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Paper Citation Record · LEDGER

On LLM-Enhanced Mixed-Type Data Imputation with High-Order Message Passing

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2501.02191.

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

pith.paper-citation-record.v1
2501.02191 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 2026-08-08T06:32:00.761636+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:00:57.842546Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T23:19:04.259071Z

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 1446e32c-0515-4460-bc37-03437e26b8d3 · inbound

LLM-based HSE Compliance Assessment: Benchmark, Performance, and Advancements cites this paper.

LLM-based HSE Compliance Assessment: Benchmark, Performance, and Advancements On LLM-Enhanced Mixed-Type Data Imputation with High-Order Message Passing

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-07T13:00:57.842546Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:00:57.842546Z digest=sha256:e857367177d68e22d5ac66e199cd3549155c6b02b4b648ab75a0f4097af6ebf9

Observation 3dd34c46-ef17-497e-87e1-a5270f2696b9 · inbound

Collaborative Large and Small Language Models for Accurate and Scalable Data Repair cites this paper.

Collaborative Large and Small Language Models for Accurate and Scalable Data Repair On LLM-Enhanced Mixed-Type Data Imputation with High-Order Message Passing

Reference 3

Resolution
verified exact
arxiv_id, observed 2026-07-03T23:19:04.261902Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-26T22:25:39.533017Z digest=sha256:9fb40c0880b9fc1a0247695a544e01213c4373bdeb10202acd287f92509ec9bf