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Paper Citation Record · LEDGER

Large Language Models on Graphs: A Comprehensive Survey

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2312.02783.

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

pith.paper-citation-record.v1
2312.02783 v4

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T05:49:00.809138Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-01T19:36:08.168944Z

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 99b2f56e-3f32-444c-a809-9a1ac318b917 · inbound

Enhancing Large Language Models for Mobility Analytics with Semantic Location Tokenization cites this paper.

Enhancing Large Language Models for Mobility Analytics with Semantic Location Tokenization Large Language Models on Graphs: A Comprehensive Survey

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-07T05:49:00.809138Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:49:00.809138Z digest=sha256:4af65d59308bf780a4040c9867abaeef84f53ecc5dd5e6254172a5f2fcd7eca6

Observation f024328a-efc5-45c6-a42d-1cf2919c954e · inbound

Inference Scaled GraphRAG: Improving Multi Hop Question Answering on Knowledge Graphs cites this paper.

Inference Scaled GraphRAG: Improving Multi Hop Question Answering on Knowledge Graphs Large Language Models on Graphs: A Comprehensive Survey

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-06T23:03:54.326067Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:03:54.326067Z digest=sha256:831788866b203d7522d4d8e21fa3107e25794bdcf62ea85e814b41fe2e4c7720

Observation f4823814-a255-482b-a008-d4992c4f1243 · inbound

Text-Attributed Graph Anomaly Detection via Multi-Scale Cross- and Uni-Modal Contrastive Learning cites this paper.

Text-Attributed Graph Anomaly Detection via Multi-Scale Cross- and Uni-Modal Contrastive Learning Large Language Models on Graphs: A Comprehensive Survey

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-06T10:11:30.555463Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T10:11:30.555463Z digest=sha256:0d6f7db0ddb9676da51f6fba0027320278fa065274c5213009c92aaa9e1b0bfe

Observation 601166f0-295b-41b5-b1a6-741f41625a2a · 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 Large Language Models on Graphs: A Comprehensive Survey

Reference 95

Resolution
verified exact
arxiv_id, observed 2026-05-10T05:56:11.508357Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-10T05:43:04.813867Z digest=sha256:275eae03e1b35d607e0fcf2431a462b631bc201df07d19ad910a547a9f838845

Observation 472bad82-d97a-4212-9107-a8c52845503d · inbound

MoG: Mixture of Experts for Graph-based Retrieval-Augmented Generation cites this paper.

MoG: Mixture of Experts for Graph-based Retrieval-Augmented Generation Large Language Models on Graphs: A Comprehensive Survey

Reference 23

Resolution
verified exact
arxiv_id, observed 2026-07-01T19:36:08.170423Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-28T22:24:25.409345Z digest=sha256:f03a788cc9fde77b76afc3ce546c77e9ded37248dbbc5854bb1e81c866308900