Pith. sign in

Paper Citation Record · LEDGER

LLM-Powered Knowledge Graphs for Enterprise Intelligence and Analytics

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2503.07993.

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

pith.paper-citation-record.v1
2503.07993 v1

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 2026-08-07T06:34:17.273281+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T23:35:21.934497Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T18:16:30.548575Z

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 77eb4d2f-db0f-49b3-bb75-8ac881f9be5b · inbound

From Unstructured Communication to Intelligent RAG: Multi-Agent Automation for Supply Chain Knowledge Bases cites this paper.

From Unstructured Communication to Intelligent RAG: Multi-Agent Automation for Supply Chain Knowledge Bases LLM-Powered Knowledge Graphs for Enterprise Intelligence and Analytics

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-06T23:35:21.934497Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:35:21.934497Z digest=sha256:26a7523f8e81ae242cc4badcd82f30b6555dfed30fd1baed15e62841158982f9

Observation 72cc00b5-e776-4e84-9c66-365dafe7ffcb · inbound

Matching Game Preferences Through Dialogical Large Language Models: A Perspective cites this paper.

Matching Game Preferences Through Dialogical Large Language Models: A Perspective LLM-Powered Knowledge Graphs for Enterprise Intelligence and Analytics

Reference 31

Resolution
verified exact
local_arxiv, observed 2026-08-06T13:54:27.889398Z

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=2026-08-06T13:54:26.853413Z digest=sha256:b240d390c7d08dbd08d1103d1be006e956566be5f6539a59e77110735fd7621b