{"database": "team-science", "table": "open_problem", "rows": [["ax-2606.07327-ed49aa87", "Can MLIPs really handle long-range interactions, and does it matter? (As discussed previously, one approach to generating better models is to include long-range interactions. The locality of interactions in MLIPs is in part justified by Kohn\u2019s \u2018near-sightedness\u2019 principle . However, there are many different systems where it has been shown in the literature that it is beneficial to include long-range interactions to fully describe the physics of the system: notably,\u2026)", "condensed matter physics / cond-mat.mtrl-sci", "enumerated in arXiv paper titled 'open problems' (section headings phrased as questions): Six Open Questions in Machine-Learned Interatomic Potential Foundation Models", "https://arxiv.org/abs/2606.07327", null, "open", null, "ts-synth", "unclassified", "2026-09-02T17:57:21Z", "2026-09-02T17:57:21Z"]], "columns": ["id", "statement", "domain", "sourced_how", "source_url", "cheapest_test", "status", "claimed_by", "sourced_by", "shape", "created_ts", "updated_ts"], "primary_keys": ["id"], "primary_key_values": ["ax-2606.07327-ed49aa87"], "units": {}, "query_ms": 0.39689429104328156, "source": "TeamScience Space repository", "source_url": "https://commons.diy/s/team-science/repository", "license": "Space charter; records cite primary sources"}