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Suppose a room is occupied, so a booking request fails. The room later becomes free. Should an identical retry now succeed? Under the declared contract of a synthetic reservation benchmark described by yongchan kwon in 2026, the answer is no. The author puts it directly: “Under this benchmark’s declared contract, no.” An identical retry, meaning the same request ID with the same payload, replays the original rejection, including the conflict. A genuinely new attempt requires a new request ID.
That rule belongs to this benchmark’s contract. It is not a description of how every reservation system, booking API or calendar service behaves, and this article does not claim it is.
What the rule means in practice
A retry under this contract asks for the outcome of the same logical operation. It does not quietly turn an old rejection into a fresh evaluation against current room state. The request ID is what identifies the operation, so the benchmark treats a changed ID as a new operation and the same ID plus identical payload as the same operation again.
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| Submission | Request ID | Payload | Result under the benchmark contract |
|---|---|---|---|
| Identical retry after the room is freed | Same as the original (r2) | Identical | Replays the cached conflict; no new booking is made |
| New attempt after the room is freed | New (r4) | Identical | Evaluated as a new operation; can succeed |
| Reused ID with a different payload | Same as the original (r2) | Changed | Rejected because the ID is bound to its original payload |
A worked example
The benchmark uses two fictional rooms and integer, half-open time intervals, meaning a booking from 0 to 10 covers the times up to but not including 10. Adjacent bookings can therefore touch at an endpoint without conflicting. The example runs as follows:
- Create the first booking. Booking x occupies room A from 0 to 10. Creates start at revision 1.
- Submit a conflicting request. Booking y for [5,8) overlaps x. Request r2 is rejected.
- Free the room. Booking x is cancelled at revision 1, so room A no longer blocks the interval.
- Retry the identical request. Resubmitting r2 with the same ID and payload replays the cached conflict. The room is free, but the rejection stands.
- Make a new attempt. Submitting y again under a new request ID, r4, succeeds.
The example separates two questions that are easy to blur together: whether the room is available now, and whether a particular request is allowed to change its outcome. Under this contract, only the second depends on the request ID.
The contract rules the example depends on
The walkthrough only makes sense alongside the other rules the benchmark specifies:
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- Creates start at revision 1.
- Replacements and cancellations must name the current revision.
- A rejected replacement leaves the original booking unchanged.
- Proposals neither mutate state nor consume request IDs, so a proposal can be checked without using up the ID for a later real request.
- Confirmed outcomes, including failures, are cached under their request ID.
- Reusing a request ID with a different payload is rejected.
How the benchmark was built
The author reports eight base traces and four dependent metamorphic variants, for 12 test cases in total. The variants rename booking IDs, swap room labels, or shift times. Because each variant is derived from a base trace, the 12 cases are not 12 independent observations, and the effective sample is smaller than the count suggests. Expected answers were enumerated by hand and checked against a Python reference interpreter.
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The figures below are the author’s, from 2026. Each row counts exact trace success under the scoring described in the next section.
| Model run | Base traces | Dependent variants | Overall | Output-contract failures | Structured mismatches |
|---|---|---|---|---|---|
| Gemini 2.5 Flash (published rerun) | 2/8 | 2/4 | 4/12 | 8 | 0 |
| Gemini 3.7 Flash (published rerun) | 8/8 | 4/4 | 12/12 | 0 | 0 |
| Gemini 2.5 Flash (earlier development evaluation) | not stated | not stated | 6/12 | 6 | 0 |
The earlier development evaluation is a separate observation and is not pooled with the published rerun. The author attributes the gap between the two published runs to delivering the requested answer format rather than to reasoning on the traces: every answer that reached the structured scorer passed, while the 2.5 Flash published run produced eight output-contract failures. These are small results from one author’s benchmark, so they should not be read as evidence that one model is generally more capable, or as a prediction for other traces or protocols.
How answers were scored, and what the score does not prove
Scoring was SDK-parsed exact-trace success, with no LLM judge deciding correctness. The author notes that this does not certify raw JSON strictness, because the SDK can normalize output before the scorer sees it. A response that is slightly malformed at the byte level may therefore still be scored on its parsed content.
Scoring versions and the stopped run
The report names Kaggle Benchmarks SDK 0.6.1 and scoring policy v2. It also describes an earlier v1 run that stopped when a model returned a Python response where JSON was expected, leaving 11 of the 12 cases unattempted. Under v2, that specific parsing error is recorded as an output-contract failure and the run continues. API errors, quota errors and unexpected errors still abort the run.
What this benchmark does and does not establish
- It establishes how a declared request-identity contract should treat a retry, and which outcomes the cache must replay.
- It does not establish how any production reservation system handles retries, idempotency keys or conflicts.
- It does not provide industry statistics on reservation replay, idempotency or booking failure rates.
- The model results are the author’s, from a small set of traces and a stated protocol. No independent replication is reported.
If you are designing a real booking API, the useful takeaway is the design choice the benchmark makes explicit: decide whether a retry names an operation or a fresh attempt, then specify what gets cached, what a changed payload means, and whether a proposal consumes an identifier.
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