Get Field Orientation
get_field_orientationRead-only
Retrieves foundational papers for a research topic, ranked by citation count and semantic similarity, to bootstrap a literature survey.
Instructions
Returns CANDIDATE FOUNDATIONAL PAPERS for a research topic — cheap retrieval only, no synthesis. Ranks papers by a blend of citation count (0.6 weight, captures importance) and semantic similarity to your topic (0.4 weight). Use this to bootstrap a literature survey or get a fast sense of the landscape. For a synthesized orientation report (key concepts, open problems, reading order), use the /field-guide skill which calls this tool internally. Does not require a Pro API key — no LLM calls are made.
Input Schema
TableJSON Schema
| Name | Required | Description | Default |
|---|---|---|---|
| topic | Yes | Research area to orient on. Be specific for better results. Examples: 'diffusion models for protein structure prediction', 'efficient attention mechanisms for long-context LLMs', 'graph neural networks for molecular property prediction'. | |
| limit | No | Number of candidate papers to return (5–30, default 15). |
Output Schema
TableJSON Schema
| Name | Required | Description | Default |
|---|---|---|---|
| papers | No | Matched / returned papers. | |
| total | No | Total results available for the query. | |
| page | No | ||
| limit | No | ||
| mode | No | Search mode actually applied. | |
| direction | No | Citation direction (get_citations: citing | cited_by). | |
| topic | No | ||
| note | No | ||
| not_found | No | Requested IDs that had no match. | |
| next_cursor | No | Keyset cursor for the next page, or null when exhausted. | |
| hits | No | New watch matches (check_watches). | |
| results | No |