Set-up. Consider a random walk $S_n=\sum_{i=1}^n X_i$, where $\{ X_i, 1\leq i < \infty \} $ is a sequence of i.i.d. random variables with distribution $\mu$, $\mathbb{E}X_1 = 0$. Let $a > 0$. Given $|S_n| \leq a $, the random variables $X_1, X_2, ..., X_n$ are still identically distributed (because of the invariance under permutations), but they are not independent.
Question. Is it always true that the convergence in distribution takes place:
$$ X_1 \Big| \{|S_n| \leq a\} \Rightarrow X_1 \ \ \ \text{ as } n\to \infty \ ? \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ (1) $$
Some thoughts. On the left hand side of (1) is the conditional distribution of $X_1$ given $\{|S_n| \leq a\}$. For instance if $\mu = \frac 12 \delta _1 + \frac 12\delta _{-1}$, then (1) is not difficult to prove. What about the general case? This question is remotely related to these two questions: one and two.
Proof idea (based on Thomas Kojar's comment) Set $R_n = S_n - X_1$. For a Borel set $B\subset \mathbb{R}$ we have
$$ \mathbb{P} \{ X_1 \in B, -a \leq S_n \leq a \} = \mathbb{E} \Big( \mathbf{I}\{ X_1 \in B \} \mathbb{E} \big[ \mathbf{I}\{ -a - X_1 \leq R_n \leq a - X_1 \} \big| X_1 \big]\Big). $$ Therefore if for all $M > 0$ $$ \sup\limits _{b \in [-M,M]} \big|\ln \mathbb{P} \{ -a - b \leq R_n \leq a - b \} - \ln \mathbb{P} \{ -a \leq R_n \leq a \}\big| \to 0, \ \ \ n \to \infty \ \ \ \ \ \ \ (2) $$ then $\mathbb{E} \big[ \mathbf{I}\{ -a - X_1 \leq R_n \leq a - X_1 \} \big| X_1 \big]$ is approximately $\mathbb{P} \{ -a \leq R_n \leq a \} $ and (1) follows. Now, (2) is a consequence of Stone's local limit theorem, at least for a wide class of non-lattice distributions $\mu$.