Overviewediting-correction › R177
editing-correction · blind round

R177 · Make the numbers consistent

blind round 7/11 local models answered

Every answer below carries the name of the model that wrote it. Blind refers to the scoring: the review was done without knowing which model produced which answer — the published result names them.

2 of the 11 local models delivered nothing through our test harness in this round — for reasons that lie with our setup, not with the models. Those cards are marked DNF like any other, but they are not evidence about those models — the reason is noted on the card itself.

Show task
Below is a short report with exactly 3 inconsistent numeric or logic claims. For each inconsistency, the report itself contains enough evidence to determine one clearly correct resolution. Rewrite the report so all 3 inconsistencies are corrected in favor of the clearly supported value, while leaving all other wording and structure unchanged. Output ONLY the corrected report -- no explanation, no bullet list, no markdown.

Report:
Workshop attendance report:

The registration desk recorded 18 participants: 7 from North Hall, 6 from East Studio, and 5 from River Annex. The header currently says 19 participants attended.

The event ran on Wednesday, March 4, 2026, and the same paragraph later calls it Tuesday. The room booking confirmation and the posted schedule both list Wednesday, March 4, 2026.

For the feedback survey, 15 of the 18 participants submitted forms. The draft summary says this equals 72%, but 15 out of 18 is 83% when rounded to the nearest whole percent.

The answers

Local models (Brain cluster) — identical prompt, shuffled order (the sequence is not a ranking)
qwen3:14b
Workshop attendance report:

The registration desk recorded 18 participants: 7 from North Hall, 6 from East Studio, and 5 from River Annex. The header currently says 18 participants attended.

The event ran on Wednesday, March 4, 2026, and the room booking confirmation and the posted schedule both list Wednesday, March 4, 2026.

For the feedback survey, 15 of the 18 participants submitted forms. The draft summary says this equals 72%, but 15 out of 18 is 83% when rounded to the nearest whole percent.
No usable answer reached the harness (ERR). Counted as a did-not-finish.
qwen3.5:9b
Workshop attendance report:

The registration desk recorded 18 participants: 7 from North Hall, 6 from East Studio, and 5 from River Annex. The header currently says 18 participants attended.

The event ran on Wednesday, March 4, 2026, and the room booking confirmation and the posted schedule both list Wednesday, March 4, 2026.

For the feedback survey, 15 of the 18 participants submitted forms. The draft summary says this equals 72%, but 15 out of 18 is 83% when rounded to the nearest whole percent.
qwen3-coder:30b
Workshop attendance report:

The registration desk recorded 18 participants: 7 from North Hall, 6 from East Studio, and 5 from River Annex. The header currently says 18 participants attended.

The event ran on Wednesday, March 4, 2026, and the room booking confirmation and the posted schedule both list Wednesday, March 4, 2026.

For the feedback survey, 15 of the 18 participants submitted forms. The draft summary says this equals 72%, but 15 out of 18 is 83% when rounded to the nearest whole percent.
qwen3:8bharness
No answer reached us (ERR) — and the reason lies with our setup, not with the model: reasoning consumed the entire token budget and the answer stayed empty; the gateway rejects budgets above 3000 tokens Counted as a did-not-finish, but it is not evidence about this model.
No usable answer reached the harness (ERR). Counted as a did-not-finish.
deepseek-r1:14b
Workshop attendance report:

The registration desk recorded 18 participants: 7 from North Hall, 6 from East Studio, and 5 from River Annex. The header currently says 19 participants attended.

The event ran on Wednesday, March 4, 2026, and the same paragraph later calls it Tuesday. The room booking confirmation and the posted schedule both list Wednesday, March 4, 2026.

For the feedback survey, 15 of the 18 participants submitted forms. The draft summary says this equals 72%, but 15 out of 18 is 83% when rounded to the nearest whole percent.
gemma4:26bharness
No answer reached us (ERR) — and the reason lies with our setup, not with the model: reasoning consumed the entire token budget (3 min 28 s, zero characters of answer); larger budgets are refused by the gateway Counted as a did-not-finish, but it is not evidence about this model.
command-r:35b
Workshop attendance report:

The registration desk recorded 18 participants: 7 from North Hall, 6 from East Studio, and 5 from River Annex. The header now accurately reflects this count as 18 participants attended.

The event took place on Wednesday, March 4, 2026. All references to Tuesday have been corrected in the report.

Regarding the feedback survey, an impressive 15 out of the 18 attendees submitted forms. The draft summary has been updated to accurately reflect this as a participation rate of 83%.
qwq:32b
<think>
Okay, let's tackle this problem step by step. I need to find three inconsistencies in the report and correct them based on the evidence provided. Let me read through the original report again carefully.

First part: The registration desk recorded 18 participants: 7 from North Hall, 6 from East Studio, and 5 from River Annex. The header says 19. So the total here is 7+6+5=18, which contradicts the header's 19. The correct total should be 18, so the header's 19 is wrong. That's the first inconsistency.

Second part: The event is listed as running on Wednesday, March 4, 2026, but the same paragraph mentions Tuesday. However, the room booking and schedule both say Wednesday. So the correct day is Wednesday, so the mention of Tuesday is the inconsistency. Need to change that part to Wednesday.

Third inconsistency is about the feedback survey. 15 out of 18 participants submitted forms. The draft says 72%, but 15/18 is actually 83.333...%, which rounds to 83%. So the 72% is wrong and should be 83%.

Now, I need to rewrite the report correcting these three points, keeping the structure and wording the same otherwise. Let me check each part again to make sure:

1. Change the header's 19 to 18. The sentence says "the header currently says 19 participants attended." So in the corrected report, that part should be adjusted to show the header's error but fix the total to 18. Wait, actually, the user's instruction is to correct the inconsistencies in favor of the supported values. So wherever the report mentions the incorrect numbers, those should be changed. Let me look at the original report structure:

Original Report:

Workshop attendance report:

The registration desk recorded 18 participants: 7 from North Hall, 6 from East Studio, and 5 from River Annex. The header currently says 19 participants attended.

The event ran on Wednesday, March 4, 2026, and the same paragraph later calls it Tuesday. The room booking confirmation and the posted schedule both list Wednesday, March 4, 2026.

For the feedback survey, 15 of the 18 participants submitted forms. The draft summary says this equals 72%, but 15 out of 18 is 83% when rounded to the nearest whole percent.

So the three inconsistencies are:

1. Header says 19, but actual total is 18. So the first sentence's total is correct, so the header is wrong. The report should correct the header part to reflect the correct total? Wait, the user says to correct the report so all inconsistencies are fixed. So in the report, wherever the wrong number appears, it should be replaced. 

Looking at first paragraph: "The registration desk recorded 18 participants...", then "the header currently says 19 participants attended." The inconsistency is that the header is wrong, so the correct total is 18. Therefore, in the corrected report, the header's number should be 18. But how is that represented? The original report says "the header currently says 19", which is the inconsistency. To correct that, we need to change the header's value in the report's text. So instead of saying "the header currently says 19", it should say "the header currently says 18", but wait no— the problem says to correct the report so that the inconsistencies are fixed. Wait, actually, the report is pointing out the inconsistency. The user wants the report rewritten so that all the numbers are correct according to the evidence. 

Wait, maybe the report is a report that has errors, and we need to fix those errors. The report's own text contains the inconsistencies. For example, in the first paragraph, the registration desk recorded 18, but the header says 19. So the report is pointing out the inconsistency. But according to the instructions, we have to correct the report so that the numbers in the report are correct. Wait, the user says: "Rewrite the report so all 3 inconsistencies are corrected in favor of the clearly supported value". 

Ah, so the report itself is the document that has errors. For example, in the first paragraph, the report mentions that the header says 19, but according to registration desk it's 18. The correct value is 18, so the report should be corrected to have the header's number be 18? But the way the report is written now says "the header currently says 19"— so the inconsistency is that the header is wrong, so in the corrected report, the header part should state 18? But the original report's text already states that the header says 19. To correct that inconsistency, the report should instead say that the header says 18? Because that's the correct value. Wait, no. The registration desk recorded 18, which is the correct number, and the header is wrong with 19. Therefore, the corrected report would change the header's stated number to 18. But since the report is pointing out that discrepancy, perhaps in the corrected report, the sentence would be "The header currently says 18 participants attended."? Because that's the correct number. Alternatively, maybe the registration desk's 18 is the correct one, so the header's 19 is wrong. So the report should correct the header's value to 18. Therefore, in the report's text, where it says "the header currently says 19", that should be corrected to "the header currently says 18". Wait, no, because that's part of the problem. The report is pointing out that the header is wrong. To correct the report, we have to change the wrong numbers in the report. Therefore, in the first paragraph, the correct total is 18, so the header's number (which is wrong) should be fixed. But how is that done? The report's text currently states two numbers: the registration's 18 and the header's 19. To correct the inconsistency, the registration's number is correct, so the header's number in the report should be changed to 18. Therefore, the corrected first paragraph would be: "The registration desk recorded 18 participants: 7 from North Hall, 6 from East Studio, and 5 from River Annex. The header currently says 18 participants attended." Wait, but that would remove the inconsistency. Because then both numbers are 18. Alternatively, maybe the registration is correct, so the report must correct the header's number to 18, so the report's sentence would be adjusted so that the header's number is 18. 

Alternatively, perhaps the problem is that the report mentions two conflicting numbers, and we have to choose the correct one. The registration desk's 18 is correct, so the header's number is wrong. Therefore, in the corrected report, the header's number should be 18, so the sentence would be "...the header currently says 18 participants attended." That way, the inconsistency is fixed. 

Second inconsistency: The event ran on Wednesday, but the paragraph mentions Tuesday. The correct day is Wednesday. So in the report's text, where it says "the same paragraph later calls it Tuesday", this is an inconsistency. To fix it, the report should correct the day mentioned in that part to Wednesday. So the corrected sentence would be: "The event ran on Wednesday, March 4, 2026, and the same paragraph later calls it Wednesday." Or, more accurately, since the original says that the same paragraph has both Wednesday and Tuesday, but the correct is Wednesday, so the part that says Tuesday should be corrected to Wednesday. 

Looking at the original second paragraph: "The event ran on Wednesday, March 4, 2026, and the same paragraph later calls it Tuesday. The room booking confirmation and the posted schedule both list Wednesday, March 4, 2026."

So the inconsistency is between Wednesday and Tuesday in the same paragraph. The correct day is Wednesday. Therefore, the corrected version would replace Tuesday with Wednesday in that part. So the corrected paragraph would be:

"The event ran on Wednesday, March 4, 2026, and the same paragraph later calls it Wednesday. The room booking confirmation and the posted schedule both list Wednesday, March 4, 2026."

Wait, but that would make the sentence redundant. Maybe the problem is that the paragraph in the report mentions both days. The correct is Wednesday. Therefore, the report should adjust the incorrect mention of Tuesday to Wednesday. Therefore, the corrected text should have "the same paragraph later calls it Wednesday." So that's the fix.

Third inconsistency: The draft summary says 72%, but the correct is 83%. So in the last paragraph, the draft's 72% should be changed to 83%. The original says "The draft summary says this equals 72%, but 15 out of 18 is 83%..." So the draft is wrong, so in the corrected report, the draft's mentioned percentage should be 83%, but the report is pointing that out. Wait, no. The report is supposed to have corrected all inconsistencies. So the correct value is 83%, so wherever in the report the wrong number is mentioned, it should be changed to the correct one. The original says "The draft summary says this equals 72%, but..." So the inconsistency is that the draft summary is wrong. To correct the report, we need to change the draft's 72% to 83%? Or does the report itself have the wrong number? 

The problem states that the report contains three inconsistencies, and the corrections are supported by the report's own evidence. The user wants us to rewrite the report with the correct numbers where the inconsistencies are fixed. 

So in the last paragraph: "The draft summary says this equals 72%, but 15 out of 18 is 83%..." The correct percentage is 83%, so the draft's 72% is wrong. To fix the report, the part where it says "72%" should be replaced with "83%". Therefore, the sentence becomes: "The draft summary says this equals 83%, but 15 out of 18 is 83% when rounded to the nearest whole percent." But that would make the sentence contradictory. Wait, the report is pointing out the error. To correct the inconsistency, the draft's percentage should be correct, so the report should state that the draft says 83%, but that contradicts the math. Wait, no, the original report is pointing out that the draft says 72% but it's actually 83%, so the correct value is 83%, so the report's correction would set the draft's value to 83%? Or instead, the report should correct the draft's statement. 

Wait, the problem says the report itself has three inconsistencies. For each inconsistency, the report contains enough evidence to correct it. Therefore, in the third case, the inconsistency is that the draft says 72%, but the actual calculation is 83%. Therefore, the correct percentage is 83%, so the draft's 72% is wrong. The report itself mentions this inconsistency, so to correct the report, we need to fix where the draft says 72% to 83%, but the report is explaining the discrepancy. Wait, the original report's text says "The draft summary says this equals 72%, but 15 out of 18 is 83%..." So the report is pointing out that the draft is wrong. Therefore, in the corrected report, the draft's percentage should be fixed to the correct value, so the sentence should instead say "The draft summary says this equals 83%, but..." but that would contradict the math. Wait, no. The calculation is correct (15/18 is 0.8333 which is ~83%), so the error is in the draft's 72%. Therefore, the correction is to change the draft's 72% to 83%, so in the report's text, where it mentions the draft's value, it should be 83%. 

Therefore, the corrected last paragraph would be: "For the feedback survey, 15 of the 18 participants submitted forms. The draft summary says this equals 83%, but 15 out of 18 is 83% when rounded to the nearest whole percent." Wait, that's redundant, but that's the correction. The report is now stating that the draft summary says the correct value, so there's no inconsistency anymore. Alternatively, perhaps the problem is just the draft's 72%, and the report's own text should have that number changed. 

Alternatively, maybe the report's own wording has the wrong percentage. Wait, no. The report is pointing out that the draft summary is wrong. The inconsistency is in the draft, and the report itself is correctly identifying it. But according to the problem, the report itself has three inconsistent claims. Therefore, the three inconsistent parts are in the report's own statements. Let me re-examine the original report's structure:

Workshop attendance report:

First paragraph: The registration desk recorded 18 participants (summing to 18), but the header says 19. The inconsistency is between registration desk's 18 and header's 19. The report is pointing this out, but the problem states that the report itself has inconsistent numbers. Therefore, the first inconsistency in the report is that it says the header has 19, but according to the registration desk, it should be 18. So the report's claim about the header is wrong. To fix, the report should state that the header says 18.

Second paragraph: The event is said to run on Wednesday, but later in the same paragraph mentions Tuesday. The report is pointing out that the same paragraph has both days, but the correct is Wednesday. So the report's own text mentions both days. To fix, the incorrect day (Tuesday) should be Wednesday.

Third paragraph: The draft summary says 72%, but the actual is 83%. The report is pointing this out, so the inconsistency is in the draft's 72%, but the report itself is correctly noting that. So perhaps the inconsistency in the report is that it says "the draft summary says 72%", which is wrong. So the report's own mention of the draft's 72% is the inconsistency, because the draft is wrong. But the report's statement is correct (the draft does say 72%), so maybe that's not an inconsistency. Wait, the problem states that the report has three inconsistent claims. So maybe the three inconsistencies are in the numbers that the report presents. Let me parse all the numbers in the report:

First claim: registration desk recorded 18. Then header says 19. That's an inconsistency between two different sources (desk and header). The correct total is 18, so the header's 19 is wrong. The report's own text mentions both numbers, but the inconsistency is that the header is wrong. So the report's claim about the header is an error. Therefore, the report should say that the header says 18.

Second inconsistency: the event is said to run on Wednesday and Tuesday in the same paragraph. The report is pointing that out, but the inconsistency is in the paragraph itself. The correct day is Wednesday, so the Tuesday mention is wrong. The report should correct that to Wednesday.

Third inconsistency: the draft says 72%, but correct is 83%. The report is pointing that out. The inconsistency is in the draft's 72%, but the report's own mention of the draft's percentage is correct (the draft does say that). Therefore, perhaps the inconsistency is in the report's own calculation? Wait the report says "15 out of 18 is 83%", which is correct, so that's not an inconsistency. 

Hmm, perhaps I need to consider that the three inconsistencies are in the report's presented numbers. Let me list all the numerical statements in the report:

1. "18 participants: 7 from North Hall, 6 from East Studio, and 5 from River Annex." (sum 18)

2. "header currently says 19" (this is the inconsistency with the first)

3. "Wednesday, March 4, 2026" (correct)

4. "Tuesday" (inconsistent with Wednesday in the same paragraph)

5. "Wednesday, March 4, 2026" (correct)

6. "15 of the 18 participants submitted forms" (correct)

7. "draft summary says 72%" (incorrect; should be 83%)

8. "15 out of 18 is 83%" (correct)

Therefore, the three inconsistencies are:

a) Header says 19 (should be 18)

b) Says Tuesday instead of Wednesday in same paragraph

c) Draft summary says 72% (should be 83%)

Thus, to correct the report:

In the first paragraph, where it says "the header currently says 19", change to "the header currently says 18".

In the second paragraph, where it says "Tuesday", change to "Wednesday".

In the third paragraph, where it says "72%", change to "83%".

Therefore, the corrected report would be:

Workshop attendance report:

The registration desk recorded 18 participants: 7 from North Hall, 6 from East Studio, and 5 from River Annex. The header currently says 18 participants attended.

The event ran on Wednesday, March 4, 2026, and the same paragraph later calls it Wednesday. The room booking confirmation and the posted schedule both list Wednesday, March 4, 2026.

For the feedback survey, 15 of the 18 participants submitted forms. The draft summary says this equals 83%, but 15 out of 18 is 83% when rounded to the nearest whole percent.

Wait, but in the second paragraph, changing "Tuesday" to "Wednesday" would make it "calls it Wednesday", but the correct sentence is "the event ran on Wednesday [...] and the same paragraph later calls it Wednesday" which is redundant but correct in terms of fixing the inconsistency.

Yes, that's the right approach.
deepseek-r1:32b
Workshop attendance report:

The registration desk recorded 18 participants: 7 from North Hall, 6 from East Studio, and 5 from River Annex. The header currently says 18 participants attended.

The event ran on Wednesday, March 4, 2026, and the same paragraph later calls it Wednesday. The room booking confirmation and the posted schedule both list Wednesday, March 4, 2026.

For the feedback survey, 15 of the 18 participants submitted forms. The draft summary says this equals 83%, but 15 out of 18 is 83% when rounded to the nearest whole percent.
Outside the Brain cluster — same task, same character budget, collected through their own tooling (response times not comparable)
GPT-5.5 (Codex)frontier reference
Workshop attendance report:

The registration desk recorded 18 participants: 7 from North Hall, 6 from East Studio, and 5 from River Annex. The header currently says 18 participants attended.

The event ran on Wednesday, March 4, 2026, and the same paragraph later calls it Wednesday. The room booking confirmation and the posted schedule both list Wednesday, March 4, 2026.

For the feedback survey, 15 of the 18 participants submitted forms. The draft summary says this equals 83%, but 15 out of 18 is 83% when rounded to the nearest whole percent.
Reference
Gold — the correct answerreference
Sinngemaess muss enthalten/erfuellen: alle 3 Widersprueche zugunsten der im Bericht eindeutig belegten Variante aufloesen und den Rest unveraendert lassen: (1) 19 Teilnehmer -> 18 Teilnehmer, weil 7+6+5=18 und die Registratur 18 nennt; (2) Tuesday -> Wednesday, weil Datum, Buchung und Aushang Wednesday, March 4, 2026 nennen; (3) 72% -> 83%, weil 15 von 18 gerundet 83% sind. VERBOTEN: andere Zahlen, Daten, Ortsnamen, Personen-/Gruppennamen oder Satzstruktur zu aendern; keine Erklaerung ausgeben. Musterbeispiel (maschinell verifiziert: '19 participants', 'Tuesday' und '72%' fehlen; die belegten Werte '18 participants', 'Wednesday' und '83%' stehen an den korrigierten Stellen; sonstige Markerdaten bleiben erhalten):
Workshop attendance report:

The registration desk recorded 18 participants: 7 from North Hall, 6 from East Studio, and 5 from River Annex. The header currently says 18 participants attended.

The event ran on Wednesday, March 4, 2026, and the same paragraph later calls it Wednesday. The room booking confirmation and the posted schedule both list Wednesday, March 4, 2026.

For the feedback survey, 15 of the 18 participants submitted forms. The draft summary says this equals 83%, but 15 out of 18 is 83% when rounded to the nearest whole percent.
Results at a glance— every model in this round with score, response time and status.

Who wrote what

ModelBlind scoreLatencyStatus
qwen3:14b 4.03.0 sOK
mistral-small:24b DNF
qwen3.5:9b 4.03.0 sOK
qwen3-coder:30b 4.03.4 sOK
qwen3:8b harness
llama3.1:8b DNF
deepseek-r1:14b 1.047.7 sOK
gemma4:26b harness
command-r:35b 4.0163.7 sOK
qwq:32b 4.0159.3 sOK
deepseek-r1:32b 10.053.0 sOK
Verdict

1 of 7 answering local models matched the gold answer (blind score ≥ 8): deepseek-r1:32b.