Pith. sign in

Paper Citation Record · LEDGER

BC4LLM: Trusted Artificial Intelligence When Blockchain Meets Large Language Models

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2310.06278.

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

pith.paper-citation-record.v1
2310.06278 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 2026-08-21T06:32:19.484+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T13:04:54.341915Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T13:14:04.600397Z

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 2ef41b83-73a3-40ea-bd8a-e5ac5ed2bb94 · inbound

Large Language Model Federated Learning with Blockchain and Unlearning for Cross-Organizational Collaboration cites this paper.

Large Language Model Federated Learning with Blockchain and Unlearning for Cross-Organizational Collaboration BC4LLM: Trusted Artificial Intelligence When Blockchain Meets Large Language Models

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-11T13:04:54.341915Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T13:04:54.341915Z digest=sha256:b158693c65fce3d225ea7d499db6a15b9fffec391e26a7ee15d5eb8d1ab2fe46

Observation 002e25bb-5357-488e-bb74-6fe7dbf96f64 · 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 BC4LLM: Trusted Artificial Intelligence When Blockchain Meets Large Language Models

Reference 149

Resolution
verified exact
local_arxiv, observed 2026-08-07T13:14:04.741871Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-07T13:13:58.150769Z digest=sha256:9d565b04fcef27a448d456a57572cc3e2fc21c6c173fc0cd34f0b09b94683361