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Paper Citation Record · LEDGER

On the Impact of Requirements Smells in Prompts: The Case of Automated Traceability

As of 13 August 2026, this Paper Citation Record lists 20 of 20 outbound references and 1 inbound Pith citation observation for arXiv:2501.04810.

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

pith.paper-citation-record.v1
2501.04810 v1

Coverage vector

measured 20 of 20 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T21:30:25.911904Z

measured 21 of 21 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T15:48:36.911940Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T15:48:38.085213Z

Reference resolution

20 of 20 outbound references displayed

  • verified exact0
  • verified fuzzy13
  • unresolved7
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 10011183-cc61-4b3f-823b-c93c5a9e11c1 · outbound

This paper cites Deep learning based program generation from requirements text: Are we there yet?.

On the Impact of Requirements Smells in Prompts: The Case of Automated Traceability Deep learning based program generation from requirements text: Are we there yet?

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:30:26.313550Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-10T21:30:25.804512Z digest=sha256:cf523ee08eeece68f48b063b8061faa308a47d4243780994635f235f5edb7f43

Observation 192a0dcc-7b93-4160-a901-f685a886b8ad · outbound

This paper cites Automatic creation of acceptance tests by extracting conditionals from requirements: NLP approach and case study,.

On the Impact of Requirements Smells in Prompts: The Case of Automated Traceability Automatic creation of acceptance tests by extracting conditionals from requirements: NLP approach and case study,

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:30:26.293275Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-10T21:30:25.810601Z digest=sha256:69ac793d2ad87a207d9c09f8cecc46216478b1ef4167c06a57405489b75244d0

Observation fbf2d79e-517c-486d-8dc9-4aebca077f93 · outbound

This paper cites Generating test scenarios from NL requirements using retrieval-augmented LLMs: An industrial study,.

On the Impact of Requirements Smells in Prompts: The Case of Automated Traceability Generating test scenarios from NL requirements using retrieval-augmented LLMs: An industrial study,

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-10T21:30:25.815748Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:30:25.815748Z digest=sha256:7ec6c10538a350c549206a99ed14af3dce0ce59b04755eb8dc641d54c04ef19b

Observation 085b83be-faa1-4470-b702-fa7241d8ccd0 · outbound

This paper cites Prompts matter: Insights and strategies for prompt engineering in automated soft- ware traceability,.

On the Impact of Requirements Smells in Prompts: The Case of Automated Traceability Prompts matter: Insights and strategies for prompt engineering in automated soft- ware traceability,

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-10T21:30:25.820730Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:30:25.820730Z digest=sha256:919bd28468ba91b29b2bd06a729cbd3d73bd200daa311c9d77aad7b5898d4b1a

Observation 77b01d96-cd66-4d89-955b-0f9c54e67f9d · outbound

This paper cites Rapid quality assurance with requirements smells,.

On the Impact of Requirements Smells in Prompts: The Case of Automated Traceability Rapid quality assurance with requirements smells,

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:30:26.249873Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-10T21:30:25.825695Z digest=sha256:75eb0c1ccfc89531cb9d80ed26c634f1c0dd54d91b742fd80ab1f2f26f163375

Observation fd914cc8-de9d-4810-961a-51592b75e875 · outbound

This paper cites Traceability transformed: Generating more accurate links with pre-trained BERT models,.

On the Impact of Requirements Smells in Prompts: The Case of Automated Traceability Traceability transformed: Generating more accurate links with pre-trained BERT models,

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:30:26.232837Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-10T21:30:25.832138Z digest=sha256:36b3fdf95a32f0cee9a8211685684d15fe7425fe132a10384c24459128f8f244

Observation 310f1ab1-97a4-4742-b4a4-d231b8aa003b · outbound

This paper cites Prompt smells: An omen for undesirable generative AI outputs,.

On the Impact of Requirements Smells in Prompts: The Case of Automated Traceability Prompt smells: An omen for undesirable generative AI outputs,

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:30:26.214087Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-10T21:30:25.838635Z digest=sha256:bb293216fdaecf52a5b7826ce88975cd6e5e7553e44a06fd90b29835e6383e82

Observation bb0c36e8-845a-4c17-93b3-93470d92582e · outbound

This paper cites Requirements quality is quality in use,.

On the Impact of Requirements Smells in Prompts: The Case of Automated Traceability Requirements quality is quality in use,

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-10T21:30:25.843759Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:30:25.843759Z digest=sha256:5c639c0b548d434499756046b26d91d39ed2072c9b7820010cca6a3b7228cb27

Observation 77b25e73-a6ed-418e-99fb-1651ac25d6d6 · outbound

This paper cites A live extensible ontology of quality factors for textual requirements,.

On the Impact of Requirements Smells in Prompts: The Case of Automated Traceability A live extensible ontology of quality factors for textual requirements,

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:30:26.181547Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-10T21:30:25.849556Z digest=sha256:083e0703a56250a070ef3537823f59cbac618edf330ccda21c343b2c0a0c2634

Observation 7c3a385f-10b6-4c8f-a170-dd29d005fe65 · outbound

This paper cites Empirical research on requirements quality: a systematic mapping study,.

On the Impact of Requirements Smells in Prompts: The Case of Automated Traceability Empirical research on requirements quality: a systematic mapping study,

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-10T21:30:25.854568Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:30:25.854568Z digest=sha256:d820c088d2667626e19737e3e8ef66380703730192b3b412c82a878c1e40b7bf

Observation f052cb8e-adc5-4b02-958b-146b330a2282 · outbound

This paper cites Nat- ural language processing for requirements traceability,.

On the Impact of Requirements Smells in Prompts: The Case of Automated Traceability Nat- ural language processing for requirements traceability,

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:30:26.138632Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-10T21:30:25.860652Z digest=sha256:c5ddf3e6284d9633e8077ee72bf5a5ddae29015a0c5a92c76bcef6e4c0d04f15

Observation 4724e27f-740e-4a55-b4bf-fb74224f35f4 · outbound

This paper cites Code gradients: Towards automated traceability of LLM-generated code,.

On the Impact of Requirements Smells in Prompts: The Case of Automated Traceability Code gradients: Towards automated traceability of LLM-generated code,

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:30:26.119839Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-10T21:30:25.866433Z digest=sha256:5ff50f6f587ea8a0e29ef25efa0fabad117f107f07dae1f78240ad8a64c0dcb8

Observation f96c4607-6585-4213-933e-9fb101f49a92 · outbound

This paper cites Towards making the most of ChatGPT for machine translation,.

On the Impact of Requirements Smells in Prompts: The Case of Automated Traceability Towards making the most of ChatGPT for machine translation,

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:30:26.098996Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-10T21:30:25.871817Z digest=sha256:4953bcaf4e9532579170038417c806bff99c21f90ff13f300499afab8363ac30

Observation 06c091fa-f251-4375-8d99-adb38f5dd9ac · outbound

This paper cites Detecting code smells using machine learning techniques: Are we there yet?.

On the Impact of Requirements Smells in Prompts: The Case of Automated Traceability Detecting code smells using machine learning techniques: Are we there yet?

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:30:26.081133Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-10T21:30:25.878330Z digest=sha256:cc42dd5e5a6c444a62a7096fef6497c3daeb0c1c748c519ab52e3fb57dc4a2a8

Observation 2155c2e8-0b0f-4901-ab08-24f0edd9aeac · outbound

This paper cites On the relation of test smells to software code quality,.

On the Impact of Requirements Smells in Prompts: The Case of Automated Traceability On the relation of test smells to software code quality,

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:30:26.059501Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-10T21:30:25.886304Z digest=sha256:3e463386cd6133f8f053355e3327892f69d4582d9a035373ec0d3300d3a2efcd

Observation b835267c-c826-4327-b2e6-6f359a6afb21 · outbound

This paper cites Model generation with LLMs: From requirements to UML sequence diagrams,.

On the Impact of Requirements Smells in Prompts: The Case of Automated Traceability Model generation with LLMs: From requirements to UML sequence diagrams,

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-10T21:30:25.891734Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:30:25.891734Z digest=sha256:08cce272e919da3ee3170906e4cd314609b246d94112488f753bea12b283ddda

Observation fcb8f037-886c-4115-b322-06f38ca77ed3 · outbound

This paper cites Large language models can be easily distracted by irrelevant context,.

On the Impact of Requirements Smells in Prompts: The Case of Automated Traceability Large language models can be easily distracted by irrelevant context,

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:30:26.026048Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-10T21:30:25.897286Z digest=sha256:126372e7be5d2d9aa8c3176eef3647202386fbd13ea0f956cf1a162e882b7613

Observation 0fee99b6-e9d1-4e41-889c-ecad7256e4cb · outbound

This paper cites Don't Stop Pretraining: Adapt Language Models to Domains and Tasks.

On the Impact of Requirements Smells in Prompts: The Case of Automated Traceability Don't Stop Pretraining: Adapt Language Models to Domains and Tasks

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-10T21:30:25.901953Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:30:25.901953Z digest=sha256:c4c677ee716e2fd26fc7467846e62549dfc7bd9767f45b51ef5ea45be9514de7

Observation 6dbfccdd-06ab-49da-9bea-4a228533aba6 · outbound

This paper cites ClarifyGPT: A framework for enhancing LLM-based code generation via requirements clarification,.

On the Impact of Requirements Smells in Prompts: The Case of Automated Traceability ClarifyGPT: A framework for enhancing LLM-based code generation via requirements clarification,

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:30:26.005307Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-10T21:30:25.907145Z digest=sha256:3b358c97a01a503e4e7049b15ac3c84f779f9c3c160d176f24922dc17360843c

Observation 05a5a0ce-43a9-4cd2-a827-6c3b2d18f392 · outbound

This paper cites From specifications to prompts: On the future of genera- tive large language models in requirements engineering,.

On the Impact of Requirements Smells in Prompts: The Case of Automated Traceability From specifications to prompts: On the future of genera- tive large language models in requirements engineering,

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-10T21:30:25.911904Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:30:25.911904Z digest=sha256:f637b1072c03fe9573fa4210ef0716baf12958897589666d0c4d157e86e1d4fe

Pith citing papers

Observation e9d45866-c448-4d02-98ea-d32a5ebf0bf8 · inbound

Think Like an Engineer: A Neuro-Symbolic Collaboration Agent for Generative Software Requirements Elicitation and Self-Review cites this paper.

Think Like an Engineer: A Neuro-Symbolic Collaboration Agent for Generative Software Requirements Elicitation and Self-Review On the Impact of Requirements Smells in Prompts: The Case of Automated Traceability

Reference 46

Resolution
verified exact
local_arxiv, observed 2026-08-06T15:48:38.192094Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-06T15:48:36.911940Z digest=sha256:24f5564d79131b522ec0d2dafa0e88de50d83c52b0931a2d03aef2a9a9ce6c67