Paper Citation Record · LEDGER

MDiFF: Exploiting Multimodal Score-based Diffusion Models for New Fashion Product Performance Forecasting

As of 16 August 2026, this Paper Citation Record lists 28 of 28 outbound references and 1 inbound Pith citation observation for arXiv:2412.06840.

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

pith.paper-citation-record.v1
2412.06840 v1

Coverage vector

measured 28 of 28 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T20:37:52.991398Z

measured 29 of 29 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T19:16:44.232137Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-10T19:16:44.337016Z

Reference resolution

28 of 28 outbound references displayed

verified exact0
verified fuzzy20
unresolved7
parse uncertain0
malformed identifier0
metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation f30d74ef-ed44-44ee-bd50-fc99e5e4808b · outbound

This paper cites Econometric Reviews 29(5–6), 594–621 (2010).

MDiFF: Exploiting Multimodal Score-based Diffusion Models for New Fashion Product Performance Forecasting Econometric Reviews 29(5–6), 594–621 (2010)

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:37:53.408067Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 9fa45862-1cc3-44ec-a016-e9350e7990f7 · outbound

This paper cites Water14(7), 1073 (2022).

MDiFF: Exploiting Multimodal Score-based Diffusion Models for New Fashion Product Performance Forecasting Water14(7), 1073 (2022)

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:37:53.393448Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 94f569a2-24e2-46fa-a11e-53e135fde6da · outbound

This paper cites In: 19th International Conference on Computer Vision Theory and Applications (VISAPP) (2024).

MDiFF: Exploiting Multimodal Score-based Diffusion Models for New Fashion Product Performance Forecasting In: 19th International Conference on Computer Vision Theory and Applications (VISAPP) (2024)

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-11T20:37:52.882536Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5b80a3b6-25fc-41de-80e9-5f7a6ef08dc0 · outbound

This paper cites https://kaggle.com/competitions/h- and- m- personalized- fashion-recommendations, accessed: 2024-09-16.

MDiFF: Exploiting Multimodal Score-based Diffusion Models for New Fashion Product Performance Forecasting https://kaggle.com/competitions/h- and- m- personalized- fashion-recommendations, accessed: 2024-09-16

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:37:53.368673Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 1192e839-034f-4ee8-8623-c0ba4901e922 · outbound

This paper cites International Journal of Computational Intelligence Systems12(2), 1537 (2019).

MDiFF: Exploiting Multimodal Score-based Diffusion Models for New Fashion Product Performance Forecasting International Journal of Computational Intelligence Systems12(2), 1537 (2019)

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:37:53.354704Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation d58917c4-b19b-463f-b84b-dd9abb4542b9 · outbound

This paper cites In: Conference on Computer Vision and Pattern Recognition (CVPR) (2009).

MDiFF: Exploiting Multimodal Score-based Diffusion Models for New Fashion Product Performance Forecasting In: Conference on Computer Vision and Pattern Recognition (CVPR) (2009)

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:37:53.339108Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 71f07df9-3c58-436a-bf13-016c5d727233 · outbound

This paper cites In: 26th International Conference on Knowledge Discovery & Data Mining (KDD) (2020).

MDiFF: Exploiting Multimodal Score-based Diffusion Models for New Fashion Product Performance Forecasting In: 26th International Conference on Knowledge Discovery & Data Mining (KDD) (2020)

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-11T20:37:52.902880Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 72399cea-2af7-48d4-a247-42be3f0ff862 · outbound

This paper cites The Annals of Statistics29(5) (2001).

MDiFF: Exploiting Multimodal Score-based Diffusion Models for New Fashion Product Performance Forecasting The Annals of Statistics29(5) (2001)

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:37:53.315535Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation f2851f9a-99fa-489a-a3cd-c6c427d33bc8 · outbound

This paper cites Leveraging Latent Diffusion Models for Training-Free In-Distribution Data Augmentation for Surface Defect Detection.

MDiFF: Exploiting Multimodal Score-based Diffusion Models for New Fashion Product Performance Forecasting Leveraging Latent Diffusion Models for Training-Free In-Distribution Data Augmentation for Surface Defect Detection

Reference 9

Resolution: metadata mismatch; local_arxiv, observed 2026-08-11T20:37:53.074793Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation ead01498-c082-4346-a20c-65c9a5943d2d · outbound

This paper cites Efficiently Modeling Long Sequences with Structured State Spaces.

MDiFF: Exploiting Multimodal Score-based Diffusion Models for New Fashion Product Performance Forecasting Efficiently Modeling Long Sequences with Structured State Spaces

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-11T20:37:52.916435Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 055d6410-8fff-44d8-81e9-a057ff5a5359 · outbound

This paper cites In: Conference on Computer Vision and Pattern Recognition (CVPR) (2016).

MDiFF: Exploiting Multimodal Score-based Diffusion Models for New Fashion Product Performance Forecasting In: Conference on Computer Vision and Pattern Recognition (CVPR) (2016)

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:37:53.300953Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 0fdca4de-888a-4fa8-8071-a727cd4bb431 · outbound

This paper cites In: Advances in Neural Information Processing Systems (NeurIPS) (2020).

MDiFF: Exploiting Multimodal Score-based Diffusion Models for New Fashion Product Performance Forecasting In: Advances in Neural Information Processing Systems (NeurIPS) (2020)

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-11T20:37:52.925506Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e9d09902-b636-4a3c-841d-f37e263eaaff · outbound

This paper cites Springer Science & Business Media (2008).

MDiFF: Exploiting Multimodal Score-based Diffusion Models for New Fashion Product Performance Forecasting Springer Science & Business Media (2008)

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:37:53.275386Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 232f9416-10d9-43b0-a3eb-65b40ad59fd6 · outbound

This paper cites In: European Confer- ence on Computer Vision (ECCV) (2022).

MDiFF: Exploiting Multimodal Score-based Diffusion Models for New Fashion Product Performance Forecasting In: European Confer- ence on Computer Vision (ECCV) (2022)

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:37:53.261642Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 4369df17-4e8d-4a0a-ad03-10ca00887abe · outbound

This paper cites In: Advances in Neural Information Processing Systems (NeurIPS) (2024) MDiFF: Multimodal Score-based Diffusion Models for NFPPF 15.

MDiFF: Exploiting Multimodal Score-based Diffusion Models for New Fashion Product Performance Forecasting In: Advances in Neural Information Processing Systems (NeurIPS) (2024) MDiFF: Multimodal Score-based Diffusion Models for NFPPF 15

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:37:53.247814Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation e4d7f74b-476d-4c83-8fbf-8cc090bb9694 · outbound

This paper cites an unresolved cited work.

MDiFF: Exploiting Multimodal Score-based Diffusion Models for New Fashion Product Performance Forecasting Unresolved cited work

Reference 16

Resolution: unresolved; raw_fallback, observed 2026-08-11T20:37:53.233947Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 4cee3a96-0beb-474e-a960-4c34b424cece · outbound

This paper cites Frontiers of Information Technology & Electronic Engineering25(1), 19–41 (2023).

MDiFF: Exploiting Multimodal Score-based Diffusion Models for New Fashion Product Performance Forecasting Frontiers of Information Technology & Electronic Engineering25(1), 19–41 (2023)

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:37:53.220145Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation a45190bd-eb55-4834-adbc-1a97f20ee21e · outbound

This paper cites Decoupled Weight Decay Regularization.

MDiFF: Exploiting Multimodal Score-based Diffusion Models for New Fashion Product Performance Forecasting Decoupled Weight Decay Regularization

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-11T20:37:52.950048Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 24da9857-700b-4470-8687-0aa39a852d41 · outbound

This paper cites Nature Reviews Earth & Environment1(4), 189–200 (2020).

MDiFF: Exploiting Multimodal Score-based Diffusion Models for New Fashion Product Performance Forecasting Nature Reviews Earth & Environment1(4), 189–200 (2020)

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:37:53.205023Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 37f7d5e3-c388-49f8-8715-0cd629b0d8ae · outbound

This paper cites In: Advances in Neural Information Process- ing Systems (NeurIPS) (2019).

MDiFF: Exploiting Multimodal Score-based Diffusion Models for New Fashion Product Performance Forecasting In: Advances in Neural Information Process- ing Systems (NeurIPS) (2019)

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:37:53.189303Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 24f203bb-d385-44df-acde-537898c0e156 · outbound

This paper cites Annals of Operations Research 257(1–2), 335–355 (2016).

MDiFF: Exploiting Multimodal Score-based Diffusion Models for New Fashion Product Performance Forecasting Annals of Operations Research 257(1–2), 335–355 (2016)

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:37:53.175378Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 872459a6-01b9-442f-8a0f-69b013d194bd · outbound

This paper cites Fashion Retail: Forecasting Demand for New Items.

MDiFF: Exploiting Multimodal Score-based Diffusion Models for New Fashion Product Performance Forecasting Fashion Retail: Forecasting Demand for New Items

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-11T20:37:52.966971Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1322538f-0df7-49d4-8db6-ad3a0877edfa · outbound

This paper cites Journal of Forecasting43(6), 1982–1997 (2024).

MDiFF: Exploiting Multimodal Score-based Diffusion Models for New Fashion Product Performance Forecasting Journal of Forecasting43(6), 1982–1997 (2024)

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:37:53.162069Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 06fd5e14-2eec-49a6-8dc6-60c23169b9e1 · outbound

This paper cites In: Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) (2022).

MDiFF: Exploiting Multimodal Score-based Diffusion Models for New Fashion Product Performance Forecasting In: Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) (2022)

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:37:53.147274Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation e3f32802-db80-4765-9cbc-004dec597ec2 · outbound

This paper cites In: International Confer- ence on Machine Learning (ICML) (2015).

MDiFF: Exploiting Multimodal Score-based Diffusion Models for New Fashion Product Performance Forecasting In: International Confer- ence on Machine Learning (ICML) (2015)

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:37:53.132509Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation b3df3bfe-997a-4341-8fe8-822165bab485 · outbound

This paper cites In: International Conference on Learning Representations (ICLR) (2020).

MDiFF: Exploiting Multimodal Score-based Diffusion Models for New Fashion Product Performance Forecasting In: International Conference on Learning Representations (ICLR) (2020)

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:37:53.118169Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 039f6709-af69-4e34-a6a4-f9c80eedf662 · outbound

This paper cites In: Advances in Neural Information Pro- cessing Systems (NeurIPS) (2017).

MDiFF: Exploiting Multimodal Score-based Diffusion Models for New Fashion Product Performance Forecasting In: Advances in Neural Information Pro- cessing Systems (NeurIPS) (2017)

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:37:53.102781Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 2a40620c-5018-41d5-933f-0983db4c7906 · outbound

This paper cites ACM Computing Surveys56(4), 1–39 (2023).

MDiFF: Exploiting Multimodal Score-based Diffusion Models for New Fashion Product Performance Forecasting ACM Computing Surveys56(4), 1–39 (2023)

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:37:53.088671Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Pith citing papers

Observation a4e29173-60a1-46eb-b426-ae1de382906a · inbound

New Fashion Products Performance Forecasting: A Survey on Evolutions, Models and Emerging Trends cites this paper.

New Fashion Products Performance Forecasting: A Survey on Evolutions, Models and Emerging Trends MDiFF: Exploiting Multimodal Score-based Diffusion Models for New Fashion Product Performance Forecasting

Reference 45

Resolution: metadata mismatch; local_arxiv, observed 2026-08-10T19:16:44.342151Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.