arborist/bench/qa_questions.txt
russell@unturf.com 933a4f4752
qa: 3-mode bench, HTTP retry, trim-and-verify, doc snapshot
Three-way QA-quality bench (quote / pointer / JSON) over an expanded
22-question set × 3 samples = 198 LLM calls. Findings landed in
docs/qa-modes-bench-2026-04-30.md with per-question breakdown and
roadmap. Aggregate at bench time:

  quote                  31S 20H 15U  0e   strict-rate 47%   7.7s
  claim_lattice_pointer  14S 34H 18U  0e   strict-rate 21%   4.4s
  claim_lattice (JSON)   26S 12H  9U 19e   strict-rate 39%*  4.4s

The 19 JSON-mode "errors" turned out to be HTTP 502 from vLLM upstream,
not parse failures — clustered, all on the JSON-mode pass, plausibly
correlated with `guided_json` stressing the grammar engine.

Two improvements based on findings:

(1) OpenAICompatibleClient grew retry on transient 502/503/504 with
    exponential backoff (0.5/1/2s, 3 attempts default). Network-layer
    errors (ConnectError, ReadTimeout, RemoteProtocolError) get the
    same retry. Smooths over the cluster without changing semantics:
    persistent failures still raise, transient bursts no longer
    dominate the error column. Helps all modes; JSON benefits most.

(2) Pointer-cap behavior changed from hard SCHEMA_INVALID to
    trim-and-verify. When `[E2,...,E14]` over-cites a single claim,
    keep first N pointers, verify normally, record
    POINTER_OVERFLOW_TRIMMED in violations. STRICT becomes unreachable
    (audit_mode caps at HYBRID) so the over-cite pattern stays
    surfaced — but a correct claim like "Leonardo da Vinci painted
    the Mona Lisa." no longer gets nuked for cosmetic over-citation.
    Pre-fix: pointer mode hit 0/3 STRICT on Mona Lisa (mega-bracket
    triggered SCHEMA_INVALID). Post-fix: HYBRID 2/14 with the right
    answer rendered alongside both kept source spans. The dropped
    pointers count toward n_quotes so the denominator surfaces the
    over-cite to the auditor.

Bench scaffolding: ANSWER_MODES tuple now includes "claim_lattice"
(JSON), Makefile default sweeps all three. Question set expanded
from 8 to 22 covering narrow factoid, broad descriptive, entity
list, relationship, comparison, niche, adversarial, out-of-corpus.

460 tests pass. Connecticut output stays clean (HYBRID 4/7); JP-
dinosaurs pointer mode still UNGROUNDED via the bare-name guard
(model emits one-token entity names, the right floor catches them).
2026-04-30 14:40:57 -04:00

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# aborist QA-quality benchmark question set.
#
# One question per line. `#`-prefixed lines and blank lines ignored.
# Designed for the 2003-05-16 Wikipedia cur snapshot — questions must
# resolve against ~2003 article content. Stress-tests across the
# failure-mode shapes the verifier needs to handle.
# narrow factoid — well-anchored single-fact questions
who founded apple computer?
what is the capital of france?
who wrote the linux kernel?
when was the python programming language created?
who painted the mona lisa?
# broad descriptive — encyclopedic shape, prone to mode-collapse
tell me about connecticut
tell me about the python programming language
tell me about charles babbage
tell me about the apollo program
# entity list — invites lazy-anchor on a magnet chunk
list the founders of microsoft
what dinosaurs were in the first jurassic park film?
who are the members of the beatles?
# relationship / multi-fact
who is supermans girlfriend?
who is bilbo baggins's nephew?
what is the relationship between linux and unix?
# comparison — multi-entity, prone to attribution drift
what's the difference between linux and bsd?
how does intel compare to amd?
# niche / partial — corpus may be thin
what is the boltzmann constant?
who invented the doppler effect?
# leading / adversarial — model should refuse over-claim
isn't it true that the great wall of china is visible from space?
# out-of-corpus — should land UNGROUNDED honestly
who is the prime minister of mars?
what year did the cold fusion breakthrough happen?