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Paper Citation Record · LEDGER

Conditioned free-energy density of proteins using unbalanced solutions to constraint satisfaction problems

As of 19 August 2026, this Paper Citation Record lists 36 of 36 outbound references and 0 inbound Pith citation observations for arXiv:2606.01329.

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pith.paper-citation-record.v1
2606.01329 v1

Coverage vector

measured 36 of 36 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-28T17:53:40.068758Z

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Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

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Reference resolution

36 of 36 outbound references displayed

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Outbound references

Observation c3c574c2-c297-4cb1-bb73-dd0302072faa · outbound

This paper cites Approximating the cut-norm via grothendieck’s inequality.SIAM Journal on Computing, 35(4):787–803, 2006.

Conditioned free-energy density of proteins using unbalanced solutions to constraint satisfaction problems Approximating the cut-norm via grothendieck’s inequality.SIAM Journal on Computing, 35(4):787–803, 2006

Reference 1

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Observation d55606c0-ceb4-4f77-ab1b-95e2d77c64f9 · outbound

This paper cites Kinch, R.

Conditioned free-energy density of proteins using unbalanced solutions to constraint satisfaction problems Kinch, R

Reference 2

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source=pdf_text observed=2026-06-28T17:53:40.068758Z digest=sha256:909b17884f6350c33119eda3b1eda08e03aa6f16fb496babf3a7d299c65ca9dc

Observation d664050d-cdb8-4fec-93d8-f8958b43c8bf · outbound

This paper cites On the computational complexity of Ising spin glass models.Journal of Physics A: Mathematical and General, 15(10):3241–3253, 1982.

Conditioned free-energy density of proteins using unbalanced solutions to constraint satisfaction problems On the computational complexity of Ising spin glass models.Journal of Physics A: Mathematical and General, 15(10):3241–3253, 1982

Reference 3

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Observation 673d50b2-bd03-4690-8eed-bedabd305dd5 · outbound

This paper cites Inapproximability of matrixp→q norms.SIAM Journal on Computing, 52(1):132– 155, 2023.

Conditioned free-energy density of proteins using unbalanced solutions to constraint satisfaction problems Inapproximability of matrixp→q norms.SIAM Journal on Computing, 52(1):132– 155, 2023

Reference 4

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Observation 83afacca-7f23-4f49-8dd2-553e0ad78723 · outbound

This paper cites Approximating Operator Norms via Generalized Krivine Rounding.

Conditioned free-energy density of proteins using unbalanced solutions to constraint satisfaction problems Approximating Operator Norms via Generalized Krivine Rounding

Reference 5

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Observation 42de1cef-4fa9-48fc-aab2-61e480998ab6 · outbound

This paper cites Inapproximability of Matrix $p\rightarrow q$ Norms.

Conditioned free-energy density of proteins using unbalanced solutions to constraint satisfaction problems Inapproximability of Matrix $p\rightarrow q$ Norms

Reference 6

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Observation 9b1afe3c-dd23-4e80-8918-78a725a24ecb · outbound

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Conditioned free-energy density of proteins using unbalanced solutions to constraint satisfaction problems Unresolved cited work

Reference 7

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Observation 480d3bf1-4456-4aa3-b242-694dc1f60066 · outbound

This paper cites Ising Critical Behavior of Inhomogeneous Curie-Weiss Models and Annealed Random Graphs.Communications in Mathematical Physics, 348, 2016.

Conditioned free-energy density of proteins using unbalanced solutions to constraint satisfaction problems Ising Critical Behavior of Inhomogeneous Curie-Weiss Models and Annealed Random Graphs.Communications in Mathematical Physics, 348, 2016

Reference 8

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Observation 2c08b179-d87f-4193-9b4c-396d7bd54e77 · outbound

This paper cites Annealed central limit theorems for the Ising model on random graphs.Latin American Journal of Probability and Mathematical Statistics, XIII, 2016.

Conditioned free-energy density of proteins using unbalanced solutions to constraint satisfaction problems Annealed central limit theorems for the Ising model on random graphs.Latin American Journal of Probability and Mathematical Statistics, XIII, 2016

Reference 9

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Observation 0ec45b33-adbc-435d-9b7a-46dd56af139c · outbound

This paper cites Goemans and David P.

Conditioned free-energy density of proteins using unbalanced solutions to constraint satisfaction problems Goemans and David P

Reference 10

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Observation a33627a9-a4b4-46a1-b0ee-d8b88e232e85 · outbound

This paper cites Protein Structure Prediction with Lattice Models.Handbook of Computational Molecular Biology, 2005.

Conditioned free-energy density of proteins using unbalanced solutions to constraint satisfaction problems Protein Structure Prediction with Lattice Models.Handbook of Computational Molecular Biology, 2005

Reference 11

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Observation 2213fb2d-869b-45ea-9c7c-8ba6e4ef6749 · outbound

This paper cites Polynomial-time approximation algorithms for the Ising model.SIAM Journal on Computing, 22(5):1087–1116, 1993.

Conditioned free-energy density of proteins using unbalanced solutions to constraint satisfaction problems Polynomial-time approximation algorithms for the Ising model.SIAM Journal on Computing, 22(5):1087–1116, 1993

Reference 12

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Observation 032f75e1-7ed8-43ab-930f-41b97c94be1b · outbound

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Conditioned free-energy density of proteins using unbalanced solutions to constraint satisfaction problems Unresolved cited work

Reference 13

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Observation 25e7745f-ff6c-49a0-9073-460d6bc1be15 · outbound

This paper cites Contact Electron-Spin Coupling of Nuclear Magnetic Moments.The Journal of Chemical Physics, 30(1):11–15, 1959.

Conditioned free-energy density of proteins using unbalanced solutions to constraint satisfaction problems Contact Electron-Spin Coupling of Nuclear Magnetic Moments.The Journal of Chemical Physics, 30(1):11–15, 1959

Reference 14

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Observation b9fd7ee0-d74d-44b1-9dc5-5303777b603d · outbound

This paper cites Grothendieck-type inequalities in combinatorial optimization.

Conditioned free-energy density of proteins using unbalanced solutions to constraint satisfaction problems Grothendieck-type inequalities in combinatorial optimization

Reference 15

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Observation 371c0ee7-b1b0-4429-8521-98db6b6fa1e3 · outbound

This paper cites Mean-absolute deviation portfolio optimization model and its applications to Tokyo stock market.Management Science, 37(5):519–531, 1991.

Conditioned free-energy density of proteins using unbalanced solutions to constraint satisfaction problems Mean-absolute deviation portfolio optimization model and its applications to Tokyo stock market.Management Science, 37(5):519–531, 1991

Reference 16

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Observation 13eb5ef0-83c0-4b3a-a1eb-da785db23c0a · outbound

This paper cites Lewis, Oliver F.

Conditioned free-energy density of proteins using unbalanced solutions to constraint satisfaction problems Lewis, Oliver F

Reference 17

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Observation 2a488158-5139-4c66-81e3-3b65672bc39b · outbound

This paper cites Lovell, Ian W.

Conditioned free-energy density of proteins using unbalanced solutions to constraint satisfaction problems Lovell, Ian W

Reference 18

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Observation ff81a47d-a474-4815-accd-d51b047d5e09 · outbound

This paper cites Ross, Markus K.

Conditioned free-energy density of proteins using unbalanced solutions to constraint satisfaction problems Ross, Markus K

Reference 19

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Observation 16117007-f8d3-4d2c-b3c1-5033d4ef6aa6 · outbound

This paper cites Markopoulos, George N.

Conditioned free-energy density of proteins using unbalanced solutions to constraint satisfaction problems Markopoulos, George N

Reference 20

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Observation 38617af1-1a50-47cb-922a-1364d59943d6 · outbound

This paper cites Sign-constrained least squares estimation for high-dimensional regression.

Conditioned free-energy density of proteins using unbalanced solutions to constraint satisfaction problems Sign-constrained least squares estimation for high-dimensional regression

Reference 21

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Observation f487bd6e-a738-472b-aab3-9833a2d6e029 · outbound

This paper cites Palmer, Charles D.

Conditioned free-energy density of proteins using unbalanced solutions to constraint satisfaction problems Palmer, Charles D

Reference 22

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Observation b9b11462-76a3-42b5-a454-2786d2135d9c · outbound

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Conditioned free-energy density of proteins using unbalanced solutions to constraint satisfaction problems Unresolved cited work

Reference 23

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Observation 15fe0178-ee8f-4939-b57f-8fc56721bab6 · outbound

This paper cites Corey, and H.

Conditioned free-energy density of proteins using unbalanced solutions to constraint satisfaction problems Corey, and H

Reference 24

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Observation 3cb010d2-2792-4447-8ea5-bc0641bda76a · outbound

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Conditioned free-energy density of proteins using unbalanced solutions to constraint satisfaction problems Unresolved cited work

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Observation a74a9c16-d228-4076-b82d-b27a43cb9b5a · outbound

This paper cites TALOS+: a hybrid method for predicting protein backbone torsion angles from NMR chemical shifts.Journal of Biomolecular NMR, 44(4):213–223, 2009.

Conditioned free-energy density of proteins using unbalanced solutions to constraint satisfaction problems TALOS+: a hybrid method for predicting protein backbone torsion angles from NMR chemical shifts.Journal of Biomolecular NMR, 44(4):213–223, 2009

Reference 26

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Observation e3597797-3a63-4551-99af-a19a577bd2a5 · outbound

This paper cites Aramini, Gaohua Liu, Alexander Eletsky, Yibing Wu, Kiran K.

Conditioned free-energy density of proteins using unbalanced solutions to constraint satisfaction problems Aramini, Gaohua Liu, Alexander Eletsky, Yibing Wu, Kiran K

Reference 27

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Observation c7229d24-7574-4cea-90f1-1f2f67ffa103 · outbound

This paper cites Non-negative least squares for high-dimensional linear models: Consistency and sparse recovery without regularization.Electronic Journal of Statistics, 2013.

Conditioned free-energy density of proteins using unbalanced solutions to constraint satisfaction problems Non-negative least squares for high-dimensional linear models: Consistency and sparse recovery without regularization.Electronic Journal of Statistics, 2013

Reference 28

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Observation 669e3f44-996f-4be2-8833-2d481ef11f91 · outbound

This paper cites Supersparse linear integer models for optimized medical scoring systems.Machine Learning, 102(3):349–391, 2016.

Conditioned free-energy density of proteins using unbalanced solutions to constraint satisfaction problems Supersparse linear integer models for optimized medical scoring systems.Machine Learning, 102(3):349–391, 2016

Reference 29

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Observation ad5f1dba-10dd-4d7f-8492-5e16769b8511 · outbound

This paper cites Vijay-Kumar, Charles E.

Conditioned free-energy density of proteins using unbalanced solutions to constraint satisfaction problems Vijay-Kumar, Charles E

Reference 30

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Observation f7970876-40cb-4d1f-bcfe-a924d4092d88 · outbound

This paper cites Vuister and Ad Bax.

Conditioned free-energy density of proteins using unbalanced solutions to constraint satisfaction problems Vuister and Ad Bax

Reference 31

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Observation 46707be2-0c47-4ef7-a1b4-d23243b45302 · outbound

This paper cites Watson, David Juergens, Nathaniel R.

Conditioned free-energy density of proteins using unbalanced solutions to constraint satisfaction problems Watson, David Juergens, Nathaniel R

Reference 32

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Observation 25780061-3666-4a98-88b2-2e1f13c89011 · outbound

This paper cites Angular dependence of1J(Ni, Cαi)and 2J(Ni, Cα(i−1)) coupling constants measured in J-modulated HSQCs.Journal of Biomolecular NMR, 23:47–55, 2002.

Conditioned free-energy density of proteins using unbalanced solutions to constraint satisfaction problems Angular dependence of1J(Ni, Cαi)and 2J(Ni, Cα(i−1)) coupling constants measured in J-modulated HSQCs.Journal of Biomolecular NMR, 23:47–55, 2002

Reference 33

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Observation 12252e48-c4be-40ed-8775-921f47e681af · outbound

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Conditioned free-energy density of proteins using unbalanced solutions to constraint satisfaction problems Unresolved cited work

Reference 34

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Observation 046c91b3-d542-4035-a99a-994433be4e4e · outbound

This paper cites The second follows from Theorem 7; the first from Theorem 5, which relies on Lemma 6.

Conditioned free-energy density of proteins using unbalanced solutions to constraint satisfaction problems The second follows from Theorem 7; the first from Theorem 5, which relies on Lemma 6

Reference 35

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Observation f1650ea7-5409-4fa4-a5b6-d3cb678f03e2 · outbound

This paper cites Theorem 7.The rounded solution from Algorithm 2 has a constant approximation factor ofp π 2 for theℓ 1 objective relative to the SDP solution.

Conditioned free-energy density of proteins using unbalanced solutions to constraint satisfaction problems Theorem 7.The rounded solution from Algorithm 2 has a constant approximation factor ofp π 2 for theℓ 1 objective relative to the SDP solution

Reference 36

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