CNL-FN-2026-048 Field Notes

Semantic Scholar API Integration for the Macroscope Collaboratory

Published: April 10, 2026 Version: 2 This version: April 11, 2026

Abstract

An API key for the Semantic Scholar Academic Graph was obtained on April 11, 2026, providing authenticated access to Allen AI’s corpus of approximately 200 million scholarly papers. This field note documents the API’s capabilities and sketches the integration path into the Macroscope Collaboratory (CNL-TN-2026-047 v0.3) as a `literature_search` worker. The integration addresses a gap identified during STR-001 first-light testing: the Collaboratory’s Priors step (Step 3 in the ten-step form model) currently has no systematic mechanism for surveying the peer-reviewed literature relevant to an investigation. Semantic Scholar’s keyword search, citation graph traversal, paper recommendations, and AI-generated TLDR summaries provide exactly this capability, complementing the `web_search` worker’s coverage of grey literature, agency reports, and news sources.

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Access

AI Collaboration Disclosure

Claude (Anthropic ) — Analysis

This field note was developed collaboratively with Claude (Anthropic, claude-opus-4-6). The author takes full responsibility for the content and conclusions.

Human review: full

Version History

Version Date Notes Link
v2 April 11, 2026 Latest
v1 April 10, 2026 Initial publication View

Cite This Document

(2026). "Semantic Scholar API Integration for the Macroscope Collaboratory." Canemah Nature Laboratory Field Notes CNL-FN-2026-048. https://canemah.org/archive/CNL-FN-2026-048

BibTeX

@techreport{cnl2026semantic, author = {}, title = {Semantic Scholar API Integration for the Macroscope Collaboratory}, institution = {Canemah Nature Laboratory}, year = {2026}, number = {CNL-FN-2026-048}, month = {april}, url = {https://canemah.org/archive/document.php?id=CNL-FN-2026-048}, abstract = {An API key for the Semantic Scholar Academic Graph was obtained on April 11, 2026, providing authenticated access to Allen AI’s corpus of approximately 200 million scholarly papers. This field note documents the API’s capabilities and sketches the integration path into the Macroscope Collaboratory (CNL-TN-2026-047 v0.3) as a `literature\_search` worker. The integration addresses a gap identified during STR-001 first-light testing: the Collaboratory’s Priors step (Step 3 in the ten-step form model) currently has no systematic mechanism for surveying the peer-reviewed literature relevant to an investigation. Semantic Scholar’s keyword search, citation graph traversal, paper recommendations, and AI-generated TLDR summaries provide exactly this capability, complementing the `web\_search` worker’s coverage of grey literature, agency reports, and news sources.} }

Permanent URL: https://canemah.org/archive/document.php?id=CNL-FN-2026-048