Academic literature scanning agent (Bitik)
A documented Python/LangChain workflow uses a researcher topic to retrieve papers/datasets, suggest literature gaps and save a structured Markdown report.
L2Research workflow (workflow level, not a quality rating) Source: Repository-documented Outcome: Not empirically evaluated here
Research applicability
Explicit academic literature-scanning and research-gap reporting use; citation counts and model suggestions require source/expert checking.
Getting started
Untested editorial guidance: read the pinned primary documentation, choose one public/synthetic research question and inspect original source records/limitations before any separate tool trial. Keep final scholarly interpretation with the researcher. No trial was executed here.
Maintenance
Current source commit/metadata saved2026-10-19; long-term support or availability not established.
License
Not independently audited; repository availability does not establish rights to every embedded archival item or provider data.
Workflow & human oversight
Scoped documented L2: topic/model selection connects literature and dataset retrieval, gap suggestions and a Markdown report. Autonomous branding and tool references do not establish adaptive planning or L4. Human source/output validation is not documented.
Workflow level is not an evidence score; higher is not better evidence.
Approach
README documents SemanticScholar retrieval, recentliterature/citation sorting, publicdataset discovery, gap suggestions and report sections. This supports a fixed connected process; adaptive planning/autonomous experiments are not established.
Limitations
Documentation only; no repository code, model calls, installation, data processing or experiment executed. Primary API/raw source retrieval does not validate implementation, security, performance or scientific outcomes. Turkish README reviewed; no code/linkedAPI/model run. Lastfiveyears and citation sorting are documented intended scope, not exhaustive/current literature coverage or study-quality ranking. Dataset/gap/novelty suggestions and Markdown reports are not verified evidence. API availability/pricing, language generality, citation accuracy and human validation remain untested.
Reproducibility
Commit-pinned primary documentation saved; no tool execution, result reproduction or safety/effectiveness verification.
Adoption requirements
README specifiesPython3.10+,LangChain,OpenAI-compatible model configuration andSemanticScholarAPI. Credentials/model terms and provider availability must be checked independently; no setup performed.
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