Spaces:
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Polish README: drop placeholder copy, add YAML cross-links to related artifacts
Browse files
README.md
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- semantic-scholar
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- openalex
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- scholarly
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---
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# Research Papers Federated Search
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<!-- USER_VOICE_INTRO_PARAGRAPH
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Write 3-5 sentences in your own voice. Suggested angles (pick one):
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- Origin story: what specifically frustrated you that drove building this
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- Opinion: what existing tools get wrong about federated search
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- Use case: what concrete research workflow this unblocked for you
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Do NOT let Claude write this. Authentic voice is the whole point.
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## What this does
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Federated search across four academic sources in a single call:
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Results are deduplicated by DOI when available, then by `(source, source_id)` so the same arXiv preprint surfaced through multiple sources collapses to one row.
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## Known limitations
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<!-- USER_VOICE_LIMITATIONS_BULLETS
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Write 2-4 honest bullets about what doesn't yet work or has rough edges.
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Examples of the right texture (do NOT copy these verbatim, write your own):
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- Topic detection is keyword-based here; embeddings backend isn't wired into the Space
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- Citation graph and BibTeX export are in the full MCP server but not in this demo
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- S2 throttles aggressively without an API key; expect partial results for high-traffic queries
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## Cold start
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This Space sleeps when idle. First query after a quiet period takes 30-60 seconds for the container to wake up. Subsequent queries are fast.
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- semantic-scholar
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- openalex
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- scholarly
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datasets:
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- barissozudogru/openalex-concepts
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- barissozudogru/federated-search-traces
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---
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# Research Papers Federated Search
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## What this does
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Federated search across four academic sources in a single call:
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Results are deduplicated by DOI when available, then by `(source, source_id)` so the same arXiv preprint surfaced through multiple sources collapses to one row.
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## Cold start
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This Space sleeps when idle. First query after a quiet period takes 30-60 seconds for the container to wake up. Subsequent queries are fast.
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