Pith. sign in

Paper Citation Record · LEDGER

Large Language Models meet Network Slicing Management and Orchestration

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2403.13721.

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

pith.paper-citation-record.v1
2403.13721 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 2026-08-10T06:31:04.303077+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T22:42:00.900566Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T22:08:34.523196Z

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 634bdf51-d5b0-449d-b978-35b1e13ce0d1 · inbound

Large Language Model Based Multi-Agent System Augmented Complex Event Processing Pipeline for Internet of Multimedia Things cites this paper.

Large Language Model Based Multi-Agent System Augmented Complex Event Processing Pipeline for Internet of Multimedia Things Large Language Models meet Network Slicing Management and Orchestration

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-10T22:42:00.900566Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:42:00.900566Z digest=sha256:15f59c22294e2e93549ee71729a328b3e398af2d148ee86490af9938a2f13582

Observation a83c3095-7b2e-44a6-b825-9698656a58ee · inbound

From Large AI Models to Agentic AI: A Tutorial on Future Intelligent Communications cites this paper.

From Large AI Models to Agentic AI: A Tutorial on Future Intelligent Communications Large Language Models meet Network Slicing Management and Orchestration

Reference 145

Resolution
unresolved
no resolver link, observed 2026-08-07T13:13:57.789873Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:13:57.789873Z digest=sha256:d5a81f56eaab59160fd991712f4b0cc768532d6e1bd48fe503afc8f607ba3cdc

Observation 3a8d37f1-2b02-47d3-856b-7e161be2350d · inbound

Concept-Level AI for Telecom: Moving Beyond Large Language Models cites this paper.

Concept-Level AI for Telecom: Moving Beyond Large Language Models Large Language Models meet Network Slicing Management and Orchestration

Reference 14

Resolution
verified exact
local_arxiv, observed 2026-08-06T22:08:34.615804Z

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=2026-08-06T22:08:34.300652Z digest=sha256:48d9d8705e724020db98ddc9309e1b7012d3e4a7c6721abd52cb8421617043ff

Observation fdd330af-dd21-45b5-8382-adcb721f04fe · inbound

AI Reasoning for Wireless Communications and Networking: A Survey and Perspectives cites this paper.

AI Reasoning for Wireless Communications and Networking: A Survey and Perspectives Large Language Models meet Network Slicing Management and Orchestration

Reference 132

Resolution
unresolved
no resolver link, observed 2026-08-04T19:34:32.674606Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T19:34:32.674606Z digest=sha256:6dfbee43da84175a28daf917d7ab753cc4d3262dfbe5aaf9aeacdb532550bbae