diff --git a/latextable.py b/latextable.py
index 086be7b5ccbd8ae8710f9c5760df19452fb4e919..d186870fe7b1e3945436d6a9b8e72c9abf70d0d9 100644
--- a/latextable.py
+++ b/latextable.py
@@ -34,7 +34,7 @@ syn = {
     "homotopycontinuation": "HomotopyContinuation.jl",
     "macaulay2": "Macaulay2",
     "sirocco": "SIROCCO",
-    "pathjump": "jump",
+    "pathjump": "jump.",
     "maxwmeanprec": "w. mean",
     "maxprec": "max.",
 }
diff --git a/synthesize.sage b/synthesize.sage
index db8b924a930f48ea112fff1a5c32fba9c69e64b5..2eb8a3053eed7d27fc6632908371b00f50c1bb46 100644
--- a/synthesize.sage
+++ b/synthesize.sage
@@ -158,15 +158,18 @@ def degrees(data):
     return [A(f).subs(t=0).degree() for f in d["system"]]
 
 # takes a list of degrees
+
+
 def tot_degree(degrees):
     deg_dict = {}
     for d in degrees:
         if d not in deg_dict:
             deg_dict[d] = 0
         deg_dict[d] += 1
-        
+
     return "$" + " \\cdot ".join([f"{d}" + f"^{{{deg_dict[d]}}}"*(deg_dict[d] > 1) for d in deg_dict if d > 1]) + "$"
 
+
 def instructions(data, derivative=False):
     function = "f" if not derivative else "df"
     for pkg in ["algpath", "adaptive"]:
@@ -184,9 +187,18 @@ def name(data):
     else:
         name = data_names[0]
 
-    name = name.split("-")[0]
+    type = name.split("-")
+    if type[0] == "wilkinson":
+        name = f"$W_{{{type[2]}}}" + " + 1"*(type[1] == "eps") + "$"
+    elif type[0] == "clustered":
+        name = type[0] + f" ({type[1]}, {type[2]}, {type[3]})"
+    elif type[0] == "sumpowlin":
+        name = "structured"
+    else:
+        name = type[0]
+
     name += " *"*("random" in data) + \
-        " \\textsuperscript{N}"*("newton" in data) + " \\textsuperscript{F}"*("factorized" in data)
+        " \\textsuperscript{N}"*("newton" in data)
     return name
 
 
@@ -205,12 +217,14 @@ data_stats = {
     "htype": lambda data: "N" if data.split("_")[0] == "newton" else ("T" if data.split("_")[0] == "linear" else "?")
 }
 
+
 def median(L):
     if L:
         return numpy.median(L)
     else:
         return None
 
+
 result_stats = {
     "failures": lambda res: "\\textbf{" + str(res["failures"]) + "}" if res["failures"] != 0 else "",
     "tottime": lambda res: time_format_2(res["overheadtime"]) if "overheadtime" in res else time_format_2(res["time"]),
@@ -222,8 +236,8 @@ result_stats = {
     "meansteps": lambda res: steps_format(round(numpy.mean([int(p) for p in res["steplist"] if p is not None]), 1)),
     "stdsteps": lambda res: steps_format(round(numpy.std([int(p) for p in res["steplist"] if p is not None]), 1)),
     "medsteps": lambda res: steps_format(median([int(p) for p in res["steplist"] if p is not None])),
-    "minsteps": lambda res: steps_format(min([int(p) for p in res["steplist"] if p is not None], default = None)),
-    "maxsteps": lambda res: steps_format(max([int(p) for p in res["steplist"] if p is not None], default = None)),
+    "minsteps": lambda res: steps_format(min([int(p) for p in res["steplist"] if p is not None], default=None)),
+    "maxsteps": lambda res: steps_format(max([int(p) for p in res["steplist"] if p is not None], default=None)),
     "q1steps": lambda res: steps_format(round(numpy.quantile([int(p) for p in res["steplist"] if p is not None], 0.25), 1)),
     "q3steps": lambda res: steps_format(round(numpy.quantile([int(p) for p in res["steplist"] if p is not None], 0.75), 1)),
     "maxprec": lambda res: str(max([int(p) for p in res["maxpreclist"]])),
diff --git a/tables/issac_2025/entries.json b/tables/issac_2025/entries.json
index 6cfd0ce15a8857686a51c3e4c0b90b7c6909a5af..669c3c7b6ebe97a96db034630815a838ba9e9e99 100644
--- a/tables/issac_2025/entries.json
+++ b/tables/issac_2025/entries.json
@@ -17,7 +17,7 @@
         "clustered-10-5-10/1"
     ],
     "packages": [
-	"homotopycontinuation"
+        "homotopycontinuation"
     ],
     "header": {
         "val": "root",
@@ -50,17 +50,12 @@
                         "children": []
                     },
                     {
-                        "val": "steps",
-                        "children": [
-                            {
-                                "val": "medsteps",
-                                "children": []
-                            },
-                            {
-                                "val": "maxsteps",
-                                "children": []
-                            }
-                        ]
+                        "val": "medsteps",
+                        "children": []
+                    },
+                    {
+                        "val": "maxsteps",
+                        "children": []
                     }
                 ]
             },
@@ -72,33 +67,19 @@
                         "children": []
                     },
                     {
-                        "val": "prec",
-                        "children": [
-                            {
-                                "val": "maxprec",
-                                "children": []
-                            },
-                            {
-                                "val": "maxwmeanprec",
-                                "children": []
-                            }
-                        ]
+                        "val": "maxprec",
+                        "children": []
                     },
                     {
-                        "val": "steps",
-                        "children": [
-                            {
-                                "val": "medsteps",
-                                "children": []
-                            },
-                            {
-                                "val": "maxsteps",
-                                "children": []
-                            }
-                        ]
+                        "val": "medsteps",
+                        "children": []
+                    },
+                    {
+                        "val": "maxsteps",
+                        "children": []
                     }
                 ]
             }
         ]
     }
-}
+}
\ No newline at end of file