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Paper Citation Record · LEDGER

Distributed Retrieval-Augmented Generation

As of 18 August 2026, this Paper Citation Record lists 38 of 38 outbound references and 1 inbound Pith citation observation for arXiv:2505.00443.

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

pith.paper-citation-record.v1
2505.00443 v1

Coverage vector

measured 38 of 38 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T04:46:38.714303Z

measured 39 of 39 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-30T15:12:01.208381Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-30T15:14:46.872038Z

Reference resolution

38 of 38 outbound references displayed

  • verified exact1
  • verified fuzzy18
  • unresolved19
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 0564b057-91a1-4ebd-84b3-3800c5e06422 · outbound

This paper cites A review on edge large language models: Design, execution, and applications,.

Distributed Retrieval-Augmented Generation A review on edge large language models: Design, execution, and applications,

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:46:39.272096Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T04:46:38.560958Z digest=sha256:afa0d1074b187fda148f20d0b11d2663a8b18a3982db426061a3d536443b3af7

Observation b8672449-5111-4012-bcd4-63e164f6b896 · outbound

This paper cites Mobile edge intelligence for large language models: A contemporary survey,.

Distributed Retrieval-Augmented Generation Mobile edge intelligence for large language models: A contemporary survey,

Reference 2

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verified fuzzy
raw_fallback, observed 2026-08-16T04:46:39.260760Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T04:46:38.565404Z digest=sha256:d37ec81e7bade1f35cba7cf787907d8547381785126995567e41d9acba1b8072

Observation 311c0a4a-d044-4cf2-b992-e0fb175943f1 · outbound

This paper cites Pre-trained language models in biomedical domain: A systematic survey,.

Distributed Retrieval-Augmented Generation Pre-trained language models in biomedical domain: A systematic survey,

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:46:39.248847Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T04:46:38.569470Z digest=sha256:4c557a4e9bdadb0ebe5eeeee767fa6cbd15a904e809dcaf6c63aad126928a2da

Observation 2686ebe2-e55b-4294-accf-8d3623e64dc6 · outbound

This paper cites Vision language models in autonomous driving: A survey and outlook,.

Distributed Retrieval-Augmented Generation Vision language models in autonomous driving: A survey and outlook,

Reference 4

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verified fuzzy
raw_fallback, observed 2026-08-16T04:46:39.237592Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T04:46:38.573769Z digest=sha256:78ce539de6323e6cf38553fc82b8b194a397d353f576d8bfb0f413d270b8366b

Observation 84d376d6-36a1-4b22-a78f-8fcb88c5ff8c · outbound

This paper cites Survey of hallucination in natural language generation,.

Distributed Retrieval-Augmented Generation Survey of hallucination in natural language generation,

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:46:39.225873Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T04:46:38.577670Z digest=sha256:fbe91e4fea2c3a18051f0ef6154c92b6df0b1ce9ecb76690b957bbbac2376087

Observation a5d39d35-398a-4baa-a8a4-27c891bc0813 · outbound

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

Distributed Retrieval-Augmented Generation Retrieval-Augmented Generation for Large Language Models: A Survey

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-16T04:46:38.581591Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:46:38.581591Z digest=sha256:0d8e82a6b475c96b8bb287dc2ba51f2674b6fd774b011c2c9c8357802b18986b

Observation e2623377-f604-44fa-907d-0d25751c3b11 · outbound

This paper cites A survey on rag meeting llms: Towards retrieval-augmented large language models,.

Distributed Retrieval-Augmented Generation A survey on rag meeting llms: Towards retrieval-augmented large language models,

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:46:39.214092Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T04:46:38.585888Z digest=sha256:18fbaa6b5b5e8ff9de03be84ab24c83804e1a69043f3aacfb1adbb4ea8ea61da

Observation 7f594688-58b2-40e8-8b2c-562bcc174cb7 · outbound

This paper cites Don’t forget private retrieval: distributed private similarity search for large language models,.

Distributed Retrieval-Augmented Generation Don’t forget private retrieval: distributed private similarity search for large language models,

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:46:39.203047Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T04:46:38.589494Z digest=sha256:950989133bb08b346ccd19d4b469174b570e280270744f04984177a3c642f2f7

Observation 5cdd4cf0-7385-43db-85e2-63cb29807aa4 · outbound

This paper cites Privacy-preserving retrieval augmented generation with differential privacy,.

Distributed Retrieval-Augmented Generation Privacy-preserving retrieval augmented generation with differential privacy,

Reference 9

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no resolver link, observed 2026-08-16T04:46:38.592999Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:46:38.592999Z digest=sha256:02fdd0abc6ca0e5597090f5e140586125f8cef5ad7965f5badfb0932899e5fde

Observation 69d7e73e-938a-4e26-b92f-3e604169dd47 · outbound

This paper cites Cache me if you can: The case for retrieval augmentation in federated learning,.

Distributed Retrieval-Augmented Generation Cache me if you can: The case for retrieval augmentation in federated learning,

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:46:39.190986Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T04:46:38.596774Z digest=sha256:e9fa8212a5fea4b8e71eaffe1a2a482fa9d606f588a54d557403ab7301a1cea5

Observation 863bcf18-5c1b-4906-a48c-8303ec511355 · outbound

This paper cites Mitigating the Privacy Issues in Retrieval-Augmented Generation (RAG) via Pure Synthetic Data.

Distributed Retrieval-Augmented Generation Mitigating the Privacy Issues in Retrieval-Augmented Generation (RAG) via Pure Synthetic Data

Reference 11

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no resolver link, observed 2026-08-16T04:46:38.600667Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:46:38.600667Z digest=sha256:79cef966dfd5d54337c45b30d22c972ddd3c5c6483616ff56b0be7e6d72cd5b4

Observation 636b86ec-8799-4107-9097-2f7ff312f86e · outbound

This paper cites Evaluating the Efficacy of Open-Source LLMs in Enterprise-Specific RAG Systems: A Comparative Study of Performance and Scalability.

Distributed Retrieval-Augmented Generation Evaluating the Efficacy of Open-Source LLMs in Enterprise-Specific RAG Systems: A Comparative Study of Performance and Scalability

Reference 12

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no resolver link, observed 2026-08-16T04:46:38.604862Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:46:38.604862Z digest=sha256:f682963a430520d9035f885ed669f9ced15bd8f01f52a29da17c333febe937c2

Observation 89adb27c-6849-4dff-9532-33c6cb32077b · outbound

This paper cites Benchmarking large language models in retrieval-augmented generation,.

Distributed Retrieval-Augmented Generation Benchmarking large language models in retrieval-augmented generation,

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:46:39.179847Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T04:46:38.609017Z digest=sha256:5379da17801d5ab69a71e15ba6ff47d7d240cca522fdbed4afa8c552a6d6aa63

Observation 4be482ee-2ebe-4c9f-98a4-957b2c94a439 · outbound

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

Distributed Retrieval-Augmented Generation Retrieval-augmented generation for knowledge-intensive nlp tasks,

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:46:39.168815Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T04:46:38.612851Z digest=sha256:902b58f9105b3996d29a98ab983025f482f78eadb8b39c46d09c0a8baf644715

Observation d9625e2b-4cd4-48c9-a7ea-546c788f9b6e · outbound

This paper cites Retrieval aug- mented language model pre-training,.

Distributed Retrieval-Augmented Generation Retrieval aug- mented language model pre-training,

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:46:39.157115Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T04:46:38.616759Z digest=sha256:66bf30de41f00f05fbebf0f0d755c713d21d860e92009bd9b9d54f8b886009b7

Observation 707df8d1-68fc-4370-ad82-bfd1543b7564 · outbound

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

Distributed Retrieval-Augmented Generation Dense passage retrieval for open-domain question answering,

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:46:39.145914Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T04:46:38.620402Z digest=sha256:e3c332614bb931d914a100e3f2b22e9ee1138dd0b609077a09a2886b419e8ddf

Observation 47783197-7a51-40e8-bc96-6e6468995dbf · outbound

This paper cites Self-rag: Learning to retrieve, generate, and critique through self-reflection,.

Distributed Retrieval-Augmented Generation Self-rag: Learning to retrieve, generate, and critique through self-reflection,

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:46:39.134313Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T04:46:38.624047Z digest=sha256:a994980445e24ced4c98058484c48bd3c2a1204a2acc333cb684bcd662461532

Observation 5931dd95-a030-4007-b16e-6f263ddc478d · outbound

This paper cites From Local to Global: A Graph RAG Approach to Query-Focused Summarization.

Distributed Retrieval-Augmented Generation From Local to Global: A Graph RAG Approach to Query-Focused Summarization

Reference 18

Resolution
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no resolver link, observed 2026-08-16T04:46:38.627781Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:46:38.627781Z digest=sha256:34b422a3263e70532a06b8d7b42ff0fe2699f01b9d7c49f7e49cb5d1a2b07d28

Observation d14d01c0-a0eb-41fb-bc04-e27c7e6b109d · outbound

This paper cites GRAG: Graph Retrieval-Augmented Generation.

Distributed Retrieval-Augmented Generation GRAG: Graph Retrieval-Augmented Generation

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-16T04:46:38.632378Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:46:38.632378Z digest=sha256:c57662f41d179561ae20e41ab868b00d54319ddf2a27deb442f9cf24c8605455

Observation d1c0a102-5ad3-4e73-b738-989ce28aa46a · outbound

This paper cites GNN-RAG: Graph Neural Retrieval for Large Language Model Reasoning.

Distributed Retrieval-Augmented Generation GNN-RAG: Graph Neural Retrieval for Large Language Model Reasoning

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-16T04:46:38.637090Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:46:38.637090Z digest=sha256:889199a98c435ea2cd689ffed8ca8f5a6b44c5064438509e1edfc73002c088cc

Observation 7a2461f0-4159-41ca-b827-6e0532610ead · outbound

This paper cites Rankrag: Unifying context ranking with retrieval- augmented generation in llms,.

Distributed Retrieval-Augmented Generation Rankrag: Unifying context ranking with retrieval- augmented generation in llms,

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:46:39.120149Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T04:46:38.641487Z digest=sha256:d064ea81ea5c97bb76296607997abe7cbeee701d033acb35d5b41bb0de387974

Observation d1fe73c0-3c35-4a94-bb24-c0cd65c60390 · outbound

This paper cites Large language model routing with benchmark datasets,.

Distributed Retrieval-Augmented Generation Large language model routing with benchmark datasets,

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:46:39.108246Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T04:46:38.645698Z digest=sha256:30fbc6672aa36f2113d588f14ec1a37ef824deb4eef0a55bcfff4d1653fb3ac6

Observation dea92328-5304-45fc-a4f3-bbd879081275 · outbound

This paper cites Unsupervised Query Routing for Retrieval Augmented Generation.

Distributed Retrieval-Augmented Generation Unsupervised Query Routing for Retrieval Augmented Generation

Reference 23

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no resolver link, observed 2026-08-16T04:46:38.649601Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:46:38.649601Z digest=sha256:da443c5cde3e3d4e60323dbe64230ee004382673bafb052015eae1bdd1b4766b

Observation 15f7132c-44b7-4225-aecd-0b8e601f69ff · outbound

This paper cites Hierarchical Retrieval-Augmented Generation Model with Rethink for Multi-hop Question Answering.

Distributed Retrieval-Augmented Generation Hierarchical Retrieval-Augmented Generation Model with Rethink for Multi-hop Question Answering

Reference 24

Resolution
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no resolver link, observed 2026-08-16T04:46:38.653969Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:46:38.653969Z digest=sha256:2184ccd41c4aeee9569f0285b26f067282f4128833f2e70fab8a00a8d1d91a58

Observation 5ad2580a-a4a2-4a9c-a308-5c5ad3b79839 · outbound

This paper cites ArchRAG: Attributed Community-based Hierarchical Retrieval-Augmented Generation.

Distributed Retrieval-Augmented Generation ArchRAG: Attributed Community-based Hierarchical Retrieval-Augmented Generation

Reference 25

Resolution
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no resolver link, observed 2026-08-16T04:46:38.658551Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:46:38.658551Z digest=sha256:5ae07832ee9ce70df7cea4cb22ae4c38fc2728c6a9571bf817e95b691dee2a67

Observation 4fe19cea-8454-4481-b60f-acf7259b9dea · outbound

This paper cites Feb4rag: Evaluat- ing federated search in the context of retrieval augmented generation,.

Distributed Retrieval-Augmented Generation Feb4rag: Evaluat- ing federated search in the context of retrieval augmented generation,

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:46:39.095463Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T04:46:38.665514Z digest=sha256:174129d5a132ceb57aecfca81fbc6a112dd379112f7a50334a1d8c0b0cd7f8ff

Observation 125aedc4-305f-4371-95ce-509ba6b5d61f · outbound

This paper cites C-FedRAG: A Confidential Federated Retrieval-Augmented Generation System.

Distributed Retrieval-Augmented Generation C-FedRAG: A Confidential Federated Retrieval-Augmented Generation System

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-16T04:46:38.669175Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:46:38.669175Z digest=sha256:00c25a849175c6f110c241501843fad83cde90686f29aa9ade2e35e57a7cfa8c

Observation 3003d2f1-6e0a-4521-af5d-05a3bed1ca2d · outbound

This paper cites The Good and The Bad: Exploring Privacy Issues in Retrieval-Augmented Generation (RAG).

Distributed Retrieval-Augmented Generation The Good and The Bad: Exploring Privacy Issues in Retrieval-Augmented Generation (RAG)

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-16T04:46:38.673314Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:46:38.673314Z digest=sha256:309715bb57215058357a386b9e91a9b7c9c10e0914266035900a15d7156765c4

Observation b92f7b41-9985-4c99-b478-493066122a2e · outbound

This paper cites Feedback-Guided Extraction of Knowledge Base from Retrieval-Augmented LLM Applications.

Distributed Retrieval-Augmented Generation Feedback-Guided Extraction of Knowledge Base from Retrieval-Augmented LLM Applications

Reference 29

Resolution
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no resolver link, observed 2026-08-16T04:46:38.677153Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:46:38.677153Z digest=sha256:d0f15a854caf1478673cbfd61827d4cb3372d3ae42d9fbf89413931b29bf1fa3

Observation 05318b6b-0cc6-4645-881b-7fb01becb3e0 · outbound

This paper cites Is My Data in Your Retrieval Database? Membership Inference Attacks Against Retrieval Augmented Generation.

Distributed Retrieval-Augmented Generation Is My Data in Your Retrieval Database? Membership Inference Attacks Against Retrieval Augmented Generation

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-16T04:46:38.681126Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:46:38.681126Z digest=sha256:213c072fc1b1859487769aa13f1077f15169bee6abe12f9d2905e2777545cd20

Observation f2992d54-e279-48e4-add1-d59ace86c4a2 · outbound

This paper cites Mask-based Membership Inference Attacks for Retrieval-Augmented Generation.

Distributed Retrieval-Augmented Generation Mask-based Membership Inference Attacks for Retrieval-Augmented Generation

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-16T04:46:38.685158Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:46:38.685158Z digest=sha256:fcf9d0c303f33f7a81552d54c19ed05592caa935ed0da9c4c2c561cdde06d087

Observation 996f1082-ccf8-4ea0-bd2e-982e7af6507f · outbound

This paper cites Generating Is Believing: Membership Inference Attacks against Retrieval-Augmented Generation.

Distributed Retrieval-Augmented Generation Generating Is Believing: Membership Inference Attacks against Retrieval-Augmented Generation

Reference 32

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no resolver link, observed 2026-08-16T04:46:38.689066Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:46:38.689066Z digest=sha256:6c8412f495c273108ec303dec004b5726de5801ca238d5bc08d43548fc36be10

Observation 83841e1d-6853-490e-b055-5e9df4993c5c · outbound

This paper cites BadRAG: Identifying Vulnerabilities in Retrieval Augmented Generation of Large Language Models.

Distributed Retrieval-Augmented Generation BadRAG: Identifying Vulnerabilities in Retrieval Augmented Generation of Large Language Models

Reference 33

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no resolver link, observed 2026-08-16T04:46:38.693465Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:46:38.693465Z digest=sha256:a0430015e589a482608bbff597c1903fd867dc55e7c87f4aa515e2de236b99e6

Observation 92677571-7e2a-46f1-86f9-7ef2ce537b41 · outbound

This paper cites FRAG: Toward Federated Vector Database Management for Collaborative and Secure Retrieval-Augmented Generation.

Distributed Retrieval-Augmented Generation FRAG: Toward Federated Vector Database Management for Collaborative and Secure Retrieval-Augmented Generation

Reference 34

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unresolved
no resolver link, observed 2026-08-16T04:46:38.697369Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:46:38.697369Z digest=sha256:d373099b053700e5314203a7ac6bad511803f2bf7b751d5356f5e193675474a9

Observation 8e7815ed-e877-420c-b0da-ff5ddbaa7741 · outbound

This paper cites RAG-WM: An Efficient Black-Box Watermarking Approach for Retrieval-Augmented Generation of Large Language Models.

Distributed Retrieval-Augmented Generation RAG-WM: An Efficient Black-Box Watermarking Approach for Retrieval-Augmented Generation of Large Language Models

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-16T04:46:38.701473Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:46:38.701473Z digest=sha256:96442c945c1221640c90ce7786bb643cd2e1c784a67814ac62a81dd74be27191

Observation e72cfeda-b7ed-442d-94c2-55c3ce298ffe · outbound

This paper cites RAG with Differential Privacy.

Distributed Retrieval-Augmented Generation RAG with Differential Privacy

Reference 36

Resolution
verified exact
local_arxiv, observed 2026-08-16T04:46:38.753811Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T04:46:38.706074Z digest=sha256:bcc9fda5ad735ab765e7eaf449010b7c54cb416fea2b9e7e7e9f895dc181cafa

Observation 462506c1-e06e-4b28-a578-862f652a178a · outbound

This paper cites A light- weight and attack-proof bidirectional blockchain paradigm for internet of things,.

Distributed Retrieval-Augmented Generation A light- weight and attack-proof bidirectional blockchain paradigm for internet of things,

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:46:39.083771Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T04:46:38.709918Z digest=sha256:73bb747685719d7d039962ee655964a82af11e27e5bc4549bf3a25a2acc51e0b

Observation 4420ce04-58f3-492c-86c1-d519c0b4455b · outbound

This paper cites Error and attack tolerance of complex networks,.

Distributed Retrieval-Augmented Generation Error and attack tolerance of complex networks,

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:46:39.071695Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T04:46:38.714303Z digest=sha256:39c205aed6cf8502aedcd01bd9f3271bfe6290eca729977d488a129f9dd36d93

Pith citing papers

Observation 5ae2566b-0d1d-4682-8cfc-d4679d98b79c · inbound

FD-RAG: Federated Dual-System Retrieval-Augmented Generation cites this paper.

FD-RAG: Federated Dual-System Retrieval-Augmented Generation Distributed Retrieval-Augmented Generation

Reference 4

Resolution
verified exact
arxiv_id, observed 2026-06-30T15:14:46.873802Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-06-30T15:12:01.208381Z digest=sha256:a7fbc072b4d822030c113a572519d17a21b3d8383ab7d6b8fa633ec1c87bb5b5