collaborators

19 papers

cs.AI2026

Ontology-Grounded Project Memory for Coding Agents

James Adam

Coding agents have become the primary means of generating new code in many software projects, and the resulting velocity of changes makes keeping track of the reasons behind those…

math.AT2026

On the Sequential topological complexity of directed (parametrized) motion planning algorithms

Navnath Daundkar, Abhishek Sarkar, Ankur Sarkar

We introduce sequential analogues of directed (parametrized) topological complexity, in the context of motion planning problems requiring a system to traverse a prescribed sequence…

math.AT2026

Monoidal and symmetrized parametrized topological complexity

Ramandeep Singh Arora, Navnath Daundkar

We introduce and study monoidal and symmetrized versions of parametrized topological complexity. First, we develop parametrized analogues of the monoidal topological complexity the…

math.AT2026

New Bounds on Distributional Sectional Category and Applications to Distributional Homotopic Distance

Navnath Daundkar, J. M. García-Calcines

In this paper, we establish several new bounds for the distributional sectional category (). We first prove Jauhari's conjecture, thereby establishing a cohomologi…

math.AT2026

Discrete version of topological complexity of maps

Sutirtha Datta, Navnath Daundkar, Abhishek Sarkar +1

We introduce and study discrete analogs of Scott's and Murillo-Wu's topological complexity of maps. We prove that these discrete analogs are contiguity invariants and are, in fact,…

math.AT2026

On the complexity of parametrized motion planning algorithms

Navnath Daundkar, Ekansh Jauhari

We study a probabilistic variant of the r-th sequential parametrized topological complexity, which bounds this classical invariant from below and measures the difficulty in constru…