Literature Map
When to use
Reach for this when you need the shape of a field before you have an answer — "who's working on X and how do they group", "what are the main camps on Y", "what's the range of approaches to Z". Output is a clustered map of positions/approaches, each with representative sources and points of disagreement.
Not for: answering a specific question (use rsr-deep-dive); merging sources into one cited answer (use rsr-synthesis); grading one source (use rsr-source-eval). A map orients you; it does not resolve.
Method
- Define the axis. Decide what you're clustering by: methodology, conclusion/position, discipline, or time period. Decision: if the topic is contested, cluster by position; if it's technical, cluster by approach.
- Gather broadly. Pull a wide, diverse set of sources — deliberately seek dissent and outliers, not just the top results, which tend to echo one view.
- Cluster. Group sources along your axis into 3-6 named clusters. Name each by its defining stance or method, not by author.
- Characterize each cluster. One line on what it claims, its strongest evidence, and 1-2 representative sources with dates.
- Map the tensions. Decision: where two clusters directly disagree, note the crux — the specific point they split on — not just "they differ."
- Note the frontier. Flag what's emerging, what's fading, and where the field is silent.
Example
Topic: "approaches to reducing LLM hallucination." Clusters: (1) Retrieval grounding — inject sources at inference (RAG papers, 2023-24); (2) Training-time — RLHF/fine-tuning on factuality (2022-23); (3) Decoding-time — self-consistency, verification passes (2023-25); (4) Abstention — teach refusal under uncertainty. Tension: retrieval camp vs. training camp split on whether the fix belongs at inference or in weights. Frontier: decoding-time verification is rising; pure prompt-tricks are fading.
Pitfalls
- Sampling only the top results, so every cluster echoes the dominant view and dissent vanishes.
- Clustering by author or venue instead of by idea, producing a bibliography not a map.
- Forcing everything into two camps when the field actually has a spectrum.
- Stating clusters "differ" without naming the specific crux they disagree on.
Output format
Topic: <one sentence>
Clustered by: <methodology | position | discipline | period>
Clusters:
1. <name> — <what it claims / does>; evidence: <strongest>; reps: <src, date; src, date>
2. ...
Key tensions:
- <cluster A> vs <cluster B>: crux is <specific point>
Frontier: rising <..> | fading <..> | silent on <..>
1---2name: rsr-literature-map3description: Map the landscape of work and opinions on a topic into labeled clusters with representative sources.4---56# Literature Map78## When to use9Reach for this when you need the shape of a field before you have an answer — "who's working on X and how do they group", "what are the main camps on Y", "what's the range of approaches to Z". Output is a clustered map of positions/approaches, each with representative sources and points of disagreement.1011**Not for:** answering a specific question (use rsr-deep-dive); merging sources into one cited answer (use rsr-synthesis); grading one source (use rsr-source-eval). A map orients you; it does not resolve.1213## Method141. **Define the axis.** Decide what you're clustering by: methodology, conclusion/position, discipline, or time period. *Decision:* if the topic is contested, cluster by position; if it's technical, cluster by approach.152. **Gather broadly.** Pull a wide, diverse set of sources — deliberately seek dissent and outliers, not just the top results, which tend to echo one view.163. **Cluster.** Group sources along your axis into 3-6 named clusters. Name each by its defining stance or method, not by author.174. **Characterize each cluster.** One line on what it claims, its strongest evidence, and 1-2 representative sources with dates.185. **Map the tensions.** *Decision:* where two clusters directly disagree, note the crux — the specific point they split on — not just "they differ."196. **Note the frontier.** Flag what's emerging, what's fading, and where the field is silent.2021## Example22Topic: "approaches to reducing LLM hallucination." Clusters: (1) *Retrieval grounding* — inject sources at inference (RAG papers, 2023-24); (2) *Training-time* — RLHF/fine-tuning on factuality (2022-23); (3) *Decoding-time* — self-consistency, verification passes (2023-25); (4) *Abstention* — teach refusal under uncertainty. Tension: retrieval camp vs. training camp split on whether the fix belongs at inference or in weights. Frontier: decoding-time verification is rising; pure prompt-tricks are fading.2324## Pitfalls25- Sampling only the top results, so every cluster echoes the dominant view and dissent vanishes.26- Clustering by author or venue instead of by idea, producing a bibliography not a map.27- Forcing everything into two camps when the field actually has a spectrum.28- Stating clusters "differ" without naming the specific crux they disagree on.2930## Output format31```32Topic: <one sentence>33Clustered by: <methodology | position | discipline | period>3435Clusters:361. <name> — <what it claims / does>; evidence: <strongest>; reps: <src, date; src, date>372. ...3839Key tensions:40- <cluster A> vs <cluster B>: crux is <specific point>4142Frontier: rising <..> | fading <..> | silent on <..>43```