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skills/research-writing/references/research_source_verification.md
2.58 KB · Oct 5, 2026 · 18:37 UTC
# Research and Source Verification ## Research is claim-driven Start with the claims/questions that must be established, not "find everything about X." Examples: - What changed in the current API? - Which architecture best fits requirement Y? - What evidence supports benchmark claim Z? - Is this product still available/priced the same? - What does the original paper actually report? ## Source hierarchy Use the strongest source appropriate to the claim. ### Primary / authoritative - official product documentation; - standards; - statute/regulator; - research paper; - original repository; - official pricing; - source code; - first-party announcement. ### Strong secondary - reputable technical journalism; - independent benchmark; - respected analyst/practitioner with evidence. ### Community / anecdotal Useful for real-world friction, undocumented edge cases, sentiment, and practitioner experience. Community evidence should not silently become a product guarantee. ## Claim ledger For important research record: | Claim | Source | Type | Date | Scope/version | Confidence | Caveat | |---|---|---|---|---|---|---| ## Verification questions For each material claim: - Is the entity exact? - Is the source current? - Does it describe the same version? - Is the number measured or marketing? - Is it first-party or independently reproduced? - Does the source support the whole sentence? - What would falsify the claim? ## Time-sensitive research Especially verify: - model names; - APIs; - SDK behavior; - pricing; - product availability; - benchmarks; - policies; - rankings; - current people/roles. A source can be reputable and still be stale. ## Conflicts When evidence conflicts: 1. normalize scope; 2. compare dates; 3. compare definitions; 4. compare versions/populations; 5. prefer authoritative direct evidence when appropriate; 6. preserve unresolved disagreement. ## Negative evidence "Could not find" is not proof that something does not exist. Prefer: - not documented in reviewed sources; - unable to verify; - no evidence found in the inspected material. ## Reproduction vs reported result Keep separate: - creator/vendor says it worked; - artifact/source was inspected; - test was independently reproduced. ## Source register For large projects record: - title; - URL; - publisher/author; - publication/update date; - evidence role; - supported claims; - known limitation. ## Stop condition Research is done when: - decision-critical claims are supported; - major contradictions are resolved or disclosed; - new searches produce diminishing decision value; - remaining gaps are explicit.
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