Towards infinite PCSP: a dichotomy for monochromatic cliques
Pith reviewed 2026-05-12 02:00 UTC · model grok-4.3
The pith
Every PMMSNP problem reduces in polynomial time to a finite-domain Promise CSP, with a full complexity classification for the monochromatic-clique subclass assuming the Rich 2-to-1 Conjecture.
A machine-rendered reading of the paper's core claim, the machinery that carries it, and where it could break.
Core claim
The authors show that Promise MMSNP problems are polynomial-time equivalent to finite-domain Promise CSPs. For the monochromatic-clique class they give a full complexity classification conditional on the Rich 2-to-1 Conjecture, proving that the problems are either in P or NP-hard. The classification relies on an intermediate NP-hardness result for reconfigurable uniform hypergraph coloring under the same conjecture.
What carries the argument
The polynomial-time reduction from PMMSNP to finite-domain PCSP, together with the reconfigurability promise on hypergraph colorings that enables the hardness proof under the Rich 2-to-1 Conjecture.
If this is right
- Every PMMSNP problem is polynomial-time equivalent to a finite-domain PCSP.
- Monochromatic-clique PMMSNP problems are either in P or NP-hard, assuming the Rich 2-to-1 Conjecture.
- Coloring a uniform hypergraph is NP-hard even when a reconfigurable coloring is promised to exist, under the Rich 2-to-1 Conjecture.
- Most instances of the linearly-ordered colouring conjecture follow from the reconfigurable-hypergraph hardness result.
Where Pith is reading between the lines
- The same reduction technique may apply to other promise logics beyond MMSNP.
- If the Rich 2-to-1 Conjecture is eventually proved, the paper would resolve the complexity status of many open promise-coloring problems.
- The reconfigurability condition could serve as a reusable gadget in hardness proofs for other infinite-domain promise problems.
Load-bearing premise
The Rich 2-to-1 Conjecture holds, which supplies the NP-hardness of reconfigurable hypergraph coloring.
What would settle it
A polynomial-time algorithm that properly colors any uniform hypergraph promised to admit a reconfigurable coloring, or an explicit counterexample to the Rich 2-to-1 Conjecture.
read the original abstract
The logic MMSNP is a well-studied fragment of Existential Second-Order logic that, from a computational perspective, captures finite-domain Constraint Satisfaction Problems (CSPs) modulo polynomial-time reductions. At the same time, MMSNP contains many problems that are expressible as $\omega$-categorical CSPs but not as finite-domain ones. We initiate the study of Promise MMSNP (PMMSNP), a promise analogue of MMSNP. We show that every PMMSNP problem is poly-time equivalent to a (finite-domain) Promise CSP (PCSP), thereby extending the classical MMSNP-CSP correspondence to the promise setting. We then investigate the complexity of PMMSNPs arising from forbidding monochromatic cliques, a class encompassing promise graph colouring problems. For this class, we obtain a full complexity classification conditional on the Rich 2-to-1 Conjecture, a recently proposed perfect-completeness surrogate of the Unique Games Conjecture. As a key intermediate step which may be of independent interest, we prove that it is NP-hard, under the Rich 2-to-1 Conjecture, to properly colour a uniform hypergraph even if it is promised to admit a colouring satisfying a certain technical condition called reconfigurability. This proof is an extension of the recent work of Braverman, Khot, Lifshitz and Minzer (Adv. Math. 2025). To illustrate the broad applicability of this theorem, we show that it implies most of the linearly-ordered colouring conjecture of Barto, Battistelli, and Berg (STACS 2021).
Editorial analysis
A structured set of objections, weighed in public.
Referee Report
Summary. The paper introduces Promise MMSNP (PMMSNP) as a promise analogue of MMSNP and proves that every PMMSNP problem is polynomial-time equivalent to a finite-domain Promise CSP (PCSP). It then establishes a complexity dichotomy for the monochromatic-clique subclass of PMMSNP (encompassing promise graph colouring) conditional on the Rich 2-to-1 Conjecture. As an intermediate step, it proves NP-hardness of properly colouring uniform hypergraphs under a reconfigurability promise (extending Braverman et al. 2025) and shows this implies most of the linearly-ordered colouring conjecture of Barto et al. (STACS 2021).
Significance. If the results hold, the work extends the classical MMSNP-CSP correspondence to the promise setting, providing a concrete link between logic-based promise problems and finite-domain PCSPs. The conditional dichotomy for monochromatic cliques offers a classification for an important class including promise colourings, while the reconfigurability hardness result has independent interest and applies to other open problems. The use of the Rich 2-to-1 Conjecture as a perfect-completeness surrogate is a strength, as is the explicit separation of unconditional and conditional parts.
major comments (1)
- The key hardness result for reconfigurable uniform hypergraph colouring (abstract and main body) is described as an extension of Braverman, Khot, Lifshitz and Minzer (Adv. Math. 2025). The manuscript provides only a high-level sketch of how the extension is obtained; this is load-bearing for the conditional dichotomy and requires a self-contained argument or detailed reference to the modified steps to allow verification.
minor comments (2)
- The term 'reconfigurability' is used in the abstract without a one-sentence definition or pointer to its formal definition in the paper; adding this would improve readability for readers unfamiliar with the technical condition.
- The introduction should include a short paragraph explicitly separating the unconditional equivalence result from the conditional dichotomy to prevent any misreading of the scope.
Simulated Author's Rebuttal
We thank the referee for their careful reading of the manuscript, positive summary, and constructive feedback. We address the single major comment below and will revise the manuscript to incorporate the requested details.
read point-by-point responses
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Referee: The key hardness result for reconfigurable uniform hypergraph colouring (abstract and main body) is described as an extension of Braverman, Khot, Lifshitz and Minzer (Adv. Math. 2025). The manuscript provides only a high-level sketch of how the extension is obtained; this is load-bearing for the conditional dichotomy and requires a self-contained argument or detailed reference to the modified steps to allow verification.
Authors: We agree that the current presentation of the reconfigurable hypergraph colouring hardness result (which underpins the conditional dichotomy for monochromatic-clique PMMSNP) consists of a high-level sketch of the modifications to the Braverman et al. argument. In the revised manuscript we will replace this sketch with a self-contained, detailed proof that explicitly identifies each modified step, the new technical ingredients required for the reconfigurability promise, and the points at which the Rich 2-to-1 Conjecture is invoked. This will enable independent verification without requiring the reader to reconstruct the extension from the original paper. revision: yes
Circularity Check
No significant circularity identified
full rationale
The paper's core claims—an unconditional polynomial-time equivalence between every PMMSNP problem and a finite-domain PCSP, plus a conditional dichotomy for the monochromatic-clique subclass—are derived from external assumptions (the Rich 2-to-1 Conjecture) and extensions of independent prior results by other authors (Braverman-Khot-Lifshitz-Minzer and Barto-Battistelli-Berg). No equations, definitions, or steps reduce the claimed results to self-citations, fitted parameters, or inputs by construction. The argument structure remains self-contained against external benchmarks.
Axiom & Free-Parameter Ledger
axioms (1)
- domain assumption Rich 2-to-1 Conjecture
Reference graph
Works this paper leans on
-
[1]
Improved Inapproximability of Rainbow Coloring
1 Per Austrin, Amey Bhangale, and Aditya Potukuchi. Improved Inapproximability of Rainbow Coloring. In Shuchi Chawla, editor,Proceedings of the 2020 ACM-SIAM Symposium on Discrete Algorithms (SODA), page 1479–1495. SIAM, January 2020.arXiv:1810.02784, doi:10.1137/1.9781611975994.90. 2 Per Austrin, Johan Håstad, and Björn Martinsson. On the Usefulness of P...
-
[2]
Containment for Guarded Monotone Strict NP
Schloss Dagstuhl – Leibniz-Zentrum für Informatik. doi:10.4230/LIPIcs.ICALP.2025.140. 7 Libor Barto, Diego Battistelli, and Kevin M. Berg. Symmetric Promise Constraint Satisfaction Problems: Beyond the Boolean Case. In38th International Symposium on Theoretical Aspects of Computer Science (STACS 2021), volume 187 ofLeibniz International Proceedings in Inf...
-
[3]
8 Libor Barto, Jakub Bulín, Andrei Krokhin, and Jakub Opršal
Schloss Dagstuhl – Leibniz- Zentrum für Informatik.doi:10.4230/LIPIcs.STACS.2021.10. 8 Libor Barto, Jakub Bulín, Andrei Krokhin, and Jakub Opršal. Algebraic Approach to Promise Constraint Satisfaction.Journal of the ACM, 68(4), July 2021.doi:10.1145/3457606. 9 Meghyn Bienvenu, Balder Ten Cate, Carsten Lutz, and Frank Wolter. Ontology-Based Data Access: A ...
-
[4]
12 Manuel Bodirsky and Jan Kára
Springer Berlin Heidelberg.doi:10.1007/978-3-540-70583-3_16. 12 Manuel Bodirsky and Jan Kára. The complexity of temporal constraint satisfaction problems. J. ACM, 57(2):9:1–9:41, January 2010.doi:10.1145/1667053.1667058. 13 Manuel Bodirsky, Simon Knäuer, and Florian Starke. ASNP: a tame fragment of existential second-order logic. InBeyond the horizon of c...
-
[5]
doi: 10.1137/19M128466X. 24 Towards infinite PCSP: a dichotomy for monochromatic cliques 16 Manuel Bodirsky, Barnaby Martin, Michael Pinsker, and András Pongrácz. Constraint satisfaction problems for reducts of homogeneous graphs.SIAM J. Comput., 48(4):1224–1264, 2019.doi:10.1137/16M1082974. 17 Manuel Bodirsky, Michael Pinsker, and András Pongrácz. Projec...
-
[6]
20 Joshua Brakensiek, Venkatesan Guruswami, and Sai Sandeep
doi: 10.1145/3459668. 20 Joshua Brakensiek, Venkatesan Guruswami, and Sai Sandeep. Conditional Dichotomy of Boolean Ordered Promise CSPs.TheoretiCS, 2, January 2023.doi:10.46298/theoretics. 23.2. 21 Alex Brandts and Stanislav Živný. Beyond PCSP(1-in-3, NAE).Inform. and Comput., 289, November 2022.doi:10.1016/j.ic.2022.104954. 22 Mark Braverman, Subhash Kh...
-
[7]
23 Mark Braverman, Subhash Khot, and Dor Minzer
doi: 10.1016/j.aim.2025.110460. 23 Mark Braverman, Subhash Khot, and Dor Minzer. On Rich 2-to-1 Games. In12th Innovations in Theoretical Computer Science Conference (ITCS 2021), volume 185 ofLeibniz International Proceedings in Informatics (LIPIcs), pages 27:1–27:20, Dagstuhl, Germany,
-
[8]
On Rich 2-to-1 Games , booktitle =
Schloss Dagstuhl – Leibniz-Zentrum für Informatik.doi:10.4230/LIPIcs.ITCS.2021.27. 24 Andrei Bulatov, Peter Jeavons, and Andrei Krokhin. Classifying the complexity of con- straints using finite algebras.SIAM J. Comput., 34(3):720–742,
-
[9]
[BˇZ20] Silvia Butti and Stanislav ˇZivn´ y
doi:10.1137/ S0097539700376676. 25 Andrei A. Bulatov. A Dichotomy Theorem for Nonuniform CSPs. In Chris Umans, editor, 2017 IEEE 58th Annual Symposium on Foundations of Computer Science (FOCS), page 319–330. IEEE, October 2017.doi:10.1109/FOCS.2017.37. 26 Stefan A. Burr. On the computational complexity of Ramsey-type problems. InMathematics of Ramsey theo...
-
[10]
27 Maria Chudnovsky, Linda Cook, James Davies, and Sang-il Oum
doi: 10.1007/978-3-642-72905-8_5. 27 Maria Chudnovsky, Linda Cook, James Davies, and Sang-il Oum. Reuniting𝜒-boundedness with polynomial 𝜒-boundedness.J. Combin. Theory Ser. B, 176:30–73, 2026.doi:10.1016/j. jctb.2025.08.002. 28 Lorenzo Ciardo, Marcin Kozik, Andrei Krokhin, Tamio-Vesa Nakajima, and Stanislav Živný. 1-in-3 vs. not-all-equal: Dichotomy of a...
-
[11]
33 Tomás Feder and Moshe Y. Vardi. The computational structure of monotone monadic SNP and constraint satisfaction: A study through datalog and group theory.SIAM J. Comput., 28(1):57–104, 1998.doi:10.1137/S0097539794266766. 34 Miron Ficak, Marcin Kozik, Miroslav Olšák, and Szymon Stankiewicz. Dichotomy for Sym- metric Boolean PCSPs. In46th International C...
-
[12]
35 Marek Filakovský, Tamio-Vesa Nakajima, Jakub Opršal, Gianluca Tasinato, and Uli Wagner
Schloss Dagstuhl – Leibniz-Zentrum für Informatik.doi:10.4230/LIPIcs.ICALP.2019.57. 35 Marek Filakovský, Tamio-Vesa Nakajima, Jakub Opršal, Gianluca Tasinato, and Uli Wagner. Hardness of linearly ordered 4-colouring of 3-colourable 3-uniform hypergraphs.ACM Trans. Comput. Theory, 18(2), May 2026.doi:10.1145/3779121. 36 Michael R. Garey and David S. Johnso...
-
[13]
37 Venkatesan Guruswami and Euiwoong Lee
A guide to the theory of NP-completeness. 37 Venkatesan Guruswami and Euiwoong Lee. Strong inapproximability results on bal- anced rainbow-colorable hypergraphs.Combinatorica, 38(3):547–599, 2018.doi:10.1007/ s00493-016-3383-0. 38 Venkatesan Guruswami and Rishi Saket. Hardness of Rainbow Coloring Hypergraphs. In Satya V. Lokam and R. Ramanujam, editors,37...
work page 2018
-
[14]
39 Venkatesan Guruswami and Sai Sandeep
Schloss Dagstuhl - Leibniz-Zentrum für Informatik.doi:10.4230/LIPIcs.FSTTCS.2017.33. 39 Venkatesan Guruswami and Sai Sandeep. d-To-1 Hardness of Coloring 3-Colorable Graphs with O(1) Colors. In47th International Colloquium on Automata, Languages, and Programming (ICALP 2020), volume 168 ofLeibniz International Proceedings in Informatics (LIPIcs), pages 62...
-
[15]
doi:10.4230/LIPIcs.ICALP.2020.62
Schloss Dagstuhl – Leibniz-Zentrum für Informatik. doi:10.4230/LIPIcs.ICALP.2020.62. 40Wilfrid Hodges.A shorter model theory. Cambridge University Press,
-
[16]
42 Michał Karpiński and Krzysztof Piecuch
doi:10.1137/0208040. 42 Michał Karpiński and Krzysztof Piecuch. On vertex coloring without monochromatic triangles. InComputer science—theory and applications, volume 10846 ofLecture Notes in Comput. Sci., pages 220–231. Springer, Cham, 2018.doi:10.1007/978-3-319-90530-3_19. 43 Subhash Khot. On the power of unique 2-prover 1-round games. InProceedings of ...
-
[17]
co.uk/downloads/ifcolog00028.pdf,arXiv:1603.00082
URL:https://www.collegepublications. co.uk/downloads/ifcolog00028.pdf,arXiv:1603.00082. 47 Andrei Krokhin and Danny Vagnozzi. Approximating 1-in-3 SAT by linearly ordered hyper- graph 3-colouring is NP-hard, 2025.arXiv:2508.14606,doi:10.48550/arXiv.2508.14606. 48 Andrei A. Krokhin, Jakub Oprsal, Marcin Wrochna, and Stanislav Živný. Topology and Adjunction...
-
[18]
52 Florent Madelaine and Iain A. Stewart. Constraint satisfaction, logic and forbidden patterns. SIAM J. Comput., 37(1):132–163, January 2007.doi:10.1137/050634840. 53 Sebastian Meyer and Jakub Opršal. A topological proof of the Hell-Nešetřil dichotomy. In Yossi Azar and Debmalya Panigrahi, editors,Proceedings of the 2025 Annual ACM-SIAM Symposium on Disc...
-
[19]
Linearly Ordered Colourings of Hypergraphs , journal =
Schloss Dagstuhl – Leibniz-Zentrum für Informatik.doi:10.4230/ LIPIcs.ICALP.2025.169. 57 Tamio-Vesa Nakajima and Stanislav Živný. Linearly ordered colourings of hypergraphs.ACM Trans. Comput. Theory, 14(3–4), February 2023.doi:10.1145/3570909. 58 Omer Reingold. Undirected connectivity in log-space.J. ACM, 55(4), September
-
[20]
doi:10.1145/1391289.1391291. 59 Sai Sandeep. Almost optimal inapproximability of multidimensional packing problems. In 2021 IEEE 62nd Annual Symposium on Foundations of Computer Science (FOCS), pages 245–256. IEEE, 2021.arXiv:2101.02854,doi:10.1109/FOCS52979.2021.00033. 60 Dmitriy Zhuk. A Proof of CSP Dichotomy Conjecture. In Chris Umans, editor,2017 IEEE...
-
[21]
A Proof of the CSP Dichotomy Conjecture
doi:10.1145/3402029. A Noise inequalities Correlation plays an important role in our analysis. For a distributionΩ over 𝐴×𝐵 , it is denoted by 𝜌(𝐴, 𝐵 ; Ω) ∈ [ 0, 1]. We will not define it formally here; the intuition behind 𝜌(𝐴, 𝐵 ; Ω) is that it measures the correlation between the first and second coordinates ofΩ. The reason BKLM-connected relations are...
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