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Paper Citation Record · LEDGER

ACES: Who Tests the Tests? Leave-One-Out AUC Consistency for Code Generation

As of 8 August 2026, this Paper Citation Record lists 22 of 22 outbound references and 0 inbound Pith citation observations for arXiv:2604.03922.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2604.03922 v2

Coverage vector

measured 22 of 22 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-14T19:54:08.600196Z

measured 22 of 22 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

22 of 22 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved21
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 5ccbcc63-fc20-47a4-a144-4845bf20a1f0 · outbound

This paper cites Evaluating Large Language Models Trained on Code.

ACES: Who Tests the Tests? Leave-One-Out AUC Consistency for Code Generation Evaluating Large Language Models Trained on Code

Reference 1

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source=pdf_text observed=2026-07-14T19:54:08.600196Z digest=sha256:2e03fd1df2ffa26a21961d3a464776695cb59ce1aa051c761f9f569506fa4a29

Observation af18d80c-a96e-49a2-8b39-2db879824143 · outbound

This paper cites DeepSeek-Coder: When the Large Language Model Meets Programming -- The Rise of Code Intelligence.

ACES: Who Tests the Tests? Leave-One-Out AUC Consistency for Code Generation DeepSeek-Coder: When the Large Language Model Meets Programming -- The Rise of Code Intelligence

Reference 2

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source=pdf_text observed=2026-07-14T19:54:08.600196Z digest=sha256:1718e004a699bd8f25a46b384e720e98b4e407b4388ae07e2a56c859d3699072

Observation 9b67500c-1941-4499-9f6e-e181e8525835 · outbound

This paper cites Large Language Monkeys: Scaling Inference Compute with Repeated Sampling.

ACES: Who Tests the Tests? Leave-One-Out AUC Consistency for Code Generation Large Language Monkeys: Scaling Inference Compute with Repeated Sampling

Reference 3

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source=pdf_text observed=2026-07-14T19:54:08.600196Z digest=sha256:3c5c4834dcb42f2acf44d687ee9f06892730de275e9470f1fe99b3721512105a

Observation f18b6b2d-1096-4701-89f5-fddbb4379aa4 · outbound

This paper cites an unresolved cited work.

ACES: Who Tests the Tests? Leave-One-Out AUC Consistency for Code Generation Unresolved cited work

Reference 4

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source=pdf_text observed=2026-07-14T19:54:08.600196Z digest=sha256:24b2db309f858d1390349b3a8f65d4a65780f9dc5e5b9bfdf93ac4af115adbc8

Observation d4dfc75f-3674-4e4f-97d1-157fd84648a9 · outbound

This paper cites an unresolved cited work.

ACES: Who Tests the Tests? Leave-One-Out AUC Consistency for Code Generation Unresolved cited work

Reference 5

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source=pdf_text observed=2026-07-14T19:54:08.600196Z digest=sha256:c2b345b1d1500dbc529a8ae34d60c32852b524e0535c1d4c70b0c9653d9157a1

Observation a5f174c3-cf4f-41dc-837e-842d525f398f · outbound

This paper cites Program Synthesis with Large Language Models.

ACES: Who Tests the Tests? Leave-One-Out AUC Consistency for Code Generation Program Synthesis with Large Language Models

Reference 6

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T19:54:08.600196Z digest=sha256:e2a4ea7b056f4dc289481c31565cbe6abcd23419c1be9c7371d200f12f90832b

Observation 131fc642-8a86-4e61-be5c-8f23f9cd2b4d · outbound

This paper cites GPT-4 Technical Report.

ACES: Who Tests the Tests? Leave-One-Out AUC Consistency for Code Generation GPT-4 Technical Report

Reference 7

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T19:54:08.600196Z digest=sha256:1bc971a4febe094e5abf4ff07361a1e759ae65be4018c09597b5a4b102fffe70

Observation 56d0ef67-af6d-45bd-b001-d1caa998851a · outbound

This paper cites Code Llama: Open Foundation Models for Code.

ACES: Who Tests the Tests? Leave-One-Out AUC Consistency for Code Generation Code Llama: Open Foundation Models for Code

Reference 8

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source=pdf_text observed=2026-07-14T19:54:08.600196Z digest=sha256:404ba6590356c90494726ebe9e24fbe92b10b493cfd87413fd3c8d21c54bebe3

Observation 211c770c-d1c8-48c1-8e39-a503354527b6 · outbound

This paper cites StarCoder 2 and The Stack v2: The Next Generation.

ACES: Who Tests the Tests? Leave-One-Out AUC Consistency for Code Generation StarCoder 2 and The Stack v2: The Next Generation

Reference 9

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source=pdf_text observed=2026-07-14T19:54:08.600196Z digest=sha256:b31fd282b19bcb7ca73a2060d982ef92d0e2917b65a851d1a86e4d0e501b0a89

Observation 901497dc-8554-4741-a659-d5c242093761 · outbound

This paper cites Qwen2.5-Coder Technical Report.

ACES: Who Tests the Tests? Leave-One-Out AUC Consistency for Code Generation Qwen2.5-Coder Technical Report

Reference 10

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source=pdf_text observed=2026-07-14T19:54:08.600196Z digest=sha256:ca5a28931fe1ba859860e23fb302dc52b3aba9a20716285ad4ebf0465c7adf9c

Observation 6c9c9d34-478b-4258-bc47-1969b596ba22 · outbound

This paper cites Sampling-based approximations to minimum Bayes risk decoding for neural machine translation.

ACES: Who Tests the Tests? Leave-One-Out AUC Consistency for Code Generation Sampling-based approximations to minimum Bayes risk decoding for neural machine translation

Reference 11

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source=pdf_text observed=2026-07-14T19:54:08.600196Z digest=sha256:976431e574c8ea47d5ff427d3697f274280f29e3834946946638137c87ae181c

Observation 7abc866b-1047-4832-8a6e-0428af205661 · outbound

This paper cites ALGO: Synthesizing algorithmic programs with generated oracle verifiers.

ACES: Who Tests the Tests? Leave-One-Out AUC Consistency for Code Generation ALGO: Synthesizing algorithmic programs with generated oracle verifiers

Reference 12

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source=pdf_text observed=2026-07-14T19:54:08.600196Z digest=sha256:b6e89f988d8c154c6fc2d0535bb120419a8ccd836c8899074cc871c8f5f80bd4

Observation dc0e439a-d2d8-4e2f-9234-e633ec6b69e3 · outbound

This paper cites Consistency meets verification: Enhancing test generation quality in large language models without ground-truth solutions.Arxiv Preprint Arxiv:2602.10522,.

ACES: Who Tests the Tests? Leave-One-Out AUC Consistency for Code Generation Consistency meets verification: Enhancing test generation quality in large language models without ground-truth solutions.Arxiv Preprint Arxiv:2602.10522,

Reference 13

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source=pdf_text observed=2026-07-14T19:54:08.600196Z digest=sha256:60d486742f3149030972e84495f758306689f737967f813ddb82c6d53363f026

Observation cae1fb30-1f0d-401f-93fc-39df798c1181 · outbound

This paper cites DOCE: Finding the Sweet Spot for Execution-Based Code Generation.

ACES: Who Tests the Tests? Leave-One-Out AUC Consistency for Code Generation DOCE: Finding the Sweet Spot for Execution-Based Code Generation

Reference 14

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source=pdf_text observed=2026-07-14T19:54:08.600196Z digest=sha256:20a3c0de4d4a11f65d3a6420dc983ce2e2dd9f5471cd4d513f4866d27229db19

Observation 6753e716-1c19-4582-8b37-a1480cfdc85b · outbound

This paper cites Noise tolerance of learning to rank under class-conditional label noise.

ACES: Who Tests the Tests? Leave-One-Out AUC Consistency for Code Generation Noise tolerance of learning to rank under class-conditional label noise

Reference 15

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source=pdf_text observed=2026-07-14T19:54:08.600196Z digest=sha256:f01dc28111751d1c6bd37ca93ec4ce2bfd0b72bfcfc00a0f2ad239c104798753

Observation b340f575-376c-445c-aa55-66cc645d5afe · outbound

This paper cites Training Verifiers to Solve Math Word Problems.

ACES: Who Tests the Tests? Leave-One-Out AUC Consistency for Code Generation Training Verifiers to Solve Math Word Problems

Reference 16

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source=pdf_text observed=2026-07-14T19:54:08.600196Z digest=sha256:446dba493d4876842a2c3f2e4fa4b59d60ccec84d5487fa67a4ce06fcb7758a0

Observation 7d1c0462-b7d0-4a3f-9062-d1db139bbf3d · outbound

This paper cites LeetCodeDataset: A Temporal Dataset for Robust Evaluation and Efficient Training of Code LLMs.

ACES: Who Tests the Tests? Leave-One-Out AUC Consistency for Code Generation LeetCodeDataset: A Temporal Dataset for Robust Evaluation and Efficient Training of Code LLMs

Reference 17

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T19:54:08.600196Z digest=sha256:9f7e25ce0e5dcb319a52217a0876fbb17b376ec4eabcd71f58d8efc6ae4ae7ec

Observation 36b95787-e9f9-49c6-9213-8fa8cc1121c8 · outbound

This paper cites It follows that the true AUC A(w) is the same for every pair (c+ ∈C +, c − ∈C −) and that two codes from the same class have identically distributed scores.

ACES: Who Tests the Tests? Leave-One-Out AUC Consistency for Code Generation It follows that the true AUC A(w) is the same for every pair (c+ ∈C +, c − ∈C −) and that two codes from the same class have identically distributed scores

Reference 18

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source=pdf_text observed=2026-07-14T19:54:08.600196Z digest=sha256:2294ead9b026ba413040988bcc94c5760f08fd905f59b803f72767e86ed535db

Observation c73d5b24-1062-43ec-8f6c-fab6d11f1050 · outbound

This paper cites Under uniform initial weights, the leave-one-out scores reduce to unweighted row sums with one column removed; since the AUC is scale-invariant, normalization is unnecessary.

ACES: Who Tests the Tests? Leave-One-Out AUC Consistency for Code Generation Under uniform initial weights, the leave-one-out scores reduce to unweighted row sums with one column removed; since the AUC is scale-invariant, normalization is unnecessary

Reference 19

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source=pdf_text observed=2026-07-14T19:54:08.600196Z digest=sha256:3cfb882ad925e9370a8413ab4177ebcb928bd62e62e4a946a05b9e14ba3b028b

Observation 24c2a085-c8df-4e5e-81eb-6fcd2b2111eb · outbound

This paper cites an unresolved cited work.

ACES: Who Tests the Tests? Leave-One-Out AUC Consistency for Code Generation Unresolved cited work

Reference 20

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source=pdf_text observed=2026-07-14T19:54:08.600196Z digest=sha256:327bbd7c6299e85c997514e86891903764ac8838a3e887e1fe59b362717a9129

Observation a75c7d0c-7173-4710-bfd8-62efb9807525 · outbound

This paper cites correct(α j =1)incorrect(α j <1) perf.

ACES: Who Tests the Tests? Leave-One-Out AUC Consistency for Code Generation correct(α j =1)incorrect(α j <1) perf

Reference 21

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malformed identifier
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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T19:54:08.600196Z digest=sha256:05e692408cba84aad86990d4d4273404a4d236b0aba12d92dcba182ad51063aa

Observation 75890a00-ed46-4d6a-868e-fc8c972131e1 · outbound

This paper cites assert {entry point}(...) ==.

ACES: Who Tests the Tests? Leave-One-Out AUC Consistency for Code Generation assert {entry point}(...) ==

Reference 22

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T19:54:08.600196Z digest=sha256:d7c9b7595f6f2e1f280d48bd2da3c57081f46fe8b69080a406a78873a403b394

Pith citing papers

No inbound Pith citation observations are available.