diff --git a/Manuscript/stochastic_triples.bib b/Manuscript/stochastic_triples.bib
index e311324..15e3f46 100644
--- a/Manuscript/stochastic_triples.bib
+++ b/Manuscript/stochastic_triples.bib
@@ -237,13 +237,14 @@ i@article{watson_2016,
 	issn = {1549-9618},
 	publisher = {American Chemical Society},
 	doi = {10.1021/acs.jctc.9b00176},
-        note = {\url{https://archive.softwareheritage.org/swh:1:dir:6d82ae7ac757c78d7720dd89dfa52d7a453d2f68;origin=https://github.com/QuantumPackage/qp2;visit=swh:1:snp:1f9d307c45a14259eea8991c328065400029b975;anchor=swh:1:rev:c63b69e8dac8017d6415df602c5f7f5c02e35a2a;path=/src/ccsd/}}
+        note = {\url{
+swh:1:dir:6d82ae7ac757c78d7720dd89dfa52d7a453d2f68;origin=https://github.com/QuantumPackage/qp2;visit=swh:1:snp:402c2c2b30ef63cfd75b7a985700bc794ff07859;anchor=swh:1:rev:0c8845f5f208e1c405a6aa5aba1ceb276ddbdcdf;path=/src/ccsd/}}
 }
 
 @misc{form_w_abc,
   title = {Formation of the {$W$} tensor in Quantum Package},
   year = {2024},
-  note = {\url{https://archive.softwareheritage.org/swh:1:cnt:12a71045f2333584fe7b499f1c70b5ff2dc4989c;origin=https://github.com/QuantumPackage/qp2;visit=swh:1:snp:1f9d307c45a14259eea8991c328065400029b975;anchor=swh:1:rev:c63b69e8dac8017d6415df602c5f7f5c02e35a2a;path=/src/ccsd/ccsd_t_space_orb_abc.irp.f;lines=233-395}}
+  note = {\url{https://archive.softwareheritage.org/swh:1:cnt:12a71045f2333584fe7b499f1c70b5ff2dc4989c;origin=https://github.com/QuantumPackage/qp2;visit=swh:1:snp:402c2c2b30ef63cfd75b7a985700bc794ff07859;anchor=swh:1:rev:0c8845f5f208e1c405a6aa5aba1ceb276ddbdcdf;path=/src/ccsd/ccsd_t_space_orb_abc.irp.f;lines=233-395}} 
 }
 
 
diff --git a/Manuscript/stochastic_triples.tex b/Manuscript/stochastic_triples.tex
index e6ce00f..5b52edb 100644
--- a/Manuscript/stochastic_triples.tex
+++ b/Manuscript/stochastic_triples.tex
@@ -376,7 +376,7 @@ less precise data points. These findings are supported by an analysis of
 machine learning models, where noise not only helped improve model accuracy but
 also enabled error estimation in model predictions.
 Similarly to QMC, our semi-stochastic formulation could take advantage of many
-low-accuracy points.
+points computed with a low accuracy.
 
 
 In this section, we discuss the application of our novel algorithm within the context of computing vibrational frequencies, specifically through the example of copper chloride (\ce{CuCl}).