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Paper Citation Record · LEDGER

CogMG: Collaborative Augmentation Between Large Language Model and Knowledge Graph

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2406.17231.

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

pith.paper-citation-record.v1
2406.17231 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 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 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T15:11:30.284807Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-10T05:51:10.638388Z

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 ff99924a-f653-4f7e-b63f-b2247f68d469 · inbound

Joint Enhancement of Relational Reasoning for Long-Context LLMs cites this paper.

Joint Enhancement of Relational Reasoning for Long-Context LLMs CogMG: Collaborative Augmentation Between Large Language Model and Knowledge Graph

Reference 53

Resolution
unresolved
no resolver link, observed 2026-08-05T15:11:30.284807Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T15:11:30.284807Z digest=sha256:0310abe4c710fec9fec8c453f805289a4050ac135c24714f50c6f931e98f0db9

Observation e7bb397b-4463-4bd0-bc44-af99fab4779e · 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 CogMG: Collaborative Augmentation Between Large Language Model and Knowledge Graph

Reference 182

Resolution
verified exact
arxiv_id, observed 2026-05-10T05:51:10.639774Z

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.

source=arxiv_source observed=2026-05-10T05:43:04.813867Z digest=sha256:16c9fa1aa743599e0634a120ed37ede503b65c6b48118f2753f7fa699ccc6117