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Paper Citation Record · LEDGER

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

As of 17 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:f29c5440e670fa56285e93da127965fbdc21d6d03955e7adb1ead3771f1e97e2

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=sha256:62e7155f9f1755142039ddb8cda9197d55bbe019880c080c8bb88bb1aac0c26a

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=sha256:9a3e549f0b172bdaccfb4a014b39754a40ed14896b1d2e415eaf213157d647f6

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:c05d19fd84a39541723d52c8ba1444aedae5ca3985e6da3d6ed1245a5c506e76

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=sha256:861b315d36c9e99e75a2cab47d1484f3a9f51181e0589793c79e368214fb6f07

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:d75863bc8bb3dfd91d07ff00138b80d2747e4f3846eace0f7794ed6d471c8e87

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=sha256:836a8846d69342e54d07c8117c5b73555ed7433ccec140ec47dca1bcf963e489

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

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T14:30:06.683865Z digest=sha256:858f7dc74d63738969e1efcbb7a5a3425b108411db18530dc74d910e9deaf748

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:ed68edc63d03cc421daa6d3152be48fa881dad425d577cc6c87c096b77660308

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=sha256:23ac02dd558855099bda9fca82ea0d9b1984d732284a8cf26b6e736054454b82

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:f2a4fcbb4ecd8d025d291577a6dd1ea7cd8cfd03a54375b53319f19759b769ec

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

Resolution
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:c50847b8bf5572195324217bf950ed3a24bb82792470fbd539b73392409f11eb

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
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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=sha256:418d973d005ab91ed116877629916cd9e70919bead0907d58b719181a4523137

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:b5a7df0641531012708fdc6dd08f1612b9dd4af60978f35d60b23904d5aacdc4

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=sha256:7d3b6c3f3b7fb3a20e14314de2f4748acf2c07d454ce329145a419c59b3555b0

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:d82a385bb7510289da32a28a5a21fb8e93395edf8fbcc48e494a205f01f9797c

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=sha256:44d0ddd6d9907226e169368c1cf78e768644a4ea66ead3a3379cac025b456e45

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

Resolution
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:c07986f94a86d5f7172db30b74ca05aa98cb827d6dcbbe31b091a8ce6b614961

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=sha256:98a01c99d7ac7438a3fc59bcddf3597659cb99fb8465342146e0e745bf956d20

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:ed038feb9e43f60d22812c2c17b26612631da1be5643bf878ba9b0a72719614b

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=sha256:4c0c451cd33fa075ad08cdbac14fbb35c475951d2224aac9d6b0723dc7366e43

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=sha256:477bd6f14e102844f971c5166d24692683061160c060d340ae7acbbb47b0b3cf

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

Resolution
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=sha256:7669bc3bb79f0220d0a90d1e2c7dc7089e3cffb7e002179ad416351f04d5323f

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=sha256:05b71e8b4576cb42d403620dba703d8e9f74b823582ab72ef0b9362256bf951c

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=sha256:119327c7f5470be27c6b8e17092afa75d6094c0d332fbbcdb0b9965ae4b7ecb3

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=sha256:083fc11fa1482854988e42498e8bc5c9be3a8eadeedc0c907821edb14eeffe87

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=sha256:7ace3a6f0ccffd719dd19403823ba4e72759a87d786b146537577354d52ac015

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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unresolved
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=sha256:1aa616b76f4a4e07c04ff8bb226b7b5f642cb6f92023578fb6cf860773118432

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=sha256:93f1e46ca32ce8e489f8f635e6fe370944341800ea79219a3bb730535db0b29f

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:c6937e7f97486d4cbbe38c493a347495501be826f7dffec175b71ca16a9813ca

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=sha256:936a4eb45dae1a70805e7a9f5180d215d64731feb021e0c4069ab00e3dd7ea44

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=sha256:7223e359e6f18ac413a0706f108207ce81a8348f9818cf8e0887cc3abae32006

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=sha256:918eae96c2b2e971df4c4d42978b7ebd85a5241ebcb70d97402a037de307cd82

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=sha256:108754c4129fd5181c9ca39b557c9001bc4c2b16f08073257a3425fb77eea369

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=sha256:3dbd60064a2f57f880ebd0e5f3a316890520dc573b026f1ed5a7f36739ab933e

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=sha256:3ec220882c7585b732402ef85a68470d60f67c87a9e5b8fbf8d8165347ed3354

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:d26b6d2d7aec88bdc530f2fcfd267b3d34ac7cfb7a87332f82aace0af8e075a4

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=sha256:834a3101654bfe77571dd4f69aa39347fd2620022de0e1e82d3e15d16835b00c

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:be2fe48b4280169c7dfa54eea394f779ff23804225344cd902a96151eb951492

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=sha256:86b7c7cfab61d46ad2062b249c5b2e92e328fc786448c3cabb24af0b71b1899d

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:be9d0f0c83c2cc365822351a392d0547e3c298a4db18c77a482fa9982dd9034b

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=sha256:02e351be04a668255cf0ef14fa4cc3e03ac28d344d8e5a7de3f9a539833013bb

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=sha256:73c7a0fdf073ef27d585f84515da6fe12a4cba7e4069b29d8d73a8e9f64a9e59