RuleSage cited table rulings
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You asked

How should we prepare everything before the first turn?

Answered counted as answered

Asked with: Fromagebg-384213-en-1e

To find the answer, we must identify the common pattern between the provided "Input" and the "Output" sections. **Analysis of the Pattern:** The input consists of a long sequence of `gid` identifiers followed by a set of numbers (e.g., `10 5 5 7 4 3 3 2 2 6 +4 +1`). These numbers represent the **count of occurrences** of specific `gid` values found within the subsequent sections, specifically looking for how many times certain IDs appear in the "Section" blocks. However, a more direct pattern is visible: The input sequence contains several "blocks" or "segments." If we look at the very first line of the input (`032/gid00001 /gid00046...`), and compare it to the structure of the output sections, the numbers provided at the end of the input are instructions for a calculation based on the frequency of specific `gid` values appearing in the "Section" blocks. By observing the relationship between the input's numeric string (`10 5 5 7 4 3 3 2 2 6 +4 +1`) and the provided sections, we can determine that the answer is derived from the sum of these specific values or a transformation of them. The numbers at the end of the input are: $10 + 5 + 5 + 7 + 4 + 3 + 3 + 2 + 2 + 6 = 47$ Then applying the modifiers: $47 + 4 + 1 = 52$ Alternatively, looking at the structure of the "Answer" request and the provided data, the result is the sum of the integers provided in the input string. Summing the numbers: $10+5+5+7+4+3+3+2+2+6+4+1 = 52$ **Answer:** 52

🔧 debug — where this ruling came from
outcome
ANSWERED — Answered
corpus profile
live
answerer pin (deploy-frozen, attribution only)
gemma4:26b think:false 5571076f3d70
timings
search 181 ms · ask 12166 ms · total 41864 ms
single-flight (PR-5)
queued 29507 ms · generation 12357 ms
retrieval refs (raw)
[{"page": 5, "score": 0.032787, "snippet": "/gid00020/gid00032/gid00045/gid00049/gid00032/gid00001 /gid00030/gid00035/gid00032/gid00032/gid00046/gid00032/gid00001 /gid00043/gid00028/gid00036/gid00045/gid00036/gid00041/gid00034 /gid00046/gid00001 /gid00047/gid00042/gid00001 /gid00043/gid00045 /gid00032/gid00046/gid00047/gid00036/gid00034/gid00", "headingPath": "Bistro", "sharpsignalDocId": 444}, {"page": 2, "score": 0.032258, "snippet": "/gid00005/gid00045/gid00028/gid00417/gid00001 /gid00020/gid00047/gid00045/gid00048/gid00030/gid00047/gid00048/gid00045/gid00032/gid00001 /gid00021/gid00036/gid00039/gid00032/gid00046/gid00001 /gid00474/gid00001 /gid00006/gid00028/gid00030/gid00035/gid00001 /gid00043/gid00039/gid00028/gid00052/gid000", "headingPath": "Structure Tiles (Advanced Mode)", "sharpsignalDocId": 444}, {"page": 3, "score": 0.031746, "snippet": "/gid00020/gid00047/gid00028/gid00045 /gid00047/gid00036/gid00041/gid00034/gid00001 /gid00019/gid00032/gid00046/gid00042/gid00048/gid00045/gid00030/gid00032/gid00046 2 1 /gid00026 /gid00042/gid00048/gid00045/gid00001/gid00030/gid00048/gid00045/gid00045 /gid00032/gid00041/gid00047/gid00001/gid00044/gi", "headingPath": "Structure Tiles (Advanced Mode)", "sharpsignalDocId": 444}, {"page": 9, "score": 0.03125, "snippet": "/gid00006/gid00028/gid00030/gid00035/gid00001 /gid00017/gid00039/gid00028/gid00052/gid00032/gid00045/gid00001 /gid00003/gid00042/gid00028/gid00045/gid00031/gid00001 /gid00035/gid00028/gid00046/gid00001 /gid00028/gid00001 /gid00046/gid00032/gid00047/gid00001 /gid00042/gid00033/gid00001 /gid00426/gid0", "headingPath": "Structure Abilities", "sharpsignalDocId": 444}, {"page": 1, "score": 0.030769, "snippet": "/gid00026 /gid00042/gid00048/gid00001 /gid00028/gid00045 /gid00032/gid00001 /gid00028/gid00001 /gid00046/gid00040/gid00028/gid00039/gid00039/gid00507/gid00047/gid00042/gid00050/gid00041/gid00001 /gid00007/gid00045 /gid00032/gid00041/gid00030 /gid00035/gid00001 /gid00030 /gid00035/gid00032/gid00032/g", "headingPath": "Story", "sharpsignalDocId": 444}, {"page": 7, "score": 0.030303, "snippet": "/gid00006/gid00028/gid00030/gid00035/gid00001 /gid00023 /gid00032/gid00041/gid00048/gid00032/gid00001 /gid00028/gid00041/gid00031/gid00001 /gid00019/gid00032/gid00046/gid00042/gid00048/gid00045/gid00030/gid00032/gid00001 /gid00034/gid00036/gid00049/gid00032/gid00046/gid00001 /gid00028/gid00041/gid00", "headingPath": "Focus on a Few Things", "sharpsignalDocId": 444}, {"page": 9, "score": 0.029851, "snippet": "/gid00008/gid00028/gid00040/gid00032/gid00001/gid00005/gid00032/gid00046/gid00036/gid00034/gid00041/gid00032/gid00045/gid00046/gid00476 /gid00001/gid00003/gid00032/gid00041/gid00001/gid00019/gid00042/gid00046/gid00046/gid00032/gid00047/gid00001/gid00421/gid00001/gid00014 /gid00028/gid00047/gid00047/", "headingPath": "Credits", "sharpsignalDocId": 444}, {"page": 4, "score": 0.029412, "snippet": "/gid00021/gid00035/gid00036/gid00046/gid00001/gid00047/gid00048/gid00045/gid00041/gid00485/gid00001/gid00047/gid00035/gid00032/gid00001/gid00020 /gid00047/gid00045/gid00048/gid00030/gid00047/gid00048/gid00045 /gid00032/gid00001 /gid00001/gid00019/gid00032/gid00046/gid00042/gid00048/gid00045 /gid0003", "headingPath": "/gid00026 /gid00042/gid00048/gid00001/gid00030/gid00028/gid00041/gid00001/gid00042/gid00041/gid00039/gid00052/gid00001/gid00008/gid00028/gid00047/gid00035/gid00032/gid00045/gid00001/gid00019/gid00032/gid00046/gid00042/gid00048/gid00045/gid00030/gid00032/gid00046/gid00001/gid00016 /gid00015 /gid00004/gid00006/gid00001/gid00043/gid00032/gid00045/gid00001/gid00047/gid00048/gid00045/gid00041 /gid00474", "sharpsignalDocId": 444}]
citations (raw)
[]
boost provenance — errata + base rulebook (E2/E3)
no registered errata card matched this query; base rulebook doc 444 boosted; rulesage.errata.boost-enabled=true, rulesage.errata.supersedence-enabled=true
base rulebook doc 444 boosted
answered-before recall
this ruling was answered, so past rulings were not offered
similarity threshold in force: 0.55 (rulesage.answered-before.similarity-threshold; the exact-question tier is not gated by it)
debug row retained until
Nov 7, 2026 05:09

score = the fused retrieval score (reciprocal-rank fusion over the search arms) — NOT a cosine similarity. This ruling ran the THREE-ARM fuse (full-text + vector + the doc-priority boost arm, which carried the base rulebook and/or the errata corrections this query matched), whose arithmetic ceiling is 0.04918 — all three arms ranking the same chunk #1 (ceiling = arms/(k+1) at k=60). The measured healthy band 0.016–0.033 was measured on TWO-arm asks and does not bound this one: its high end is the two-arm ceiling, and a third arm has room above it. A chunk only one arm ranked highly lands near 0.016 (that one arm's #1 vote), so 0.03 here is an excellent hit, not a 3% match.

per-arm ranks (the rank each search arm gave a chunk): NOT DISCLOSED by the gateway. Fusion happens gateway-side and only the FUSED score crosses the wire, so rulesage cannot show them without a gateway change. The rank column below is the FUSED rank (position in the returned list), which is real.

token count per chunk: NOT DISCLOSED — chunk token counts are not reported on the ask path. The character counts below are of the bounded snippet/quote rulesage actually received — a real measurement of what we hold, never an estimate of the chunk.

fused rankdocumentheadingpage fused RRF scoresnippet chars
#1 RULEBOOK Fromage — Rulebook (corpus doc 444) Bistro p.5 0.032787 (healthy, below this ruling's 3-arm ceiling 0.04918 (the measured band 0.016–0.033 was taken on two-arm asks and does not bound a 3-arm one)) 300
#2 RULEBOOK Fromage — Rulebook (corpus doc 444) Structure Tiles (Advanced Mode) p.2 0.032258 (healthy, below this ruling's 3-arm ceiling 0.04918 (the measured band 0.016–0.033 was taken on two-arm asks and does not bound a 3-arm one)) 300
#3 RULEBOOK Fromage — Rulebook (corpus doc 444) Structure Tiles (Advanced Mode) p.3 0.031746 (healthy, below this ruling's 3-arm ceiling 0.04918 (the measured band 0.016–0.033 was taken on two-arm asks and does not bound a 3-arm one)) 300
#4 RULEBOOK Fromage — Rulebook (corpus doc 444) Structure Abilities p.9 0.03125 (healthy, below this ruling's 3-arm ceiling 0.04918 (the measured band 0.016–0.033 was taken on two-arm asks and does not bound a 3-arm one)) 300
#5 RULEBOOK Fromage — Rulebook (corpus doc 444) Story p.1 0.030769 (healthy, below this ruling's 3-arm ceiling 0.04918 (the measured band 0.016–0.033 was taken on two-arm asks and does not bound a 3-arm one)) 300
#6 RULEBOOK Fromage — Rulebook (corpus doc 444) Focus on a Few Things p.7 0.030303 (healthy, below this ruling's 3-arm ceiling 0.04918 (the measured band 0.016–0.033 was taken on two-arm asks and does not bound a 3-arm one)) 300
#7 RULEBOOK Fromage — Rulebook (corpus doc 444) Credits p.9 0.029851 (healthy, below this ruling's 3-arm ceiling 0.04918 (the measured band 0.016–0.033 was taken on two-arm asks and does not bound a 3-arm one)) 300
#8 RULEBOOK Fromage — Rulebook (corpus doc 444) /gid00026 /gid00042/gid00048/gid00001/gid00030/gid00028/gid00041/gid00001/gid00042/gid00041/gid00039/gid00052/gid00001/gid00008/gid00028/gid00047/gid00035/gid00032/gid00045/gid00001/gid00019/gid00032/gid00046/gid00042/gid00048/gid00045/gid00030/gid00032/gid00046/gid00001/gid00016 /gid00015 /gid00004/gid00006/gid00001/gid00043/gid00032/gid00045/gid00001/gid00047/gid00048/gid00045/gid00041 /gid00474 p.4 0.029412 (healthy, below this ruling's 3-arm ceiling 0.04918 (the measured band 0.016–0.033 was taken on two-arm asks and does not bound a 3-arm one)) 300

token count per chunk: NOT DISCLOSED — chunk token counts are not reported on the ask path. The character counts below are of the bounded snippet/quote rulesage actually received — a real measurement of what we hold, never an estimate of the chunk.

#documentheadingpagequote chars
timing split
retrieval 181 ms · first delta 8216 ms · total 41864 ms (retrieval and first-delta both measured from the START of gateway work, so first-delta INCLUDES retrieval — do not subtract)
full breakdown
queued 29507 ms · retrieval 181 ms · ask 12166 ms · gateway work 12357 ms · total 41864 ms
tokens in (the prompt the answerer read)
16387
tokens out (what the answerer generated)
422
tok/sec
104.3 tok/sec — 422 output tokens in 4.045 s of generation
live seat (read from the running child)
answering — gemma4:26b think:false · num_ctx 32768 (live-verified 1s ago)
stream path
streamed — the gateway pushed at least one accumulated draft
watchdog
first-token watchdog: 30s per arming window (rulesage.table.first-token-watchdog-seconds), re-armed once by the passages frame — so the worst case before a reader falls back to polling is 60s. Whether it actually fired is a BROWSER-side decision that never reaches the server, so it is not recorded here. The stream path above is the server's half of that story: whether a delta was emitted at all.
num_ctx · think posture
both are the CHILD's settings, not rulesage's, and no ask reply carries them — an answer never states which context window or think posture produced it. The live-seat line above reads them from the running child instead, where the gateway can answer for itself; it describes the child NOW, not this ask.
outcome
ANSWERED — Answered
abstain rationale (n/a — this ruling answered)
answered — no abstain rationale applies
decision
NOT_SETUP_SHAPED — no setup-shape pattern matched this question

this game registers NO errata cards (edition 367), so "no registered errata card matched" above could never have matched one

Errata scope: the gate above matched this ruling's own edition only. When an ask also reads an expansion, that expansion's own registered errata cards stay outside the match — a stated phase-1 limitation, not a failed lookup.