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Paper Citation Record · LEDGER

Optimizing the Interface Between Knowledge Graphs and LLMs for Complex Reasoning

As of 13 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 2026-08-13T06:32:02.005865+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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:24:15.383446Z digest=sha256:d0cd274be8bb53815ab015e5ad7ccff404ba3087ffb3a5474f0c5b93bfd659d9

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-07T12:24:15.444844Z digest=sha256:1c1bb43cb2525f2adfc3b4feb25cd26b7e939d777a3d721ebd9821be1ced1188

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:24:15.508597Z digest=sha256:7f3ccee5e2e385f0a5da360afa8273f50a9674516035bbf45521ec65d37520ec

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:24:15.592462Z digest=sha256:1bf0f24480379c45ab48a6d6f67b5359bd337acb81bfb515cd2f1b792ca01352

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:24:15.657321Z digest=sha256:ff336d9059da01bd2e052f91fd70f234c4746cbc18e7f76bf31f8e30a073f91e

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:24:15.698848Z digest=sha256:c402bbe2d134965d51e422e8cd7f22b90ffb922d05a18f7b2cea6264921fdce4

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:24:15.791382Z digest=sha256:8a6d80189cc9a221ad30e8904cfb30b3788b2a158a461e8e04e984d9b6818311

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-07T12:24:15.880090Z digest=sha256:369cc86e183342dffc6c922aace448f9f1da6e255d8ecee9e20bdca5ce7dcdad

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:24:15.987843Z digest=sha256:8d614f477d800cc6bc8a985080c06bb389f91b9086fec01d7dc41d02421749af

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:24:16.104342Z digest=sha256:ee4de8f5db54a32db97486e0feb6fe4f863ecbcdd8d5d6fcfc510c3f9c34df59

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:24:16.174083Z digest=sha256:384e9ae6966774803f100e5303a37128f2db4f9e6fcb16d780e0f61877f42ee6

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-07T12:24:16.257209Z digest=sha256:e897622d5f663af430633db46a8ae812af470cb3db0f98bd46842be5c8b24a78

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-07T12:24:16.363935Z digest=sha256:d41c257df5fe76f5704613f5d84c5a913b2713c7a14fe4499ba066175d4a34e1

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.

source=pdf_text observed=2026-08-07T12:24:16.502163Z digest=sha256:ec27b3795e47e24bd07d53913937df2143c48a3cd26d4223bf63960f4ae88d30

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-07T12:24:16.588182Z digest=sha256:7595e4ec080e51eca6b5a064c3dc1c1ea382fad37e37aa5a2cb4d3d4272edca6

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.

source=pdf_text observed=2026-08-07T12:24:16.677572Z digest=sha256:9afbdf60457e83803844e82687ad393a7cfd42afb5ea2e1043cadeade887b530

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-07T12:24:16.762761Z digest=sha256:e40bfe0fbcb28025727fffab8b44d4d750fe4e30407903205638835c57c00ad7

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:24:16.852973Z digest=sha256:89c97935e083dfa18354d3c43d10d2e880dd4480a3f978fb1aac0df4d2fea5f6

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-07T12:24:16.962661Z digest=sha256:50da99934ec1ea41ab77c61e0b1b83873612d920ea22fa8e4691984246fac52a

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:24:17.057049Z digest=sha256:93c644899afccfb6b7bf728e1dc86d807eafd8596af6fb2b1917ddd3fb61e07c

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:24:17.146987Z digest=sha256:324b526f33659df16898849f683dd33c56a8698d6472b1df9d26189f2be93dd3

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:24:17.191085Z digest=sha256:7a0b290bbb9e4db62b69f9271a508dbd5be41a83203e1c7115edeb5c2e01fc8b

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-07T12:24:17.216905Z digest=sha256:af7039e3dbffa7dcbd206c3ede3a250d55381dc96c22fd5fd50249317322a05f

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-07T12:24:17.258393Z digest=sha256:bbfde1bb2a90398513002268bf750cf187f466242d6f50af2ae764fb26791d28

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:24:17.285998Z digest=sha256:9602e17559399bb2cf0f66b222c77030a83015cdbb196d1d782a00eee6a4cca8

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:24:17.337158Z digest=sha256:0805acb9fa665f5c39a66d4133379631d4f87be3901af8b7a3462d934a5798c8

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.

source=pdf_text observed=2026-08-07T12:24:17.428871Z digest=sha256:c408d9e87615d8b27150398e2e65d0c344c2fc81b915bbfb80b120fe914998fc

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-07T12:24:17.492765Z digest=sha256:48c2f37a5a36fe682c20cbd89d5934c8acdea66724a63eafc4900cd67e044bfc

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:24:17.571739Z digest=sha256:3fbf9a3acb560d7707c221079b57498234310a0daba7a999c754249492706ccd

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-07T12:24:17.649318Z digest=sha256:ef6434a193ee9db03ddf70e1f69dbf31176fd322c3154e46ec2f4544aa884892

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-07T12:24:17.714193Z digest=sha256:4816e9e6813eca1a13ec845a5e587bccbd529bf4e020b703cca269bbceb1fe8a

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-07T12:24:17.797974Z digest=sha256:3d1e68da9b7a37b5cf1916af511fbe55b189b625e2c53f5e94ed062223bebc15

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-07T12:24:17.896702Z digest=sha256:3a93d04b0c184544b97551871a7932d1b6339627367d759ef692aa11fbb0a64d

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-07T12:24:18.005319Z digest=sha256:a729b77b9627d7c02f6c43198f0669f968a1f4ecbb00999ff901dbc8d4cf7bc0

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:24:18.105079Z digest=sha256:4f774d026a7f0e241ed5d4a18c6f7b4b2fa5227fd9fdf6228a71a70c440a4cbb

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

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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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-07T12:24:18.196309Z digest=sha256:60083f47eb34b766f38c845a9a19eff5589df63feb0be67fb17451bd8592d526

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:24:18.261666Z digest=sha256:c76e7019aba354a2adac0a1f53079307ae3f1a29adc0ae2338e5c060f08b4f53

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-07T12:24:18.376728Z digest=sha256:49e235c86a143a9f1dec27c111c7584fcc70ef6c163958166c2431b3a22674e0

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-07T12:24:18.469088Z digest=sha256:3e22cb7f13cd839ec2ca69fdc198fe271f3a2e91954712adce060ef6dae47b8c

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.

source=pdf_text observed=2026-08-07T12:24:18.586254Z digest=sha256:64ed6332e9a4b943f493d620da055cc01f5d1d006cc219feda5555b6c460b828

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-07T12:24:18.703372Z digest=sha256:a20d717e6a77fa6294de73441285d7966048d9246966baf563eea5d22a1b4a14

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.

source=pdf_text observed=2026-08-07T12:24:18.802896Z digest=sha256:7f12f1b43a9039a5903f7ed23b7c5362423950b536d9f7fb45c9e31e361bbb5d

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-16T21:20:22.146417Z digest=sha256:a4331cc0b16905ccd8e1d1590d6a6404aaa9a804cee13e26b0c880880117f8dd

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.

source=pdf_text observed=2026-08-06T19:36:05.728667Z digest=sha256:148e3a69a29177467f876a676cfe7ff193f5369078580619a5b8d64ce62d3ce0

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-15T05:57:52.610922Z digest=sha256:7d60d9d9a2aea8508d89ff2fec0114f719dff4c9767e6cdca885c43f5ec1183a

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.

source=pdf_text observed=2026-08-03T20:21:03.531366Z digest=sha256:ff1e087a5304908349e8df8aab938d2013a5120b7e2c113c8cc9d0f30d62b1a7

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.

source=pdf_text observed=2026-08-03T11:01:43.496684Z digest=sha256:70d79925f1d02bc776217492a2561eca13702406f800929129377567d884eb4c

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-06-25T23:52:26.260258Z digest=sha256:f97386e254d19e0982539f42d6815ebd6c93196cb1bbac9f03e92451470dd37c

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.

source=pdf_text observed=2026-07-30T12:32:19.058233Z digest=sha256:17cc26fe4b5fe7d1c3edf014c7d0f9105275ff42892bf9bf03694704803efe4b

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.

source=arxiv_source observed=2026-08-04T03:22:55.261407Z digest=sha256:4fd173a3fc22b21a6e13a8371b143ca0c597b0a6b88824c89c29f0eb18387ea3

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T07:15:57.726447Z digest=sha256:9ce76bc5e6911ffd267e564a47970a5a809950bb053eacb6d0221f57192acfc1