multimodal technique

Daily cross-source mention tracking for multimodal: how many AI news articles, Hacker News stories, research papers and GitHub trending repos mention it. Deterministic whole-word counts of real stored items, updated daily.

12 mentions, last 7 days 32 mentions, all stored days tracked since 2026-06-19
Daily total mentions · 2026-06-19 to 2026-07-10
0232026-06-19: 1 mention2026-06-20: 1 mention2026-06-21: 1 mention2026-06-22: 2 mentions2026-06-23: 1 mention2026-06-24: 3 mentions2026-06-25: 1 mention2026-06-29: 2 mentions2026-06-30: 2 mentions2026-07-01: 2 mentions2026-07-02: 3 mentions2026-07-03: 1 mention2026-07-04: 1 mention2026-07-05: 1 mention2026-07-06: 2 mentions2026-07-07: 3 mentions2026-07-08: 3 mentions2026-07-09: 1 mention2026-07-10: 1 mention06-1907-0107-10
Per-source breakdown
SourceLast 7 daysAll stored days
News articles 0 0
Hacker News stories 0 1
Research papers 11 30
GitHub trending repos 1 1
Receipts · current items mentioning multimodal
paper Attending to Multimodal Generation One Token at a Time 2026-07-09 · external ↗ repo diegosouzapw/OmniRoute 2026-07-10 · trending today paper Vision as Unified Multimodal Generation 2026-07-08 · external ↗ paper Bridging Interleaved Multi-Modal Reasoning as a Unified Decision Process 2026-07-08 · external ↗ paper AI Wizards at EXIST 2026: Hierarchical Soft-Label Learning for Multimodal Sexism Identification in Memes 2026-07-07 · external ↗ paper MultAttnAttrib: Training-Free Multimodal Attribution in Long Document Question Answering 2026-07-07 · external ↗ paper Breaking Failure Cascades: Step-Aware Reinforcement Learning for Medical Multimodal Reasoning 2026-07-06 · external ↗
How this is counted

Each item counts once per day if its title (plus summary or description where available) contains multimodal or one of its tracked aliases, matched case-insensitively on whole words. Heat on the Hype Meter board is scored as: raw = total mentions across sources in trailing 7 days; breadth = number of distinct sources with >=1 mention in those 7 days (1-4); heat = percentile rank of (raw * breadth) among all terms with raw>0, scaled 0-100, rounded. News and repo counts start the day tracking began; Hacker News and paper counts are backfilled from stored daily snapshots. No language model touches these numbers.

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