Paper Citation Record · LEDGER

Multi-task CNN Behavioral Embedding Model For Transaction Fraud Detection

As of 21 August 2026, this Paper Citation Record lists 22 of 22 outbound references and 0 inbound Pith citation observations for arXiv:2411.19457.

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

pith.paper-citation-record.v1
2411.19457 v1

Coverage vector

measured 22 of 22 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T10:12:57.959573Z

measured 22 of 22 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+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

22 of 22 outbound references displayed

verified exact1
verified fuzzy11
unresolved10
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 4afa4aed-a83b-4738-928e-933150da3f2e · outbound

This paper cites Multivariate lstm- fcns for time series classification,.

Multi-task CNN Behavioral Embedding Model For Transaction Fraud Detection Multivariate lstm- fcns for time series classification,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:12:58.359364Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation d5db6e63-d72f-4894-bbf7-bf4e2d878234 · outbound

This paper cites A transformer-based framework for multivariate time series representation learning,.

Multi-task CNN Behavioral Embedding Model For Transaction Fraud Detection A transformer-based framework for multivariate time series representation learning,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:12:58.342139Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation c9a6b9fe-80e2-4099-8fe0-34cfc1dfe755 · outbound

This paper cites Behavior sequence transformer for e-commerce recommendation in alibaba,.

Multi-task CNN Behavioral Embedding Model For Transaction Fraud Detection Behavior sequence transformer for e-commerce recommendation in alibaba,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:12:58.325950Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation e589ee31-7ae1-4d4f-87fe-7271d074a68b · outbound

This paper cites Deep learning for time series classification: a review,.

Multi-task CNN Behavioral Embedding Model For Transaction Fraud Detection Deep learning for time series classification: a review,

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-12T10:12:57.847060Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 05e744f0-d5b7-4a09-a162-93b3d2e1e7ae · outbound

This paper cites Tapnet: Multivariate time series classification with attentional prototypical network,.

Multi-task CNN Behavioral Embedding Model For Transaction Fraud Detection Tapnet: Multivariate time series classification with attentional prototypical network,

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-12T10:12:57.852185Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a8da4149-6475-426b-9628-ff8967f0eb24 · outbound

This paper cites Sequential Behavioral Data Processing Using Deep Learning and the Markov Transition Field in Online Fraud Detection.

Multi-task CNN Behavioral Embedding Model For Transaction Fraud Detection Sequential Behavioral Data Processing Using Deep Learning and the Markov Transition Field in Online Fraud Detection

Reference 6

Resolution: verified exact; local_arxiv, observed 2026-08-12T10:12:58.071102Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation bb7e0b22-fca4-4d64-8cfb-a42db9644688 · outbound

This paper cites Time series classification from scratch with deep neural networks: A strong baseline,.

Multi-task CNN Behavioral Embedding Model For Transaction Fraud Detection Time series classification from scratch with deep neural networks: A strong baseline,

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-12T10:12:57.866810Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f7c6dae6-23cb-4b60-9c47-cb9d9ef93734 · outbound

This paper cites Multi-Scale Convolutional Neural Networks for Time Series Classification.

Multi-task CNN Behavioral Embedding Model For Transaction Fraud Detection Multi-Scale Convolutional Neural Networks for Time Series Classification

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-12T10:12:57.872393Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1a962186-8570-41dd-915d-b9516cd528b0 · outbound

This paper cites Exploiting multi- channels deep convolutional neural networks for multivariate time series classification,.

Multi-task CNN Behavioral Embedding Model For Transaction Fraud Detection Exploiting multi- channels deep convolutional neural networks for multivariate time series classification,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:12:58.266039Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 7a676609-14be-4cca-a6e2-3ec544c32ed3 · outbound

This paper cites Time series classification with multivariate convolutional neural network,.

Multi-task CNN Behavioral Embedding Model For Transaction Fraud Detection Time series classification with multivariate convolutional neural network,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:12:58.243277Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation c98fd617-e4ca-4d2a-914d-a733290c2c8f · outbound

This paper cites Mtex-cnn: Multivariate time series explanations for predictions with convolutional neural networks,.

Multi-task CNN Behavioral Embedding Model For Transaction Fraud Detection Mtex-cnn: Multivariate time series explanations for predictions with convolutional neural networks,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:12:58.224938Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 795ef552-b124-4c9f-bc86-cc45c87a50e3 · outbound

This paper cites Multi-task learning for dense prediction tasks: A survey,.

Multi-task CNN Behavioral Embedding Model For Transaction Fraud Detection Multi-task learning for dense prediction tasks: A survey,

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-12T10:12:57.897434Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9f74d90c-5211-462a-9115-d0681c3a2ee1 · outbound

This paper cites Ubernet: Training a ‘universal’ convolutional neural net- work for low-, mid-, and high-level vision using diverse datasets and limited memory,.

Multi-task CNN Behavioral Embedding Model For Transaction Fraud Detection Ubernet: Training a ‘universal’ convolutional neural net- work for low-, mid-, and high-level vision using diverse datasets and limited memory,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:12:58.196964Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation b397bba7-22ff-4ada-87ed-da79ed603e99 · outbound

This paper cites Cross-stitch net- works for multi-task learning,.

Multi-task CNN Behavioral Embedding Model For Transaction Fraud Detection Cross-stitch net- works for multi-task learning,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:12:58.180217Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation a55e65b7-ab46-42c3-a58d-500c8c9600eb · outbound

This paper cites Multi-task learning using uncer- tainty to weigh losses for scene geometry and semantics,.

Multi-task CNN Behavioral Embedding Model For Transaction Fraud Detection Multi-task learning using uncer- tainty to weigh losses for scene geometry and semantics,

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-12T10:12:57.916016Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ca7d0577-54b4-43ba-92d9-8da654dfbf5d · outbound

This paper cites Gradnorm: Gradient normalization for adaptive loss balancing in deep multitask networks,.

Multi-task CNN Behavioral Embedding Model For Transaction Fraud Detection Gradnorm: Gradient normalization for adaptive loss balancing in deep multitask networks,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:12:58.152242Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation a2490c3d-bada-4487-8324-d1b0c8ed00a8 · outbound

This paper cites Reasonable effectiveness of random weighting: A litmus test for multi-task learning,.

Multi-task CNN Behavioral Embedding Model For Transaction Fraud Detection Reasonable effectiveness of random weighting: A litmus test for multi-task learning,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:12:58.133968Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation f06232cf-9680-4e77-972e-4ca21bce7a0f · outbound

This paper cites Attention is all you need,.

Multi-task CNN Behavioral Embedding Model For Transaction Fraud Detection Attention is all you need,

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-12T10:12:57.933712Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 107556ec-57f0-4598-af1b-fa95d94cbee1 · outbound

This paper cites Bert: Pre-training of deep bidirectional transformers for language understanding,.

Multi-task CNN Behavioral Embedding Model For Transaction Fraud Detection Bert: Pre-training of deep bidirectional transformers for language understanding,

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-12T10:12:57.939091Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f8486acc-b7c6-402c-8a29-3390774830c8 · outbound

This paper cites Convolutional neural network for sentence classification,.

Multi-task CNN Behavioral Embedding Model For Transaction Fraud Detection Convolutional neural network for sentence classification,

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-12T10:12:57.944725Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation da3e7c11-0bbf-4237-9995-7571a63450cf · outbound

This paper cites A Sensitivity Analysis of (and Practitioners' Guide to) Convolutional Neural Networks for Sentence Classification.

Multi-task CNN Behavioral Embedding Model For Transaction Fraud Detection A Sensitivity Analysis of (and Practitioners' Guide to) Convolutional Neural Networks for Sentence Classification

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-12T10:12:57.953182Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dd8b44fb-1929-4d82-8762-e403d37290d3 · outbound

This paper cites Mt-gbm: A multi-task gradient boosting machine with shared decision trees,.

Multi-task CNN Behavioral Embedding Model For Transaction Fraud Detection Mt-gbm: A multi-task gradient boosting machine with shared decision trees,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:12:58.088718Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Pith citing papers

No inbound Pith citation observations are available.