares problems with Constraints Maximum-likelihood estimation of parameters subject to restraints.The annals of mathematical Statistics, pages 813–828, 1958

Reference 2

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Observation 9bda963a-c4a9-4e52-ab5a-fe31b3f06259 · outbound

This paper cites An adaptive augmented Lagrangian method for training physics and equality constrained artificial neural networks.

Lagrange multipliers in Maximum likelihood estimations and Least squares problems with Constraints An adaptive augmented Lagrangian method for training physics and equality constrained artificial neural networks

Reference 3

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arxiv_id, observed 2026-07-02T22:07:26.585621Z

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Observation 5aa9fc57-58c5-42cd-bfe3-c4f7021666ee · outbound

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Lagrange multipliers in Maximum likelihood estimations and Least squares problems with Constraints Unresolved cited work

Reference 4

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Observation 2bc6c6bd-02d1-458b-bcc4-2ce84447d522 · outbound

This paper cites Sequential quadratic optimization for nonlinear equality constrained stochastic optimization.SIAM Journal on Optimization, 31(2):1352–1379, 2021.

Lagrange multipliers in Maximum likelihood estimations and Least squares problems with Constraints Sequential quadratic optimization for nonlinear equality constrained stochastic optimization.SIAM Journal on Optimization, 31(2):1352–1379, 2021

Reference 5

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Observation 17e2799a-524d-45b6-9bc4-1abd644f7a57 · outbound

This paper cites Academic press, 1982.

Lagrange multipliers in Maximum likelihood estimations and Least squares problems with Constraints Academic press, 1982

Reference 6

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Observation 91176159-b990-4d42-b9c7-0632d44dd34d · outbound

This paper cites SIAM, 2014.

Lagrange multipliers in Maximum likelihood estimations and Least squares problems with Constraints SIAM, 2014

Reference 7

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Observation bc486b47-ec25-48bd-8556-f3ad68245504 · outbound

This paper cites Lee, Xin T.

Lagrange multipliers in Maximum likelihood estimations and Least squares problems with Constraints Lee, Xin T

Reference 8

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Observation 4056f63e-1b8c-4317-a201-660ce5682efa · outbound

This paper cites Springer, 2015.

Lagrange multipliers in Maximum likelihood estimations and Least squares problems with Constraints Springer, 2015

Reference 9

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Observation 03b53978-04d9-48b5-b67c-73192fb264ff · outbound

This paper cites Efficient and convergent sequential pseudo-likelihood estimation of dynamic discrete games.Review of Economic Studies, 92(2):981–1021, 2025.

Lagrange multipliers in Maximum likelihood estimations and Least squares problems with Constraints Efficient and convergent sequential pseudo-likelihood estimation of dynamic discrete games.Review of Economic Studies, 92(2):981–1021, 2025

Reference 10

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Observation 7742ad25-4d3c-4111-b098-0388f6df0dc1 · outbound

This paper cites Training neural networks under physical constraints using a stochastic augmented Lagrangian approach.

Lagrange multipliers in Maximum likelihood estimations and Least squares problems with Constraints Training neural networks under physical constraints using a stochastic augmented Lagrangian approach

Reference 11

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Observation 87846cf7-261c-4b47-af03-ee847d4b0bd8 · outbound

This paper cites Fully stochastic trust-region sequential quadratic programming for equality-constrained optimization problems.SIAM Journal on Optimization, 34(2):2007–2037, 2024.

Lagrange multipliers in Maximum likelihood estimations and Least squares problems with Constraints Fully stochastic trust-region sequential quadratic programming for equality-constrained optimization problems.SIAM Journal on Optimization, 34(2):2007–2037, 2024

Reference 12

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Observation 099dd802-ce2e-4c6e-b9d1-9c8a59e857e4 · outbound

This paper cites Sequential algorithm for structural estimations with equilibrium constraints.

Lagrange multipliers in Maximum likelihood estimations and Least squares problems with Constraints Sequential algorithm for structural estimations with equilibrium constraints

Reference 13

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Observation a373c3bd-6aba-47bc-98f1-36fde48a72c2 · outbound

This paper cites Constrained maximum likelihood exemplified by isotonic convex logistic regression.Journal of the American Statistical Association, 86(415):717–724, 1991.

Lagrange multipliers in Maximum likelihood estimations and Least squares problems with Constraints Constrained maximum likelihood exemplified by isotonic convex logistic regression.Journal of the American Statistical Association, 86(415):717–724, 1991

Reference 14

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source=pdf_text observed=2026-06-27T19:09:02.756976Z digest=sha256:45a8ca7454d0c4bf223c77e5725c63a68ab64b997d35827eb3438af10477ae22

Observation d2433dd5-2aee-44a9-b4a2-af14de2ddac5 · outbound

This paper cites Cambridge University Press, 1995.

Lagrange multipliers in Maximum likelihood estimations and Least squares problems with Constraints Cambridge University Press, 1995

Reference 15

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Observation 55206e36-ef07-4540-8543-e4895658150b · outbound

This paper cites constrained optimization approaches to estimation of structural models.

Lagrange multipliers in Maximum likelihood estimations and Least squares problems with Constraints constrained optimization approaches to estimation of structural models

Reference 16

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Observation 2c284199-3a35-431c-81ce-d82b0e767f2e · outbound

This paper cites Physics-informed neural networks with hard constraints for inverse design.SIAM Journal on Scientific Computing, 43(6):B1105–B1132, 2021.

Lagrange multipliers in Maximum likelihood estimations and Least squares problems with Constraints Physics-informed neural networks with hard constraints for inverse design.SIAM Journal on Scientific Computing, 43(6):B1105–B1132, 2021

Reference 17

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Observation 2b6192b9-50a6-4068-b4cf-7df0fda9eb0e · outbound

This paper cites A projected Lagrangian algorithm and its implementation for sparse nonlinear constraints.Mathematical Programming Study, 16:84–117, 1982.

Lagrange multipliers in Maximum likelihood estimations and Least squares problems with Constraints A projected Lagrangian algorithm and its implementation for sparse nonlinear constraints.Mathematical Programming Study, 16:84–117, 1982

Reference 18

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Observation 9d154260-fde5-4a39-8ec1-5439c3629126 · outbound

This paper cites Inequality constrained stochastic nonlinear optimization via active-set sequential quadratic programming.Mathematical Programming, 202(1):279–353, 2023.

Lagrange multipliers in Maximum likelihood estimations and Least squares problems with Constraints Inequality constrained stochastic nonlinear optimization via active-set sequential quadratic programming.Mathematical Programming, 202(1):279–353, 2023

Reference 19

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Observation 05ab9306-4c4d-46eb-9e8a-458b7b656fd3 · outbound

This paper cites Statistical inference of constrained stochastic optimization via sketched sequential quadratic programming.Journal of Machine Learning Research, 26(33):1–75, 2025.

Lagrange multipliers in Maximum likelihood estimations and Least squares problems with Constraints Statistical inference of constrained stochastic optimization via sketched sequential quadratic programming.Journal of Machine Learning Research, 26(33):1–75, 2025

Reference 20

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Observation b901c2b6-7fda-4c21-8e74-074aa6d2ead2 · outbound

This paper cites Springer, 2006.

Lagrange multipliers in Maximum likelihood estimations and Least squares problems with Constraints Springer, 2006

Reference 21

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Observation 28b72e86-246f-4a6e-b4a0-8e99cc5e5f00 · outbound

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Lagrange multipliers in Maximum likelihood estimations and Least squares problems with Constraints Unresolved cited work

Reference 22

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Observation f7c1adde-5ed3-41b6-82ca-1930121d02a2 · outbound

This paper cites Optimal replacement of GMC bus engines: An empirical model of Harold Zurcher.Econometrica, 55(5):999–1033, 1987.

Lagrange multipliers in Maximum likelihood estimations and Least squares problems with Constraints Optimal replacement of GMC bus engines: An empirical model of Harold Zurcher.Econometrica, 55(5):999–1033, 1987

Reference 23

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Observation 0d1c510b-c375-4e22-9cf1-6c15f8aa097c · outbound

This paper cites Constrained optimization to train neural networks on critical and under-represented classes.Advances in neural information processing systems, 34:25400–25411, 2021.

Lagrange multipliers in Maximum likelihood estimations and Least squares problems with Constraints Constrained optimization to train neural networks on critical and under-represented classes.Advances in neural information processing systems, 34:25400–25411, 2021

Reference 24

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Observation b7db35c7-b340-40eb-9dd6-41b0c45ab8d2 · outbound

This paper cites Inverse reinforcement learning with explicit policy estimates.

Lagrange multipliers in Maximum likelihood estimations and Least squares problems with Constraints Inverse reinforcement learning with explicit policy estimates

Reference 25

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Observation b1d9e77c-fe52-4d67-9d75-a5a651e13618 · outbound

This paper cites On the asymptotics of constrained local m-estimators.Annals of statistics, pages 948–960, 2000.

Lagrange multipliers in Maximum likelihood estimations and Least squares problems with Constraints On the asymptotics of constrained local m-estimators.Annals of statistics, pages 948–960, 2000

Reference 26

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Observation cf79e670-7f8b-40ae-89cd-15690eeb3999 · outbound

This paper cites Lectures on stochastic programming: Modeling and theory, 2014.

Lagrange multipliers in Maximum likelihood estimations and Least squares problems with Constraints Lectures on stochastic programming: Modeling and theory, 2014

Reference 27

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source=pdf_text observed=2026-06-27T19:09:02.756976Z digest=sha256:1b76fd69bf188f4532dd3860b040c5cb02ee33419847617f8277332a2b838cfa

Observation 1ba64958-e828-4ad6-a1dd-294ddd89d5a1 · outbound

This paper cites Constrained optimization approaches to estimation of structural models.Econometrica, 80(5):2213–2230, 2012.

Lagrange multipliers in Maximum likelihood estimations and Least squares problems with Constraints Constrained optimization approaches to estimation of structural models.Econometrica, 80(5):2213–2230, 2012

Reference 28

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source=pdf_text observed=2026-06-27T19:09:02.756976Z digest=sha256:b406cec5a179ea908f476314860f08e97a52683e4c6ce50cc6b1610642652f1c

Observation ba905ab6-d51c-4aee-a7e9-68322425d0eb · outbound

This paper cites From pinns to pikans: Recent advances in physics-informed machine learning.Machine Learning for Computational Science and Engineering, 1(1):1–43, 2025.

Lagrange multipliers in Maximum likelihood estimations and Least squares problems with Constraints From pinns to pikans: Recent advances in physics-informed machine learning.Machine Learning for Computational Science and Engineering, 1(1):1–43, 2025

Reference 29

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source=pdf_text observed=2026-06-27T19:09:02.756976Z digest=sha256:fb7cc89e2db4792a0e069c47a26888c9086956f5868ce96bb24d90e73a464289

Observation 2cafc075-217e-4cd2-b9b7-cd5b84759360 · outbound

This paper cites On the implementation of an interior-point filter line-search algorithm for large-scale nonlinear programming.Mathematical programming, 106(1):25–57, 2006.

Lagrange multipliers in Maximum likelihood estimations and Least squares problems with Constraints On the implementation of an interior-point filter line-search algorithm for large-scale nonlinear programming.Mathematical programming, 106(1):25–57, 2006

Reference 30

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