OpenAI · Anthropic · Google DeepMind
Model launches, pricing, capabilities, safety reports and official lifecycle changes.
Vendor claims stay labelled until independently reproduced.
PaperTrace uses communities such as LINUX DO to discover what practitioners care about, then walks back to primary evidence before publishing a claim.
Model launches, pricing, capabilities, safety reports and official lifecycle changes.
Vendor claims stay labelled until independently reproduced.
Official Codex release notes and versioned change records, cross-checked against community links.
A community thread is verified only when it directly links to OpenAI or the openai/codex repository.
Conference dates, submission deadlines, registration and venue changes.
Aggregators can discover an event, but cannot verify its date.
Fast preprint discovery across six tracked domain feeds.
Submission is not peer review; impact needs downstream evidence.
Paper discovery plus a separately displayed platform-upvote signal.
Upvotes measure one community's attention, not scientific quality.
Fresh model-card and checkpoint signals from selected vendor and open-model organizations.
A registry upload is not a formal launch, benchmark result or safety review; verify the model card and vendor announcement.
Works, authors, institutions, topics and citation-graph enrichment.
Metadata coverage and entity matching must be spot-checked.
Life-science literature, full text, grants, data links and biomedical entities.
Clinical decisions still require primary studies and expert review.
Earliest biology and health preprint signals.
medRxiv findings are preliminary and must not drive medical advice.
Early chemistry and materials manuscripts.
Preprints remain unreviewed; safety-critical claims need stronger evidence.
Physics literature, citations, people, experiments and astronomy coverage.
Field-specific relevance does not transfer automatically across domains.
Economics working papers and early social-science research.
Working-paper status and later revisions must stay visible.
Chinese developer pain points, hands-on tool reports, launch discovery and early adoption signals.
Discovery only until linked to primary evidence. Respect the community's AI-content policy; PaperTrace never auto-posts.
Runnable artifacts, releases, issues, maintenance activity and timestamped attention signals.
Stars are attention, not reproducibility or scientific validation.
Fast developer discussion around new infrastructure, models and open-source releases.
Audience and ranking bias are strong; use only as a buzz signal.
Researcher announcements, thread velocity and links to newly released artifacts.
No private/session scraping; a captured public URL and timestamp are mandatory.
Chinese event reports, tool adoption, lab-life and early community questions.
Never convert anecdotal popularity into an impact score without primary evidence.
Public metadata from LINUX DO and Hacker News. These are discovery signals only; open the thread and follow its links before trusting a claim.