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Paper Citation Record · LEDGER

Data Imputation using Large Language Model to Accelerate Recommendation System

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2407.10078.

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

pith.paper-citation-record.v1
2407.10078 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 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 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T19:10:17.570768Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-01T14:05:46.689475Z

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 2ca7259e-4ec0-4bc6-b883-3abf49ef1d13 · inbound

QUEST: Query Optimization in Unstructured Document Analysis cites this paper.

QUEST: Query Optimization in Unstructured Document Analysis Data Imputation using Large Language Model to Accelerate Recommendation System

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-06T19:10:17.570768Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:10:17.570768Z digest=sha256:e6bab55553bbe9a2333cf14ebc8053307fadc243a948900cebbf8287a40c9090

Observation dee4ca09-22a2-4198-b5bb-1db066c0f6a6 · inbound

Empowering Tabular Data Preparation with Language Models: Why and How? cites this paper.

Empowering Tabular Data Preparation with Language Models: Why and How? Data Imputation using Large Language Model to Accelerate Recommendation System

Reference 2003

Resolution
unresolved
no resolver link, observed 2026-08-06T05:35:52.545238Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T05:35:52.545238Z digest=sha256:ce246052c386bfb1748ef385f5c4e3bc514a0b2918e2be50ce2ff2287c3cde08

Observation 3186247d-5aa9-457c-a3aa-c3e960a4e88d · inbound

ProfiliTable: Profiling-Driven Tabular Data Processing via Agentic Workflows cites this paper.

ProfiliTable: Profiling-Driven Tabular Data Processing via Agentic Workflows Data Imputation using Large Language Model to Accelerate Recommendation System

Reference 3

Resolution
verified exact
arxiv_id, observed 2026-05-13T05:57:22.526743Z

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=2026-05-13T05:56:36.312877Z digest=sha256:9934c6bdca0bd8e26625930b6312668aef80abf56137fe9fca78f3de0477d744

Observation f6577baa-689f-4c10-bf0d-93dd74acc569 · inbound

ProfiliTable: Profiling-Driven Tabular Data Processing via Agentic Workflows cites this paper.

ProfiliTable: Profiling-Driven Tabular Data Processing via Agentic Workflows Data Imputation using Large Language Model to Accelerate Recommendation System

Reference 3

Resolution
verified exact
arxiv_id, observed 2026-07-01T14:05:46.691009Z

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=2026-06-30T22:18:45.189576Z digest=sha256:afdb6d9cf7522a61a46e69a37b679302c816a3da7bc148e938102fbd3292bc03

Observation fffa8139-bf47-406f-b464-3e4a7cf027d4 · inbound

MARS: Multi-Agent Re-ranking for Repeat-Order Food Delivery Recommendation cites this paper.

MARS: Multi-Agent Re-ranking for Repeat-Order Food Delivery Recommendation Data Imputation using Large Language Model to Accelerate Recommendation System

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-01T02:32:34.203813Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T02:32:34.203813Z digest=sha256:3f1baec8eb90e0e0a594c4a58ac33f967a477cdafe2284df24db6fbebc7f7805