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Paper Citation Record · LEDGER

Automating the Enterprise with Foundation Models

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2405.03710.

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

pith.paper-citation-record.v1
2405.03710 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 2026-08-21T06:32:19.484+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T10:09:45.093497Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T12:46:25.470248Z

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 1d085278-cd11-484b-a7e5-1285f669bff1 · inbound

TQA-Bench: Evaluating LLMs for Multi-Table Question Answering cites this paper.

TQA-Bench: Evaluating LLMs for Multi-Table Question Answering Automating the Enterprise with Foundation Models

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-12T10:09:45.093497Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T10:09:45.093497Z digest=sha256:7025e4aad94699f746119f2676d9116231b05eb883119401b355e98ef340dfe5

Observation 730f2b5e-4ef7-43de-abe9-23449f5c96c0 · inbound

A Simple and Fast Way to Handle Semantic Errors in Transactions cites this paper.

A Simple and Fast Way to Handle Semantic Errors in Transactions Automating the Enterprise with Foundation Models

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-11T14:05:42.144308Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:05:42.144308Z digest=sha256:37d946aa2dd003ba91353672a689e59cfa65ba18480fcdede16cb64cd1166647

Observation 8819ca60-3269-4bfe-b899-f6b97dcee7bc · inbound

Privacy Artifact ConnecTor (PACT): Embedding Enterprise Artifacts for Compliance AI Agents cites this paper.

Privacy Artifact ConnecTor (PACT): Embedding Enterprise Artifacts for Compliance AI Agents Automating the Enterprise with Foundation Models

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-06T14:54:45.759691Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:54:45.759691Z digest=sha256:da07a5ddd842c2060c57b1a3282fb688dbae981a60d0571b54400c103904b94f

Observation 8d836fdb-afeb-49d1-a912-c2db590237f0 · inbound

Chat2Workflow: A Benchmark for Generating Executable Visual Workflows with Natural Language cites this paper.

Chat2Workflow: A Benchmark for Generating Executable Visual Workflows with Natural Language Automating the Enterprise with Foundation Models

Reference 5

Resolution
verified exact
arxiv_id, observed 2026-05-11T12:46:25.477846Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-10T02:56:53.055513Z digest=sha256:b6bce4292d770fd8d360e79fcbe30c3d119f3373cd9bc892537b1e3c6914756a