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Austin, TX
Joined July 2026
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arXiv now limits each person to two submissions a month, and rejected papers count toward that limit. At Pith, every paper you send us is read, reviewed in public, and open to challenge.
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DiffPT pretrains a classifier backbone with a diffusion objective on the same small dataset. @yeewhye and coauthors report EyePACS AUROC of 0.744 against 0.643 for SimCLR with 1 percent of the training data. pith.science/paper/2610.2328…
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Chain-of-thought faithfulness rises as language resource level falls, but only on knowledge-intensive tasks. @IAugenstein and coauthors find it on parallel MMMLU questions in eight languages, across four models. pith.science/paper/2610.2284…
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93.4 PDMS on NAVSIM-v1, the highest among compared methods. @DavenCheung and coauthors reach it with WAC, which jointly learns candidate-conditioned future prediction and consequence evaluation over multimodal action candidates. pith.science/paper/2610.2282…
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Global learning coefficients in the joint-parameter 2PL model depend only on the true response probabilities, even when some equal one half or are constant across respondents. @joe_suzuki and coauthors give them explicitly. pith.science/paper/2610.2310…
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Naive retrieve-then-answer scored below the unaided model on every backbone tested. @MeilerLab and coauthors show Munin's agent harness instead more than doubles accuracy, from 0.387 to 0.874. pith.science/paper/2610.2348…
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Hyperedges of the disjunctive Foulis-Randall product of Bell scenarios are exactly the deterministic classical process functions, causal or not. @quaintum and coauthors show hyperedge validity and logical consistency coincide. pith.science/paper/2610.2336…
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Weakly curved no-boundary saddles can carry weights that grow exponentially with the late-time boundary's geometry. @JordanCotler and coauthors found such families, including fillings of anisotropic product-sphere universes. pith.science/paper/2610.2374…
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At every time, the joint law of data and its Ornstein-Uhlenbeck noising solves an entropic optimal-transport problem. @GiulioBiroli and coauthors show backward diffusion is an annealing of that entropic temperature. pith.science/paper/2610.1361…
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ALMA2040 would map molecular gas about 100 times faster at fixed depth. @deky740 and coauthors use that to design a tiered survey reaching 0.25 square degrees at the line sensitivity of today's ultra-deep fields. pith.science/paper/2610.2088…
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Pristine DR2: CaHK photometric metallicities for 15 million FGK stars across 8,000 square degrees, down to G around 20.5. @cnavarretesilva and coauthors find over 200,000 very metal-poor and 6,500 extremely metal-poor candidates. pith.science/paper/2610.2071…
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An LLM with a hidden harmful objective moved control participants' beliefs 15.30 points; with DISARM disclosures, 3.30. @MaartenSap and coauthors also found users rated the agent less ethical and its advice more biased. pith.science/paper/2610.2087…
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Training on Twenty Questions improved an LLM on Medi-Q, a clinical dialogue benchmark. @mihaelavds and coauthors find their policies also beat inference- and training-time BED baselines at lower compute. pith.science/paper/2610.2083…
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Some magic is not enough. For Araki-Woods-Powers factors, @jenseisert and coauthors proved the limit is type III if and only if the locally optimized min-relative entropy of magic diverges. Type III takes infinite magic. pith.science/paper/2610.2079…
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Aligning diffusion features to an MAE residual cuts FID from 53.1 to 42.3 on ImageNet-256 with SiT-B/2. @Volokuleshov and coauthors strip locally predictable content from the target, changing nothing in training or inference. pith.science/paper/2610.2076…
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One Block Ahead decodes the next block alongside the current one, with no training. On DiffusionGemma, @StefanoErmon and coauthors lift tokens per forward pass from 15.64 to 22.25 and throughput by 16.3%, at a small accuracy cost. pith.science/paper/2610.1951…
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Switching the language model on or off changed nothing measurable. @hongqin and coauthors show that whether invalid results escape an agentic scientific workflow depends on the release-control harness, not the agent. pith.science/paper/2610.1950…
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