Paper Citation Record · LEDGER

Graph Prompt Learning: A Comprehensive Survey and Beyond

As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 18 inbound Pith citation observations for arXiv:2311.16534.

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

pith.paper-citation-record.v1
2311.16534 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 18 of 18 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 18 of 18 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T15:55:27.801353Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T09:49:45.013746Z

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 dd3bfa9c-e5f5-45e8-8e70-4cb903c6654b · inbound

Heterophilic Graph Neural Networks Optimization with Causal Message-passing cites this paper.

Heterophilic Graph Neural Networks Optimization with Causal Message-passing Graph Prompt Learning: A Comprehensive Survey and Beyond

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-12T15:55:27.801353Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 36454f4a-bf82-4831-a006-b2033694eac3 · inbound

Can Graph Neural Networks Learn Language with Extremely Weak Text Supervision? cites this paper.

Can Graph Neural Networks Learn Language with Extremely Weak Text Supervision? Graph Prompt Learning: A Comprehensive Survey and Beyond

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-11T18:13:12.670722Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ab1e0326-d98c-4cfb-b2e8-ba3e4dc4eea4 · inbound

Prompt-Driven Continual Graph Learning cites this paper.

Prompt-Driven Continual Graph Learning Graph Prompt Learning: A Comprehensive Survey and Beyond

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-08T15:53:24.169189Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3f5f9ef4-3afe-4efa-be06-1f2fb0535dfb · inbound

GCAL: Adapting Graph Models to Evolving Domain Shifts cites this paper.

GCAL: Adapting Graph Models to Evolving Domain Shifts Graph Prompt Learning: A Comprehensive Survey and Beyond

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-07T15:00:24.447922Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 591c02fa-5ebe-44d8-9e14-971fd8699106 · inbound

Graph Prompting for Graph Learning Models: Recent Advances and Future Directions cites this paper.

Graph Prompting for Graph Learning Models: Recent Advances and Future Directions Graph Prompt Learning: A Comprehensive Survey and Beyond

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-07T05:17:17.126927Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d707f116-be60-4020-9456-8556bdc6f451 · inbound

PLACE: Prompt Learning for Attributed Community Search in Large Graphs cites this paper.

PLACE: Prompt Learning for Attributed Community Search in Large Graphs Graph Prompt Learning: A Comprehensive Survey and Beyond

Reference 47

Resolution: verified exact; arxiv_id, observed 2026-05-25T07:50:29.419177Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 85e6406d-3474-45da-89ca-9e3fffd10a0f · inbound

HGMP:Heterogeneous Graph Multi-Task Prompt Learning cites this paper.

HGMP:Heterogeneous Graph Multi-Task Prompt Learning Graph Prompt Learning: A Comprehensive Survey and Beyond

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-06T18:49:12.732082Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 487cfac6-7c28-424d-ab96-3750adfc5445 · inbound

Heterogeneous Graph Prompt Learning via Adaptive Weight Pruning cites this paper.

Heterogeneous Graph Prompt Learning via Adaptive Weight Pruning Graph Prompt Learning: A Comprehensive Survey and Beyond

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-06T18:12:27.890230Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 031daf69-dc85-4349-a71c-ecd3f5a399e9 · inbound

GSTBench: A Benchmark Study on the Transferability of Graph Self-Supervised Learning cites this paper.

GSTBench: A Benchmark Study on the Transferability of Graph Self-Supervised Learning Graph Prompt Learning: A Comprehensive Survey and Beyond

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-05T14:36:36.444988Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b254c64c-2c88-4db6-b229-4f2fac2a3743 · inbound

GILT: An LLM-Free, Tuning-Free Graph Foundational Model for In-Context Learning cites this paper.

GILT: An LLM-Free, Tuning-Free Graph Foundational Model for In-Context Learning Graph Prompt Learning: A Comprehensive Survey and Beyond

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-04T11:30:51.929298Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6d4d458c-d635-46e5-b11f-792ac7fb0ce3 · inbound

Cross-Paradigm Graph Backdoor Attacks with Promptable Subgraph Triggers cites this paper.

Cross-Paradigm Graph Backdoor Attacks with Promptable Subgraph Triggers Graph Prompt Learning: A Comprehensive Survey and Beyond

Reference 47

Resolution: verified exact; arxiv_id, observed 2026-05-18T04:52:23.404069Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation d3b00fe2-c482-4d0f-aafc-994d2a015f66 · inbound

Towards Fair Graph Prompting: A Dual-Prompt Mechanism for Mitigating Attribute and Structural Bias cites this paper.

Towards Fair Graph Prompting: A Dual-Prompt Mechanism for Mitigating Attribute and Structural Bias Graph Prompt Learning: A Comprehensive Survey and Beyond

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-04T07:55:00.479053Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation df204f12-8368-4d0b-9e1f-920204e7a56c · inbound

Unified Multi-Domain Graph Pre-training for Homogeneous and Heterogeneous Graphs via Domain-Specific Expert Encoding cites this paper.

Unified Multi-Domain Graph Pre-training for Homogeneous and Heterogeneous Graphs via Domain-Specific Expert Encoding Graph Prompt Learning: A Comprehensive Survey and Beyond

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-02T23:38:54.632538Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation da94785b-2f71-4059-bbac-ba8d7f342bb4 · inbound

Unified Graph Prompt Learning via Low-Rank Graph Message Prompting cites this paper.

Unified Graph Prompt Learning via Low-Rank Graph Message Prompting Graph Prompt Learning: A Comprehensive Survey and Beyond

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-05-11T09:16:02.714456Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation fdc6d427-c212-49c3-8840-4f5bf40185a6 · inbound

CHoE: Cross-Domain Heterogeneous Graph Prompt Learning via Structure-Conditioned Experts cites this paper.

CHoE: Cross-Domain Heterogeneous Graph Prompt Learning via Structure-Conditioned Experts Graph Prompt Learning: A Comprehensive Survey and Beyond

Reference 18

Resolution: verified exact; arxiv_id, observed 2026-05-20T20:18:59.776663Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 747dd362-cf0d-494b-86f2-b7a908cbc8fc · inbound

CHoE: Cross-Domain Heterogeneous Graph Prompt Learning via Structure-Conditioned Experts cites this paper.

CHoE: Cross-Domain Heterogeneous Graph Prompt Learning via Structure-Conditioned Experts Graph Prompt Learning: A Comprehensive Survey and Beyond

Reference 18

Resolution: verified exact; arxiv_id, observed 2026-07-01T14:55:47.461337Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation dae729c2-6db4-4fd0-8aea-ffbfdcc4681a · inbound

PromptDyG: Test-Time Prompt Adaptation on Dynamic Graphs cites this paper.

PromptDyG: Test-Time Prompt Adaptation on Dynamic Graphs Graph Prompt Learning: A Comprehensive Survey and Beyond

Reference 7

Resolution: metadata mismatch; arxiv_id, observed 2026-07-04T09:49:45.015075Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation f527c140-6b00-429e-99a0-a128bc033320 · inbound

CoEvoT: Co-Evolving Chain-of-Thought Prompting for Graph-LLM Reasoning cites this paper.

CoEvoT: Co-Evolving Chain-of-Thought Prompting for Graph-LLM Reasoning Graph Prompt Learning: A Comprehensive Survey and Beyond

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-02T14:39:19.424668Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.