Paper Citation Record · LEDGER

GraphGPT: Graph Instruction Tuning for Large Language Models

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:2310.13023.

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

pith.paper-citation-record.v1
2310.13023 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 9 of 9 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 9 of 9 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T14:01:38.446044Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-30T20:55:04.005919Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 304568a9-9b20-47cd-ab8f-23a7423dad63 · inbound

GraphICL: Unlocking Graph Learning Potential in LLMs through Structured Prompt Design cites this paper.

GraphICL: Unlocking Graph Learning Potential in LLMs through Structured Prompt Design GraphGPT: Graph Instruction Tuning for Large Language Models

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-10T14:01:38.446044Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 548fa33d-09f0-4194-8352-aed348c3eddf · inbound

When Do LLMs Help With Node Classification? A Comprehensive Analysis cites this paper.

When Do LLMs Help With Node Classification? A Comprehensive Analysis GraphGPT: Graph Instruction Tuning for Large Language Models

Reference 2021

Resolution: unresolved; no resolver link, observed 2026-08-09T17:37:13.179478Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 087cf104-3558-4e36-a23d-5e1ea47af255 · inbound

LKD-KGC: Domain-Specific KG Construction via LLM-driven Knowledge Dependency Parsing cites this paper.

LKD-KGC: Domain-Specific KG Construction via LLM-driven Knowledge Dependency Parsing GraphGPT: Graph Instruction Tuning for Large Language Models

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-07T12:36:01.275516Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5eb996b0-0d3e-41d6-a912-cbaec79c5239 · inbound

MLaGA: Multimodal Large Language and Graph Assistant cites this paper.

MLaGA: Multimodal Large Language and Graph Assistant GraphGPT: Graph Instruction Tuning for Large Language Models

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-07T11:26:42.961328Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a1eebefb-7fee-412b-b952-e6b8d0207a5b · inbound

GraphLAMA: Enabling Efficient Adaptation of Graph Language Models with Limited Annotations cites this paper.

GraphLAMA: Enabling Efficient Adaptation of Graph Language Models with Limited Annotations GraphGPT: Graph Instruction Tuning for Large Language Models

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-07T04:43:41.874359Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b49ae695-1901-4f1c-8169-357789878c11 · inbound

Harnessing Adaptive Topology Representations for Zero-Shot Graph Question Answering cites this paper.

Harnessing Adaptive Topology Representations for Zero-Shot Graph Question Answering GraphGPT: Graph Instruction Tuning for Large Language Models

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-05T22:55:20.864067Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3119a54b-2ea4-4f9d-8ed5-791fb6a31157 · inbound

EHRAG: Bridging Semantic Gaps in Lightweight GraphRAG via Hybrid Hypergraph Construction and Retrieval cites this paper.

EHRAG: Bridging Semantic Gaps in Lightweight GraphRAG via Hybrid Hypergraph Construction and Retrieval GraphGPT: Graph Instruction Tuning for Large Language Models

Reference 124

Resolution: verified exact; arxiv_id, observed 2026-05-10T05:51:10.715224Z

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 6ec6b615-bcb2-4c35-8661-fddd224e4e78 · inbound

Graphs of Research: Citation Evolution Graphs as Supervision for Research Idea Generation cites this paper.

Graphs of Research: Citation Evolution Graphs as Supervision for Research Idea Generation GraphGPT: Graph Instruction Tuning for Large Language Models

Reference 29

Resolution: metadata mismatch; arxiv_id, observed 2026-06-30T20:55:04.007880Z

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 47b2be6b-4d10-4aa7-a7f7-ea4cbc914a2a · inbound

One Model, Many Graphs: Learning over Attributed Graphs across Heterogeneous Modalities with Vision-Language Models cites this paper.

One Model, Many Graphs: Learning over Attributed Graphs across Heterogeneous Modalities with Vision-Language Models GraphGPT: Graph Instruction Tuning for Large Language Models

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-01T13:26:31.188946Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.