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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 2026-08-18T06:34:40.430872+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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-05-19T09:19:35.918151Z digest=sha256:57a39aa7eb6b6ce56fad4e9579090d545829a70288a5b91d708a144773e0f1f6

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-13T02:46:26.957539Z digest=sha256:2380cdaf32bc81ba0d531962465a98caceb7030232b6e53ec4561f7ddf4e5ca4

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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verified exact
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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-24T05:10:25.171044Z digest=sha256:39a3b57e6d3a4fa82f71f80cd6aaa88038d26d02a60901aad5f9ee0ddd888495

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

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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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-05-11T05:10:57.816312Z digest=sha256:c20a0054b95452f4ede0651c99ab2a327919ed3fee58efba809f40ca8c14445d

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:ac0bdaf64f7db36d0e1930d73aa9c87ad611cb0f24969d8656527f9ec8aed824

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:cc47ca5aca39e9fbb228894aa6cc79f8a87b2a6dfbcf5956d2dadb11a3c8b37d

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=sha256:85b0bf3f3074a35d0d13b6607afa17c67809f94f5e05eefb21c22f09990a7ccf

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:a9069cbac7d5ab4719e6bcc222c3613f4df614f9b7e1c9828bcef05c676ce2e1

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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unresolved
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=sha256:326aa2595ffd0259fed0fb969315a7b75bd7cf25b8182ae1243e5c31cb7597c5

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:efb95091d302204b5102d5f102f11166f375bed2fadc04cdfa640ed4ead2f70e

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=sha256:03da183710bf6923f2d6b8260989805023a5ec9c8b2a8c93e4e6fa10d6a02e36

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:c1d3611c25507ec41b470ce5b0acfdf241f99e7b744d83a7f0260916a0590598

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=sha256:706f426ac29ecc23868ef24f1703ae8d6c32b96f9a6416dcaa207903fe0615db

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

Resolution
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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=sha256:3485995b00fa8b1c07f8358b4c85855cc2d954a92f895a9dd6237caf520a03e6

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-11T00:47:28.898112Z digest=sha256:27a8d308dc40edab987b0c6ae9ef94310c392e44670d113b4fb465c8d370a961

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-13T18:37:17.725984Z digest=sha256:8cfa1d81edad45779b0ded7e223b43f3b37abfde1f2e6484a7f05106568a8656

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

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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=sha256:99539258fa69e294f1fa45d985f8760069a77e455ceccf888076c01d44c6dffc

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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unresolved
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:b0bcf394e87ce81b69a4384adae3526b582e2d7b294d275a59b34cef36f4738e

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

Resolution
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=sha256:67fe6881a5bab3fbb241f8821b57c65e8f3c03dcf4fbfae89520e9b6a72cdf69

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-19T13:50:30.090068Z digest=sha256:9f0ef16fdd4591fc2c6665998723877eb4eb59f4e2ef637860887d8c00a1e31f

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

Resolution
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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-19T11:49:36.574471Z digest=sha256:98ff701b813e03b78519e71674b90980e4c8d12f1389fef6e6f25afd8ff87d0c

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=sha256:452d83ef11beb155bf798dbbe6089b727b87d5d459473687c433b3ba7789eef1

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-16T15:27:04.228144Z digest=sha256:c2ab4d70b949874f64255133b04168ada51053b4e54fb0e6cb3844b854201e76

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T21:23:22.150044Z digest=sha256:21a90e268c8f90003dc9362eed55d02192762d1c17b619b1162cd859600851a4

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:b26bc1ab146ccb4abdf6122b2ebd77e5ce39177194e599cf608f332964eb8c65

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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unresolved
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:a54c555d724302a8729e217299234566608c4e169f63e7ff64d107a8b0010b65

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:c09384be3e0bb3fe8093c3caf8f003f82d8b3a5eca14c45ebd71736b18b63d84

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:f323960a7b5dbfe8b9196d6fe931baf264ddffb6a5f769a9dc7da5e8df9d4e22

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=sha256:715ea547b03dafccbe2544ab406261dca6e62908242cb23dcfcd707b4a79726a

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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unresolved
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:ecd34c4f6d44c6ab83c0019590b450b7fc1e5e07a2e377dce3a6678dce918809

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-16T10:31:04.987672Z digest=sha256:803350d2e16be4a0c91c33c29ed1e010180c660d3d9ff4716859ae2b3b18762c

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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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=sha256:1ab07d0ceb1f0162fb3bc742719b2ec1f2b7f7f2387bccd73a150667a11a965c

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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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=sha256:58c0c9df8b0584b85f53f2bb6bafea93079809256c727f8099601486f8781f1c

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

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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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-10T06:51:52.861981Z digest=sha256:c094b3a668fd06089e1187b5ef05f3d2d9bd390481dd5b70970db14df3f73f78

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-05-16T03:43:36.163220Z digest=sha256:6e7b086494f33a6e2abb2c169b26506878405e6deb02bffb1f390851e9b6c96a

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-15T04:47:44.904830Z digest=sha256:520eb5aa6dace453768128c3bff4953b9a973584139c5ad9201cc639fef2263e

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-06-28T16:56:43.443765Z digest=sha256:a22783eea927b215daea3ded97440a7cef0bb864a321db8ab54cc3a006ab0158

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=sha256:38b1aa48fb8c35321823c16934297adbc216b8927aa92dde53dcef9a81d17876

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-06-27T00:32:36.540334Z digest=sha256:b488c60b3c6a0cd1c785918b3160884ba684c9be04df3aa8db7f3a3e5b946d43

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-06-30T11:13:23.740219Z digest=sha256:d91d2a99462a5a4fd924bc2e5b88a72ca9a8f3e934c5e35d6cbdb17f69ac43e0

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:a5f1e4f76533d91c70a882154c064541dfa6d3efb462b4932cf7fa212d53c5a5

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=sha256:7e89eef47af74bc12f30e403fbcaf3427afd501a9382d22efe8becf256065797

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:efd410fe40d13c54ad54036671d5fae567370f2befbb0f98ae879a94f8c33a9e