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Paper Citation Record · LEDGER

GraphEval36K: Benchmarking Coding and Reasoning Capabilities of Large Language Models on Graph Datasets

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2406.16176.

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

pith.paper-citation-record.v1
2406.16176 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T15:42:44.016710Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T14:34:07.640740Z

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 af09d4f2-7ce4-43f9-beec-a18a25717b0c · inbound

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

Pseudocode-Injection Magic: Enabling LLMs to Tackle Graph Computational Tasks GraphEval36K: Benchmarking Coding and Reasoning Capabilities of Large Language Models on Graph Datasets

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-10T15:42:44.016710Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T15:42:44.016710Z digest=sha256:8f6ff4ca4c7f571237f54d72684d0f6aeb4897d0674120acc29b5adb79843b81

Observation 8486740e-5fff-4e41-b9ed-3801115bfb38 · inbound

G1: Teaching LLMs to Reason on Graphs with Reinforcement Learning cites this paper.

G1: Teaching LLMs to Reason on Graphs with Reinforcement Learning GraphEval36K: Benchmarking Coding and Reasoning Capabilities of Large Language Models on Graph Datasets

Reference 47

Resolution
verified exact
local_arxiv, observed 2026-08-07T14:34:07.734783Z

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.

source=pdf_text observed=2026-08-07T14:34:05.741222Z digest=sha256:e6d87b9a179931b5bb1abe9805bf8bbc74c65888e258a769dee3e034fbd6394f