diff --git a/BUGs b/BUGs
index 6b9c263..80248bf 100644
--- a/BUGs
+++ b/BUGs
@@ -1,6 +1,6 @@
 ### Next: 15
 BUG-11: Ai ref img jobs are not able to be "re-run"
-    - only need to calc refimgs once (so timestamp in refimg and check it)
+    DONE - only need to calc refimgs once (so timestamp in refimg and check it) 
     - if we re-run a process AI job and no file changes, then don't process (as above)
     - if we do see a new file/updated file, should delete all FPLs then insert new
     -- probably should insert new into a file.people.append(...), rather than FPL direct
diff --git a/TODO b/TODO
index 21aa9c6..ce1384c 100644
--- a/TODO
+++ b/TODO
@@ -1,5 +1,7 @@
 ## DB	
-        NEW_FILE -> add, has_unidentified_face 
+        should FPL really be EPL?
+
+        FILE -> add, has_unidentified_face 
             ?has_face?, 
 
         AI_SCAN:
diff --git a/pa_job_manager.py b/pa_job_manager.py
index 27c9e09..34f8b36 100644
--- a/pa_job_manager.py
+++ b/pa_job_manager.py
@@ -147,9 +147,10 @@ class Refimg(Base):
     id = Column(Integer, Sequence('refimg_id_seq'), primary_key=True )
     fname = Column(String(256), unique=True, nullable=False)
     encodings = Column(LargeBinary)
+    created_on = Column(Float)
 
     def __repr__(self):
-        return "<id: {}, fname: {}, encodings: {}>".format(self.id, self.fname, self.encodings )
+        return f"<id: {id}, fname: {fname}, created_on: {created_on}, encodings: {encodings}>"
 
 class File_Person_Link(Base):
     __tablename__ = "file_person_link"
@@ -545,10 +546,16 @@ def generateUnknownEncodings(im):
 
 def generateKnownEncodings(person):
     for refimg in person.refimg:
-        img = face_recognition.load_image_file('reference_images/'+refimg.fname)
+        file = 'reference_images/'+refimg.fname
+        stat = os.stat(file)
+        if refimg.created_on and stat.st_ctime < refimg.created_on:
+            print("DEBUG: skipping re-creating encoding for refimg because file has changed since we did this before")
+            continue
+        img = face_recognition.load_image_file(file)
         location = face_recognition.face_locations(img)
         encodings = face_recognition.face_encodings(img, known_face_locations=location)
         refimg.encodings = encodings[0].tobytes()
+        refimg.created_on = time.time()
         session.add(refimg)
     session.commit()
 
diff --git a/tables.sql b/tables.sql
index ad17e7f..da88025 100644
--- a/tables.sql
+++ b/tables.sql
@@ -25,6 +25,7 @@ create table PERSON ( ID integer, TAG varchar(48), FIRSTNAME varchar(48), SURNAM
     constraint PK_PERSON_ID primary key(ID) );
 
 create table REFIMG ( ID integer, FNAME varchar(256), ENCODINGS bytea,
+    CREATED_ON fLOAT,
     constraint PK_REFIMG_ID primary key(ID) );
 
 create table FILE_PERSON_LINK ( FILE_ID integer, PERSON_ID integer,