Pith. sign in

Paper Citation Record · LEDGER

Low-code LLM: Graphical User Interface over Large Language Models

As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2304.08103.

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

pith.paper-citation-record.v1
2304.08103 v3

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 2026-08-14T06:32:32.682623+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T19:32:01.880381Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

23
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 8623c3d6-c8fd-4842-9d98-45af90b8a1d0 · inbound

AutoIoT: Automated IoT Platform Using Large Language Models cites this paper.

AutoIoT: Automated IoT Platform Using Large Language Models Low-code LLM: Graphical User Interface over Large Language Models

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-12T19:32:01.880381Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T19:32:01.880381Z digest=sha256:a3e7c4755231247903c0dbabda9f9fc5c271bd88c82e64374f2841238bdb645a

Observation 690976aa-bb2c-410b-977a-a373ea9abe85 · inbound

VIDEE: Visual and Interactive Decomposition, Execution, and Evaluation of Text Analytics with Intelligent Agents cites this paper.

VIDEE: Visual and Interactive Decomposition, Execution, and Evaluation of Text Analytics with Intelligent Agents Low-code LLM: Graphical User Interface over Large Language Models

Reference 4

Resolution
verified exact
arxiv_id, observed 2026-05-19T09:37:13.792737Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-19T09:36:50.323723Z digest=sha256:4c23b81860eea023d85a366ca0cdf918b860a4d16265ca25e09b58b9c5265547

Observation 63ab8540-6c8d-4f6c-b83a-87ff4563baa3 · inbound

AIAP: A No-Code Workflow Builder for Non-Experts with Natural Language and Multi-Agent Collaboration cites this paper.

AIAP: A No-Code Workflow Builder for Non-Experts with Natural Language and Multi-Agent Collaboration Low-code LLM: Graphical User Interface over Large Language Models

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-06T05:00:30.943573Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T05:00:30.943573Z digest=sha256:dd864be34adc356b57b8a792659cff19c0c9c578a634a3989990965f7a527de7

Observation a1cd12e6-0988-44b0-a986-16555ee124e7 · inbound

OOPrompt: Reifying Intents into Structured Artifacts for Modular and Iterative Prompting cites this paper.

OOPrompt: Reifying Intents into Structured Artifacts for Modular and Iterative Prompting Low-code LLM: Graphical User Interface over Large Language Models

Reference 6

Resolution
verified exact
arxiv_id, observed 2026-05-11T13:01:05.188354Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-10T02:29:16.582341Z digest=sha256:6f5ac104deb340264bbc596ec63e6660c2e97b276e6bb8ff2578936335de305c