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Paper Citation Record · LEDGER

Towards Unlocking Insights from Logbooks Using AI

As of 17 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 2026-08-17T06:30:58.91139+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:be573dc2d339a466378809d01b68400faf29bba774f4c21eb1d86032bd0c87ed

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=sha256:5f95dedf665848553739c0c02684413a8c2fba3c26a73ea5af66d3e5e6a594e5

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-06-28T03:22:29.418047Z digest=sha256:649845d2dc0ff33c0fa7784663422271ed2b534118d0e8ca734e477d2d5de2cd

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=sha256:9480d135decc8239ebc9c9667e8f1824c45957da12c402ebde667eea7c94951b