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Paper Citation Record · LEDGER

Graph Neural Network Enhanced Retrieval for Question Answering of LLMs

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2406.06572.

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

pith.paper-citation-record.v1
2406.06572 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 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 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T22:03:31.270253Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-10T05:51:10.606369Z

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 d8ca2bb4-c9b8-4ebd-be19-d8dc89aa12b5 · inbound

KET-RAG: A Cost-Efficient Multi-Granular Indexing Framework for Graph-RAG cites this paper.

KET-RAG: A Cost-Efficient Multi-Granular Indexing Framework for Graph-RAG Graph Neural Network Enhanced Retrieval for Question Answering of LLMs

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-07T22:03:31.270253Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T22:03:31.270253Z digest=sha256:b25a4f8c5333059628d009d87299f1bbd2aaa9e9e8c25b5794518dfbbb3bf463

Observation e16e6c4a-8e92-4bfe-af75-a4f764247e5f · inbound

XGraphRAG: Interactive Visual Analysis for Graph-based Retrieval-Augmented Generation cites this paper.

XGraphRAG: Interactive Visual Analysis for Graph-based Retrieval-Augmented Generation Graph Neural Network Enhanced Retrieval for Question Answering of LLMs

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-07T05:10:57.010478Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:10:57.010478Z digest=sha256:1d8adb84cee72a12924acf5c9eef0f5a0529f1d13feea0fa9fe343ba5bcd19de

Observation 7d5b3ff3-f91f-45de-b68f-d3330abf34ac · inbound

Beyond Independent Passages: Adaptive Passage Combination Retrieval for Retrieval Augmented Open-Domain Question Answering cites this paper.

Beyond Independent Passages: Adaptive Passage Combination Retrieval for Retrieval Augmented Open-Domain Question Answering Graph Neural Network Enhanced Retrieval for Question Answering of LLMs

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-06T20:01:29.217514Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T20:01:29.217514Z digest=sha256:cc27606eba54e58cbb389a2c870324ac26532fdfa44360eee3a608c024780e02

Observation 87d481f2-ad94-4590-aa99-fa1fa6f74536 · inbound

PG-Agent: An Agent Powered by Page Graph cites this paper.

PG-Agent: An Agent Powered by Page Graph Graph Neural Network Enhanced Retrieval for Question Answering of LLMs

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-05T15:29:42.448227Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T15:29:42.448227Z digest=sha256:4ce0946ff5833cfa1d2b2cb99dd3a470a69a795df73955dab275ddedf6368536

Observation 246e6ffc-c983-4364-bdbd-03f0f5a5f051 · 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 Graph Neural Network Enhanced Retrieval for Question Answering of LLMs

Reference 179

Resolution
verified exact
arxiv_id, observed 2026-05-10T05:51:10.607631Z

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=sha256:4a142435db05dd37a4b07d1144b59e80cea3683bcfdba3d36aa5d5f137955ff6