Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-06T18:12:58.264902Z
Paper Citation Record · LEDGER
SAGE: A Context-Aware Approach for Mining Privacy Requirements Relevant Reviews from Mental Health Apps
As of 10 August 2026, this Paper Citation Record lists 66 of 66 outbound references and 0 inbound Pith citation observations for arXiv:2507.09051.
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 2026-08-10T06:31:04.303077+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
66 of 66 outbound references displayed
- verified exact0
- verified fuzzy51
- unresolved15
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 61d17db8-3549-442b-a362-d4bc07d3604c · outbound
This paper cites The state of mental health in america 2024,.
SAGE: A Context-Aware Approach for Mining Privacy Requirements Relevant Reviews from Mental Health Apps The state of mental health in america 2024,
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:13:01.421270Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 040626cb-190d-4dc6-9b20-8f58612ba768 · outbound
This paper cites Smartphones in mental health: a critical review of background issues, current status and future concerns,.
SAGE: A Context-Aware Approach for Mining Privacy Requirements Relevant Reviews from Mental Health Apps Smartphones in mental health: a critical review of background issues, current status and future concerns,
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:13:01.373232Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 10fa2fb6-54a3-4083-86c0-6c7fd984a9b8 · outbound
This paper cites ” money doesn’t buy you happiness.
SAGE: A Context-Aware Approach for Mining Privacy Requirements Relevant Reviews from Mental Health Apps ” money doesn’t buy you happiness
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:13:01.323763Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation ce990e7f-391f-4e9d-818d-c6ec7b6a8ac1 · outbound
This paper cites Dichotomies in the development and implementation of digital mental health tools,.
SAGE: A Context-Aware Approach for Mining Privacy Requirements Relevant Reviews from Mental Health Apps Dichotomies in the development and implementation of digital mental health tools,
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:13:01.281744Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 1c343099-b05f-463d-9091-e13cd47f9943 · outbound
This paper cites Current regulation of mobile mental health applications,.
SAGE: A Context-Aware Approach for Mining Privacy Requirements Relevant Reviews from Mental Health Apps Current regulation of mobile mental health applications,
Reference 5
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:13:01.220712Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation e750bd48-6e84-4cbf-835b-0e886ad12b73 · outbound
This paper cites Needed innovation in digital health and smartphone applications for mental health: transparency and trust,.
SAGE: A Context-Aware Approach for Mining Privacy Requirements Relevant Reviews from Mental Health Apps Needed innovation in digital health and smartphone applications for mental health: transparency and trust,
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:13:01.166328Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 32e10eb3-9f1b-4e34-b559-521fa89ed01e · outbound
This paper cites What do mobile app users complain about?.
SAGE: A Context-Aware Approach for Mining Privacy Requirements Relevant Reviews from Mental Health Apps What do mobile app users complain about?
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:13:01.114110Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 14b8640a-f7f2-4032-a982-f90f53627d67 · outbound
This paper cites Government mobile apps: Analysing citizen feedback via app reviews,.
SAGE: A Context-Aware Approach for Mining Privacy Requirements Relevant Reviews from Mental Health Apps Government mobile apps: Analysing citizen feedback via app reviews,
Reference 8
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:13:01.058721Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 9a41cd93-a309-47f8-b67d-c53e3f206995 · outbound
This paper cites Mobile app privacy in software engineering research: A systematic mapping study,.
SAGE: A Context-Aware Approach for Mining Privacy Requirements Relevant Reviews from Mental Health Apps Mobile app privacy in software engineering research: A systematic mapping study,
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:13:00.989774Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 09385b05-cddc-46c5-aec2-14baeadac664 · outbound
This paper cites Mining and searching app reviews for requirements engineering: Evaluation and replication studies,.
SAGE: A Context-Aware Approach for Mining Privacy Requirements Relevant Reviews from Mental Health Apps Mining and searching app reviews for requirements engineering: Evaluation and replication studies,
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:13:00.934511Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 16de2445-3788-4969-b891-c2def4c4aeac · outbound
This paper cites Analysing app reviews for software engineering: a systematic literature review,.
SAGE: A Context-Aware Approach for Mining Privacy Requirements Relevant Reviews from Mental Health Apps Analysing app reviews for software engineering: a systematic literature review,
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:13:00.884768Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 77291df7-a4db-49d0-b0a4-4862f53519b3 · outbound
This paper cites Towards extracting ethical concerns- related software requirements from app reviews,.
SAGE: A Context-Aware Approach for Mining Privacy Requirements Relevant Reviews from Mental Health Apps Towards extracting ethical concerns- related software requirements from app reviews,
Reference 12
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T18:12:57.277335Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b7c49e96-aa34-46b4-a82d-38584574994d · outbound
This paper cites Analyzing and automatically labelling the types of user issues that are raised in mobile app reviews,.
SAGE: A Context-Aware Approach for Mining Privacy Requirements Relevant Reviews from Mental Health Apps Analyzing and automatically labelling the types of user issues that are raised in mobile app reviews,
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:13:00.821985Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation da89d5e2-6d87-45e2-aae9-cc526327b0cd · outbound
This paper cites Investigating user per- ceptions of mobile app privacy: An analysis of user-submitted app reviews,.
SAGE: A Context-Aware Approach for Mining Privacy Requirements Relevant Reviews from Mental Health Apps Investigating user per- ceptions of mobile app privacy: An analysis of user-submitted app reviews,
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:13:00.764454Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 610e6bad-7905-4346-b63b-27f6bd2dcec5 · outbound
This paper cites Analyzing user perspectives on mobile app privacy at scale,.
SAGE: A Context-Aware Approach for Mining Privacy Requirements Relevant Reviews from Mental Health Apps Analyzing user perspectives on mobile app privacy at scale,
Reference 15
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:13:00.722591Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 83394a2b-d32c-4d4e-ad74-5f886260ecae · outbound
This paper cites Hark: A deep learning system for navigating privacy feedback at scale,.
SAGE: A Context-Aware Approach for Mining Privacy Requirements Relevant Reviews from Mental Health Apps Hark: A deep learning system for navigating privacy feedback at scale,
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:13:00.671249Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation bf1811ad-778d-4540-9091-5d3b305750f7 · outbound
This paper cites Unsupervised summarization of privacy concerns in mobile application reviews,.
SAGE: A Context-Aware Approach for Mining Privacy Requirements Relevant Reviews from Mental Health Apps Unsupervised summarization of privacy concerns in mobile application reviews,
Reference 17
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:13:00.626757Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 33462d8c-cb56-4978-80b1-ca275a8dd065 · outbound
This paper cites Short text, large effect: Measuring the impact of user reviews on android app security & privacy,.
SAGE: A Context-Aware Approach for Mining Privacy Requirements Relevant Reviews from Mental Health Apps Short text, large effect: Measuring the impact of user reviews on android app security & privacy,
Reference 18
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:13:00.578412Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 479d9319-0711-40c4-a31b-e95b253ec396 · outbound
This paper cites An Empirical Study on User Reviews Targeting Mobile Apps' Security & Privacy.
SAGE: A Context-Aware Approach for Mining Privacy Requirements Relevant Reviews from Mental Health Apps An Empirical Study on User Reviews Targeting Mobile Apps' Security & Privacy
Reference 19
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T18:12:57.343402Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7d750c01-5a1b-4ba8-b941-713dc366e158 · outbound
This paper cites Privacy analysis of period tracking mobile apps in the post-roe v. wade era,.
SAGE: A Context-Aware Approach for Mining Privacy Requirements Relevant Reviews from Mental Health Apps Privacy analysis of period tracking mobile apps in the post-roe v. wade era,
Reference 20
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:13:00.533410Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation ed84cccf-31bd-4a37-a90a-75e6cdeaf07e · outbound
This paper cites Lessons from the use of natural language inference (nli) in requirements engineering tasks,.
SAGE: A Context-Aware Approach for Mining Privacy Requirements Relevant Reviews from Mental Health Apps Lessons from the use of natural language inference (nli) in requirements engineering tasks,
Reference 21
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:13:00.472596Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 38f088b9-35b2-467d-8fd8-5bc5d19f5830 · outbound
This paper cites Transforming Question Answering Datasets Into Natural Language Inference Datasets.
SAGE: A Context-Aware Approach for Mining Privacy Requirements Relevant Reviews from Mental Health Apps Transforming Question Answering Datasets Into Natural Language Inference Datasets
Reference 22
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T18:12:57.377234Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5e6be4d0-bc72-4552-a3d4-81d8bd856d30 · outbound
This paper cites Semantic diversity in dialogue with natural language inference,.
SAGE: A Context-Aware Approach for Mining Privacy Requirements Relevant Reviews from Mental Health Apps Semantic diversity in dialogue with natural language inference,
Reference 23
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:13:00.415440Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 20a71d85-8968-4ef2-bdd4-5ec853a4d75a · outbound
This paper cites Large language models for text classification: From zero-shot learning to fine-tuning,.
SAGE: A Context-Aware Approach for Mining Privacy Requirements Relevant Reviews from Mental Health Apps Large language models for text classification: From zero-shot learning to fine-tuning,
Reference 24
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:13:00.373838Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation f0b21bd7-c0e5-4584-ad5f-9eda54fd9746 · outbound
This paper cites An extended model of natural logic,.
SAGE: A Context-Aware Approach for Mining Privacy Requirements Relevant Reviews from Mental Health Apps An extended model of natural logic,
Reference 25
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:13:00.318899Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation e453419b-4e06-4675-b0ed-38b7cf8eee28 · outbound
This paper cites On the privacy of mental health apps: An empirical investigation and its implications for app development,.
SAGE: A Context-Aware Approach for Mining Privacy Requirements Relevant Reviews from Mental Health Apps On the privacy of mental health apps: An empirical investigation and its implications for app development,
Reference 26
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:13:00.250727Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation fdf0c4e5-fa65-4bbb-9d0c-b3a32bbcff2a · outbound
This paper cites Bert: Pre-training of deep bidirectional transformers for language understanding,.
SAGE: A Context-Aware Approach for Mining Privacy Requirements Relevant Reviews from Mental Health Apps Bert: Pre-training of deep bidirectional transformers for language understanding,
Reference 27
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T18:12:57.426949Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d92cb41b-473d-44bb-b1ea-e9e1dc9ec7b5 · outbound
This paper cites RoBERTa: A Robustly Optimized BERT Pretraining Approach.
SAGE: A Context-Aware Approach for Mining Privacy Requirements Relevant Reviews from Mental Health Apps RoBERTa: A Robustly Optimized BERT Pretraining Approach
Reference 28
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T18:12:57.435093Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b71226a7-acca-4b27-a4d9-5e82be54d03b · outbound
This paper cites Deberta: Decoding-enhanced bert with disentangled attention,.
SAGE: A Context-Aware Approach for Mining Privacy Requirements Relevant Reviews from Mental Health Apps Deberta: Decoding-enhanced bert with disentangled attention,
Reference 29
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:13:00.177568Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 1273e4a2-0565-48f9-81f9-e6e48a5bb47a · outbound
This paper cites DeBERTaV3: Improving DeBERTa using ELECTRA-Style Pre-Training with Gradient-Disentangled Embedding Sharing.
SAGE: A Context-Aware Approach for Mining Privacy Requirements Relevant Reviews from Mental Health Apps DeBERTaV3: Improving DeBERTa using ELECTRA-Style Pre-Training with Gradient-Disentangled Embedding Sharing
Reference 30
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T18:12:57.451901Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7ac9eb62-5c23-4b4c-bdb8-9faded89a3f4 · outbound
This paper cites Transformers: State-of-the-art natural language process- ing,.
SAGE: A Context-Aware Approach for Mining Privacy Requirements Relevant Reviews from Mental Health Apps Transformers: State-of-the-art natural language process- ing,
Reference 31
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:13:00.121827Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation f2a4d7a3-8e8d-46f4-9124-63692f43028f · outbound
This paper cites A broad-coverage challenge corpus for sentence un- derstanding through inference,.
SAGE: A Context-Aware Approach for Mining Privacy Requirements Relevant Reviews from Mental Health Apps A broad-coverage challenge corpus for sentence un- derstanding through inference,
Reference 32
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:13:00.054602Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation a72da116-8ad5-4f02-97e5-6952f76d356f · outbound
This paper cites Adversarial NLI: A new benchmark for natural language understanding,.
SAGE: A Context-Aware Approach for Mining Privacy Requirements Relevant Reviews from Mental Health Apps Adversarial NLI: A new benchmark for natural language understanding,
Reference 33
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:12:59.992502Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation b491c6c8-dcae-4a5c-aa28-171d91c09971 · outbound
This paper cites The fever2. 0 shared task,.
SAGE: A Context-Aware Approach for Mining Privacy Requirements Relevant Reviews from Mental Health Apps The fever2. 0 shared task,
Reference 34
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:12:59.923629Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 1251331d-c151-4426-b41c-6aca94c4088c · outbound
This paper cites Evaluating semantic accuracy of data-to-text generation with natural language inference,.
SAGE: A Context-Aware Approach for Mining Privacy Requirements Relevant Reviews from Mental Health Apps Evaluating semantic accuracy of data-to-text generation with natural language inference,
Reference 35
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:12:59.873254Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation ee8df291-d976-4fd0-bd89-d9dacb7e2dbf · outbound
This paper cites Unleashing the potential of prompt engineering for large language models,.
SAGE: A Context-Aware Approach for Mining Privacy Requirements Relevant Reviews from Mental Health Apps Unleashing the potential of prompt engineering for large language models,
Reference 36
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T18:12:57.520263Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a6b917c8-a08f-4465-b4dc-5624ca56c07c · outbound
This paper cites LLaMA: Open and Efficient Foundation Language Models.
SAGE: A Context-Aware Approach for Mining Privacy Requirements Relevant Reviews from Mental Health Apps LLaMA: Open and Efficient Foundation Language Models
Reference 37
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T18:12:57.530838Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d01b40c0-5198-4523-ad4a-bf89e1feb488 · outbound
This paper cites Revisiting sentiment analysis for software engineering in the era of large language models,.
SAGE: A Context-Aware Approach for Mining Privacy Requirements Relevant Reviews from Mental Health Apps Revisiting sentiment analysis for software engineering in the era of large language models,
Reference 38
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:12:59.793751Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 58fee5e9-5735-4293-ba4b-a341f41d0e14 · outbound
This paper cites An empirical study of the non-determinism of chatgpt in code generation,.
SAGE: A Context-Aware Approach for Mining Privacy Requirements Relevant Reviews from Mental Health Apps An empirical study of the non-determinism of chatgpt in code generation,
Reference 39
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:12:59.735601Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 2ecca722-7cde-4bf2-89ad-a1e9618d6ceb · outbound
This paper cites A Comprehensive Capability Analysis of GPT-3 and GPT-3.5 Series Models.
SAGE: A Context-Aware Approach for Mining Privacy Requirements Relevant Reviews from Mental Health Apps A Comprehensive Capability Analysis of GPT-3 and GPT-3.5 Series Models
Reference 40
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T18:12:57.561848Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 14c4b624-2781-4580-a6e2-834545712e70 · outbound
This paper cites Gpt-4o mini: Advancing cost-efficient intelli- gence,.
SAGE: A Context-Aware Approach for Mining Privacy Requirements Relevant Reviews from Mental Health Apps Gpt-4o mini: Advancing cost-efficient intelli- gence,
Reference 41
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:12:59.660769Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 56b3102c-e556-4a7a-b1ef-bcffc8ed14b3 · outbound
This paper cites Want to reduce labeling cost? GPT-3 can help,.
SAGE: A Context-Aware Approach for Mining Privacy Requirements Relevant Reviews from Mental Health Apps Want to reduce labeling cost? GPT-3 can help,
Reference 42
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:12:59.608604Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 37eb78a0-9287-418b-b2ef-cb3c098a3742 · outbound
This paper cites Machine learning in automated text categorization,.
SAGE: A Context-Aware Approach for Mining Privacy Requirements Relevant Reviews from Mental Health Apps Machine learning in automated text categorization,
Reference 43
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:12:59.482274Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation b6c6702d-1cf3-4d6c-bb9a-2d13224efe8a · outbound
This paper cites Weighted kappa: Nominal scale agreement provision for scaled disagreement or partial credit.
SAGE: A Context-Aware Approach for Mining Privacy Requirements Relevant Reviews from Mental Health Apps Weighted kappa: Nominal scale agreement provision for scaled disagreement or partial credit
Reference 44
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:12:59.430744Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 1bcba5d7-9233-49da-bf2c-01bf51ea892b · outbound
This paper cites Text categorization with support vector machines: Learn- ing with many relevant features,.
SAGE: A Context-Aware Approach for Mining Privacy Requirements Relevant Reviews from Mental Health Apps Text categorization with support vector machines: Learn- ing with many relevant features,
Reference 45
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:12:59.370693Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 4ec908fc-acdb-42a4-b41d-313f10cd7a57 · outbound
This paper cites Support vector machines for text categorization,.
SAGE: A Context-Aware Approach for Mining Privacy Requirements Relevant Reviews from Mental Health Apps Support vector machines for text categorization,
Reference 46
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:12:59.300981Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation f4c31487-48d0-46f2-ad98-1b320fc876f0 · outbound
This paper cites A taxonomy of privacy,.
SAGE: A Context-Aware Approach for Mining Privacy Requirements Relevant Reviews from Mental Health Apps A taxonomy of privacy,
Reference 47
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:12:59.234061Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation bde67598-132f-4ef4-ba25-55e8ebab72a3 · outbound
This paper cites Privacy-enhancing technologies,.
SAGE: A Context-Aware Approach for Mining Privacy Requirements Relevant Reviews from Mental Health Apps Privacy-enhancing technologies,
Reference 48
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:12:59.162727Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 962c94a9-157d-41c8-8f6c-df38478006bf · outbound
This paper cites Understanding interobserver agreement: the kappa statistic,.
SAGE: A Context-Aware Approach for Mining Privacy Requirements Relevant Reviews from Mental Health Apps Understanding interobserver agreement: the kappa statistic,
Reference 49
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:12:59.097681Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 316f8b88-9c1c-4d76-90a3-4314468f3353 · outbound
This paper cites Exploring the capability of chatgpt to reproduce human labels for social computing tasks,.
SAGE: A Context-Aware Approach for Mining Privacy Requirements Relevant Reviews from Mental Health Apps Exploring the capability of chatgpt to reproduce human labels for social computing tasks,
Reference 50
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:12:59.028117Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation b3080fb7-710a-455c-b10a-6bf18aedd9d9 · outbound
This paper cites The parrot dilemma: Human-labeled vs. LLM- augmented data in classification tasks,.
SAGE: A Context-Aware Approach for Mining Privacy Requirements Relevant Reviews from Mental Health Apps The parrot dilemma: Human-labeled vs. LLM- augmented data in classification tasks,
Reference 51
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:12:58.956266Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation d2bccb0b-8302-46b0-b9f0-473506e72bf4 · outbound
This paper cites Narratives: the unforeseen influencer of privacy concerns,.
SAGE: A Context-Aware Approach for Mining Privacy Requirements Relevant Reviews from Mental Health Apps Narratives: the unforeseen influencer of privacy concerns,
Reference 52
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:12:58.882771Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 7239a262-0327-48de-a121-d250a4a2450e · outbound
This paper cites The Llama 3 Herd of Models.
SAGE: A Context-Aware Approach for Mining Privacy Requirements Relevant Reviews from Mental Health Apps The Llama 3 Herd of Models
Reference 53
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T18:12:57.923078Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b316ffa0-bdf3-48bd-bd13-1c169cce0d2e · outbound
This paper cites Introducing the technology innovation institute’s falcon 3 making advanced ai accessible and available to everyone, everywhere,.
SAGE: A Context-Aware Approach for Mining Privacy Requirements Relevant Reviews from Mental Health Apps Introducing the technology innovation institute’s falcon 3 making advanced ai accessible and available to everyone, everywhere,
Reference 54
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:12:58.823071Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 0f373228-731c-4453-a92c-99a08f974038 · outbound
This paper cites Mistral 7b,.
SAGE: A Context-Aware Approach for Mining Privacy Requirements Relevant Reviews from Mental Health Apps Mistral 7b,
Reference 55
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:12:58.767934Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 932dd627-b26e-4d84-87c2-5714bf022fac · outbound
This paper cites Finding the needle in a haystack: On the automatic identification of accessibility user reviews,.
SAGE: A Context-Aware Approach for Mining Privacy Requirements Relevant Reviews from Mental Health Apps Finding the needle in a haystack: On the automatic identification of accessibility user reviews,
Reference 56
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:12:58.720889Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 8b9bcf69-3627-4185-96fe-27ef75c51602 · outbound
This paper cites Large language models for software engineering: A systematic literature review,.
SAGE: A Context-Aware Approach for Mining Privacy Requirements Relevant Reviews from Mental Health Apps Large language models for software engineering: A systematic literature review,
Reference 57
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:12:58.657951Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 44b9a04a-a84f-4352-949d-c8660833ce92 · outbound
This paper cites Leveraging gpt-like llms to automate issue labeling,.
SAGE: A Context-Aware Approach for Mining Privacy Requirements Relevant Reviews from Mental Health Apps Leveraging gpt-like llms to automate issue labeling,
Reference 58
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:12:58.616360Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 4ddf18d8-590e-457c-bdf5-2dd355c2f447 · outbound
This paper cites Advancing requirements engineering through generative ai: Assessing the role of llms,.
SAGE: A Context-Aware Approach for Mining Privacy Requirements Relevant Reviews from Mental Health Apps Advancing requirements engineering through generative ai: Assessing the role of llms,
Reference 59
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T18:12:58.089584Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 637c34e5-6bf3-4607-82e9-b9eba6ec6f0c · outbound
This paper cites Exploring the efficacy of chatgpt in generating requirements: An experimental study,.
SAGE: A Context-Aware Approach for Mining Privacy Requirements Relevant Reviews from Mental Health Apps Exploring the efficacy of chatgpt in generating requirements: An experimental study,
Reference 60
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:12:58.548250Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 6ee4929f-a0df-4e53-a886-2a87da647c73 · outbound
This paper cites Investigating chatgpt’s potential to assist in requirements elicitation processes,.
SAGE: A Context-Aware Approach for Mining Privacy Requirements Relevant Reviews from Mental Health Apps Investigating chatgpt’s potential to assist in requirements elicitation processes,
Reference 61
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T18:12:58.153318Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9cbfa103-2f46-4209-bf6f-e9f3bc7d3a6d · outbound
This paper cites Chatgpt prompt patterns for improving code quality, refactoring, requirements elicitation, and software design,.
SAGE: A Context-Aware Approach for Mining Privacy Requirements Relevant Reviews from Mental Health Apps Chatgpt prompt patterns for improving code quality, refactoring, requirements elicitation, and software design,
Reference 62
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T18:12:58.187812Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e34b09da-4c2f-4599-9bb8-05964b2be02d · outbound
This paper cites Autonomous agents in software development: A vi- sion paper,.
SAGE: A Context-Aware Approach for Mining Privacy Requirements Relevant Reviews from Mental Health Apps Autonomous agents in software development: A vi- sion paper,
Reference 63
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:12:58.478574Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 456252f6-1b0a-4dd9-99b8-73cbdb25fa50 · outbound
This paper cites ChatGPT: A Study on its Utility for Ubiquitous Software Engineering Tasks.
SAGE: A Context-Aware Approach for Mining Privacy Requirements Relevant Reviews from Mental Health Apps ChatGPT: A Study on its Utility for Ubiquitous Software Engineering Tasks
Reference 64
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T18:12:58.246295Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0f4c0b9d-2d49-4fc5-8ecb-40d71e78334f · outbound
This paper cites Using chatgpt in software requirements engineering: A comprehensive review,.
SAGE: A Context-Aware Approach for Mining Privacy Requirements Relevant Reviews from Mental Health Apps Using chatgpt in software requirements engineering: A comprehensive review,
Reference 65
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T18:12:58.264902Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3f9e495d-3c5f-4166-88c4-3d2fab14bca4 · outbound
This paper cites 2021, pp.
Reference 2021
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:12:59.539862Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Pith citing papers
No inbound Pith citation observations are available.