Paper Citation Record · LEDGER

A Deep Learning Algorithm Based on CNN-LSTM Framework for Predicting Cancer Drug Sales Volume

As of 20 August 2026, this Paper Citation Record lists 15 of 15 outbound references and 3 inbound Pith citation observations for arXiv:2506.21927.

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

pith.paper-citation-record.v1
2506.21927 v1

Coverage vector

measured 15 of 15 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T22:18:15.993237Z

measured 18 of 18 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T15:08:48.150686Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T05:59:26.006478Z

Reference resolution

15 of 15 outbound references displayed

verified exact0
verified fuzzy14
unresolved1
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 1b24f2ba-011e-4eb3-97e0-0c9e10252b66 · outbound

This paper cites The growing role of precision and personalized medicine for cancer treatment[J].

A Deep Learning Algorithm Based on CNN-LSTM Framework for Predicting Cancer Drug Sales Volume The growing role of precision and personalized medicine for cancer treatment[J]

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:18:19.279101Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 4cc9beee-5fcb-4727-8e14-4d8b29a8e53c · outbound

This paper cites Comparison of sales income and research and development costs for FDA -approved cancer drugs sold by originator drug companies[J].

A Deep Learning Algorithm Based on CNN-LSTM Framework for Predicting Cancer Drug Sales Volume Comparison of sales income and research and development costs for FDA -approved cancer drugs sold by originator drug companies[J]

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:18:19.049909Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 16f6d556-5c06-46ba-be46-54bccb583d48 · outbound

This paper cites Breath analysis system with convolutional neural network (CNN) for early detection of lung cancer[J].

A Deep Learning Algorithm Based on CNN-LSTM Framework for Predicting Cancer Drug Sales Volume Breath analysis system with convolutional neural network (CNN) for early detection of lung cancer[J]

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:18:18.824472Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation bb4e416f-6a1e-4617-a35c-dce8ab851698 · outbound

This paper cites Comparative study of long short -term memory (LSTM), bidirectional LSTM, and traditional machine learning approaches for energy consumption prediction[J].

A Deep Learning Algorithm Based on CNN-LSTM Framework for Predicting Cancer Drug Sales Volume Comparative study of long short -term memory (LSTM), bidirectional LSTM, and traditional machine learning approaches for energy consumption prediction[J]

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:18:18.582017Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 53cd66fc-276a-4251-878d-b9a34653d899 · outbound

This paper cites A review of ridge parameter selection: minimization of the mean squared error vs.

A Deep Learning Algorithm Based on CNN-LSTM Framework for Predicting Cancer Drug Sales Volume A review of ridge parameter selection: minimization of the mean squared error vs

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:18:18.386303Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation ac1e01d5-b8ac-4088-8600-904aa7daadd4 · outbound

This paper cites Applying Machine Learning and Statistical Forecasting Methods for Enhancing Pharmaceutical Sales Predictions[J].

A Deep Learning Algorithm Based on CNN-LSTM Framework for Predicting Cancer Drug Sales Volume Applying Machine Learning and Statistical Forecasting Methods for Enhancing Pharmaceutical Sales Predictions[J]

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:18:18.230227Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation f9511de2-71e2-4a5f-82e6-8fbfca199b4d · outbound

This paper cites Drug sales forecasting in the pharmaceutical market using deep neural network algorithms[J].

A Deep Learning Algorithm Based on CNN-LSTM Framework for Predicting Cancer Drug Sales Volume Drug sales forecasting in the pharmaceutical market using deep neural network algorithms[J]

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:18:18.060896Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 6cc16e67-e823-4687-b22d-357c513be1e0 · outbound

This paper cites Predicting drug shortages using pharmacy data and machine learning[J].

A Deep Learning Algorithm Based on CNN-LSTM Framework for Predicting Cancer Drug Sales Volume Predicting drug shortages using pharmacy data and machine learning[J]

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:18:17.887810Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 5878176c-7f8c-48d8-a58f-66bf6dab9c04 · outbound

This paper cites New drugs and stock market: a machine learning framework for predicting pharma market reaction to clinical trial announcements[J].

A Deep Learning Algorithm Based on CNN-LSTM Framework for Predicting Cancer Drug Sales Volume New drugs and stock market: a machine learning framework for predicting pharma market reaction to clinical trial announcements[J]

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:18:17.680047Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation a7e4135f-e411-495f-9b32-3593cb3615dc · outbound

This paper cites Wear prediction of high performance rolling bearing based on 1D-CNN-LSTM hybrid neural network under deep learning[J].

A Deep Learning Algorithm Based on CNN-LSTM Framework for Predicting Cancer Drug Sales Volume Wear prediction of high performance rolling bearing based on 1D-CNN-LSTM hybrid neural network under deep learning[J]

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:18:17.425059Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 9e693605-4d53-43c3-a456-720b947147be · outbound

This paper cites Research on Stock Market Sentiment Analysis and Prediction Method Based on Convolutional Neural Network[J].

A Deep Learning Algorithm Based on CNN-LSTM Framework for Predicting Cancer Drug Sales Volume Research on Stock Market Sentiment Analysis and Prediction Method Based on Convolutional Neural Network[J]

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:18:17.137495Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 22b5242d-23ed-452b-9f18-b76376afd303 · outbound

This paper cites Applications of Long Short -Term Memory (LSTM) Networks in Polymeric Sciences: A Review[J].

A Deep Learning Algorithm Based on CNN-LSTM Framework for Predicting Cancer Drug Sales Volume Applications of Long Short -Term Memory (LSTM) Networks in Polymeric Sciences: A Review[J]

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:18:16.915653Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 991661b0-03bb-4103-8ff1-6ddb4e9aa52b · outbound

This paper cites an unresolved cited work.

A Deep Learning Algorithm Based on CNN-LSTM Framework for Predicting Cancer Drug Sales Volume Unresolved cited work

Reference 13

Resolution: unresolved; raw_fallback, observed 2026-08-06T22:18:16.764846Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 263a8f5b-6e34-4743-ad39-e70fd8032f45 · outbound

This paper cites Long short -term memory[J].

A Deep Learning Algorithm Based on CNN-LSTM Framework for Predicting Cancer Drug Sales Volume Long short -term memory[J]

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:18:16.452370Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 5ba739a3-1779-40c2-978a-cdff6edf6860 · outbound

This paper cites COVID -19 vaccine prediction based on an interpretable CNN-LSTM model with three -stage feature engineering[J].

A Deep Learning Algorithm Based on CNN-LSTM Framework for Predicting Cancer Drug Sales Volume COVID -19 vaccine prediction based on an interpretable CNN-LSTM model with three -stage feature engineering[J]

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:18:16.168132Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Pith citing papers

Observation b003d99e-b848-4d87-9232-684a586f53e9 · inbound

Meta-Learning for Cold-Start Personalization in Prompt-Tuned LLMs cites this paper.

Meta-Learning for Cold-Start Personalization in Prompt-Tuned LLMs A Deep Learning Algorithm Based on CNN-LSTM Framework for Predicting Cancer Drug Sales Volume

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-06T15:08:48.150686Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d6dc13ba-4661-4cae-9e0c-bf6420e736d7 · inbound

Multimodal Foundation Model-Driven User Interest Modeling and Behavior Analysis on Short Video Platforms cites this paper.

Multimodal Foundation Model-Driven User Interest Modeling and Behavior Analysis on Short Video Platforms A Deep Learning Algorithm Based on CNN-LSTM Framework for Predicting Cancer Drug Sales Volume

Reference 7

Resolution: verified exact; local_arxiv, observed 2026-08-05T05:59:26.010411Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation a9729609-df10-401d-8e88-8f9e48deef18 · inbound

Instructional Prompt Optimization for Few-Shot LLM-Based Recommendations on Cold-Start Users cites this paper.

Instructional Prompt Optimization for Few-Shot LLM-Based Recommendations on Cold-Start Users A Deep Learning Algorithm Based on CNN-LSTM Framework for Predicting Cancer Drug Sales Volume

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-04T19:46:41.356183Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.