Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
NodeRAG: Structuring Graph-based RAG with Heterogeneous Nodes
As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2504.11544.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-12T00:37:51.763542Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-04T13:09:51.253601Z
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 8d972614-0d7d-4db8-882b-6b807d14dd04 · inbound
MemOS: An Operating System for Memory-Augmented Generation (MAG) in Large Language Models cites this paper.
MemOS: An Operating System for Memory-Augmented Generation (MAG) in Large Language Models NodeRAG: Structuring Graph-based RAG with Heterogeneous Nodes
Reference 31
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T13:18:57.219836Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7a2de2a3-173c-4e78-8c6c-e115251154b3 · inbound
GOSU: Retrieval-Augmented Generation with Global-Level Optimized Semantic Unit-Centric Framework cites this paper.
GOSU: Retrieval-Augmented Generation with Global-Level Optimized Semantic Unit-Centric Framework NodeRAG: Structuring Graph-based RAG with Heterogeneous Nodes
Reference 79
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T13:36:44.393482Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c2e6b8ff-0488-4f7e-81b5-aff3354ea3bd · inbound
SAGE: A Self-Evolving Agentic Graph-Memory Engine for Structure-Aware Associative Memory cites this paper.
SAGE: A Self-Evolving Agentic Graph-Memory Engine for Structure-Aware Associative Memory NodeRAG: Structuring Graph-based RAG with Heterogeneous Nodes
Reference 265
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T04:52:17.460182Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 1aae1d97-fbb6-4e4b-a957-29a8b4238990 · inbound
Temporal Validity in Retrieval Memory: Eliminating Stale-Fact Errors for AI Agents over Evolving Knowledge cites this paper.
Temporal Validity in Retrieval Memory: Eliminating Stale-Fact Errors for AI Agents over Evolving Knowledge NodeRAG: Structuring Graph-based RAG with Heterogeneous Nodes
Reference 4
- Resolution
- verified exact
- arxiv_id, observed 2026-07-04T13:09:51.254930Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 2d42bb3a-a16c-49e9-a5b0-cd567fe97628 · inbound
VDGR-RAG: Vectors, Directories, Graphs, and Reflection Are All You Need for Unified Reasoning over Hierarchical Enterprise Knowledge cites this paper.
VDGR-RAG: Vectors, Directories, Graphs, and Reflection Are All You Need for Unified Reasoning over Hierarchical Enterprise Knowledge NodeRAG: Structuring Graph-based RAG with Heterogeneous Nodes
Reference 14
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T00:37:51.763542Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.