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Paper Citation Record · LEDGER

Top Ten Challenges Towards Agentic Neural Graph Databases

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2501.14224.

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

pith.paper-citation-record.v1
2501.14224 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 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 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-30T20:28:41.778793Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-01T19:36:09.070970Z

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 da225a02-54ef-4ecc-83df-11b5e58a64dc · inbound

KGPFN: Unlocking the Potential of Knowledge Graph Foundation Model via In-Context Learning cites this paper.

KGPFN: Unlocking the Potential of Knowledge Graph Foundation Model via In-Context Learning Top Ten Challenges Towards Agentic Neural Graph Databases

Reference 4

Resolution
metadata mismatch
arxiv_id, observed 2026-06-30T20:35:02.797166Z

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=2026-06-30T20:28:41.778793Z digest=sha256:d7ad15e04be9b4a2ddb7dcf3120fd60dd2bca42cfd70df3b9aaa49b83e58f83a

Observation d8fb2308-3df3-443b-a619-4c54788f53f8 · inbound

Neural Scalable Symbolic Search Framework for Complex Logical Queries with Multiple Free Variables cites this paper.

Neural Scalable Symbolic Search Framework for Complex Logical Queries with Multiple Free Variables Top Ten Challenges Towards Agentic Neural Graph Databases

Reference 5

Resolution
verified exact
arxiv_id, observed 2026-06-29T21:53:58.929798Z

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=2026-06-29T21:53:21.277548Z digest=sha256:861e71ccd1aec9bb620f323381e410d13ba36ee28e60786f4c3950dae9e061ba

Observation e2126382-85de-4dec-83ee-0289f7b5e40d · inbound

HypoAgent: An Agentic Framework for Interactive Abductive Hypothesis Generation over Knowledge Graphs cites this paper.

HypoAgent: An Agentic Framework for Interactive Abductive Hypothesis Generation over Knowledge Graphs Top Ten Challenges Towards Agentic Neural Graph Databases

Reference 1

Resolution
verified exact
arxiv_id, observed 2026-07-01T19:36:09.072620Z

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=2026-06-28T22:15:23.782476Z digest=sha256:5296f5bdd9766b7aaab9a434514c43cd413f90d11f51a08aa354fd97243695e6