Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-07T12:13:02.136813Z
Paper Citation Record · LEDGER
GPR: Empowering Generation with Graph-Pretrained Retriever
As of 10 August 2026, this Paper Citation Record lists 24 of 24 outbound references and 0 inbound Pith citation observations for arXiv:2506.00261.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
24 of 24 outbound references displayed
- verified exact0
- verified fuzzy4
- unresolved20
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 97926a7d-49b0-4cbe-8565-79bf8f7fb20d · outbound
This paper cites Retrieval-Augmented Generation for Large Language Models: A Survey.
GPR: Empowering Generation with Graph-Pretrained Retriever Retrieval-Augmented Generation for Large Language Models: A Survey
Reference 4
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T12:12:59.824845Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 70aa4c1f-0dc6-4973-aec9-f01f7fcbf45e · outbound
This paper cites GRAG: Graph Retrieval-Augmented Generation.
GPR: Empowering Generation with Graph-Pretrained Retriever GRAG: Graph Retrieval-Augmented Generation
Reference 6
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T12:13:00.097322Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 53a39ea2-516a-40b8-b208-2c7e76d9b9ac · outbound
This paper cites Simple Is Effective: The Roles of Graphs and Large Language Models in Knowledge-Graph-Based Retrieval-Augmented Generation.
GPR: Empowering Generation with Graph-Pretrained Retriever Simple Is Effective: The Roles of Graphs and Large Language Models in Knowledge-Graph-Based Retrieval-Augmented Generation
Reference 7
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T12:13:00.201806Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3610ce65-58c9-4da4-959c-59d39e4e3fc8 · outbound
This paper cites Graph Reasoning for Question Answering with Triplet Retrieval.
GPR: Empowering Generation with Graph-Pretrained Retriever Graph Reasoning for Question Answering with Triplet Retrieval
Reference 8
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T12:13:00.332779Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation fa7c700b-5e6f-4100-861d-25e37f480757 · outbound
This paper cites Reasoning on Graphs: Faithful and Interpretable Large Language Model Reasoning.
GPR: Empowering Generation with Graph-Pretrained Retriever Reasoning on Graphs: Faithful and Interpretable Large Language Model Reasoning
Reference 10
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T12:13:00.673773Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 367c1c31-137b-4f5f-a3b2-1e57e96c502a · outbound
This paper cites GNN-RAG: Graph Neural Retrieval for Large Language Model Reasoning.
GPR: Empowering Generation with Graph-Pretrained Retriever GNN-RAG: Graph Neural Retrieval for Large Language Model Reasoning
Reference 11
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T12:13:00.775082Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d3f471da-c0b6-4d0e-ad85-747509f79519 · outbound
This paper cites Knowledge Guided Text Retrieval and Reading for Open Domain Question Answering.
GPR: Empowering Generation with Graph-Pretrained Retriever Knowledge Guided Text Retrieval and Reading for Open Domain Question Answering
Reference 12
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T12:13:00.885821Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6b076808-df74-43ec-b6c7-251ba70d1935 · outbound
This paper cites Graph Retrieval-Augmented Generation: A Survey.
GPR: Empowering Generation with Graph-Pretrained Retriever Graph Retrieval-Augmented Generation: A Survey
Reference 14
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T12:13:01.207797Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation bcaccb7b-d96c-481c-9a02-f1942402a951 · outbound
This paper cites DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter.
GPR: Empowering Generation with Graph-Pretrained Retriever DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter
Reference 15
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T12:13:01.293822Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 95fd2b68-7112-45bc-9b0a-4d69127c540e · outbound
This paper cites The Web as a Knowledge-base for Answering Complex Questions.
GPR: Empowering Generation with Graph-Pretrained Retriever The Web as a Knowledge-base for Answering Complex Questions
Reference 16
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T12:13:01.392760Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation cdc9dfcd-8861-48db-a5ee-441e5310f6ed · outbound
This paper cites A Comprehensive Survey of Hallucination Mitigation Techniques in Large Language Models.
GPR: Empowering Generation with Graph-Pretrained Retriever A Comprehensive Survey of Hallucination Mitigation Techniques in Large Language Models
Reference 17
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T12:13:01.544584Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation eaafe864-4e83-4f28-b7a7-52b9db216fd7 · outbound
This paper cites Llama 2: Open Foundation and Fine-Tuned Chat Models.
GPR: Empowering Generation with Graph-Pretrained Retriever Llama 2: Open Foundation and Fine-Tuned Chat Models
Reference 18
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T12:13:01.672305Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d79d1eb8-7a70-4ca9-843e-f76094eafb6d · outbound
This paper cites Siren's Song in the AI Ocean: A Survey on Hallucination in Large Language Models.
GPR: Empowering Generation with Graph-Pretrained Retriever Siren's Song in the AI Ocean: A Survey on Hallucination in Large Language Models
Reference 20
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T12:13:01.928369Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 26f6aa2f-b6f3-42a9-b533-f03c3d746b7f · outbound
This paper cites B Experiment Details Datasets.
GPR: Empowering Generation with Graph-Pretrained Retriever B Experiment Details Datasets
Reference 21
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T12:13:03.333644Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 4bf68f7e-0f72-4c81-bf4e-2bbb873894b4 · outbound
This paper cites Pretraining is conducted for 5 epochs using AdamW (Loshchilov and Hutter, 2017), with a batch size of 512 and a learning rate of 2e-5.
GPR: Empowering Generation with Graph-Pretrained Retriever Pretraining is conducted for 5 epochs using AdamW (Loshchilov and Hutter, 2017), with a batch size of 512 and a learning rate of 2e-5
Reference 22
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T12:13:03.141443Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 7257f8eb-49dd-4b27-8a6c-9774f0b70da2 · outbound
This paper cites C Potential Risk Although GPR demonstrates strong performance, it is still possible for the retrieved results to reflect biases.
GPR: Empowering Generation with Graph-Pretrained Retriever C Potential Risk Although GPR demonstrates strong performance, it is still possible for the retrieved results to reflect biases
Reference 24
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T12:13:02.697120Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 42fac3f4-afe1-4a04-a6d4-7673c2cd9d5e · outbound
This paper cites In Proceedings of the 2008 ACM SIG- MOD international conference on Management of data, pages 1247–1250.
GPR: Empowering Generation with Graph-Pretrained Retriever In Proceedings of the 2008 ACM SIG- MOD international conference on Management of data, pages 1247–1250
Reference 2008
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T12:13:03.665696Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 2a461539-f2d3-49cc-a6ed-847040df1902 · outbound
This paper cites Decoupled Weight Decay Regularization.
GPR: Empowering Generation with Graph-Pretrained Retriever Decoupled Weight Decay Regularization
Reference 2017
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T12:13:00.477098Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a5f9e9fc-c6b3-4d6c-8eab-ef2dc815bdc0 · outbound
This paper cites Representation Learning with Contrastive Predictive Coding.
GPR: Empowering Generation with Graph-Pretrained Retriever Representation Learning with Contrastive Predictive Coding
Reference 2018
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T12:13:01.057421Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 78550a01-e6ba-4c91-9dc9-8d4f5eb31c9d · outbound
This paper cites an unresolved cited work.
GPR: Empowering Generation with Graph-Pretrained Retriever Unresolved cited work
Reference 2019
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T12:13:03.497374Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation c6f64b5d-a87f-4889-80bd-274ffbd07eb3 · outbound
This paper cites an unresolved cited work.
GPR: Empowering Generation with Graph-Pretrained Retriever Unresolved cited work
Reference 2020
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T12:13:02.931399Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 8672aa27-eee8-456e-8062-6f3a5b554865 · outbound
This paper cites GPT-4 Technical Report.
GPR: Empowering Generation with Graph-Pretrained Retriever GPT-4 Technical Report
Reference 2023
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T12:12:59.335089Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b2ea06af-eb16-4508-953e-bf15039fe5bf · outbound
This paper cites The Llama 3 Herd of Models.
GPR: Empowering Generation with Graph-Pretrained Retriever The Llama 3 Herd of Models
Reference 2024
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T12:12:59.971190Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3b5bc858-fa54-460c-b0cc-90eb8dd418a0 · outbound
This paper cites arXiv preprint arXiv:2501.13958.
GPR: Empowering Generation with Graph-Pretrained Retriever arXiv preprint arXiv:2501.13958
Reference 2025
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T12:13:01.822375Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Pith citing papers
No inbound Pith citation observations are available.