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Paper Citation Record · LEDGER

Retrieval-Augmented Generation with Graphs (GraphRAG)

As of 22 August 2026, this Paper Citation Record lists 100 of 299 outbound references and 85 inbound Pith citation observations for arXiv:2501.00309.

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

pith.paper-citation-record.v1
2501.00309 v2

Coverage vector

measured 100 of 299 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-18T04:33:39.076517Z

measured 185 of 185 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 85 of 85 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T06:05:57.466919Z

measured 1 of 1 external citation measurements

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

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

Reference resolution

100 of 299 outbound references displayed

  • verified exact35
  • verified fuzzy60
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch5

External citation measurements

19
pith, observed 2026-08-05T02:28:24.338817Z

Outbound references

Observation 4e500753-784d-4e03-bd22-eb1dc8083bb8 · outbound

This paper cites Accurate structure prediction of biomolecular interactions with alphafold 3.

Retrieval-Augmented Generation with Graphs (GraphRAG) Accurate structure prediction of biomolecular interactions with alphafold 3

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T04:35:52.848686Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-18T04:33:39.076517Z digest=sha256:c70a3a45fda23d0ac1f68c872b4c61e026da96098e4674eb7f33327e9e530ea1

Observation d0ef23c1-1359-4873-9bef-8b0d69ed7f75 · outbound

This paper cites Supporting Student Decisions on Learning Recommendations: An LLM-Based Chatbot with Knowledge Graph Contextualization for Conversational Explainability and Mentoring.

Retrieval-Augmented Generation with Graphs (GraphRAG) Supporting Student Decisions on Learning Recommendations: An LLM-Based Chatbot with Knowledge Graph Contextualization for Conversational Explainability and Mentoring

Reference 2

Resolution
verified exact
arxiv_id, observed 2026-05-18T04:33:39.742654Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-18T04:33:39.076517Z digest=sha256:fabe060b371818799caaa8cbbe873b84b2fc06325638bbe5ccf1059b39397673

Observation dbe715fe-ed15-4e7c-9b17-169cafe6e6db · outbound

This paper cites Knowledge Graph Based Synthetic Corpus Generation for Knowledge-Enhanced Language Model Pre-training.

Retrieval-Augmented Generation with Graphs (GraphRAG) Knowledge Graph Based Synthetic Corpus Generation for Knowledge-Enhanced Language Model Pre-training

Reference 3

Resolution
verified exact
arxiv_id, observed 2026-05-18T04:33:39.616576Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation f727c105-79bf-4902-b597-f92c784a7c15 · outbound

This paper cites On edge classification in networks with structure and content.

Retrieval-Augmented Generation with Graphs (GraphRAG) On edge classification in networks with structure and content

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T04:33:40.051623Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-18T04:33:39.076517Z digest=sha256:0283c6de73dbc8cb5a6ba0d6789c360eda90d5a3d70c3ab08f35695550a33c6a

Observation 1981c39d-07cd-4d51-bee3-c3b5e0601611 · outbound

This paper cites Learning Role-based Graph Embeddings.

Retrieval-Augmented Generation with Graphs (GraphRAG) Learning Role-based Graph Embeddings

Reference 5

Resolution
verified exact
local_arxiv, observed 2026-05-18T04:33:39.315574Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-18T04:33:39.076517Z digest=sha256:2a4c578d6949bb190fd86b0169cc849bc5b5722257ef9900a88f65672b3a1cf0

Observation 1d827fb1-d086-4854-b376-d973628145d6 · outbound

This paper cites Named entity extraction for knowledge graphs: A literature overview.

Retrieval-Augmented Generation with Graphs (GraphRAG) Named entity extraction for knowledge graphs: A literature overview

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T04:33:40.055401Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-18T04:33:39.076517Z digest=sha256:4f39ae4be9870087d1fcfda7fcde59b2d5d29e2d98c102d63a14aaf15ebca273

Observation c92b35a7-54ab-451d-a328-483a3600f3ca · outbound

This paper cites Statistical mechanics of complex networks.

Retrieval-Augmented Generation with Graphs (GraphRAG) Statistical mechanics of complex networks

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T04:33:40.058124Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-18T04:33:39.076517Z digest=sha256:2b87bf0649536bfb63f00ce60865d26a83117453bf56b2733fa6796dd8ae9917

Observation ec874cd1-8ef2-4e05-a062-aee36d6f2830 · outbound

This paper cites Graph-based text classification: learn from your neighbors.

Retrieval-Augmented Generation with Graphs (GraphRAG) Graph-based text classification: learn from your neighbors

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T04:33:40.060793Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-18T04:33:39.076517Z digest=sha256:2769fcd9a1d54851afe1d9515fdb8c975edbdaea0bee0aae3a5e3dc5ee8848bf

Observation 2fc7e9d6-460d-4a85-9b33-85973a16fe28 · outbound

This paper cites Joint Embeddings for Graph Instruction Tuning.

Retrieval-Augmented Generation with Graphs (GraphRAG) Joint Embeddings for Graph Instruction Tuning

Reference 9

Resolution
verified exact
arxiv_id, observed 2026-05-18T04:33:39.447310Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 69d2608c-60cd-4dfc-8631-11d1387103f1 · outbound

This paper cites Learning to Retrieve Reasoning Paths over Wikipedia Graph for Question Answering.

Retrieval-Augmented Generation with Graphs (GraphRAG) Learning to Retrieve Reasoning Paths over Wikipedia Graph for Question Answering

Reference 10

Resolution
verified exact
arxiv_id, observed 2026-05-18T04:33:39.508025Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-18T04:33:39.076517Z digest=sha256:6aa42f19496aa355cf12ea0db566fd6eeceece9e1460eaffcec2671e3b2b2e8d

Observation 3e08d962-990e-4c12-8de1-ef02849a1766 · outbound

This paper cites Retrieval-based language models and applications.

Retrieval-Augmented Generation with Graphs (GraphRAG) Retrieval-based language models and applications

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T04:33:40.063550Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-18T04:33:39.076517Z digest=sha256:fe651fe8e4008c5c66b32dd1d1dec2ab0a800da13584a6fb9bad072afe83d844

Observation c70e64a9-b87d-4c67-8d3c-19762e5c3b28 · outbound

This paper cites Query expansion techniques for information retrieval: a survey.

Retrieval-Augmented Generation with Graphs (GraphRAG) Query expansion techniques for information retrieval: a survey

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T04:33:40.066282Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-18T04:33:39.076517Z digest=sha256:52ce4f751f26bff5f54374c49e2371d1d0ff491b6a468d73a97569ad80d4b6c7

Observation 97561df1-5048-4243-9e12-c5be7dc2f295 · outbound

This paper cites The pitfalls of next-token prediction.

Retrieval-Augmented Generation with Graphs (GraphRAG) The pitfalls of next-token prediction

Reference 13

Resolution
verified exact
arxiv_id, observed 2026-05-18T04:33:39.793820Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-18T04:33:39.076517Z digest=sha256:3f134bed47d8c5b60fffd5e95839e29b68d70447fcaa57e41626982b7c6de47c

Observation 36764449-5d35-42e5-9539-5d5c2b6f2417 · outbound

This paper cites Knowledge-Augmented Language Model Prompting for Zero-Shot Knowledge Graph Question Answering.

Retrieval-Augmented Generation with Graphs (GraphRAG) Knowledge-Augmented Language Model Prompting for Zero-Shot Knowledge Graph Question Answering

Reference 14

Resolution
verified exact
arxiv_id, observed 2026-05-18T04:33:39.833629Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 153b9ff3-12b7-40f3-b73a-7da741e6935c · outbound

This paper cites Atj-net: Auto- table-join network for automatic learning on relational databases.

Retrieval-Augmented Generation with Graphs (GraphRAG) Atj-net: Auto- table-join network for automatic learning on relational databases

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T04:33:40.068723Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-18T04:33:39.076517Z digest=sha256:ff0c9b2879dd6e6a5fdc48329e3dcfc38ff4d9cd560f65fe81b27c55c5308f63

Observation 14cb185d-c894-48a2-891d-f16b1631d857 · outbound

This paper cites Hypergraph convolution and hypergraph attention.

Retrieval-Augmented Generation with Graphs (GraphRAG) Hypergraph convolution and hypergraph attention

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T04:33:40.071679Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-18T04:33:39.076517Z digest=sha256:378f67672a1286e35fa1c0485c4511b87613cd30c87dd83c4dbae085edc4fbf4

Observation d81005c8-31b2-4426-9dee-9ed3a57b1124 · outbound

This paper cites Abstract meaning representation for sembanking.

Retrieval-Augmented Generation with Graphs (GraphRAG) Abstract meaning representation for sembanking

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T04:33:40.074273Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-18T04:33:39.076517Z digest=sha256:572527ae2f6c7a58564a35a43083d825ec8a6da3611d9bfe4a05aaaaa0276857

Observation 6d5065fc-562b-4588-861d-77494bbbff40 · outbound

This paper cites Emergence of scaling in random networks.

Retrieval-Augmented Generation with Graphs (GraphRAG) Emergence of scaling in random networks

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T04:33:40.076958Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-18T04:33:39.076517Z digest=sha256:24ad47e08f0b13512053bef4486a9b63bafdfbbeea9ae42e0ae816a44be96f94

Observation 67227a77-b8da-4356-85b6-797ad8bb80d8 · outbound

This paper cites Graph Convolution for Semi-Supervised Classification: Improved Linear Separability and Out-of-Distribution Generalization.

Retrieval-Augmented Generation with Graphs (GraphRAG) Graph Convolution for Semi-Supervised Classification: Improved Linear Separability and Out-of-Distribution Generalization

Reference 19

Resolution
verified exact
arxiv_id, observed 2026-05-18T04:33:39.734850Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-18T04:33:39.076517Z digest=sha256:aa0219c0ef295cc98442c068354894b336e332b8ecd22303b011a449dc14df44

Observation 25c55c39-f229-4879-af4d-72b5707c58e4 · outbound

This paper cites Large generative ai models for telecom: The next big thing? IEEE Communications Magazine.

Retrieval-Augmented Generation with Graphs (GraphRAG) Large generative ai models for telecom: The next big thing? IEEE Communications Magazine

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T04:33:40.079810Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-18T04:33:39.076517Z digest=sha256:47a526ed86e78166b679b799c8ae0d7807c9fabc38c6e2b1a880fa96ea6fa6dc

Observation 0fecdc33-60ea-4927-8026-8423163c1053 · outbound

This paper cites Seven failure points when engineering a retrieval augmented generation system.

Retrieval-Augmented Generation with Graphs (GraphRAG) Seven failure points when engineering a retrieval augmented generation system

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T04:33:40.082430Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-18T04:33:39.076517Z digest=sha256:0f890ec4e517a2dabbc7451f6633e2a632c6fdf897581f626e827881c9d4e4df

Observation be876d18-09ad-4495-9d99-25cd37f6cb66 · outbound

This paper cites The technological landscape and applications of single-cell multi-omics.

Retrieval-Augmented Generation with Graphs (GraphRAG) The technological landscape and applications of single-cell multi-omics

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T04:33:40.085038Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-18T04:33:39.076517Z digest=sha256:827b4cb9e38537a7de08d4b1187a9e6ab39a560952c91040624168774a07f04e

Observation cf45d052-481a-4966-b0fa-86de6b7c8c99 · outbound

This paper cites Tabgraphs: A benchmark and strong baselines for learning on graphs with tabular node features.

Retrieval-Augmented Generation with Graphs (GraphRAG) Tabgraphs: A benchmark and strong baselines for learning on graphs with tabular node features

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T04:33:40.088201Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-18T04:33:39.076517Z digest=sha256:b1d721056f390c537b78d7d5f34c661865e2f646586e8bca811f7b2a475bd4b9

Observation 5f928921-43f2-4105-bd0c-69d07a9b7e54 · outbound

This paper cites Graph of thoughts: Solving elaborate problems with large language models.

Retrieval-Augmented Generation with Graphs (GraphRAG) Graph of thoughts: Solving elaborate problems with large language models

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T04:33:40.091476Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-18T04:33:39.076517Z digest=sha256:055e5acc588576e4e2c146fa677f8e9311326ceb9fa8a93ecb54ca1fc82e4af1

Observation 2cd381c8-4a2d-41be-8ec4-c3b89b05ea4c · outbound

This paper cites The unified medical language system (umls): integrating biomedical terminology.

Retrieval-Augmented Generation with Graphs (GraphRAG) The unified medical language system (umls): integrating biomedical terminology

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T04:33:40.094441Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-18T04:33:39.076517Z digest=sha256:c3959dceab85173be58804f72d180b5fc344922997df7cf3ef2ee5f7d17ed3d6

Observation 6f1a4439-0e54-4d54-9762-54a8c510b2c8 · outbound

This paper cites Weisfeiler and lehman go cellular: Cw networks.

Retrieval-Augmented Generation with Graphs (GraphRAG) Weisfeiler and lehman go cellular: Cw networks

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T04:33:40.097309Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-18T04:33:39.076517Z digest=sha256:8d4b12fec15b97878d06ae1a62fa05c0b83cb2cfb940654eadb8461f4834ed72

Observation 14f99701-a40e-477b-b9b1-367e33eec4a6 · outbound

This paper cites Freebase: a collaboratively created graph database for structuring human knowledge.

Retrieval-Augmented Generation with Graphs (GraphRAG) Freebase: a collaboratively created graph database for structuring human knowledge

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T04:33:40.099926Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-18T04:33:39.076517Z digest=sha256:9d80895cd89189199d8d3260d36e779c04d5d8a82e01d54ce5518e348ce71133

Observation c32da3ce-ecd6-4199-b5b4-75d1ede181f5 · outbound

This paper cites A review of biomedical datasets relating to drug discovery: a knowledge graph perspective.

Retrieval-Augmented Generation with Graphs (GraphRAG) A review of biomedical datasets relating to drug discovery: a knowledge graph perspective

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T04:33:40.102782Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-18T04:33:39.076517Z digest=sha256:2dfee66b352c9f23059cf523cfe7d9f2a890c2e6957bb22746e5fc07d5630d01

Observation fa75a45a-9283-4e83-9b0e-02167ccbb566 · outbound

This paper cites Transposition of native chromatin for multimodal regulatory analysis and personal epigenomics.

Retrieval-Augmented Generation with Graphs (GraphRAG) Transposition of native chromatin for multimodal regulatory analysis and personal epigenomics

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T04:33:40.105409Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-18T04:33:39.076517Z digest=sha256:373bf725432139866f3acbde5ca67bc020f4a6f1f9d2798b2e23b9151707bc8d

Observation a80c75ac-43a0-40ff-9be7-5e02bdec3176 · outbound

This paper cites Preliminary study on the construction of chinese medical knowledge graph.

Retrieval-Augmented Generation with Graphs (GraphRAG) Preliminary study on the construction of chinese medical knowledge graph

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T04:33:40.108171Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-18T04:33:39.076517Z digest=sha256:6ca12f518ee7603021131e92de031963c142e4ee4df61f74afe766722f49e15d

Observation 16cea47c-31d9-4e2b-a054-c26a26dcf2f0 · outbound

This paper cites XAI meets LLMs: A Survey of the Relation between Explainable AI and Large Language Models.

Retrieval-Augmented Generation with Graphs (GraphRAG) XAI meets LLMs: A Survey of the Relation between Explainable AI and Large Language Models

Reference 31

Resolution
verified exact
arxiv_id, observed 2026-05-18T04:33:39.217022Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-18T04:33:39.076517Z digest=sha256:867a880c016a56fb3d1322d703051c0811f17e406c83313c1a04738697026893

Observation 4bac85e7-ba1f-4f2a-b696-d2c43675ea57 · outbound

This paper cites A graph based analysis of leak localization in urban water networks.

Retrieval-Augmented Generation with Graphs (GraphRAG) A graph based analysis of leak localization in urban water networks

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T04:33:40.110950Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-18T04:33:39.076517Z digest=sha256:c23bc540a207e427e9eb0a6cbbda02ae78e7454d2e6ba6b231eca9ac2d77c65f

Observation fb93803f-0599-4077-80bf-d32a1a6990e0 · outbound

This paper cites Random geometric graphs.

Retrieval-Augmented Generation with Graphs (GraphRAG) Random geometric graphs

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T04:33:40.113279Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-18T04:33:39.076517Z digest=sha256:ec43ab7c97db09825cddfb0d612819920d1933f89f13ed73fa24252b7281d8db

Observation 6af6bc87-c22c-46c4-bbf7-edd0533e3c7d · outbound

This paper cites Relational data imputation with graph neural networks.

Retrieval-Augmented Generation with Graphs (GraphRAG) Relational data imputation with graph neural networks

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T04:33:40.116012Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-18T04:33:39.076517Z digest=sha256:c378cb66a353332767d2f3364e301240a034ba2ba32e84f94f33d7b08f82d0f0

Observation 893d4f31-fb73-4bee-8df3-dfec9d048149 · outbound

This paper cites The use of mmr, diversity-based reranking for reordering documents and producing summaries.

Retrieval-Augmented Generation with Graphs (GraphRAG) The use of mmr, diversity-based reranking for reordering documents and producing summaries

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T04:33:40.118592Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-18T04:33:39.076517Z digest=sha256:cc0fd4c4531ba604c00563caa5630f49e1412b84862f49b57c530f5d57462216

Observation 7e15458a-3809-41b1-aa86-4a9ba75bdfc3 · outbound

This paper cites GraphLLM: Boosting Graph Reasoning Ability of Large Language Model.

Retrieval-Augmented Generation with Graphs (GraphRAG) GraphLLM: Boosting Graph Reasoning Ability of Large Language Model

Reference 36

Resolution
verified exact
arxiv_id, observed 2026-05-18T04:33:39.730880Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-18T04:33:39.076517Z digest=sha256:76b30fa0a2919a5149328f5a510239a28b473b01e426c85acc22cbcc0d189f07

Observation 72adf600-11dd-429b-a2a4-f7f45af73262 · outbound

This paper cites Building a knowledge graph to enable precision medicine.

Retrieval-Augmented Generation with Graphs (GraphRAG) Building a knowledge graph to enable precision medicine

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T04:33:40.121503Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-18T04:33:39.076517Z digest=sha256:6c5a5512c4774472f341f06b35380069adc1dc34dc5c35bcb792eeff7e20dbe1

Observation b53ec3d2-40fb-4fa5-a7d3-eeeb1a33dec6 · outbound

This paper cites Path-based explanation for knowledge graph completion.

Retrieval-Augmented Generation with Graphs (GraphRAG) Path-based explanation for knowledge graph completion

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T04:33:40.124151Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-18T04:33:39.076517Z digest=sha256:254ea2fcd9846bc0147e197163d38fd0facfb603efc7f7a1db6a044d1f81f065

Observation 5f3bf742-72ab-4688-a1b4-72924db0983c · outbound

This paper cites Fairness-aware graph neural networks: A survey.

Retrieval-Augmented Generation with Graphs (GraphRAG) Fairness-aware graph neural networks: A survey

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T04:33:40.127121Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-18T04:33:39.076517Z digest=sha256:ff30842e6ec34e1140b77e5e802b6a8b407672eb4213d92627e2d0755346ffce

Observation 4a800eea-6461-4d5d-9b49-660623ef3743 · outbound

This paper cites Autokg: Efficient automated knowledge graph generation for language models.

Retrieval-Augmented Generation with Graphs (GraphRAG) Autokg: Efficient automated knowledge graph generation for language models

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T04:33:40.129994Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-18T04:33:39.076517Z digest=sha256:896a8a30fc671ee5b86bc1dd9fc5ffa73111e280a7eea73b35363cd5c91c844a

Observation b3032a38-de71-489a-992f-2b4f51cce488 · outbound

This paper cites Sur- vey and open problems in privacy-preserving knowledge graph: merging, query, representation, completion, and applications.

Retrieval-Augmented Generation with Graphs (GraphRAG) Sur- vey and open problems in privacy-preserving knowledge graph: merging, query, representation, completion, and applications

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T04:33:40.133250Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-18T04:33:39.076517Z digest=sha256:f7df3ffb44ee6486d74de6575e54acb9927ebd502e8566d8c5d22af6455cbf7b

Observation 0a66ad43-9356-4e4d-b21b-00c1c4272486 · outbound

This paper cites Rich Knowledge Sources Bring Complex Knowledge Conflicts: Recalibrating Models to Reflect Conflicting Evidence.

Retrieval-Augmented Generation with Graphs (GraphRAG) Rich Knowledge Sources Bring Complex Knowledge Conflicts: Recalibrating Models to Reflect Conflicting Evidence

Reference 42

Resolution
verified exact
arxiv_id, observed 2026-05-18T04:33:39.281262Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-18T04:33:39.076517Z digest=sha256:ab374ec30472e2654e56177fae3d165791cd7694db0a59769208e4a93228ff3a

Observation 08d32275-49f4-42d1-a09e-b743a72d9895 · outbound

This paper cites Understanding re- trieval augmentation for long-form question answering.

Retrieval-Augmented Generation with Graphs (GraphRAG) Understanding re- trieval augmentation for long-form question answering

Reference 43

Resolution
verified exact
arxiv_id, observed 2026-05-18T04:33:39.294149Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-18T04:33:39.076517Z digest=sha256:516c881fbe1b1fefc0512af20b7c838121b41e00db69bd749cf1e863999cb0a0

Observation 32d4202f-0374-4929-9f1b-23ce3f0ff87b · outbound

This paper cites Gedi: A graph-based end-to- end data imputation framework.

Retrieval-Augmented Generation with Graphs (GraphRAG) Gedi: A graph-based end-to- end data imputation framework

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T04:35:52.854502Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-18T04:33:39.076517Z digest=sha256:3c2c0801b900015969d699c7dc12a997c3e1158e1eb6f7e386cd0ccb08b218db

Observation b860f41f-254c-4779-9383-61302edd8485 · outbound

This paper cites SgSum: Transforming Multi-document Summarization into Sub-graph Selection.

Retrieval-Augmented Generation with Graphs (GraphRAG) SgSum: Transforming Multi-document Summarization into Sub-graph Selection

Reference 45

Resolution
verified exact
arxiv_id, observed 2026-05-18T04:33:39.382656Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-18T04:33:39.076517Z digest=sha256:7b527e22c5e3da47f24c188ea50bbd7aae70889273c73f25fe424da8a4a6223f

Observation 0e04c044-2395-4ff7-9049-d7bd3afd5f6a · outbound

This paper cites Hytrel: Hypergraph-enhanced tabular data representation learning.

Retrieval-Augmented Generation with Graphs (GraphRAG) Hytrel: Hypergraph-enhanced tabular data representation learning

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T04:35:52.785608Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-18T04:33:39.076517Z digest=sha256:9de3638963b67f2c56234281f7c1b782f98c58ae6fe2c43cd075c305781fcebb

Observation 355ac584-fa68-4983-9271-ebbae51b6d50 · outbound

This paper cites Knowedu: A system to construct knowledge graph for education.

Retrieval-Augmented Generation with Graphs (GraphRAG) Knowedu: A system to construct knowledge graph for education

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T04:35:53.043386Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-18T04:33:39.076517Z digest=sha256:3d8f77de82a15b30c571d2412dc750bc9a86ab9c92774f80df298acdd80019bf

Observation e9e7b5c1-d71f-4964-adc7-a241dd0a2ba3 · outbound

This paper cites Improving Commonsense Question Answering by Graph-based Iterative Retrieval over Multiple Knowledge Sources.

Retrieval-Augmented Generation with Graphs (GraphRAG) Improving Commonsense Question Answering by Graph-based Iterative Retrieval over Multiple Knowledge Sources

Reference 48

Resolution
verified exact
arxiv_id, observed 2026-05-18T04:33:39.551711Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-18T04:33:39.076517Z digest=sha256:4636e79ccddc5e662850c07230223e4f069f2e656536864f7b73b763c07a63ea

Observation 81f438e5-66c5-4cf9-8cc4-72f35e266600 · outbound

This paper cites LLaGA: Large Language and Graph Assistant.

Retrieval-Augmented Generation with Graphs (GraphRAG) LLaGA: Large Language and Graph Assistant

Reference 49

Resolution
verified exact
arxiv_id, observed 2026-05-18T04:33:39.577069Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-18T04:33:39.076517Z digest=sha256:773ee748fb16b40579086d62bf44dd47333934a0639ab607ba5049601e97860d

Observation 2f5dd186-aa07-4ff9-94dc-7ec6eec68856 · outbound

This paper cites Xgboost: A scalable tree boosting system.

Retrieval-Augmented Generation with Graphs (GraphRAG) Xgboost: A scalable tree boosting system

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T04:35:53.078529Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-18T04:33:39.076517Z digest=sha256:7db501c3858c4f108cf2975a3bee5fa0fbe2d02a9d571c259c97c6b9e3ac1ec6

Observation 8c51ab74-3f41-4d9d-88e6-38334835423f · outbound

This paper cites AgentVerse: Facilitating Multi-Agent Collaboration and Exploring Emergent Behaviors.

Retrieval-Augmented Generation with Graphs (GraphRAG) AgentVerse: Facilitating Multi-Agent Collaboration and Exploring Emergent Behaviors

Reference 51

Resolution
verified exact
local_arxiv, observed 2026-05-18T04:33:39.674739Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-18T04:33:39.076517Z digest=sha256:c5d3c3305c24c8441779b877f1d95c3aff5e89df743ece9168afc0ae4bc27379

Observation d6b6c42f-52d2-4653-88a4-9954926f7595 · outbound

This paper cites Graph Generative Pre-trained Transformer.

Retrieval-Augmented Generation with Graphs (GraphRAG) Graph Generative Pre-trained Transformer

Reference 52

Resolution
verified exact
arxiv_id, observed 2026-05-18T04:33:39.710198Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-18T04:33:39.076517Z digest=sha256:ae0bcc8a2f40098406f2f1e0ee3f73db19b335e3cad4273e790694c1b7169be9

Observation c769dd8b-14d9-4849-9885-eb700a69cc34 · outbound

This paper cites A review: Knowledge reasoning over knowledge graph.

Retrieval-Augmented Generation with Graphs (GraphRAG) A review: Knowledge reasoning over knowledge graph

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T04:35:52.814602Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-18T04:33:39.076517Z digest=sha256:39dc7ec5ad3b7a44b8bbc6e3d7cd66eaeb9fbef9363d2d11fb89978d99491ae5

Observation 887529fa-c89e-4d5c-95d3-b31608172cd3 · outbound

This paper cites Analyze, generate and refine: Query expansion with llms for zero-shot open-domain qa.

Retrieval-Augmented Generation with Graphs (GraphRAG) Analyze, generate and refine: Query expansion with llms for zero-shot open-domain qa

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T04:35:52.968689Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-18T04:33:39.076517Z digest=sha256:a1d3f793709d217fdf67e24b179307271108f162337ecf2dc38f7867740040f4

Observation 8e68989c-fc2c-48e9-9792-2898b1bfc983 · outbound

This paper cites Label-free Node Classification on Graphs with Large Language Models (LLMS).

Retrieval-Augmented Generation with Graphs (GraphRAG) Label-free Node Classification on Graphs with Large Language Models (LLMS)

Reference 55

Resolution
metadata mismatch
arxiv_id, observed 2026-05-18T04:33:39.738678Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-18T04:33:39.076517Z digest=sha256:a9871fd119bda7e6574c983514b03253f6ce58f85949c053fd9ecbecd0962ca1

Observation b486787f-8300-4494-ac17-b24f3ce5bd97 · outbound

This paper cites Exploring the potential of large language models (llms) in learning on graphs.

Retrieval-Augmented Generation with Graphs (GraphRAG) Exploring the potential of large language models (llms) in learning on graphs

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T04:35:52.890431Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-18T04:33:39.076517Z digest=sha256:9fd74f9ae8846a47da923b5f4edbda039d92c6253eacd8d6e9f6719496c34932

Observation c932603d-68c5-45d9-8550-85b7b34baec5 · outbound

This paper cites Anti- money laundering by group-aware deep graph learning.

Retrieval-Augmented Generation with Graphs (GraphRAG) Anti- money laundering by group-aware deep graph learning

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T04:35:52.893461Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-18T04:33:39.076517Z digest=sha256:00a3f0577fa4faeeb91aca85e648f68f3f67d377d5fe6bf94deae38ea39634e7

Observation ef8c10e3-afd6-4192-acce-0d2ad0e4db30 · outbound

This paper cites Structure Guided Prompt: Instructing Large Language Model in Multi-Step Reasoning by Exploring Graph Structure of the Text.

Retrieval-Augmented Generation with Graphs (GraphRAG) Structure Guided Prompt: Instructing Large Language Model in Multi-Step Reasoning by Exploring Graph Structure of the Text

Reference 58

Resolution
verified exact
arxiv_id, observed 2026-05-18T04:33:39.801709Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-18T04:33:39.076517Z digest=sha256:b815b28500502aa0604e16712f893957d07eff67c11dd84bd5f5184c1396371a

Observation 5fd185a0-3ca3-4dc9-91b6-895c27b695c1 · outbound

This paper cites Multi-hop Question Answering under Temporal Knowledge Editing.

Retrieval-Augmented Generation with Graphs (GraphRAG) Multi-hop Question Answering under Temporal Knowledge Editing

Reference 59

Resolution
verified exact
arxiv_id, observed 2026-05-18T04:33:39.829253Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-18T04:33:39.076517Z digest=sha256:243f78aa465dfdc544826b942aa2aded2998900740ae209dab1742e6e55c252d

Observation 7ef8b037-6d83-4139-b698-563ff4ee012c · outbound

This paper cites scgac: a graph attentional architecture for clustering single-cell rna-seq data.

Retrieval-Augmented Generation with Graphs (GraphRAG) scgac: a graph attentional architecture for clustering single-cell rna-seq data

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T04:35:52.836514Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-18T04:33:39.076517Z digest=sha256:415fb517985d36a823258ef02c00d01220fe063225f5501f03f97843cef792c0

Observation dea11c0b-1acf-4e78-a187-ed74c5572cdb · outbound

This paper cites HiTab: A Hierarchical Table Dataset for Question Answering and Natural Language Generation.

Retrieval-Augmented Generation with Graphs (GraphRAG) HiTab: A Hierarchical Table Dataset for Question Answering and Natural Language Generation

Reference 61

Resolution
verified exact
arxiv_id, observed 2026-05-18T04:33:39.846023Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-18T04:33:39.076517Z digest=sha256:11e02c10f86a6efa5b5a13ef89f7aa17fb1cf3913f318fd2c6ea501ebf98c216

Observation 92227490-9356-4b10-aadb-bb496533a358 · outbound

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

Retrieval-Augmented Generation with Graphs (GraphRAG) Complex Logical Reasoning over Knowledge Graphs using Large Language Models

Reference 62

Resolution
verified exact
arxiv_id, observed 2026-05-18T04:33:39.850098Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-18T04:33:39.076517Z digest=sha256:bb7089a6b3b810eed495a27e2222aaa2aa0f94381927fa4d61e7334cd22f21dd

Observation 89bf25f4-0f10-45a4-941a-d1cb86ddded6 · outbound

This paper cites Connecting the Dots: Document-level Neural Relation Extraction with Edge-oriented Graphs.

Retrieval-Augmented Generation with Graphs (GraphRAG) Connecting the Dots: Document-level Neural Relation Extraction with Edge-oriented Graphs

Reference 63

Resolution
verified exact
arxiv_id, observed 2026-05-18T04:33:39.867413Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-18T04:33:39.076517Z digest=sha256:be3c4965c597f6af5065eb1d228fcd808d286c972e73e5523d329865afa0966c

Observation 9a6c1f40-f862-48e4-8b6f-736976ec7530 · outbound

This paper cites Gnn-based embedding for clustering scrna-seq data.

Retrieval-Augmented Generation with Graphs (GraphRAG) Gnn-based embedding for clustering scrna-seq data

Reference 64

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T04:35:52.902599Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-18T04:33:39.076517Z digest=sha256:d051fb8f4f6f9158ff70816634befff7d5b1745524ba543115426a2935435916

Observation f86adfe4-e031-4197-ac78-025b07562912 · outbound

This paper cites Training Verifiers to Solve Math Word Problems.

Retrieval-Augmented Generation with Graphs (GraphRAG) Training Verifiers to Solve Math Word Problems

Reference 65

Resolution
verified exact
local_arxiv, observed 2026-05-18T04:33:39.231454Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-18T04:33:39.076517Z digest=sha256:0dd747fc485c3f861a3f60a4a2f462318a38f96e6fd9d965f373f4d9aa76512e

Observation 609c3528-93cf-40a5-a098-403425d45b38 · outbound

This paper cites Relational database: A practical foundation for productivity.

Retrieval-Augmented Generation with Graphs (GraphRAG) Relational database: A practical foundation for productivity

Reference 66

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T04:35:52.984211Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-18T04:33:39.076517Z digest=sha256:e46f9bea3f57f0cf3f4ea78c2375daa839130efe5d05c9827b84dabb32ca40f8

Observation da490e87-22df-4ac7-abe5-b3dc3798a755 · outbound

This paper cites Latent-graph learning for disease prediction.

Retrieval-Augmented Generation with Graphs (GraphRAG) Latent-graph learning for disease prediction

Reference 67

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T04:35:52.864439Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-18T04:33:39.076517Z digest=sha256:80545b7bb6d1bd3b05c335b1a9588543c54c3ac0e18f2ffd9b03bc17bbb8bcc2

Observation 5259dc81-1dc1-4b6c-b0aa-f65ca5561b32 · outbound

This paper cites On positional and structural node features for graph neural networks on non-attributed graphs.

Retrieval-Augmented Generation with Graphs (GraphRAG) On positional and structural node features for graph neural networks on non-attributed graphs

Reference 68

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T04:35:52.818118Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-18T04:33:39.076517Z digest=sha256:7471377278acc63caa84befee34f741a1b6e7677d53f329be74fcd5633068d38

Observation 720aed1e-33f0-4262-8927-51a0b502b3e5 · outbound

This paper cites MORE: Multi-mOdal REtrieval Augmented Generative Commonsense Reasoning.

Retrieval-Augmented Generation with Graphs (GraphRAG) MORE: Multi-mOdal REtrieval Augmented Generative Commonsense Reasoning

Reference 69

Resolution
verified exact
arxiv_id, observed 2026-05-18T04:33:39.335816Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 138595cc-9a39-4016-b6e3-49bd9effc9fa · outbound

This paper cites Relational data embeddings for feature enrichment with background information.

Retrieval-Augmented Generation with Graphs (GraphRAG) Relational data embeddings for feature enrichment with background information

Reference 70

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verified fuzzy
raw_fallback, observed 2026-05-18T04:35:52.777954Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-18T04:33:39.076517Z digest=sha256:bf6fef524a0179ec450efc4ded1c8db5b3c5a714a6b162c10d1fbb9927f3c0ca

Observation da3d7cad-6adf-4870-90c3-fea4d833f36f · outbound

This paper cites Supervised Learning on Relational Databases with Graph Neural Networks.

Retrieval-Augmented Generation with Graphs (GraphRAG) Supervised Learning on Relational Databases with Graph Neural Networks

Reference 71

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verified exact
arxiv_id, observed 2026-05-18T04:33:39.388266Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-18T04:33:39.076517Z digest=sha256:a3ac3b0c6a0d7a7d2467f0f2d89ab4f2d9e3e66723860350a98c2ca8edd77660

Observation e725ae07-f662-426e-a7cf-3654e7c53405 · outbound

This paper cites Large Language Models Can Better Understand Knowledge Graphs Than We Thought.

Retrieval-Augmented Generation with Graphs (GraphRAG) Large Language Models Can Better Understand Knowledge Graphs Than We Thought

Reference 72

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verified exact
arxiv_id, observed 2026-05-18T04:33:39.415646Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-18T04:33:39.076517Z digest=sha256:dafc5b44de881876905e13f99331271e61435509bb7107bf26532b24f1705be4

Observation b56dec7b-e43b-4fd4-a74a-1eff35028efe · outbound

This paper cites Revisiting the Graph Reasoning Ability of Large Language Models: Case Studies in Translation, Connectivity and Shortest Path.

Retrieval-Augmented Generation with Graphs (GraphRAG) Revisiting the Graph Reasoning Ability of Large Language Models: Case Studies in Translation, Connectivity and Shortest Path

Reference 73

Resolution
verified exact
arxiv_id, observed 2026-05-18T04:33:39.434504Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-18T04:33:39.076517Z digest=sha256:81d7dd3816987868e5efd38f2af1b7cd658472d27ef8bd567a8ece563986fc51

Observation 4a0a5409-f638-4ef8-8099-9da1888df7e6 · outbound

This paper cites Security and Privacy Challenges of Large Language Models: A Survey.

Retrieval-Augmented Generation with Graphs (GraphRAG) Security and Privacy Challenges of Large Language Models: A Survey

Reference 74

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metadata mismatch
arxiv_id, observed 2026-05-18T04:33:39.438711Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-18T04:33:39.076517Z digest=sha256:eafa269506cb0cc8095b99b069292b8947bc11b92179879a8282fe7fb24d148d

Observation 31d2d2b8-658b-46dc-b037-3f7d39da4071 · outbound

This paper cites Go for a walk and arrive at the answer: Reasoning over paths in knowledge bases using reinforcement learning.

Retrieval-Augmented Generation with Graphs (GraphRAG) Go for a walk and arrive at the answer: Reasoning over paths in knowledge bases using reinforcement learning

Reference 75

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T04:35:52.996675Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-18T04:33:39.076517Z digest=sha256:382414258b4868140470c0fed38b677c4450814d9682a16840d067df48c05ea6

Observation d9f64ef5-fe9e-40fd-a893-085acf1c1289 · outbound

This paper cites Question Answering by Reasoning Across Documents with Graph Convolutional Networks.

Retrieval-Augmented Generation with Graphs (GraphRAG) Question Answering by Reasoning Across Documents with Graph Convolutional Networks

Reference 76

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metadata mismatch
arxiv_id, observed 2026-05-18T04:33:39.456847Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-18T04:33:39.076517Z digest=sha256:7d2543aefbb3a21ee149a170252d5e6cb6dc5b04286e2d9bcc0ce91f5e1f68af

Observation f977b22f-deae-4e5e-b32c-35275125b255 · outbound

This paper cites A Review of Modern Recommender Systems Using Generative Models (Gen-RecSys).

Retrieval-Augmented Generation with Graphs (GraphRAG) A Review of Modern Recommender Systems Using Generative Models (Gen-RecSys)

Reference 77

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verified exact
arxiv_id, observed 2026-05-18T04:33:39.462063Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-18T04:33:39.076517Z digest=sha256:3d65ffa503de8598a19615467ea4e99d38777e703521a594715318001f9aa2be

Observation d5068d28-ef8e-401b-876d-b6fff9d8d42a · outbound

This paper cites Graph-Based Retriever Captures the Long Tail of Biomedical Knowledge.

Retrieval-Augmented Generation with Graphs (GraphRAG) Graph-Based Retriever Captures the Long Tail of Biomedical Knowledge

Reference 78

Resolution
verified exact
arxiv_id, observed 2026-05-18T04:33:39.476627Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-18T04:33:39.076517Z digest=sha256:1b72250b318b8cac4f71223aa25ba5289d5a09aa96a8f8db726c20a0c6ece5dc

Observation 7597fb98-1f29-4442-a811-80aad9b0ac2c · outbound

This paper cites Pandora: Jailbreak GPTs by Retrieval Augmented Generation Poisoning.

Retrieval-Augmented Generation with Graphs (GraphRAG) Pandora: Jailbreak GPTs by Retrieval Augmented Generation Poisoning

Reference 79

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metadata mismatch
arxiv_id, observed 2026-05-18T04:33:39.502707Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-18T04:33:39.076517Z digest=sha256:56d2471dd9b6b22a4b3f439faea7cb75e589743634436e708f8da99d41736142

Observation 1aefb27f-b484-4f9e-8b0b-4c239240311d · outbound

This paper cites Contextual stochastic block models.

Retrieval-Augmented Generation with Graphs (GraphRAG) Contextual stochastic block models

Reference 80

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verified fuzzy
raw_fallback, observed 2026-05-18T04:35:53.000381Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-18T04:33:39.076517Z digest=sha256:a03868f1169dbb02c8efdcdc97bad3180d07e3db95862de7a5075a2c9a83af6c

Observation 3f9820e7-8af4-4dda-b55a-399837cdf22f · outbound

This paper cites BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding.

Retrieval-Augmented Generation with Graphs (GraphRAG) BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Reference 81

Resolution
verified exact
local_arxiv, observed 2026-05-18T04:33:39.512779Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-18T04:33:39.076517Z digest=sha256:d897cab6d8a5fe46bcbb0f5579eea89667bbffde5f755558dad76b83dd972f65

Observation b8c5f78e-ac79-4da5-a6bf-9a928b1e169d · outbound

This paper cites Neural Models for Reasoning over Multiple Mentions using Coreference.

Retrieval-Augmented Generation with Graphs (GraphRAG) Neural Models for Reasoning over Multiple Mentions using Coreference

Reference 82

Resolution
verified exact
local_arxiv, observed 2026-05-18T04:33:39.523803Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-18T04:33:39.076517Z digest=sha256:8773ca632cf5ab95d3a5fd7b076d504da08029d307516524c9e91d8accb4cb4d

Observation 72b57b41-af51-4bcf-ba74-4a65d7d186f0 · outbound

This paper cites Neuro-symbolic representations for information retrieval.

Retrieval-Augmented Generation with Graphs (GraphRAG) Neuro-symbolic representations for information retrieval

Reference 83

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T04:35:53.006835Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-18T04:33:39.076517Z digest=sha256:c52178ef4e55c275282215e5ebcea31ce38ee502781adf73cc24bf87a3202e64

Observation 39facff4-3681-484a-adc1-f1f1e8689520 · outbound

This paper cites Spatialctd: A large-scale tumor microen- vironment spatial transcriptomic dataset to evaluate cell type deconvolution for immuno- oncology.

Retrieval-Augmented Generation with Graphs (GraphRAG) Spatialctd: A large-scale tumor microen- vironment spatial transcriptomic dataset to evaluate cell type deconvolution for immuno- oncology

Reference 84

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T04:35:53.021192Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-18T04:33:39.076517Z digest=sha256:dc9cd9046465502201c16e5beacfa1b82f5cda93fe6d611aacc33e0b55ac10fb

Observation 3c14eedc-9b3b-495a-aab1-1dd5f0dd7e4b · outbound

This paper cites Dance: A deep learning library and benchmark platform for single-cell analysis.

Retrieval-Augmented Generation with Graphs (GraphRAG) Dance: A deep learning library and benchmark platform for single-cell analysis

Reference 85

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T04:35:53.037076Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-18T04:33:39.076517Z digest=sha256:137ba22688af259ebb221836afad0eb05e1936b1a3b5fbcfe32e344cfd29c061

Observation b4d4611d-3ddc-4f50-96f9-8a702b1fddd1 · outbound

This paper cites Data augmentation for deep graph learning: A survey.

Retrieval-Augmented Generation with Graphs (GraphRAG) Data augmentation for deep graph learning: A survey

Reference 86

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T04:35:52.824076Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-18T04:33:39.076517Z digest=sha256:470bff949b8b369dcd1b6d6f9eb8bead1844b5817760c2fc742b3faa4fedbb3d

Observation 30c960f9-a6ff-40cc-a31d-ccbe1eb4b786 · outbound

This paper cites A Survey on RAG Meeting LLMs: Towards Retrieval-Augmented Large Language Models.

Retrieval-Augmented Generation with Graphs (GraphRAG) A Survey on RAG Meeting LLMs: Towards Retrieval-Augmented Large Language Models

Reference 87

Resolution
verified exact
arxiv_id, observed 2026-05-18T04:33:39.683770Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-18T04:33:39.076517Z digest=sha256:4e7427d7d763b178018ac20d434c3b9a9382ee916c0ccbe2e711957fe49954f2

Observation 735729b9-0b77-4381-976a-939777c34e15 · outbound

This paper cites Text Summarization using Abstract Meaning Representation.

Retrieval-Augmented Generation with Graphs (GraphRAG) Text Summarization using Abstract Meaning Representation

Reference 88

Resolution
verified exact
local_arxiv, observed 2026-05-18T04:33:39.692276Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-18T04:33:39.076517Z digest=sha256:cdb67a15b76a45bc4367d3e591f68eb266d029ad512e6d63d809dad571bf7b8a

Observation fa3087fd-20cc-4a2a-91c9-eeb00e0c72e6 · outbound

This paper cites Large language models for tabular data: Progresses and future directions.

Retrieval-Augmented Generation with Graphs (GraphRAG) Large language models for tabular data: Progresses and future directions

Reference 89

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T04:35:52.981472Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-18T04:33:39.076517Z digest=sha256:8c01284d6d5737bdd75e86cd1b8a3e8681f13a2075a09b8e0a242357618caac7

Observation 578f954b-e7a8-40cd-a9dc-64086b6caf1c · outbound

This paper cites Don't Forget to Connect! Improving RAG with Graph-based Reranking.

Retrieval-Augmented Generation with Graphs (GraphRAG) Don't Forget to Connect! Improving RAG with Graph-based Reranking

Reference 90

Resolution
metadata mismatch
arxiv_id, observed 2026-05-18T04:33:39.722646Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-18T04:33:39.076517Z digest=sha256:56fa98c5d98c20f8dfdef6b746ef8edb88f8f1fad262a09c4c3129f90927e378

Observation f59dcc16-62f0-4b62-805f-9e3997df1754 · outbound

This paper cites Deciphering spatial domains from spatially resolved transcriptomics with an adaptive graph attention auto-encoder.

Retrieval-Augmented Generation with Graphs (GraphRAG) Deciphering spatial domains from spatially resolved transcriptomics with an adaptive graph attention auto-encoder

Reference 91

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T04:35:52.908726Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-18T04:33:39.076517Z digest=sha256:90fc846d52b47b42f6d49e6d064cde272ad770139977725aa539900856781e1f

Observation c81af0d0-d372-4450-b743-f3e0daf03416 · outbound

This paper cites Learning to generate product reviews from attributes.

Retrieval-Augmented Generation with Graphs (GraphRAG) Learning to generate product reviews from attributes

Reference 92

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T04:35:52.801046Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-18T04:33:39.076517Z digest=sha256:9a5e3d52dffb370656a6f773711c8537ca28d2463bcf37ef768e6f86edea1d23

Observation d5b49b31-0691-47f6-8c55-c9156fd128b6 · outbound

This paper cites Learning structural node embeddings via diffusion wavelets.

Retrieval-Augmented Generation with Graphs (GraphRAG) Learning structural node embeddings via diffusion wavelets

Reference 93

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T04:35:52.927468Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-18T04:33:39.076517Z digest=sha256:9704795925b013dfca08ff1c485755cfcdefc00ac7b11b17d632327cfb012dc7

Observation 20ed2f7d-593f-4dc8-b55e-c86fdea4d147 · outbound

This paper cites Learning enhanced representation for tabular data via neighborhood propagation.

Retrieval-Augmented Generation with Graphs (GraphRAG) Learning enhanced representation for tabular data via neighborhood propagation

Reference 94

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T04:35:52.782283Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-18T04:33:39.076517Z digest=sha256:7f78f88692af0902294b906e24da2f70048a656d38cd76054e96727c834eecc4

Observation fbccf27c-9e7a-4264-9215-167490c12741 · outbound

This paper cites Large Language Model with Graph Convolution for Recommendation.

Retrieval-Augmented Generation with Graphs (GraphRAG) Large Language Model with Graph Convolution for Recommendation

Reference 95

Resolution
verified exact
arxiv_id, observed 2026-05-18T04:33:39.752646Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-18T04:33:39.076517Z digest=sha256:a2d463e0cab997a71f69bd2ec164954d22324633b1c23ee3a519920ef63266d8

Observation 277e573a-b6fe-42ef-bdd2-f242c9f6c463 · outbound

This paper cites Uci machine learning repository.

Retrieval-Augmented Generation with Graphs (GraphRAG) Uci machine learning repository

Reference 96

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T04:35:52.831981Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-18T04:33:39.076517Z digest=sha256:6447edf77e76fc8fc82de6e865cbb479f78cfcefef246864b3b4cc7e8e4b8e03

Observation 5c4beff2-7b5d-484a-8b0f-571e890a3db6 · outbound

This paper cites Faith and fate: Limits of transformers on compositionality.

Retrieval-Augmented Generation with Graphs (GraphRAG) Faith and fate: Limits of transformers on compositionality

Reference 97

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T04:35:52.857781Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-18T04:33:39.076517Z digest=sha256:ae20d8b62d91225275d9d071ae9184472d8d3dcda3475956aa2d76e4957cc82f

Observation 1f1a0181-54ee-4a4d-9840-2438465a5cd3 · outbound

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

Retrieval-Augmented Generation with Graphs (GraphRAG) From Local to Global: A Graph RAG Approach to Query-Focused Summarization

Reference 98

Resolution
verified exact
local_arxiv, observed 2026-05-18T04:33:39.809801Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-18T04:33:39.076517Z digest=sha256:c2def748520aa7499b3abf004bb0033f6d2e3436cdb07a82a6dd64756038eef0

Observation b131fe42-869b-463a-930c-41dceefca382 · outbound

This paper cites Using llms and explainable ml to analyze biomarkers at single-cell level for improved understanding of diseases.

Retrieval-Augmented Generation with Graphs (GraphRAG) Using llms and explainable ml to analyze biomarkers at single-cell level for improved understanding of diseases

Reference 99

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T04:35:52.772301Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-18T04:33:39.076517Z digest=sha256:6d3c018ba539b59fdcdc621615d1cdbad53676fe5ca438ce674ce0443c64885c

Observation 0f70138e-0e7b-4d17-b9d9-4671616394b6 · outbound

This paper cites On random graphs i.

Retrieval-Augmented Generation with Graphs (GraphRAG) On random graphs i

Reference 100

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T04:35:52.769632Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-18T04:33:39.076517Z digest=sha256:3ada14fc92120c7db6c787d6738ee5d589d958ee719b5ae0ea0fc00fb434229b

Pith citing papers

Observation 285ba45e-8f1b-44c4-86ae-425b11cdc00e · inbound

SimGRAG: Leveraging Similar Subgraphs for Knowledge Graphs Driven Retrieval-Augmented Generation cites this paper.

SimGRAG: Leveraging Similar Subgraphs for Knowledge Graphs Driven Retrieval-Augmented Generation Retrieval-Augmented Generation with Graphs (GraphRAG)

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-11T13:35:04.940139Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T13:35:04.940139Z digest=sha256:a6c8abad87177082240550de9b8156b56e805308e921c7a81dc79dcc5a0e79cd

Observation 4ca3e011-109e-4dd0-8094-6596bfaf5af5 · inbound

In-depth Analysis of Graph-based RAG in a Unified Framework cites this paper.

In-depth Analysis of Graph-based RAG in a Unified Framework Retrieval-Augmented Generation with Graphs (GraphRAG)

Reference 25

Resolution
verified exact
local_arxiv, observed 2026-05-23T01:37:22.313883Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-23T01:36:25.057478Z digest=sha256:e76464a1f556fa37d7487aa3c76a4d8e20604c19632b165c3bb4868c12f844b2

Observation d801a8b6-4476-4896-831d-419fe56ad7e0 · inbound

Privacy-Preserving Federated Embedding Learning for Localized Retrieval-Augmented Generation cites this paper.

Privacy-Preserving Federated Embedding Learning for Localized Retrieval-Augmented Generation Retrieval-Augmented Generation with Graphs (GraphRAG)

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-16T06:05:57.466919Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T06:05:57.466919Z digest=sha256:a27ac57accd40f647bd8d6498298d8049cf2a1b7de0a7adefd03a41098a330cf

Observation 4c7aa01b-1d67-4cd6-9137-e447c85f51df · inbound

OpenTCM: A GraphRAG-Empowered LLM-based System for Traditional Chinese Medicine Knowledge Retrieval and Diagnosis cites this paper.

OpenTCM: A GraphRAG-Empowered LLM-based System for Traditional Chinese Medicine Knowledge Retrieval and Diagnosis Retrieval-Augmented Generation with Graphs (GraphRAG)

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-16T05:52:33.653307Z

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source=pdf_text observed=2026-08-16T05:52:33.653307Z digest=sha256:e93b9e602435d73e366424e4a5219ce2c134637853a0eb8a96f9cb9bbf7a3bc1

Observation 425e91c2-42d3-4df9-8d48-2c642db41efe · inbound

Memorization and Knowledge Injection in Gated LLMs cites this paper.

Memorization and Knowledge Injection in Gated LLMs Retrieval-Augmented Generation with Graphs (GraphRAG)

Reference 27

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no resolver link, observed 2026-08-16T05:16:41.292771Z

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source=arxiv_source observed=2026-08-16T05:16:41.292771Z digest=sha256:7e7d3f56530079628f1d9b47ef85a81b8822463159fdb18d08a05e3cab812caa

Observation 39f59f93-e610-4774-b5e4-8daea37cee26 · inbound

SymbioticRAG: Enhancing Document Intelligence Through Human-LLM Symbiotic Collaboration cites this paper.

SymbioticRAG: Enhancing Document Intelligence Through Human-LLM Symbiotic Collaboration Retrieval-Augmented Generation with Graphs (GraphRAG)

Reference 15

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no resolver link, observed 2026-08-16T00:56:55.650936Z

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source=arxiv_source observed=2026-08-16T00:56:55.650936Z digest=sha256:6d481c9a05c33a336e75eac21b00e8d6408a1455dad9c934ee97bfa86ccf193b

Observation 1843f521-eb95-4a53-a4ff-e78ecf1c30f9 · inbound

Knowledge Augmented Complex Problem Solving with Large Language Models: A Survey cites this paper.

Knowledge Augmented Complex Problem Solving with Large Language Models: A Survey Retrieval-Augmented Generation with Graphs (GraphRAG)

Reference 48

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no resolver link, observed 2026-08-15T23:56:01.959719Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-15T23:56:01.959719Z digest=sha256:90f253e09dedfe6e733186f409c5a17193c6ba09c955dca3ecd2b2dd52261c94

Observation a4294cf2-6451-4ec3-9b4a-11270090e3ff · inbound

Harmonia: End-to-End RAG Serving Optimization cites this paper.

Harmonia: End-to-End RAG Serving Optimization Retrieval-Augmented Generation with Graphs (GraphRAG)

Reference 26

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no resolver link, observed 2026-08-16T04:40:04.433410Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-16T04:40:04.433410Z digest=sha256:ab5b3d4973b0ce94b77e5f19a49b4e71eacb8427e85db684a2496d828a443b21

Observation 67d002f8-f6ce-44f6-8034-cdd7170b9787 · inbound

SubGCache: Accelerating Graph-based RAG with Subgraph-level KV Cache cites this paper.

SubGCache: Accelerating Graph-based RAG with Subgraph-level KV Cache Retrieval-Augmented Generation with Graphs (GraphRAG)

Reference 14

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no resolver link, observed 2026-08-15T21:05:40.016023Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-15T21:05:40.016023Z digest=sha256:f2c1acc665ba1b0258cbdde8cadebff2257435ddf6a6926574856fcae136b0b9

Observation 800679b7-eccf-4361-aec7-67e32cbb4f01 · inbound

PersonaBOT: Bringing Customer Personas to Life with LLMs and RAG cites this paper.

PersonaBOT: Bringing Customer Personas to Life with LLMs and RAG Retrieval-Augmented Generation with Graphs (GraphRAG)

Reference 37

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no resolver link, observed 2026-08-07T15:01:02.479546Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-07T15:01:02.479546Z digest=sha256:4ec27e794313f908fcc61b509d7032e4d920187048db68454cd6a1af79513911

Observation 9b86dcb6-f438-402a-a9a7-c93e38d51aba · inbound

Hypercube-Based Retrieval-Augmented Generation for Scientific Question-Answering cites this paper.

Hypercube-Based Retrieval-Augmented Generation for Scientific Question-Answering Retrieval-Augmented Generation with Graphs (GraphRAG)

Reference 13

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no resolver link, observed 2026-08-07T14:21:54.557760Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-07T14:21:54.557760Z digest=sha256:9a863f92b228c391cbeb7090b1d30d1803efb4e7971188104523dec793bb5ca3

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

Optimizing the Interface Between Knowledge Graphs and LLMs for Complex Reasoning cites this paper.

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

Reference 14

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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=sha256:6ae3a7af99d5b635c72aca0e35163e62ca271f7f0cc57be082a9e09f8317e0e2

Observation 31437aac-2a3d-456d-9f8f-39960b61ff55 · inbound

AutoChemSchematic AI: Agentic Physics-Aware Automation for Chemical Manufacturing Scale-Up cites this paper.

AutoChemSchematic AI: Agentic Physics-Aware Automation for Chemical Manufacturing Scale-Up Retrieval-Augmented Generation with Graphs (GraphRAG)

Reference 17

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no resolver link, observed 2026-08-07T12:35:27.359712Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:35:27.359712Z digest=sha256:78f45c6e294ef2cde7a1dd2eab510969faf03145ff9e11bc1f77eb10a2d0268d

Observation aedea759-c1d4-422f-bc74-d0649ca28f24 · inbound

RACE-Align: Retrieval-Augmented and Chain-of-Thought Enhanced Preference Alignment for Large Language Models cites this paper.

RACE-Align: Retrieval-Augmented and Chain-of-Thought Enhanced Preference Alignment for Large Language Models Retrieval-Augmented Generation with Graphs (GraphRAG)

Reference 36

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no resolver link, observed 2026-08-07T11:21:41.722040Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:21:41.722040Z digest=sha256:175e1ac92c7c3619f0ee49ccb65e74b1ab4d59cd4cd4301c02be62071b62114b

Observation 22b5743e-5bd1-4979-b984-fecce3025360 · inbound

A Graph-Retrieval-Augmented Generation Framework Enhances Decision-Making in the Circular Economy cites this paper.

A Graph-Retrieval-Augmented Generation Framework Enhances Decision-Making in the Circular Economy Retrieval-Augmented Generation with Graphs (GraphRAG)

Reference 33

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no resolver link, observed 2026-08-07T12:01:19.968868Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-07T12:01:19.968868Z digest=sha256:e805f01fd8dc59d0a863ccab28a1a5a6699cf1e4561f94ea6e5301e47f645289

Observation 7b84d0c7-a2f8-4e13-981b-ec0c425159ad · inbound

How Significant Are the Real Performance Gains? An Unbiased Evaluation Framework for GraphRAG cites this paper.

How Significant Are the Real Performance Gains? An Unbiased Evaluation Framework for GraphRAG Retrieval-Augmented Generation with Graphs (GraphRAG)

Reference 13

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no resolver link, observed 2026-08-07T12:09:54.253352Z

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source=pdf_text observed=2026-08-07T12:09:54.253352Z digest=sha256:bcd7f26a3421495aae96cbc87ea19a083246cbb790f3b1f00703f8f3364259c7

Observation 786f2e64-2df6-46ef-a9db-c421b04aaddb · inbound

LlamaRec-LKG-RAG: A Single-Pass, Learnable Knowledge Graph-RAG Framework for LLM-Based Ranking cites this paper.

LlamaRec-LKG-RAG: A Single-Pass, Learnable Knowledge Graph-RAG Framework for LLM-Based Ranking Retrieval-Augmented Generation with Graphs (GraphRAG)

Reference 11

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no resolver link, observed 2026-08-07T05:40:09.718989Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-07T05:40:09.718989Z digest=sha256:27a610516514588c7f7194a8ce3b0ba9bd008a73af6a907e9ad8cf4ddd09d698

Observation 2957ab27-b1ee-41c2-925c-3fca37c7256c · inbound

Persistent Homology of Topic Networks for the Prediction of Reader Curiosity cites this paper.

Persistent Homology of Topic Networks for the Prediction of Reader Curiosity Retrieval-Augmented Generation with Graphs (GraphRAG)

Reference 22

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no resolver link, observed 2026-08-07T10:17:46.330778Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T10:17:46.330778Z digest=sha256:995d73771b7c00fb29feb464f67d3ad2d68654788248a5a5df9509bfe1c867f2

Observation a140c81e-c2de-44e2-9aff-1d91d0ea16b5 · inbound

GraphRAG-Causal: A novel graph-augmented framework for causal reasoning and annotation in news cites this paper.

GraphRAG-Causal: A novel graph-augmented framework for causal reasoning and annotation in news Retrieval-Augmented Generation with Graphs (GraphRAG)

Reference 11

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no resolver link, observed 2026-08-07T04:07:20.025264Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:07:20.025264Z digest=sha256:7587b41972020269224dd5ff9ea20ecb9f6a18219531ac6ad2b52da6348ce510

Observation c1faa3bd-357b-46c2-a423-4f9b10db6a98 · inbound

EraRAG: Efficient and Incremental Retrieval Augmented Generation for Growing Corpora cites this paper.

EraRAG: Efficient and Incremental Retrieval Augmented Generation for Growing Corpora Retrieval-Augmented Generation with Graphs (GraphRAG)

Reference 26

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no resolver link, observed 2026-08-06T22:44:01.696766Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-06T22:44:01.696766Z digest=sha256:604d821756f416398f3054d6deb0a933ad3b3dc345962f877dabd3081e263dcd

Observation 8c2c1f6f-74b8-4feb-b0d5-786a8571d543 · inbound

Weak-to-Strong GraphRAG: Aligning Weak Retrievers with Large Language Models for Graph-based Retrieval Augmented Generation cites this paper.

Weak-to-Strong GraphRAG: Aligning Weak Retrievers with Large Language Models for Graph-based Retrieval Augmented Generation Retrieval-Augmented Generation with Graphs (GraphRAG)

Reference 24

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no resolver link, observed 2026-08-06T22:31:19.202996Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T22:31:19.202996Z digest=sha256:2ce79cd93d16c96d395ac33cbefd71a97cf6089636a9f084a467afd35cb09db9

Observation d5dcfacb-b043-4052-8567-b23519211305 · inbound

Ella: Embodied Social Agents with Lifelong Memory cites this paper.

Ella: Embodied Social Agents with Lifelong Memory Retrieval-Augmented Generation with Graphs (GraphRAG)

Reference 30

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no resolver link, observed 2026-08-06T21:30:52.845455Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:30:52.845455Z digest=sha256:ba469d333ef30fbb781583c98be6ebfca2dcee3cc5f3b49800357da3e027cf47

Observation 4e6063a6-2ba9-4b76-a7f5-327b47e88a76 · inbound

MobileRAG: A Fast, Memory-Efficient, and Energy-Efficient Method for On-Device RAG cites this paper.

MobileRAG: A Fast, Memory-Efficient, and Energy-Efficient Method for On-Device RAG Retrieval-Augmented Generation with Graphs (GraphRAG)

Reference 2025

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no resolver link, observed 2026-08-06T21:11:18.344615Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-06T21:11:18.344615Z digest=sha256:d2c236cbb90bc4818dbb291c387060d9cb180de6963e8da515f246fa5256903f

Observation 5b3ea30f-eb57-416b-88c5-32757f087b83 · inbound

RAG Safety: Exploring Knowledge Poisoning Attacks to Retrieval-Augmented Generation cites this paper.

RAG Safety: Exploring Knowledge Poisoning Attacks to Retrieval-Augmented Generation Retrieval-Augmented Generation with Graphs (GraphRAG)

Reference 8

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no resolver link, observed 2026-08-06T19:01:14.417954Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:01:14.417954Z digest=sha256:b55e1991784473259e0a732387426cec631ca3540991f72527e7570a270f4e59

Observation c2749f16-9a19-45d3-8184-15280b45738d · inbound

Introducing the Swiss Food Knowledge Graph: AI for Context-Aware Nutrition Recommendation cites this paper.

Introducing the Swiss Food Knowledge Graph: AI for Context-Aware Nutrition Recommendation Retrieval-Augmented Generation with Graphs (GraphRAG)

Reference 20

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no resolver link, observed 2026-08-06T17:43:12.237934Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:43:12.237934Z digest=sha256:84259894622d183aae174cec28b14010da7295ccf3c598730d9afd1b9bcceb6b

Observation 6e341c89-d06f-4749-996e-0e6924a222f3 · inbound

DyG-RAG: Dynamic Graph Retrieval-Augmented Generation with Event-Centric Reasoning cites this paper.

DyG-RAG: Dynamic Graph Retrieval-Augmented Generation with Event-Centric Reasoning Retrieval-Augmented Generation with Graphs (GraphRAG)

Reference 28

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no resolver link, observed 2026-08-06T16:58:04.454027Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-06T16:58:04.454027Z digest=sha256:d84536a658d71659955288bf3741607eb3f4c9948d8ac2f01ba0699825ba9a73

Observation 50ca63d5-b7f1-4c4f-8021-8be31cf67d43 · inbound

A Systematic Review of Key Retrieval-Augmented Generation (RAG) Systems: Progress, Gaps, and Future Directions cites this paper.

A Systematic Review of Key Retrieval-Augmented Generation (RAG) Systems: Progress, Gaps, and Future Directions Retrieval-Augmented Generation with Graphs (GraphRAG)

Reference 29

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no resolver link, observed 2026-08-15T18:08:11.641262Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-15T18:08:11.641262Z digest=sha256:5080a472479b515dfac5a73c59f0f19ec686762ad788f4066fb61d860742690c

Observation ba6f9a22-ac87-461d-b8ca-66aa536147a0 · inbound

A Graph-based Approach for Multi-Modal Question Answering from Flowcharts in Telecom Documents cites this paper.

A Graph-based Approach for Multi-Modal Question Answering from Flowcharts in Telecom Documents Retrieval-Augmented Generation with Graphs (GraphRAG)

Reference 2024

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no resolver link, observed 2026-08-15T18:08:21.439475Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T18:08:21.439475Z digest=sha256:54668058e49917b5e2ae6eddf23153141bfc140e34267ac05c1501ef8539b6d2

Observation 73f3eed6-b337-4d5d-8f1c-54c701bd0ebc · inbound

Orchid: Orchestrating Context Across Creative Workflows with Generative AI cites this paper.

Orchid: Orchestrating Context Across Creative Workflows with Generative AI Retrieval-Augmented Generation with Graphs (GraphRAG)

Reference 20

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no resolver link, observed 2026-08-15T16:54:04.187272Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-15T16:54:04.187272Z digest=sha256:c635ebf548edd8e15eca124dc46259b32a28d24256acd083e2bfa42d2c851800

Observation 3333702b-ac3c-40c8-9fcf-92e99a40a774 · inbound

Youtu-GraphRAG: Vertically Unified Agents for Graph Retrieval-Augmented Complex Reasoning cites this paper.

Youtu-GraphRAG: Vertically Unified Agents for Graph Retrieval-Augmented Complex Reasoning Retrieval-Augmented Generation with Graphs (GraphRAG)

Reference 8

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no resolver link, observed 2026-08-05T15:29:57.258609Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T15:29:57.258609Z digest=sha256:e9758fd10d407f759dbdbbdbb287e78e8462251ad6248ed5452e67f2661a8f04

Observation 5defb072-f0a3-4dd9-a5ed-01eca2fe3e35 · 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 Retrieval-Augmented Generation with Graphs (GraphRAG)

Reference 14

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no resolver link, observed 2026-08-05T13:36:36.357858Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T13:36:36.357858Z digest=sha256:7cff34e426da90452c92e42907306ca603c9e4a23a445a00adbb852fc698a958

Observation 69897223-b879-4940-b107-da8c8d2c9f74 · inbound

Improving Factuality in LLMs via Inference-Time Knowledge Graph Construction cites this paper.

Improving Factuality in LLMs via Inference-Time Knowledge Graph Construction Retrieval-Augmented Generation with Graphs (GraphRAG)

Reference 12

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verified exact
local_arxiv, observed 2026-05-18T19:26:47.203469Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-05-18T19:26:35.001429Z digest=sha256:75616ec13d79e1476035e3dc838e4aca1e5f3bdaf37d47fae87a8b35b0f0f0e8

Observation f3a777a8-518c-4af9-9d7c-ec7b07b55102 · inbound

KGRAG-SC: Knowledge Graph RAG-Assisted Semantic Communication cites this paper.

KGRAG-SC: Knowledge Graph RAG-Assisted Semantic Communication Retrieval-Augmented Generation with Graphs (GraphRAG)

Reference 12

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no resolver link, observed 2026-08-15T16:29:08.908472Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-15T16:29:08.908472Z digest=sha256:dbdc82a802cd72ea2012d9793c89d4c2e5a3b887bc6093dbee91e90840f594b6

Observation 7a07cde2-8ecc-4f48-b846-999684f8a047 · inbound

G-reasoner: Foundation Models for Unified Reasoning over Graph-structured Knowledge cites this paper.

G-reasoner: Foundation Models for Unified Reasoning over Graph-structured Knowledge Retrieval-Augmented Generation with Graphs (GraphRAG)

Reference 13

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verified exact
local_arxiv, observed 2026-05-18T13:26:25.064071Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-05-18T13:23:30.218806Z digest=sha256:81855a69b0b1011e8c996ee71d392a08b919fd4c788b343baeedd385ae540061

Observation 2b103369-c559-46d4-9482-bd25a188ce1f · inbound

REBot: From RAG to CatRAG with Semantic Enrichment and Graph Routing cites this paper.

REBot: From RAG to CatRAG with Semantic Enrichment and Graph Routing Retrieval-Augmented Generation with Graphs (GraphRAG)

Reference 8

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no resolver link, observed 2026-08-04T12:53:27.411380Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T12:53:27.411380Z digest=sha256:cdf700cdd406d5024ab6e4db1b8ce950d81ae483b2f594b6d98805c07dad743c

Observation f1d2e2ca-ff00-4eab-89f6-d63d2f724934 · inbound

Search-R3: Unifying Reasoning and Embedding in Large Language Models cites this paper.

Search-R3: Unifying Reasoning and Embedding in Large Language Models Retrieval-Augmented Generation with Graphs (GraphRAG)

Reference 22

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verified exact
local_arxiv, observed 2026-05-18T09:26:10.635774Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-18T09:25:06.990685Z digest=sha256:54a9643c8f04faff9e5492c0b32c4c920a70ba7284ab473cd12d3d84aea0ae48

Observation 04af68b2-0990-4f93-9e1f-9aab4042c8bd · inbound

Sentra-Guard: A Real-Time Multilingual Defense Against Adversarial LLM Prompts cites this paper.

Sentra-Guard: A Real-Time Multilingual Defense Against Adversarial LLM Prompts Retrieval-Augmented Generation with Graphs (GraphRAG)

Reference 18

Resolution
verified exact
arxiv_id, observed 2026-05-18T04:33:40.134243Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-18T04:22:54.943043Z digest=sha256:fe951ed2ff6bf322a513cc94a2d7f94ac847f56f2368bfe2b5f096c53ac0a042

Observation f0dd5def-2010-4e86-8466-603960b7c032 · inbound

Leveraging Spreading Activation for Improved Document Retrieval in Knowledge-Graph-Based RAG Systems cites this paper.

Leveraging Spreading Activation for Improved Document Retrieval in Knowledge-Graph-Based RAG Systems Retrieval-Augmented Generation with Graphs (GraphRAG)

Reference 8

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unresolved
no resolver link, observed 2026-08-03T15:45:14.451284Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T15:45:14.451284Z digest=sha256:79eb6c083fade317c7e8f5138478e8e7f8d6a85622b8a8dc3bd94d34b1676ae9

Observation 97f1cbd9-a747-46f6-9b36-b0fa602a4d59 · inbound

HypRAG: Hyperbolic Dense Retrieval for Retrieval Augmented Generation cites this paper.

HypRAG: Hyperbolic Dense Retrieval for Retrieval Augmented Generation Retrieval-Augmented Generation with Graphs (GraphRAG)

Reference 552

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malformed identifier
no resolver link, observed 2026-08-03T03:35:11.966706Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T03:35:11.966706Z digest=sha256:da8ac435f069c6b5ed19054784327f837debb8a79ae9518ab623cf55e27d4ff3

Observation 3ab39cc6-0736-4cda-9ad1-496ed4b7ebbd · inbound

Benchmarking Knowledge-Extraction Attack and Defense on Retrieval-Augmented Generation cites this paper.

Benchmarking Knowledge-Extraction Attack and Defense on Retrieval-Augmented Generation Retrieval-Augmented Generation with Graphs (GraphRAG)

Reference 37

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unresolved
no resolver link, observed 2026-08-03T03:04:47.774722Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T03:04:47.774722Z digest=sha256:2017138c4d738743180e996afa810dbdae978e7ff371bbdf09c44406607bea5b

Observation 3446c86d-7861-478b-bb18-5e5a7bb1ac12 · inbound

HyMem: Hybrid Memory Architecture with Dynamic Retrieval Scheduling cites this paper.

HyMem: Hybrid Memory Architecture with Dynamic Retrieval Scheduling Retrieval-Augmented Generation with Graphs (GraphRAG)

Reference 14

Resolution
verified exact
arxiv_id, observed 2026-05-18T04:33:40.134243Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-15T21:58:30.784843Z digest=sha256:01592a598ae9ebb1bfde2fa1737262c0eeb319e8b02277f51f36a266862bca20

Observation d1602f5d-5baa-4329-b8be-8c549aa46de2 · inbound

UnWeaving the knots of GraphRAG -- turns out VectorRAG is almost enough cites this paper.

UnWeaving the knots of GraphRAG -- turns out VectorRAG is almost enough Retrieval-Augmented Generation with Graphs (GraphRAG)

Reference 7

Resolution
metadata mismatch
arxiv_id, observed 2026-05-18T04:33:40.134243Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-16T06:58:44.096568Z digest=sha256:052f7ffc59d6e9742cfbd80043fbc3f5a1adeae53a48ea9bbcb0113c9724af48

Observation 55b75370-4d8f-434d-a935-f773e5a53c01 · inbound

UnWeaving the knots of GraphRAG -- turns out VectorRAG is almost enough cites this paper.

UnWeaving the knots of GraphRAG -- turns out VectorRAG is almost enough Retrieval-Augmented Generation with Graphs (GraphRAG)

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-03T03:54:16.982164Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T03:54:16.982164Z digest=sha256:892389f982a875dd7eec739c828acb7fd27c503dc1560c559a42cb5fd0934f92

Observation 255bc24f-a09f-4dc6-81cb-7790a844ed61 · inbound

Exploring Robust Multi-Agent Workflows for Environmental Data Management cites this paper.

Exploring Robust Multi-Agent Workflows for Environmental Data Management Retrieval-Augmented Generation with Graphs (GraphRAG)

Reference 2025

Resolution
unresolved
no resolver link, observed 2026-08-02T16:57:53.454282Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T16:57:53.454282Z digest=sha256:60295a3c9eecb62a3048f63a61fc4a2f7c05c399cef06c10b49ab3df9da363d3

Observation 2392fbe4-d308-4701-a7de-65e82c7a2447 · inbound

Memory in the LLM Era: Modular Architectures and Strategies in a Unified Framework cites this paper.

Memory in the LLM Era: Modular Architectures and Strategies in a Unified Framework Retrieval-Augmented Generation with Graphs (GraphRAG)

Reference 26

Resolution
verified exact
arxiv_id, observed 2026-05-18T04:33:40.134243Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-13T22:03:55.582645Z digest=sha256:46ebe9ad6b1d6c1490a38e74031f5ce6df253eba5ef27cf4cd636dd5d67dc149

Observation 5aa3a9f6-0918-472a-a029-8b438ad48269 · inbound

Beyond the Parameters: A Technical Survey of Contextual Enrichment in Large Language Models: From In-Context Prompting to Causal Retrieval-Augmented Generation cites this paper.

Beyond the Parameters: A Technical Survey of Contextual Enrichment in Large Language Models: From In-Context Prompting to Causal Retrieval-Augmented Generation Retrieval-Augmented Generation with Graphs (GraphRAG)

Reference 7

Resolution
metadata mismatch
arxiv_id, observed 2026-05-18T04:33:40.134243Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-13T20:02:02.300824Z digest=sha256:98d6bf270bd81fd8bffc67ee015c5cde52e67d6bc155a17f78bd70d80582524d

Observation eb438ec0-a664-4270-9ef9-33fab57616bd · inbound

Graph-to-Frame RAG: Visual-Space Knowledge Fusion for Training-Free and Auditable Video Reasoning cites this paper.

Graph-to-Frame RAG: Visual-Space Knowledge Fusion for Training-Free and Auditable Video Reasoning Retrieval-Augmented Generation with Graphs (GraphRAG)

Reference 19

Resolution
verified exact
arxiv_id, observed 2026-05-18T04:33:40.134243Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-10T19:46:16.975267Z digest=sha256:c75249568e0dc7fa8e64891427554ba2c3cbc1247a54975c607a28796d421e2b

Observation 5f50eca5-078f-484a-8569-6582586a18b5 · inbound

Do We Still Need GraphRAG? Benchmarking RAG and GraphRAG for Agentic Search Systems cites this paper.

Do We Still Need GraphRAG? Benchmarking RAG and GraphRAG for Agentic Search Systems Retrieval-Augmented Generation with Graphs (GraphRAG)

Reference 10

Resolution
verified exact
arxiv_id, observed 2026-05-18T04:33:40.134243Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-13T22:35:18.954951Z digest=sha256:b48b2be3b7042df60f939bf1d5ae2d73c736c5b2f3cd790ca93cde83e204a2a3

Observation 543dd315-e6f7-42ad-a785-cd8b193f4629 · inbound

Injecting Structured Biomedical Knowledge into Language Models: Continual Pretraining vs. GraphRAG cites this paper.

Injecting Structured Biomedical Knowledge into Language Models: Continual Pretraining vs. GraphRAG Retrieval-Augmented Generation with Graphs (GraphRAG)

Reference 12

Resolution
metadata mismatch
arxiv_id, observed 2026-05-18T04:33:40.134243Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-13T20:10:41.883261Z digest=sha256:c050c8367c2ef666ddc9b1ec37b011a1ba1a7913b4fdaaee2bdb834576c88f8e

Observation e513ffbf-bf01-40a0-b68b-3fb6185d4526 · inbound

BizCompass: Benchmarking the Reasoning Capabilities of LLMs in Business Knowledge and Applications cites this paper.

BizCompass: Benchmarking the Reasoning Capabilities of LLMs in Business Knowledge and Applications Retrieval-Augmented Generation with Graphs (GraphRAG)

Reference 3

Resolution
metadata mismatch
arxiv_id, observed 2026-05-18T04:33:40.134243Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-10T05:52:40.026883Z digest=sha256:4e7114d908ad0b791697a9cb8ece6a468538dcb29d6bef7126a06f9f2287c260

Observation 8e6213c5-fdca-429f-a256-5489113728fe · inbound

Development and Preliminary Evaluation of a Domain-Specific Large Language Model for Tuberculosis Care in South Africa cites this paper.

Development and Preliminary Evaluation of a Domain-Specific Large Language Model for Tuberculosis Care in South Africa Retrieval-Augmented Generation with Graphs (GraphRAG)

Reference 34

Resolution
verified exact
arxiv_id, observed 2026-05-18T04:33:40.134243Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-14T22:48:41.826046Z digest=sha256:c2f4fa4104f46c347daf6b95fdd383dae319b4a64ba5e70d2c0139b61a848393

Observation 714c246a-3594-4ec7-8e03-3d3f0548c86f · inbound

Automatic Ontology Construction Using LLMs as an External Layer of Memory, Verification, and Planning for Hybrid Intelligent Systems cites this paper.

Automatic Ontology Construction Using LLMs as an External Layer of Memory, Verification, and Planning for Hybrid Intelligent Systems Retrieval-Augmented Generation with Graphs (GraphRAG)

Reference 7

Resolution
verified exact
arxiv_id, observed 2026-05-18T04:33:40.134243Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-09T23:38:04.276214Z digest=sha256:600c0ba0c500415631d3a3a6654f2a328c997e9bf377721ba0ed2280aee13f9e

Observation 18e5e1fd-04ab-45c1-bcf0-638e4b95a209 · inbound

XGRAG: A Graph-Native Framework for Explaining KG-based Retrieval-Augmented Generation cites this paper.

XGRAG: A Graph-Native Framework for Explaining KG-based Retrieval-Augmented Generation Retrieval-Augmented Generation with Graphs (GraphRAG)

Reference 11

Resolution
verified exact
arxiv_id, observed 2026-05-18T04:33:40.134243Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-05-08T03:26:18.733886Z digest=sha256:1fb701bccaeb9766d9028b0e0c8266867aa5be818a58f6dee1ce1d36f02c3ec8

Observation 92d0793b-456f-4712-8309-b8494091fefa · inbound

NeocorRAG: Less Irrelevant Information, More Explicit Evidence, and More Effective Recall via Evidence Chains cites this paper.

NeocorRAG: Less Irrelevant Information, More Explicit Evidence, and More Effective Recall via Evidence Chains Retrieval-Augmented Generation with Graphs (GraphRAG)

Reference 19

Resolution
metadata mismatch
arxiv_id, observed 2026-05-18T04:33:40.134243Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-07T07:19:44.756174Z digest=sha256:3de0f47e37cd40d71ab7ec00a201f6848f9206abc471bfcc296f3ee83c3153e9

Observation 8334d6ca-dc5b-47b5-a451-069c7355b89b · inbound

LARAG: Link-Aware Retrieval Strategy for RAG Systems in Hyperlinked Technical Documentation cites this paper.

LARAG: Link-Aware Retrieval Strategy for RAG Systems in Hyperlinked Technical Documentation Retrieval-Augmented Generation with Graphs (GraphRAG)

Reference 13

Resolution
verified exact
arxiv_id, observed 2026-05-18T04:33:40.134243Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-11T02:15:18.274343Z digest=sha256:b591e07700b306be7fff706bae560cf9719d1a259b53a1a42d934b3766f2c840

Observation 9b40484f-017e-4e6b-9dfb-c80f229e9514 · inbound

AssemPlanner: A Multi-Agent Based Task Planning Framework for Flexible Assembly System cites this paper.

AssemPlanner: A Multi-Agent Based Task Planning Framework for Flexible Assembly System Retrieval-Augmented Generation with Graphs (GraphRAG)

Reference 16

Resolution
verified exact
arxiv_id, observed 2026-05-18T04:33:40.134243Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-12T01:35:25.669239Z digest=sha256:cb3fa58a890fbcebe18646356c203dcac27291eac401a592f65c212235d2aaa1

Observation 774ae7e9-e093-4d2d-81dd-9a6cf8f28c93 · inbound

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

Why Retrieval-Augmented Generation Fails: A Graph Perspective Retrieval-Augmented Generation with Graphs (GraphRAG)

Reference 26

Resolution
verified exact
arxiv_id, observed 2026-05-18T04:33:40.134243Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-15T04:47:44.904830Z digest=sha256:c0c77f0b006847554142142d8d8c8418be6a2ec0a3e4e585c6a204637094b196

Observation abda4f77-5298-4a88-b661-0b7474847f21 · inbound

Hypergraph Enterprise Agentic Reasoner over Heterogeneous Business Systems cites this paper.

Hypergraph Enterprise Agentic Reasoner over Heterogeneous Business Systems Retrieval-Augmented Generation with Graphs (GraphRAG)

Reference 28

Resolution
metadata mismatch
arxiv_id, observed 2026-05-18T04:33:40.134243Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-15T02:34:08.115027Z digest=sha256:3ca0a76a49cd74b6b4877be734de8aa55fdcba9c6cc4119246515335d677be7e

Observation 2c74fa91-fa21-40b3-8d54-54e9257e4a5c · inbound

GraphMind: From Operational Traces to Self-Evolving Workflow Automation cites this paper.

GraphMind: From Operational Traces to Self-Evolving Workflow Automation Retrieval-Augmented Generation with Graphs (GraphRAG)

Reference 17

Resolution
metadata mismatch
local_arxiv, observed 2026-05-20T12:08:15.538839Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-20T12:06:12.812808Z digest=sha256:bd8c26b7bf2e0771d391d0a50cf21899d0543c5721e6b6a66f0fb1f318cb5348

Observation e2accbc3-5e64-403f-a8df-9f05e32d9831 · inbound

GraphMind: From Operational Traces to Self-Evolving Workflow Automation cites this paper.

GraphMind: From Operational Traces to Self-Evolving Workflow Automation Retrieval-Augmented Generation with Graphs (GraphRAG)

Reference 17

Resolution
metadata mismatch
local_arxiv, observed 2026-06-30T19:05:01.123961Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-06-30T18:58:22.136026Z digest=sha256:df841215b9575b07b54d549d7eac3e5825157675399fb54870f17aaf997b4af2

Observation ceb0bf0a-c305-48a5-9e57-61c95d7d711a · inbound

Accurate, Efficient, and Explainable Deep Learning Approaches for Environmental Science Problems cites this paper.

Accurate, Efficient, and Explainable Deep Learning Approaches for Environmental Science Problems Retrieval-Augmented Generation with Graphs (GraphRAG)

Reference 196

Resolution
metadata mismatch
local_arxiv, observed 2026-05-20T08:03:08.844822Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-05-20T08:01:27.051916Z digest=sha256:9a3b0f62798dfedc11aee216651f108f073a8d5515fef7a2e8366559a67d7049

Observation 543e9330-d72c-4cde-9515-c3deb45ec8e8 · inbound

SeedER: Seed-and-Expand Retrieval from Knowledge Graphs cites this paper.

SeedER: Seed-and-Expand Retrieval from Knowledge Graphs Retrieval-Augmented Generation with Graphs (GraphRAG)

Reference 5

Resolution
verified exact
local_arxiv, observed 2026-05-25T04:55:23.315741Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-25T04:53:52.372584Z digest=sha256:14486f192143ab6035e607f1fd9f7d9153a107728192626c953684870a243f7a

Observation c7e2bf7b-a4d1-495b-888c-7f54a6d142c1 · inbound

Mixture-of-Experts Knowledge Graph Retrieval-Augmented Generation for Multi-Agent LLM-based Recommendation cites this paper.

Mixture-of-Experts Knowledge Graph Retrieval-Augmented Generation for Multi-Agent LLM-based Recommendation Retrieval-Augmented Generation with Graphs (GraphRAG)

Reference 16

Resolution
verified exact
local_arxiv, observed 2026-06-29T10:13:17.966014Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-06-29T10:03:45.368681Z digest=sha256:d12f872bf56780bb884ca2bf8ec0006583f58657e412b3bc5a1b5fbb770462e7

Observation d57e70b1-9751-49b8-8698-1910a7a1ca69 · inbound

Rethinking Memory as Continuously Evolving Connectivity cites this paper.

Rethinking Memory as Continuously Evolving Connectivity Retrieval-Augmented Generation with Graphs (GraphRAG)

Reference 21

Resolution
metadata mismatch
local_arxiv, observed 2026-06-29T12:33:24.763403Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-06-29T12:25:50.220145Z digest=sha256:84b6bbeb9b4b487c97704380d1598bec0bb13e866bed8433e345ba551cf52ba2

Observation 9373d47f-2588-4973-8b84-49c988ce8c0c · inbound

CogniVerse: Revolutionizing Multi-Modal Retrieval-Augmented Generation with Cognitive Reflection and Geometric Reasoning cites this paper.

CogniVerse: Revolutionizing Multi-Modal Retrieval-Augmented Generation with Cognitive Reflection and Geometric Reasoning Retrieval-Augmented Generation with Graphs (GraphRAG)

Reference 51

Resolution
verified exact
local_arxiv, observed 2026-06-29T08:23:15.750904Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-06-29T08:14:20.558527Z digest=sha256:61fc1c604d21fb2fe57462f11bba70c797fb2d4b026fe06080311cbb244526cd

Observation f43e21d5-9b4c-401d-819d-9b970beb2909 · inbound

MemGraphRAG: Memory-based Multi-Agent System for Graph Retrieval-Augmented Generation cites this paper.

MemGraphRAG: Memory-based Multi-Agent System for Graph Retrieval-Augmented Generation Retrieval-Augmented Generation with Graphs (GraphRAG)

Reference 25

Resolution
verified exact
local_arxiv, observed 2026-06-28T20:42:37.986423Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-06-28T18:20:43.092561Z digest=sha256:7e2b2e2484523e6f3151e61ae5130ffde8113fa1a8f08f98487a0b34eeb49e8b

Observation 9210abf8-3a59-4460-ac04-03daa385c356 · inbound

UniD$^3$: A Knowledge Graph-Enhanced RAG Framework for Drug-Disease Discovery and Reasoning cites this paper.

UniD$^3$: A Knowledge Graph-Enhanced RAG Framework for Drug-Disease Discovery and Reasoning Retrieval-Augmented Generation with Graphs (GraphRAG)

Reference 27

Resolution
verified exact
local_arxiv, observed 2026-06-28T17:02:24.224504Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-06-28T16:59:11.402443Z digest=sha256:b373c9839c8ab5438d86c0dd0f40bf98b745cc2b7dd3d35ec7194e22c71a63da

Observation d6066035-992f-4a39-8bf7-ca8acdd05da0 · inbound

From 3D Perception to Safety Reasoning: A Graph-Based Framework for Real-Time Underground Mine Monitoring cites this paper.

From 3D Perception to Safety Reasoning: A Graph-Based Framework for Real-Time Underground Mine Monitoring Retrieval-Augmented Generation with Graphs (GraphRAG)

Reference 60

Resolution
verified exact
local_arxiv, observed 2026-07-02T02:46:27.746350Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-06-28T10:44:00.642366Z digest=sha256:f3546f7480cef0ae832fdb95b0dc61c18388d26df3d1a2ebd06c1bf5da7d725e

Observation 4e662efc-05e6-4e4a-a81c-4f9331173ac6 · inbound

Reducing Hallucinations in Complex Question Answering using Simple Graph-based Retrieval-Augmented Generation (long version) cites this paper.

Reducing Hallucinations in Complex Question Answering using Simple Graph-based Retrieval-Augmented Generation (long version) Retrieval-Augmented Generation with Graphs (GraphRAG)

Reference 25

Resolution
metadata mismatch
local_arxiv, observed 2026-07-02T13:26:59.404355Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-06-28T01:15:20.867740Z digest=sha256:ecbecf8eefdd546964d57f00657d7ff86e7e1cb2d169810ab85d4c360aec2d2b

Observation c2bd6248-ba43-4bd7-9c1d-50dbd90dbaf3 · inbound

Reducing Hallucinations in Complex Question Answering using Simple Graph-based Retrieval-Augmented Generation (long version) cites this paper.

Reducing Hallucinations in Complex Question Answering using Simple Graph-based Retrieval-Augmented Generation (long version) Retrieval-Augmented Generation with Graphs (GraphRAG)

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-02T12:21:40.949845Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T12:21:40.949845Z digest=sha256:d9a003b4c6fb233ae6302cce1925816f6eb2363941b3c864ea5c548c654fcfe8

Observation 8c6b9610-4acd-421f-8674-0963da4a629b · inbound

Memory is Reconstructed, Not Retrieved: Graph Memory for LLM Agents cites this paper.

Memory is Reconstructed, Not Retrieved: Graph Memory for LLM Agents Retrieval-Augmented Generation with Graphs (GraphRAG)

Reference 44

Resolution
metadata mismatch
local_arxiv, observed 2026-06-28T01:11:28.135465Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-06-28T01:09:09.787495Z digest=sha256:7447821ce96f97a25cbced60fd5002c074832335c6cb06cda552aed125bbec7c

Observation 925c87f6-1bcc-4584-8c95-5a2c75e8e580 · inbound

Are Large Language Models Suitable for Graph Computation? Progress and Prospects cites this paper.

Are Large Language Models Suitable for Graph Computation? Progress and Prospects Retrieval-Augmented Generation with Graphs (GraphRAG)

Reference 187

Resolution
metadata mismatch
local_arxiv, observed 2026-07-02T17:07:12.295200Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-06-27T22:15:03.223540Z digest=sha256:520b2b72d43d80b903be78be757cc8bd304d3f39e9846e928e223e207e0bf691

Observation f8ee77e5-4fc1-40ae-b032-417c9b72253c · 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 Retrieval-Augmented Generation with Graphs (GraphRAG)

Reference 3

Resolution
metadata mismatch
local_arxiv, observed 2026-07-03T21:28:58.869813Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-06-27T00:32:36.540334Z digest=sha256:857d1d26b95653ec68e545f415cb98a358ef48f255e636106d2fbbf2c35b5c48

Observation 77c0676f-176c-44f6-889f-40c951a742a7 · inbound

Integrating Large Language Model Agents with Digital Twins for Industrial Autonomous Systems cites this paper.

Integrating Large Language Model Agents with Digital Twins for Industrial Autonomous Systems Retrieval-Augmented Generation with Graphs (GraphRAG)

Reference 15

Resolution
verified exact
local_arxiv, observed 2026-06-26T16:39:35.065469Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-06-26T16:38:14.566866Z digest=sha256:56573283ed9d8b9189a9f6fb9b1dff1ba2f1198392c2e8cb5573a8090387cc17

Observation 728e4a3a-a41c-44e2-a1e1-d9b51b19cfbc · inbound

EvoEmbedding: Evolvable Representations for Long-Context Retrieval and Agentic Memory cites this paper.

EvoEmbedding: Evolvable Representations for Long-Context Retrieval and Agentic Memory Retrieval-Augmented Generation with Graphs (GraphRAG)

Reference 5

Resolution
verified exact
local_arxiv, observed 2026-07-04T06:39:38.310166Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-06-26T14:15:09.713007Z digest=sha256:118d9200031c93fbb1c7b6b9383ac00bd1c452f17f0a2f707e94e6ed85eb9abb

Observation 47f6b611-cbbe-4f1a-80d4-d07fdd53930b · inbound

Holmes: Multimodal Agentic Diagnosis for Mixed-Language Mobile Crashes at Industrial Scale cites this paper.

Holmes: Multimodal Agentic Diagnosis for Mixed-Language Mobile Crashes at Industrial Scale Retrieval-Augmented Generation with Graphs (GraphRAG)

Reference 10

Resolution
metadata mismatch
local_arxiv, observed 2026-07-04T08:19:43.668307Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-06-26T12:01:04.952474Z digest=sha256:af10eccbbb617d5725cbc84258d9037b4c464c5a135128d6b4b38047ff20bbfb

Observation 7e6889ac-362c-4237-a83a-b0e4c96debf2 · inbound

ChartWalker: Benchmarking the Cross-Chart RAG Task with Hierarchical Knowledge Graphs cites this paper.

ChartWalker: Benchmarking the Cross-Chart RAG Task with Hierarchical Knowledge Graphs Retrieval-Augmented Generation with Graphs (GraphRAG)

Reference 9

Resolution
metadata mismatch
local_arxiv, observed 2026-07-04T12:49:52.135165Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-06-26T06:02:40.752332Z digest=sha256:c955f56a122b700e92b52437b57e6a9cada0b5df645476779f3087823c3abfb2

Observation e46dcefd-03dd-4238-9de2-b80a08468a2f · inbound

Temporal Validity in Retrieval Memory: Eliminating Stale-Fact Errors for AI Agents over Evolving Knowledge cites this paper.

Temporal Validity in Retrieval Memory: Eliminating Stale-Fact Errors for AI Agents over Evolving Knowledge Retrieval-Augmented Generation with Graphs (GraphRAG)

Reference 3

Resolution
metadata mismatch
local_arxiv, observed 2026-07-04T13:09:51.232907Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-06-26T05:26:34.543601Z digest=sha256:2069eea625292d79433a1f696a3686462a914ec583bf8c1c319d50fd073993ed

Observation e2848905-5e3e-42bb-a0c9-55eb70ce6208 · inbound

SemFlowRAG: Directed Semantic Flow from Abstraction to Evidence for Complex Reasoning cites this paper.

SemFlowRAG: Directed Semantic Flow from Abstraction to Evidence for Complex Reasoning Retrieval-Augmented Generation with Graphs (GraphRAG)

Reference 19

Resolution
metadata mismatch
local_arxiv, observed 2026-07-01T15:25:48.137354Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-06-30T01:31:23.993255Z digest=sha256:e65e3e7c872ee0447001915c2637e1b10bbb3678ae8f782e6cafaaf0facf7aa5

Observation b67ed993-ca08-43c4-9909-3712c998322f · inbound

AGE: Adaptive-masking for Graph Embedding in Graph Retrieval-Augmented Generation cites this paper.

AGE: Adaptive-masking for Graph Embedding in Graph Retrieval-Augmented Generation Retrieval-Augmented Generation with Graphs (GraphRAG)

Reference 29

Resolution
metadata mismatch
local_arxiv, observed 2026-07-02T18:47:17.185644Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-07-02T18:01:48.915707Z digest=sha256:4cbee7ce92612b27fec73299f349fc88cc3c7b1706ac6de6728106b2676d9db1

Observation 73f5c1eb-8430-48b4-97d5-58dddfa22028 · inbound

NGM-RAG: Neural Graph Matching based Retrieval-Augmented Generation cites this paper.

NGM-RAG: Neural Graph Matching based Retrieval-Augmented Generation Retrieval-Augmented Generation with Graphs (GraphRAG)

Reference 29

Resolution
unresolved
no resolver link, observed 2026-07-14T06:36:34.161979Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-14T06:36:34.161979Z digest=sha256:e6ac645a356f8f35d1d9e7d9f502393564b11bd3291adcfde0ee441bca8d94f9

Observation 90e48d1b-acc6-4ed1-8d1d-13fa881ad2bb · inbound

VLD-RAG: Agentic Vision-Language Retrieval-Augmented Generation for Long, Visually-Rich Multi-Page Documents cites this paper.

VLD-RAG: Agentic Vision-Language Retrieval-Augmented Generation for Long, Visually-Rich Multi-Page Documents Retrieval-Augmented Generation with Graphs (GraphRAG)

Reference 735

Resolution
unresolved
no resolver link, observed 2026-08-02T13:26:29.578873Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T13:26:29.578873Z digest=sha256:82344a52d6b81489b232a9b6bf45d057d48b43117f7306478d710ecf01c140f7

Observation 810bd9d7-deb3-4350-9ca7-e963be3ee5a0 · inbound

KAMR: Grounding Generation via Knowledge-Aligned Multi-hop Retrieval cites this paper.

KAMR: Grounding Generation via Knowledge-Aligned Multi-hop Retrieval Retrieval-Augmented Generation with Graphs (GraphRAG)

Reference 28

Resolution
unresolved
no resolver link, observed 2026-07-30T11:11:54.897986Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-30T11:11:54.897986Z digest=sha256:90246206c8059d0b2b8b3ffc2e97684e8e69ef681163ff3cba8b03609aca8572

Observation 1115d62d-907c-4957-8921-88fd9469d43c · inbound

Simulation Code Generation for Fluid Systems using Large Language Models: Benchmarking Models and Prompting Strategies cites this paper.

Simulation Code Generation for Fluid Systems using Large Language Models: Benchmarking Models and Prompting Strategies Retrieval-Augmented Generation with Graphs (GraphRAG)

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-03T07:58:47.614919Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T07:58:47.614919Z digest=sha256:e202cd565446967baa3a468b698172cf034363b8980640be41a5d984139fa33e

Observation 7d36405a-fbe1-407b-a563-234187dac7c1 · inbound

Operationalizing Cyber Threat Intelligence with GraphRAG cites this paper.

Operationalizing Cyber Threat Intelligence with GraphRAG Retrieval-Augmented Generation with Graphs (GraphRAG)

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-15T17:55:19.829163Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T17:55:19.829163Z digest=sha256:4f6d8776c22519f70b80ec6ad218d4fb8c176d4a77f612f9b99ba57469cce08b