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Search the graph, then open only what you want to check.

Results start closed. Every row expands to the evidence behind it — the edges that were written, where each one came from, the paper's own sentence, and the review record as reviewers left it. Nothing here is a derived summary you cannot check. This is a fixed six-paper slice showing the shape of the output — a static walkthrough of the UI, not a live query. The graph itself is real and live now (see the live counts to the right); query it directly for a live answer via the API or MCP — see /developers.

25,045
papers parsed into the schema
99.47%
structural success, verified end to end
134
failures out of 25,179, individually diagnosed
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Venue
Trace readiness
Evidence present
{{ p.num }} {{ p.title }} {{ p.venue }} {{ p.year }} {{ p.readiness }} {{ p.tipText }} {{ p.caret }}
Edges written · each one sourced
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Implementation
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Captured from the paper's own text at ingestion, before popularity signals accumulated. Maturity: {{ p.codeAge }}.
Citation context — the paper's own sentence

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Review record — never averaged
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conf {{ r.confidence }}
Kept as a distribution. Averaging across reviewer confidence is a known, biased statistic.

Indexing covers NeurIPS, ICML, ICLR, CVPR, ICCV, ECCV, ACL, EMNLP, NAACL and arXiv. The slice shown here is drawn from the general-ML core, which is the part measured end to end. Coverage is broad but not comprehensive, and is not presented as such.

Self-supervised visual representation · 7 nodes hover a node to isolate its edges dashed = model-derived edge, confidence recorded
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{{ l.text }}
Days from publication to the graph, not months.
Read the methodology
Identity isn't tied to activityQueries counted in aggregate, then discardedRanking and labeling methods disclosedmedia@syntology.aisyntology.ai