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Paper Citation Record · LEDGER

Retrieval-Augmented Generation with Graphs (GraphRAG)

As of 7 August 2026, this Paper Citation Record lists 100 of 299 outbound references and 64 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 164 of 164 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 64 of 64 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T05:40:09.718989Z

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-18T04:33:39.076517Z digest=sha256:baacc3099ed579dad6d1e24a43e7ac9696f90c66a045a1192bc2a16116e3de9e

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 2026-08-07T06:34:17.273281+00:00.

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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 2026-08-07T06:34:17.273281+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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-18T04:33:39.076517Z digest=sha256:d632dfd1475764e0fc37d0f9626497cbd3be180d55945cc87b8700b273529dd3

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-18T04:33:39.076517Z digest=sha256:d1d58a7f70cc12f7c1a26b902676f11dd93e33d87efd7866684e54561f06e8f6

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 2026-08-07T06:34:17.273281+00:00.

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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 2026-08-07T06:34:17.273281+00:00.

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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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-18T04:33:39.076517Z digest=sha256:6c32385e326e28746d7bf2413f868f153b28dd5549ce5c96271242cdf77a20e9

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 2026-08-07T06:34:17.273281+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 2026-08-07T06:34:17.273281+00:00.

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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 2026-08-07T06:34:17.273281+00:00.

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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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-18T04:33:39.076517Z digest=sha256:41ca0cc1ff90f121d9dbd6a04285d0329b9fb7b927a7cb8a3b8a1fc858093a8f

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-18T04:33:39.076517Z digest=sha256:85ba3e9866b18662edfb308d577388e350a1daeb6878dda12b4a50bca804d936

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 2026-08-07T06:34:17.273281+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 2026-08-07T06:34:17.273281+00:00.

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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 2026-08-07T06:34:17.273281+00:00.

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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 2026-08-07T06:34:17.273281+00:00.

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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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-18T04:33:39.076517Z digest=sha256:05ba7231171f235f8733aa74644211917f0b7568dc6525f9e5985304231f388d

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-18T04:33:39.076517Z digest=sha256:015f5bf3586a1469fb6a8321be0b241d8b18a9d0939e5986dc14f6a131a10c48

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-18T04:33:39.076517Z digest=sha256:246f99b351e660b0f5e30cc3014a4d579fba463c0c4689c0f24807bdb3d7a837

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 2026-08-07T06:34:17.273281+00:00.

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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 2026-08-07T06:34:17.273281+00:00.

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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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-18T04:33:39.076517Z digest=sha256:6fa0db1d12f771a296d6d5c2dcf4228d1666d37386ebdbad55a792b2da76754c

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 2026-08-07T06:34:17.273281+00:00.

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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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-18T04:33:39.076517Z digest=sha256:195c5ebdb4071c13a8d657bd5a94f5ebf60a9cd9249eb53c4785ad8ab58bdd74

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 2026-08-07T06:34:17.273281+00:00.

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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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-18T04:33:39.076517Z digest=sha256:31e8c40ba0ac6723faa8141bc4cd24d7464fe37833d37596a7f284fe86ce7d61

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-18T04:33:39.076517Z digest=sha256:204abd3068de8f7150a9cd3f3a4ac6026928d828d2214e118d11fd78132c1629

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-18T04:33:39.076517Z digest=sha256:c5f4ce74263e881ed6e42d27e25fab93fe4dc725474e7c6363712bc503465616

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-18T04:33:39.076517Z digest=sha256:14b89c1f47a5503be03d40c9a685cd392adaa77bcc921e0b506502b0d13b4ed1

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-18T04:33:39.076517Z digest=sha256:03642fb9ef6e85ea173dcfdbd14b04528ef2ce54aea093849e7e875afb8315a7

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-18T04:33:39.076517Z digest=sha256:64a439a00210f720c412fa52e44c57ebd196250582b3e64ea26f2311e3053d9e

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-18T04:33:39.076517Z digest=sha256:f83226eecabafcedea014af60ca82fe4479ff6120923a24b78af51e000d01c8a

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-18T04:33:39.076517Z digest=sha256:0a40757ffa15f1251d548868275508d206d709389ab68b8695d6f2bc7f4ff89e

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-18T04:33:39.076517Z digest=sha256:8d3437ca19f2c0a12940a990837d275b28ebcd3a1b469c3f54356a2047d730a9

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-18T04:33:39.076517Z digest=sha256:41ee40708b26660cbec294e5b69047992384c3592b016d32e68745e96491fa8e

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-18T04:33:39.076517Z digest=sha256:fb5c7dacd9beef4552ce69bbf4ab5edd135c4eea19efac00523b7ae360ce1cf1

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-18T04:33:39.076517Z digest=sha256:6f34ff99b414186d6f7618a970d8cc85ae236e179827e34cc59fbd3cdfcc0ddd

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-18T04:33:39.076517Z digest=sha256:07eb9d35c028b721d6821c921b21602ce19818ea9c6c9137e468cc973ad88b5a

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-18T04:33:39.076517Z digest=sha256:c5d44a60bad132e5c3275a9f0624ca2a5b579ea46e7d455a31f41576728a6a17

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-18T04:33:39.076517Z digest=sha256:9ad27825cb97d096be992dae2c2164ba12f4ae6556b8fddbca32c1db74db35af

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-18T04:33:39.076517Z digest=sha256:35c07d6d1002dbdbd41a7549a55a10afecdd8c21fa332dfc24aa420748d6cab4

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-18T04:33:39.076517Z digest=sha256:0f1e59f0eb8280c5b31ef7e96f4b86993a7041b858ec1b5bcd3d1c532d2d4bdd

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-18T04:33:39.076517Z digest=sha256:5e609f4c20d54ac060d2263d75d5b6ed2c9a5d5d932fdac48547ff731acb7456

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-18T04:33:39.076517Z digest=sha256:f4963fc5ddea5d127640f1257ba299bbd666caf88559b380ba847db1c6f8023e

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-18T04:33:39.076517Z digest=sha256:120784c6b53df5191528aefc4ad4b13f069cb919e9aaf9132225a37a08602bd4

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-18T04:33:39.076517Z digest=sha256:9450a84fd1836505c8e970b693a618637831075d75d5567f3d25676b5adad1fe

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-18T04:33:39.076517Z digest=sha256:881be3557b548bfa5f32567fd32a9ef88f029f7506e1c7b90f6e83551c00af11

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-18T04:33:39.076517Z digest=sha256:a51a25afb0d1012a823983889b489324102ccd0db6baee781f583e7a27486c01

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-18T04:33:39.076517Z digest=sha256:0cb9041898b21583f94372a00956486d2a7b1d7344f2df14e8849a319776399d

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-18T04:33:39.076517Z digest=sha256:5b731e041ed5e4896628c279e0282ce31340385f8db7323e5c54ddfeab1fcb27

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-18T04:33:39.076517Z digest=sha256:4e5b147a19e01790f69c07935b07ef239643488af7bebd258addcd01f6165644

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-18T04:33:39.076517Z digest=sha256:e3f56327a0341ecc8995353bda60d072a7da541c1e37e08df00210d501d7cc96

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-18T04:33:39.076517Z digest=sha256:0afae98ebc5759a0aac4d47f1afe711a79ccd04253206a595944072e67d7c260

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-18T04:33:39.076517Z digest=sha256:81d53c27b6b607ac0979aacdfe591d14a02d5b020516caf8949d726d0f4c1225

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-18T04:33:39.076517Z digest=sha256:4f376064c5e7fcd46a0c73a9d91688c29db0f8352ba497fb319dd83c1af2e963

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-18T04:33:39.076517Z digest=sha256:ba7be7b75c08ba6c9cff3d7607e5f9472dd2b1cb1238229c1bcaa2ac0551409d

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-18T04:33:39.076517Z digest=sha256:f477688d0dd6592c6f64bf47954aed541fe391faf275c05b6a6d05f53167e461

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-18T04:33:39.076517Z digest=sha256:7b3bc0190fcb03f0668de8c4036d611f5541c14866a054a5608d9734b8aa0857

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-18T04:33:39.076517Z digest=sha256:1b48566bc141f9f9a4ee13fe5e61586d0a7e003acaa746021fae5bdea60dc1d0

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-18T04:33:39.076517Z digest=sha256:57dcfc41a44114d572f48135c035586058da713bcc54be740a3ec60af4c1ce6a

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-18T04:33:39.076517Z digest=sha256:a2d35134f871de8743f88fef371b6eb33bfc41015abdf2ac369b5efcb2050b4a

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-18T04:33:39.076517Z digest=sha256:ce583021d9430e6352fc7d071c70d4f3e8a58d9594cbce2159cdb855c7a71d8f

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-18T04:33:39.076517Z digest=sha256:e82a4efbaddc2d960707fa76d910846ee587dbf501bfed95d5c8b12a1fe6d7e5

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-18T04:33:39.076517Z digest=sha256:d8c2b006c9c2ccbf1eb2b8751a212cd46d24cad9980a4df6cc133da5352e764b

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-18T04:33:39.076517Z digest=sha256:b5c8109bef67a6ed2be0fed2065d8138aa26c7c4abe1e643e9671e79ccbbb950

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-18T04:33:39.076517Z digest=sha256:d5733e8e6d56ed634f65944d50a9652606463aed2dc083c074d70a578774b781

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-18T04:33:39.076517Z digest=sha256:c74678a2f8bb0a2ac5cf78ca4e17eb9fbfe60e380636d6de30526eea55ca46ad

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 2026-08-07T06:34:17.273281+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

Resolution
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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-18T04:33:39.076517Z digest=sha256:17c02ca44681b630f96ecf914cff7f298b4273290ad7e66d698a14a731acd66a

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

Resolution
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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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-18T04:33:39.076517Z digest=sha256:ac37ef0a0fec099de348f8ecf1e193b0f4be20237abf5d905acbbb9e6fb15312

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

Resolution
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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-18T04:33:39.076517Z digest=sha256:f2ab2111c38f1805d04f7b777d25d7c71c5fc3d2ecc83f5618588264ccf72aae

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
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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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-18T04:33:39.076517Z digest=sha256:46a8e3d97ed636ef996218fcc5abf2053676dbccc2d1d2fcadc9747a0fb685da

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-18T04:33:39.076517Z digest=sha256:280e89c55c3d1a616572e64036d5bf4c8e5ae9d6a0e7fa6a05ae0ee19e3d2706

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-18T04:33:39.076517Z digest=sha256:41c615e38d1b09dcb43d3f787603f525b4ee1a6a88e906dc558d88c9e1091b4b

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

Resolution
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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-18T04:33:39.076517Z digest=sha256:bab89dbb15d50f128ea168c941899e7efc144b98476b6bce5eaf81dc1bfecb14

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-18T04:33:39.076517Z digest=sha256:f40073cfeb4881f52958711a0cb5a821358ac4f4a9c8638c57e400d1915e6044

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-18T04:33:39.076517Z digest=sha256:3eee6b2546b25a2120064e0667d0abe5c86bd73ae10afde64dba362fbcefab18

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

Resolution
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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-18T04:33:39.076517Z digest=sha256:36c6ab8695a4c36fbbcf48abdd2014208d115dbad1e1aae67a282d33a88f8141

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

Resolution
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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-18T04:33:39.076517Z digest=sha256:5ba33754a108ba126066b59a1a5ed4af85aca817e648ed6de50af8e93e691397

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-18T04:33:39.076517Z digest=sha256:565f8ebf9f5b578438e65baa3558060d639460b5e3a742f6a072e3c8f520b838

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-18T04:33:39.076517Z digest=sha256:6908453f4feae413eb0b727765e3f62413c66bea52e34af087d618099a349933

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-18T04:33:39.076517Z digest=sha256:9f55cf48755cb0ae21faa6fecceb7185c89396740fe004de1866819f61d06780

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-18T04:33:39.076517Z digest=sha256:4d1d4b448ee856309f696358022a997f3fab9f248272452ca0557b1bdbd18370

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-18T04:33:39.076517Z digest=sha256:b622491305a6b786e797113db68d64d2830a59fb2d1c58ba0c7f829e0a61b268

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-18T04:33:39.076517Z digest=sha256:3dad075b8f5e09d96ff7b975b8a53488fca89317ac25d1d5f9f290a97c413bcd

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-18T04:33:39.076517Z digest=sha256:1ca0787b0a1bdd89811fa9c352201a55b9cf4828d262af4632c3a9d4b6ba27ba

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-18T04:33:39.076517Z digest=sha256:caf939e2bca314c87163fde1bbc1990b2bc89841da8d1baad47e17a86c33e2a4

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-18T04:33:39.076517Z digest=sha256:48676a49c1623edff24395a9e620861265224aea3c3a517ecfd5edf1a2aa3fcc

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-18T04:33:39.076517Z digest=sha256:3f6bd608606faebf99f20a54f83ca234e280186fd524623bab246224836831d0

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-18T04:33:39.076517Z digest=sha256:1ec0e5c85a49cf377637985a736f4730e4356103df2ac70c5227575984fc43b1

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-18T04:33:39.076517Z digest=sha256:1835606011c86b68d5f3eb76fa5b653823df2fb282dbfbf38f6d582a2250fff8

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-18T04:33:39.076517Z digest=sha256:af40cba6fdeefe7284d4875ae451f759953a47b52d6ed0bde6763aa49df72e98

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-18T04:33:39.076517Z digest=sha256:ff5b91f4e350599b5c0c7653990abc5dddd4b27a3125bf401c651143428229e6

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-18T04:33:39.076517Z digest=sha256:bdd5fb56001e700325d37c91640e46618e0753d0934f09c6194eb1a8fe331fb0

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-18T04:33:39.076517Z digest=sha256:41bf99268de0011e50fc33e010e778c688d600372727ea33f6710d4a675fc0f7

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-18T04:33:39.076517Z digest=sha256:85c2a11082a0203b2781c8341820f9b5df4a9566a45bb9341f1edc2431a2a8ed

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-18T04:33:39.076517Z digest=sha256:b92526b6dbb1efa2f0f2caf58f332e33eaf3ebb7a6cd8d16261cb49cc2a1f8e5

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-18T04:33:39.076517Z digest=sha256:be0ae1b90519ee30d47244f2cf84d37f53c8ba068337f57bb1671a1f75d03607

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-18T04:33:39.076517Z digest=sha256:48a5a1567caa8366bb295aced92b1437843fed74e0bcfa7835edcd7067a82cda

Pith citing papers

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-23T01:36:25.057478Z digest=sha256:de9a6befc8ccc0d053b427ad20f49e869813e693682a86948aa8b479e6cb23de

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:40:09.718989Z digest=sha256:63d339927763ff9fa65d623222243930bf6b883d86bb8262364445049cf98890

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

Resolution
unresolved
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=sha256:9f3da6bf13c272eaebb0e92c4fe9158dc054c7052cece35ccbd7f36fa80efce6

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:44:01.696766Z digest=sha256:3e2153ae1e9c0e3c72678fd3e343c7ce7edd4884912176e3b781490539b87412

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:aeab57c8c7c6ccacfb81765317657148d5bed14a275fe9d2defb9be491fea894

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:f70d8fe4b4db658da5b260e288f6d84635e2f5c14c4386634c32057eafa9d6c1

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

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:11:18.344615Z digest=sha256:192c1b1e0c5412fa331062beb561d07f0f23f080432552f21461e1cdfe0a6dc6

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=sha256:06b3987afd6c0401578a6db5641895c2a20ea7d0cb450c2f7d44fa91b687fd17

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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unresolved
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:eb0f9254f5ca01a579e6c73004a87dbf6d929fe1cf205187fb63aa0e922b93e8

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

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:58:04.454027Z digest=sha256:4e0d9e2fe0c9151c62bd39e6b9108c2cec348ecda52bb269dfd135f00f3d7f4d

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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unresolved
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=sha256:200dbca9f9ab082b17307c61e743bccc1909b61a8228604506e52328a2774d83

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

Resolution
unresolved
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:ecddad7cde3fa26efef417de3e70ce1caa9785f3eb3dc69cd068dbe38be718ff

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

Resolution
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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-18T19:26:35.001429Z digest=sha256:3ec9e47035ecb9ceb1bbde79a10be956153424c656f96ba6b1c06fec028ae6e2

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-18T13:23:30.218806Z digest=sha256:55473e35b7bd938cf22b6d44c7908c8df83f5ec78a4b0e0390406ac6cef1e52b

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:f98ccf87c679e7d90f972fd04403943106cfbd628f793e5857005bdc13aae2b4

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

Resolution
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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-18T09:25:06.990685Z digest=sha256:6764a694706a9324e14300df8d1767c9bdf464cb534749cb91af75d3fd55caa5

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

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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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-18T04:22:54.943043Z digest=sha256:f600b2b79eadfef1ba9683fe9cf3948bf5d0248aa5e340d0ee759226662e658c

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=sha256:364cfbb2d7d7a90ef5889a83173b3b350ce3ee754a16ad47ca4aa7dd3a1d4cb7

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:c6c3e4b811c3cc3ef1604da6b8441df11a0cd062a71b00bd62cf983c43ff4d97

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=sha256:117446339f147d0e2ea07c2a395335cf47cb4848c082efccbc5bfd97d6d0437a

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-15T21:58:30.784843Z digest=sha256:e331c206e5d49c08c8d844ca5730be52a2d9a52c5003a156a5ea908b8368a446

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-16T06:58:44.096568Z digest=sha256:85a7b4ca3d46280ef6af6975326feafd69335b38ec6d1bb71a9a4350df844f22

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:ea40d5904192f8aa7dcbf7b9295553e5bcce20a5b847eab0dfc1df24fc201c70

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

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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=sha256:419aa2986c6674f0fcd2df8e202ede390d4e26618fc175500ea952212a754eaf

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-13T22:03:55.582645Z digest=sha256:65a3c05d4cd57682794b5ea056ce4adfc536d0a65021341469f9cf355ab63f0a

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-13T20:02:02.300824Z digest=sha256:ae6630020ee0b2ea78031511ccd3b52b7a5fbff3ed75a16b264033bdc6005465

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T19:46:16.975267Z digest=sha256:a74026ecc7bdaf1e23f5ad6d3f9c340ce71b81cb63ed49d291aa8ce40ac3a2fb

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-13T22:35:18.954951Z digest=sha256:d68f786b1740f42c98f508ed33d55f03fc08c54210c3da139451101479bc887e

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-13T20:10:41.883261Z digest=sha256:64bef778ec5a86cfe3cad08171b4b2a8c6ee3759c1b401ac1d87f327670cbdd5

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T05:52:40.026883Z digest=sha256:4ad81f79faceacefec67e7ad236a4d8083bc35b0b173fa62f452b1f72c9296cb

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-14T22:48:41.826046Z digest=sha256:aeabd6cfae994bdec759de1f720f44e8cc3b57541fdb525403b9f170b137d6c8

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-09T23:38:04.276214Z digest=sha256:a29b8a9dc288ec41144c5fd3dc2fe1443ceac9769aefdbf573f32949f967cb2c

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-08T03:26:18.733886Z digest=sha256:70333064606b8d5d0b4cc1a5fc6e9231baf1fd36d31c79347fa4e2780dadfe00

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-07T07:19:44.756174Z digest=sha256:49c9bdb2a6faf89f775b33f98838da96dbabbc8cc42d6e4fb986cb3f02c946a3

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-11T02:15:18.274343Z digest=sha256:5a10f80de28d01b168985acec1e91e6809470ce5c2536592c925f97f60ad160b

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-12T01:35:25.669239Z digest=sha256:c749c40b52f0e2d4973ba54f20d8d0e65fae1c35a700e4a1e6e33db5a1da578f

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-15T04:47:44.904830Z digest=sha256:9165036f4e883fa7b2d5eecfccf7b1954da2817f03023c95cc39499b030e2083

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-15T02:34:08.115027Z digest=sha256:55ed6fd4d57c1528f9f42657e329f552d7cd3263d35276bab71ea6521c1cef5f

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-20T12:06:12.812808Z digest=sha256:9631755bf9a04b95e4422d66f780ad6349ee8ac0c6f36b0e5cbfe41bba9daea8

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-30T18:58:22.136026Z digest=sha256:3308fe29a535ec2964cb8501855d8e819f8e2c7064e91dce2c91ad43048afa6f

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-20T08:01:27.051916Z digest=sha256:2b508667f635ff7904bc5cc95e2ca05cad437ce427c042038ee1c44ee6a35b3a

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-25T04:53:52.372584Z digest=sha256:ee1179fea81d48f3fe28a0ad4a08b3d3c7c311b0cb6a37990cd1e2fc8907bb36

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-29T10:03:45.368681Z digest=sha256:31e2495ec8c4c9caa1390776cfe99e53750e2d74d67997691dc6552edbf7d225

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-06-29T12:25:50.220145Z digest=sha256:cebe7014d42763a44c55c84bad180f499409274d2803337eb62e4f3b6b550533

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-29T08:14:20.558527Z digest=sha256:21e3916ab63943c555d7de88c7531941223d0c2b551d99c5bbee822904783733

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-28T18:20:43.092561Z digest=sha256:0dc7d334c930dd44267cefcea0f57f74f330c1c94d4707759a797f5002dabdb9

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-28T16:59:11.402443Z digest=sha256:b8a858d96a09021bf9750d96c4d0990e4f65b42f8431b0a4727ea2bc9fa400df

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-28T10:44:00.642366Z digest=sha256:86f240187b15610bb3e585cbd5971624231e98cc0e35b0c5b2b8ecd0903ef1a9

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-28T01:15:20.867740Z digest=sha256:ae357a9043f4f467ab3e1ad3ea225c5b4af1ef496403ef160e49f8bf15b4998f

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=sha256:2c014fa305a578a2ff3a6656bc76063370a49fe5c4527f82cd312dc429c236b0

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-06-28T01:09:09.787495Z digest=sha256:26a2bea3aecb3293b81cb119d6d10c0abaaa582914073d7c113fe271bd491ebe

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-06-27T22:15:03.223540Z digest=sha256:63f3d9cf4632921d982cb16dd2feaa40d99cab1dd93785f5ec9f43305015ad40

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-06-27T00:32:36.540334Z digest=sha256:7b9e451488284321fbb9275f980c1d9b3f5d2e128f7feb73e3a9c24c4e0f908b

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-26T16:38:14.566866Z digest=sha256:0394c0ae5279e426ccb23202e16d58cc4f87d05697f5aabe3783944348bd0ed7

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-26T14:15:09.713007Z digest=sha256:4071c9bbf5368695b4708bf64e9264bd475e9b5ec017db144531571439e83957

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-26T12:01:04.952474Z digest=sha256:0735d326234b3e8b03789416f64a4469b0d658e906ea53592ba58eb868709671

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-06-26T06:02:40.752332Z digest=sha256:c0f78ec4ab1fabdcd87d51793fec078ac453929660e707eef0109384f8c96cf6

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-06-26T05:26:34.543601Z digest=sha256:b42fd6c29bf039e0a73538f04e4ffb708cc1bde21b1ae89afeaf7dbb3c3fbf9e

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-06-30T01:31:23.993255Z digest=sha256:12c1e5c0b743eb29ad8961ac829e9ba0ffaf4a8946e7dbe888d8de2f7116cb8e

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-07-02T18:01:48.915707Z digest=sha256:0ec48d1df6c5bea51064b4bc1df5076d0c2aff77152affac9de5872b9170d633

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:e33aafeb2c7b24195f7a87db4b5b05255e1cdf0f057554babbd48335dfc40e8c

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=sha256:6b1e19917fb355cfaabd0c5e4d9264d0f2c9e9c218b86981b091ba5c555ee347

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=sha256:3051ae1759ad8aabe1c78c78a9ca902ae05e1c85bf54b1656c4ff3c8f5f1320b

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:ba35de810f638d7e19a30e3774777bfa1bd24d270dee62b92bf6661a8b07a6af