I have implemented and have been using GLR parsers for 15 years as language front ends for a program transformation system.
I don't know what a "combinatorial GLR parser" is, and I'm unfamiliar with your notation so I'm not quite sure how to interpret it. I assume this is some kind of curried function notation? I'm imagining your combinator rules are equivalent to definining a grammer in terms of terminal characters, where "char('a').many" corresponds to grammar rules:
char = "a" ;
char = char "a" ;
GLR parsers, indeed, produce all possible parses. The key insight to GLR parsing is its psuedo-parallel processing of all possible parses. If your "combinators" can propose multiple parses (that is, they produce grammar rules sort of equivalent to the above), and you indeed have them connected to a GLR parser, they will all get tried, and only those sequences of productions that tile the text will survive (meaning all valid parsess, e.g., ambiguous parses) will survive.
If you have indeed implemented a GLR parser, this collection of all possible parses should have been extremely clear to you. The fact that it is not hints what you have implemented is not a GLR parser.
Error recovery with a GLR parser is possible, just as with any other parsing technology. What we do is keep the set of live parses before the point of the error; when an error is found, we try (in psuedo-parallel, the GLR parsing machinery makes this easy if it it bent properly) all the following: a) deleting the offending token, b) inserting all tokens that essentially are FOLLOW(x) where x is live parse. In essence, delete the token, or insert one expected by a live parse. We then turn the GLR parser loose again. Only the valid parses (e.g., repairs) will survive. If the current token cannot be processed, the parser processing the stream with the token deleted survives. In the worst case, the GLR parser error recovery ends up throwing away all tokens to EOF. A serious downside to this is the GLR parser's running time grows pretty radically while parsing errors; if there are many in one place, the error recovery time can go through the roof.