Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
InstructGraph: Boosting Large Language Models via Graph-centric Instruction Tuning and Preference Alignment
As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2402.08785.
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 2026-08-10T06:31:04.303077+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-05-22T10:30:01.910920Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-22T10:31:25.492414Z
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 257e5dbe-f3de-4d86-b0b0-388eb0cca38e · inbound
Beyond One-Size-Fits-All: Adaptive Subgraph Denoising for Zero-Shot Graph Learning with Large Language Models cites this paper.
Beyond One-Size-Fits-All: Adaptive Subgraph Denoising for Zero-Shot Graph Learning with Large Language Models InstructGraph: Boosting Large Language Models via Graph-centric Instruction Tuning and Preference Alignment
Reference 39
- Resolution
- verified exact
- arxiv_id, observed 2026-05-22T10:31:25.495337Z
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.
Observation 5d4850c7-27ea-4a90-a53d-d94dfebc0356 · inbound
Revisiting Graph-Tokenizing Large Language Models: A Systematic Evaluation of Graph Token Understanding cites this paper.
Revisiting Graph-Tokenizing Large Language Models: A Systematic Evaluation of Graph Token Understanding InstructGraph: Boosting Large Language Models via Graph-centric Instruction Tuning and Preference Alignment
Reference 17
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T11:01:31.290738Z
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.