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Paper Citation Record · LEDGER

A Model Is Not Built By A Single Prompt: LLM-Based Domain Modeling With Question Decomposition

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2410.09854.

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

pith.paper-citation-record.v1
2410.09854 v1

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 2026-08-19T06:32:44.657259+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T23:43:57.937016Z

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

1
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 14aea95d-add4-4fdd-9df2-54da93d89544 · inbound

Can Large Language Models Predict Parallel Code Performance? cites this paper.

Can Large Language Models Predict Parallel Code Performance? A Model Is Not Built By A Single Prompt: LLM-Based Domain Modeling With Question Decomposition

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-15T23:43:57.937016Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T23:43:57.937016Z digest=sha256:147d4e74db16761ab9226059a95a591164b8b8fa7ce85cfff6a7d30c1de06d0e

Observation 3b83535f-30b6-4135-85db-752ba9cfb93c · inbound

Vibe Modeling: Challenges and Opportunities cites this paper.

Vibe Modeling: Challenges and Opportunities A Model Is Not Built By A Single Prompt: LLM-Based Domain Modeling With Question Decomposition

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-06T11:06:24.330699Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T11:06:24.330699Z digest=sha256:a2b93e69294bbf56640e16cb586f4c89dfe2c4b4ac178d4307daf4b9fe767fcb

Observation 4f92162d-718c-445e-9d54-60e0de90ab33 · inbound

Towards Iterative End-to-End Software Development: A Feature-Driven Multi-Agent Framework cites this paper.

Towards Iterative End-to-End Software Development: A Feature-Driven Multi-Agent Framework A Model Is Not Built By A Single Prompt: LLM-Based Domain Modeling With Question Decomposition

Reference 14

Resolution
verified exact
arxiv_id, observed 2026-05-18T01:42:17.416075Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-18T01:41:31.865412Z digest=sha256:79f38569acbe2f57ea95bca0c44255f608ca3697546281a65ef5393543ce2700

Observation 9c84c70f-1d0f-4925-9932-7e61ab4fe646 · inbound

Towards Iterative End-to-End Software Development: A Feature-Driven Multi-Agent Framework cites this paper.

Towards Iterative End-to-End Software Development: A Feature-Driven Multi-Agent Framework A Model Is Not Built By A Single Prompt: LLM-Based Domain Modeling With Question Decomposition

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-04T00:13:15.101570Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T00:13:15.101570Z digest=sha256:2f6e112b0647cf63e855a47ac576b73b6ba59a97dd2f582875246af04287aa97

Observation 0e0549cb-4cfb-441c-871f-06a66a5d667b · inbound

Reliability of Large Language Models for Design Synthesis: An Empirical Study of Variance, Prompt Sensitivity, and Method Scaffolding cites this paper.

Reliability of Large Language Models for Design Synthesis: An Empirical Study of Variance, Prompt Sensitivity, and Method Scaffolding A Model Is Not Built By A Single Prompt: LLM-Based Domain Modeling With Question Decomposition

Reference 22

Resolution
verified exact
arxiv_id, observed 2026-05-13T22:28:21.177576Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-13T22:28:01.357417Z digest=sha256:737f1cd0deac1b7fa6f4ad4012558b661ebdc7089060d5e9f9648c5affbebf9e