Qwen2.5-32B

Evidence in the last complete seven days

Source mentions

2

Previous seven days 0

Distinct sources

1

Previous 0

Comparable growth

Not comparable

Ranking appearances

1

Collection observations and undated records are separate from dated publication counts. Observed in 7d：1 · Undated records：0

Daily history · up to 90 days

Bars show dated source mentions. The latest UTC day may be incomplete. Zero mentions and missing collection coverage are different conditions.

Source evidence

Sources in the evidence shown：HF Daily Papers 2

1. HF Daily Papers · Published Nov 10, 2026

   Sable: A Small-Field Sumcheck Argument for Bit-Exact Inference of Large Language Models

   We present Sable, an argument system and single-GPU prover for the statement that a committed, integer-quantized transformer produced a given token sequence from a given prompt, bit for bit. Sable fixes an integer function F_O with no floating-point step, in which every rounding, normalization, softmax and sampling decision is determined by its inputs, and p

2. HF Daily Papers · Published Nov 6, 2026

   All Quiet on the Neural Front: Language Models Do Not Report Injected Pain States

   Can a language model report the pain state it represents? Work identified a linear pain direction whose amplification leads fine-tuned models to choose destructive actions. We tested whether three open-weight models from two families, including two Qwen models with the original adapters, could report this state. Using Open-Weight Masked Introspection (OWMI),

Review priority 43 / 100

This score orders research candidates. It is not search volume, a forecast or verified commercial demand.

• Evidence

  12.7 / 30

  Distinct dated articles or first observations; repeat crawling adds nothing.

• Publisher diversity

  8 / 25

  Conservative owner grouping; syndicated copies count once.

• Comparable change

  0 / 20

  Comparable complete weeks only; no percentage from a zero baseline.

• Recent evidence

  14.9 / 15

  Latest publication or first observation, not repeated fetch time.

• Name specificity

  7.2 / 10

  Explicit entities and technical concepts outrank ambiguous acronyms.

Limitations and interpretation

• First observation is a collection milestone, not proof that a word or product is new to the world.
• Counts describe monitored public sources, not the whole web or search demand.
• First observed here is not the invention date of a name or idea.
• Candidates come from public titles, summaries and entity URLs, not verified full-text analysis.
• Owner grouping is conservative; undisclosed syndication may remain.
• Repeat ranking appearances are observations, not new articles or independent endorsements.
• Sources behind this term changed or lack a comparable baseline.
• Recent evidence includes collection over three days after publication.
• The previous week is too small for a reliable percentage change.
• Current evidence comes from one publisher or owner.