Pith. sign in

Paper Citation Record · LEDGER

Dual Reasoning: A GNN-LLM Collaborative Framework for Knowledge Graph Question Answering

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2406.01145.

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

pith.paper-citation-record.v1
2406.01145 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T04:47:37.757564Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T13:28:19.049181Z

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 26d0e0ae-19ca-4e1b-954d-df909e55a6ce · inbound

Retrieval-Augmented Generation with Graphs (GraphRAG) cites this paper.

Retrieval-Augmented Generation with Graphs (GraphRAG) Dual Reasoning: A GNN-LLM Collaborative Framework for Knowledge Graph Question Answering

Reference 251

Resolution
verified exact
arxiv_id, observed 2026-05-18T04:33:39.666752Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-18T04:33:39.076517Z digest=sha256:15b6d2a62959d1bcb84735037f1d33f859691283aa5f69965eaed14ae555a0de

Observation 0b8bfeaf-185f-41d6-869d-3fc239f650d2 · inbound

Learning Efficient and Generalizable Graph Retriever for Knowledge-Graph Question Answering cites this paper.

Learning Efficient and Generalizable Graph Retriever for Knowledge-Graph Question Answering Dual Reasoning: A GNN-LLM Collaborative Framework for Knowledge Graph Question Answering

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-07T04:47:37.757564Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:47:37.757564Z digest=sha256:65a7aa7f2ecaf4daa1ebdbfe20cf9c2cd3652eb17499ffe7decf643eed5dc8e9

Observation e4775a16-3c9f-4bca-832a-06772958eda4 · 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 Dual Reasoning: A GNN-LLM Collaborative Framework for Knowledge Graph Question Answering

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-06T22:31:19.374909Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T22:31:19.374909Z digest=sha256:bf8e973071e538c2c8a8246a74ae7a82993fc0bb10882b2814e4a636e6f950fb

Observation 3f2baecf-3189-416a-9115-1e325b68306c · inbound

Bottom-up Domain-specific Superintelligence: A Reliable Knowledge Graph is What We Need cites this paper.

Bottom-up Domain-specific Superintelligence: A Reliable Knowledge Graph is What We Need Dual Reasoning: A GNN-LLM Collaborative Framework for Knowledge Graph Question Answering

Reference 74

Resolution
unresolved
no resolver link, observed 2026-08-06T16:17:41.809430Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:17:41.809430Z digest=sha256:e88e9b7e5c92f9d5d1a7f90fb0cb18eddf3dd5d826f17d082956c5a6cc3e1cde

Observation 37e5fede-fc87-410f-aa21-6b01129a5973 · 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 Dual Reasoning: A GNN-LLM Collaborative Framework for Knowledge Graph Question Answering

Reference 177

Resolution
metadata mismatch
arxiv_id, observed 2026-05-10T05:51:10.615398Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-05-10T05:43:04.813867Z digest=sha256:5f88916647e598519a1be639a70c4f0501fb6a3c356b7fc19ef2cc7612dfcef6

Observation 83cc4827-78f2-478a-a8b1-9b7f5e1de54a · inbound

LLMs+Graphs: Toward Graph-Native, Synergistic AI Systems cites this paper.

LLMs+Graphs: Toward Graph-Native, Synergistic AI Systems Dual Reasoning: A GNN-LLM Collaborative Framework for Knowledge Graph Question Answering

Reference 32

Resolution
metadata mismatch
arxiv_id, observed 2026-07-03T13:28:19.050859Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-27T08:00:38.559294Z digest=sha256:17a2705e9da0e6a4787fdf4188b95231fac0796155683156106c7924741aa540