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Paper Citation Record · LEDGER

LMRPA: Large Language Model-Driven Efficient Robotic Process Automation for OCR

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2412.18063.

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

pith.paper-citation-record.v1
2412.18063 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 2026-08-09T06:31:02.800959+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T22:58:13.325417Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T18:41:22.220393Z

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 a30a9682-0fa3-4d89-8363-f3f5da7d14f9 · inbound

A Multi-Layered Large Language Model Framework for Disease Prediction cites this paper.

A Multi-Layered Large Language Model Framework for Disease Prediction LMRPA: Large Language Model-Driven Efficient Robotic Process Automation for OCR

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-09T22:58:13.325417Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T22:58:13.325417Z digest=sha256:434d0ba9ea34ea97bca4e1dfbecf644f775562b62e2cbac0835c4570e8214687

Observation 0f4e3929-d65c-4cc6-8f19-fde51fc1089a · inbound

An Agentic Flow for Finite State Machine Extraction using Prompt Chaining cites this paper.

An Agentic Flow for Finite State Machine Extraction using Prompt Chaining LMRPA: Large Language Model-Driven Efficient Robotic Process Automation for OCR

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-06T17:17:30.633268Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:17:30.633268Z digest=sha256:8e8760946da608524af0502664894d2cae4a81e2a3bb279f616239a3a62fe503

Observation 94cdbed5-4057-4727-ae83-fdd86f7c94aa · inbound

Pixels to Play: A Foundation Model for 3D Gameplay cites this paper.

Pixels to Play: A Foundation Model for 3D Gameplay LMRPA: Large Language Model-Driven Efficient Robotic Process Automation for OCR

Reference 21

Resolution
verified exact
local_arxiv, observed 2026-08-05T18:41:22.286671Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T18:41:20.519790Z digest=sha256:8fc8971d416cbe273c1d2dba1ada74f38580e85e7660801eb4b0e3fca26a0c9f

Observation 41c7e164-f7a2-47eb-9884-45b0759e0662 · inbound

MultiFuzz: A Dense Retrieval-based Multi-Agent System for Network Protocol Fuzzing cites this paper.

MultiFuzz: A Dense Retrieval-based Multi-Agent System for Network Protocol Fuzzing LMRPA: Large Language Model-Driven Efficient Robotic Process Automation for OCR

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-05T18:42:11.915790Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T18:42:11.915790Z digest=sha256:d3636ce2ed8d5e5115b7c516e74b36f4092fca60ab36eec80380ab51d33274fe

Observation 0dc71466-526c-46d2-a7f9-c9bbd7b4609c · inbound

Scaling Arabic Medical Chatbots Using Synthetic Data: Enhancing Generative AI with Synthetic Patient Records cites this paper.

Scaling Arabic Medical Chatbots Using Synthetic Data: Enhancing Generative AI with Synthetic Patient Records LMRPA: Large Language Model-Driven Efficient Robotic Process Automation for OCR

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-04T18:10:02.294665Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T18:10:02.294665Z digest=sha256:2c9bcdad8247add7cc3ebb7f64b1aff1b26546cd033b4e7f009d64801639adac