Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-06T16:34:09.657105Z
Paper Citation Record · LEDGER
A Conceptual Framework for Requirements Engineering of Pretrained-Model-Enabled Systems
As of 14 August 2026, this Paper Citation Record lists 16 of 16 outbound references and 0 inbound Pith citation observations for arXiv:2507.13095.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
16 of 16 outbound references displayed
- verified exact2
- verified fuzzy8
- unresolved6
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 5991bc6c-c3b7-4502-99c2-6231007f0a39 · outbound
This paper cites Large Language Models as Software Components: A Taxonomy for LLM-Integrated Applications.
A Conceptual Framework for Requirements Engineering of Pretrained-Model-Enabled Systems Large Language Models as Software Components: A Taxonomy for LLM-Integrated Applications
Reference 1
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T16:34:09.590591Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7ae0c0cc-9d09-4b9e-b770-b5dc2ac78faa · outbound
This paper cites Large Language Model Agent: A Survey on Methodology, Applications and Challenges.
A Conceptual Framework for Requirements Engineering of Pretrained-Model-Enabled Systems Large Language Model Agent: A Survey on Methodology, Applications and Challenges
Reference 2
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T16:34:09.595922Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e93dcf82-5fdf-4c12-a085-c5e0d582e7a2 · outbound
This paper cites MARE: Multi-Agents Collaboration Framework for Requirements Engineering.
A Conceptual Framework for Requirements Engineering of Pretrained-Model-Enabled Systems MARE: Multi-Agents Collaboration Framework for Requirements Engineering
Reference 3
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T16:34:09.600993Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation faf7a0f8-ec0a-4592-aca0-d19dbc09f97e · outbound
This paper cites Social simulacra: Creating populated prototypes for social computing systems,.
A Conceptual Framework for Requirements Engineering of Pretrained-Model-Enabled Systems Social simulacra: Creating populated prototypes for social computing systems,
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T16:34:10.004132Z
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.
Observation 2f3cf78e-14f8-429a-8d58-92374732a030 · outbound
This paper cites Can large language models transform computational social science?.
A Conceptual Framework for Requirements Engineering of Pretrained-Model-Enabled Systems Can large language models transform computational social science?
Reference 5
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T16:34:09.984810Z
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.
Observation 3711dea3-d7e7-4754-818c-7d8603876218 · outbound
This paper cites Self-collaboration code generation via chatgpt,.
A Conceptual Framework for Requirements Engineering of Pretrained-Model-Enabled Systems Self-collaboration code generation via chatgpt,
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T16:34:09.963971Z
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.
Observation 2f798c7f-53e3-4b27-af43-be435dcb3d75 · outbound
This paper cites Architectural tactics to achieve quality attributes of machine-learning-enabled systems: A systematic literature review,.
A Conceptual Framework for Requirements Engineering of Pretrained-Model-Enabled Systems Architectural tactics to achieve quality attributes of machine-learning-enabled systems: A systematic literature review,
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T16:34:09.934280Z
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.
Observation 69b5a0ef-14d0-4054-87cb-d1499b3b3125 · outbound
This paper cites What Did I Do Wrong? Quantifying LLMs' Sensitivity and Consistency to Prompt Engineering.
A Conceptual Framework for Requirements Engineering of Pretrained-Model-Enabled Systems What Did I Do Wrong? Quantifying LLMs' Sensitivity and Consistency to Prompt Engineering
Reference 8
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T16:34:09.624223Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c1974fb4-0467-4444-a65f-edeb9a807c7d · outbound
This paper cites Lora: Low-rank adaptation of large language models.
A Conceptual Framework for Requirements Engineering of Pretrained-Model-Enabled Systems Lora: Low-rank adaptation of large language models
Reference 9
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T16:34:09.628689Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f5f03071-a01a-4ff4-96c6-38c04a853f1d · outbound
This paper cites A comparison between three sdlc models waterfall model, spiral model, and incremental/iterative model,.
A Conceptual Framework for Requirements Engineering of Pretrained-Model-Enabled Systems A comparison between three sdlc models waterfall model, spiral model, and incremental/iterative model,
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T16:34:09.896623Z
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.
Observation b5212db2-f999-4588-a995-6f52da87d503 · outbound
This paper cites an unresolved cited work.
A Conceptual Framework for Requirements Engineering of Pretrained-Model-Enabled Systems Unresolved cited work
Reference 11
- Resolution
- unresolved
- raw_fallback, observed 2026-08-06T16:34:09.880130Z
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.
Observation b9ac38cd-dd0d-4d87-8a7e-f2b5003ac925 · outbound
This paper cites Status quo and problems of requirements engineering for machine learning: Results from an international survey,.
A Conceptual Framework for Requirements Engineering of Pretrained-Model-Enabled Systems Status quo and problems of requirements engineering for machine learning: Results from an international survey,
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T16:34:09.863839Z
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.
Observation 4b4f5d85-9c75-4d69-b2b6-d7dccb841353 · outbound
This paper cites Requirements engineering for machine learning: A review and reflection,.
A Conceptual Framework for Requirements Engineering of Pretrained-Model-Enabled Systems Requirements engineering for machine learning: A review and reflection,
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T16:34:09.845618Z
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.
Observation c99acf34-7988-4623-9977-bc6bd109a9bb · outbound
This paper cites Automatic Multi-level Feature Tree Construction for Domain-Specific Reusable Artifacts Management.
A Conceptual Framework for Requirements Engineering of Pretrained-Model-Enabled Systems Automatic Multi-level Feature Tree Construction for Domain-Specific Reusable Artifacts Management
Reference 14
- Resolution
- verified exact
- local_arxiv, observed 2026-08-06T16:34:09.728785Z
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.
Observation 5a901aca-aa5b-4d57-8a2c-8234b9666cfe · outbound
This paper cites Causal Models in Requirement Specifications for Machine Learning: A vision.
A Conceptual Framework for Requirements Engineering of Pretrained-Model-Enabled Systems Causal Models in Requirement Specifications for Machine Learning: A vision
Reference 15
- Resolution
- verified exact
- local_arxiv, observed 2026-08-06T16:34:09.704054Z
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.
Observation a760c8d0-5688-4950-b5e9-a1f8b4ce46b5 · outbound
This paper cites A first look at package- to-group mechanism: An empirical study of the linux distributions,.
A Conceptual Framework for Requirements Engineering of Pretrained-Model-Enabled Systems A first look at package- to-group mechanism: An empirical study of the linux distributions,
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T16:34:09.826932Z
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.
Pith citing papers
No inbound Pith citation observations are available.