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Paper Citation Record · LEDGER

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

As of 17 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 2026-08-17T06:30:58.91139+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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-06T14:17:33.929912Z digest=sha256:deb752c21b93c1ffe05929b9796827efe3241e8da34128df68ae0c64090509f5

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-06T14:17:33.934564Z digest=sha256:79544ce8c91826ab7e505c43cc58cbbb3ae701f75e3f60fcd9038c6814d93226

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=sha256:1b3b5b9ee8726b49aecb6f886d4d1edaf98efa3fc4c24b3df490a2eb95f47d7a

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:a022aeecdf56f32b9608f34ac51b32ec7890dd9a83cc30af05abbc0f9b8c7413

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-06T14:17:33.948983Z digest=sha256:062264bf07ecd2af329e5b792582787ebb144df7e713bff2138dcb14e566881c

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-06T14:17:33.958587Z digest=sha256:74f15c5d19e717c85faba74bf29190ab96a82c79cd44ef636dd7c995b8b76906

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-06T14:17:33.967487Z digest=sha256:2234cae7bd2f6a0b9a10a51168d3e8d8087a44a9e57f7acfa9e772c06fcfb8ea

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=sha256:9915b18d9c56c4c26d448261fd79b02ccacb7d04eb4a1aad33c119516149ff3f

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-06T14:17:33.976150Z digest=sha256:ffef5731ff27dd90e1539055388cd14c14f9d36f64d285f119367ac6c74a29c8

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=sha256:4fd595e4b3942e35091c8f87aab589ff937b40525c269f97e6cfffab0fc58319

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-06T14:17:33.995892Z digest=sha256:67ec54316d9381f6bad30bf858553abf1f30e5113933dfb8593ce79f7c722b7b

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=sha256:4b00705fadcc92843b8aac7d4ccf8f8bd85b074d43d07217f18ed7fc46a50b04

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-06T14:17:34.009806Z digest=sha256:4f3bfe9e607b758c66b6dd5b345a34aafad07077e77ccf60950d0f633ab86f7a

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=sha256:7fd7bde1610c38c9906c102e575cb1ab29ab9bad43dd01a87106ac4c659a2b87

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-06T14:17:34.018921Z digest=sha256:2c25ea0e69b45dd66e6e483bb9953172d00ff2fb3d77f84223ce8eb0dcee736d

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-06T14:17:34.023898Z digest=sha256:9d9101d3d6871e949cad561635119c4d797eabacfe93cd38391853ab5aed4a23

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=sha256:99998e5b68b074176339193916269c0da390f47aecc273f817523095fde91e60

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=sha256:3ea6e7cfe98f29de8512b5dbf4a4fc13977c48f625b39539def50a8a8700e895

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:ece236216e00ec42d1a34116af729662cfff02855ddd071502bbeaea57b478cf

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=sha256:628e38be4ff7ebfdc63c193d843f65dacecddd074e74bff69784abafc955c993

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=sha256:9478bffb890fcd0b47192199e251f0075ec4b6bef3bd8ce3b218720f6a24e59d

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:a2f44fb2cb9a24ebf58ba94846964ed83f4b9a4e43e4d550b7c45daf623e6cf2

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-06T14:17:34.056995Z digest=sha256:8873ba2c3a4f72604a8f8c00975cf28fb8dedf522ec4add4cd420fbd566cd794

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-06T14:17:34.061297Z digest=sha256:346390d5d48eac22fdd2c76c93f33fbcbb49ecfbb2c351d9313cc74cd5150837

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=sha256:66bc4651cb679c6db7aec0d789f2fbebc294b4071f98f18493047adbf2e9f7f2

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-06T14:17:34.074689Z digest=sha256:7329aeb88c2e4ba3833619532f7e0687549da98a0b4b6c2f9ae9e12f41d2d20c

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:ac99d698f0433ba894ef50e2ee4e97bf4617c41eb4e578c6da0637b0cf7bd205

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-06T14:17:34.084781Z digest=sha256:a382a712fb0f99974167e5b4e8796c9d1c17e685d0502ca1b0e879113e5eda66

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-06T14:17:34.089042Z digest=sha256:e285d3c803dec78c8ab61fa1fbe724a10598a1699fc255a9e2aab8b94c1448f8

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-06T14:17:34.093393Z digest=sha256:b46bf57f76467ea57d46bdf655d4d8b56a886fb98075e239846a0992d7999f4f

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=sha256:9c98a3a784bd217f9e725691ecbcd6795c76b6b29be5379d53edfb66f56dbf19

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:d42b87551512587cd603a4b4e23996359e1352e9368f9902f8d8c57562cd50da

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=sha256:7866731441cb7edd2600d37f844d02a051525bd5d221ff1a9e6a7ac697ee8c35

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:e3ba74e47cae03f63a1fc9e085a4bddf89aaca8274a4eda8b093d5e5c4e76ca3

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-06T14:17:34.116796Z digest=sha256:73aaa9601ed6740115718f9733671803a2b0e4cc1506912d8e3243f2aab883fd

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=sha256:5cee00267a73aa82e8dac8a3724ee44a91d4efa0c60f16a6cae75ec0b6267f92

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:fab912cf6df501686df35582b60c78ff0ef26f4ffa6dd29d125c84131b840f22

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-06T14:17:34.129485Z digest=sha256:b2890ca75effb798bcaf8f645e38a8825acf5d5ba09cd41b059092f149b67303

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-06T14:17:34.133491Z digest=sha256:313223ae7c71bf56e3fe4600e5a7b5582175b28d04a22895ce200a305e4523b2

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-06T14:17:34.138110Z digest=sha256:956549068c5ba9f91dc4ce903720f0486a16926a489c3d242d8de49ba61b3c68

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-06T14:17:34.142651Z digest=sha256:0e50183210bfc7dce506c9e4761bad67ab1ba621079d646cacf4f7e4368037a6

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-06T14:17:34.147483Z digest=sha256:367f9f1c27c3f02dc558145ab11b53461e6c9e94e2f6928de2707d8d81055932

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-06T14:17:34.152101Z digest=sha256:4f66ebc4ff6971461420bdbc8b1f9ad57dd25d531133bd640dadecfdcd2786cc

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:e4ac68c5007f64b3acc7b1ffcb986d4f53e8a9b9333dc2d3ce77c4a6ef1326d8

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=sha256:26461878f164022355930d148b0bef8eeec6773cfd9d5d9584c358f0b6331d2a

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:a9721a5c249903523020394d66b69269c49b6cce2d49c77955bdb91519f04ecf

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-06T14:17:34.175411Z digest=sha256:4c6fec8b4814fc318bd56be16e43d68010e547306d964155f487fa6651f722f6

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-06T14:17:34.184992Z digest=sha256:3211597f04b706da28a486ac786181e3078913797385daae910651d717b74c8c

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-06T14:17:34.190169Z digest=sha256:40416f42359188bd3e833852817034a442769f3f7d2930600c1bc5f3066e41ae

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=sha256:69ab839eb0451a3191557ccd1fa9eee0d2f42ad9356bd637ce72007ddd4523e9

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-06T14:17:34.204280Z digest=sha256:695d3adc4fdf06923961f25fcf5b71694e6cfe2bcad5998b55bfbe77c59cc977

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:ae35f9326197651703e9edb13851dd2b2a6a1416a3f7fe73ce84802b2dec4f36

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:f91e93dbf7374cd99c597a39a9640bb84a86b91c07fc340b250185b7b14f5680

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:c9ecaa9f7e9eda50665963ff131c13a554b2242e9f1f9152c82b6ff521128bbe

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:f81b651d4c6465357734adce52d852bbca2ef52d7c1c04bc0e093854c1135d33

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-08T18:11:29.066362Z digest=sha256:fa2a18027e778767aa5fc94dce9cfaf86e43139fc751493edad564903750b158