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Paper Citation Record · LEDGER

Towards Unlocking Insights from Logbooks Using AI

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2406.12881.

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

pith.paper-citation-record.v1
2406.12881 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 2026-08-07T00:38:38.014369Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T11:36:55.052443Z

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 434ff16a-767a-4dfe-96ae-6855a66f587d · inbound

eLog analysis for accelerators: status and future outlook cites this paper.

eLog analysis for accelerators: status and future outlook Towards Unlocking Insights from Logbooks Using AI

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-07T00:38:38.014369Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:38:38.014369Z digest=sha256:c8503981178f73cecdadc6accc65a5f87ba0f1015672409a415fdb0d87e8456d

Observation e3f90276-5179-4375-bd74-91e95baa27f4 · inbound

Application Of Large Language Models For The Extraction Of Information From Particle Accelerator Technical Documentation cites this paper.

Application Of Large Language Models For The Extraction Of Information From Particle Accelerator Technical Documentation Towards Unlocking Insights from Logbooks Using AI

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-05T11:49:00.759193Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T11:49:00.759193Z digest=sha256:88c246af83c447d514da0f2864fe0d79e966f1597b333b3418b6ccb6e4cb5a3d

Observation aa3f0c19-6551-4c66-95ce-4dd73fdc7d1c · inbound

Archi: Agentic Operations at the CMS Experiment cites this paper.

Archi: Agentic Operations at the CMS Experiment Towards Unlocking Insights from Logbooks Using AI

Reference 20

Resolution
verified exact
arxiv_id, observed 2026-07-02T11:36:55.053711Z

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=2026-06-28T03:22:29.418047Z digest=sha256:6372510be5bd7d1c53f99905b14901cd2681b955fbed3c94587740dcbdd6f830

Observation 0b23ea06-9d8c-4f31-80d7-176aa9102fac · inbound

A corrective agentic hybrid RAG and an operations-grounded evaluation for a scientific facility cites this paper.

A corrective agentic hybrid RAG and an operations-grounded evaluation for a scientific facility Towards Unlocking Insights from Logbooks Using AI

Reference 34

Resolution
unresolved
no resolver link, observed 2026-07-31T08:38:01.182940Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-31T08:38:01.182940Z digest=sha256:d772d99979fa1348d0f07f114cd96e497796868fdb2141017c4df76ba5b0e6f8