Paper Citation Record · LEDGER

InstructGraph: Boosting Large Language Models via Graph-centric Instruction Tuning and Preference Alignment

As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2402.08785.

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

pith.paper-citation-record.v1
2402.08785 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T23:49:58.590047Z

measured 0 of 1 external citation measurements

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 bcc9804a-39f7-4190-8a14-303b02ad8364 · inbound

Personalized Multimodal Large Language Models: A Survey cites this paper.

Personalized Multimodal Large Language Models: A Survey InstructGraph: Boosting Large Language Models via Graph-centric Instruction Tuning and Preference Alignment

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-11T23:49:58.590047Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8479344a-43ed-4927-8c81-20a19b6de701 · inbound

Thinking with Knowledge Graphs: Enhancing LLM Reasoning Through Structured Data cites this paper.

Thinking with Knowledge Graphs: Enhancing LLM Reasoning Through Structured Data InstructGraph: Boosting Large Language Models via Graph-centric Instruction Tuning and Preference Alignment

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-11T15:47:29.468083Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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 2026-08-13T06:32:02.005865+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 2026-08-13T06:32:02.005865+00:00.