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Paper Citation Record · LEDGER

MOCHA: Are Code Language Models Robust Against Multi-Turn Malicious Coding Prompts?

As of 9 August 2026, this Paper Citation Record lists 66 of 66 outbound references and 1 inbound Pith citation observation for arXiv:2507.19598.

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

pith.paper-citation-record.v1
2507.19598 v1

Coverage vector

measured 66 of 66 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T14:17:34.222274Z

measured 67 of 67 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-08T18:11:29.066362Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-09T06:40:43.418111Z

Reference resolution

66 of 66 outbound references displayed

  • verified exact1
  • verified fuzzy3
  • unresolved62
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 37ffaab7-ac5a-4fe8-8e0b-2b144868314b · outbound

This paper cites online" 'onlinestring :=.

MOCHA: Are Code Language Models Robust Against Multi-Turn Malicious Coding Prompts? online" 'onlinestring :=

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-06T14:17:33.919568Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T14:17:33.919568Z digest=sha256:4010c985ab09eef16b839692135887b3eec370328761182be0b7c53cab69fc2f

Observation 0d7e06d2-be8a-4223-89dd-06c9f87c5fb6 · outbound

This paper cites write newline.

MOCHA: Are Code Language Models Robust Against Multi-Turn Malicious Coding Prompts? write newline

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-06T14:17:33.924620Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T14:17:33.924620Z digest=sha256:2054d571ee920f69dae3dee54ffb889f18d27e532ad2579581a32f48c227ba34

Observation 9a0caa47-50a8-4e08-8c90-06b49e50f64d · outbound

This paper cites an unresolved cited work.

MOCHA: Are Code Language Models Robust Against Multi-Turn Malicious Coding Prompts? Unresolved cited work

Reference 3

Resolution
unresolved
raw_fallback, observed 2026-08-06T14:17:35.188166Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T14:17:33.929912Z digest=sha256:ada23d3df780c06abc91286167b7b6a9bd79b127e83612773b89a2077cd471c1

Observation ea964457-0d55-42ab-a21a-7a8af3e8a3b7 · outbound

This paper cites an unresolved cited work.

MOCHA: Are Code Language Models Robust Against Multi-Turn Malicious Coding Prompts? Unresolved cited work

Reference 4

Resolution
unresolved
raw_fallback, observed 2026-08-06T14:17:35.173820Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T14:17:33.934564Z digest=sha256:1bbf21eda380bd7c7a04fa0cefcd838b62ad082a21182be03a952825e2517ac4

Observation 53fb0fc3-ddc3-4303-b440-bdb43f3cddbe · outbound

This paper cites Program Synthesis with Large Language Models.

MOCHA: Are Code Language Models Robust Against Multi-Turn Malicious Coding Prompts? Program Synthesis with Large Language Models

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-06T14:17:33.939205Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T14:17:33.939205Z digest=sha256:35d2b2e9bd25355c2db7fdf6fbae8c7e4938858c9ed1de6f9248b960591fbd78

Observation 5a4b65dc-e703-4c74-bf6e-4852814bd122 · outbound

This paper cites Current state of LLM Risks and AI Guardrails.

MOCHA: Are Code Language Models Robust Against Multi-Turn Malicious Coding Prompts? Current state of LLM Risks and AI Guardrails

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-06T14:17:33.944174Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T14:17:33.944174Z digest=sha256:d7f8194bb1e2ff1b4938de8b50ebb9b8e4a71563e02e33b145ffbf262689ea93

Observation 4092088a-bc18-4c4d-9b8f-1c99dc4d775c · outbound

This paper cites Pappas, Florian Tramèr, Hamed Hassani, and Eric Wong.

MOCHA: Are Code Language Models Robust Against Multi-Turn Malicious Coding Prompts? Pappas, Florian Tramèr, Hamed Hassani, and Eric Wong

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T14:17:35.159833Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T14:17:33.948983Z digest=sha256:17e2d1be613056d830dc4fd4c2ff59135500263cd7ef80f0e29bb58f4b3279c5

Observation 45006973-2993-4726-baff-9e9d08d6b286 · outbound

This paper cites an unresolved cited work.

MOCHA: Are Code Language Models Robust Against Multi-Turn Malicious Coding Prompts? Unresolved cited work

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-06T14:17:33.953573Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T14:17:33.953573Z digest=sha256:2341cb84374f81af391ac75380d3624393787ca474da695cb0127ae85ed8ef70

Observation 3a45aec8-7049-4b56-aec3-6fd8b29e4466 · outbound

This paper cites an unresolved cited work.

MOCHA: Are Code Language Models Robust Against Multi-Turn Malicious Coding Prompts? Unresolved cited work

Reference 9

Resolution
unresolved
raw_fallback, observed 2026-08-06T14:17:35.135596Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T14:17:33.958587Z digest=sha256:f0c9100bcefc799f824c5d70a2fef1f1050606760c7ff6ee2febd661efbb8567

Observation 6db30f83-9cda-4a62-b69a-71eaca105886 · outbound

This paper cites Evaluating Large Language Models Trained on Code.

MOCHA: Are Code Language Models Robust Against Multi-Turn Malicious Coding Prompts? Evaluating Large Language Models Trained on Code

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-06T14:17:33.962945Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T14:17:33.962945Z digest=sha256:166434325d7302bc23a5ab62ba8344de24681ffaaff6381de3d77796402cb283

Observation 6eade46b-9d8c-49ff-839f-ddf0763d7fd2 · outbound

This paper cites an unresolved cited work.

MOCHA: Are Code Language Models Robust Against Multi-Turn Malicious Coding Prompts? Unresolved cited work

Reference 11

Resolution
unresolved
raw_fallback, observed 2026-08-06T14:17:35.120662Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T14:17:33.967487Z digest=sha256:55d1811f2306c4619591883530a9db970fd5c7d5c1b808f302067e9a6d482623

Observation 2a9d7ed4-7d0f-4b28-877f-056e48047169 · outbound

This paper cites Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context.

MOCHA: Are Code Language Models Robust Against Multi-Turn Malicious Coding Prompts? Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-06T14:17:33.971514Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T14:17:33.971514Z digest=sha256:ff82c9d7228427623e16fbae5f7dab3115c419dc83abbf5cec3e342202541bca

Observation 8c9f464e-404e-4d90-96da-9c20507e2ef0 · outbound

This paper cites an unresolved cited work.

MOCHA: Are Code Language Models Robust Against Multi-Turn Malicious Coding Prompts? Unresolved cited work

Reference 13

Resolution
unresolved
raw_fallback, observed 2026-08-06T14:17:35.105295Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T14:17:33.976150Z digest=sha256:d752b530ede081c6441f4bf4cb2e9e7016dcb2a49e502d100fd57db386c6a787

Observation c008dd53-ba9c-42be-a6c2-309653a54e0c · outbound

This paper cites DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning.

MOCHA: Are Code Language Models Robust Against Multi-Turn Malicious Coding Prompts? DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-06T14:17:33.981347Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T14:17:33.981347Z digest=sha256:8a6ee7f1f4481b741a649a9831a53d86720788704776fcddc66a3cf38cbe041b

Observation 3aced54b-a0d5-4ae1-9a4a-05285eb2ccfd · outbound

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

MOCHA: Are Code Language Models Robust Against Multi-Turn Malicious Coding Prompts? DeepSeek-Coder: When the Large Language Model Meets Programming -- The Rise of Code Intelligence

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-06T14:17:33.986958Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T14:17:33.986958Z digest=sha256:4a33eec6e2613094c22681082d101a81903f4f5d67f410eaa8fba570570e4a9b

Observation ccad6203-f1f7-4a9e-9e97-7edc80632c5e · outbound

This paper cites an unresolved cited work.

MOCHA: Are Code Language Models Robust Against Multi-Turn Malicious Coding Prompts? Unresolved cited work

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-06T14:17:33.991518Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T14:17:33.991518Z digest=sha256:a0c41f0ad7437a864935bfae20293b393254e29821973e76480efeeb34398b27

Observation b192359c-fd7a-4254-bb8f-4ea2eb7b3c3b · outbound

This paper cites an unresolved cited work.

MOCHA: Are Code Language Models Robust Against Multi-Turn Malicious Coding Prompts? Unresolved cited work

Reference 17

Resolution
unresolved
raw_fallback, observed 2026-08-06T14:17:35.080091Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T14:17:33.995892Z digest=sha256:0d00ec91d9671f58fe07cfd873af2fd65534914ee37fa3d7fec8cd8335ccfe03

Observation a20770c5-81f5-4ece-9d9e-a16cd9d1ce50 · outbound

This paper cites Qwen2.5-Coder Technical Report.

MOCHA: Are Code Language Models Robust Against Multi-Turn Malicious Coding Prompts? Qwen2.5-Coder Technical Report

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-06T14:17:34.000469Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T14:17:34.000469Z digest=sha256:63767c732c4a6b64851855850dd6e741ddb3fd2e72c7b14f7c01fd8c444301ba

Observation 3f1abfb7-4045-4513-8872-a14509481c0e · outbound

This paper cites GPT-4o System Card.

MOCHA: Are Code Language Models Robust Against Multi-Turn Malicious Coding Prompts? GPT-4o System Card

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-06T14:17:34.005123Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T14:17:34.005123Z digest=sha256:7fd2971a36baaf0e3966f2e4f7527271da20cb64d824118f1f93d512eaab37ed

Observation 40c12aa5-71cc-49a5-a2b1-fa3bb37cb32a · outbound

This paper cites an unresolved cited work.

MOCHA: Are Code Language Models Robust Against Multi-Turn Malicious Coding Prompts? Unresolved cited work

Reference 20

Resolution
unresolved
raw_fallback, observed 2026-08-06T14:17:35.063820Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T14:17:34.009806Z digest=sha256:b23c1327412bff1569c7d3f5806551bce3beb61f585ccca4b14409a67a9e89fa

Observation 3c68d9a8-3a77-4b64-a581-e5db2fdb1fd3 · outbound

This paper cites Black-Box Adversarial Attacks on LLM-Based Code Completion.

MOCHA: Are Code Language Models Robust Against Multi-Turn Malicious Coding Prompts? Black-Box Adversarial Attacks on LLM-Based Code Completion

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-06T14:17:34.014107Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T14:17:34.014107Z digest=sha256:c79faaf0f058c4d58cd1e777556c16b056c07446485d28bf3a9ce6af9aba8522

Observation adc9ed4f-4ef7-46ff-b53b-9ac7fcfa66d3 · outbound

This paper cites an unresolved cited work.

MOCHA: Are Code Language Models Robust Against Multi-Turn Malicious Coding Prompts? Unresolved cited work

Reference 22

Resolution
unresolved
raw_fallback, observed 2026-08-06T14:17:35.048765Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T14:17:34.018921Z digest=sha256:9f3bcf1dd447a29e977a5db1f8e617ba0109a58ae4282bbe6205d0b75d4b5f34

Observation 57a212a1-f060-4334-b1c9-1b0764783bd5 · outbound

This paper cites an unresolved cited work.

MOCHA: Are Code Language Models Robust Against Multi-Turn Malicious Coding Prompts? Unresolved cited work

Reference 23

Resolution
unresolved
raw_fallback, observed 2026-08-06T14:17:35.033795Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T14:17:34.023898Z digest=sha256:b9b08c1d3489a362ca764509fef1fa051ff65ce29f829401233628ba4db7a08d

Observation 204a80ca-88e5-49b0-8b27-aad8b3a8087c · outbound

This paper cites Weight Poisoning Attacks on Pre-trained Models.

MOCHA: Are Code Language Models Robust Against Multi-Turn Malicious Coding Prompts? Weight Poisoning Attacks on Pre-trained Models

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-06T14:17:34.028517Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T14:17:34.028517Z digest=sha256:5072c9c0b72ae35e1d2d5d498443d6dc547e6f44f67d7c6f2a641f50b3e4b4de

Observation 71226ad7-b208-4b86-9b7a-fdf73dd78354 · outbound

This paper cites Multi-step Jailbreaking Privacy Attacks on ChatGPT.

MOCHA: Are Code Language Models Robust Against Multi-Turn Malicious Coding Prompts? Multi-step Jailbreaking Privacy Attacks on ChatGPT

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-06T14:17:34.033208Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T14:17:34.033208Z digest=sha256:3d3413fc1f353e2425c332005abb3db3460730880d465f06fb99cfcb5d10467d

Observation ff0af0ba-d940-4cf2-8a44-c9068ef14846 · outbound

This paper cites Poison Attack and Defense on Deep Source Code Processing Models.

MOCHA: Are Code Language Models Robust Against Multi-Turn Malicious Coding Prompts? Poison Attack and Defense on Deep Source Code Processing Models

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-06T14:17:34.037962Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T14:17:34.037962Z digest=sha256:2f791680dbdc692b941c1a401501987b23523006700d2f53124ed3f91479519d

Observation 060894a7-227d-4cf6-8b0f-f14d2eb9eedd · outbound

This paper cites Prefix-Tuning: Optimizing Continuous Prompts for Generation.

MOCHA: Are Code Language Models Robust Against Multi-Turn Malicious Coding Prompts? Prefix-Tuning: Optimizing Continuous Prompts for Generation

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-06T14:17:34.043006Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T14:17:34.043006Z digest=sha256:7100c3f6f940ab10935997cf891382cd6dd0713378de00d2c2dec45b0c9e352c

Observation 2ec0a1f8-133e-40d9-9654-d890fa24975d · outbound

This paper cites Semantic Mirror Jailbreak: Genetic Algorithm Based Jailbreak Prompts Against Open-source LLMs.

MOCHA: Are Code Language Models Robust Against Multi-Turn Malicious Coding Prompts? Semantic Mirror Jailbreak: Genetic Algorithm Based Jailbreak Prompts Against Open-source LLMs

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-06T14:17:34.047566Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T14:17:34.047566Z digest=sha256:251e310f4df81be51582a2eeeffe69e9496e945bbaad4434cba9429c49f814b0

Observation 40d2e219-8165-46f0-99d4-59d42c76d1d7 · outbound

This paper cites DeepInception: Hypnotize Large Language Model to Be Jailbreaker.

MOCHA: Are Code Language Models Robust Against Multi-Turn Malicious Coding Prompts? DeepInception: Hypnotize Large Language Model to Be Jailbreaker

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-06T14:17:34.052152Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T14:17:34.052152Z digest=sha256:34d85e1e9230e6de0c8d82e236719970c2daf59c2652067ca3764185d838a715

Observation a6959fcb-0291-44e0-976d-e49011131b55 · outbound

This paper cites an unresolved cited work.

MOCHA: Are Code Language Models Robust Against Multi-Turn Malicious Coding Prompts? Unresolved cited work

Reference 30

Resolution
unresolved
raw_fallback, observed 2026-08-06T14:17:35.019702Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T14:17:34.056995Z digest=sha256:b3950c27ac94adcbc110f191de85a8e2b70e08032f92d2ee8717f899443e3707

Observation 4b4101e4-96e3-43dc-8b31-dcf6b5f4a6f5 · outbound

This paper cites an unresolved cited work.

MOCHA: Are Code Language Models Robust Against Multi-Turn Malicious Coding Prompts? Unresolved cited work

Reference 31

Resolution
unresolved
raw_fallback, observed 2026-08-06T14:17:35.004575Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T14:17:34.061297Z digest=sha256:dfaa1b79b5550b17048e0a78e50a40128d635701c7205e32e20c22c8b9e6b674

Observation 8179bc0a-abf7-4c3e-bb36-56274eebb5fd · outbound

This paper cites an unresolved cited work.

MOCHA: Are Code Language Models Robust Against Multi-Turn Malicious Coding Prompts? Unresolved cited work

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-06T14:17:34.065654Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T14:17:34.065654Z digest=sha256:d862871fd1f80d2eb6e103f99700fc6edd98884813aa21147062955fa0a9ba1e

Observation baa84667-355f-4ecc-a18b-25861e850d3b · outbound

This paper cites Making Them Ask and Answer: Jailbreaking Large Language Models in Few Queries via Disguise and Reconstruction.

MOCHA: Are Code Language Models Robust Against Multi-Turn Malicious Coding Prompts? Making Them Ask and Answer: Jailbreaking Large Language Models in Few Queries via Disguise and Reconstruction

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-06T14:17:34.069998Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T14:17:34.069998Z digest=sha256:1459963c06a184032ab6a4b91c90b1c932e7d9915dc51f5ece5688c10299376d

Observation 52ab80cb-71cf-469e-880d-1fcbc44ff784 · outbound

This paper cites an unresolved cited work.

MOCHA: Are Code Language Models Robust Against Multi-Turn Malicious Coding Prompts? Unresolved cited work

Reference 34

Resolution
unresolved
raw_fallback, observed 2026-08-06T14:17:34.979453Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T14:17:34.074689Z digest=sha256:06aa28ee34cddd5bc5bbc1a0e57a421543f756ad7d073ce3d4cec362930d2832

Observation 3a825ab1-929e-4a44-8868-1ed25dbceec7 · outbound

This paper cites HarmBench: A Standardized Evaluation Framework for Automated Red Teaming and Robust Refusal.

MOCHA: Are Code Language Models Robust Against Multi-Turn Malicious Coding Prompts? HarmBench: A Standardized Evaluation Framework for Automated Red Teaming and Robust Refusal

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-06T14:17:34.080159Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T14:17:34.080159Z digest=sha256:cac112233cbb16907ff4a0fe5e1f3535e87e4ecc3bb859e31ab994a3b0c5fbd5

Observation f47e388f-5324-47fe-8284-fade82f509fa · outbound

This paper cites an unresolved cited work.

MOCHA: Are Code Language Models Robust Against Multi-Turn Malicious Coding Prompts? Unresolved cited work

Reference 36

Resolution
unresolved
raw_fallback, observed 2026-08-06T14:17:34.964757Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T14:17:34.084781Z digest=sha256:9fb8416d34b9c78fffe3b65c588675032fb338310b0c6f3c4f6735003d03157c

Observation a798bf4d-aa40-4977-a6e9-f67bdf4b7bff · outbound

This paper cites an unresolved cited work.

MOCHA: Are Code Language Models Robust Against Multi-Turn Malicious Coding Prompts? Unresolved cited work

Reference 37

Resolution
unresolved
raw_fallback, observed 2026-08-06T14:17:34.950551Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T14:17:34.089042Z digest=sha256:14541948836467c1e37d8c081f5aa65cdfe9bae24d9da45526873bb423d5b323

Observation bc63933c-d014-452b-a801-ac4b251be6c2 · outbound

This paper cites Adversarial Attacks on Code Models with Discriminative Graph Patterns.

MOCHA: Are Code Language Models Robust Against Multi-Turn Malicious Coding Prompts? Adversarial Attacks on Code Models with Discriminative Graph Patterns

Reference 38

Resolution
verified exact
local_arxiv, observed 2026-08-06T14:17:34.521933Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T14:17:34.093393Z digest=sha256:961930432cb3e18ea1ad63bafe98fff9a7483ffc9dba640db41d38c0f5daa243

Observation 244baaa4-215f-4049-ade9-b8e4a50702d5 · outbound

This paper cites MCGMark: An Encodable and Robust Online Watermark for Tracing LLM-Generated Malicious Code.

MOCHA: Are Code Language Models Robust Against Multi-Turn Malicious Coding Prompts? MCGMark: An Encodable and Robust Online Watermark for Tracing LLM-Generated Malicious Code

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-06T14:17:34.098012Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T14:17:34.098012Z digest=sha256:1d331d9269359332736193f4629a61f5fd0d6af695707fdca33aeb7b595b695e

Observation 9026f885-45b9-4f61-9058-67dcfbe230f6 · outbound

This paper cites Smoke and Mirrors: Jailbreaking LLM-based Code Generation via Implicit Malicious Prompts.

MOCHA: Are Code Language Models Robust Against Multi-Turn Malicious Coding Prompts? Smoke and Mirrors: Jailbreaking LLM-based Code Generation via Implicit Malicious Prompts

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-06T14:17:34.102503Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T14:17:34.102503Z digest=sha256:41b9480394fb4b08c43fa860062be7da0e1f5c979bb62d1603a511d9af8ead6e

Observation c8013930-7883-4a0c-9f04-f5da84138e39 · outbound

This paper cites Stable Code Technical Report.

MOCHA: Are Code Language Models Robust Against Multi-Turn Malicious Coding Prompts? Stable Code Technical Report

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-06T14:17:34.107000Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T14:17:34.107000Z digest=sha256:d657dcf0fa4d10c2b3d5623aa7b6b4718fdfe8fdd3dfcff2cc88879a93a66699

Observation 785be951-bb88-4fa1-9798-ab5c22fe1475 · outbound

This paper cites Ignore This Title and HackAPrompt: Exposing Systemic Vulnerabilities of LLMs through a Global Scale Prompt Hacking Competition.

MOCHA: Are Code Language Models Robust Against Multi-Turn Malicious Coding Prompts? Ignore This Title and HackAPrompt: Exposing Systemic Vulnerabilities of LLMs through a Global Scale Prompt Hacking Competition

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-06T14:17:34.111176Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T14:17:34.111176Z digest=sha256:c2c046e77e3cfa2aff8db70507d91508ff16b10a69388d7652916f4d85cffced

Observation b347042f-c7c5-46c4-85c1-8c3fe211614c · outbound

This paper cites an unresolved cited work.

MOCHA: Are Code Language Models Robust Against Multi-Turn Malicious Coding Prompts? Unresolved cited work

Reference 43

Resolution
unresolved
raw_fallback, observed 2026-08-06T14:17:34.936412Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T14:17:34.116796Z digest=sha256:45aa921b3c784b733ecbc4367e6f474ec001fb9677ac68fa2afe3481dba4dbb5

Observation 5bb6def3-2f52-4d35-8150-66280a73bd78 · outbound

This paper cites Scalable and Transferable Black-Box Jailbreaks for Language Models via Persona Modulation.

MOCHA: Are Code Language Models Robust Against Multi-Turn Malicious Coding Prompts? Scalable and Transferable Black-Box Jailbreaks for Language Models via Persona Modulation

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-06T14:17:34.120945Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T14:17:34.120945Z digest=sha256:af7343aad2aa9d5a7f45f5acdc33b15acd2a9ffa968e3e417d715a8ad2986162

Observation acf24cbf-06f3-44f1-ac5d-9e7e1d33faf9 · outbound

This paper cites "Do Anything Now": Characterizing and Evaluating In-The-Wild Jailbreak Prompts on Large Language Models.

MOCHA: Are Code Language Models Robust Against Multi-Turn Malicious Coding Prompts? "Do Anything Now": Characterizing and Evaluating In-The-Wild Jailbreak Prompts on Large Language Models

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-06T14:17:34.125236Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T14:17:34.125236Z digest=sha256:f1eb41ab535be0764c8bdd20ed70ea2323593327727eea3021b41d97f7a9acfb

Observation 13728a85-6f3b-41b9-a054-7a3d31c9ea15 · outbound

This paper cites do anything now.

MOCHA: Are Code Language Models Robust Against Multi-Turn Malicious Coding Prompts? do anything now

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T14:17:34.921177Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T14:17:34.129485Z digest=sha256:4500e798f32e988af18a292fe75bdecb07a3352ce5e8aaa2f073be3d5ea08e31

Observation b0188a34-9bb3-4bda-b6b6-8fb453996bc8 · outbound

This paper cites an unresolved cited work.

MOCHA: Are Code Language Models Robust Against Multi-Turn Malicious Coding Prompts? Unresolved cited work

Reference 47

Resolution
unresolved
raw_fallback, observed 2026-08-06T14:17:34.906958Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T14:17:34.133491Z digest=sha256:b86c3ba8180520bb6351bec63857d9066c73d32b8cab833f312d2d5f553b1dea

Observation 27fef6b1-727f-4ea9-8bbb-a3232639d4c6 · outbound

This paper cites an unresolved cited work.

MOCHA: Are Code Language Models Robust Against Multi-Turn Malicious Coding Prompts? Unresolved cited work

Reference 48

Resolution
unresolved
raw_fallback, observed 2026-08-06T14:17:34.892151Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T14:17:34.138110Z digest=sha256:4722b41f263357139a853be82e1902c1ecfa724e5216f95f4ecafcc1192468c7

Observation a221f908-2a1d-402d-a4aa-2a6616c1d40c · outbound

This paper cites an unresolved cited work.

MOCHA: Are Code Language Models Robust Against Multi-Turn Malicious Coding Prompts? Unresolved cited work

Reference 49

Resolution
unresolved
raw_fallback, observed 2026-08-06T14:17:34.877489Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T14:17:34.142651Z digest=sha256:5d032169f97ae1b6120eb21dcb962f59d3eb909784fbc92b937410c44489d838

Observation caf1afc7-1aa6-411c-91d7-062aabb5bc84 · outbound

This paper cites Bui, Junnan Li, and Steven C.

MOCHA: Are Code Language Models Robust Against Multi-Turn Malicious Coding Prompts? Bui, Junnan Li, and Steven C

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T14:17:34.862565Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T14:17:34.147483Z digest=sha256:a490c3ec97c85508a6007fac33b689d578bf7a3b761c31459b9f6165ec1fe2bc

Observation 0e1502ab-2abd-479a-9b3d-e097a54da48f · outbound

This paper cites an unresolved cited work.

MOCHA: Are Code Language Models Robust Against Multi-Turn Malicious Coding Prompts? Unresolved cited work

Reference 51

Resolution
unresolved
raw_fallback, observed 2026-08-06T14:17:34.846825Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T14:17:34.152101Z digest=sha256:e947123ba5c8fcf4b4cb5d71faf67331ad637e13cbbb5cf6eaf928d09b54f6c0

Observation f0d19bb1-5cea-4a7d-928b-271ecf66ead2 · outbound

This paper cites Jailbreak and Guard Aligned Language Models with Only Few In-Context Demonstrations.

MOCHA: Are Code Language Models Robust Against Multi-Turn Malicious Coding Prompts? Jailbreak and Guard Aligned Language Models with Only Few In-Context Demonstrations

Reference 52

Resolution
unresolved
no resolver link, observed 2026-08-06T14:17:34.156403Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T14:17:34.156403Z digest=sha256:97c2618fe831fb507eade88f1b8f0e96bef399cf907e2d084975d16b1ce53440

Observation 5edf3011-c67e-48e4-8316-e24a30fcb453 · outbound

This paper cites HuggingFace's Transformers: State-of-the-art Natural Language Processing.

MOCHA: Are Code Language Models Robust Against Multi-Turn Malicious Coding Prompts? HuggingFace's Transformers: State-of-the-art Natural Language Processing

Reference 53

Resolution
unresolved
no resolver link, observed 2026-08-06T14:17:34.161034Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T14:17:34.161034Z digest=sha256:6003d3205aaf3afe2e3c305fbb566edcc6aef46ca59f9a157013d257301ac707

Observation 9c1d2248-9164-4014-a77f-3ee2127b9e30 · outbound

This paper cites DeceptPrompt: Exploiting LLM-driven Code Generation via Adversarial Natural Language Instructions.

MOCHA: Are Code Language Models Robust Against Multi-Turn Malicious Coding Prompts? DeceptPrompt: Exploiting LLM-driven Code Generation via Adversarial Natural Language Instructions

Reference 54

Resolution
unresolved
no resolver link, observed 2026-08-06T14:17:34.165989Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T14:17:34.165989Z digest=sha256:ce3a225f0c889b3ac521f7f1de6b4d65c375bd81ced234138abf299d0a2256a2

Observation 7a117660-36c4-4343-8ab8-4f9449d4e76f · outbound

This paper cites Distract Large Language Models for Automatic Jailbreak Attack.

MOCHA: Are Code Language Models Robust Against Multi-Turn Malicious Coding Prompts? Distract Large Language Models for Automatic Jailbreak Attack

Reference 55

Resolution
unresolved
no resolver link, observed 2026-08-06T14:17:34.170738Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T14:17:34.170738Z digest=sha256:a2564e04f84318e8dbf5920643602dea29e178fda035f0d5452b85d047036c20

Observation a5c7ceea-3fe5-45c1-b837-7d3923317a9c · outbound

This paper cites an unresolved cited work.

MOCHA: Are Code Language Models Robust Against Multi-Turn Malicious Coding Prompts? Unresolved cited work

Reference 56

Resolution
unresolved
raw_fallback, observed 2026-08-06T14:17:34.832686Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T14:17:34.175411Z digest=sha256:9c57c0eb41f7a2a904580068e1f23d9c93f8a50f17e17e30901fa13c849f788d

Observation f377115b-9582-4625-ab26-3a4db9b55421 · outbound

This paper cites Qwen2.5 Technical Report.

MOCHA: Are Code Language Models Robust Against Multi-Turn Malicious Coding Prompts? Qwen2.5 Technical Report

Reference 57

Resolution
unresolved
no resolver link, observed 2026-08-06T14:17:34.179814Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T14:17:34.179814Z digest=sha256:2913521d8194a93d0dcb631ea214936ee711ede9f6e60f872c6c084dfa9816ea

Observation 34fd68c6-8e1a-4bdf-8360-46c8090b9589 · outbound

This paper cites an unresolved cited work.

MOCHA: Are Code Language Models Robust Against Multi-Turn Malicious Coding Prompts? Unresolved cited work

Reference 58

Resolution
unresolved
raw_fallback, observed 2026-08-06T14:17:34.818038Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T14:17:34.184992Z digest=sha256:061091fee0c592d184b9bcd3785d6563f6e62ba86c39831d84f15c49d7f00542

Observation aa364861-72da-46cb-bd9c-3a79c2ab8524 · outbound

This paper cites an unresolved cited work.

MOCHA: Are Code Language Models Robust Against Multi-Turn Malicious Coding Prompts? Unresolved cited work

Reference 59

Resolution
unresolved
raw_fallback, observed 2026-08-06T14:17:34.803381Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T14:17:34.190169Z digest=sha256:dbe2ace8f4f041d75b8c7d6f1252bc1782c403e3ffcd2769f786af8b2708587d

Observation 2eaa5a68-5dd6-4827-9afa-65ce0a6ba6cf · outbound

This paper cites Jailbreak Attacks and Defenses Against Large Language Models: A Survey.

MOCHA: Are Code Language Models Robust Against Multi-Turn Malicious Coding Prompts? Jailbreak Attacks and Defenses Against Large Language Models: A Survey

Reference 60

Resolution
unresolved
no resolver link, observed 2026-08-06T14:17:34.194919Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T14:17:34.194919Z digest=sha256:e9d4c9d7958a8e9747cd7e57828a13bba61db60575113b9d540c36e963258c72

Observation 40b05130-1ee7-4b10-80ce-dd7237c03fe8 · outbound

This paper cites GPTFUZZER: Red Teaming Large Language Models with Auto-Generated Jailbreak Prompts.

MOCHA: Are Code Language Models Robust Against Multi-Turn Malicious Coding Prompts? GPTFUZZER: Red Teaming Large Language Models with Auto-Generated Jailbreak Prompts

Reference 61

Resolution
unresolved
no resolver link, observed 2026-08-06T14:17:34.199649Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T14:17:34.199649Z digest=sha256:1aee31197c53f5d4546eec377ed136d131e232fa27a1973032c8636486c1c07e

Observation 2732097e-1d40-414b-8d74-1d51d152cd73 · outbound

This paper cites an unresolved cited work.

MOCHA: Are Code Language Models Robust Against Multi-Turn Malicious Coding Prompts? Unresolved cited work

Reference 62

Resolution
unresolved
raw_fallback, observed 2026-08-06T14:17:34.789224Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T14:17:34.204280Z digest=sha256:9faa8f0d282f62e49992c377d7cf35f94fe18ea590ce6318057336858278f7d2

Observation 3290d4ab-23ea-4fea-bacf-ac6cc6ab5f09 · outbound

This paper cites Planning with Large Language Models for Code Generation.

MOCHA: Are Code Language Models Robust Against Multi-Turn Malicious Coding Prompts? Planning with Large Language Models for Code Generation

Reference 63

Resolution
unresolved
no resolver link, observed 2026-08-06T14:17:34.208822Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T14:17:34.208822Z digest=sha256:9a03dd12c0bc84f941bfa041052533bb0e118344e2f302b6b09c0f45a690781c

Observation a410bd37-bc7b-4bed-9f34-2e7764a5c0d9 · outbound

This paper cites A Survey of Large Language Models.

MOCHA: Are Code Language Models Robust Against Multi-Turn Malicious Coding Prompts? A Survey of Large Language Models

Reference 64

Resolution
unresolved
no resolver link, observed 2026-08-06T14:17:34.213168Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T14:17:34.213168Z digest=sha256:1b641cb4f30bc3d7b9990bc0899c2434f381b8d3872e05ff69e0c5ffe3aeebc7

Observation 0c527634-5b21-4a90-8428-51254dd51349 · outbound

This paper cites XLCoST: A Benchmark Dataset for Cross-lingual Code Intelligence.

MOCHA: Are Code Language Models Robust Against Multi-Turn Malicious Coding Prompts? XLCoST: A Benchmark Dataset for Cross-lingual Code Intelligence

Reference 65

Resolution
unresolved
no resolver link, observed 2026-08-06T14:17:34.217751Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T14:17:34.217751Z digest=sha256:3d8f9f52e1544d19083599354a6ae99256020765a11ba67f1df3a93b5d5a78fd

Observation 258945a3-61a4-4d26-ad7a-a680973cd1d1 · outbound

This paper cites Universal and Transferable Adversarial Attacks on Aligned Language Models.

MOCHA: Are Code Language Models Robust Against Multi-Turn Malicious Coding Prompts? Universal and Transferable Adversarial Attacks on Aligned Language Models

Reference 66

Resolution
unresolved
no resolver link, observed 2026-08-06T14:17:34.222274Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T14:17:34.222274Z digest=sha256:f4dbc1840b0f304a96404c57a001579eecf52126f8672009584bbf09183656e4

Pith citing papers

Observation a6323aa7-82d6-4bb7-8bc6-17720cb20dba · inbound

A Validated Prompt Bank for Malicious Code Generation: Separating Executable Weapons from Security Knowledge in 1,554 Consensus-Labeled Prompts cites this paper.

A Validated Prompt Bank for Malicious Code Generation: Separating Executable Weapons from Security Knowledge in 1,554 Consensus-Labeled Prompts MOCHA: Are Code Language Models Robust Against Multi-Turn Malicious Coding Prompts?

Reference 26

Resolution
verified exact
arxiv_id, observed 2026-05-09T06:40:43.420393Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-08T18:11:29.066362Z digest=sha256:68f6fd3586a1fb496dbbb780e4a09582cf7b992856f13a6ee1e94931f85fd2fe