Paper Citation Record · LEDGER

Efficient Document Retrieval with G-Retriever

As of 21 August 2026, this Paper Citation Record lists 16 of 16 outbound references and 0 inbound Pith citation observations for arXiv:2504.14955.

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

pith.paper-citation-record.v1
2504.14955 v1

Coverage vector

measured 16 of 16 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T11:38:54.575761Z

measured 16 of 16 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

16 of 16 outbound references displayed

verified exact1
verified fuzzy3
unresolved12
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation c7045ee5-c473-4bb1-a303-cc75ce28a200 · outbound

This paper cites The graph neural network model.

Efficient Document Retrieval with G-Retriever The graph neural network model

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:38:55.115062Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 3bc23143-843f-402b-8db9-072643d6ebec · outbound

This paper cites Large Language Models on Graphs: A Comprehensive Survey.

Efficient Document Retrieval with G-Retriever Large Language Models on Graphs: A Comprehensive Survey

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-16T11:38:54.047558Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9854f68b-82fb-459b-bcde-35ae2a00d6cc · outbound

This paper cites Integrating Graphs with Large Language Models: Methods and Prospects.

Efficient Document Retrieval with G-Retriever Integrating Graphs with Large Language Models: Methods and Prospects

Reference 3

Resolution: verified exact; local_arxiv, observed 2026-08-16T11:38:54.908242Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 27a7d05d-0310-41c7-97bc-718b9529744f · outbound

This paper cites G-Retriever: Retrieval-Augmented Generation for Textual Graph Understanding and Question Answering.

Efficient Document Retrieval with G-Retriever G-Retriever: Retrieval-Augmented Generation for Textual Graph Understanding and Question Answering

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-16T11:38:54.112543Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation aa386798-c5b4-4443-a3af-d79c709658e6 · outbound

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

Efficient Document Retrieval with G-Retriever The value of semantic parse labeling for knowledge base question answering

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:38:55.100427Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 9e63b4a6-b4f7-48ad-9081-48001a5b0b60 · outbound

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

Efficient Document Retrieval with G-Retriever GraphLLM: Boosting Graph Reasoning Ability of Large Language Model

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-16T11:38:54.151071Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ffde5c87-3f70-4842-9e12-8f6b8c81e14a · outbound

This paper cites Leveraging Large Language Models for Node Generation in Few-Shot Learning on Text-Attributed Graphs.

Efficient Document Retrieval with G-Retriever Leveraging Large Language Models for Node Generation in Few-Shot Learning on Text-Attributed Graphs

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-16T11:38:54.287781Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4e8a1758-3009-4515-8c15-510271af4a82 · outbound

This paper cites GIMLET: A Unified Graph-Text Model for Instruction-Based Molecule Zero-Shot Learning.

Efficient Document Retrieval with G-Retriever GIMLET: A Unified Graph-Text Model for Instruction-Based Molecule Zero-Shot Learning

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-16T11:38:54.313194Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e0f725ab-8d62-4a94-b40f-e3672eb62fe1 · outbound

This paper cites Multimodal Graph Learning for Generative Tasks.

Efficient Document Retrieval with G-Retriever Multimodal Graph Learning for Generative Tasks

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-16T11:38:54.320665Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8dc09212-dafe-4425-9808-f2d46d9ed581 · outbound

This paper cites Graph Neural Prompting with Large Language Models.

Efficient Document Retrieval with G-Retriever Graph Neural Prompting with Large Language Models

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-16T11:38:54.328015Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a8efff5d-960f-432c-8ea0-e48cf9ef1d57 · outbound

This paper cites A Survey of Graph Meets Large Language Model: Progress and Future Directions.

Efficient Document Retrieval with G-Retriever A Survey of Graph Meets Large Language Model: Progress and Future Directions

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-16T11:38:54.455754Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4ce53d9d-3d29-4862-9c9f-8c7bb805b9c7 · outbound

This paper cites Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks.

Efficient Document Retrieval with G-Retriever Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-16T11:38:54.521598Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 736936a8-6d98-4e0a-a13f-124c57f6198c · outbound

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

Efficient Document Retrieval with G-Retriever Retrieval-Augmented Generation for Large Language Models: A Survey

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-16T11:38:54.526839Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b744452b-b27c-41eb-bc09-3a99ab5bb592 · outbound

This paper cites Goemans, David Simchi-Levi, and David Williamson.

Efficient Document Retrieval with G-Retriever Goemans, David Simchi-Levi, and David Williamson

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:38:55.014301Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation a67c80cc-4ee9-4589-a1f8-4ea43e2183ea · outbound

This paper cites Understanding Attention and Generalization in Graph Neural Networks.

Efficient Document Retrieval with G-Retriever Understanding Attention and Generalization in Graph Neural Networks

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-16T11:38:54.535867Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 26e2a5ee-8419-47fe-b7a2-b93635471781 · outbound

This paper cites Graph Attention Networks.

Efficient Document Retrieval with G-Retriever Graph Attention Networks

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-16T11:38:54.575761Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.