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Paper Citation Record · LEDGER

TriShieldRAG: A Three-Ring Defense-in-Depth Framework Against Knowledge Corruption in Retrieval-Augmented Generation

As of 7 August 2026, this Paper Citation Record lists 40 of 40 outbound references and 0 inbound Pith citation observations for arXiv:2607.23838.

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

pith.paper-citation-record.v1
2607.23838 v1

Coverage vector

measured 40 of 40 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-30T10:56:48.227998Z

measured 40 of 40 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+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

40 of 40 outbound references displayed

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Outbound references

Observation 34d4a1ba-3c68-4470-8737-bfabb166dccb · outbound

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

TriShieldRAG: A Three-Ring Defense-in-Depth Framework Against Knowledge Corruption in Retrieval-Augmented Generation Retrieval-augmented generation for knowledge-intensive NLP tasks,

Reference 1

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source=pdf_text observed=2026-07-30T10:56:48.047305Z digest=sha256:4ca6f1cf6814d3b775deda32cda84a77e840c2a06b6fdd1d3265bca2d0b7fc64

Observation 1034e036-5d35-4e13-90d1-5b38feac677c · outbound

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

TriShieldRAG: A Three-Ring Defense-in-Depth Framework Against Knowledge Corruption in Retrieval-Augmented Generation PoisonedRAG: Knowledge Corruption Attacks to Retrieval-Augmented Generation of Large Language Models

Reference 2

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source=pdf_text observed=2026-07-30T10:56:48.053139Z digest=sha256:d3a3ffee492d5fb65f49fff51031a5d71291f5c4a50570ffab17aa6396f7dfcb

Observation e1cf35d4-4652-463c-ba29-bed07152b79a · outbound

This paper cites Poisoning retrieval corpora by injecting adversarial passages,.

TriShieldRAG: A Three-Ring Defense-in-Depth Framework Against Knowledge Corruption in Retrieval-Augmented Generation Poisoning retrieval corpora by injecting adversarial passages,

Reference 3

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source=pdf_text observed=2026-07-30T10:56:48.058100Z digest=sha256:8cb354402b417493d6b52c36b83c0e54feaac38fa61c5eb4ea8f293356a2f10a

Observation b3132ed0-c8b8-4461-80c3-2420095fe1c0 · outbound

This paper cites Not what you've signed up for: Compromising Real-World LLM-Integrated Applications with Indirect Prompt Injection.

TriShieldRAG: A Three-Ring Defense-in-Depth Framework Against Knowledge Corruption in Retrieval-Augmented Generation Not what you've signed up for: Compromising Real-World LLM-Integrated Applications with Indirect Prompt Injection

Reference 4

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source=pdf_text observed=2026-07-30T10:56:48.063074Z digest=sha256:e4897672f439f95adc60dd14241780f1c1c35b3e846133255d96af1cdb1f902b

Observation d1fda1b3-37e0-4c7d-abd6-d571f2313413 · outbound

This paper cites Sentence-BERT: Sentence embeddings using Siamese BERT-networks,.

TriShieldRAG: A Three-Ring Defense-in-Depth Framework Against Knowledge Corruption in Retrieval-Augmented Generation Sentence-BERT: Sentence embeddings using Siamese BERT-networks,

Reference 5

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source=pdf_text observed=2026-07-30T10:56:48.068027Z digest=sha256:c77f49055882cada1c1656e672758a3e3978f8e2b042eb968c118bcbada433b3

Observation 66ba4d60-9834-4e95-b354-ae93dd1d7826 · outbound

This paper cites Billion-scale similarity search with GPUs,.

TriShieldRAG: A Three-Ring Defense-in-Depth Framework Against Knowledge Corruption in Retrieval-Augmented Generation Billion-scale similarity search with GPUs,

Reference 6

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source=pdf_text observed=2026-07-30T10:56:48.073599Z digest=sha256:1ba965c9f636e6e96a083e5b391432deefdb49fc624cc9d5108af0ccf5591348

Observation 971f8b94-21a1-4235-a9b8-8b45a1889eb1 · outbound

This paper cites Term-weighting approaches in automatic text retrieval,.

TriShieldRAG: A Three-Ring Defense-in-Depth Framework Against Knowledge Corruption in Retrieval-Augmented Generation Term-weighting approaches in automatic text retrieval,

Reference 7

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source=pdf_text observed=2026-07-30T10:56:48.078715Z digest=sha256:1fa247c472ca4a82aa98775ddb3a3690ba00372f0e4ed9903bdc2617bdf85f0c

Observation e49eb2e4-34c2-4485-9b46-52703edce1d2 · outbound

This paper cites Lan- guage models are unsupervised multitask learners,.

TriShieldRAG: A Three-Ring Defense-in-Depth Framework Against Knowledge Corruption in Retrieval-Augmented Generation Lan- guage models are unsupervised multitask learners,

Reference 8

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source=pdf_text observed=2026-07-30T10:56:48.083117Z digest=sha256:03cb294e5d5d28a25c7c47f2641eedec085b2def11cee7dca2efb28fa2b784dc

Observation f4d09a65-062f-49bd-8149-7091d3275220 · outbound

This paper cites The Byzantine generals problem,.

TriShieldRAG: A Three-Ring Defense-in-Depth Framework Against Knowledge Corruption in Retrieval-Augmented Generation The Byzantine generals problem,

Reference 9

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source=pdf_text observed=2026-07-30T10:56:48.087853Z digest=sha256:0732759164d67d29be1b0054e604843f27503cb91c33cacf8d63913424c607c5

Observation 6590774d-daec-485a-af93-0d41fb5f8e3e · outbound

This paper cites On Evaluating Adversarial Robustness.

TriShieldRAG: A Three-Ring Defense-in-Depth Framework Against Knowledge Corruption in Retrieval-Augmented Generation On Evaluating Adversarial Robustness

Reference 10

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source=pdf_text observed=2026-07-30T10:56:48.092922Z digest=sha256:0bf230c0a25afe1edb1defec30ee8c11b9b6cd55d45c1f2ac0d60cc1a3ef2e7e

Observation 2ad9f6d5-99ec-49c6-97b3-b47ed886044e · outbound

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

TriShieldRAG: A Three-Ring Defense-in-Depth Framework Against Knowledge Corruption in Retrieval-Augmented Generation Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 11

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source=pdf_text observed=2026-07-30T10:56:48.098490Z digest=sha256:f3e79dab0a7289f47f538ff009b5876d91f2f8750063bb77a24b0a3c700434d5

Observation fe375c13-9550-4fcb-8731-134bd124a9ab · outbound

This paper cites HotFlip: White-box adversarial examples for text classification,.

TriShieldRAG: A Three-Ring Defense-in-Depth Framework Against Knowledge Corruption in Retrieval-Augmented Generation HotFlip: White-box adversarial examples for text classification,

Reference 12

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source=pdf_text observed=2026-07-30T10:56:48.103258Z digest=sha256:02701fbe67aa86a24d250de654f99dae1c72a9d8c7418b457a48ab588707a364

Observation 6fc8c2de-655d-4dee-bff9-d1a5450edbe2 · outbound

This paper cites RAGShield: Detecting Numerical Claim Manipulation in Government RAG Systems.

TriShieldRAG: A Three-Ring Defense-in-Depth Framework Against Knowledge Corruption in Retrieval-Augmented Generation RAGShield: Detecting Numerical Claim Manipulation in Government RAG Systems

Reference 13

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source=pdf_text observed=2026-07-30T10:56:48.107630Z digest=sha256:b76efe7424d1957c0d5761ec02de71143db0b328d64d9dfab6d85a7314811943

Observation 921d8fdb-c382-4734-9795-2b86a5166311 · outbound

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

TriShieldRAG: A Three-Ring Defense-in-Depth Framework Against Knowledge Corruption in Retrieval-Augmented Generation TrustRAG: Enhancing Robustness and Trustworthiness in Retrieval-Augmented Generation

Reference 14

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source=pdf_text observed=2026-07-30T10:56:48.112346Z digest=sha256:5b69f73de57e66732658295688332b4dcd44f68b6a66822d0d4af15c1dd51963

Observation 61e0e649-2c5d-45e0-ba93-81d2ba35811d · outbound

This paper cites Benchmarking Poisoning Attacks against Retrieval-Augmented Generation.

TriShieldRAG: A Three-Ring Defense-in-Depth Framework Against Knowledge Corruption in Retrieval-Augmented Generation Benchmarking Poisoning Attacks against Retrieval-Augmented Generation

Reference 15

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source=pdf_text observed=2026-07-30T10:56:48.116996Z digest=sha256:83e7f91db2f0dc221f32defae252814fc3c46284ed9d338eb3981418763f80f0

Observation 0625251b-8242-4d11-b35b-27000d0535c5 · outbound

This paper cites Practical poi- soning attacks against retrieval-augmented generation,.

TriShieldRAG: A Three-Ring Defense-in-Depth Framework Against Knowledge Corruption in Retrieval-Augmented Generation Practical poi- soning attacks against retrieval-augmented generation,

Reference 16

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source=pdf_text observed=2026-07-30T10:56:48.121314Z digest=sha256:04f8017a2d4de921cc87cc73dfdd1640e4af207c8489cf43375a4435b8664640

Observation 5070b6fa-8154-45e7-a317-ecaf7fa0da6a · outbound

This paper cites Cordon-MAS: Defending RAG against Knowledge Poisoning via Information-Flow Control.

TriShieldRAG: A Three-Ring Defense-in-Depth Framework Against Knowledge Corruption in Retrieval-Augmented Generation Cordon-MAS: Defending RAG against Knowledge Poisoning via Information-Flow Control

Reference 17

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source=pdf_text observed=2026-07-30T10:56:48.125605Z digest=sha256:133c3cc34c45381ebd84a8e10526a431b8ea0b8a12d04041bd128e810b018257

Observation b628c666-e4c0-4d0a-a533-51cb2361457f · outbound

This paper cites Rescuing the unpoisoned: Efficient defense against knowledge corruption attacks on RAG systems,.

TriShieldRAG: A Three-Ring Defense-in-Depth Framework Against Knowledge Corruption in Retrieval-Augmented Generation Rescuing the unpoisoned: Efficient defense against knowledge corruption attacks on RAG systems,

Reference 18

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source=pdf_text observed=2026-07-30T10:56:48.130258Z digest=sha256:a1eb7be53bdd03b462ec2a3bb1b32def4e286dd6dcc887d8833c4e5f1427ce53

Observation 9652c7b4-c465-4a88-b82b-6bc5e1e5ae1e · outbound

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

TriShieldRAG: A Three-Ring Defense-in-Depth Framework Against Knowledge Corruption in Retrieval-Augmented Generation Traceback of poisoning attacks to retrieval-augmented generation,

Reference 19

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source=pdf_text observed=2026-07-30T10:56:48.134698Z digest=sha256:ac706cc94128f859961bb85a3406df3fe93ae09a7f144194d0cd1a4c0bbde449

Observation 70b730e6-c6ea-44dd-a019-99e2bb09f793 · outbound

This paper cites Dense passage retrieval for open-domain question answering,.

TriShieldRAG: A Three-Ring Defense-in-Depth Framework Against Knowledge Corruption in Retrieval-Augmented Generation Dense passage retrieval for open-domain question answering,

Reference 20

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source=pdf_text observed=2026-07-30T10:56:48.139137Z digest=sha256:2ae5bf600550f7861ab54f551fbca288162723e11a9a342d55d04faf99ccb301

Observation ec7f8b21-5958-4bfe-be0b-7dc38b343b7c · outbound

This paper cites Unsupervised Dense Information Retrieval with Contrastive Learning.

TriShieldRAG: A Three-Ring Defense-in-Depth Framework Against Knowledge Corruption in Retrieval-Augmented Generation Unsupervised Dense Information Retrieval with Contrastive Learning

Reference 21

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source=pdf_text observed=2026-07-30T10:56:48.144011Z digest=sha256:fcf4858c07789b6d6d0562d1f44ad9b852289d32a62ea7c1fa3dda659e1d0785

Observation 3cfa86c3-7dc1-45c5-9f68-3be40958d1f5 · outbound

This paper cites Approximate nearest neighbor negative contrastive learning for dense text retrieval,.

TriShieldRAG: A Three-Ring Defense-in-Depth Framework Against Knowledge Corruption in Retrieval-Augmented Generation Approximate nearest neighbor negative contrastive learning for dense text retrieval,

Reference 22

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source=pdf_text observed=2026-07-30T10:56:48.148626Z digest=sha256:e78f08400d3461cf419e480b19e9d611035801e2d4d8164fb86b0f2051931345

Observation c81475a1-4d4a-49fb-bdd0-a5abddf8689d · outbound

This paper cites The probabilistic relevance framework: BM25 and beyond,.

TriShieldRAG: A Three-Ring Defense-in-Depth Framework Against Knowledge Corruption in Retrieval-Augmented Generation The probabilistic relevance framework: BM25 and beyond,

Reference 23

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source=pdf_text observed=2026-07-30T10:56:48.152701Z digest=sha256:ae7d2bdeb8e23eaa160ca9ddd2b68400d851a0679b910331af968fc3deeccd5f

Observation 9ef3a9f1-8071-497a-9a29-4fe59ca6bfd3 · outbound

This paper cites BEIR: A heterogeneous benchmark for zero-shot evaluation of infor- mation retrieval models,.

TriShieldRAG: A Three-Ring Defense-in-Depth Framework Against Knowledge Corruption in Retrieval-Augmented Generation BEIR: A heterogeneous benchmark for zero-shot evaluation of infor- mation retrieval models,

Reference 24

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source=pdf_text observed=2026-07-30T10:56:48.156828Z digest=sha256:2f115287d061e71c6be9bac64cc76a6c9fd49f55d1e33788468f40246fd6250f

Observation d373f52e-34c9-4470-acb9-f6489e8f8416 · outbound

This paper cites Machine learning with adversaries: Byzantine tolerant gradient descent,.

TriShieldRAG: A Three-Ring Defense-in-Depth Framework Against Knowledge Corruption in Retrieval-Augmented Generation Machine learning with adversaries: Byzantine tolerant gradient descent,

Reference 25

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source=pdf_text observed=2026-07-30T10:56:48.160912Z digest=sha256:84775331cc4c72e41076e8904f69f236afcafe11e7bd61c83bcc0c8ed93bee6d

Observation 9f147973-fd66-4b21-891b-31032c124f7e · outbound

This paper cites Byzantine-robust distributed learning: Towards optimal statistical rates,.

TriShieldRAG: A Three-Ring Defense-in-Depth Framework Against Knowledge Corruption in Retrieval-Augmented Generation Byzantine-robust distributed learning: Towards optimal statistical rates,

Reference 26

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source=pdf_text observed=2026-07-30T10:56:48.165390Z digest=sha256:c3ac070ba1b2ab965fecf915a439403fa5103c1ac2b5451941057bc34390b359

Observation da3fb2a6-d82b-4af1-a8b0-dd1d549df9c1 · outbound

This paper cites The hidden vul- nerability of distributed learning in Byzantium,.

TriShieldRAG: A Three-Ring Defense-in-Depth Framework Against Knowledge Corruption in Retrieval-Augmented Generation The hidden vul- nerability of distributed learning in Byzantium,

Reference 27

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source=pdf_text observed=2026-07-30T10:56:48.169371Z digest=sha256:8b4d37831e55f0a3585aa8ce395efc27c34f07d6a1be0710818f8cb92d551ecb

Observation 594f06a7-30e3-480d-9c0e-b2a5eac7f6fd · outbound

This paper cites Distributed statistical machine learning in adversarial settings: Byzantine gradient descent,.

TriShieldRAG: A Three-Ring Defense-in-Depth Framework Against Knowledge Corruption in Retrieval-Augmented Generation Distributed statistical machine learning in adversarial settings: Byzantine gradient descent,

Reference 28

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source=pdf_text observed=2026-07-30T10:56:48.173608Z digest=sha256:b4b3801d375300ce3618f14f271c7b1825283959790198ee3841df405d9f1a15

Observation 1e67a15e-fe5e-44a3-ae45-5c4ab8bcf028 · outbound

This paper cites FLTrust: Byzantine- robust federated learning via trust bootstrapping,.

TriShieldRAG: A Three-Ring Defense-in-Depth Framework Against Knowledge Corruption in Retrieval-Augmented Generation FLTrust: Byzantine- robust federated learning via trust bootstrapping,

Reference 29

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source=pdf_text observed=2026-07-30T10:56:48.179154Z digest=sha256:8420617c710eff30be28f4cb275b1688a2b2d43119395a9f2c667be77b147f18

Observation 745c57ad-0c86-4afd-9463-1f5a3fd9b97b · outbound

This paper cites Efficient and robust approxi- mate nearest neighbor search using hierarchical navigable small world graphs,.

TriShieldRAG: A Three-Ring Defense-in-Depth Framework Against Knowledge Corruption in Retrieval-Augmented Generation Efficient and robust approxi- mate nearest neighbor search using hierarchical navigable small world graphs,

Reference 30

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source=pdf_text observed=2026-07-30T10:56:48.183785Z digest=sha256:7c65ae5665256d8706a2225263e929aa63eebf835384e10523f042b2202c616d

Observation d5c15f7c-95c2-4507-9822-ce4fa2857076 · outbound

This paper cites Product quantization for nearest neighbor search,.

TriShieldRAG: A Three-Ring Defense-in-Depth Framework Against Knowledge Corruption in Retrieval-Augmented Generation Product quantization for nearest neighbor search,

Reference 31

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source=pdf_text observed=2026-07-30T10:56:48.188911Z digest=sha256:8677456d48a070cab18fadbd9336b5ed7148c829c0c1c69495fc7a5374d39867

Observation f12dcd3c-5ccb-4b9e-b867-be102f3d8a10 · outbound

This paper cites Natural Questions: A benchmark for question answering research,.

TriShieldRAG: A Three-Ring Defense-in-Depth Framework Against Knowledge Corruption in Retrieval-Augmented Generation Natural Questions: A benchmark for question answering research,

Reference 32

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source=pdf_text observed=2026-07-30T10:56:48.193157Z digest=sha256:bb86c0f5a02aaa537e764a512fcc9d3a629e819c9019ab96ec2cb457831de9d7

Observation eca42611-fef9-4e8f-ad10-ab75d945df62 · outbound

This paper cites HotpotQA: A dataset for diverse, explainable multi-hop question answering,.

TriShieldRAG: A Three-Ring Defense-in-Depth Framework Against Knowledge Corruption in Retrieval-Augmented Generation HotpotQA: A dataset for diverse, explainable multi-hop question answering,

Reference 33

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source=pdf_text observed=2026-07-30T10:56:48.197292Z digest=sha256:c48dd69ed2bc8e2fbacf10affb5f5c58603f4da1299c6fb44d3a3f146324e402

Observation 42ce52f1-3874-4c42-a5b6-630a2969330b · outbound

This paper cites MS MARCO: A Human Generated MAchine Reading COmprehension Dataset.

TriShieldRAG: A Three-Ring Defense-in-Depth Framework Against Knowledge Corruption in Retrieval-Augmented Generation MS MARCO: A Human Generated MAchine Reading COmprehension Dataset

Reference 34

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source=pdf_text observed=2026-07-30T10:56:48.201295Z digest=sha256:ad96849bd5422b8c517dc509de04e1471a9d93225a89f18b9001aeaa5e90926b

Observation 63eac46f-8f0b-439f-8049-e19d75c9d4c5 · outbound

This paper cites MPNet: Masked and permuted pre-training for language understanding,.

TriShieldRAG: A Three-Ring Defense-in-Depth Framework Against Knowledge Corruption in Retrieval-Augmented Generation MPNet: Masked and permuted pre-training for language understanding,

Reference 35

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source=pdf_text observed=2026-07-30T10:56:48.206120Z digest=sha256:4ddab05325f918eca146dbeb3bc3fd5a436a1e7ef8aac48a1e0857cb45eaab18

Observation bb78122b-43fd-46b5-a697-e14a7156bf25 · outbound

This paper cites BERT: Pre-training of deep bidirectional transformers for language understanding,.

TriShieldRAG: A Three-Ring Defense-in-Depth Framework Against Knowledge Corruption in Retrieval-Augmented Generation BERT: Pre-training of deep bidirectional transformers for language understanding,

Reference 36

Resolution
unresolved
no resolver link, observed 2026-07-30T10:56:48.210449Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-30T10:56:48.210449Z digest=sha256:4087b27779ea8598515aa4809f052fd86aba33659a39e324ae6a10bd84f752fc

Observation 190f8434-b261-43c7-98f9-fb4b2a21efb2 · outbound

This paper cites The Faiss library.

TriShieldRAG: A Three-Ring Defense-in-Depth Framework Against Knowledge Corruption in Retrieval-Augmented Generation The Faiss library

Reference 37

Resolution
unresolved
no resolver link, observed 2026-07-30T10:56:48.214716Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-30T10:56:48.214716Z digest=sha256:0cceff2c058c074a27c8ae750004fc13d0a45880cfa2230405d31133c21bb3d1

Observation ab7716de-4149-441a-8a2d-7446cab7e207 · outbound

This paper cites Milvus: A purpose-built vector data management system,.

TriShieldRAG: A Three-Ring Defense-in-Depth Framework Against Knowledge Corruption in Retrieval-Augmented Generation Milvus: A purpose-built vector data management system,

Reference 38

Resolution
unresolved
no resolver link, observed 2026-07-30T10:56:48.219172Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-30T10:56:48.219172Z digest=sha256:5f55e7cd3b2f4f067a618eae0471b7b4f6b5ca034d36e3289609c81e9fe92383

Observation d8131fc9-f083-4d85-bdb7-cc9d4d3d7158 · outbound

This paper cites Survey of Vector Database Management Systems.

TriShieldRAG: A Three-Ring Defense-in-Depth Framework Against Knowledge Corruption in Retrieval-Augmented Generation Survey of Vector Database Management Systems

Reference 39

Resolution
unresolved
no resolver link, observed 2026-07-30T10:56:48.223099Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-30T10:56:48.223099Z digest=sha256:acee74edab35447b3ecf2483d2bff2411d47980020adb9d3da28fdbcc51371d6

Observation 85c7b8db-690a-427d-bf1e-32fd6b72e00d · outbound

This paper cites RAGPart & RAGMask: Retrieval-stage defenses against corpus poi- soning in retrieval-augmented generation,.

TriShieldRAG: A Three-Ring Defense-in-Depth Framework Against Knowledge Corruption in Retrieval-Augmented Generation RAGPart & RAGMask: Retrieval-stage defenses against corpus poi- soning in retrieval-augmented generation,

Reference 40

Resolution
unresolved
no resolver link, observed 2026-07-30T10:56:48.227998Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-30T10:56:48.227998Z digest=sha256:5eb8bec58b1c827768c4b047aa4338b9f8ddd76572c5b87e7c7111e8d99e7f7c

Pith citing papers

No inbound Pith citation observations are available.