Pith. sign in

REVIEW 4 major objections 5 minor 2 cited by

Probing the structure of the $D_{s 0}^*(2317)$ and $X(3872)$ states through correlation functions

T0 review · 4 major / 5 minor · reviewed 2026-08-06 · deepseek-v4-flash

Pith's one-line read The paper claims that femtoscopic correlation functions of D0K+ and D0Dbar*0 pairs can distinguish whether the D_s0*(2317) and X(3872) are pure molecules, mixtures with a bare quark-model state, or coupled-channel composites, and that the…

desk verdict A clearly written paper with genuinely new channel-specific predictions, but the central claim of compositeness-sensitive lineshapes needs a regulator/source robustness scan before I would trust it. read the letter →

arxiv 2506.23476 v2 pith:UWO75EAV submitted 2025-06-30 hep-ph

classification hep-ph
keywords femtoscopycorrelationfunctionscompositenesshadronicmoleculesexotichadronseffectivefieldtheoryD_s0(2317)X(3872)
verification ladder T0 review T1 audit T2 compute T3 formal

The pith

A machine-rendered reading of the paper's core claim, the machinery that carries it, and where it could break.

The reading

The paper argues that femtoscopic correlation functions measured in high-energy collisions can act as a structural probe for hadrons that sit near two-particle thresholds. By modeling the D_s0*(2317) as a DK molecule, with or without a DK-D_s eta coupled channel and with or without an underlying bare csbar state, the authors predict D0K+ correlation functions and find that their low-momentum lineshape is sensitive to the bare-state admixture and to the coupled D+K0 channel. They further predict that a bare state's mass, even if it lies below or above the DK threshold, leaves a distinctive low-momentum signature in the correlation function, so the function can probe a bare state that is otherwise invisible. For the X(3872), modeled as a shallow D0Dbar*0 molecule with a bare ccbar component, the D0Dbar*0 correlation functions change shape strongly with the molecular fraction, offering a way to extract compositeness. The paper also shows, through an inverse-problem fit to synthetic data, that the compositeness can be recovered from correlation functions.

What carries the argument

The calculations rest on the Koonin-Pratt formula, which writes the correlation function as an integral over the emission source (taken as a Gaussian of radius R) of the squared relative wave function. The wave function is built from the T-matrix, obtained by solving a Lippmann-Schwinger equation with a contact-range potential; a bare quark-model state is included as an energy-dependent pole term alpha/(sqrt(s)-m_bare), and coupled channels enter through a matrix potential with a fixed ratio between DK and D_s eta couplings. The compositeness is computed from the pole residue and the derivative of the loop function, and the scattering length and effective range are read off from the inverse T-matrix near threshold. The key mechanism is that the energy dependence introduced by the bare pole changes the low-momentum correlation function in a way that a purely constant contact interaction cannot.

What would settle it

Measure the D0K+ correlation function in high-multiplicity collisions with a source radius near 1 fm and fine momentum resolution below k = 50 MeV: if no low-momentum peak or enhancement appears in a scenario where a bare state near 2.348 GeV is present, the claim that the correlation function can probe the bare-state position would be contradicted.

Watch

Extended reading notes

Core claim

The central discovery is that the lineshape of a two-hadron momentum correlation function encodes more than the scattering length: it distinguishes a pure molecular state from a state mixed with a bare quark-model seed. Using contact effective-field-theory potentials fixed to the physical masses and assumed compositeness values, the authors show that adding a bare-state pole term alpha over (sqrt(s) minus m_bare) substantially changes the D0K+ correlation function, and that the position of the pole, whether m_bare sits below or above the DK threshold, produces a low-momentum peak or enhancement. In the coupled DK-D_s eta case, the D_s eta channel contributes little, while the D+K0 coupled channel matters. For X(3872), the D0Dbar*0 correlation function falls below unity in a compositeness-dependent way, and the bare-state dressing modifies both scattering length and effective range, with the effective range even becoming negative in some scenarios. The paper establishes a bijective (one-to-one) relationship between compositeness and correlation functions, at least within the model, by recovering the input compositeness from a fit to synthetic correlation-function points.

Load-bearing premise

The predicted lineshape differences rely on the assumption that a single Gaussian source of radius R = 1 fm and a contact-range interaction with a sharp cutoff q_max = 1 GeV accurately describes the low-momentum correlation function; if real sources are non-Gaussian or the cutoff dependence is stronger than modeled, the distinguishing features could wash out.

Editorial extensions

If this is right

  • If the D0K+ correlation function is measured in high-energy collisions, a low-momentum peak or enhancement would indicate the presence and position of a bare csbar state below or near the DK threshold.
  • The compositeness of the D_s0*(2317) could be extracted from the measured D0K+ correlation function, distinguishing a 100% DK molecule from a roughly 70% molecular mixture.
  • For the X(3872), measured D0Dbar*0 correlation functions would provide a compositeness diagnostic through the depth and sign of the correlation function below unity.
  • The D_s eta channel has negligible influence on the D0K+ correlation functions, so a single-channel DK analysis may suffice for this observable.

Reading between the lines

Editorial extensions of the paper, not claims the author makes directly.

  • The same formalism could be applied to other threshold-bound exotics, such as the T_cc tetraquark or candidate pentaquarks, to map out bare-state admixtures wherever a quark-model seed is suspected.
  • If future data resolve the low-momentum correlation function with high precision, the predicted peak position for a bare state could be converted into a mass measurement with accuracy limited by the source size R.
  • The sensitivity to cutoff and source size at low momentum suggests that combining correlation functions measured at several source sizes (from different collision systems) might isolate short-range from long-range contributions.
Share X Bluesky LinkedIn Reddit HN

Signed reviews

No signed human review yet.

Editorial analysis

A structured set of objections, weighed in public.

Desk editor's note, referee report, and a circularity audit.

Referee Report

4 major / 5 minor

Summary. The paper studies femtoscopic correlation functions as a probe of the internal structure of the D_s0*(2317) and X(3872) states. Using a contact-range effective field theory, the authors construct DK and Dbar*D potentials for four scenarios of D_s0*(2317) (pure molecule, molecule plus bare state, DK-D_s eta coupled channel, and the latter plus a bare state) by reproducing the known mass and an assumed compositeness. They then compute D0K+ correlation functions and find that the line shape depends on the molecular fraction and on the mass of the bare state. For X(3872), they use a similar zero-range model, with and without a bare charmonium state, and compute D0Dbar*0 correlation functions, claiming clearly distinguishable line shapes for different compositeness values. The paper also presents a synthetic-data inverse-problem exercise to extract compositeness from correlation functions.

Significance. If the predicted line-shape differences survive a broader variation of model inputs, the paper would establish femtoscopy as a genuinely useful discriminator of molecular versus compact content for D_s0*(2317) and X(3872), complementing spectroscopy and lattice QCD. The paper has concrete strengths: it works within a well-defined EFT framework, it compares the derived DK scattering lengths with lattice QCD results, and it explicitly tests the inversion of correlation functions into compositeness using synthetic data. These are useful proof-of-principle steps. The significance is currently limited, however, by the strong model dependence of the central claims: the potentials are fitted to the quantities whose sensitivity is then advertised, and the regulator and source-size dependence is not systematically quantified.

major comments (4)
  1. [Sec. III.A, Fig. 4 and Sec. III.B, Fig. 7] The central claim that the D0K+ correlation-function line shapes are 'clearly distinguishable' for different compositeness values is not supported by a robustness analysis. The authors choose q_max = 1 GeV and R = 1 fm, explicitly noting in Sec. III.A that R = 1 fm gives the largest deviation from unity, and they state in Sec. III.B that for smaller compositeness the low-momentum correlation function has a broad q_max dependence. Since the D_s0*(2317) scenarios of interest use P ~ 0.7, the separation between the P = 0.7 and P = 1 curves must be shown to exceed the bands obtained by scanning q_max (e.g., 0.5-1.5 GeV) and R (e.g., 0.5-2 fm). Without such a scan, the claimed discrimination could be an artifact of the selected regulator and source parameters rather than a robust observable signature.
  2. [Sec. III.C] The inverse-problem demonstration does not support the Summary's claim of a 'bijective relationship between compositeness and CFs'. The synthetic data are generated from the same potential model (Scenario IV) and fitted with the same functional form, the same q_max, and the same R, so the exercise tests the numerical stability of the fit, not whether a measured correlation function uniquely determines compositeness in a model-independent way. To support the stronger claim, the authors would need to show that alternative interaction models (different V forms, cutoffs, or additional coupled channels) that reproduce the same correlation function do not lead to different extracted compositeness, or that the extracted value is stable under such variations.
  3. [Sec. III.D, Figs. 9 and 10] The X(3872) correlation functions are computed with a single-channel zero-range model that yields r0 = 0.28 fm, which the authors acknowledge violates the Wigner bound for a zero-range interaction. Since X(3872) is a shallow bound state with a large scattering length, the low-momentum correlation function is sensitive to the effective range, and the acausal zero-range model may produce line shapes that differ from those of a causal model (e.g., the bare-state model, which gives r1 = -4.72 fm). The paper should either use a potential with r0 < 0 throughout the X(3872) section or explicitly demonstrate that the correlation-function predictions are insensitive to the effective range over the momentum range shown.
  4. [Sec. III.B, Eqs. (10)-(13) and Figs. 6-8] The channel basis used in the coupled-channel correlation-function calculations is not specified consistently. Equation (12) defines a potential matrix for DK-D_s eta, but the text in Sec. III.B attributes the coupled-channel effect on the correlation functions to D0K+ and D+K0 rather than to D_s eta. This makes it impossible to determine whether the T-matrix in Eq. (10) is evaluated in the (DK, D_s eta) basis or in a (D0K+, D+K0) basis, and it undermines the stated claim that the correlation functions are sensitive to D+K0 admixture. The authors should define the channels explicitly and, if D+K0 is included as a coupled channel, provide the corresponding potential matrix and loop functions.
minor comments (5)
  1. [Introduction] The name 'Godfrey-Isgur' is misspelled as 'Goldfrey-Isgur' in the first paragraph of the Introduction.
  2. [Sec. III.A] The sentence 'The corresponding CFs are shown in Fig. 7' appears to refer to Fig. 5, which displays the correlation functions for different bare-state masses; Fig. 7 shows the compositeness dependence in the coupled-channel case.
  3. [Sec. III.C] The phrase 'we take a point about every 2MeV at at momentum less than 40' contains a duplicated 'at' and the momentum value lacks units; it should presumably read 'every 2 MeV at momenta less than 40 MeV/c' or similar.
  4. [Sec. III.D] The text 'we obtain the scattering length a_D0Dbar*0 ≈ 19.58 fm and effective range r = -1 fm' uses 'r' without a subscript, inconsistent with Eq. (15); please use r0 or r1 consistently for the effective range.
  5. [Sec. III.B] The sentence 'we assume that the weights of the DK channel and the D_s eta channel are the same' is inconsistent with the immediately following ratio omega_DK/omega_Ds eta = 1/0.35 obtained from Eq. (21); please clarify which weights are assumed equal and which are obtained from the thermal-weight estimate.

Circularity Check

1 steps flagged · score 6.0 of 10

Partial circularity: the inverse-problem claim that compositeness is 'reliably extracted' from D0K+ CFs is a self-consistency loop (synthetic data generated and fit with the same Eq. (10)); the forward CF scenario predictions are model outputs, not circular.

  1. fitted input called prediction [Sec. III.C (Inverse problem) and Sec. IV Summary]
    "we employ a random sampling method to select multiple points from the DKCFs in Scenario IV, treating them as synthetic experimental data: ... then we fit these data with Eq.(10) to fix the parameter in the potential. ... By fitting the resampled data points, we obtain the potential parameters ... yielding a result of 0.698±0.06, which are in excellent agreement with the original input values."

    The 'data' are produced by the same coupled-channel formula Eq. (10) using the Scenario IV inputs (C_a=−95.32, α=8.56 GeV, P1=0.7) that the fit is then designed to recover. Fitting the forward model's own output with the same forward model and finding the input parameters back is a numerical round-trip, not an independent extraction. The summary conclusion that 'compositeness can be reliably extracted from the CFs' (Sec. IV) converts this self-consistency check into a predictive capability. No real experimental CF enters; the recovered P1=0.698 is the input P1=0.7 after inversion, so the 'prediction' is forced by construction.

full rationale

The forward-model parts of the paper are not circular: the D_s0*(2317) potentials are fixed by reproducing the mass and an assumed compositeness, and the D0K+ correlation functions are then computed from those potentials. The sensitivity of the lineshape to compositeness, the bare-state mass, and coupled-channel admixtures is a genuine forward-model consequence, not a renaming of the inputs. Likewise, the X(3872) CFs follow from an assumed potential and prescribed molecular fractions; the resulting line-shape differences are model outputs. The scattering-length comparison with lattice QCD provides external, independent support for the framework. The self-citations (e.g., Refs. [70], [77], [89]) are published prior results or standard Koonin-Pratt formalism, and the paper does not invoke a self-citation chain or uniqueness theorem to force its choices. The main circular element is the inverse-problem section: synthetic data generated from Eq. (10) are fit with Eq. (10), so recovering the input compositeness is a consistency check, not an empirical validation. Two additional caveats (not treated as formal circularity) weaken the headline sensitivity claims: R=1 fm is selected because it gives the largest deviation from unity, and qmax=1 GeV is a fixed regulator; the paper's own broad qmax bands for small compositeness mean the 'clearly distinguishable' line shapes at P~0.7 should be read as conditional on those favorable choices. The X(3872) zero-range result r0=0.28 fm also violates the Wigner bound, as the paper acknowledges, indicating a modeling limitation rather than a circular derivation. Overall, one constructed 'prediction' (the inverse extraction) reduces by construction, giving partial circularity; the central forward predictions retain independent content.

Assumptions & free parameters 6 free parameters · 5 assumptions · 0 invented entities

The central predictions rest on several fitted or hand-chosen parameters: the contact coupling, the bare-state coupling and mass, the assumed compositeness, the regulator cutoff, and the source radius. The axioms are standard femtoscopy and EFT inputs, plus a specific bare-state potential form. No genuinely new particle or force is introduced; the bare state is a known concept imported from quark models.

free parameters (6)
  • Contact coupling C_a for DK (and DbarD*) = C_a = -95.32 for Scenario IV; values for other scenarios not tabulated
    Fixed by requiring the T-matrix pole to reproduce the D_s0*(2317) mass, and in Scenarios II/IV also an assumed compositeness P (Sec. II, Eqs. (5), (6), (13)). The entire correlation-function prediction depends on this fitted coupling.
  • Bare-state coupling alpha = alpha = 8.56 GeV for Scenario IV; 8.41 +/- 0.72 GeV from synthetic fit
    Introduced in the energy-dependent bare-state potential V = alpha/(sqrt(s)-m_bare), Sec. II Eq. (6). Fixed together with C_a by the same mass and compositeness conditions.
  • Bare-state mass m_bare = 2.348 GeV and 2.368 GeV for D_s0*; 3.95 GeV for X(3872)
    Taken from the GI quark model or varied by hand. The claim that correlation functions can probe the bare-state position is a scan over this parameter (Sec. III A).
  • Assumed compositeness P = P = 0.7 for D_s0* in Scenarios II/IV; P1 = 0.8, P2 = 0.05 for X(3872)
    This is an input from theoretical estimates, not derived from data. The observed correlation-function differences across P values therefore reflect input choices rather than independent measurements.
  • Regulator cutoff q_max = 1 GeV central; 0.5-1.5 GeV for uncertainty bands
    Sharp cutoff regularizes the loop function and eG in Eqs. (2) and (4). Uncertainty bands are generated by varying it, but it remains a free EFT scale.
  • Source size R = 1 fm selected; 2, 3, 5 fm scanned
    Gaussian source radius in Eq. (1). The correlation-function shape depends strongly on R, and the paper selects R = 1 fm for the main analysis.
assumptions (5)
  • domain assumption The correlation function is given by the Koonin-Pratt formula with a single Gaussian source of radius R.
    Used in Sec. II, Eq. (1). The source shape in heavy-ion collisions may not be a pure Gaussian and is not measured for these channels.
  • domain assumption The strong interaction can be represented by a contact-range (zero-range) EFT potential with a sharp cutoff q_max.
    Sec. II, Eqs. (3)-(5). No explicit meson-exchange or finite-range terms are included; cutoff dependence is treated as uncertainty.
  • ad hoc to paper A bare c-anti-s state dressed by the DK continuum is parameterized by V = alpha/(sqrt(s)-m_bare) with coefficients A_i from SU(3).
    Sec. II, Eqs. (6) and (13). This is a particular functional form taken from Refs. [81,87]; it is not derived within the paper.
  • domain assumption The X(3872) is assumed to be a shallow D0Dbar*0 bound state, later mixed with a bare charmonium state.
    Sec. III D. All X(3872) correlation-function predictions inherit this assumption; no alternative interpretation is tested.
  • domain assumption The hadronization weights of different coupled channels are estimated by omega_i/omega_j = exp[-(m_i1+m_i2)/T*] with T* = 154 MeV.
    Sec. III B, Eq. (21). Used to test sensitivity to source weights; the formula is an estimate and is not verified for these specific channels.

how reviews work

0 comments
Cite this review

Pith. "Pith review of Probing the structure of the $D_{s 0}^*(2317)$ and $X(3872)$ states through correlation functions." pith.science (2026). https://pith.science/paper/UWO75EAV

@misc{pith2026250623476,
  author       = {Pith},
  title        = {Pith review of: Probing the structure of the $D_s 0^*(2317)$ and $X(3872)$ states through correlation functions},
  year         = {2026},
  howpublished = {\url{https://pith.science/paper/UWO75EAV}},
  note         = {Machine review of arXiv:2506.23476}
}
abstract

Over the past 20 years, many new hadron states have been discovered, but understanding their nature remains a key experimental and theoretical challenge. Recent studies have established that hadron-hadron interactions primarily govern the generation of new hadronic states, with their spectroscopy serving as a powerful tool for probing these interactions and determining the corresponding compositeness. In this work, we study four scenarios to determine the $DK$ interaction by reproducing the mass of the $D_{s0}^*(2317)$, i.e., assuming the $D_{s0}^*(2317)$ as a $DK$ molecule, a mixture of a $DK$ molecule and a bare state, a $DK-D_s\eta$ molecule, and a mixture of a $DK-D_s\eta$ molecule and a bare state. Using the $D^{0}K^{+}$ interactions derived from these scenarios, we predict the $D^{0}K^{+}$ correlation functions. Our results demonstrate that the lineshape of the $D^{0}K^{+}$ correlation function is sensitive to the admixture effects from the coupled-channel $D^+K^0$ and the bare state. Furthermore, we find that the $D^{0}K^{+}$ correlation function can probe the position of the bare state, if such a QCD bare state exists. Using the shallow-bound state candidate $X(3872)$ as input, we study the $D^0\bar{D}^{*0}$ correlation functions. These functions are highly sensitive to short-range dynamics and bare-state admixtures, resulting in clearly distinguishable correlation-function line shapes across different values of compositeness.

Figures

Figures reproduced from arXiv: 2506.23476 by the authors.

Figure 4
Figure 4. FIG. 4 [PITH_FULL_IMAGE:figures/full_fig_p004_4.png] view at source ↗
Figure 5
Figure 5. FIG. 5 [PITH_FULL_IMAGE:figures/full_fig_p004_5.png] view at source ↗
Figure 3
Figure 3. FIG. 3 [PITH_FULL_IMAGE:figures/full_fig_p004_3.png] view at source ↗
Figures from the paper (5 more)
Figure 8
Figure 8. Figure 8: FIG. 8 [PITH_FULL_IMAGE:figures/full_fig_p005_8.png]
Figure 7
Figure 7. Figure 7: FIG. 7 [PITH_FULL_IMAGE:figures/full_fig_p005_7.png]
Figure 9
Figure 9. Figure 9: , which are consistent with the general feature of CFs for a weakly bound state [67]. FIG. 9. D 0D¯ ∗0 CFs of the X(3872) in the single-channel case with￾out the dressing of a bare state. In addition to the neutral channel D0D¯ ∗0 , the charge chan￾nel D+D∗− is incorpo…
Figure 12
Figure 12. Figure 12: FIG. 12. The same as Fig. 10 but with the dressing of a bare state. [PITH_FULL_IMAGE:figures/full_fig_p007_12.png]
Figure 11
Figure 11. Figure 11: FIG. 11. The same as Fig. 9 but with the dressing of a bare state. [PITH_FULL_IMAGE:figures/full_fig_p007_11.png]

Discussion (0). Continue with ORCID to comment.

Forward citations

Cited by 2 Pith papers

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. Finding Low Star Discrepancy 3D Kronecker Point Sets Using Algorithm Configuration Techniques

    cs.NE 2026-04 unverdicted novelty 5.0 of 10

    Optimizing the two Kronecker parameters with irace yields new state-of-the-art L∞ star discrepancy for 3D point sets of size at least 500 and for ranges of sizes.

  2. Mass spectra and electromagnetic characteristics of the $K^{(*)}\bar D^{(*)}$ and $K^{(*)}{D}^{(*)}$ molecular tetraquarks from the coupled-channel dynamics

    hep-ph 2026-06 unverdicted novelty 4.0 of 10

    Using coupled-channel one-boson-exchange dynamics the authors predict several K(*) bar D(*) and K(*) D(*) molecular tetraquark candidates and their electromagnetic properties.

Reference graph

Works this paper leans on

90 extracted references · 9 canonical work pages · cited by 2 Pith papers

  1. [1]

    Eichten, K

    E. Eichten, K. Gottfried, T. Kinoshita, J. B. Kogut, K. D. Lane, and T.-M. Yan, Phys. Rev. Lett.34, 369 (1975), [Erratum: Phys.Rev.Lett. 36, 1276 (1976)]

  2. [2]

    G. S. Bali, Phys. Rept.343, 1 (2001), arXiv:hep-ph/0001312

  3. [3]

    Godfrey and N

    S. Godfrey and N. Isgur, Phys. Rev. D32, 189 (1985)

  4. [4]

    Capstick and N

    S. Capstick and N. Isgur, Phys. Rev. D34, 2809 (1986)

  5. [5]

    Gell-Mann, Phys

    M. Gell-Mann, Phys. Lett.8, 214 (1964)

  6. [6]

    Brambilla et al., Eur

    N. Brambilla et al., Eur. Phys. J. C71, 1534 (2011), arXiv:1010.5827 [hep-ph]

  7. [7]

    S. L. Olsen, T. Skwarnicki, and D. Zieminska, Rev. Mod. Phys. 90, 015003 (2018), arXiv:1708.04012 [hep-ph]

  8. [8]

    Brambilla, S

    N. Brambilla, S. Eidelman, C. Hanhart, A. Nefediev, C.-P. Shen, C. E. Thomas, A. Vairo, and C.-Z. Yuan, Phys. Rept. 873, 1 (2020), arXiv:1907.07583 [hep-ex]

Show all 90 references
  1. [9]

    H.-X. Chen, W. Chen, X. Liu, and S.-L. Zhu, Phys. Rept.639, 1 (2016), arXiv:1601.02092 [hep-ph]

  2. [10]

    R. F. Lebed, R. E. Mitchell, and E. S. Swanson, Prog. Part. Nucl. Phys.93, 143 (2017), arXiv:1610.04528 [hep-ph]

  3. [11]

    Oset et al., Int

    E. Oset et al., Int. J. Mod. Phys. E25, 1630001 (2016), arXiv:1601.03972 [hep-ph]

  4. [12]

    Esposito, A

    A. Esposito, A. Pilloni, and A. D. Polosa, Phys. Rept.668, 1 (2017), arXiv:1611.07920 [hep-ph]

  5. [13]

    Y . Dong, A. Faessler, and V . E. Lyubovitskij, Prog. Part. Nucl. Phys.94, 282 (2017)

  6. [14]

    F.-K. Guo, C. Hanhart, U.-G. Meißner, Q. Wang, Q. Zhao, and B.-S. Zou, Rev. Mod. Phys.90, 015004 (2018), [Erratum: Rev.Mod.Phys. 94, 029901 (2022)], arXiv:1705.00141 [hep- ph]

  7. [15]

    A. Ali, J. S. Lange, and S. Stone, Prog. Part. Nucl. Phys.97, 123 (2017), arXiv:1706.00610 [hep-ph]

  8. [16]

    Karliner, J

    M. Karliner, J. L. Rosner, and T. Skwarnicki, Ann. Rev. Nucl. Part. Sci.68, 17 (2018), arXiv:1711.10626 [hep-ph]

  9. [17]

    Guo, X.-H

    F.-K. Guo, X.-H. Liu, and S. Sakai, Prog. Part. Nucl. Phys.112, 103757 (2020), arXiv:1912.07030 [hep-ph]

  10. [18]

    Liu, Y .-W

    M.-Z. Liu, Y .-W. Pan, Z.-W. Liu, T.-W. Wu, J.-X. Lu, and L.-S. Geng, Phys. Rept.1108, 1 (2025), arXiv:2404.06399 [hep-ph]

  11. [19]

    Wang, Front

    Z.-G. Wang, Front. Phys. (Beijing)21, 016300 (2026), arXiv:2502.11351 [hep-ph]

  12. [20]

    D ¨oring, J

    M. D ¨oring, J. Haidenbauer, M. Mai, and T. Sato, Prog. Part. Nucl. Phys.146, 104213 (2026), arXiv:2505.02745 [nucl-th]

  13. [21]

    Aubert et al

    B. Aubert et al. (BaBar), Phys. Rev. Lett.90, 242001 (2003), arXiv:hep-ex/0304021

  14. [22]

    S. K. Choi et al. (Belle), Phys. Rev. Lett.91, 262001 (2003), arXiv:hep-ex/0309032

  15. [23]

    Ablikim et al

    M. Ablikim et al. (BESIII), Phys. Rev. D97, 051103 (2018), arXiv:1711.08293 [hep-ex]

  16. [24]

    Godfrey, Phys

    S. Godfrey, Phys. Lett. B568, 254 (2003), arXiv:hep- ph/0305122

  17. [25]

    Colangelo and F

    P. Colangelo and F. De Fazio, Phys. Lett. B570, 180 (2003), arXiv:hep-ph/0305140

  18. [26]

    Colangelo, F

    P. Colangelo, F. De Fazio, and A. Ozpineci, Phys. Rev. D72, 074004 (2005), arXiv:hep-ph/0505195

  19. [27]

    P. G. Ortega, J. Segovia, D. R. Entem, and F. Fernandez, Phys. Rev. D94, 074037 (2016), arXiv:1603.07000 [hep-ph]

  20. [28]

    Albaladejo, P

    M. Albaladejo, P. Fernandez-Soler, J. Nieves, and P. G. Ortega, Eur. Phys. J. C78, 722 (2018), arXiv:1805.07104 [hep-ph]

  21. [29]

    S.-Q. Luo, B. Chen, X. Liu, and T. Matsuki, Phys. Rev. D103, 074027 (2021), arXiv:2102.00679 [hep-ph]

  22. [30]

    Yang, G.-J

    Z. Yang, G.-J. Wang, J.-J. Wu, M. Oka, and S.-L. Zhu, Phys. Rev. Lett.128, 112001 (2022), arXiv:2107.04860 [hep-ph]

  23. [31]

    Mart´ınez Torres, E

    A. Mart´ınez Torres, E. Oset, S. Prelovsek, and A. Ramos, JHEP 05, 153 (2015), arXiv:1412.1706 [hep-lat]

  24. [32]

    Guo, U.-G

    Z.-H. Guo, U.-G. Meißner, and D.-L. Yao, Phys. Rev. D92, 094008 (2015), arXiv:1507.03123 [hep-ph]

  25. [33]

    Yao, M.-L

    D.-L. Yao, M.-L. Du, F.-K. Guo, and U.-G. Meißner, JHEP11, 058 (2015), arXiv:1502.05981 [hep-ph]

  26. [34]

    Guo, PoSLA TTICE2022, 232 (2023)

    F.-K. Guo, PoSLA TTICE2022, 232 (2023)

  27. [35]

    Gil-Dom ´ınguez and R

    F. Gil-Dom ´ınguez and R. Molina, Phys. Rev. D109, 096002 (2024), arXiv:2306.01848 [hep-ph]

  28. [36]

    Aaij et al

    R. Aaij et al. (LHCb), Phys. Rev. D102, 092005 (2020), arXiv:2005.13419 [hep-ex]

  29. [37]

    Ablikim et al

    M. Ablikim et al. (BESIII), Phys. Rev. Lett.132, 151903 (2024), arXiv:2309.01502 [hep-ex]

  30. [38]

    B. S. Zou, Nucl. Phys. A914, 454 (2013), arXiv:1301.1128 [hep-ph]

  31. [39]

    Inoue, N

    T. Inoue, N. Ishii, S. Aoki, T. Doi, T. Hatsuda, Y . Ikeda, K. Mu- rano, H. Nemura, and K. Sasaki (HAL QCD), Phys. Rev. Lett. 106, 162002 (2011), arXiv:1012.5928 [hep-lat]

  32. [40]

    Y . Lyu, S. Aoki, T. Doi, T. Hatsuda, Y . Ikeda, and J. Meng, Phys. Rev. Lett.131, 161901 (2023), arXiv:2302.04505 [hep- lat]

  33. [41]

    Bulava et al

    J. Bulava et al. (Baryon Scattering (BaSc)), Phys. Rev. Lett. 132, 051901 (2024), arXiv:2307.10413 [hep-lat]

  34. [42]

    H. Xing, J. Liang, L. Liu, P. Sun, and Y .-B. Yang, (2022), arXiv:2210.08555 [hep-lat]

  35. [43]

    Shi, F.-K

    P.-P. Shi, F.-K. Guo, C. Liu, L. Liu, P. Sun, J.-J. Wu, and H. Xing, (2025), arXiv:2502.07438 [hep-lat]

  36. [44]

    L. Liu, K. Orginos, F.-K. Guo, C. Hanhart, and U.-G. Meissner, Phys. Rev.D87, 014508 (2013), arXiv:1208.4535 [hep-lat]

  37. [45]

    Mohler, C

    D. Mohler, C. B. Lang, L. Leskovec, S. Prelovsek, and R. M. Woloshyn, Phys. Rev. Lett.111, 222001 (2013), arXiv:1308.3175 [hep-lat]

  38. [46]

    C. B. Lang, L. Leskovec, D. Mohler, S. Prelovsek, and R. M. Woloshyn, Phys. Rev. D90, 034510 (2014), arXiv:1403.8103 [hep-lat]

  39. [47]

    G. S. Bali, S. Collins, A. Cox, and A. Sch ¨afer, Phys. Rev. D96, 074501 (2017), arXiv:1706.01247 [hep-lat]

  40. [48]

    Alexandrou, J

    C. Alexandrou, J. Berlin, J. Finkenrath, T. Leontiou, and M. Wagner, Phys. Rev. D101, 034502 (2020), arXiv:1911.08435 [hep-lat]

  41. [49]

    Fabbietti, V

    L. Fabbietti, V . Mantovani Sarti, and O. Vazquez Doce, Ann. Rev. Nucl. Part. Sci.71, 377 (2021), arXiv:2012.09806 [nucl- ex]

  42. [50]

    Liu, J.-X

    Z.-W. Liu, J.-X. Lu, and L.-S. Geng, PoSQNP2024, 044 (2025)

  43. [51]

    Adamczyk et al

    L. Adamczyk et al. (STAR), Phys. Rev. Lett.114, 022301 (2015), arXiv:1408.4360 [nucl-ex]

  44. [52]

    Adamczyk et al

    L. Adamczyk et al. (STAR), Nature527, 345 (2015), arXiv:1507.07158 [nucl-ex]

  45. [53]

    Acharya et al

    S. Acharya et al. (ALICE), Phys. Rev. Lett.124, 092301 (2020), arXiv:1905.13470 [nucl-ex]

  46. [54]

    Acharya et al

    S. Acharya et al. (ALICE), Phys. Rev. Lett.123, 112002 (2019), arXiv:1904.12198 [nucl-ex]

  47. [55]

    Collaboration et al

    A. Collaboration et al. (ALICE), Nature588, 232 (2020), [Er- 9 ratum: Nature 590, E13 (2021)], arXiv:2005.11495 [nucl-ex]

  48. [56]

    Acharya et al

    S. Acharya et al. (ALICE), Phys. Rev. Lett.127, 172301 (2021), arXiv:2105.05578 [nucl-ex]

  49. [57]

    Morita, T

    K. Morita, T. Furumoto, and A. Ohnishi, Phys. Rev. C91, 024916 (2015), arXiv:1408.6682 [nucl-th]

  50. [58]

    Morita, A

    K. Morita, A. Ohnishi, F. Etminan, and T. Hatsuda, Phys. Rev. C94, 031901 (2016), [Erratum: Phys.Rev.C 100, 069902 (2019)], arXiv:1605.06765 [hep-ph]

  51. [59]

    Ohnishi, K

    A. Ohnishi, K. Morita, K. Miyahara, and T. Hyodo, Nucl. Phys. A954, 294 (2016), arXiv:1603.05761 [nucl-th]

  52. [60]

    Haidenbauer, Nucl

    J. Haidenbauer, Nucl. Phys. A981, 1 (2019), arXiv:1808.05049 [hep-ph]

  53. [61]

    Morita, S

    K. Morita, S. Gongyo, T. Hatsuda, T. Hyodo, Y . Kamiya, and A. Ohnishi, Phys. Rev. C101, 015201 (2020), arXiv:1908.05414 [nucl-th]

  54. [62]

    Kamiya, T

    Y . Kamiya, T. Hyodo, K. Morita, A. Ohnishi, and W. Weise, Phys. Rev. Lett.124, 132501 (2020), arXiv:1911.01041 [nucl- th]

  55. [63]

    Ogata, T

    K. Ogata, T. Fukui, Y . Kamiya, and A. Ohnishi, Phys. Rev. C 103, 065205 (2021), arXiv:2103.00100 [nucl-th]

  56. [64]

    Kamiya, K

    Y . Kamiya, K. Sasaki, T. Fukui, T. Hyodo, K. Morita, K. Ogata, A. Ohnishi, and T. Hatsuda, Phys. Rev. C105, 014915 (2022), arXiv:2108.09644 [hep-ph]

  57. [65]

    Haidenbauer and U.-G

    J. Haidenbauer and U.-G. Meißner, Phys. Lett. B829, 137074 (2022), arXiv:2109.11794 [nucl-th]

  58. [66]

    Liu, K.-W

    Z.-W. Liu, K.-W. Li, and L.-S. Geng, Chin. Phys. C47, 024108 (2023), arXiv:2201.04997 [hep-ph]

  59. [67]

    Liu, J.-X

    Z.-W. Liu, J.-X. Lu, and L.-S. Geng, Phys. Rev. D107, 074019 (2023), arXiv:2302.01046 [hep-ph]

  60. [68]

    Liu, J.-X

    Z.-W. Liu, J.-X. Lu, M.-Z. Liu, and L.-S. Geng, Phys. Rev. D 108, L031503 (2023), arXiv:2305.19048 [hep-ph]

  61. [69]

    Molina, Z.-W

    R. Molina, Z.-W. Liu, L.-S. Geng, and E. Oset, Eur. Phys. J. C 84, 328 (2024), arXiv:2312.11993 [hep-ph]

  62. [70]

    Liu, J.-X

    Z.-W. Liu, J.-X. Lu, M.-Z. Liu, and L.-S. Geng, Sci. Bull.70, 3515 (2025), arXiv:2404.18607 [hep-ph]

  63. [71]

    Ge, Z.-W

    D.-L. Ge, Z.-W. Liu, J.-X. Lu, and L.-S. Geng, Phys. Rev. C 112, 034003 (2025), arXiv:2502.18872 [nucl-th]

  64. [72]

    Epelbaum, S

    E. Epelbaum, S. Heihoff, U.-G. Meißner, and A. Tscherwon, (2025), arXiv:2504.08631 [nucl-th]

  65. [73]

    G ¨obel and A

    M. G ¨obel and A. Kievsky, Phys. Lett. B869, 139835 (2025), arXiv:2505.13433 [nucl-th]

  66. [74]

    Molina and E

    R. Molina and E. Oset, Phys. Rev. D112, 096006 (2025), arXiv:2506.03669 [hep-ph]

  67. [75]

    Weinberg, Phys

    S. Weinberg, Phys. Rev.130, 776 (1963)

  68. [76]

    Weinberg, Phys

    S. Weinberg, Phys. Rev.137, B672 (1965)

  69. [77]

    Wu, M.-Z

    T.-W. Wu, M.-Z. Liu, and L.-S. Geng, Phys. Rev. Lett.135, 031902 (2025), arXiv:2501.11358 [hep-ph]

  70. [78]

    S. E. Koonin, Phys. Lett. B70, 43 (1977)

  71. [79]

    Pratt, T

    S. Pratt, T. Csorgo, and J. Zimanyi, Phys. Rev. C42, 2646 (1990)

  72. [80]

    Liu, D.-L

    Z.-W. Liu, D.-L. Ge, J.-X. Lu, M.-Z. Liu, and L.-S. Geng, Phys. Rev. D112, 054019 (2025), arXiv:2504.04853 [hep-ph]

  73. [81]

    P.-P. Shi, M. Albaladejo, M.-L. Du, F.-K. Guo, and J. Nieves, Phys. Rev. D111, 074043 (2025), arXiv:2410.19563 [hep-ph]

  74. [82]

    Ikeno, G

    N. Ikeno, G. Toledo, and E. Oset, Phys. Lett. B847, 138281 (2023), arXiv:2305.16431 [hep-ph]

  75. [83]

    Li, J.-Y

    H.-P. Li, J.-Y . Yi, C.-W. Xiao, D.-L. Yao, W.-H. Liang, and E. Oset, Chin. Phys. C48, 053107 (2024), arXiv:2401.14302 [hep-ph]

  76. [84]

    Guo, P.-N

    F.-K. Guo, P.-N. Shen, H.-C. Chiang, R.-G. Ping, and B.- S. Zou, Phys. Lett.B641, 278 (2006), arXiv:hep-ph/0603072 [hep-ph]

  77. [85]

    Altenbuchinger, L

    M. Altenbuchinger, L. S. Geng, and W. Weise, Phys. Rev. D 89, 014026 (2014), arXiv:1309.4743 [hep-ph]

  78. [86]

    J.-X. Lin, J. Song, M. Albaladejo, A. Feijoo, and E. Oset, Phys. Rev. D112, 014044 (2025), arXiv:2505.15650 [hep-ph]

  79. [87]

    Gamermann, E

    D. Gamermann, E. Oset, D. Strottman, and M. J. Vicente Va- cas, Phys. Rev.D76, 074016 (2007), arXiv:hep-ph/0612179 [hep-ph]

  80. [88]

    Matuschek, V

    I. Matuschek, V . Baru, F.-K. Guo, and C. Hanhart, Eur. Phys. J. A57, 101 (2021), arXiv:2007.05329 [hep-ph]

  81. [89]

    Shen, M.-Z

    Y .-B. Shen, M.-Z. Liu, Z.-W. Liu, and L.-S. Geng, Phys. Rev. D111, 034001 (2025), arXiv:2409.06409 [hep-ph]

  82. [90]

    Baru, X.-K

    V . Baru, X.-K. Dong, M.-L. Du, A. Filin, F.-K. Guo, C. Han- hart, A. Nefediev, J. Nieves, and Q. Wang, Phys. Lett. B833, 137290 (2022), arXiv:2110.07484 [hep-ph]

Pith tools

Reviewed August 6, 2026 · model on record in the stance chip above.