Paper Citation Record · LEDGER

Optimizing the Interface Between Knowledge Graphs and LLMs for Complex Reasoning

As of 18 August 2026, this Paper Citation Record lists 42 of 42 outbound references and 9 inbound Pith citation observations for arXiv:2505.24478.

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

pith.paper-citation-record.v1
2505.24478 v1

Coverage vector

measured 42 of 42 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:24:18.802896Z

measured 51 of 51 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 9 of 9 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T19:36:05.728667Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T17:09:59.351425Z

Reference resolution

42 of 42 outbound references displayed

verified exact0
verified fuzzy19
unresolved23
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 13b970ca-5ec4-4f1d-a599-47212dcd0e20 · outbound

This paper cites The Impact of Large Language Models on Scientific Discovery: a Preliminary Study using GPT-4.

Optimizing the Interface Between Knowledge Graphs and LLMs for Complex Reasoning The Impact of Large Language Models on Scientific Discovery: a Preliminary Study using GPT-4

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-07T12:24:15.383446Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7f7c3f8a-c4ea-4443-90ef-9d67223fc2b2 · outbound

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

Optimizing the Interface Between Knowledge Graphs and LLMs for Complex Reasoning Self-rag: Learning to retrieve, generate, and critique through self-reflection

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:24:21.432992Z

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.

Observation 1ddf2c30-4d09-48b0-ac33-6694f1967f6f · outbound

This paper cites Faster, Cheaper, Better: Multi-Objective Hyperparameter Optimization for LLM and RAG Systems.

Optimizing the Interface Between Knowledge Graphs and LLMs for Complex Reasoning Faster, Cheaper, Better: Multi-Objective Hyperparameter Optimization for LLM and RAG Systems

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-07T12:24:15.508597Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4e8e2b57-6643-4e89-8eef-fafe7868b77f · outbound

This paper cites Neural Legal Judgment Prediction in English.

Optimizing the Interface Between Knowledge Graphs and LLMs for Complex Reasoning Neural Legal Judgment Prediction in English

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-07T12:24:15.592462Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3468f81f-d668-451e-a5ab-19e42217a5b0 · outbound

This paper cites Improving Retrieval-Augmented Generation through Multi-Agent Reinforcement Learning.

Optimizing the Interface Between Knowledge Graphs and LLMs for Complex Reasoning Improving Retrieval-Augmented Generation through Multi-Agent Reinforcement Learning

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-07T12:24:15.657321Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 653020b7-5afe-4380-aaa1-c792bbb8d605 · outbound

This paper cites Complex Logical Reasoning over Knowledge Graphs using Large Language Models.

Optimizing the Interface Between Knowledge Graphs and LLMs for Complex Reasoning Complex Logical Reasoning over Knowledge Graphs using Large Language Models

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-07T12:24:15.698848Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e3eb510d-0c23-470d-afa1-c4f20985f876 · outbound

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

Optimizing the Interface Between Knowledge Graphs and LLMs for Complex Reasoning From Local to Global: A Graph RAG Approach to Query-Focused Summarization

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-07T12:24:15.791382Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 168a576e-ddf3-469b-b389-29f15ac2727b · outbound

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

Optimizing the Interface Between Knowledge Graphs and LLMs for Complex Reasoning A survey on rag meeting llms: Towards retrieval-augmented large language models

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:24:21.357766Z

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.

Observation 14d0529d-6641-49a6-868c-c94eac904311 · outbound

This paper cites AutoRAG-HP: Automatic Online Hyper-Parameter Tuning for Retrieval-Augmented Generation.

Optimizing the Interface Between Knowledge Graphs and LLMs for Complex Reasoning AutoRAG-HP: Automatic Online Hyper-Parameter Tuning for Retrieval-Augmented Generation

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-07T12:24:15.987843Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a7b54448-36d7-4a6a-8dfc-21757aea9973 · outbound

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

Optimizing the Interface Between Knowledge Graphs and LLMs for Complex Reasoning Retrieval-Augmented Generation for Large Language Models: A Survey

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-07T12:24:16.104342Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d36934c4-3c63-46c1-92c8-ac7bbe1b127a · outbound

This paper cites A Comprehensive Survey of Retrieval-Augmented Generation (RAG): Evolution, Current Landscape and Future Directions.

Optimizing the Interface Between Knowledge Graphs and LLMs for Complex Reasoning A Comprehensive Survey of Retrieval-Augmented Generation (RAG): Evolution, Current Landscape and Future Directions

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-07T12:24:16.174083Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2744a68d-46fc-46c5-9b5d-15c04255c481 · outbound

This paper cites Hipporag: Neurobiologically inspired long-term memory for large language models.

Optimizing the Interface Between Knowledge Graphs and LLMs for Complex Reasoning Hipporag: Neurobiologically inspired long-term memory for large language models

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:24:21.295255Z

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.

Observation e4c734d6-27ff-4373-b574-f69416052ff6 · outbound

This paper cites Retrieval augmented language model pre-training.

Optimizing the Interface Between Knowledge Graphs and LLMs for Complex Reasoning Retrieval augmented language model pre-training

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:24:21.232746Z

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.

Observation 72c44a39-afad-43ef-88a5-8b5a8dc1ae98 · outbound

This paper cites Retrieval-Augmented Generation with Graphs (GraphRAG).

Optimizing the Interface Between Knowledge Graphs and LLMs for Complex Reasoning Retrieval-Augmented Generation with Graphs (GraphRAG)

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-07T12:24:16.502163Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cb2fe11f-47e1-4d7d-a3aa-5788beec09e9 · outbound

This paper cites G-retriever: Retrieval-augmented generation for textual graph understanding and question answering.

Optimizing the Interface Between Knowledge Graphs and LLMs for Complex Reasoning G-retriever: Retrieval-augmented generation for textual graph understanding and question answering

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:24:21.130753Z

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.

Observation b6918372-803c-41a9-981e-114b841b3793 · outbound

This paper cites Constructing A Multi-hop QA Dataset for Comprehensive Evaluation of Reasoning Steps.

Optimizing the Interface Between Knowledge Graphs and LLMs for Complex Reasoning Constructing A Multi-hop QA Dataset for Comprehensive Evaluation of Reasoning Steps

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-07T12:24:16.677572Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 29d3fffd-0d56-4536-bd52-9d9718053f70 · outbound

This paper cites A survey on hallucination in large language models: Principles, taxonomy, challenges, and open questions.

Optimizing the Interface Between Knowledge Graphs and LLMs for Complex Reasoning A survey on hallucination in large language models: Principles, taxonomy, challenges, and open questions

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:24:21.040162Z

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.

Observation 09d65a32-0caf-4344-b9a8-8c67e77a417a · outbound

This paper cites Introducing a new hyper-parameter for RAG: Context Window Utilization.

Optimizing the Interface Between Knowledge Graphs and LLMs for Complex Reasoning Introducing a new hyper-parameter for RAG: Context Window Utilization

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-07T12:24:16.852973Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 976ca581-a21d-4f6a-bf93-24468deb30ab · outbound

This paper cites Knowledge Graphs, Large Language Models, and Hallucinations: An NLP Perspective.

Optimizing the Interface Between Knowledge Graphs and LLMs for Complex Reasoning Knowledge Graphs, Large Language Models, and Hallucinations: An NLP Perspective

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:24:20.991065Z

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.

Observation 9dd9e6d9-48f7-425d-a75a-729674dfebe5 · outbound

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

Optimizing the Interface Between Knowledge Graphs and LLMs for Complex Reasoning Retrieval-augmented generation for knowledge-intensive nlp tasks

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-07T12:24:17.057049Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b7df3a95-87d7-46a9-93f2-564b19cae85e · outbound

This paper cites The Dawn After the Dark: An Empirical Study on Factuality Hallucination in Large Language Models.

Optimizing the Interface Between Knowledge Graphs and LLMs for Complex Reasoning The Dawn After the Dark: An Empirical Study on Factuality Hallucination in Large Language Models

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-07T12:24:17.146987Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 65861c8d-207e-4a18-a465-dc6613b5c3a8 · outbound

This paper cites Reasoning on Graphs: Faithful and Interpretable Large Language Model Reasoning.

Optimizing the Interface Between Knowledge Graphs and LLMs for Complex Reasoning Reasoning on Graphs: Faithful and Interpretable Large Language Model Reasoning

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-07T12:24:17.191085Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 00f9c8f2-110f-469a-b766-744277affe30 · outbound

This paper cites When Not to Trust Language Models: Investigating Ef- fectiveness of Parametric and Non-Parametric Memories.

Optimizing the Interface Between Knowledge Graphs and LLMs for Complex Reasoning When Not to Trust Language Models: Investigating Ef- fectiveness of Parametric and Non-Parametric Memories

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:24:20.899670Z

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.

Observation fe7a1125-1416-423b-ba73-b89292065dbd · outbound

This paper cites Unifying large language models and knowledge graphs: A roadmap.

Optimizing the Interface Between Knowledge Graphs and LLMs for Complex Reasoning Unifying large language models and knowledge graphs: A roadmap

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:24:20.828056Z

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.

Observation b57a5a8f-ebe4-41f8-97c3-5a8b9727a356 · outbound

This paper cites Graph Retrieval-Augmented Generation: A Survey.

Optimizing the Interface Between Knowledge Graphs and LLMs for Complex Reasoning Graph Retrieval-Augmented Generation: A Survey

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-07T12:24:17.285998Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d53a9a2a-4f87-45e8-b897-943741a11f4c · outbound

This paper cites Language Models as Knowledge Bases?.

Optimizing the Interface Between Knowledge Graphs and LLMs for Complex Reasoning Language Models as Knowledge Bases?

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-07T12:24:17.337158Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 17ffbb01-9f3a-43d5-be5d-dc0c5a91fd26 · outbound

This paper cites How Much Knowledge Can You Pack Into the Parameters of a Language Model?.

Optimizing the Interface Between Knowledge Graphs and LLMs for Complex Reasoning How Much Knowledge Can You Pack Into the Parameters of a Language Model?

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-07T12:24:17.428871Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f6918fe1-2120-4680-af76-75ee7be95807 · outbound

This paper cites Toward expert-level medical question answering with large language models.

Optimizing the Interface Between Knowledge Graphs and LLMs for Complex Reasoning Toward expert-level medical question answering with large language models

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:24:20.775177Z

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.

Observation b75b0161-a6a3-493b-a1f5-dc42df55badf · outbound

This paper cites The Web as a Knowledge-base for Answering Complex Questions.

Optimizing the Interface Between Knowledge Graphs and LLMs for Complex Reasoning The Web as a Knowledge-base for Answering Complex Questions

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-07T12:24:17.571739Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d60689bb-0d9b-49cb-a55a-bbfb3403cc81 · outbound

This paper cites From Lou- vain to Leiden: guaranteeing well-connected communities.

Optimizing the Interface Between Knowledge Graphs and LLMs for Complex Reasoning From Lou- vain to Leiden: guaranteeing well-connected communities

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:24:20.697947Z

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.

Observation 22b16d43-7936-4bd3-885e-1df58a8bd070 · outbound

This paper cites MuSiQue: Multihop Questions via Single-hop Ques- tion Composition.

Optimizing the Interface Between Knowledge Graphs and LLMs for Complex Reasoning MuSiQue: Multihop Questions via Single-hop Ques- tion Composition

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:24:20.629069Z

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.

Observation 949562c3-cef3-4cc3-aa9b-1e29b9573dc3 · outbound

This paper cites Attention is all you need.

Optimizing the Interface Between Knowledge Graphs and LLMs for Complex Reasoning Attention is all you need

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:24:20.567554Z

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.

Observation 46123b5f-ed33-4cb4-9ce2-a0fdbb7876d3 · outbound

This paper cites Cost-effective hyperparameter optimization for large language model generation infer- ence.

Optimizing the Interface Between Knowledge Graphs and LLMs for Complex Reasoning Cost-effective hyperparameter optimization for large language model generation infer- ence

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:24:20.499373Z

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.

Observation 6935cda2-fb46-4dd2-ba85-21845a939417 · outbound

This paper cites Knowledge graph prompting for multi-document question answering.

Optimizing the Interface Between Knowledge Graphs and LLMs for Complex Reasoning Knowledge graph prompting for multi-document question answering

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:24:20.440262Z

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.

Observation d72ae51a-1b6f-41ba-a68c-72cf4ba3c543 · outbound

This paper cites BloombergGPT: A Large Language Model for Finance.

Optimizing the Interface Between Knowledge Graphs and LLMs for Complex Reasoning BloombergGPT: A Large Language Model for Finance

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-07T12:24:18.105079Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7c4c4ca7-5098-4e5a-8126-77db7d6b5885 · outbound

This paper cites Corrective retrieval augmented generation.

Optimizing the Interface Between Knowledge Graphs and LLMs for Complex Reasoning Corrective retrieval augmented generation

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:24:20.375628Z

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.

Observation d1df7672-1a54-4408-80bc-b4fb07a2f919 · outbound

This paper cites HotpotQA: A Dataset for Diverse, Explainable Multi-hop Question Answering.

Optimizing the Interface Between Knowledge Graphs and LLMs for Complex Reasoning HotpotQA: A Dataset for Diverse, Explainable Multi-hop Question Answering

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-07T12:24:18.261666Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2af00f6f-54a5-4490-a1f3-ddcc4df41b99 · outbound

This paper cites The value of semantic parse labeling for knowledge base question answering.

Optimizing the Interface Between Knowledge Graphs and LLMs for Complex Reasoning The value of semantic parse labeling for knowledge base question answering

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:24:20.180382Z

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.

Observation 11d6f940-e636-4097-a90e-87c56c88b3c3 · outbound

This paper cites Neural, symbolic and neural-symbolic reasoning on knowledge graphs.

Optimizing the Interface Between Knowledge Graphs and LLMs for Complex Reasoning Neural, symbolic and neural-symbolic reasoning on knowledge graphs

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:24:19.944000Z

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.

Observation 4e82ef37-86fd-45c0-a6e3-a5e100cda4e7 · outbound

This paper cites Subgraph Retrieval Enhanced Model for Multi-hop Knowledge Base Question Answering.

Optimizing the Interface Between Knowledge Graphs and LLMs for Complex Reasoning Subgraph Retrieval Enhanced Model for Multi-hop Knowledge Base Question Answering

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-07T12:24:18.586254Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 47e9bedb-7279-4a58-8b51-d5879210ac96 · outbound

This paper cites Variational reasoning for question answering with knowledge graph.

Optimizing the Interface Between Knowledge Graphs and LLMs for Complex Reasoning Variational reasoning for question answering with knowledge graph

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:24:19.773386Z

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.

Observation 927811b4-bd0b-4a9b-a46d-5cd5d03ea687 · outbound

This paper cites Retrieval-Augmented Generation for AI-Generated Content: A Survey.

Optimizing the Interface Between Knowledge Graphs and LLMs for Complex Reasoning Retrieval-Augmented Generation for AI-Generated Content: A Survey

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-07T12:24:18.802896Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation a78d5bc6-a3db-4831-9126-6a2abe05f783 · inbound

Evaluating Memory in LLM Agents via Incremental Multi-Turn Interactions cites this paper.

Evaluating Memory in LLM Agents via Incremental Multi-Turn Interactions Optimizing the Interface Between Knowledge Graphs and LLMs for Complex Reasoning

Reference 26

Resolution: verified exact; arxiv_id, observed 2026-05-16T21:20:22.244283Z

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.

Observation 9f1c333d-35f2-45ee-b8a8-c5a57b44463a · inbound

Evaluating Memory in LLM Agents via Incremental Multi-Turn Interactions cites this paper.

Evaluating Memory in LLM Agents via Incremental Multi-Turn Interactions Optimizing the Interface Between Knowledge Graphs and LLMs for Complex Reasoning

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-06T19:36:05.728667Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7fe4392a-810e-4295-8f6d-e1f826bb3582 · inbound

MIRIX: Multi-Agent Memory System for LLM-Based Agents cites this paper.

MIRIX: Multi-Agent Memory System for LLM-Based Agents Optimizing the Interface Between Knowledge Graphs and LLMs for Complex Reasoning

Reference 21

Resolution: verified exact; arxiv_id, observed 2026-05-15T05:57:52.792186Z

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.

Observation 0287cc32-91d3-449b-972d-9031ccf8cfcf · inbound

Improving Language Agents through BREW: Bootstrapping expeRientially-learned Environmental knoWledge cites this paper.

Improving Language Agents through BREW: Bootstrapping expeRientially-learned Environmental knoWledge Optimizing the Interface Between Knowledge Graphs and LLMs for Complex Reasoning

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-03T20:21:03.531366Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f4ff70b5-66de-4ac3-aa16-26c4290dbdb2 · inbound

Cost and Accuracy of Long-Term Memory in Distributed Multi-Agent Systems Based on Large Language Models cites this paper.

Cost and Accuracy of Long-Term Memory in Distributed Multi-Agent Systems Based on Large Language Models Optimizing the Interface Between Knowledge Graphs and LLMs for Complex Reasoning

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-03T11:01:43.496684Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3476a04a-dfbc-411e-9db3-7ceab32c51b1 · inbound

Are We Ready For An Agent-Native Memory System? cites this paper.

Are We Ready For An Agent-Native Memory System? Optimizing the Interface Between Knowledge Graphs and LLMs for Complex Reasoning

Reference 23

Resolution: verified exact; arxiv_id, observed 2026-07-04T17:09:59.352909Z

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.

Observation 706410d7-bb8d-4148-a1fa-48cee5487d9e · inbound

Setoka: A Benchmark for Hierarchical User Understanding in Personalized Agents over Heterogeneous Data cites this paper.

Setoka: A Benchmark for Hierarchical User Understanding in Personalized Agents over Heterogeneous Data Optimizing the Interface Between Knowledge Graphs and LLMs for Complex Reasoning

Reference 8

Resolution: unresolved; no resolver link, observed 2026-07-30T12:32:19.058233Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d32ee6b9-64e0-43ff-9e27-b027fc2765af · inbound

Setoka: A Benchmark for Hierarchical User Understanding in Personalized Agents over Heterogeneous Data cites this paper.

Setoka: A Benchmark for Hierarchical User Understanding in Personalized Agents over Heterogeneous Data Optimizing the Interface Between Knowledge Graphs and LLMs for Complex Reasoning

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-04T03:22:55.261407Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3fc4bf8d-bcf7-4db9-bbba-ce55c6bdaf41 · inbound

Know It, Act on It: Investigating Memory Utilization in LLM Personalization cites this paper.

Know It, Act on It: Investigating Memory Utilization in LLM Personalization Optimizing the Interface Between Knowledge Graphs and LLMs for Complex Reasoning

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-03T07:15:57.726447Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.