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Paper Citation Record · LEDGER

Joint Embeddings for Graph Instruction Tuning

As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2405.20684.

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

pith.paper-citation-record.v1
2405.20684 v2

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 2026-08-14T06:32:32.682623+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T22:38:29.545140Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-18T04:33:39.444865Z

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 2fc7e9d6-460d-4a85-9b33-85973a16fe28 · inbound

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

Retrieval-Augmented Generation with Graphs (GraphRAG) Joint Embeddings for Graph Instruction Tuning

Reference 9

Resolution
verified exact
arxiv_id, observed 2026-05-18T04:33:39.447310Z

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.

source=pdf_text observed=2026-05-18T04:33:39.076517Z digest=sha256:992bbb51076cd13995b177572b1d42793feb3f3c1832d255acfb4177d5381efc

Observation 91fb01d0-82cb-4d1f-a8a4-2ae04300dfab · inbound

Graph2text or Graph2token: A Perspective of Large Language Models for Graph Learning cites this paper.

Graph2text or Graph2token: A Perspective of Large Language Models for Graph Learning Joint Embeddings for Graph Instruction Tuning

Reference 134

Resolution
unresolved
no resolver link, observed 2026-08-10T22:38:29.545140Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:38:29.545140Z digest=sha256:53d531bb224536b47eab808fe8914e5c7c04b66ddfc81fc30c41f9e3315df448