Paper Citation Record · LEDGER

Towards Extracting Software Requirements from App Reviews using Seq2seq Framework

As of 12 August 2026, this Paper Citation Record lists 40 of 40 outbound references and 0 inbound Pith citation observations for arXiv:2507.09039.

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

pith.paper-citation-record.v1
2507.09039 v2

Coverage vector

measured 40 of 40 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T18:11:16.906537Z

measured 40 of 40 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

40 of 40 outbound references displayed

verified exact2
verified fuzzy28
unresolved10
parse uncertain0
malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation d96df657-3a0e-4fd0-a1ba-5624ab0aa7a1 · outbound

This paper cites App store effects on software engineering practices,.

Towards Extracting Software Requirements from App Reviews using Seq2seq Framework App store effects on software engineering practices,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:11:20.627996Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation f8c35e82-924f-4cbe-b1f9-e4589636619a · outbound

This paper cites How do users like this feature? a fine grained sentiment analysis of app reviews,.

Towards Extracting Software Requirements from App Reviews using Seq2seq Framework How do users like this feature? a fine grained sentiment analysis of app reviews,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:11:20.513967Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation e13b78c5-9b48-49a5-8769-50a6357a2b12 · outbound

This paper cites Toward data-driven requirements engineering,.

Towards Extracting Software Requirements from App Reviews using Seq2seq Framework Toward data-driven requirements engineering,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:11:20.402643Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 5f5d44b1-36ff-4d0b-8530-91e71fb794c9 · outbound

This paper cites App store analysis for software engineering,.

Towards Extracting Software Requirements from App Reviews using Seq2seq Framework App store analysis for software engineering,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:11:20.261184Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation b629666e-df41-43ee-b568-e1d665fed6ed · outbound

This paper cites User feedback in the appstore: An empir- ical study,.

Towards Extracting Software Requirements from App Reviews using Seq2seq Framework User feedback in the appstore: An empir- ical study,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:11:20.168049Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 57a78001-82ff-44c1-aab4-b26e6a5c9b24 · outbound

This paper cites Extracting useful software development information from mobile application reviews: A survey of intelligent mining techniques and tools,.

Towards Extracting Software Requirements from App Reviews using Seq2seq Framework Extracting useful software development information from mobile application reviews: A survey of intelligent mining techniques and tools,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:11:19.973132Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 4b4e341c-fe00-431c-8d36-e9d1bd65408e · outbound

This paper cites Bug report, feature request, or simply praise? on automatically classifying app reviews,.

Towards Extracting Software Requirements from App Reviews using Seq2seq Framework Bug report, feature request, or simply praise? on automatically classifying app reviews,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:11:19.807380Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 16a3a82b-eaab-46d9-bae6-0b907113e471 · outbound

This paper cites Re-bert: automatic extraction of software requirements from app reviews using bert language model,.

Towards Extracting Software Requirements from App Reviews using Seq2seq Framework Re-bert: automatic extraction of software requirements from app reviews using bert language model,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:11:19.662608Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation c200ac8f-5800-4e9c-a1d2-79d80baabc11 · outbound

This paper cites Safe: A simple approach for feature extraction from app descriptions and app reviews,.

Towards Extracting Software Requirements from App Reviews using Seq2seq Framework Safe: A simple approach for feature extraction from app descriptions and app reviews,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:11:19.516213Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 7b46331a-070c-415a-be60-817bb9b7da49 · outbound

This paper cites An unsupervised aspect extraction strategy for monitoring real-time reviews stream,.

Towards Extracting Software Requirements from App Reviews using Seq2seq Framework An unsupervised aspect extraction strategy for monitoring real-time reviews stream,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:11:19.419272Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 7789a292-a25f-4ae1-b0cf-d24fc5b7b373 · outbound

This paper cites T- frex: A transformer-based feature extraction method from mobile app reviews,.

Towards Extracting Software Requirements from App Reviews using Seq2seq Framework T- frex: A transformer-based feature extraction method from mobile app reviews,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:11:19.223398Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 93ff64b7-cd1a-45fa-bd22-03ab919e7cb9 · outbound

This paper cites GloVe: Global vectors for word representation,.

Towards Extracting Software Requirements from App Reviews using Seq2seq Framework GloVe: Global vectors for word representation,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:11:19.106790Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 1492eab0-6e21-43e7-8a3b-c4bec4058db2 · outbound

This paper cites Bidirectional recurrent neural net- works,.

Towards Extracting Software Requirements from App Reviews using Seq2seq Framework Bidirectional recurrent neural net- works,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:11:18.940255Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation a00bee98-2aa7-431b-9dac-152cc014f7df · outbound

This paper cites Attention is all you need,.

Towards Extracting Software Requirements from App Reviews using Seq2seq Framework Attention is all you need,

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-06T18:11:15.488769Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4a5b7a68-f1e1-427b-b69f-56c77f7acbe5 · outbound

This paper cites Long short-term memory,.

Towards Extracting Software Requirements from App Reviews using Seq2seq Framework Long short-term memory,

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-06T18:11:15.526723Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1e890056-cb8f-4790-b8af-01aae4736452 · outbound

This paper cites An introduction to conditional random fields,.

Towards Extracting Software Requirements from App Reviews using Seq2seq Framework An introduction to conditional random fields,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:11:18.831987Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 2e2d9830-fc63-42fe-a5a6-d707a7572bb9 · outbound

This paper cites Neural Architectures for Named Entity Recognition.

Towards Extracting Software Requirements from App Reviews using Seq2seq Framework Neural Architectures for Named Entity Recognition

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-06T18:11:15.549763Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ca094832-cf73-46a6-8e0c-d4504a4ad1b6 · outbound

This paper cites Neural Machine Translation by Jointly Learning to Align and Translate.

Towards Extracting Software Requirements from App Reviews using Seq2seq Framework Neural Machine Translation by Jointly Learning to Align and Translate

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-06T18:11:15.555713Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a6c6c25c-0609-4a6c-a766-503602067c47 · outbound

This paper cites Tackling structured knowledge extraction from polymer nanocomposite literature as an ner/re task with seq2seq,.

Towards Extracting Software Requirements from App Reviews using Seq2seq Framework Tackling structured knowledge extraction from polymer nanocomposite literature as an ner/re task with seq2seq,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:11:18.757163Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 4a416003-b68a-4a29-942d-4cb3f80b5c98 · outbound

This paper cites Glove: Global vectors for word representation,.

Towards Extracting Software Requirements from App Reviews using Seq2seq Framework Glove: Global vectors for word representation,

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-06T18:11:15.659830Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bf8c81d9-980f-42a5-a4a6-3659b20621bf · outbound

This paper cites Fine grained named entity recognition via seq2seq framework,.

Towards Extracting Software Requirements from App Reviews using Seq2seq Framework Fine grained named entity recognition via seq2seq framework,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:11:18.662105Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 81ce66cc-c942-4c74-9113-32e75757a301 · outbound

This paper cites Decoding domain-specific ner: A performance evaluation of chatgpt, bi-lstm, and bert,.

Towards Extracting Software Requirements from App Reviews using Seq2seq Framework Decoding domain-specific ner: A performance evaluation of chatgpt, bi-lstm, and bert,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:11:18.552513Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 35177fad-3425-49e1-99a9-2e006c4d1165 · outbound

This paper cites Advancing requirements engineering through generative ai: Assessing the role of llms,.

Towards Extracting Software Requirements from App Reviews using Seq2seq Framework Advancing requirements engineering through generative ai: Assessing the role of llms,

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-06T18:11:15.840539Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1daf88c3-4fc4-48c5-982e-cac6684ab61d · outbound

This paper cites Investigating chatgpt’s potential to assist in requirements elicitation processes,.

Towards Extracting Software Requirements from App Reviews using Seq2seq Framework Investigating chatgpt’s potential to assist in requirements elicitation processes,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:11:18.457909Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 0f7c1733-9ff3-4012-a3dc-0f6e6c37e3a2 · outbound

This paper cites Using chatgpt in software requirements engineering: A comprehensive review,.

Towards Extracting Software Requirements from App Reviews using Seq2seq Framework Using chatgpt in software requirements engineering: A comprehensive review,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:11:18.309079Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 5432706b-3d6d-43e3-9f63-97380a9cafb0 · outbound

This paper cites Comparison of pipeline, sequence-to-sequence, and GPT models for end-to-end relation extraction: experiments with the rare disease use-case.

Towards Extracting Software Requirements from App Reviews using Seq2seq Framework Comparison of pipeline, sequence-to-sequence, and GPT models for end-to-end relation extraction: experiments with the rare disease use-case

Reference 26

Resolution: verified exact; local_arxiv, observed 2026-08-06T18:11:17.129209Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 2c5bf845-3c02-44bd-a71f-7020a7258b68 · outbound

This paper cites Named entity recognition and relation extraction: State-of-the-art,.

Towards Extracting Software Requirements from App Reviews using Seq2seq Framework Named entity recognition and relation extraction: State-of-the-art,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:11:18.225974Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 23fe1558-a07c-42da-b38c-ce60d1f1e9c5 · outbound

This paper cites Towards extracting ethical concerns- related software requirements from app reviews,.

Towards Extracting Software Requirements from App Reviews using Seq2seq Framework Towards extracting ethical concerns- related software requirements from app reviews,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:11:18.140369Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 4c335fd2-65b8-411d-b3a4-7291e473675e · outbound

This paper cites Nltk: the natural language toolkit,.

Towards Extracting Software Requirements from App Reviews using Seq2seq Framework Nltk: the natural language toolkit,

Reference 29

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4b107304-c423-4057-9867-8fc4720dfdcb · outbound

This paper cites an unresolved cited work.

Towards Extracting Software Requirements from App Reviews using Seq2seq Framework Unresolved cited work

Reference 30

Resolution: unresolved; raw_fallback, observed 2026-08-06T18:11:17.987344Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 18c48b26-ab93-43ba-bbae-a91216b87ce1 · outbound

This paper cites Abstractive Text Summarization Using Sequence-to-Sequence RNNs and Beyond.

Towards Extracting Software Requirements from App Reviews using Seq2seq Framework Abstractive Text Summarization Using Sequence-to-Sequence RNNs and Beyond

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-06T18:11:16.269001Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b327f3e0-fcd2-4066-8db8-e320e0fd79a1 · outbound

This paper cites A Neural Conversational Model.

Towards Extracting Software Requirements from App Reviews using Seq2seq Framework A Neural Conversational Model

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-06T18:11:16.352511Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3e7ff9a5-8bb5-41cd-84b2-187790e90955 · outbound

This paper cites Bidirectional lstm-crf for named entity recognition.

Towards Extracting Software Requirements from App Reviews using Seq2seq Framework Bidirectional lstm-crf for named entity recognition

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:11:17.906263Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 5a89cccf-95b8-441f-9272-c94ad2140ae4 · outbound

This paper cites Mobile feature-oriented knowl- edge base generation using knowledge graphs,.

Towards Extracting Software Requirements from App Reviews using Seq2seq Framework Mobile feature-oriented knowl- edge base generation using knowledge graphs,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:11:17.795480Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 1ea82de0-ddf1-4d77-87dd-bef6bf790e35 · outbound

This paper cites Stanza: A Python natural language processing toolkit for many human languages,.

Towards Extracting Software Requirements from App Reviews using Seq2seq Framework Stanza: A Python natural language processing toolkit for many human languages,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:11:17.717193Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 422e700d-e183-4c34-8491-30b4389c6338 · outbound

This paper cites Confidence estimation for attention-based sequence-to- sequence models for speech recognition,.

Towards Extracting Software Requirements from App Reviews using Seq2seq Framework Confidence estimation for attention-based sequence-to- sequence models for speech recognition,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:11:17.583552Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 7a48f8c4-9d4a-4e18-b419-a2a155f5ae66 · outbound

This paper cites Why people hate your app: Making sense of user feedback in a mobile app store,.

Towards Extracting Software Requirements from App Reviews using Seq2seq Framework Why people hate your app: Making sense of user feedback in a mobile app store,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:11:17.505112Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation f74202d8-ce54-4312-8401-028850b17bfe · outbound

This paper cites How should i improve the ui of my app? a study of user reviews of popular apps in the google play,.

Towards Extracting Software Requirements from App Reviews using Seq2seq Framework How should i improve the ui of my app? a study of user reviews of popular apps in the google play,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:11:17.365451Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation b1edea3d-c77d-489e-999b-4259296a4cf1 · outbound

This paper cites Ethical software requirements from user reviews: A systematic literature review.

Towards Extracting Software Requirements from App Reviews using Seq2seq Framework Ethical software requirements from user reviews: A systematic literature review

Reference 39

Resolution: verified exact; local_arxiv, observed 2026-08-06T18:11:16.998584Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 8bfa784e-43be-40ab-b344-d6f2be3cf5bf · outbound

This paper cites Uncovering patterns in users’ ethical concerns about software,.

Towards Extracting Software Requirements from App Reviews using Seq2seq Framework Uncovering patterns in users’ ethical concerns about software,

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:11:17.215889Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Pith citing papers

No inbound Pith citation observations are available.