{"slug":"same-different","label":"Same Different","item_count":4,"day_count":3,"source_count":2,"first_seen":"2026-10-22T08:25:51+00:00","last_updated":"2026-11-01T14:22:25+00:00","generated_at":"2026-11-02T00:17:23.998832+00:00","sources":["arxiv_llm_reliability","hackernews_ai"],"days":[{"date":"2026-10-22","items":[{"title":"Same molecule, Different Knowledge: Cross-Identifier Binding Failures in LLMs For chemistry","url":"http://arxiv.org/abs/2610.30903v1","source":"arxiv_llm_reliability","type":"paper","summary_1line":"Chemical AI workflows routinely represent the same molecule through multiple co-referring identifiers, including trivial names, IUPAC names, and SMILES, implicitly assuming that these representations provide interchan...","why_it_matters":"Matches feed focus: eval.","sid":"615493c68bfd12ef","published":"2026-10-22T08:25:51+00:00"},{"title":"Same Luck, Different Choice: Twin-World Credit Assignment for Agentic Reinforcement Learning","url":"http://arxiv.org/abs/2610.31544v1","source":"arxiv_llm_reliability","type":"paper","summary_1line":"Agentic reinforcement learning rewards a complete episode, yet the policy needs credit for every decision inside it. Counterfactual branching estimates this credit by re-running the episode after an alternative decisi...","why_it_matters":"Matches feed focus: agentic.","sid":"352167f7ac41065b","published":"2026-10-22T16:51:27+00:00"}]},{"date":"2026-10-26","items":[{"title":"Same Story, Different Lens: A Multi-Agent System for Cross-Outlet News Framing Analysis","url":"http://arxiv.org/abs/2610.35208v1","source":"arxiv_llm_reliability","type":"paper","summary_1line":"News outlets covering the same event differ in what they emphasize and omit. \\textit{Same Story, Different Lens} is an experimental research prototype for comparing these choices. It collects world and politics covera...","why_it_matters":"Matches feed focus: agent, evaluation.","sid":"40a1feed41fe68a1","published":"2026-10-26T10:58:48+00:00"}]},{"date":"2026-11-01","items":[{"title":"Same model, different agent: 17 points apart on 21 MCP servers","url":"https://m3.sineframe.com/blog/same-model-different-agent","source":"hackernews_ai","type":"news","summary_1line":"Same model, different agent: 17 points apart on 21 MCP servers","why_it_matters":"Matches feed focus: agent.","sid":"b78023b26122d472","published":"2026-11-01T14:22:25+00:00"}]}]}