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Maison Francis Kurkdjian Translates Desert Sand Dunes Into “OUD velvet mood” Extrait de parfum
SummaryMaison Francis Kurkdjian debuts OUD velvet mood Extrait de parfum, inspired by desert dunes and velvet’s tactile softness.…
- The scent pairs raw oud wood with textured peach, osmanthus and a supp…
- Available starting today in 35ml and 70ml sizes.
- Drawing inspiration from a night spent among the shifting, sun-warmed …
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Solar & Storage Are Saving Schools Millions. See How These 6 Are Using the Extra Budget Space.
The first days of the 2026-2027 school year are upon us.…
- Students of all ages are getting ready for another year of learning, a…
- Today, over 7 million K-12 students (~1 in 7) attend a solar-powered s…
- [continued] The post Solar & Storage Are Saving Schools Millions.
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REPORT: U.S. Adds 20 GWh of Energy Storage Capacity in Q2, Largest Quarter on Record
U.S.…
- battery energy storage capacity nearly doubles in the first 18 months …
- energy storage industry installed a record 20.
- 2 gigawatt-hours (GWh) of new capacity in Q2, bringing total installat…
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From Silos to Systems, from Data to Insight: Unlocking Organizational Knowledge and Winning in the AI Era with Keysight SOS Enterprise
The white paper introduces Keysight SOS Enterprise as an AI-ready engineering data and IP management platform designed to help semiconductor and electronics companies centrally manage, govern, and secure
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Long-Horizon State Tracking in LLMs: Executing MD5 through a Deep Sequence of Dependent Tool Calls
arXiv:2609.…
- 00012v1 Announce Type: new Abstract: Long-horizon tasks remain uncommo…
- Existing agentic benchmarks report end-to-end success but confound thi…
- Whether an LLM can carry exact intermediate state across many tool cal…
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Incremental Risk Assessment of Progressive Elder Financial Scams via Instruction-Tuned Small Language Models
arXiv:2609.…
- 00005v1 Announce Type: new Abstract: Financial scams targeting older a…
- Because risk signals emerge incrementally across turns, effective dete…
- We propose a cumulative turn-based risk assessment framework that incr…
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Discrete-Time MDP Modeling for Multi-Item Capacitated Lot Sizing with Stochastic Demand Timing
arXiv:2609.…
- 00004v1 Announce Type: new Abstract: This paper studies a finite-horiz…
- Each demand occurs once within a known time window and must be satisfi…
- The proposed model makes production and allocation decisions at the de…
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I-CARE: Analysis of interference-related phenomena in a controllable, diverse and representative unlearning setting for text-to-image models
arXiv:2609.00003v1 Announce Type: new Abstract: Machine unlearning studies the removal of knowledge from an AI model, making the system forget a concept it previously learned.…
- Despite rapid progress in generative machine unlearning, the unintende…
- This paper introduces I-CARE, a methodology that formalizes interferen…
- Rather than proposing a new benchmark or unlearning algorithm, I-CARE …
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HyperWorld: Hypergraph-Structured State Serialization Improves Learned Textual World Models
arXiv:2609.00002v1 Announce Type: new Abstract: World models enable language-model agents to predict environment dynamics and plan before acting.…
- In text environments, the model must learn symbolic action effects fro…
- We present HyperWorld, a controlled study of state serialization for l…
- We compare raw observations with three symbolic serializations of the …
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