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Paper Citation Record · LEDGER

GCoder: Improving Large Language Model for Generalized Graph Problem Solving

As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2410.19084.

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

pith.paper-citation-record.v1
2410.19084 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 2026-08-14T06:32:32.682623+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T15:42:44.024213Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-23T03:32:28.639546Z

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 4ad2bd53-42c1-4a55-9907-fb2cf9ce32be · inbound

Pseudocode-Injection Magic: Enabling LLMs to Tackle Graph Computational Tasks cites this paper.

Pseudocode-Injection Magic: Enabling LLMs to Tackle Graph Computational Tasks GCoder: Improving Large Language Model for Generalized Graph Problem Solving

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-10T15:42:44.024213Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T15:42:44.024213Z digest=sha256:32148357cdee2d200b5515f273afa39bde26c03d112d4ad806f71569f1d32aa3

Observation ab75f4f1-5e15-4240-b66f-d8720d1510c8 · inbound

ArchRAG: Attributed Community-based Hierarchical Retrieval-Augmented Generation cites this paper.

ArchRAG: Attributed Community-based Hierarchical Retrieval-Augmented Generation GCoder: Improving Large Language Model for Generalized Graph Problem Solving

Reference 70

Resolution
verified exact
arxiv_id, observed 2026-05-23T03:32:28.641708Z

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=arxiv_source observed=2026-05-23T03:28:13.313028Z digest=sha256:7c5ca3c6a9dd919231e8df7fe8d684092ae061302dbb9483a66e310fcd73c1f4

Observation f41c01dc-6f04-48b7-b3c2-383d08670418 · inbound

Harnessing Adaptive Topology Representations for Zero-Shot Graph Question Answering cites this paper.

Harnessing Adaptive Topology Representations for Zero-Shot Graph Question Answering GCoder: Improving Large Language Model for Generalized Graph Problem Solving

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-05T22:55:20.901690Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T22:55:20.901690Z digest=sha256:b7eeb85b395cf552a1919d98a234973e30e66f4f9b54882bdbe5e21c40f6b643

Observation 97148639-ad2f-45fb-ac60-959e569d84c8 · inbound

Large Language Models for Operations Research: A Comprehensive Survey cites this paper.

Large Language Models for Operations Research: A Comprehensive Survey GCoder: Improving Large Language Model for Generalized Graph Problem Solving

Reference 81

Resolution
verified exact
arxiv_id, observed 2026-05-21T03:59:32.557779Z

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=2026-05-21T03:56:29.983335Z digest=sha256:2ffb642af469dac33e1330f40ec52ad5f883fc8c71ff20bd47005e90b6b44de4