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Paper Citation Record · LEDGER

An Agentic Approach to Automatic Creation of P&ID Diagrams from Natural Language Descriptions

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2412.12898.

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

pith.paper-citation-record.v1
2412.12898 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 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 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:35:27.036284Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-01T17:35:52.032857Z

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 bbd20854-87d2-44af-9bf8-318f299ace95 · inbound

AutoChemSchematic AI: Agentic Physics-Aware Automation for Chemical Manufacturing Scale-Up cites this paper.

AutoChemSchematic AI: Agentic Physics-Aware Automation for Chemical Manufacturing Scale-Up An Agentic Approach to Automatic Creation of P&ID Diagrams from Natural Language Descriptions

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-07T12:35:27.036284Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:35:27.036284Z digest=sha256:7bc93ac7fb8eb733eae2f6c66147a2da82184ed99ecf767ce0966f3ae89fbf7a

Observation d3241bb1-9a6c-4515-901b-08ccecd7b33e · inbound

From Detection to Action: Using LLM Agents for Fault-Tolerant Control cites this paper.

From Detection to Action: Using LLM Agents for Fault-Tolerant Control An Agentic Approach to Automatic Creation of P&ID Diagrams from Natural Language Descriptions

Reference 6

Resolution
verified exact
arxiv_id, observed 2026-07-01T17:35:52.034488Z

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=2026-06-29T03:26:54.609018Z digest=sha256:9aacc5bcd36ba46c656b09f33efe4487b76ae559dcafd1b165c969e678e409b7

Observation 6787bb59-76b3-4e03-8255-442e73ddbd35 · inbound

Exploring Agentic Workflows for Generating High Quality Math Visual Aids cites this paper.

Exploring Agentic Workflows for Generating High Quality Math Visual Aids An Agentic Approach to Automatic Creation of P&ID Diagrams from Natural Language Descriptions

Reference 14

Resolution
unresolved
no resolver link, observed 2026-07-14T15:09:09.618028Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T15:09:09.618028Z digest=sha256:76cbfe717bf9c431c94aafc896b93ccde3545a160ea7e8f8bfa9fb4ea8accac1