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Paper Citation Record · LEDGER

DRAGIN: Dynamic Retrieval Augmented Generation based on the Information Needs of Large Language Models

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 35 inbound Pith citation observations for arXiv:2403.10081.

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

pith.paper-citation-record.v1
2403.10081 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 35 of 35 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 35 of 35 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T05:56:22.272411Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T20:08:56.363477Z

Reference resolution

0 of 0 outbound references displayed

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External citation measurements

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Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 511766df-67f9-4f07-8788-d39faf0acb86 · inbound

A Survey on Retrieval-Augmented Text Generation for Large Language Models cites this paper.

A Survey on Retrieval-Augmented Text Generation for Large Language Models DRAGIN: Dynamic Retrieval Augmented Generation based on the Information Needs of Large Language Models

Reference 128

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arxiv_id, observed 2026-05-24T02:15:55.450710Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-24T02:15:05.379583Z digest=sha256:d3a663c9dc607236c0806561e8672c12227b1b98b7a62521436261691dcd242d

Observation f346517d-32f3-4f15-8803-6cd5300195ca · inbound

Zero-Indexing Internet Search Augmented Generation for Large Language Models cites this paper.

Zero-Indexing Internet Search Augmented Generation for Large Language Models DRAGIN: Dynamic Retrieval Augmented Generation based on the Information Needs of Large Language Models

Reference 40

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no resolver link, observed 2026-08-12T10:12:54.164597Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T10:12:54.164597Z digest=sha256:5487d332df5b91cca9c2d798575f05a8cfc6c94d829c3164d6c1bc5a829ae7f3

Observation dcbfb34b-34fb-44df-be4e-35628d5d8379 · inbound

Enhancing LLMs for Impression Generation in Radiology Reports through a Multi-Agent System cites this paper.

Enhancing LLMs for Impression Generation in Radiology Reports through a Multi-Agent System DRAGIN: Dynamic Retrieval Augmented Generation based on the Information Needs of Large Language Models

Reference 24

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no resolver link, observed 2026-08-11T20:47:34.944740Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T20:47:34.944740Z digest=sha256:c2b15a124f042c35b26e14887c71fa1b50720822ba40b0f296753c4446141e3f

Observation abe77950-bade-4011-a56f-2150f5cfeffc · inbound

Adaptive Retrieval Without Self-Knowledge? Bringing Uncertainty Back Home cites this paper.

Adaptive Retrieval Without Self-Knowledge? Bringing Uncertainty Back Home DRAGIN: Dynamic Retrieval Augmented Generation based on the Information Needs of Large Language Models

Reference 43

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no resolver link, observed 2026-08-10T16:49:52.354932Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T16:49:52.354932Z digest=sha256:9768cbf1bb7fc11829b32a76ea657be49a6595fa447e9b655b5fb79fba0ba07d

Observation f52899ed-40b7-4e1d-8e73-34ed5766dab4 · inbound

RbFT: Robust Fine-tuning for Retrieval-Augmented Generation against Retrieval Defects cites this paper.

RbFT: Robust Fine-tuning for Retrieval-Augmented Generation against Retrieval Defects DRAGIN: Dynamic Retrieval Augmented Generation based on the Information Needs of Large Language Models

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-09T23:48:54.022147Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T23:48:54.022147Z digest=sha256:3da870717b6e3cd82d08fd36ab887d4e58782d291661ac9b40f0c0d919cb968b

Observation 77895bd3-6fc0-4a0f-b4fe-2b6dd9218827 · inbound

MedRAG: Enhancing Retrieval-augmented Generation with Knowledge Graph-Elicited Reasoning for Healthcare Copilot cites this paper.

MedRAG: Enhancing Retrieval-augmented Generation with Knowledge Graph-Elicited Reasoning for Healthcare Copilot DRAGIN: Dynamic Retrieval Augmented Generation based on the Information Needs of Large Language Models

Reference 54

Resolution
unresolved
no resolver link, observed 2026-08-08T23:56:16.927157Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T23:56:16.927157Z digest=sha256:ffe94929433995102164a87d4459792d20ba6a0af73360de5bd4b066be4bf6bb

Observation b87e675d-0c7a-4bf3-b997-ef4ef5cccd94 · inbound

Context-Guided Dynamic Retrieval for Improving Generation Quality in RAG Models cites this paper.

Context-Guided Dynamic Retrieval for Improving Generation Quality in RAG Models DRAGIN: Dynamic Retrieval Augmented Generation based on the Information Needs of Large Language Models

Reference 2

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no resolver link, observed 2026-08-16T05:56:22.272411Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T05:56:22.272411Z digest=sha256:8d2855991df6f751e1633340212ca7e3ca080a5aaa737d5d3330a4b79615b4ce

Observation 6065bb44-06a4-4d3e-bbf8-25c097ce3960 · inbound

DynamicRAG: Leveraging Outputs of Large Language Model as Feedback for Dynamic Reranking in Retrieval-Augmented Generation cites this paper.

DynamicRAG: Leveraging Outputs of Large Language Model as Feedback for Dynamic Reranking in Retrieval-Augmented Generation DRAGIN: Dynamic Retrieval Augmented Generation based on the Information Needs of Large Language Models

Reference 57

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no resolver link, observed 2026-08-15T22:27:09.657806Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:27:09.657806Z digest=sha256:d21f4e4cd0819a6d02c2d6344019e1d5089f523f8eacd02a396b3540583cd5da

Observation 77c7d48a-d306-40fc-b615-99ba749824ba · inbound

Accelerating Adaptive Retrieval Augmented Generation via Instruction-Driven Representation Reduction of Retrieval Overlaps cites this paper.

Accelerating Adaptive Retrieval Augmented Generation via Instruction-Driven Representation Reduction of Retrieval Overlaps DRAGIN: Dynamic Retrieval Augmented Generation based on the Information Needs of Large Language Models

Reference 36

Resolution
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no resolver link, observed 2026-08-15T20:31:59.061050Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T20:31:59.061050Z digest=sha256:5f4ea85c6e861154e610d7a2e54de76a30abe16d24bf8560bc24475dcfc4b4e8

Observation 9f20aee2-8ca1-4e48-9aa1-8f56585a3cdc · inbound

Reasoning with RAGged events: RAG-Enhanced Event Knowledge Base Construction and reasoning with proof-assistants cites this paper.

Reasoning with RAGged events: RAG-Enhanced Event Knowledge Base Construction and reasoning with proof-assistants DRAGIN: Dynamic Retrieval Augmented Generation based on the Information Needs of Large Language Models

Reference 29

Resolution
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no resolver link, observed 2026-08-07T05:46:29.781248Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:46:29.781248Z digest=sha256:b2ea615bf8871911fa8e5afd9f386a60c4e950e3080e2629bd63d1699b6644fc

Observation 11726fce-96ee-470e-b29d-4cf9ce4c43f0 · inbound

Maximally-Informative Retrieval for State Space Model Generation cites this paper.

Maximally-Informative Retrieval for State Space Model Generation DRAGIN: Dynamic Retrieval Augmented Generation based on the Information Needs of Large Language Models

Reference 27

Resolution
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no resolver link, observed 2026-08-07T01:03:46.550391Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T01:03:46.550391Z digest=sha256:8de706e4c80843743b8c9b0f3d88b135b519ff889e3d3e1b1ff5f026f6f800e8

Observation fa094e38-195e-4e5c-8621-9af6b0ebee0d · inbound

EraRAG: Efficient and Incremental Retrieval Augmented Generation for Growing Corpora cites this paper.

EraRAG: Efficient and Incremental Retrieval Augmented Generation for Growing Corpora DRAGIN: Dynamic Retrieval Augmented Generation based on the Information Needs of Large Language Models

Reference 32

Resolution
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no resolver link, observed 2026-08-06T22:44:02.147506Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:44:02.147506Z digest=sha256:12432bd034c85ec6a34e12c14019dc306da7e94f7c7fdbb6614de919522d7fc3

Observation f13ced0e-0ab0-4e09-a5da-64d6d12142c6 · inbound

ARAG: Agentic Retrieval Augmented Generation for Personalized Recommendation cites this paper.

ARAG: Agentic Retrieval Augmented Generation for Personalized Recommendation DRAGIN: Dynamic Retrieval Augmented Generation based on the Information Needs of Large Language Models

Reference 14

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no resolver link, observed 2026-08-06T22:18:41.385483Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:18:41.385483Z digest=sha256:7465dfff2740cc18a131541a654e521da45429293a6f74d9af91acff1d06a241

Observation e2a8edb9-cc1e-4bf2-8b9f-db0da7ae87d2 · inbound

LLM-based Question-Answer Framework for Sensor-driven HVAC System Interaction cites this paper.

LLM-based Question-Answer Framework for Sensor-driven HVAC System Interaction DRAGIN: Dynamic Retrieval Augmented Generation based on the Information Needs of Large Language Models

Reference 42

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no resolver link, observed 2026-08-06T19:43:59.805791Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:43:59.805791Z digest=sha256:bad89bec486b420d6e48e9b16cb2f5d67c94eb0d29b8a23b07be91c292db7ba8

Observation d0b3673b-8e53-46e7-8bc5-e1bfff3796f3 · inbound

AdaDocVQA: Adaptive Framework for Long Document Visual Question Answering in Low-Resource Settings cites this paper.

AdaDocVQA: Adaptive Framework for Long Document Visual Question Answering in Low-Resource Settings DRAGIN: Dynamic Retrieval Augmented Generation based on the Information Needs of Large Language Models

Reference 25

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no resolver link, observed 2026-08-05T19:02:49.988039Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T19:02:49.988039Z digest=sha256:f15d66a47a9d74acfce6f6c6beb0e58efffb1ebde2e35e867cea506300b8251b

Observation 075df7d7-37d8-44ad-b109-f5790859efa2 · inbound

Retrieval Feedback Memory Enhancement Large Model Retrieval Generation Method cites this paper.

Retrieval Feedback Memory Enhancement Large Model Retrieval Generation Method DRAGIN: Dynamic Retrieval Augmented Generation based on the Information Needs of Large Language Models

Reference 27

Resolution
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no resolver link, observed 2026-08-05T16:50:56.330267Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T16:50:56.330267Z digest=sha256:2f9fb50c73b03627718fbf9968ef0617b41e35d38223d4de063880a7a9a7e6db

Observation 25180203-9bab-4e9c-94b3-a2364c1aa204 · inbound

GOSU: Retrieval-Augmented Generation with Global-Level Optimized Semantic Unit-Centric Framework cites this paper.

GOSU: Retrieval-Augmented Generation with Global-Level Optimized Semantic Unit-Centric Framework DRAGIN: Dynamic Retrieval Augmented Generation based on the Information Needs of Large Language Models

Reference 61

Resolution
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no resolver link, observed 2026-08-05T13:36:42.283595Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T13:36:42.283595Z digest=sha256:bce5cb9590ef91bb6d37292fefb754904c453bbc1694cc8846d331880f53ed4e

Observation 52a5d16f-8a51-4099-a1ce-22232d4a4b7b · inbound

Question-Adaptive Graph Learning for Multi-hop Retrieval Augmented Generation cites this paper.

Question-Adaptive Graph Learning for Multi-hop Retrieval Augmented Generation DRAGIN: Dynamic Retrieval Augmented Generation based on the Information Needs of Large Language Models

Reference 23

Resolution
verified exact
arxiv_id, observed 2026-05-18T07:12:27.107271Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-18T07:11:48.249136Z digest=sha256:e447ae837872b1491f812be13c35a8123c3e333b1ae6a3f6a3ada7f143000952

Observation 9994adb6-e234-4f1a-946f-c0964c669423 · inbound

CogEvo-Edu: Cognitive Evolution Educational Multi-Agent Collaborative System cites this paper.

CogEvo-Edu: Cognitive Evolution Educational Multi-Agent Collaborative System DRAGIN: Dynamic Retrieval Augmented Generation based on the Information Needs of Large Language Models

Reference 8

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no resolver link, observed 2026-08-03T19:31:06.253227Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T19:31:06.253227Z digest=sha256:45391e951bad74f75b5de8087263bab835a1c2a247200cd62a8b9c17c5d10ffd

Observation a57485fd-c763-4d24-aca8-c80aab7ebf60 · inbound

AugServe: Adaptive Request Scheduling for Augmented Large Language Model Inference Serving cites this paper.

AugServe: Adaptive Request Scheduling for Augmented Large Language Model Inference Serving DRAGIN: Dynamic Retrieval Augmented Generation based on the Information Needs of Large Language Models

Reference 33

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no resolver link, observed 2026-08-03T18:43:31.398999Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T18:43:31.398999Z digest=sha256:c1cf99b409218e30afc9acea4ec0b2f5e9b3e01983a6745ea4125bb775632050

Observation f790de0c-9d51-4efc-a43e-a5a1f15714f2 · inbound

In Line with Context: Repository-Level Code Generation via Context Inlining cites this paper.

In Line with Context: Repository-Level Code Generation via Context Inlining DRAGIN: Dynamic Retrieval Augmented Generation based on the Information Needs of Large Language Models

Reference 59

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arxiv_id, observed 2026-05-16T18:08:12.817774Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-16T18:04:56.915339Z digest=sha256:d71340b89ad1acb867930efc29b1f89235e69922ca8379deeb9856f6b5e8a766

Observation 4cc7f907-fc59-4af4-a748-95360ceed67c · inbound

Understand and Accelerate Memory Processing Pipeline for Large Language Model Inference cites this paper.

Understand and Accelerate Memory Processing Pipeline for Large Language Model Inference DRAGIN: Dynamic Retrieval Augmented Generation based on the Information Needs of Large Language Models

Reference 21

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arxiv_id, observed 2026-05-14T00:28:29.963788Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-14T00:25:49.807277Z digest=sha256:116c6d3d7f625799a3a82aba3f29b2a1f4e554e11b41064f25901a2e6e98ef78

Observation 4c92c991-2a57-4406-b034-9793087f5d97 · inbound

Adaptive Stopping for Multi-Turn LLM Reasoning cites this paper.

Adaptive Stopping for Multi-Turn LLM Reasoning DRAGIN: Dynamic Retrieval Augmented Generation based on the Information Needs of Large Language Models

Reference 26

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arxiv_id, observed 2026-05-13T22:23:21.303014Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-05-13T22:20:57.717657Z digest=sha256:512d2c0743336348880c26184c5bff16403ee12f935bd48d27d1202b808ebd79

Observation ae831438-5fa0-4fd6-bd12-e65b212a5351 · inbound

ECG Foundation Models and Medical LLMs for Agentic Cardiovascular Intelligence at the Edge: A Review and Outlook cites this paper.

ECG Foundation Models and Medical LLMs for Agentic Cardiovascular Intelligence at the Edge: A Review and Outlook DRAGIN: Dynamic Retrieval Augmented Generation based on the Information Needs of Large Language Models

Reference 151

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arxiv_id, observed 2026-05-13T20:28:14.207653Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-13T20:23:15.138933Z digest=sha256:3855db2eeefee301b36e8a4c16679a9b1fd4aa50a13dd6da77a971456464a5e8

Observation a2a39489-cf98-453b-8896-eec1d0c6aba3 · inbound

LLMs Should Express Uncertainty Explicitly cites this paper.

LLMs Should Express Uncertainty Explicitly DRAGIN: Dynamic Retrieval Augmented Generation based on the Information Needs of Large Language Models

Reference 8

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arxiv_id, observed 2026-05-10T22:10:48.080276Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-10T20:12:46.367760Z digest=sha256:99931a403ac2e42d65301bc6c4577387cd0710515b9c71e70b4bea9224d06b3d

Observation 9857c11e-c777-4a1c-9bf2-fd7040ce8a9f · inbound

LLMs Should Express Uncertainty Explicitly cites this paper.

LLMs Should Express Uncertainty Explicitly DRAGIN: Dynamic Retrieval Augmented Generation based on the Information Needs of Large Language Models

Reference 8

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arxiv_id, observed 2026-05-15T07:15:11.812022Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-15T07:11:39.471878Z digest=sha256:8062c232ed332f8ac20693c766c6708f4aed19646bd42921a35c1c21e4e72c56

Observation 432e02ed-12a0-425d-9490-de14a66a7cbb · inbound

Enhancing Judgment Document Generation via Agentic Legal Information Collection and Rubric-Guided Optimization cites this paper.

Enhancing Judgment Document Generation via Agentic Legal Information Collection and Rubric-Guided Optimization DRAGIN: Dynamic Retrieval Augmented Generation based on the Information Needs of Large Language Models

Reference 30

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verified exact
arxiv_id, observed 2026-05-11T16:26:06.740722Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-09T17:03:01.273990Z digest=sha256:2d9226382f9a30183767808ccc79c56fd7916ca6a87f28c86361911c763f79df

Observation 09d69ccb-3cd3-49a4-bbc9-0700b1baa631 · inbound

Trust or Abstain? A Self-Aware RAG Approach cites this paper.

Trust or Abstain? A Self-Aware RAG Approach DRAGIN: Dynamic Retrieval Augmented Generation based on the Information Needs of Large Language Models

Reference 23

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verified exact
arxiv_id, observed 2026-05-20T23:03:50.436740Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-20T23:02:58.671115Z digest=sha256:ae574856ae2c62f527c4f96546312bdaa2c769706ae168c6892a8414081d74d2

Observation b4804eec-2423-410c-b597-4dccfcad9074 · inbound

DuMate-DeepResearch: An Auditable Multi-Agent System with Recursive Search and Rubric-Grounded Reasoning cites this paper.

DuMate-DeepResearch: An Auditable Multi-Agent System with Recursive Search and Rubric-Grounded Reasoning DRAGIN: Dynamic Retrieval Augmented Generation based on the Information Needs of Large Language Models

Reference 19

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verified exact
arxiv_id, observed 2026-07-02T17:27:14.768531Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-06-27T22:04:37.766752Z digest=sha256:e559e9d9e0f0b01ac812f12f545a47e93368ed0e5a05296f9acab12ffb7a7999

Observation 045552a7-ce85-47b0-9a93-7b3b0c722174 · inbound

MetaSyn: A Benchmark for LLM Agents on Meta-Analysis Articles from Nature Portfolio cites this paper.

MetaSyn: A Benchmark for LLM Agents on Meta-Analysis Articles from Nature Portfolio DRAGIN: Dynamic Retrieval Augmented Generation based on the Information Needs of Large Language Models

Reference 49

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arxiv_id, observed 2026-07-03T17:48:45.718348Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-06-27T03:48:51.497061Z digest=sha256:2667c349650e154c0c7793558c58e8ba5c06dfdf6de42c9f3042c36a9b644588

Observation d034536e-a495-4a6c-9d06-e1428a60c0c0 · inbound

MetaSyn: A Benchmark for LLM Agents on Meta-Analysis Articles from Nature Portfolio cites this paper.

MetaSyn: A Benchmark for LLM Agents on Meta-Analysis Articles from Nature Portfolio DRAGIN: Dynamic Retrieval Augmented Generation based on the Information Needs of Large Language Models

Reference 49

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arxiv_id, observed 2026-06-30T10:24:36.399908Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-06-30T10:23:03.764108Z digest=sha256:6b6d27a728a19b78b5f0d89e3f5e9203645be2a1ba94de42ab127db9c450fc22

Observation 46534e92-d077-40a8-a587-26d992b2f5c9 · inbound

MetaSyn: A Benchmark for LLM Agents on Meta-Analysis Articles from Nature Portfolio cites this paper.

MetaSyn: A Benchmark for LLM Agents on Meta-Analysis Articles from Nature Portfolio DRAGIN: Dynamic Retrieval Augmented Generation based on the Information Needs of Large Language Models

Reference 39

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verified exact
arxiv_id, observed 2026-07-02T22:07:25.713691Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-07-02T22:05:37.948336Z digest=sha256:78b91d8884f54ecde4b0cf55762ee4dc0bc91f33cd474095daac91f41249030c

Observation f4b798e5-e785-472a-8384-241a6c83765f · inbound

MetaSyn: A Benchmark for LLM Agents on Meta-Analysis Articles from Nature Portfolio cites this paper.

MetaSyn: A Benchmark for LLM Agents on Meta-Analysis Articles from Nature Portfolio DRAGIN: Dynamic Retrieval Augmented Generation based on the Information Needs of Large Language Models

Reference 39

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unresolved
no resolver link, observed 2026-08-02T11:08:48.107957Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T11:08:48.107957Z digest=sha256:3d481fa33ad3f3783ad44b6d2b4401b04abe297943df0bb7d68a2018ca274b56

Observation 14f6af2a-506d-417f-b251-994913dc6e84 · inbound

MODE-RAG: Manifold Outlier Diagnosis and Energy-based Retrieval-Augmented Generation Evaluation cites this paper.

MODE-RAG: Manifold Outlier Diagnosis and Energy-based Retrieval-Augmented Generation Evaluation DRAGIN: Dynamic Retrieval Augmented Generation based on the Information Needs of Large Language Models

Reference 49

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arxiv_id, observed 2026-07-03T20:08:56.366528Z

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source=arxiv_source observed=2026-06-27T01:35:46.913390Z digest=sha256:4e971ad6761b094ca04c67214a69d31448e2fd9bae57fadc68281193d58ccd7a

Observation 1b6de2f5-6d9e-4b3e-969b-1c489adb30a8 · inbound

SAGE: SLO-Aware Adaptive Retrieval for Production RAG Systems cites this paper.

SAGE: SLO-Aware Adaptive Retrieval for Production RAG Systems DRAGIN: Dynamic Retrieval Augmented Generation based on the Information Needs of Large Language Models

Reference 15

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unresolved
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