Aryan Pardeshi
Aryan Pardeshi's work was selected for the XERJ Corpus Hub, the open reference memory AI coding agents search before they write code. When an agent meets the same problem, it gets this implementation back as a worked example, with the author and the repository attached.
Totals across every corpus @Aryan-Pardeshi appears in; a commit selected for two corpora counts once. Files and lines count the selected commits; each corpus indexes the whole repository at its pinned commit.
What an agent can do with the DeepResearch_AI corpus
Aryan-Pardeshi/DeepResearch_AI: Open-source research assistant and MCP audit toolkit for systematic reviews: cited research reports, PRISMA tracking, evidence and claim…
- Look up how DeepResearch_AI implements academic-research, ai-agents, docker, with answers cited to file and line.
- Reuse a worked example: the commit “stop labelling resolved claims "verified"” (9 files · Python).
- Answer from DeepResearch_AI's real Python source instead of memory (AI, prompts and agents).
- Where does DeepResearch_AI handle “stop labelling resolved claims "verified"”?
- How does DeepResearch_AI implement academic-research?
- What does tests do in DeepResearch_AI?
Search the GitHub repository Aryan-Pardeshi/DeepResearch_AI with XERJ (https://hub.xerj.org/corpus/aryan-pardeshi--citeproof-ai-mcp). Run these in a shell, in order, and check each result before the next: 1. xerj --help (success: it prints usage). If xerj is missing: curl -fsSL https://xerj.org/get | sh 2. git clone https://github.com/Aryan-Pardeshi/DeepResearch_AI DeepResearch_AI && git -C DeepResearch_AI checkout 74d345b216971e6ea0419e6a0f37c54cc5fad9e2 3. Start a local node and leave it running: xerj --insecure --data-dir ./xerj-data 4. xerj autoindex ./DeepResearch_AI --url http://127.0.0.1:9200 --prefix deepresearch-ai --progress plain 5. xerj autoindex map --url http://127.0.0.1:9200 Then answer my question from the indexed files and cite the ax_path of every hit. Query syntax: https://xerj.org/llms.txt Licence: MIT. Keep the copyright notice and credit the authors.
corpus aryan-pardeshi--citeproof-ai-mcp · AI, prompts and agents
Related corpora: anything-llm, graphrag, huynguyengl99/agent-graph-engineering, kushalBanda/AI-Engineer
AI search and retrieval with XERJ · Case study: reference coding for agents
Selected work
Aryan-Pardeshi/DeepResearch_AI
The corpus is the whole repository at the pinned commit, not only the files of the selected commit.
Not installable yet: this corpus is not in the hub registry until its licence review passes, so xerj corpus add and xerj ask cannot fetch it. It becomes installable when this card says live in the hub.
Sign in with GitHub or Hugging Face to see more: every selected commit in full (commit date, every folder, licence review state, pin) and the pack builds of each corpus.
[](https://hub.xerj.org/contributors/Aryan-Pardeshi)
Included with the author's permission (email, 2026-10-20), under each repository's own licence, with attribution. Want it removed? Reply to the email or open an issue on xerj-org/xerj.