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Paper Citation Record · LEDGER

CodeMorph: Mitigating Data Leakage in Large Language Model Assessment

As of 16 August 2026, this Paper Citation Record lists 51 of 51 outbound references and 0 inbound Pith citation observations for arXiv:2506.17627.

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

pith.paper-citation-record.v1
2506.17627 v1

Coverage vector

measured 51 of 51 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T19:10:37.328523Z

measured 51 of 51 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+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

51 of 51 outbound references displayed

  • verified exact0
  • verified fuzzy18
  • unresolved33
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation f9647e3f-c890-4c6a-a452-3f4ba3eaa40f · outbound

This paper cites an unresolved cited work.

CodeMorph: Mitigating Data Leakage in Large Language Model Assessment Unresolved cited work

Reference 1

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 5853882a-b18f-4958-bd3f-5b0e193cbc80 · outbound

This paper cites an unresolved cited work.

CodeMorph: Mitigating Data Leakage in Large Language Model Assessment Unresolved cited work

Reference 2

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 2e285560-29b1-4001-b407-2dbcfca82d7e · outbound

This paper cites an unresolved cited work.

CodeMorph: Mitigating Data Leakage in Large Language Model Assessment Unresolved cited work

Reference 3

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 2ea1d30b-4472-4315-ab9b-678fec8c3732 · outbound

This paper cites an unresolved cited work.

CodeMorph: Mitigating Data Leakage in Large Language Model Assessment Unresolved cited work

Reference 5

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation dde6b114-b13c-48ca-a4e9-3acaa7fbc2d1 · outbound

This paper cites an unresolved cited work.

CodeMorph: Mitigating Data Leakage in Large Language Model Assessment Unresolved cited work

Reference 6

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unresolved
raw_fallback, observed 2026-08-15T19:10:37.859425Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 58c73a1a-15a2-4a4c-b552-ab7c25d23b90 · outbound

This paper cites an unresolved cited work.

CodeMorph: Mitigating Data Leakage in Large Language Model Assessment Unresolved cited work

Reference 7

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raw_fallback, observed 2026-08-15T19:10:37.849999Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-15T19:10:37.135984Z digest=sha256:736a4c6cf95ff48ec62092458582bc0fa2cd531d400beaf4b9e853367ccd6907

Observation 4743388f-0831-427e-be8c-09065bbcf308 · outbound

This paper cites an unresolved cited work.

CodeMorph: Mitigating Data Leakage in Large Language Model Assessment Unresolved cited work

Reference 8

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raw_fallback, observed 2026-08-15T19:10:37.841161Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-15T19:10:37.139880Z digest=sha256:8527b0045bfda4c916bf04cae4dd8e1adc900a60ef7631d9825f6d0466a39bde

Observation a72cbe2d-e190-454f-9033-08fbd9e87d29 · outbound

This paper cites an unresolved cited work.

CodeMorph: Mitigating Data Leakage in Large Language Model Assessment Unresolved cited work

Reference 9

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raw_fallback, observed 2026-08-15T19:10:37.831704Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-15T19:10:37.144237Z digest=sha256:e748cb97a2669a18c8c3bf09e29d40389dfbf6175edcde6cc3d42a6f4ffff9dc

Observation a5fd7eac-f975-45af-a521-db8200c2a2a8 · outbound

This paper cites PaLM 2 Technical Report.

CodeMorph: Mitigating Data Leakage in Large Language Model Assessment PaLM 2 Technical Report

Reference 10

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no resolver link, observed 2026-08-15T19:10:37.147606Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T19:10:37.147606Z digest=sha256:e8375dbab7b50db60628e4ab9a872d6dae91745f28e0100623188723fab1fb99

Observation db73a2d7-18bc-4cc7-a9e4-3df382e64c03 · outbound

This paper cites Program Synthesis with Large Language Models.

CodeMorph: Mitigating Data Leakage in Large Language Model Assessment Program Synthesis with Large Language Models

Reference 11

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no resolver link, observed 2026-08-15T19:10:37.152235Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T19:10:37.152235Z digest=sha256:7f0462e06651feb8e0474c8a1c11d2be6a3e43f336dc8fa79df31416c4a6f371

Observation a21fcaf0-fd8a-4fc6-a7d3-cd317faa3998 · outbound

This paper cites Concerned with Data Contamination? Assessing Countermeasures in Code Language Model.

CodeMorph: Mitigating Data Leakage in Large Language Model Assessment Concerned with Data Contamination? Assessing Countermeasures in Code Language Model

Reference 12

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no resolver link, observed 2026-08-15T19:10:37.156066Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T19:10:37.156066Z digest=sha256:33fa3c6ba99e86a19d3e38a9ac78dcae309b943b74b7fd11f52a5576c53ee84a

Observation cb0b9001-100e-4278-9a84-ddf229eba252 · outbound

This paper cites Evaluating Large Language Models Trained on Code.

CodeMorph: Mitigating Data Leakage in Large Language Model Assessment Evaluating Large Language Models Trained on Code

Reference 13

Resolution
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no resolver link, observed 2026-08-15T19:10:37.160067Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T19:10:37.160067Z digest=sha256:2c86b6e044e5ca259e53888b202c5474780ecb325c8b8c24c32f0e5dac7ca393

Observation 8bef57e8-21f3-46f6-aebd-85448c4923a1 · outbound

This paper cites Crosscodeeval: A diverse and multilingual benchmark for cross-file code completion,.

CodeMorph: Mitigating Data Leakage in Large Language Model Assessment Crosscodeeval: A diverse and multilingual benchmark for cross-file code completion,

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T19:10:37.822349Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-15T19:10:37.163955Z digest=sha256:c1751dcf003ef89c57b1499e59c0d6d898ceae1ab8968a251edd98d98a6bf3cb

Observation 672b4a52-fa3f-459c-bb04-e1d07e78453a · outbound

This paper cites On the effectiveness of graph data augmentation for source code learning,.

CodeMorph: Mitigating Data Leakage in Large Language Model Assessment On the effectiveness of graph data augmentation for source code learning,

Reference 15

Resolution
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raw_fallback, observed 2026-08-15T19:10:37.812374Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-15T19:10:37.167585Z digest=sha256:e8f0568836df8e1c5c71cc684fb5dea857e4e533dc0b45bac510625a0a599ded

Observation cb21e71b-10fc-432f-9ce4-f2b0f02d457d · outbound

This paper cites ComplexCodeEval: A Benchmark for Evaluating Large Code Models on More Complex Code.

CodeMorph: Mitigating Data Leakage in Large Language Model Assessment ComplexCodeEval: A Benchmark for Evaluating Large Code Models on More Complex Code

Reference 16

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no resolver link, observed 2026-08-15T19:10:37.171496Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T19:10:37.171496Z digest=sha256:26e4fb4223796188d35d1786e599e78dc4ef650229f88209abb771eb77efe64d

Observation b757d0e3-4cb1-479b-a852-7d826fa51e1d · outbound

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

CodeMorph: Mitigating Data Leakage in Large Language Model Assessment DeepSeek-Coder: When the Large Language Model Meets Programming -- The Rise of Code Intelligence

Reference 17

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no resolver link, observed 2026-08-15T19:10:37.175012Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T19:10:37.175012Z digest=sha256:5350e561e4cb69a0f17395f0c3d95f24d14d59c66f44e96c36360cc27fb3da33

Observation 338b9e45-9fce-4cba-ae95-ecbc51148991 · outbound

This paper cites Large language models for software engi- neering: A systematic literature review,.

CodeMorph: Mitigating Data Leakage in Large Language Model Assessment Large language models for software engi- neering: A systematic literature review,

Reference 18

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no resolver link, observed 2026-08-15T19:10:37.178834Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T19:10:37.178834Z digest=sha256:ec6759f4689deb86691a4e31921ea00b643263966a03002a9eb541317ca9982b

Observation 51e849cf-2a1c-4dbd-a0b1-8b8723e3b4e6 · outbound

This paper cites LiveCodeBench: Holistic and Contamination Free Evaluation of Large Language Models for Code.

CodeMorph: Mitigating Data Leakage in Large Language Model Assessment LiveCodeBench: Holistic and Contamination Free Evaluation of Large Language Models for Code

Reference 19

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no resolver link, observed 2026-08-15T19:10:37.182081Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T19:10:37.182081Z digest=sha256:c668cd9b4fe8f6ee407054cd3ae4d7daa9433a6160b35db2bdbef6a06d8d531b

Observation d1a4eced-3d3f-4ac1-920c-8f9b0f8bf8d5 · outbound

This paper cites Detecting logic bugs in database engines via equivalent expression transformation,.

CodeMorph: Mitigating Data Leakage in Large Language Model Assessment Detecting logic bugs in database engines via equivalent expression transformation,

Reference 20

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-15T19:10:37.186663Z digest=sha256:634cd2fb11fe2d4f2707ddcd48243d9dc475ff5156f45adbca235e3da89a3a90

Observation 47d48c8c-096b-40eb-ab3b-f6dc98e5e9e0 · outbound

This paper cites Xcodeeval: An execution-based large scale multilingual multitask benchmark for code understanding, generation, translation and retrieval,.

CodeMorph: Mitigating Data Leakage in Large Language Model Assessment Xcodeeval: An execution-based large scale multilingual multitask benchmark for code understanding, generation, translation and retrieval,

Reference 21

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raw_fallback, observed 2026-08-15T19:10:37.786229Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-15T19:10:37.191007Z digest=sha256:78b4db2ff784e8bedc053469cb976a02c90334de7697f6532e51c0bab08292f8

Observation 61097caf-904b-4a17-97a0-8da4222d21dc · outbound

This paper cites Optimization by simulated annealing,.

CodeMorph: Mitigating Data Leakage in Large Language Model Assessment Optimization by simulated annealing,

Reference 22

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no resolver link, observed 2026-08-15T19:10:37.194334Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 17f20efd-20f2-450d-8dc9-ccdc5cab6091 · outbound

This paper cites Binary codes capable of correcting deletions, inser- tions, and reversals,.

CodeMorph: Mitigating Data Leakage in Large Language Model Assessment Binary codes capable of correcting deletions, inser- tions, and reversals,

Reference 23

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verified fuzzy
raw_fallback, observed 2026-08-15T19:10:37.770919Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation e01e4e1e-6af6-4487-b81c-5a8817455e33 · outbound

This paper cites CodeMind: Evaluating Large Language Models for Code Reasoning.

CodeMorph: Mitigating Data Leakage in Large Language Model Assessment CodeMind: Evaluating Large Language Models for Code Reasoning

Reference 24

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no resolver link, observed 2026-08-15T19:10:37.201962Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T19:10:37.201962Z digest=sha256:130dab9acd18a58046c63a8f958c00664d3ba8a252a84ba52402b256188975ef

Observation 0bc719a4-701d-424f-bb19-f959d26d0a5c · outbound

This paper cites Is your code generated by chatgpt really correct? rigorous evaluation of large language models for code generation,.

CodeMorph: Mitigating Data Leakage in Large Language Model Assessment Is your code generated by chatgpt really correct? rigorous evaluation of large language models for code generation,

Reference 25

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raw_fallback, observed 2026-08-15T19:10:37.761152Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-15T19:10:37.205957Z digest=sha256:4bc386beeef5c7e8ad8a49c4f71565bc6aa24503c9e9424f7baee0c01649b72f

Observation 950731a5-2c67-49f2-8ef4-a37fc05c8992 · outbound

This paper cites {EaTVul}:{ChatGPT-based}evasion attack against software vulnerability detection,.

CodeMorph: Mitigating Data Leakage in Large Language Model Assessment {EaTVul}:{ChatGPT-based}evasion attack against software vulnerability detection,

Reference 26

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verified fuzzy
raw_fallback, observed 2026-08-15T19:10:37.751731Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-15T19:10:37.209344Z digest=sha256:3c09fa45484f3d6e93a4b823ebb23c27c4eb6c2293acdbc1d3cff2637892977e

Observation 68ee8511-b3de-434d-b336-36b447af18a4 · outbound

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

CodeMorph: Mitigating Data Leakage in Large Language Model Assessment StarCoder 2 and The Stack v2: The Next Generation

Reference 27

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no resolver link, observed 2026-08-15T19:10:37.212640Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T19:10:37.212640Z digest=sha256:e72145d6d0d67adb3cb85343e60b8265b323f915b0b1aad280369c464e48408e

Observation 3429ddad-6ebc-4904-97e1-8ab7ab798e58 · outbound

This paper cites Quantifying Contamination in Evaluating Code Generation Capabilities of Language Models.

CodeMorph: Mitigating Data Leakage in Large Language Model Assessment Quantifying Contamination in Evaluating Code Generation Capabilities of Language Models

Reference 28

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no resolver link, observed 2026-08-15T19:10:37.217016Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T19:10:37.217016Z digest=sha256:56df2f3c99b121c0348fbb2fa5b931322ef8516ca85f6e5098f66a34339fa198

Observation 4b19538d-aa16-4caf-85a4-987d3960a9f5 · outbound

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

CodeMorph: Mitigating Data Leakage in Large Language Model Assessment Code Llama: Open Foundation Models for Code

Reference 29

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no resolver link, observed 2026-08-15T19:10:37.221771Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T19:10:37.221771Z digest=sha256:00530077347a0d5735ed448c4d30622823383aa37089e9fa6a50ab51a52e67f3

Observation 73913b21-f393-4d65-b820-f2d93af59e8d · outbound

This paper cites Detecting Pretraining Data from Large Language Models.

CodeMorph: Mitigating Data Leakage in Large Language Model Assessment Detecting Pretraining Data from Large Language Models

Reference 30

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no resolver link, observed 2026-08-15T19:10:37.225821Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T19:10:37.225821Z digest=sha256:2248f373934f5e2e562568f66d71f8ffad8be5a147241bce0376c19f954abd4b

Observation 8608611b-944e-4ee5-a62f-989d862cad5b · outbound

This paper cites Repairbench: Leaderboard of frontier models for program repair,.

CodeMorph: Mitigating Data Leakage in Large Language Model Assessment Repairbench: Leaderboard of frontier models for program repair,

Reference 31

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no resolver link, observed 2026-08-15T19:10:37.230076Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T19:10:37.230076Z digest=sha256:46f97c92a8e03dcd1c3746053ca634898652c2d4af532e369a1b4217c6b97d44

Observation f9cc5812-244d-486c-88d2-543c0daf848d · outbound

This paper cites Codemark: Imperceptible water- marking for code datasets against neural code completion models,.

CodeMorph: Mitigating Data Leakage in Large Language Model Assessment Codemark: Imperceptible water- marking for code datasets against neural code completion models,

Reference 32

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verified fuzzy
raw_fallback, observed 2026-08-15T19:10:37.741827Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 760e5f53-25ba-4986-944a-8d1fe54e42f2 · outbound

This paper cites Recode: Robustness evaluation of code generation models,.

CodeMorph: Mitigating Data Leakage in Large Language Model Assessment Recode: Robustness evaluation of code generation models,

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T19:10:37.732021Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-15T19:10:37.236919Z digest=sha256:2c7092d5a5cf3e8b2c36d03a3d8663f66c028d98dff56d5e38e76ffb215da2f0

Observation bee6413c-6441-40a7-93ed-93c3f8f17741 · outbound

This paper cites CodeUltraFeedback: An LLM-as-a-Judge Dataset for Aligning Large Language Models to Coding Preferences.

CodeMorph: Mitigating Data Leakage in Large Language Model Assessment CodeUltraFeedback: An LLM-as-a-Judge Dataset for Aligning Large Language Models to Coding Preferences

Reference 34

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no resolver link, observed 2026-08-15T19:10:37.240458Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T19:10:37.240458Z digest=sha256:3e431930d1386e8589b10ec3a4ee246d6adfcb41cb5c1cecb6bc00dec6d0c134

Observation c91a4d44-808e-493a-9d2b-80cf13811111 · outbound

This paper cites LiveBench: A Challenging, Contamination-Limited LLM Benchmark.

CodeMorph: Mitigating Data Leakage in Large Language Model Assessment LiveBench: A Challenging, Contamination-Limited LLM Benchmark

Reference 35

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unresolved
no resolver link, observed 2026-08-15T19:10:37.243975Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T19:10:37.243975Z digest=sha256:457f03e71e8cb25feb0ba6f9e1a24d6f0f12b28d80ff96518eb0b32642d34f46

Observation 774795ee-b9cd-4c71-b77b-31099f857353 · outbound

This paper cites Top Leaderboard Ranking = Top Coding Proficiency, Always? EvoEval: Evolving Coding Benchmarks via LLM.

CodeMorph: Mitigating Data Leakage in Large Language Model Assessment Top Leaderboard Ranking = Top Coding Proficiency, Always? EvoEval: Evolving Coding Benchmarks via LLM

Reference 36

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no resolver link, observed 2026-08-15T19:10:37.247818Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T19:10:37.247818Z digest=sha256:70a46711b559b31d26a2981b8ab36fc9db6bcce7c7a990af2137845532e927fc

Observation 2219aa1f-7809-4e86-8870-f52dd196ba25 · outbound

This paper cites Transformcode: A contrastive learning framework for code embedding via subtree transformation,.

CodeMorph: Mitigating Data Leakage in Large Language Model Assessment Transformcode: A contrastive learning framework for code embedding via subtree transformation,

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T19:10:37.721451Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-15T19:10:37.251289Z digest=sha256:183fb181a5f04b0362f974219a72459e0b8eeec3fb17c829c947def731fb47de

Observation 877c4df8-8a14-4c02-a10e-5780448d5a6d · outbound

This paper cites Benchmark Data Contamination of Large Language Models: A Survey.

CodeMorph: Mitigating Data Leakage in Large Language Model Assessment Benchmark Data Contamination of Large Language Models: A Survey

Reference 38

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no resolver link, observed 2026-08-15T19:10:37.254727Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T19:10:37.254727Z digest=sha256:dcc4340c16ffaf1923a24d88445db0a89685246d9cc9c8a69709b306fb7ca0fc

Observation c96bff1d-a9a1-47d2-8585-5c3465cc7552 · outbound

This paper cites CodeScope: An Execution-based Multilingual Multitask Multidimensional Benchmark for Evaluating LLMs on Code Understanding and Generation.

CodeMorph: Mitigating Data Leakage in Large Language Model Assessment CodeScope: An Execution-based Multilingual Multitask Multidimensional Benchmark for Evaluating LLMs on Code Understanding and Generation

Reference 39

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unresolved
no resolver link, observed 2026-08-15T19:10:37.258426Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T19:10:37.258426Z digest=sha256:af1404cb9810e2ec5e9f637692d75660d6e7e9d9476d986144c8b087c9d1ff4c

Observation b68e5998-0bd7-413d-ade1-e8087c08e3de · outbound

This paper cites Srcmarker: Dual-channel source code watermarking via scalable code transformations,.

CodeMorph: Mitigating Data Leakage in Large Language Model Assessment Srcmarker: Dual-channel source code watermarking via scalable code transformations,

Reference 40

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verified fuzzy
raw_fallback, observed 2026-08-15T19:10:37.710418Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-15T19:10:37.262322Z digest=sha256:2ad7fc57efb8782ed6310e63798b7c033beda45314e988d784a2d01e6a0f6e07

Observation 3826a019-05ea-4d9a-9365-5c3523deaad8 · outbound

This paper cites Rethinking Benchmark and Contamination for Language Models with Rephrased Samples.

CodeMorph: Mitigating Data Leakage in Large Language Model Assessment Rethinking Benchmark and Contamination for Language Models with Rephrased Samples

Reference 41

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no resolver link, observed 2026-08-15T19:10:37.265620Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T19:10:37.265620Z digest=sha256:5efcfb0a27155d2a67433323f9f652445094a1c0375168915abd359fe3cbb7b2

Observation c52bbb66-036e-4ee6-a3b7-d9553b1b6010 · outbound

This paper cites Exploiting the adversarial example vulnerability of transfer learning of source code,.

CodeMorph: Mitigating Data Leakage in Large Language Model Assessment Exploiting the adversarial example vulnerability of transfer learning of source code,

Reference 42

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verified fuzzy
raw_fallback, observed 2026-08-15T19:10:37.699875Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-15T19:10:37.271902Z digest=sha256:74ece00c8f44268cd08a0ab3039b169090a4e190aa69c686dfd0fa5b522e8697

Observation 3308eaa1-e95d-4f41-89da-e74cc631b4d3 · outbound

This paper cites Codereval: A benchmark of pragmatic code generation with generative pre-trained models,.

CodeMorph: Mitigating Data Leakage in Large Language Model Assessment Codereval: A benchmark of pragmatic code generation with generative pre-trained models,

Reference 43

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unresolved
no resolver link, observed 2026-08-15T19:10:37.277658Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T19:10:37.277658Z digest=sha256:713eb6886eb984d95e0b0bf1b750df148bdc282bc84e5c228aba5e410e26e71c

Observation 7e360f49-37e1-4575-8ea3-6c40827c88fd · outbound

This paper cites Data augmentation by program transfor- mation,.

CodeMorph: Mitigating Data Leakage in Large Language Model Assessment Data augmentation by program transfor- mation,

Reference 44

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verified fuzzy
raw_fallback, observed 2026-08-15T19:10:37.683606Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-15T19:10:37.283760Z digest=sha256:e44e83e9aba0eb8b6f6ed4723ffcfca96f4b3173d3f57a05b5cfdabc6b6e2ace

Observation c1ab5d69-66ce-4c86-87f9-c901e3a812ca · outbound

This paper cites Coderujb: An executable and unified java benchmark for practical programming scenarios,.

CodeMorph: Mitigating Data Leakage in Large Language Model Assessment Coderujb: An executable and unified java benchmark for practical programming scenarios,

Reference 45

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verified fuzzy
raw_fallback, observed 2026-08-15T19:10:37.674263Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-15T19:10:37.289306Z digest=sha256:ac1bf289bca4fadba37a7ff830ea6bbd5f0f33777147348e13dfb918bc8050a7

Observation 566d66af-d604-4c8d-b241-7aa7321f8b44 · outbound

This paper cites Statfier: Automated testing of static analyzers via semantic-preserving program transformations,.

CodeMorph: Mitigating Data Leakage in Large Language Model Assessment Statfier: Automated testing of static analyzers via semantic-preserving program transformations,

Reference 46

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verified fuzzy
raw_fallback, observed 2026-08-15T19:10:37.664608Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-15T19:10:37.294435Z digest=sha256:c2b9b91c9e2b4beaa674af73a5832922be6727af9f455fbe0a830c3445b1af26

Observation 5da34bbd-8371-485f-94d8-b669ac74f472 · outbound

This paper cites Codebert- attack: Adversarial attack against source code deep learning models via pre-trained model,.

CodeMorph: Mitigating Data Leakage in Large Language Model Assessment Codebert- attack: Adversarial attack against source code deep learning models via pre-trained model,

Reference 47

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verified fuzzy
raw_fallback, observed 2026-08-15T19:10:37.654841Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-15T19:10:37.300169Z digest=sha256:68241a13a03d60b2c0d8808810e85f8091f885b2d49c6a5e48df8f674901e365

Observation 5cf0d098-2d6e-4f41-94f3-a14a464e591f · outbound

This paper cites Challenging machine learning-based clone detectors via semantic-preserving code transformations,.

CodeMorph: Mitigating Data Leakage in Large Language Model Assessment Challenging machine learning-based clone detectors via semantic-preserving code transformations,

Reference 48

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verified fuzzy
raw_fallback, observed 2026-08-15T19:10:37.645183Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-15T19:10:37.305452Z digest=sha256:0ec8be67274e9c83e5a583f6226169bf82ccf0b1c31b30a7eb3077d7ae7e042c

Observation 7402ddcd-3a54-44ac-a033-1ae9515bf7c2 · outbound

This paper cites Codegeex: A pre-trained model for code generation with multilingual benchmarking on humaneval-x,.

CodeMorph: Mitigating Data Leakage in Large Language Model Assessment Codegeex: A pre-trained model for code generation with multilingual benchmarking on humaneval-x,

Reference 49

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unresolved
no resolver link, observed 2026-08-15T19:10:37.310651Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T19:10:37.310651Z digest=sha256:c2c440140a14f62ad68c7551f944a08e4a9c361de8b19289d1c4f2cdbe0424fb

Observation 6b32edac-fd2a-4eba-865e-d257edc06333 · outbound

This paper cites Don't Make Your LLM an Evaluation Benchmark Cheater.

CodeMorph: Mitigating Data Leakage in Large Language Model Assessment Don't Make Your LLM an Evaluation Benchmark Cheater

Reference 50

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unresolved
no resolver link, observed 2026-08-15T19:10:37.316727Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T19:10:37.316727Z digest=sha256:ab5132cb0f4f5508d0d951a07c53d206cadf8d6f7922e2b48b1e088366fa47ac

Observation 59dd302c-8c06-4f00-a4fe-f9b68e74555d · outbound

This paper cites Dynamic evaluation of large language models by meta probing agents,.

CodeMorph: Mitigating Data Leakage in Large Language Model Assessment Dynamic evaluation of large language models by meta probing agents,

Reference 51

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verified fuzzy
raw_fallback, observed 2026-08-15T19:10:37.628324Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-15T19:10:37.322538Z digest=sha256:a526e4442bd3bd2a557a0268d494adb6c768dbbeecab434c647ddffaad9ffd45

Observation 39db3294-f097-4737-9c2b-e51db63c602e · outbound

This paper cites BigCodeBench: Benchmarking Code Generation with Diverse Function Calls and Complex Instructions.

CodeMorph: Mitigating Data Leakage in Large Language Model Assessment BigCodeBench: Benchmarking Code Generation with Diverse Function Calls and Complex Instructions

Reference 52

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unresolved
no resolver link, observed 2026-08-15T19:10:37.328523Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T19:10:37.328523Z digest=sha256:9350b7d8ee9ff0e05c30a074a6cf6cb2947520a7c5aa7002a3ae62cedc0ba360

Pith citing papers

No inbound Pith citation observations are available.