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Paper Citation Record · LEDGER

Graph Learning in the Era of LLMs: A Survey from the Perspective of Data, Models, and Tasks

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2412.12456.

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

pith.paper-citation-record.v1
2412.12456 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 2026-08-08T06:32:00.761636+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T19:48:40.606729Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T01:27:31.658024Z

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 b621706a-0338-4c6e-899b-905a84d0d1a9 · inbound

A Query-Aware Multi-Path Knowledge Graph Fusion Approach for Enhancing Retrieval-Augmented Generation in Large Language Models cites this paper.

A Query-Aware Multi-Path Knowledge Graph Fusion Approach for Enhancing Retrieval-Augmented Generation in Large Language Models Graph Learning in the Era of LLMs: A Survey from the Perspective of Data, Models, and Tasks

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-06T19:48:40.606729Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:48:40.606729Z digest=sha256:f62f2c39f7a55a3822719adc51e99144b10b0339fc9337c2108252614237b720

Observation 433384d8-1280-474f-b8eb-6f22e45a88a1 · inbound

Deploying AI for Signal Processing education: Selected challenges and intriguing opportunities cites this paper.

Deploying AI for Signal Processing education: Selected challenges and intriguing opportunities Graph Learning in the Era of LLMs: A Survey from the Perspective of Data, Models, and Tasks

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-04T19:59:17.174007Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T19:59:17.174007Z digest=sha256:28b026a1758ff77d9eb0a26513bc95d4b94b57530df5562e0a1f7dc0c181f4f5

Observation 555857fc-c403-45a3-866c-44a54fb63d73 · inbound

When LLM Agents Meet Graph Optimization: An Automated Data Quality Improvement Approach cites this paper.

When LLM Agents Meet Graph Optimization: An Automated Data Quality Improvement Approach Graph Learning in the Era of LLMs: A Survey from the Perspective of Data, Models, and Tasks

Reference 27

Resolution
verified exact
arxiv_id, observed 2026-05-18T08:46:07.752164Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-18T08:45:51.992431Z digest=sha256:cae446adc11020d25b1ab164f3880dc7b92ae7f398337d9e5d2b070d44eab2ba

Observation faffc647-47aa-460a-b420-43bc6c91b506 · inbound

Detecting Differences Is Not Understanding Structure: Large Language Models Fail at Graph Isomorphism cites this paper.

Detecting Differences Is Not Understanding Structure: Large Language Models Fail at Graph Isomorphism Graph Learning in the Era of LLMs: A Survey from the Perspective of Data, Models, and Tasks

Reference 15

Resolution
verified exact
arxiv_id, observed 2026-07-03T01:27:31.659343Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-06-27T16:28:27.657061Z digest=sha256:8195bdfda964bd7d20563bfc31317be45e2e506655e54ec03c847fcbd0bb35fa