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Paper Citation Record · LEDGER

CMER: A Context-Aware Approach for Mining Ethical Concern-related App Reviews

As of 8 August 2026, this Paper Citation Record lists 55 of 55 outbound references and 0 inbound Pith citation observations for arXiv:2507.09049.

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

pith.paper-citation-record.v1
2507.09049 v2

Coverage vector

measured 55 of 55 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T18:15:48.555454Z

measured 55 of 55 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+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

55 of 55 outbound references displayed

  • verified exact0
  • verified fuzzy13
  • unresolved42
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 38d9c38b-3781-41ff-b00a-e20a168b273b · outbound

This paper cites Unsupervised summarization of privacy concerns in mobile application reviews,.

CMER: A Context-Aware Approach for Mining Ethical Concern-related App Reviews Unsupervised summarization of privacy concerns in mobile application reviews,

Reference 1

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Observation 4c374067-2ef1-4d60-9cb9-7220f666cb4b · outbound

This paper cites Development of a consumer financial goals ontology for use with fintech applications for improving financial capability,.

CMER: A Context-Aware Approach for Mining Ethical Concern-related App Reviews Development of a consumer financial goals ontology for use with fintech applications for improving financial capability,

Reference 2

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 528909d1-5de1-4f21-a5ac-051a64dcbd92 · outbound

This paper cites An empirical assessment of security risks of global android banking apps,.

CMER: A Context-Aware Approach for Mining Ethical Concern-related App Reviews An empirical assessment of security risks of global android banking apps,

Reference 3

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raw_fallback, observed 2026-08-06T18:15:48.962010Z

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 14c91e32-6576-4949-a444-1a5637eff68b · outbound

This paper cites Interpretable app review classification with transformers,.

CMER: A Context-Aware Approach for Mining Ethical Concern-related App Reviews Interpretable app review classification with transformers,

Reference 4

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raw_fallback, observed 2026-08-06T18:15:48.951840Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 56356f31-ff72-40cc-a81b-563c116e85c1 · outbound

This paper cites Investigating user perceptions of mobile app privacy: An analysis of user-submitted app reviews,.

CMER: A Context-Aware Approach for Mining Ethical Concern-related App Reviews Investigating user perceptions of mobile app privacy: An analysis of user-submitted app reviews,

Reference 5

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T18:15:45.591318Z digest=sha256:de2bc2404963721f96d3f119442031e45e18eec2fcd9ea2491ee5d6e84758eab

Observation d8f0ad2f-bc41-46dd-acef-f0ade14caaa6 · outbound

This paper cites Analyzing user perspectives on mobile app privacy at scale,.

CMER: A Context-Aware Approach for Mining Ethical Concern-related App Reviews Analyzing user perspectives on mobile app privacy at scale,

Reference 6

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Observation 7a3b6f1d-f50a-4f70-a26f-f4a5c1f50e1c · outbound

This paper cites Fairness concerns in app reviews: A study on ai-based mobile apps,.

CMER: A Context-Aware Approach for Mining Ethical Concern-related App Reviews Fairness concerns in app reviews: A study on ai-based mobile apps,

Reference 7

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 148e4245-789e-4229-b1d0-dab71e1d2d3c · outbound

This paper cites Accessibility feedback in mobile application reviews: A dataset of reviews and accessibility guidelines,.

CMER: A Context-Aware Approach for Mining Ethical Concern-related App Reviews Accessibility feedback in mobile application reviews: A dataset of reviews and accessibility guidelines,

Reference 8

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation b4f51857-1b80-474f-9edd-8098dbdb791e · outbound

This paper cites Hark: A deep learning system for navigating privacy feedback at scale,.

CMER: A Context-Aware Approach for Mining Ethical Concern-related App Reviews Hark: A deep learning system for navigating privacy feedback at scale,

Reference 9

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source=pdf_text observed=2026-08-06T18:15:46.135817Z digest=sha256:9344d843346c907e5bc80dfbb5cca4786c167ae3f54ddac5e62a5a58dedf06d7

Observation 731a2a72-7cd6-4ac4-b7b4-787aacf62eeb · outbound

This paper cites Lessons from the use of natural language inference (nli) in requirements engineering tasks,.

CMER: A Context-Aware Approach for Mining Ethical Concern-related App Reviews Lessons from the use of natural language inference (nli) in requirements engineering tasks,

Reference 10

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Observation 3c6d2f3f-761d-4f60-99a9-1c06c135d136 · outbound

This paper cites An extended model of natural logic,.

CMER: A Context-Aware Approach for Mining Ethical Concern-related App Reviews An extended model of natural logic,

Reference 11

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Observation c6ab53db-75ea-48d4-93bb-3d0f1e621c26 · outbound

This paper cites Transformers: State-of-the-art natural language process- ing,.

CMER: A Context-Aware Approach for Mining Ethical Concern-related App Reviews Transformers: State-of-the-art natural language process- ing,

Reference 12

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Observation 21eeba18-480a-4813-87d6-26d562cdeb1a · outbound

This paper cites A broad-coverage challenge corpus for sentence un- derstanding through inference,.

CMER: A Context-Aware Approach for Mining Ethical Concern-related App Reviews A broad-coverage challenge corpus for sentence un- derstanding through inference,

Reference 13

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Observation 344713f2-ace5-4f6f-ba06-166bce37d8df · outbound

This paper cites Adversarial NLI: A new benchmark for natural language understanding,.

CMER: A Context-Aware Approach for Mining Ethical Concern-related App Reviews Adversarial NLI: A new benchmark for natural language understanding,

Reference 14

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Observation 553d9775-b2dd-43a1-ab7c-9e8909e36ff9 · outbound

This paper cites A large annotated corpus for learning natural language inference,.

CMER: A Context-Aware Approach for Mining Ethical Concern-related App Reviews A large annotated corpus for learning natural language inference,

Reference 15

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T18:15:46.873159Z digest=sha256:f14222c26e3b257276a1a0048275e6b332194bdb3062457f74c0fff72df598ac

Observation 889c3a6d-fa69-4764-ab8e-341a57cc5d57 · outbound

This paper cites SQuAD: 100,000+ questions for machine compre- hension of text,.

CMER: A Context-Aware Approach for Mining Ethical Concern-related App Reviews SQuAD: 100,000+ questions for machine compre- hension of text,

Reference 16

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 42099cbc-aeb6-4854-8140-3f635eb006d8 · outbound

This paper cites The fever2. 0 shared task,.

CMER: A Context-Aware Approach for Mining Ethical Concern-related App Reviews The fever2. 0 shared task,

Reference 17

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Observation 018a82d2-23b8-4920-a1d3-306555afde33 · outbound

This paper cites RoBERTa: A Robustly Optimized BERT Pretraining Approach.

CMER: A Context-Aware Approach for Mining Ethical Concern-related App Reviews RoBERTa: A Robustly Optimized BERT Pretraining Approach

Reference 18

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Observation 98160114-d3bf-4d74-ad5a-d3c59a27354b · outbound

This paper cites Sentence-bert: Sentence embeddings using siamese bert-networks,.

CMER: A Context-Aware Approach for Mining Ethical Concern-related App Reviews Sentence-bert: Sentence embeddings using siamese bert-networks,

Reference 19

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 88cf1732-2096-450e-8cf0-b54119633f67 · outbound

This paper cites Deberta: Decoding-enhanced bert with disentangled attention,.

CMER: A Context-Aware Approach for Mining Ethical Concern-related App Reviews Deberta: Decoding-enhanced bert with disentangled attention,

Reference 20

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Observation 908cd605-99da-4021-91d5-ac8f24c676e3 · outbound

This paper cites Exploring the limits of transfer learning with a unified text-to-text transformer,.

CMER: A Context-Aware Approach for Mining Ethical Concern-related App Reviews Exploring the limits of transfer learning with a unified text-to-text transformer,

Reference 21

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Observation 345905ca-fbe2-4e48-886c-a5b804ba2c58 · outbound

This paper cites A taxonomy of privacy,.

CMER: A Context-Aware Approach for Mining Ethical Concern-related App Reviews A taxonomy of privacy,

Reference 22

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Observation a4b7e64a-df55-4b14-8b3d-be3e1b50b0fc · outbound

This paper cites Privacy-enhancing technologies,.

CMER: A Context-Aware Approach for Mining Ethical Concern-related App Reviews Privacy-enhancing technologies,

Reference 23

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Observation 332f8212-1a0b-4f77-8fbb-92fa3596bd6b · outbound

This paper cites A review of current trends, techniques, and challenges in large language models (llms),.

CMER: A Context-Aware Approach for Mining Ethical Concern-related App Reviews A review of current trends, techniques, and challenges in large language models (llms),

Reference 24

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Observation 7711b97a-8857-4e5a-b8cf-c8de5c7b01ca · outbound

This paper cites The Llama 3 Herd of Models.

CMER: A Context-Aware Approach for Mining Ethical Concern-related App Reviews The Llama 3 Herd of Models

Reference 25

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Observation 9ba43458-b589-44b7-83a0-1467208d30f4 · outbound

This paper cites A Comprehensive Capability Analysis of GPT-3 and GPT-3.5 Series Models.

CMER: A Context-Aware Approach for Mining Ethical Concern-related App Reviews A Comprehensive Capability Analysis of GPT-3 and GPT-3.5 Series Models

Reference 26

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Observation ec9b44ae-0610-4d43-8e35-ac8e2f287c93 · outbound

This paper cites An empirical study of the non-determinism of chatgpt in code generation,.

CMER: A Context-Aware Approach for Mining Ethical Concern-related App Reviews An empirical study of the non-determinism of chatgpt in code generation,

Reference 27

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Observation 185e31dc-fbca-49b0-8d58-36fa5b839d74 · outbound

This paper cites Gpt-4o mini: Advancing cost-efficient intelli- gence,.

CMER: A Context-Aware Approach for Mining Ethical Concern-related App Reviews Gpt-4o mini: Advancing cost-efficient intelli- gence,

Reference 28

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Observation 25deadd4-cebd-4b72-8b04-92655dac49f9 · outbound

This paper cites Training language models to follow instructions with human feedback,.

CMER: A Context-Aware Approach for Mining Ethical Concern-related App Reviews Training language models to follow instructions with human feedback,

Reference 29

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation b66a7c24-dbe3-4ca7-8622-a64c1907acd3 · outbound

This paper cites Unleashing the potential of prompt engineering for large language models,.

CMER: A Context-Aware Approach for Mining Ethical Concern-related App Reviews Unleashing the potential of prompt engineering for large language models,

Reference 30

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Observation e34ba5f6-cfc3-4516-b109-a43d67936f6e · outbound

This paper cites LLaMA: Open and Efficient Foundation Language Models.

CMER: A Context-Aware Approach for Mining Ethical Concern-related App Reviews LLaMA: Open and Efficient Foundation Language Models

Reference 31

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Observation fee4855d-37f9-4455-babc-e6571f2b106c · outbound

This paper cites Revisiting sentiment analysis for software engineering in the era of large language models,.

CMER: A Context-Aware Approach for Mining Ethical Concern-related App Reviews Revisiting sentiment analysis for software engineering in the era of large language models,

Reference 32

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Observation 9246527a-3416-4cd6-ad8b-3e6d10665178 · outbound

This paper cites Short text, large effect: Measuring the impact of user reviews on android app security & privacy,.

CMER: A Context-Aware Approach for Mining Ethical Concern-related App Reviews Short text, large effect: Measuring the impact of user reviews on android app security & privacy,

Reference 33

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Observation 713bce7a-ebb9-4280-8286-63a1e88643cf · outbound

This paper cites Weighted kappa: Nominal scale agreement provision for scaled disagreement or partial credit.

CMER: A Context-Aware Approach for Mining Ethical Concern-related App Reviews Weighted kappa: Nominal scale agreement provision for scaled disagreement or partial credit

Reference 34

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Observation 9e4dcc41-4cb8-46e1-95c7-3fed6d63d67a · outbound

This paper cites Understanding interobserver agreement: the kappa statistic,.

CMER: A Context-Aware Approach for Mining Ethical Concern-related App Reviews Understanding interobserver agreement: the kappa statistic,

Reference 35

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Observation faf1ed0d-f3bd-4aff-9070-2f6c8fa8af1a · outbound

This paper cites Open llms are necessary for current private adaptations and outperform their closed alternatives,.

CMER: A Context-Aware Approach for Mining Ethical Concern-related App Reviews Open llms are necessary for current private adaptations and outperform their closed alternatives,

Reference 36

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Observation 13d6ab88-6683-4e3a-9d6b-d38be2e5964f · outbound

This paper cites An Empirical Study on User Reviews Targeting Mobile Apps' Security & Privacy.

CMER: A Context-Aware Approach for Mining Ethical Concern-related App Reviews An Empirical Study on User Reviews Targeting Mobile Apps' Security & Privacy

Reference 37

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source=pdf_text observed=2026-08-06T18:15:48.496833Z digest=sha256:9d6d25a2ba219cba71c85d31fbb8804dd98801ca65e0f34e97b51b7fa3dd6fd6

Observation 7d7f6efe-6c9b-4ab1-9246-17e8f94e6a10 · outbound

This paper cites Exploring the capability of chatgpt to reproduce human labels for social computing tasks,.

CMER: A Context-Aware Approach for Mining Ethical Concern-related App Reviews Exploring the capability of chatgpt to reproduce human labels for social computing tasks,

Reference 38

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source=pdf_text observed=2026-08-06T18:15:48.508125Z digest=sha256:960d41fc698762ee89b9c683cd350ef4289b8de54f0effd0ffb24a7ba2ac4dc9

Observation 9734e102-9fff-485e-89d7-e273700fdfce · outbound

This paper cites Want to reduce labeling cost? GPT-3 can help,.

CMER: A Context-Aware Approach for Mining Ethical Concern-related App Reviews Want to reduce labeling cost? GPT-3 can help,

Reference 39

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source=pdf_text observed=2026-08-06T18:15:48.511149Z digest=sha256:c61b024db4e25de3c7a22712e843ad6d031fb05f9ace035272f3e6f655d56600

Observation ac25cc18-67dc-4f21-b01b-1cfb764706d8 · outbound

This paper cites The parrot dilemma: Human-labeled vs. LLM- augmented data in classification tasks,.

CMER: A Context-Aware Approach for Mining Ethical Concern-related App Reviews The parrot dilemma: Human-labeled vs. LLM- augmented data in classification tasks,

Reference 40

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source=pdf_text observed=2026-08-06T18:15:48.516523Z digest=sha256:0563a75bb9b1ac391815ba31687807c332174f2cf694f1b4826bd353f10fc095

Observation a7b61bab-16fb-4a83-8477-04ce7beffdcf · outbound

This paper cites Narratives: the unforeseen influencer of privacy concerns,.

CMER: A Context-Aware Approach for Mining Ethical Concern-related App Reviews Narratives: the unforeseen influencer of privacy concerns,

Reference 41

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raw_fallback, observed 2026-08-06T18:15:48.714946Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T18:15:48.518943Z digest=sha256:c0b814477f846f3277890c61f9a844bec603723c24d1a1a58edf0fd6f02f15f8

Observation ba9d4b85-1e6a-4a1f-b288-e15ab48d5edb · outbound

This paper cites Evaluating semantic accuracy of data-to-text generation with natural language inference,.

CMER: A Context-Aware Approach for Mining Ethical Concern-related App Reviews Evaluating semantic accuracy of data-to-text generation with natural language inference,

Reference 42

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source=pdf_text observed=2026-08-06T18:15:48.521421Z digest=sha256:11e90b7a0c73c97eea2eb271578fdb62f74ae9108e6bc4f3e4bd5cacad2d8c39

Observation bfd61446-9976-4605-82b4-2d7f3eed4064 · outbound

This paper cites Finding the needle in a haystack: On the automatic identification of accessibility user reviews,.

CMER: A Context-Aware Approach for Mining Ethical Concern-related App Reviews Finding the needle in a haystack: On the automatic identification of accessibility user reviews,

Reference 43

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source=pdf_text observed=2026-08-06T18:15:48.523772Z digest=sha256:a7999ed1bfb69032d86f436395e2d80cc79b794eea26a08aae24f042ae4f9904

Observation 80345664-5c2b-4630-bc3a-d5424ee9af0c · outbound

This paper cites GPT-4 Technical Report.

CMER: A Context-Aware Approach for Mining Ethical Concern-related App Reviews GPT-4 Technical Report

Reference 44

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source=pdf_text observed=2026-08-06T18:15:48.526390Z digest=sha256:5eca06090c65db927737251ed145b35de37374f5a0763fd247f8e2786da9d8ca

Observation 9665a9a7-50fd-46db-ae82-6caf7a574bf2 · outbound

This paper cites Scaling Laws for Neural Language Models.

CMER: A Context-Aware Approach for Mining Ethical Concern-related App Reviews Scaling Laws for Neural Language Models

Reference 45

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source=pdf_text observed=2026-08-06T18:15:48.529516Z digest=sha256:e5854afa7a295e00d7748e601f00d29bd6953c858109636a66ea37b969abfcb1

Observation c55b0b2b-06e2-48fb-8f4d-5b053275ae24 · outbound

This paper cites Deep reinforcement learning from human pref- erences,.

CMER: A Context-Aware Approach for Mining Ethical Concern-related App Reviews Deep reinforcement learning from human pref- erences,

Reference 46

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T18:15:48.532453Z digest=sha256:f1e8a06e344bef70de529f0fbeb0b866097efc3f9777942bc13e939b7e9e5d85

Observation 3028a4ca-7443-4a22-816a-45350eb80928 · outbound

This paper cites Large language models for software engineering: A systematic literature review,.

CMER: A Context-Aware Approach for Mining Ethical Concern-related App Reviews Large language models for software engineering: A systematic literature review,

Reference 47

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source=pdf_text observed=2026-08-06T18:15:48.535148Z digest=sha256:96c3ab965266a176e0787b5b6350cc79cd457dc16b57edb780646df12f00414c

Observation efd824ba-ac4a-41cb-abee-74f967dd71e7 · outbound

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

CMER: A Context-Aware Approach for Mining Ethical Concern-related App Reviews Advancing requirements engineering through generative ai: Assessing the role of llms,

Reference 48

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source=pdf_text observed=2026-08-06T18:15:48.537893Z digest=sha256:30b334cbf3bae1192f60f63c71c2e7638c3985aec5afeb2932f29d66dddf8db7

Observation 5995afd1-44a4-4cf7-8455-23ea7cb8459a · outbound

This paper cites Exploring the efficacy of chatgpt in generating requirements: An experimental study,.

CMER: A Context-Aware Approach for Mining Ethical Concern-related App Reviews Exploring the efficacy of chatgpt in generating requirements: An experimental study,

Reference 49

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source=pdf_text observed=2026-08-06T18:15:48.540687Z digest=sha256:4dcd2014f6bceb288f0be4bbfb7031659ee617b05e447ec4b70250e86392cb29

Observation 4d8ac38b-35ab-4561-a42f-766498a9bc9a · outbound

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

CMER: A Context-Aware Approach for Mining Ethical Concern-related App Reviews Investigating chatgpt’s potential to assist in requirements elicitation processes,

Reference 50

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source=pdf_text observed=2026-08-06T18:15:48.543655Z digest=sha256:ddd7b298ad1e0192e32fd01661868f13dc1b5ce2bcfef4c4749c621f267efe01

Observation 2e1a96cb-d341-48b7-938e-5be439adeedc · outbound

This paper cites Chatgpt prompt patterns for improving code quality, refactoring, requirements elicitation, and software design,.

CMER: A Context-Aware Approach for Mining Ethical Concern-related App Reviews Chatgpt prompt patterns for improving code quality, refactoring, requirements elicitation, and software design,

Reference 51

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source=pdf_text observed=2026-08-06T18:15:48.546497Z digest=sha256:2fb57451622c4c70acb23fcac5486966fbb549ebf4d01d428c25ab1dbcc48a5d

Observation a67199ae-1fd7-48ab-bcf8-ccde013b949e · outbound

This paper cites Autonomous agents in software development: A vi- sion paper,.

CMER: A Context-Aware Approach for Mining Ethical Concern-related App Reviews Autonomous agents in software development: A vi- sion paper,

Reference 52

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source=pdf_text observed=2026-08-06T18:15:48.549894Z digest=sha256:2268a8cdeb946bb1c3f47f5b5b285c52d6f141bca09cca259f34c45fc5cce11f

Observation aa306107-5509-49b3-b2fd-d094a937f842 · outbound

This paper cites ChatGPT: A Study on its Utility for Ubiquitous Software Engineering Tasks.

CMER: A Context-Aware Approach for Mining Ethical Concern-related App Reviews ChatGPT: A Study on its Utility for Ubiquitous Software Engineering Tasks

Reference 53

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source=pdf_text observed=2026-08-06T18:15:48.552570Z digest=sha256:5fced294f6a0f8b22e7bbe5ba9efb9768cc19b51db0f8ad6e8bd45778b8d2d99

Observation bc381323-5a38-47a0-acf7-f8be19e36b27 · outbound

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

CMER: A Context-Aware Approach for Mining Ethical Concern-related App Reviews Using chatgpt in software requirements engineering: A comprehensive review,

Reference 54

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source=pdf_text observed=2026-08-06T18:15:48.555454Z digest=sha256:037ead107a37611fe25df6549b4997e8aa738a9fe6423862c6be211ee576260e

Observation 3e871ba5-41c4-4f05-9ca4-2acf7bf5ad9f · outbound

This paper cites 2021, pp.

CMER: A Context-Aware Approach for Mining Ethical Concern-related App Reviews 2021, pp

Reference 2021

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source=pdf_text observed=2026-08-06T18:15:48.513985Z digest=sha256:63137d57b7cf7a97b0af4e633a6b5be5fba7b365705e08bcac2dd1cd1eb1a936

Pith citing papers

No inbound Pith citation observations are available.