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Paper Citation Record · LEDGER

Enhancing Retrieval-Augmented Large Language Models with Iterative Retrieval-Generation Synergy

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 43 inbound Pith citation observations for arXiv:2305.15294.

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

pith.paper-citation-record.v1
2305.15294 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 43 of 43 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 43 of 43 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T11:18:45.043481Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

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External citation measurements

5
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 432ca0d1-054a-4d19-b77e-3bdd0c93d3c3 · inbound

ToRA: A Tool-Integrated Reasoning Agent for Mathematical Problem Solving cites this paper.

ToRA: A Tool-Integrated Reasoning Agent for Mathematical Problem Solving Enhancing Retrieval-Augmented Large Language Models with Iterative Retrieval-Generation Synergy

Reference 41

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verified exact
arxiv_id, observed 2026-05-19T09:19:36.012935Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-05-19T09:19:35.918151Z digest=sha256:58919c08f8db52e3019ab3ac8253a7b9fb4fad5cc92271d1ec4a4917264109c5

Observation 29bd235a-1b53-4080-8811-3fff9e9d7241 · inbound

A Survey on Hallucination in Large Language Models: Principles, Taxonomy, Challenges, and Open Questions cites this paper.

A Survey on Hallucination in Large Language Models: Principles, Taxonomy, Challenges, and Open Questions Enhancing Retrieval-Augmented Large Language Models with Iterative Retrieval-Generation Synergy

Reference 286

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verified exact
arxiv_id, observed 2026-05-13T02:47:07.700138Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-13T02:46:26.957539Z digest=sha256:44911dc0c100208045a3cac0e45e25d497c5e1fb477aed1803b56b2286931b25

Observation 10528ab1-8de9-4078-aa90-ced4ef9cba2c · inbound

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

Retrieval-Augmented Generation for Large Language Models: A Survey Enhancing Retrieval-Augmented Large Language Models with Iterative Retrieval-Generation Synergy

Reference 14

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arxiv_id, observed 2026-05-24T05:13:57.237550Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-24T05:10:25.171044Z digest=sha256:6868754feb8ae97b2818bc9205d02b7e405eb92cc0a8cd14b0f5779b464a7ecb

Observation 24e1e052-3524-4785-aed7-b7d1d5c2a996 · inbound

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

From Local to Global: A Graph RAG Approach to Query-Focused Summarization Enhancing Retrieval-Augmented Large Language Models with Iterative Retrieval-Generation Synergy

Reference 55

Resolution
verified exact
arxiv_id, observed 2026-05-11T05:10:57.925803Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-05-11T05:10:57.816312Z digest=sha256:e3f71f8b8bc802af7f583957c4afcb75bafd9b9cff0593a702206eccf56f55c6

Observation 35ecf999-b873-456c-9c85-52f46cd2ca6d · inbound

KG-Retriever: Efficient Knowledge Indexing for Retrieval-Augmented Large Language Models cites this paper.

KG-Retriever: Efficient Knowledge Indexing for Retrieval-Augmented Large Language Models Enhancing Retrieval-Augmented Large Language Models with Iterative Retrieval-Generation Synergy

Reference 14

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unresolved
no resolver link, observed 2026-08-11T20:39:41.023082Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T20:39:41.023082Z digest=sha256:008b02fae79020ce24270a8b98cbbb06804a2fa492f0eda3a1d479456401f0bb

Observation 76437f2f-2736-46e4-b53a-b2b7f23f874f · inbound

SLA Management in Reconfigurable Multi-Agent RAG: A Systems Approach to Question Answering cites this paper.

SLA Management in Reconfigurable Multi-Agent RAG: A Systems Approach to Question Answering Enhancing Retrieval-Augmented Large Language Models with Iterative Retrieval-Generation Synergy

Reference 23

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no resolver link, observed 2026-08-11T20:42:56.526101Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T20:42:56.526101Z digest=sha256:70e12dbfe3c16c239f6f411388c033b2016338c7a8470f2c29b16eba089ff13e

Observation 989c689e-ccee-4ae7-82c2-b25fc5b5c8cc · inbound

KnowShiftQA: How Robust are RAG Systems when Textbook Knowledge Shifts in K-12 Education? cites this paper.

KnowShiftQA: How Robust are RAG Systems when Textbook Knowledge Shifts in K-12 Education? Enhancing Retrieval-Augmented Large Language Models with Iterative Retrieval-Generation Synergy

Reference 50

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no resolver link, observed 2026-08-11T17:25:59.454090Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T17:25:59.454090Z digest=sha256:9d7822f749bed79ecd6489287b27a92df304c7e01f375970e9ec1fef21a823a0

Observation 7a77bd87-4601-408a-8967-dc01e8603423 · inbound

RetroLLM: Empowering Large Language Models to Retrieve Fine-grained Evidence within Generation cites this paper.

RetroLLM: Empowering Large Language Models to Retrieve Fine-grained Evidence within Generation Enhancing Retrieval-Augmented Large Language Models with Iterative Retrieval-Generation Synergy

Reference 44

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no resolver link, observed 2026-08-11T14:30:06.683865Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T14:30:06.683865Z digest=sha256:fdbef4fd2a7f5811c5db2261b76df1401152c0d3bb35c6153556071c56c51280

Observation be0ed03d-1965-4471-8787-df02f0db7c17 · inbound

Dehallucinating Parallel Context Extension for Retrieval-Augmented Generation cites this paper.

Dehallucinating Parallel Context Extension for Retrieval-Augmented Generation Enhancing Retrieval-Augmented Large Language Models with Iterative Retrieval-Generation Synergy

Reference 31

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no resolver link, observed 2026-08-11T11:52:04.067776Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T11:52:04.067776Z digest=sha256:bd006242b0eb277d117929caf55a32af81e30ae3ec4ee5287c569ad617e28aa1

Observation ca5137a6-9b50-404c-8214-f34d030fe4cb · inbound

ReARTeR: Retrieval-Augmented Reasoning with Trustworthy Process Rewarding cites this paper.

ReARTeR: Retrieval-Augmented Reasoning with Trustworthy Process Rewarding Enhancing Retrieval-Augmented Large Language Models with Iterative Retrieval-Generation Synergy

Reference 28

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no resolver link, observed 2026-08-10T20:35:59.494001Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T20:35:59.494001Z digest=sha256:5a783609ef75813a60e4e417b30d2508b21e2e640a40313d2c784160cc713994

Observation 64d8708a-b26b-4450-b019-238c7f6f9318 · inbound

FRAG: A Flexible Modular Framework for Retrieval-Augmented Generation based on Knowledge Graphs cites this paper.

FRAG: A Flexible Modular Framework for Retrieval-Augmented Generation based on Knowledge Graphs Enhancing Retrieval-Augmented Large Language Models with Iterative Retrieval-Generation Synergy

Reference 47

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no resolver link, observed 2026-08-10T19:35:35.376522Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T19:35:35.376522Z digest=sha256:fba9bfe090ce05092539a7feeaa25d0edf371128844aa5a20fae2858f9c4a7ef

Observation 6b26c39d-d4b9-496e-a29f-ca20b9578756 · inbound

IC-Cache: Efficient Large Language Model Serving via In-context Caching cites this paper.

IC-Cache: Efficient Large Language Model Serving via In-context Caching Enhancing Retrieval-Augmented Large Language Models with Iterative Retrieval-Generation Synergy

Reference 62

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unresolved
no resolver link, observed 2026-08-10T16:59:01.389424Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T16:59:01.389424Z digest=sha256:93592bca0d0d1ea0c2216d75076553cdef1a88323a3cd5e014a1ce1d7e33efde

Observation b093b0f0-4d51-48bb-bb27-36a76773c60e · inbound

Streaming Video Understanding and Multi-round Interaction with Memory-enhanced Knowledge cites this paper.

Streaming Video Understanding and Multi-round Interaction with Memory-enhanced Knowledge Enhancing Retrieval-Augmented Large Language Models with Iterative Retrieval-Generation Synergy

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-10T15:58:24.923963Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T15:58:24.923963Z digest=sha256:f2fcfe7376617781f4a4ae11dcd45fe7c3e6455aa3f279048c54c50b9663c762

Observation a08e9e65-e3a3-4464-936c-55f758411327 · inbound

A Comprehensive Survey on Integrating Large Language Models with Knowledge-Based Methods cites this paper.

A Comprehensive Survey on Integrating Large Language Models with Knowledge-Based Methods Enhancing Retrieval-Augmented Large Language Models with Iterative Retrieval-Generation Synergy

Reference 140

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no resolver link, observed 2026-08-10T18:35:00.490369Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T18:35:00.490369Z digest=sha256:d2e5209ce31b920048b78ec405819175df61a6d6b06bc7a870313ae9b45a5bf8

Observation 28ba1b26-9ec6-4382-9a9c-8fb07bb73a8b · inbound

A-MEM: Agentic Memory for LLM Agents cites this paper.

A-MEM: Agentic Memory for LLM Agents Enhancing Retrieval-Augmented Large Language Models with Iterative Retrieval-Generation Synergy

Reference 29

Resolution
verified exact
arxiv_id, observed 2026-05-11T00:47:28.947267Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-11T00:47:28.898112Z digest=sha256:276df6fb78ed4624141ad71df195a446f7b72a47aa7ceb24307fd62e7d39738f

Observation 1aa0e1fe-7f6e-4d0f-9f03-615b3b89e31f · inbound

R1-Searcher: Incentivizing the Search Capability in LLMs via Reinforcement Learning cites this paper.

R1-Searcher: Incentivizing the Search Capability in LLMs via Reinforcement Learning Enhancing Retrieval-Augmented Large Language Models with Iterative Retrieval-Generation Synergy

Reference 31

Resolution
verified exact
arxiv_id, observed 2026-05-13T18:37:17.770520Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-13T18:37:17.725984Z digest=sha256:e5fcaabbf9b9f98501347c9033bca762c8a70995b9455a99cf1358bb0ba9f075

Observation 9f413d49-5056-4c3b-b89a-f256d70280e2 · inbound

Synergizing RAG and Reasoning: A Systematic Review cites this paper.

Synergizing RAG and Reasoning: A Systematic Review Enhancing Retrieval-Augmented Large Language Models with Iterative Retrieval-Generation Synergy

Reference 68

Resolution
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no resolver link, observed 2026-08-16T11:18:45.043481Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:18:45.043481Z digest=sha256:dcae99dd655765be76235218137a6fe2006e0e9d0a7cb031310ff86cf52d873f

Observation bc34dd46-3ebb-4d69-8536-d855b0d2f2ad · inbound

R1-Searcher++: Incentivizing the Dynamic Knowledge Acquisition of LLMs via Reinforcement Learning cites this paper.

R1-Searcher++: Incentivizing the Dynamic Knowledge Acquisition of LLMs via Reinforcement Learning Enhancing Retrieval-Augmented Large Language Models with Iterative Retrieval-Generation Synergy

Reference 27

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no resolver link, observed 2026-08-07T14:55:16.591056Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:55:16.591056Z digest=sha256:19212477c02d07b6b518acb8a1775509d7d50e4bb55336edb8ab9f712f6024e7

Observation 5723cd8b-a28d-4dac-905e-c07f1810dd56 · inbound

LeTS: Learning to Think-and-Search via Process-and-Outcome Reward Hybridization cites this paper.

LeTS: Learning to Think-and-Search via Process-and-Outcome Reward Hybridization Enhancing Retrieval-Augmented Large Language Models with Iterative Retrieval-Generation Synergy

Reference 28

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unresolved
no resolver link, observed 2026-08-07T14:51:06.155759Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:51:06.155759Z digest=sha256:9ed4b6a1cd0671a5204e04dc2f2d48399c32c9c053d85b7610d819314070f5fb

Observation ae7937e5-6bdb-4bd4-a6b4-8e54770d42a6 · inbound

Mixture-of-Retrieval Experts for Reasoning-Guided Multimodal Knowledge Exploitation cites this paper.

Mixture-of-Retrieval Experts for Reasoning-Guided Multimodal Knowledge Exploitation Enhancing Retrieval-Augmented Large Language Models with Iterative Retrieval-Generation Synergy

Reference 29

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verified exact
arxiv_id, observed 2026-05-19T13:52:19.950790Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-19T13:50:30.090068Z digest=sha256:88cbfad1ccdc95ebb3f56874589275183aec803341966a06cd3b2c39fa264671

Observation d9e6a02f-bae6-4a8a-a99d-30a3196190bb · inbound

From Standalone LLMs to Integrated Intelligence: A Survey of Compound Al Systems cites this paper.

From Standalone LLMs to Integrated Intelligence: A Survey of Compound Al Systems Enhancing Retrieval-Augmented Large Language Models with Iterative Retrieval-Generation Synergy

Reference 154

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verified exact
arxiv_id, observed 2026-05-19T11:52:16.421708Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-19T11:49:36.574471Z digest=sha256:bb0e62291baa8a4df1760c681bca348d1edf6032899ce0c9378166c4ae88f34f

Observation 455b8e63-cf30-49b1-bd93-3405b5d78615 · inbound

KnowCoder-V2: Deep Knowledge Analysis cites this paper.

KnowCoder-V2: Deep Knowledge Analysis Enhancing Retrieval-Augmented Large Language Models with Iterative Retrieval-Generation Synergy

Reference 29

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malformed identifier
no resolver link, observed 2026-08-07T05:51:44.566363Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:51:44.566363Z digest=sha256:57133a1ad7ea59fa6e2e781e38dcddcb9eaba657807f49e65a09f49211ef4941

Observation 028aeb9c-6a8d-4c19-b596-7772ec9390e5 · inbound

MMSearch-R1: Incentivizing LMMs to Search cites this paper.

MMSearch-R1: Incentivizing LMMs to Search Enhancing Retrieval-Augmented Large Language Models with Iterative Retrieval-Generation Synergy

Reference 54

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verified exact
arxiv_id, observed 2026-05-16T15:27:04.288985Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-16T15:27:04.228144Z digest=sha256:06b62dcb45ae1433a433a3ea0d14a9232228f028a1fa673546f195a688699746

Observation 9286b8cf-216c-44e1-a099-330ee8571f91 · inbound

Question Decomposition for Retrieval-Augmented Generation cites this paper.

Question Decomposition for Retrieval-Augmented Generation Enhancing Retrieval-Augmented Large Language Models with Iterative Retrieval-Generation Synergy

Reference 29

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no resolver link, observed 2026-08-06T21:23:22.150044Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T21:23:22.150044Z digest=sha256:08ca87e666815737c449a2470b77bbf2713820fe0d38a23cddd09b42925a2583

Observation 44b8da4f-440f-4de6-a303-364d8ba23a69 · inbound

Shifting from Ranking to Set Selection for Retrieval Augmented Generation cites this paper.

Shifting from Ranking to Set Selection for Retrieval Augmented Generation Enhancing Retrieval-Augmented Large Language Models with Iterative Retrieval-Generation Synergy

Reference 19

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no resolver link, observed 2026-08-06T18:57:33.618591Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:57:33.618591Z digest=sha256:52a2520f74471de5abc6afb15db2cd04d88d652a93a4778d2869695e104a15f1

Observation cb660238-33fa-4917-9b19-9f2ada3fb904 · inbound

HedraRAG: Coordinating LLM Generation and Database Retrieval in Heterogeneous RAG Serving cites this paper.

HedraRAG: Coordinating LLM Generation and Database Retrieval in Heterogeneous RAG Serving Enhancing Retrieval-Augmented Large Language Models with Iterative Retrieval-Generation Synergy

Reference 59

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no resolver link, observed 2026-08-06T18:08:40.634695Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:08:40.634695Z digest=sha256:357f4de7e9f6dc81762fd1b37b09701ed051654a9bb4769fcb93e3f51989a317

Observation 69a51d37-7556-43fa-84f7-ec9f91ab812d · inbound

MetaAgent: Toward Self-Evolving Agent via Tool Meta-Learning cites this paper.

MetaAgent: Toward Self-Evolving Agent via Tool Meta-Learning Enhancing Retrieval-Augmented Large Language Models with Iterative Retrieval-Generation Synergy

Reference 22

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no resolver link, observed 2026-08-06T10:17:13.646996Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T10:17:13.646996Z digest=sha256:fb8f9fd30f9fecc55494cf07ba12e9106823755348ae7366e2b157ea1b3888c9

Observation 9ea2fe81-f47b-4c1a-ba54-49823953e87b · inbound

Diverse And Private Synthetic Datasets Generation for RAG evaluation: A multi-agent framework cites this paper.

Diverse And Private Synthetic Datasets Generation for RAG evaluation: A multi-agent framework Enhancing Retrieval-Augmented Large Language Models with Iterative Retrieval-Generation Synergy

Reference 19

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no resolver link, observed 2026-08-05T16:07:57.786075Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T16:07:57.786075Z digest=sha256:85e117efbfed02969f289f00c6ee040ac4318447e221325292ae0169f74626ce

Observation c26cb324-9f08-4cdb-8ba1-529a5484dd71 · 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 Enhancing Retrieval-Augmented Large Language Models with Iterative Retrieval-Generation Synergy

Reference 57

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unresolved
no resolver link, observed 2026-08-05T13:36:41.781486Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T13:36:41.781486Z digest=sha256:921fa7a5a09a64a3fc0e08924da2ef92e2ef5453c990bba36ab423dc0da71091

Observation 23b6f1e1-6ede-4ed1-9829-5ad8e6658854 · inbound

A Survey on Retrieval And Structuring Augmented Generation with Large Language Models cites this paper.

A Survey on Retrieval And Structuring Augmented Generation with Large Language Models Enhancing Retrieval-Augmented Large Language Models with Iterative Retrieval-Generation Synergy

Reference 237

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no resolver link, observed 2026-08-15T15:56:22.041580Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T15:56:22.041580Z digest=sha256:5f49897d408f806c7a0c60aec9fe510be70313ec035a6a3aa114f4d1d49f4c69

Observation abebb559-8e5a-46bd-b8fb-c5038a4bc0ae · inbound

When Iterative RAG Beats Ideal Evidence: A Diagnostic Study in Scientific Multi-hop Question Answering cites this paper.

When Iterative RAG Beats Ideal Evidence: A Diagnostic Study in Scientific Multi-hop Question Answering Enhancing Retrieval-Augmented Large Language Models with Iterative Retrieval-Generation Synergy

Reference 24

Resolution
verified exact
arxiv_id, observed 2026-05-16T10:32:44.959961Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-16T10:31:04.987672Z digest=sha256:13cb8eee6c9d11bc6ac5fb090dd86014a270f8b22016e6281ab2937239d38016

Observation a5c76300-046e-4b61-aa9c-8f08f36951b7 · inbound

When Iterative RAG Beats Ideal Evidence: A Diagnostic Study in Scientific Multi-hop Question Answering cites this paper.

When Iterative RAG Beats Ideal Evidence: A Diagnostic Study in Scientific Multi-hop Question Answering Enhancing Retrieval-Augmented Large Language Models with Iterative Retrieval-Generation Synergy

Reference 24

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unresolved
no resolver link, observed 2026-08-03T07:36:16.093055Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T07:36:16.093055Z digest=sha256:99a6e4535f7a711fe49eb7bbcac2f155e25a41b7091fe4b2193395a7839faca8

Observation 2e335f2c-d89c-4958-8848-4d519209050a · inbound

Efficient Multi-round LLM Inference over Disaggregated Serving cites this paper.

Efficient Multi-round LLM Inference over Disaggregated Serving Enhancing Retrieval-Augmented Large Language Models with Iterative Retrieval-Generation Synergy

Reference 18

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unresolved
no resolver link, observed 2026-08-02T23:16:45.704349Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T23:16:45.704349Z digest=sha256:6196cdf2a61ba58f08c0c4ec6b5800036e6d675a0c38ae0ca0da9b315b7cc3d4

Observation 072f22fa-f82e-4464-a88f-a23df7d3fc67 · inbound

OASIS: On-Demand Hierarchical Event Memory for Streaming Video Reasoning cites this paper.

OASIS: On-Demand Hierarchical Event Memory for Streaming Video Reasoning Enhancing Retrieval-Augmented Large Language Models with Iterative Retrieval-Generation Synergy

Reference 40

Resolution
verified exact
arxiv_id, observed 2026-05-10T06:56:47.746255Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-10T06:51:52.861981Z digest=sha256:3399ed0ff1a0553cfb6273814b5733c8ccf1f606ad32785eb46950dc04b91a04

Observation 1933229d-b2f3-4c59-9a22-f52a01ee4f2e · inbound

AtomicRAG: Atom-Entity Graphs for Retrieval-Augmented Generation cites this paper.

AtomicRAG: Atom-Entity Graphs for Retrieval-Augmented Generation Enhancing Retrieval-Augmented Large Language Models with Iterative Retrieval-Generation Synergy

Reference 31

Resolution
verified exact
arxiv_id, observed 2026-05-16T03:47:15.135093Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-05-16T03:43:36.163220Z digest=sha256:16520aff7f44a1fae74ff92d312e8b1a9f246362c414b64d450f8757632e9518

Observation e305ea8f-116a-4f7a-83fc-bd8270c1252d · inbound

Why Retrieval-Augmented Generation Fails: A Graph Perspective cites this paper.

Why Retrieval-Augmented Generation Fails: A Graph Perspective Enhancing Retrieval-Augmented Large Language Models with Iterative Retrieval-Generation Synergy

Reference 37

Resolution
verified exact
arxiv_id, observed 2026-05-15T04:49:44.259897Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-15T04:47:44.904830Z digest=sha256:383b9b1bf124467b3bfc1012aef0e9883e904f72b1dbd883a29ab9cb2f1e0b4c

Observation 5ae2b49a-7728-4fc0-bce1-ea2bc4750f7d · inbound

Reliable Post-Retrieval Assembly for Agent Memory: Separating Evidence Extraction from Policy Execution cites this paper.

Reliable Post-Retrieval Assembly for Agent Memory: Separating Evidence Extraction from Policy Execution Enhancing Retrieval-Augmented Large Language Models with Iterative Retrieval-Generation Synergy

Reference 3

Resolution
verified exact
arxiv_id, observed 2026-06-28T17:02:24.395101Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-06-28T16:56:43.443765Z digest=sha256:9cecf56096a3b934f7e582b116ae253089eb6e2435208646cbbecba7b2db8da2

Observation b2f5163d-98c2-4497-b8bf-f2d971d2b967 · inbound

Reliable Post-Retrieval Assembly for Agent Memory: Separating Evidence Extraction from Policy Execution cites this paper.

Reliable Post-Retrieval Assembly for Agent Memory: Separating Evidence Extraction from Policy Execution Enhancing Retrieval-Augmented Large Language Models with Iterative Retrieval-Generation Synergy

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-04T04:57:15.892583Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T04:57:15.892583Z digest=sha256:2dd70e3218f267954924ad68fe40f7bf3653bb8070d3a257a6054c9bb8973acd

Observation d938a215-091f-484a-95af-4fcffb67313a · inbound

FlowRAG: Synergizing Explicit Reasoning via Frequency-Aware Multi-Granularity Graph Flow cites this paper.

FlowRAG: Synergizing Explicit Reasoning via Frequency-Aware Multi-Granularity Graph Flow Enhancing Retrieval-Augmented Large Language Models with Iterative Retrieval-Generation Synergy

Reference 29

Resolution
metadata mismatch
arxiv_id, observed 2026-07-03T21:28:58.863533Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-06-27T00:32:36.540334Z digest=sha256:b62edbc6e1f89b3384788259abd85f3b1ec5369beb3314ae1b1d7ad75c89e383

Observation 3e36b5d9-9e14-4f1b-a449-7960412be825 · inbound

Carolina Guide: A Multi-Agent RAG System with Institutional Guardrails for Academic Policy Assistance cites this paper.

Carolina Guide: A Multi-Agent RAG System with Institutional Guardrails for Academic Policy Assistance Enhancing Retrieval-Augmented Large Language Models with Iterative Retrieval-Generation Synergy

Reference 19

Resolution
verified exact
arxiv_id, observed 2026-06-30T11:14:37.503488Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-06-30T11:13:23.740219Z digest=sha256:7cfb19af862a6ea1425f2785893a9c557c01068c7453eea32adac8c0bb91ce0e

Observation 3d2986e4-a7e4-4e96-8c96-dc62c3e5dc90 · inbound

SearchOS-V1: Towards Robust Open-Domain Information-Seeking Agent Collaboration cites this paper.

SearchOS-V1: Towards Robust Open-Domain Information-Seeking Agent Collaboration Enhancing Retrieval-Augmented Large Language Models with Iterative Retrieval-Generation Synergy

Reference 64

Resolution
unresolved
no resolver link, observed 2026-08-01T23:46:21.653394Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T23:46:21.653394Z digest=sha256:8d31aab3440aa07706328e9efa94e08bb6e3825703e13037cae402921b650dfc

Observation ceea601d-c181-4dfb-b440-2bd903a43663 · inbound

Fishing Out Free Riders: Shapley-Based Reward Attribution for Parallel Reasoning via Reinforcement Learning cites this paper.

Fishing Out Free Riders: Shapley-Based Reward Attribution for Parallel Reasoning via Reinforcement Learning Enhancing Retrieval-Augmented Large Language Models with Iterative Retrieval-Generation Synergy

Reference 94

Resolution
unresolved
no resolver link, observed 2026-08-01T13:54:25.234002Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T13:54:25.234002Z digest=sha256:f645721d50412517696982eeb394d9ece48c436449d9d26c28ba5982c8d28e71

Observation c608768e-d442-4cd0-80e2-f32c6f54e66c · inbound

Structure then Query: Enabling Precise Analytical Queries over Unstructured Documents cites this paper.

Structure then Query: Enabling Precise Analytical Queries over Unstructured Documents Enhancing Retrieval-Augmented Large Language Models with Iterative Retrieval-Generation Synergy

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-14T12:25:17.964085Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T12:25:17.964085Z digest=sha256:f38597cbced5f77275f379611601540f88c76aab7b5eada90e7702b725d5a8ef