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Paper Citation Record · LEDGER

Knowledge Base Poisoning Attacks and Defense for Policy-Aware LLM-RAG Framework

As of 10 August 2026, this Paper Citation Record lists 21 of 21 outbound references and 0 inbound Pith citation observations for arXiv:2607.04379.

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

pith.paper-citation-record.v1
2607.04379 v1

Coverage vector

measured 21 of 21 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-11T19:36:56.818416Z

measured 21 of 21 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

21 of 21 outbound references displayed

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  • verified fuzzy0
  • unresolved21
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation aac4809b-dad1-4ae3-8a0c-da7a8b2b00dd · outbound

This paper cites Internet of battle things,.

Knowledge Base Poisoning Attacks and Defense for Policy-Aware LLM-RAG Framework Internet of battle things,

Reference 1

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-11T19:36:56.818416Z digest=sha256:c1313433104de88c310778aea67c50bd50696e99dc4529cae48af12dedc73122

Observation 728304aa-ba82-40ff-be91-19ff52bf7f89 · outbound

This paper cites GIoT: Generative AI for Internet of Things orchestra- tion,.

Knowledge Base Poisoning Attacks and Defense for Policy-Aware LLM-RAG Framework GIoT: Generative AI for Internet of Things orchestra- tion,

Reference 2

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source=pdf_text observed=2026-07-11T19:36:56.818416Z digest=sha256:f125c2dd140d78ffec64617fe24f89b3514d5e2058c621450e7933a5c6dd8328

Observation 05c76b31-b789-4d8f-89bc-4f647177c80a · outbound

This paper cites Large language models for IoT task automation,.

Knowledge Base Poisoning Attacks and Defense for Policy-Aware LLM-RAG Framework Large language models for IoT task automation,

Reference 3

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-11T19:36:56.818416Z digest=sha256:d6feaa412f1b23dcff00fd497fa576e7b431aef0089397667b569c8add7be129

Observation c8fda35f-2ffc-4aee-83ef-e617f0399987 · outbound

This paper cites Colonial pipeline cyber incident,.

Knowledge Base Poisoning Attacks and Defense for Policy-Aware LLM-RAG Framework Colonial pipeline cyber incident,

Reference 4

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source=pdf_text observed=2026-07-11T19:36:56.818416Z digest=sha256:c1621c871482a6b53f29841ba0e17ecbc792af736900f007ee19976f619dbce5

Observation da05a33c-3464-4da1-88bf-5f276239df6d · outbound

This paper cites Retrieval-augmented generation for knowledge-intensive NLP tasks,.

Knowledge Base Poisoning Attacks and Defense for Policy-Aware LLM-RAG Framework Retrieval-augmented generation for knowledge-intensive NLP tasks,

Reference 5

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no resolver link, observed 2026-07-11T19:36:56.818416Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-11T19:36:56.818416Z digest=sha256:bebaf50328bbddf7ebad8c48f538c4e9eb47b79be3e997531a95ac9a391a3a87

Observation f50b87e3-708f-4a24-9c17-9dc5846a4780 · outbound

This paper cites Policy-Aware Edge LLM-RAG Framework for Internet of Battlefield Things Mission Orchestration.

Knowledge Base Poisoning Attacks and Defense for Policy-Aware LLM-RAG Framework Policy-Aware Edge LLM-RAG Framework for Internet of Battlefield Things Mission Orchestration

Reference 6

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no resolver link, observed 2026-07-11T19:36:56.818416Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-11T19:36:56.818416Z digest=sha256:ad0f775f8d996c1cf29075b83a7fa1d4cddc8226a3b666bd85675d82cbceef44

Observation 1296d6bf-7477-4bcc-89d6-914e1ba0d210 · outbound

This paper cites PoisonedRAG: Knowledge corruption attacks to retrieval-augmented generation of large language models,.

Knowledge Base Poisoning Attacks and Defense for Policy-Aware LLM-RAG Framework PoisonedRAG: Knowledge corruption attacks to retrieval-augmented generation of large language models,

Reference 7

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-11T19:36:56.818416Z digest=sha256:6f6a6254aece6599a6c949133833e8786534abd0da60c251524d82f823302af1

Observation bf658bd5-bfb8-4c2d-8d99-19d035cb5bcc · outbound

This paper cites SFDFusion: An Efficient Spatial-Frequency Domain Fusion Network for Infrared and Visible Image Fusion.

Knowledge Base Poisoning Attacks and Defense for Policy-Aware LLM-RAG Framework SFDFusion: An Efficient Spatial-Frequency Domain Fusion Network for Infrared and Visible Image Fusion

Reference 8

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no resolver link, observed 2026-07-11T19:36:56.818416Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-11T19:36:56.818416Z digest=sha256:c242e8121aab17aadba90427cc8fca3123612a18e612fe229dad5fc34a7c09ff

Observation a4a931f9-b2c1-4061-b787-df4cdeffc937 · outbound

This paper cites PR-Attack: Coordinated prompt-RAG attacks on retrieval-augmented generation in large language models via bilevel optimization,.

Knowledge Base Poisoning Attacks and Defense for Policy-Aware LLM-RAG Framework PR-Attack: Coordinated prompt-RAG attacks on retrieval-augmented generation in large language models via bilevel optimization,

Reference 9

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no resolver link, observed 2026-07-11T19:36:56.818416Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-11T19:36:56.818416Z digest=sha256:74b7a768afe44f51c4b564c978cc7881e93dd1c293e5ce271f3333cce33425d2

Observation 54a7f59f-5b97-4480-96e5-f48e298f3fcc · outbound

This paper cites Intelligent autonomous things on the battlefield,.

Knowledge Base Poisoning Attacks and Defense for Policy-Aware LLM-RAG Framework Intelligent autonomous things on the battlefield,

Reference 10

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-11T19:36:56.818416Z digest=sha256:294acb425502857e923bf62a7a09eb1d9ced6097125deea518d973fd52df3f69

Observation 058ef150-ee54-4e0c-94ac-da30a4c1205c · outbound

This paper cites RAGTruth: A Hallucination Corpus for Developing Trustworthy Retrieval-Augmented Language Models.

Knowledge Base Poisoning Attacks and Defense for Policy-Aware LLM-RAG Framework RAGTruth: A Hallucination Corpus for Developing Trustworthy Retrieval-Augmented Language Models

Reference 11

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source=pdf_text observed=2026-07-11T19:36:56.818416Z digest=sha256:db79caa4a4ea271af9fe3ec56c0b8c3c2afa9240e62f616b25590180a5b1c552

Observation 713069cd-90a1-4716-834d-1b7dab3b9a30 · outbound

This paper cites TrustRAG: Enhancing Robustness and Trustworthiness in Retrieval-Augmented Generation.

Knowledge Base Poisoning Attacks and Defense for Policy-Aware LLM-RAG Framework TrustRAG: Enhancing Robustness and Trustworthiness in Retrieval-Augmented Generation

Reference 12

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-11T19:36:56.818416Z digest=sha256:3fe6c966b7c60d7120713129eae2a9686b8e20e1ebffe081ae49d37e001c0c39

Observation f55b8b7c-a9b8-458c-aec3-0020cf263bdf · outbound

This paper cites Certifiably robust RAG against retrieval corruption,.

Knowledge Base Poisoning Attacks and Defense for Policy-Aware LLM-RAG Framework Certifiably robust RAG against retrieval corruption,

Reference 13

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source=pdf_text observed=2026-07-11T19:36:56.818416Z digest=sha256:718fc2051ab6e56ea7d49d5026a5a3868d6e9762157d000b4b02c769db93cf1d

Observation 961ba68c-daab-4585-b653-eaefb07c99a6 · outbound

This paper cites RAGForensics: Traceback of poisoning attacks to retrieval-augmented generation,.

Knowledge Base Poisoning Attacks and Defense for Policy-Aware LLM-RAG Framework RAGForensics: Traceback of poisoning attacks to retrieval-augmented generation,

Reference 14

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source=pdf_text observed=2026-07-11T19:36:56.818416Z digest=sha256:dd525e13903acc7dee884050dc8c9dfb18f1e4ac0680e25e4ee3e95ea2d1fc75

Observation c4f7f76f-7579-4d9e-a9fd-fe9f795da4fa · outbound

This paper cites Estimating the support of a high-dimensional distribution,.

Knowledge Base Poisoning Attacks and Defense for Policy-Aware LLM-RAG Framework Estimating the support of a high-dimensional distribution,

Reference 15

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source=pdf_text observed=2026-07-11T19:36:56.818416Z digest=sha256:941e4394c9655bbb50116ff7f87638b3a98aa4df1c9ce4f164c0a2a37c406707

Observation bb72a410-7965-4fb0-904c-a7e1bb39a17f · outbound

This paper cites A density-based algorithm for discovering clusters in large spatial databases with noise,.

Knowledge Base Poisoning Attacks and Defense for Policy-Aware LLM-RAG Framework A density-based algorithm for discovering clusters in large spatial databases with noise,

Reference 16

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source=pdf_text observed=2026-07-11T19:36:56.818416Z digest=sha256:8f47a9e7aa1786814299dd221dcf47eed4d9dbe2020e1c3c9f6c1df423755631

Observation 9d85f9b4-bf17-4aba-81a1-46e7c3bb0715 · outbound

This paper cites LOF: Identifying density-based local outliers,.

Knowledge Base Poisoning Attacks and Defense for Policy-Aware LLM-RAG Framework LOF: Identifying density-based local outliers,

Reference 17

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source=pdf_text observed=2026-07-11T19:36:56.818416Z digest=sha256:47c6862b4792281dc787f518901a7f5219b1b112e6c361686130fc82af09aee7

Observation f45b4b3f-770c-4dd7-a002-6642f60b382f · outbound

This paper cites A simple partitioning algorithm with applications to Econometric clustering,.

Knowledge Base Poisoning Attacks and Defense for Policy-Aware LLM-RAG Framework A simple partitioning algorithm with applications to Econometric clustering,

Reference 18

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source=pdf_text observed=2026-07-11T19:36:56.818416Z digest=sha256:f692388468065f2c596c7142e64e430d729543ca3a6df982f967111a650c5114

Observation 2b744a3d-1285-40d3-97c1-a1b8bb06d597 · outbound

This paper cites Isolation forest,.

Knowledge Base Poisoning Attacks and Defense for Policy-Aware LLM-RAG Framework Isolation forest,

Reference 19

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source=pdf_text observed=2026-07-11T19:36:56.818416Z digest=sha256:7bdbe0e03efe0a467baf6bd78bba121a3caaffe03e53db8c4b2dc7133c9493f4

Observation c0e1f411-68fe-4426-828e-1a2b87e34b42 · outbound

This paper cites The Llama 3 herd of models,.

Knowledge Base Poisoning Attacks and Defense for Policy-Aware LLM-RAG Framework The Llama 3 herd of models,

Reference 20

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source=pdf_text observed=2026-07-11T19:36:56.818416Z digest=sha256:e458ad085401d11e172235551f1031a99961bd74ae46adffe6bede3185a48df3

Observation 23b7d22e-af0d-4768-9d2f-d00371c5e4c7 · outbound

This paper cites Nomic embed: Training a reproducible long context text embedder,.

Knowledge Base Poisoning Attacks and Defense for Policy-Aware LLM-RAG Framework Nomic embed: Training a reproducible long context text embedder,

Reference 21

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-11T19:36:56.818416Z digest=sha256:ddd5b53d4d656137122e13ad3c97854d8dbe03eb5144ba9e2b0227adaa70b3cb

Pith citing papers

No inbound Pith citation observations are available.