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Paper Citation Record · LEDGER

Exploring the Security Threats of Knowledge Base Poisoning in Retrieval-Augmented Code Generation

As of 9 August 2026, this Paper Citation Record lists 93 of 93 outbound references and 3 inbound Pith citation observations for arXiv:2502.03233.

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

pith.paper-citation-record.v1
2502.03233 v1

Coverage vector

measured 93 of 93 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-09T05:31:14.492097Z

measured 96 of 96 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 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T21:33:58.248696Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T21:48:59.052188Z

Reference resolution

93 of 93 outbound references displayed

  • verified exact0
  • verified fuzzy45
  • unresolved47
  • parse uncertain1
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 8a5c8931-3a7a-4c39-80c3-afbf63d70435 · outbound

This paper cites Cve- fixes: automated collection of vulnerabilities and their fixes from open-source software.

Exploring the Security Threats of Knowledge Base Poisoning in Retrieval-Augmented Code Generation Cve- fixes: automated collection of vulnerabilities and their fixes from open-source software

Reference 1

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T05:31:14.076817Z digest=sha256:046f639c59830c19672ad0104d0459e4d04e7e31276f3170b830fa8cfcd1d712

Observation f56c5f76-dea9-4b12-92b6-05cc1cfd4078 · outbound

This paper cites Ebk-means: A clustering technique based on elbow method and k- means in wsn.

Exploring the Security Threats of Knowledge Base Poisoning in Retrieval-Augmented Code Generation Ebk-means: A clustering technique based on elbow method and k- means in wsn

Reference 2

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no resolver link, observed 2026-08-09T05:31:14.080869Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T05:31:14.080869Z digest=sha256:a472e0ebbb556d8d73fd5c931afac8c82ae1991e4dcabe13ff72b3eeda597d48

Observation 572e6709-8a9e-4d4e-8e31-bc605dfea3e9 · outbound

This paper cites Poisoning Attacks against Support Vector Machines.

Exploring the Security Threats of Knowledge Base Poisoning in Retrieval-Augmented Code Generation Poisoning Attacks against Support Vector Machines

Reference 3

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T05:31:14.084268Z digest=sha256:612a9b50bba532d8cfeb0940f8557359f5b8e7f6b87a82e2d411b7056914b64b

Observation f86b81ed-d033-4eda-a675-0c8127ce9448 · outbound

This paper cites Wild patterns: Ten years after the rise of adversarial machine learning.

Exploring the Security Threats of Knowledge Base Poisoning in Retrieval-Augmented Code Generation Wild patterns: Ten years after the rise of adversarial machine learning

Reference 4

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T05:31:14.087726Z digest=sha256:973a7451d690b80021b5c2bdc36aae9aad39fbbab8fb13487fecc902e91ba9f4

Observation 46a7b8ac-e35a-404b-8028-fec313d6ac46 · outbound

This paper cites A software assurance reference dataset: Thousands of programs with known bugs.

Exploring the Security Threats of Knowledge Base Poisoning in Retrieval-Augmented Code Generation A software assurance reference dataset: Thousands of programs with known bugs

Reference 5

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T05:31:14.090826Z digest=sha256:76feafc64fb433f6168be360aea872327f9fda09c20f76dd80ebcb4b2371f965

Observation 9193d4f2-003a-4d6c-a141-f9c9e8ea70f9 · outbound

This paper cites Juliet 1.

Exploring the Security Threats of Knowledge Base Poisoning in Retrieval-Augmented Code Generation Juliet 1

Reference 6

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T05:31:14.093934Z digest=sha256:d561f382f0b7209d0ee5be6feba7fa078070c25c25486a1d1d4183255ca60357

Observation aa790850-1fba-4b0e-adbe-0d7f3922c588 · outbound

This paper cites Language models are few-shot learn- ers.

Exploring the Security Threats of Knowledge Base Poisoning in Retrieval-Augmented Code Generation Language models are few-shot learn- ers

Reference 7

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T05:31:14.097395Z digest=sha256:69620a7f94a24fc3ec978f1587a5e71949a086c87258af9c3e753c5f231ec16d

Observation 0bd2a6d3-6a0a-4b17-b77d-75e834139bf6 · outbound

This paper cites Poisoning web-scale training datasets is practi- cal.

Exploring the Security Threats of Knowledge Base Poisoning in Retrieval-Augmented Code Generation Poisoning web-scale training datasets is practi- cal

Reference 8

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source=pdf_text observed=2026-08-09T05:31:14.100289Z digest=sha256:a8847389988e0eec2b3cb708aac1e01aa19995a17ca1d549240e82fcc0755aec

Observation c5a67af0-fdf5-48e1-88f4-2fe06020c349 · outbound

This paper cites Deep learning based vulnerability detection: Are we there yet? IEEE Transactions on Software Engineering, 48(9):3280–3296, 2021.

Exploring the Security Threats of Knowledge Base Poisoning in Retrieval-Augmented Code Generation Deep learning based vulnerability detection: Are we there yet? IEEE Transactions on Software Engineering, 48(9):3280–3296, 2021

Reference 9

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source=pdf_text observed=2026-08-09T05:31:14.103130Z digest=sha256:2379ea05e0aa7ad552b03574abe80e8c8e5710c012dcf8d492bd064e93ddff44

Observation c3637ba0-5cc8-4108-85f5-95ad22e5aaa3 · outbound

This paper cites A survey on evaluation of large language models.

Exploring the Security Threats of Knowledge Base Poisoning in Retrieval-Augmented Code Generation A survey on evaluation of large language models

Reference 10

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source=pdf_text observed=2026-08-09T05:31:14.106065Z digest=sha256:f2f050aceab20abbe264f7faac1b75e393cf6768ce36e869d81b2825d1919a90

Observation d76f0534-80c1-4142-bedf-6363d55363ba · outbound

This paper cites Rmcbench: Benchmarking large lan- guage models’ resistance to malicious code.

Exploring the Security Threats of Knowledge Base Poisoning in Retrieval-Augmented Code Generation Rmcbench: Benchmarking large lan- guage models’ resistance to malicious code

Reference 11

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T05:31:14.109192Z digest=sha256:29ccb050a2132e817c9f41512ddb25583be61ba05a8f5f1817780472af8de315

Observation 9635075b-501a-4d85-8797-6d9d34b4a86a · outbound

This paper cites Diversevul: A new vulnerable source code dataset for deep learning based vulnerability detection.

Exploring the Security Threats of Knowledge Base Poisoning in Retrieval-Augmented Code Generation Diversevul: A new vulnerable source code dataset for deep learning based vulnerability detection

Reference 12

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source=pdf_text observed=2026-08-09T05:31:14.112481Z digest=sha256:891f8c168a1bdaf94fe6a4aef52cdf396267d0b9cd0cf5b8570c9461bef3ee4a

Observation 0d052c1d-7abb-4e0b-b111-85b1116e8149 · outbound

This paper cites Lift yourself up: Retrieval- augmented text generation with self-memory.

Exploring the Security Threats of Knowledge Base Poisoning in Retrieval-Augmented Code Generation Lift yourself up: Retrieval- augmented text generation with self-memory

Reference 13

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T05:31:14.143703Z digest=sha256:7455d072d34b30ee82fecb2c4cbe1c5f3c8b6b6080c974b3aee2544c9c5de649

Observation 3e3523a3-525b-41dc-9c53-26bd22af5511 · outbound

This paper cites Introduction to the k-means cluster- ing algorithm based on the elbow method.

Exploring the Security Threats of Knowledge Base Poisoning in Retrieval-Augmented Code Generation Introduction to the k-means cluster- ing algorithm based on the elbow method

Reference 14

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T05:31:14.174338Z digest=sha256:249335ddc8f3179174b3cc4032014434e4bd269db3bbcaff68aff25c72bd40f3

Observation 318f9327-61b0-4de9-9b84-800823b4be22 · outbound

This paper cites Deepseek v2.5, 2024.

Exploring the Security Threats of Knowledge Base Poisoning in Retrieval-Augmented Code Generation Deepseek v2.5, 2024

Reference 15

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verified fuzzy
raw_fallback, observed 2026-08-09T05:31:15.614912Z

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=2026-08-09T05:31:14.203202Z digest=sha256:3af4864caf708710a25c8cf63f4446bb3933a8598aa2384ab6ca110475db8456

Observation 5818ba7b-47f8-4c00-a23f-18afa4e241cc · outbound

This paper cites Masterkey: Automated jailbreaking of large language model chatbots.

Exploring the Security Threats of Knowledge Base Poisoning in Retrieval-Augmented Code Generation Masterkey: Automated jailbreaking of large language model chatbots

Reference 16

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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=2026-08-09T05:31:14.231781Z digest=sha256:446a0b7ed7f4d463a8d35ba0f07e86efb1aaf3f1630a6378e2f8decdf658978c

Observation cf22527d-4c52-494f-8759-111d61797a63 · outbound

This paper cites Vul-RAG: Enhancing LLM-based Vulnerability Detection via Knowledge-level RAG.

Exploring the Security Threats of Knowledge Base Poisoning in Retrieval-Augmented Code Generation Vul-RAG: Enhancing LLM-based Vulnerability Detection via Knowledge-level RAG

Reference 17

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source=pdf_text observed=2026-08-09T05:31:14.258075Z digest=sha256:c2c14d025f5cbddb5f582df854cec66c09360d72fa43e899ac9c8769629c1102

Observation 6d1fc9ca-9ba4-4df5-84bc-aa6e711f40f1 · outbound

This paper cites The Llama 3 Herd of Models.

Exploring the Security Threats of Knowledge Base Poisoning in Retrieval-Augmented Code Generation The Llama 3 Herd of Models

Reference 18

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source=pdf_text observed=2026-08-09T05:31:14.281837Z digest=sha256:e8ecf3ed2d130bcadfd6c9afcfb3fd195753fd534d7deb62cd3a4e852c4559ed

Observation 87ee7b37-8494-48cd-b870-cb7d4be5639c · outbound

This paper cites Empirical review of automated analysis tools on 47,587 ethereum smart contracts.

Exploring the Security Threats of Knowledge Base Poisoning in Retrieval-Augmented Code Generation Empirical review of automated analysis tools on 47,587 ethereum smart contracts

Reference 19

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raw_fallback, observed 2026-08-09T05:31:15.595184Z

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=2026-08-09T05:31:14.284758Z digest=sha256:0307dbed7e12cbb61cd6777b7f7707f9dc319d5fe688af770ff424b424872734

Observation 0dbc2bab-3a7a-41e3-8ff1-3d9fb970ee43 · outbound

This paper cites Crystalbleu: pre- cisely and efficiently measuring the similarity of code.

Exploring the Security Threats of Knowledge Base Poisoning in Retrieval-Augmented Code Generation Crystalbleu: pre- cisely and efficiently measuring the similarity of code

Reference 20

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raw_fallback, observed 2026-08-09T05:31:15.584936Z

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=2026-08-09T05:31:14.287277Z digest=sha256:847566e86bc37439c008081b4b6d960b22145b622220b9ee5c1b9595c0fb1adf

Observation 73dcae44-0b39-4243-8f9b-a1aedb9c067e · outbound

This paper cites Ac/c++ code vulnerability dataset with code changes and cve summaries.

Exploring the Security Threats of Knowledge Base Poisoning in Retrieval-Augmented Code Generation Ac/c++ code vulnerability dataset with code changes and cve summaries

Reference 21

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verified fuzzy
raw_fallback, observed 2026-08-09T05:31:15.574785Z

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=2026-08-09T05:31:14.289612Z digest=sha256:258210d7e623863e3ab4a216b238b568bcac4c3dba7b4b9ba48b42ee5d997832

Observation 04bef7a0-788f-4041-997e-79e4416d2cf1 · outbound

This paper cites go-ethereum: Official go implementation of the ethereum protocol.

Exploring the Security Threats of Knowledge Base Poisoning in Retrieval-Augmented Code Generation go-ethereum: Official go implementation of the ethereum protocol

Reference 22

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raw_fallback, observed 2026-08-09T05:31:15.564982Z

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=2026-08-09T05:31:14.292285Z digest=sha256:83d6258366adfb7158486ff9dd7249a15b6d0896cffee2d74434427e2f70b6aa

Observation bf0be8ce-ab40-4492-a0a4-9ec047a2fc37 · outbound

This paper cites Preference- guided refactored tuning for retrieval augmented code generation.

Exploring the Security Threats of Knowledge Base Poisoning in Retrieval-Augmented Code Generation Preference- guided refactored tuning for retrieval augmented code generation

Reference 23

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raw_fallback, observed 2026-08-09T05:31:15.554808Z

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=2026-08-09T05:31:14.295081Z digest=sha256:7a8a8abc225d32ca12e173a517b5640bee5422cd326686530f5f111d8d87490c

Observation d00c1b8f-a832-4e92-adaa-9e60f8a64ac0 · outbound

This paper cites Retrieval-Augmented Generation for Large Language Models: A Survey.

Exploring the Security Threats of Knowledge Base Poisoning in Retrieval-Augmented Code Generation Retrieval-Augmented Generation for Large Language Models: A Survey

Reference 24

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-09T05:31:14.297747Z digest=sha256:365cd014ca51ee1d6926a45af98aefcd9cf851f1c97864f9530e55a999486497

Observation 8a6f2ec3-b357-4d6a-800d-bafa75b44319 · outbound

This paper cites Large language models are few-shot summarizers: Multi-intent comment generation via in-context learn- ing.

Exploring the Security Threats of Knowledge Base Poisoning in Retrieval-Augmented Code Generation Large language models are few-shot summarizers: Multi-intent comment generation via in-context learn- ing

Reference 25

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raw_fallback, observed 2026-08-09T05:31:15.544753Z

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=2026-08-09T05:31:14.301322Z digest=sha256:d4c15605958c7a80d2c9a24196d41964979ad4cc6eefcc0d587b41ab1e152504

Observation c09ba08f-c839-4b51-828d-a920868ef2b9 · outbound

This paper cites How effec- tive are smart contract analysis tools? evaluating smart contract static analysis tools using bug injection.

Exploring the Security Threats of Knowledge Base Poisoning in Retrieval-Augmented Code Generation How effec- tive are smart contract analysis tools? evaluating smart contract static analysis tools using bug injection

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T05:31:15.534977Z

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=2026-08-09T05:31:14.303760Z digest=sha256:813253aca794454d2d1ab0519d016d4192667b10b0052ebc55933a5f6d557125

Observation ef48842e-c159-4ce3-8db6-f5abf4d1531e · outbound

This paper cites Re2G: Retrieve, Rerank, Generate.

Exploring the Security Threats of Knowledge Base Poisoning in Retrieval-Augmented Code Generation Re2G: Retrieve, Rerank, Generate

Reference 27

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no resolver link, observed 2026-08-09T05:31:14.308047Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T05:31:14.308047Z digest=sha256:652d4f827c2fb301daa836314647f78532e2ef44a2ebb2a196a6fca377291973

Observation 50b26c0e-edf8-4f6f-aab4-72e2cdac15a4 · outbound

This paper cites An Empirical Study of LLM-as-a-Judge for LLM Evaluation: Fine-tuned Judge Model is not a General Substitute for GPT-4.

Exploring the Security Threats of Knowledge Base Poisoning in Retrieval-Augmented Code Generation An Empirical Study of LLM-as-a-Judge for LLM Evaluation: Fine-tuned Judge Model is not a General Substitute for GPT-4

Reference 28

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no resolver link, observed 2026-08-09T05:31:14.311143Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T05:31:14.311143Z digest=sha256:f701a009809770e15c9e7338077c42f5466434e7bd000e8b3cb62ed8a670a06a

Observation 87149c85-5917-4938-8692-7ca34d6f2f51 · outbound

This paper cites CodeSearchNet Challenge: Evaluating the State of Semantic Code Search.

Exploring the Security Threats of Knowledge Base Poisoning in Retrieval-Augmented Code Generation CodeSearchNet Challenge: Evaluating the State of Semantic Code Search

Reference 29

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T05:31:14.314196Z digest=sha256:53cb9a7f38dfacf169f7bad274f714311b778fd538139c4e78e43f248a62b894

Observation 7990fd88-c2f4-41f7-9582-6f90528a7860 · outbound

This paper cites Jigsaw: Large language models meet program synthesis.

Exploring the Security Threats of Knowledge Base Poisoning in Retrieval-Augmented Code Generation Jigsaw: Large language models meet program synthesis

Reference 30

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raw_fallback, observed 2026-08-09T05:31:15.525502Z

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=2026-08-09T05:31:14.317076Z digest=sha256:c0c487c2b389dd2381a5cdbabaa1b8adf23b05a1d65031b40e1a81b2284ff5ab

Observation ea199fd6-8768-4bd2-ab9b-53277735b41d · outbound

This paper cites How secure is code generated by chatgpt? In 2023 IEEE International Conference on Systems, Man, and Cybernetics (SMC), pages 2445–.

Exploring the Security Threats of Knowledge Base Poisoning in Retrieval-Augmented Code Generation How secure is code generated by chatgpt? In 2023 IEEE International Conference on Systems, Man, and Cybernetics (SMC), pages 2445–

Reference 31

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raw_fallback, observed 2026-08-09T05:31:15.515520Z

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=2026-08-09T05:31:14.319740Z digest=sha256:308151d16cf9e5fab6a1b5179f0c41cd88031a71898b19ed2bae6a35be9793b1

Observation 9221ebdc-5798-468f-86d8-86ccb87f7408 · outbound

This paper cites Using ai assistants in software development: A qualitative study on security practices and concerns.

Exploring the Security Threats of Knowledge Base Poisoning in Retrieval-Augmented Code Generation Using ai assistants in software development: A qualitative study on security practices and concerns

Reference 32

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raw_fallback, observed 2026-08-09T05:31:15.505770Z

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=2026-08-09T05:31:14.322515Z digest=sha256:0a8b86cb053cde5053aa67283e64efe1e7b0395b09347960e37df1c9dc934ce3

Observation 34cecc57-b2a0-49b9-9b31-80218f7f3585 · outbound

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

Exploring the Security Threats of Knowledge Base Poisoning in Retrieval-Augmented Code Generation Multi-step Jailbreaking Privacy Attacks on ChatGPT

Reference 33

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T05:31:14.325060Z digest=sha256:8587dc87bcf300f5e1d4652406ee4f8f6e921ac4e31df102f73203e5ea2dfdbc

Observation 85b3757c-ab9d-4bf0-b494-650ccfa4b14b · outbound

This paper cites From Classification to Generation: Insights into Crosslingual Retrieval Augmented ICL.

Exploring the Security Threats of Knowledge Base Poisoning in Retrieval-Augmented Code Generation From Classification to Generation: Insights into Crosslingual Retrieval Augmented ICL

Reference 34

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no resolver link, observed 2026-08-09T05:31:14.327954Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T05:31:14.327954Z digest=sha256:5c72bafdfef6a594db008abebe722576e2a7f2c885d247ba687240327314900e

Observation 472c3ec5-71c2-492d-a5e0-9b73535e852a · outbound

This paper cites Opportunities and challenges in code search tools.

Exploring the Security Threats of Knowledge Base Poisoning in Retrieval-Augmented Code Generation Opportunities and challenges in code search tools

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T05:31:15.496844Z

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=2026-08-09T05:31:14.331102Z digest=sha256:ff691e5e05c0045da52d10962062c12cbf8dd18ed93bc8bda312565a1bc85aa2

Observation c322feef-12b3-4933-9860-313551eadafb · outbound

This paper cites Determine the number of unknown targets in open world based on elbow method.

Exploring the Security Threats of Knowledge Base Poisoning in Retrieval-Augmented Code Generation Determine the number of unknown targets in open world based on elbow method

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T05:31:15.488015Z

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=2026-08-09T05:31:14.334050Z digest=sha256:bec3bf94eb484e629575b3bd50ea5b1eb676c92c8a13deeb401b93379925f087

Observation 79447ec1-a88b-4de7-b464-3d13bfb0e75f · outbound

This paper cites Trojan- ing attack on neural networks.

Exploring the Security Threats of Knowledge Base Poisoning in Retrieval-Augmented Code Generation Trojan- ing attack on neural networks

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T05:31:15.478820Z

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=2026-08-09T05:31:14.336890Z digest=sha256:78f201829900a0b2a6a22bd914c23fd326e86d4c05a6a8d71d164b543e9939cf

Observation 785e13b9-c9b6-410a-94df-8ee582805114 · outbound

This paper cites An empirical study on low code program- ming using traditional vs large language model support.

Exploring the Security Threats of Knowledge Base Poisoning in Retrieval-Augmented Code Generation An empirical study on low code program- ming using traditional vs large language model support

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-09T05:31:14.339853Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T05:31:14.339853Z digest=sha256:ab1568b545372047bf59a4de5095fe52b7232ff1a016490c0468982cdbf4eeb4

Observation 26a89b38-c73d-4892-9e1b-6b02090a2744 · outbound

This paper cites Prompt injection attacks and defenses in llm-integrated applications.

Exploring the Security Threats of Knowledge Base Poisoning in Retrieval-Augmented Code Generation Prompt injection attacks and defenses in llm-integrated applications

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-09T05:31:14.342739Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T05:31:14.342739Z digest=sha256:bebd80de8cc63ce3c0079009036118ffe371dc8a8be041616ff62a8bfe4828a0

Observation d2c2b098-9ab9-4a15-8008-20b03de85af3 · outbound

This paper cites Formalizing and benchmarking prompt injection attacks and defenses.

Exploring the Security Threats of Knowledge Base Poisoning in Retrieval-Augmented Code Generation Formalizing and benchmarking prompt injection attacks and defenses

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-09T05:31:14.345670Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T05:31:14.345670Z digest=sha256:d10056a94aedfaecdf09d555e65704918fdb146af41c799f6775765ac1eb156e

Observation 6010d1e0-cd88-4be9-9686-40b6dbd68019 · outbound

This paper cites Query Rewriting for Retrieval-Augmented Large Language Models.

Exploring the Security Threats of Knowledge Base Poisoning in Retrieval-Augmented Code Generation Query Rewriting for Retrieval-Augmented Large Language Models

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-09T05:31:14.348552Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T05:31:14.348552Z digest=sha256:642e41b7a980eaca152a683c4670b0df8a4999d9930490b3aa5d70acbb954377

Observation e4073e9f-87ca-41ac-b5bd-c6859cee5e94 · outbound

This paper cites Some methods for classifica- tion and analysis of multivariate observations.

Exploring the Security Threats of Knowledge Base Poisoning in Retrieval-Augmented Code Generation Some methods for classifica- tion and analysis of multivariate observations

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T05:31:15.396951Z

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=2026-08-09T05:31:14.351605Z digest=sha256:69b7864502e47bb0071902bb2d2611e42233585f5f3ed5e01e3b9fe45cf02160

Observation 17ea9e7b-10a2-4240-8899-642fda229c1d · outbound

This paper cites Github language statistics (githut), 2024.

Exploring the Security Threats of Knowledge Base Poisoning in Retrieval-Augmented Code Generation Github language statistics (githut), 2024

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T05:31:15.388388Z

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=2026-08-09T05:31:14.354852Z digest=sha256:5ec3b53217d9e92891edbd7689e9f854ed5ecf5f6c08f66eeebcf9c1982ee0e7

Observation 3329b921-8011-4c75-84e7-dcd217c0ef18 · outbound

This paper cites Kragen: a knowledge graph- enhanced rag framework for biomedical problem solv- ing using large language models.

Exploring the Security Threats of Knowledge Base Poisoning in Retrieval-Augmented Code Generation Kragen: a knowledge graph- enhanced rag framework for biomedical problem solv- ing using large language models

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T05:31:15.379831Z

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=2026-08-09T05:31:14.357696Z digest=sha256:e764ec9848d3bfe85789d8491d0caa063d018ec50597a63da04e2cff4158f11f

Observation 4c624862-fffd-426a-bf85-41e86bfbe71a · outbound

This paper cites Retrieval-augmented generation (rag) in azure machine learning, 2024.

Exploring the Security Threats of Knowledge Base Poisoning in Retrieval-Augmented Code Generation Retrieval-augmented generation (rag) in azure machine learning, 2024

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T05:31:15.370835Z

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=2026-08-09T05:31:14.360620Z digest=sha256:377e06d8a65a81a14930afe83d92e6f3d8fdd0c69d9d5beb4873d1983020a79e

Observation 0f061504-a455-419f-8b07-236bc8d5d979 · outbound

This paper cites 2024 cwe top 25 most danger- ous software weaknesses.

Exploring the Security Threats of Knowledge Base Poisoning in Retrieval-Augmented Code Generation 2024 cwe top 25 most danger- ous software weaknesses

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T05:31:15.361971Z

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=2026-08-09T05:31:14.363379Z digest=sha256:2b4f3d758892f67c642d74221f042fe2d0eb7ad5495df340b9daf31da1f7db6e

Observation a93594f8-a918-4d91-8597-43ca93d6a374 · outbound

This paper cites National vulnerability database (nvd).

Exploring the Security Threats of Knowledge Base Poisoning in Retrieval-Augmented Code Generation National vulnerability database (nvd)

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T05:31:15.353096Z

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=2026-08-09T05:31:14.365522Z digest=sha256:3a71de7c36507fee961f46800c55e99f2bfe73d5f23ff9fd21e6ca78f79e1bcc

Observation 9e7b0c12-389f-45c6-9ffc-70cb12c63ffc · outbound

This paper cites Ollama framework.

Exploring the Security Threats of Knowledge Base Poisoning in Retrieval-Augmented Code Generation Ollama framework

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T05:31:15.344042Z

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=2026-08-09T05:31:14.367721Z digest=sha256:b5bbc16458e072439600390a1b7b7906a060d738d57690b2879f7d7a245df9f3

Observation 493add71-5a03-472b-a026-6df114b46015 · outbound

This paper cites an unresolved cited work.

Exploring the Security Threats of Knowledge Base Poisoning in Retrieval-Augmented Code Generation Unresolved cited work

Reference 49

Resolution
unresolved
raw_fallback, observed 2026-08-09T05:31:15.325715Z

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=2026-08-09T05:31:14.372405Z digest=sha256:be1352f02d0624127d2f8c2114e296d4eae995992ad78c616867702f777a7cdc

Observation c8c73232-6846-4d72-8fc6-8c4320883b41 · outbound

This paper cites Chatgpt retrieval plugin, 2024.

Exploring the Security Threats of Knowledge Base Poisoning in Retrieval-Augmented Code Generation Chatgpt retrieval plugin, 2024

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T05:31:15.317124Z

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=2026-08-09T05:31:14.374995Z digest=sha256:e4af10c9e5e26bd246249feeb493c5d32eff97a14e178b3a85a46cf3bf01f48c

Observation 29ec4d5f-6974-4f50-b718-98cba552214f · outbound

This paper cites Openai api reference - chat create n, 2024.

Exploring the Security Threats of Knowledge Base Poisoning in Retrieval-Augmented Code Generation Openai api reference - chat create n, 2024

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T05:31:15.309376Z

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=2026-08-09T05:31:14.377220Z digest=sha256:5cd947e9e631c698c6d6492317adf151f7c5c8c3d86e5dfd43f185f4f7471898

Observation 47ee2637-43fe-4265-97fc-bfde00c7c901 · outbound

This paper cites Openai models - embeddings.

Exploring the Security Threats of Knowledge Base Poisoning in Retrieval-Augmented Code Generation Openai models - embeddings

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T05:31:15.301397Z

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=2026-08-09T05:31:14.379420Z digest=sha256:5c6854d8be0c6fb638e7f08600829b2c5dc02d0b15ff8a7300ddeb93570f7fdf

Observation f4ac952b-1871-438a-bbae-35bb62379239 · outbound

This paper cites An empirical study of the non-determinism of chatgpt in code generation.

Exploring the Security Threats of Knowledge Base Poisoning in Retrieval-Augmented Code Generation An empirical study of the non-determinism of chatgpt in code generation

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T05:31:15.291023Z

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=2026-08-09T05:31:14.381680Z digest=sha256:72d998684a40abcad86271f07a90109556f5c6abe99efae7f3585d475e50f65d

Observation bc9b8cb1-ac1e-4c4b-8901-c2cff9c43bd2 · outbound

This paper cites Bleu: a method for automatic evaluation of machine translation.

Exploring the Security Threats of Knowledge Base Poisoning in Retrieval-Augmented Code Generation Bleu: a method for automatic evaluation of machine translation

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T05:31:15.281937Z

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=2026-08-09T05:31:14.383906Z digest=sha256:23d80c46558a98c846bd7e40f7cef3ffefa42fa37a5349f7e1bca0db4bb0cf71

Observation 0ce11cbd-043c-4c14-b3be-9565dd941c97 · outbound

This paper cites Retrieval Augmented Code Generation and Summarization.

Exploring the Security Threats of Knowledge Base Poisoning in Retrieval-Augmented Code Generation Retrieval Augmented Code Generation and Summarization

Reference 55

Resolution
unresolved
no resolver link, observed 2026-08-09T05:31:14.386109Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T05:31:14.386109Z digest=sha256:119ef805ebbff9798aca2553e956613f52359ea5076776499d8a4acf9292fc3e

Observation 9a604282-7b09-499f-9215-7696c1b2ef2e · outbound

This paper cites Asleep at the key- board? assessing the security of github copilot’s code contributions.

Exploring the Security Threats of Knowledge Base Poisoning in Retrieval-Augmented Code Generation Asleep at the key- board? assessing the security of github copilot’s code contributions

Reference 56

Resolution
unresolved
no resolver link, observed 2026-08-09T05:31:14.389117Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T05:31:14.389117Z digest=sha256:88d4cf59f6a00669ce5b7059b3f946e199e5aa6818917b46dd100ccd30a552b1

Observation fe7a225a-925c-4d86-8982-11637f9bb703 · outbound

This paper cites From Prompt Injections to SQL Injection Attacks: How Protected is Your LLM-Integrated Web Application?.

Exploring the Security Threats of Knowledge Base Poisoning in Retrieval-Augmented Code Generation From Prompt Injections to SQL Injection Attacks: How Protected is Your LLM-Integrated Web Application?

Reference 57

Resolution
unresolved
no resolver link, observed 2026-08-09T05:31:14.391838Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T05:31:14.391838Z digest=sha256:b7c7bafe0b26d98c98ee580e786e98cae01f49a02c4f89c9a83ddbd0abe009a6

Observation db590acc-f71f-4771-bbb3-f84e3b9b420f · outbound

This paper cites Ignore Previous Prompt: Attack Techniques For Language Models.

Exploring the Security Threats of Knowledge Base Poisoning in Retrieval-Augmented Code Generation Ignore Previous Prompt: Attack Techniques For Language Models

Reference 58

Resolution
unresolved
no resolver link, observed 2026-08-09T05:31:14.395144Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T05:31:14.395144Z digest=sha256:a3b6878f3ab43996946b18a3ca403332bcfe1ec7e6163b57a61673ad4bcea89e

Observation 723a04cf-9b4f-421d-b579-8be169b13c22 · outbound

This paper cites Evaluating and optimiz- ing the effectiveness of neural machine translation in supporting code retrieval models: A study on the cat benchmark.

Exploring the Security Threats of Knowledge Base Poisoning in Retrieval-Augmented Code Generation Evaluating and optimiz- ing the effectiveness of neural machine translation in supporting code retrieval models: A study on the cat benchmark

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T05:31:15.267359Z

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=2026-08-09T05:31:14.398219Z digest=sha256:28580907a6a33e28095dbcfb4d3ad13e9c295a9fc00d93a1e2224a12b7043937

Observation 0bcd7c2d-9c83-4eec-aa24-1f3edf7340a0 · outbound

This paper cites Visual adversarial examples jailbreak aligned large language models.

Exploring the Security Threats of Knowledge Base Poisoning in Retrieval-Augmented Code Generation Visual adversarial examples jailbreak aligned large language models

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T05:31:15.257681Z

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=2026-08-09T05:31:14.400986Z digest=sha256:0b5280fc32434ed3a5940950d1b0f992a9742aa53efa97b0052ce76432a9d289

Observation be3346d9-afbf-43e8-8cd5-690fd9314ee0 · outbound

This paper cites RAG-Fusion: a New Take on Retrieval-Augmented Generation.

Exploring the Security Threats of Knowledge Base Poisoning in Retrieval-Augmented Code Generation RAG-Fusion: a New Take on Retrieval-Augmented Generation

Reference 61

Resolution
unresolved
no resolver link, observed 2026-08-09T05:31:14.403819Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T05:31:14.403819Z digest=sha256:a0e190555f24ce8f9bc3137f68085b50bfd5b500b962ec5c081a8384b51bc547

Observation 498eee64-601b-4e72-b35b-6fb9615faea0 · outbound

This paper cites The proba- bilistic relevance framework: Bm25 and beyond.

Exploring the Security Threats of Knowledge Base Poisoning in Retrieval-Augmented Code Generation The proba- bilistic relevance framework: Bm25 and beyond

Reference 62

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T05:31:15.247794Z

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=2026-08-09T05:31:14.406821Z digest=sha256:69797be97894e7e808b60b1a441414c6363672ddb3944f06c284cd9f7701fd7c

Observation 0330af6d-7690-4bc2-a08c-eadd27de4d5d · outbound

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

Exploring the Security Threats of Knowledge Base Poisoning in Retrieval-Augmented Code Generation Code Llama: Open Foundation Models for Code

Reference 63

Resolution
unresolved
no resolver link, observed 2026-08-09T05:31:14.409565Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T05:31:14.409565Z digest=sha256:90d308833242e5b6a1ed8b443b270512c074d9ab9d12f7910279840d56a48527

Observation 5c1513ad-68f9-489e-99f9-6849d0882f77 · outbound

This paper cites Llm safety leaderboard.

Exploring the Security Threats of Knowledge Base Poisoning in Retrieval-Augmented Code Generation Llm safety leaderboard

Reference 64

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T05:31:15.238480Z

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=2026-08-09T05:31:14.412728Z digest=sha256:748aafdcc97e8ca2c7d4acc784dcb4d3ef0985934b5089a953e1959a506713d9

Observation 23a00563-5d49-4369-9096-c4df7a24cdee · outbound

This paper cites Poison frogs! targeted clean-label poisoning at- tacks on neural networks.

Exploring the Security Threats of Knowledge Base Poisoning in Retrieval-Augmented Code Generation Poison frogs! targeted clean-label poisoning at- tacks on neural networks

Reference 65

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T05:31:15.229201Z

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=2026-08-09T05:31:14.415696Z digest=sha256:f6c62fbe0964a30f26b17d2502b55d181f71f9f50e345789881db371572146c6

Observation 3f1dc42a-2dc0-41bd-8063-4f1b9afc6b00 · outbound

This paper cites A systematic literature review on automated soft- ware vulnerability detection using machine learning.

Exploring the Security Threats of Knowledge Base Poisoning in Retrieval-Augmented Code Generation A systematic literature review on automated soft- ware vulnerability detection using machine learning

Reference 66

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T05:31:15.219797Z

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=2026-08-09T05:31:14.418652Z digest=sha256:8e949426abafda239a22ee62ace618b4e37c2ebea1a857092563613cc11d1148

Observation fc3f7478-4d4d-4560-b9c2-22efd0574bc7 · outbound

This paper cites A comprehensive survey of few-shot learning: Evolution, applications, challenges, and opportunities.

Exploring the Security Threats of Knowledge Base Poisoning in Retrieval-Augmented Code Generation A comprehensive survey of few-shot learning: Evolution, applications, challenges, and opportunities

Reference 67

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T05:31:15.210342Z

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=2026-08-09T05:31:14.421449Z digest=sha256:37ff0e5827d58f3484284e3e88cccb3200f399056781362757c428e2c8e9c138

Observation bf83f4b2-0c68-471e-b279-2cc316fdc4f0 · outbound

This paper cites A statistical interpretation of term specificity and its application in retrieval.

Exploring the Security Threats of Knowledge Base Poisoning in Retrieval-Augmented Code Generation A statistical interpretation of term specificity and its application in retrieval

Reference 68

Resolution
unresolved
no resolver link, observed 2026-08-09T05:31:14.424255Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T05:31:14.424255Z digest=sha256:2b237bc93a21a4fb6c951022d522e77bc50608d2001bcd13f185f330b3432286

Observation 6d1bde8f-6ddb-4e2c-943c-b30b49b0f93f · outbound

This paper cites Efficient avoidance of vulnerabilities in auto-completed smart contract code using vulnerability-constrained decoding.

Exploring the Security Threats of Knowledge Base Poisoning in Retrieval-Augmented Code Generation Efficient avoidance of vulnerabilities in auto-completed smart contract code using vulnerability-constrained decoding

Reference 69

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T05:31:15.195784Z

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=2026-08-09T05:31:14.427203Z digest=sha256:2d2cad8f8a6b7510f6049524725c0462181b0a5d16d5b4c7d8c7859592755351

Observation d90a33e4-bd7e-4c06-bd66-08d5219433f8 · outbound

This paper cites jina-embeddings-v3: Multilingual Embeddings With Task LoRA.

Exploring the Security Threats of Knowledge Base Poisoning in Retrieval-Augmented Code Generation jina-embeddings-v3: Multilingual Embeddings With Task LoRA

Reference 70

Resolution
unresolved
no resolver link, observed 2026-08-09T05:31:14.430093Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T05:31:14.430093Z digest=sha256:4731fa67784107dced0629c12e2abb76b55549ce1175c9a9333543672e77f921

Observation be469489-057a-4210-97ac-489386682216 · outbound

This paper cites Evor: Evolv- ing retrieval for code generation.

Exploring the Security Threats of Knowledge Base Poisoning in Retrieval-Augmented Code Generation Evor: Evolv- ing retrieval for code generation

Reference 71

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verified fuzzy
raw_fallback, observed 2026-08-09T05:31:15.186450Z

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=2026-08-09T05:31:14.433308Z digest=sha256:86f5bd2d69103af0ba978d290d03505915fb340ec0c451ffc11fc5f1319e8e0f

Observation 885e859a-d3e8-4e7a-a9da-cedae0a1caad · outbound

This paper cites Integration k-means clustering method and elbow method for identification of the best customer profile cluster.

Exploring the Security Threats of Knowledge Base Poisoning in Retrieval-Augmented Code Generation Integration k-means clustering method and elbow method for identification of the best customer profile cluster

Reference 72

Resolution
unresolved
no resolver link, observed 2026-08-09T05:31:14.436192Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T05:31:14.436192Z digest=sha256:3a458bb2aefe7d5bce1c0fe585bf3a5336cb5e9d4f6b0336c54cca834cce4284

Observation f8484e56-139c-43fb-a880-faff90f4e80a · outbound

This paper cites Small models, big in- sights: Leveraging slim proxy models to decide when and what to retrieve for LLMs.

Exploring the Security Threats of Knowledge Base Poisoning in Retrieval-Augmented Code Generation Small models, big in- sights: Leveraging slim proxy models to decide when and what to retrieve for LLMs

Reference 73

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T05:31:15.171774Z

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=2026-08-09T05:31:14.439072Z digest=sha256:1c6521230995e1a143935cc131df81da19e87577b8ef922e647b0ea76613ee6e

Observation 930c6bbc-5cf6-4cee-abb4-08fd79cf34ac · outbound

This paper cites How secure is ai-generated code: a large-scale comparison of large lan- guage models.

Exploring the Security Threats of Knowledge Base Poisoning in Retrieval-Augmented Code Generation How secure is ai-generated code: a large-scale comparison of large lan- guage models

Reference 74

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T05:31:15.163626Z

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=2026-08-09T05:31:14.442102Z digest=sha256:63d31f3e80ba3f6ff83483ef44edc7f8a57e80b9d6f792cfd2a8314ab31bd48a

Observation 70a24bd5-9676-4d0f-b5f9-be429b6adac2 · outbound

This paper cites Llama 2: Open Foundation and Fine-Tuned Chat Models.

Exploring the Security Threats of Knowledge Base Poisoning in Retrieval-Augmented Code Generation Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 75

Resolution
unresolved
no resolver link, observed 2026-08-09T05:31:14.444929Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T05:31:14.444929Z digest=sha256:159c7ca92b544190b81f3843110f920bc28359b63e676a6180d9f7ff433aaed6

Observation ec25b96a-2026-4c4c-94fb-69b31ff8f1c2 · outbound

This paper cites Query2doc: Query Expansion with Large Language Models.

Exploring the Security Threats of Knowledge Base Poisoning in Retrieval-Augmented Code Generation Query2doc: Query Expansion with Large Language Models

Reference 76

Resolution
unresolved
no resolver link, observed 2026-08-09T05:31:14.448254Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T05:31:14.448254Z digest=sha256:e49c78d3a9cbf4d5e5aa9a93907d4dc2e84bde41255c1e97851096c5050bf77d

Observation b61013d7-3d62-4261-9089-ca7cf565bd3d · outbound

This paper cites Fusing code searchers.

Exploring the Security Threats of Knowledge Base Poisoning in Retrieval-Augmented Code Generation Fusing code searchers

Reference 77

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T05:31:15.155661Z

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=2026-08-09T05:31:14.451341Z digest=sha256:23b585a656e4206ed83f89a94741bf9302fa5a1dead98fc63d3f36b2f6cb5de2

Observation 8119e3f5-740b-4f32-b7f6-91d3a269085f · outbound

This paper cites Benchmark Self-Evolving: A Multi-Agent Framework for Dynamic LLM Evaluation.

Exploring the Security Threats of Knowledge Base Poisoning in Retrieval-Augmented Code Generation Benchmark Self-Evolving: A Multi-Agent Framework for Dynamic LLM Evaluation

Reference 78

Resolution
unresolved
no resolver link, observed 2026-08-09T05:31:14.453979Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T05:31:14.453979Z digest=sha256:5ec630fe0330e4d54d575cbf6ceec7b6cf50c79058a26a5e5f06bb53be4f6935

Observation 1c20517a-11ad-4cfb-b032-13f66dbdf8ae · outbound

This paper cites Rap-gen: Retrieval-augmented patch generation with codet5 for automatic program repair.

Exploring the Security Threats of Knowledge Base Poisoning in Retrieval-Augmented Code Generation Rap-gen: Retrieval-augmented patch generation with codet5 for automatic program repair

Reference 79

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T05:31:15.146941Z

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=2026-08-09T05:31:14.456976Z digest=sha256:173c879e249795dc9b3531c92832b5aa980f4f8dcc85e31e99bd098c7ce2c327

Observation 5cd98cf1-dd73-4395-98c4-7f9fd98a4bb0 · outbound

This paper cites Reposvul: A repository- level high-quality vulnerability dataset.

Exploring the Security Threats of Knowledge Base Poisoning in Retrieval-Augmented Code Generation Reposvul: A repository- level high-quality vulnerability dataset

Reference 80

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T05:31:15.136965Z

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=2026-08-09T05:31:14.459282Z digest=sha256:01548f60fa4624405cb8627cf4a6ca14c4593c07574bd96ca7d907205d806b5b

Observation 1d2577cb-b5c5-42d0-8d6e-78509a406f3f · outbound

This paper cites Generalizing from a few examples: A survey on few-shot learning.

Exploring the Security Threats of Knowledge Base Poisoning in Retrieval-Augmented Code Generation Generalizing from a few examples: A survey on few-shot learning

Reference 81

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T05:31:15.127560Z

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=2026-08-09T05:31:14.461499Z digest=sha256:96e66e477b9b9d8d872e0e14a57f2419a252d80933b4e1b2392fa6b77b902644

Observation f0131cef-23d0-4768-9e84-e623394fef2c · outbound

This paper cites CodeRAG-Bench: Can Retrieval Augment Code Generation?.

Exploring the Security Threats of Knowledge Base Poisoning in Retrieval-Augmented Code Generation CodeRAG-Bench: Can Retrieval Augment Code Generation?

Reference 82

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unresolved
no resolver link, observed 2026-08-09T05:31:14.463830Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T05:31:14.463830Z digest=sha256:939124fbe287b574f54ef1f118806c004b7ccfa88c46cd19b9af292d027c5052

Observation 043ecc20-f318-42d6-8185-4b3289353644 · outbound

This paper cites MindMap: Knowledge Graph Prompting Sparks Graph of Thoughts in Large Language Models.

Exploring the Security Threats of Knowledge Base Poisoning in Retrieval-Augmented Code Generation MindMap: Knowledge Graph Prompting Sparks Graph of Thoughts in Large Language Models

Reference 83

Resolution
unresolved
no resolver link, observed 2026-08-09T05:31:14.466282Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T05:31:14.466282Z digest=sha256:28f9e56c99689a644102292505639aa63912be8a609f432e925564c6749e13da

Observation 8cae6402-28bd-426b-972e-bb31dcce8219 · outbound

This paper cites Syntax-aware retrieval augmented code genera- tion.

Exploring the Security Threats of Knowledge Base Poisoning in Retrieval-Augmented Code Generation Syntax-aware retrieval augmented code genera- tion

Reference 84

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T05:31:15.117145Z

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=2026-08-09T05:31:14.468774Z digest=sha256:1f770fc12c2ccd3f9bedefc97e3b14476ee6be6f4e0707d0bfcf602801279248

Observation e9f0dacf-bd42-4881-a893-88d8d080b5c1 · outbound

This paper cites HijackRAG: Hijacking Attacks against Retrieval-Augmented Large Language Models.

Exploring the Security Threats of Knowledge Base Poisoning in Retrieval-Augmented Code Generation HijackRAG: Hijacking Attacks against Retrieval-Augmented Large Language Models

Reference 85

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unresolved
no resolver link, observed 2026-08-09T05:31:14.470981Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T05:31:14.470981Z digest=sha256:9aad7e2382a5655c341e8ae15e77017956d82d5cc91a68617f909a457b8c7bd4

Observation 79ccd7e3-a509-4743-a059-952336027647 · outbound

This paper cites A Survey of Large Language Models.

Exploring the Security Threats of Knowledge Base Poisoning in Retrieval-Augmented Code Generation A Survey of Large Language Models

Reference 86

Resolution
unresolved
no resolver link, observed 2026-08-09T05:31:14.473952Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T05:31:14.473952Z digest=sha256:a1d4391520fb892936e9e3602f85c10590667772645b15731a6755b242de1ebd

Observation 1328a962-c853-4ab6-9ea8-1bf13cf18af0 · outbound

This paper cites Judging llm-as- a-judge with mt-bench and chatbot arena.

Exploring the Security Threats of Knowledge Base Poisoning in Retrieval-Augmented Code Generation Judging llm-as- a-judge with mt-bench and chatbot arena

Reference 87

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T05:31:15.106810Z

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=2026-08-09T05:31:14.477246Z digest=sha256:985e863248a144d2226a40fb595b22420abf8042fb2767893d94465559be14b9

Observation aa6cd754-5608-4d3c-b74f-0d0516527289 · outbound

This paper cites D2a: A dataset built for ai-based vulnerability detection methods using differential analy- sis.

Exploring the Security Threats of Knowledge Base Poisoning in Retrieval-Augmented Code Generation D2a: A dataset built for ai-based vulnerability detection methods using differential analy- sis

Reference 88

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T05:31:15.096020Z

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=2026-08-09T05:31:14.480028Z digest=sha256:8461fb1454c205000ae27a4dd994f200a7de451cb8498945954c47b8675960de

Observation f762212f-f699-4965-bb3f-0d8e5709b710 · outbound

This paper cites DeepSeek-Coder-V2: Breaking the Barrier of Closed-Source Models in Code Intelligence.

Exploring the Security Threats of Knowledge Base Poisoning in Retrieval-Augmented Code Generation DeepSeek-Coder-V2: Breaking the Barrier of Closed-Source Models in Code Intelligence

Reference 89

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unresolved
no resolver link, observed 2026-08-09T05:31:14.482737Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T05:31:14.482737Z digest=sha256:c2933672d4130bcba21e26ba531d277b8a3b0b3eb55fc8ff42cfbc6f1afffcda

Observation f2d03392-7a0b-48b2-82fc-e68db4c2370c · outbound

This paper cites Open-source Large Language Models are Strong Zero-shot Query Likelihood Models for Document Ranking.

Exploring the Security Threats of Knowledge Base Poisoning in Retrieval-Augmented Code Generation Open-source Large Language Models are Strong Zero-shot Query Likelihood Models for Document Ranking

Reference 90

Resolution
unresolved
no resolver link, observed 2026-08-09T05:31:14.485971Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T05:31:14.485971Z digest=sha256:d8e63ede332a8e891fe9290b6255bb6f79a895776115f91234519f257fd25574

Observation 752b7f4f-2b79-486b-a61c-6f89faedb5dc · outbound

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

Exploring the Security Threats of Knowledge Base Poisoning in Retrieval-Augmented Code Generation Universal and Transferable Adversarial Attacks on Aligned Language Models

Reference 91

Resolution
unresolved
no resolver link, observed 2026-08-09T05:31:14.489111Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T05:31:14.489111Z digest=sha256:ef375ff10d4f74e52211dbf69fc892e572fd41f669d976f6c83f06d1eb4e0ac7

Observation c9607b22-6116-4922-8fa9-84e07cc7e43e · outbound

This paper cites PoisonedRAG: Knowledge Corruption Attacks to Retrieval-Augmented Generation of Large Language Models.

Exploring the Security Threats of Knowledge Base Poisoning in Retrieval-Augmented Code Generation PoisonedRAG: Knowledge Corruption Attacks to Retrieval-Augmented Generation of Large Language Models

Reference 92

Resolution
unresolved
no resolver link, observed 2026-08-09T05:31:14.492097Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T05:31:14.492097Z digest=sha256:21440533047067594132b58d01f36a18ffb33c8584945c59e4a3ec50cf35bd29

Observation 14cc7580-7390-4400-95d2-65c4ff6e2cf5 · outbound

This paper cites an unresolved cited work.

Exploring the Security Threats of Knowledge Base Poisoning in Retrieval-Augmented Code Generation Unresolved cited work

Reference 2023

Resolution
parse uncertain
raw_fallback, observed 2026-08-09T05:31:15.334644Z

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=2026-08-09T05:31:14.370143Z digest=sha256:c2c5bd372996694db91bf8d6efad6a5c1870c380e79b6a2f26ca2b361270107a

Pith citing papers

Observation fa36ec16-c264-4558-8b0a-5cdb97feb1c3 · inbound

Across Programming Language Silos: A Study on Cross-Lingual Retrieval-augmented Code Generation cites this paper.

Across Programming Language Silos: A Study on Cross-Lingual Retrieval-augmented Code Generation Exploring the Security Threats of Knowledge Base Poisoning in Retrieval-Augmented Code Generation

Reference 61

Resolution
verified exact
arxiv_id, observed 2026-05-19T11:53:03.504685Z

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=2026-05-19T11:52:44.990234Z digest=sha256:24855aa70420fae125f0b64198ab8735a10ce9c4a17ded8615ba8bf7159fb317

Observation a420f63d-6137-4ebb-9608-8e16f2660082 · inbound

ImportSnare: Directed "Code Manual" Hijacking in Retrieval-Augmented Code Generation cites this paper.

ImportSnare: Directed "Code Manual" Hijacking in Retrieval-Augmented Code Generation Exploring the Security Threats of Knowledge Base Poisoning in Retrieval-Augmented Code Generation

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-04T21:33:58.248696Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T21:33:58.248696Z digest=sha256:99ab9dd98b008860b4700834e31d9768e16e28e8731aa618bea5c602968c71c9

Observation 084933cb-f039-41a9-8a4a-ffe555af56d6 · inbound

Fixed-Set Robustness in Programming by Example: Example Corruption and Semantic Partition Recovery cites this paper.

Fixed-Set Robustness in Programming by Example: Example Corruption and Semantic Partition Recovery Exploring the Security Threats of Knowledge Base Poisoning in Retrieval-Augmented Code Generation

Reference 21

Resolution
metadata mismatch
arxiv_id, observed 2026-07-03T21:48:59.053793Z

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=2026-07-03T21:42:30.668485Z digest=sha256:317948b01dc8cbf6968a42915aee747fde44a3a9e7899c37b0de07aeb3cb3e56