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Paper Citation Record · LEDGER

S-Diff: An Anisotropic Diffusion Model for Collaborative Filtering in Spectral Domain

As of 11 August 2026, this Paper Citation Record lists 58 of 58 outbound references and 0 inbound Pith citation observations for arXiv:2501.00384.

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

pith.paper-citation-record.v1
2501.00384 v1

Coverage vector

measured 58 of 58 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T22:57:06.368959Z

measured 58 of 58 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+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

58 of 58 outbound references displayed

  • verified exact8
  • verified fuzzy4
  • unresolved46
  • parse uncertain0
  • malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation d5fb8629-828c-4e7c-8674-b3ccf5247c0e · outbound

This paper cites RecFusion: A Binomial Diffusion Process for 1D Data for Recommendation.

S-Diff: An Anisotropic Diffusion Model for Collaborative Filtering in Spectral Domain RecFusion: A Binomial Diffusion Process for 1D Data for Recommendation

Reference 1

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verified exact
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Source-reported events for the cited work

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Observation caa44066-943a-40c6-8607-bcd65b189ad2 · outbound

This paper cites an unresolved cited work.

S-Diff: An Anisotropic Diffusion Model for Collaborative Filtering in Spectral Domain Unresolved cited work

Reference 2

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation 4d99ab3a-b72d-43ac-bc8e-63369fe3f33a · outbound

This paper cites Graph Neural Aggregation-diffusion with Metastability.

S-Diff: An Anisotropic Diffusion Model for Collaborative Filtering in Spectral Domain Graph Neural Aggregation-diffusion with Metastability

Reference 3

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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation df471989-63d8-4dfa-a91b-a2695cc61172 · outbound

This paper cites Diffusion-based Contrastive Learning for Sequential Recommendation.

S-Diff: An Anisotropic Diffusion Model for Collaborative Filtering in Spectral Domain Diffusion-based Contrastive Learning for Sequential Recommendation

Reference 4

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Source-reported events for the cited work

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Observation 7a2d3153-ac59-45b1-94f2-35a9e7a6a881 · outbound

This paper cites an unresolved cited work.

S-Diff: An Anisotropic Diffusion Model for Collaborative Filtering in Spectral Domain Unresolved cited work

Reference 5

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation 9f59a24c-0ff1-4b3b-98d4-27a29b11c29e · outbound

This paper cites Soft Diffusion: Score Matching for General Corruptions.

S-Diff: An Anisotropic Diffusion Model for Collaborative Filtering in Spectral Domain Soft Diffusion: Score Matching for General Corruptions

Reference 6

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation ad606338-0016-4881-9998-4944f52c2a0e · outbound

This paper cites an unresolved cited work.

S-Diff: An Anisotropic Diffusion Model for Collaborative Filtering in Spectral Domain Unresolved cited work

Reference 7

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation 28b0758f-ca95-463f-b645-4b30a35ba479 · outbound

This paper cites an unresolved cited work.

S-Diff: An Anisotropic Diffusion Model for Collaborative Filtering in Spectral Domain Unresolved cited work

Reference 8

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation aa9aa35c-87c3-4e95-857d-090acfcc3f52 · outbound

This paper cites 2023.Generalized normalizing flows via Markov chains.

S-Diff: An Anisotropic Diffusion Model for Collaborative Filtering in Spectral Domain 2023.Generalized normalizing flows via Markov chains

Reference 9

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation 68cab93a-7626-4eb9-ba44-1105b4d9a1cd · outbound

This paper cites an unresolved cited work.

S-Diff: An Anisotropic Diffusion Model for Collaborative Filtering in Spectral Domain Unresolved cited work

Reference 10

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Observation 3b853fef-e45e-4e91-b713-0be698b35314 · outbound

This paper cites an unresolved cited work.

S-Diff: An Anisotropic Diffusion Model for Collaborative Filtering in Spectral Domain Unresolved cited work

Reference 11

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Observation 13f94bb9-63f3-4fc3-89c5-3b56464d53b3 · outbound

This paper cites an unresolved cited work.

S-Diff: An Anisotropic Diffusion Model for Collaborative Filtering in Spectral Domain Unresolved cited work

Reference 12

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Source-reported events for the cited work

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Observation ebd8374b-722d-4f04-8442-688f64f1891b · outbound

This paper cites Classifier-Free Diffusion Guidance.

S-Diff: An Anisotropic Diffusion Model for Collaborative Filtering in Spectral Domain Classifier-Free Diffusion Guidance

Reference 13

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no resolver link, observed 2026-08-10T22:57:06.171657Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation d06dabb0-8f8d-443e-963a-6074aa3b1aeb · outbound

This paper cites Blurring Diffusion Models.

S-Diff: An Anisotropic Diffusion Model for Collaborative Filtering in Spectral Domain Blurring Diffusion Models

Reference 14

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Unavailable: canonical work link unavailable.

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Observation 0d07afa7-c36c-4a85-a4f2-a4c944bee499 · outbound

This paper cites an unresolved cited work.

S-Diff: An Anisotropic Diffusion Model for Collaborative Filtering in Spectral Domain Unresolved cited work

Reference 15

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation c8f1fc69-1812-4748-b2fa-dcd29aadd699 · outbound

This paper cites Collaborative Filtering Based on Diffusion Models: Unveiling the Potential of High-Order Connectivity.

S-Diff: An Anisotropic Diffusion Model for Collaborative Filtering in Spectral Domain Collaborative Filtering Based on Diffusion Models: Unveiling the Potential of High-Order Connectivity

Reference 16

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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation e2b435a0-3f59-4ee3-9344-26314f16b5eb · outbound

This paper cites an unresolved cited work.

S-Diff: An Anisotropic Diffusion Model for Collaborative Filtering in Spectral Domain Unresolved cited work

Reference 17

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Observation a8abcd8f-f476-44aa-843a-175a7430c32c · outbound

This paper cites an unresolved cited work.

S-Diff: An Anisotropic Diffusion Model for Collaborative Filtering in Spectral Domain Unresolved cited work

Reference 18

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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation ea4e5a04-7b2c-46c3-8a33-197bb5856744 · outbound

This paper cites an unresolved cited work.

S-Diff: An Anisotropic Diffusion Model for Collaborative Filtering in Spectral Domain Unresolved cited work

Reference 19

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Observation e63f7709-4be2-4c21-8704-bb89f7b21017 · outbound

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S-Diff: An Anisotropic Diffusion Model for Collaborative Filtering in Spectral Domain Unresolved cited work

Reference 20

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Observation 4632f8c9-c36d-4f17-8ef5-0248a726f74a · outbound

This paper cites an unresolved cited work.

S-Diff: An Anisotropic Diffusion Model for Collaborative Filtering in Spectral Domain Unresolved cited work

Reference 21

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation dc4f5546-093e-470e-bfb7-4be88c1f51e5 · outbound

This paper cites InInternational Conference on Machine Learning.

S-Diff: An Anisotropic Diffusion Model for Collaborative Filtering in Spectral Domain InInternational Conference on Machine Learning

Reference 22

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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation faae2655-f6a0-4b49-88eb-a8aaec0fd653 · outbound

This paper cites an unresolved cited work.

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Reference 23

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Source-reported events for the cited work

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Observation 7776247f-77c1-4639-ac83-f0f21f303f36 · outbound

This paper cites an unresolved cited work.

S-Diff: An Anisotropic Diffusion Model for Collaborative Filtering in Spectral Domain Unresolved cited work

Reference 24

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation f86fe2bc-a1ae-44bb-ad3d-9d358093e8f2 · outbound

This paper cites DimeRec: A Unified Framework for Enhanced Sequential Recommendation via Generative Diffusion Models.

S-Diff: An Anisotropic Diffusion Model for Collaborative Filtering in Spectral Domain DimeRec: A Unified Framework for Enhanced Sequential Recommendation via Generative Diffusion Models

Reference 25

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Observation ed485697-c5fb-4649-a317-cef6ffb4a4cb · outbound

This paper cites an unresolved cited work.

S-Diff: An Anisotropic Diffusion Model for Collaborative Filtering in Spectral Domain Unresolved cited work

Reference 26

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Observation ec7893e2-f034-4b3d-8d38-a572496a22fe · outbound

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S-Diff: An Anisotropic Diffusion Model for Collaborative Filtering in Spectral Domain Preference Diffusion for Recommendation

Reference 27

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Observation 3415618c-bd6e-4352-9c22-b0899e900ca5 · outbound

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Reference 28

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation 6556b128-84de-4386-af7e-6a567d1356cf · outbound

This paper cites an unresolved cited work.

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Reference 29

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation ece51579-f7f8-42bf-adb4-4704ce92bd98 · outbound

This paper cites an unresolved cited work.

S-Diff: An Anisotropic Diffusion Model for Collaborative Filtering in Spectral Domain Unresolved cited work

Reference 30

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation 036c2eae-2e9c-4cac-86c4-1a49e2cc04d4 · outbound

This paper cites an unresolved cited work.

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Source-reported events for the cited work

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Observation 8f1c9d40-7c29-4c85-97f0-ebf994fd25c1 · outbound

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Reference 32

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Source-reported events for the cited work

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Observation d14ff199-a19a-4bca-9c3a-bf0cad991b00 · outbound

This paper cites Graph Neural Ordinary Differential Equations.

S-Diff: An Anisotropic Diffusion Model for Collaborative Filtering in Spectral Domain Graph Neural Ordinary Differential Equations

Reference 33

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 68ab6719-68a2-42c3-8bda-cfcfe3faabb1 · outbound

This paper cites How Powerful is Graph Filtering for Recommendation.

S-Diff: An Anisotropic Diffusion Model for Collaborative Filtering in Spectral Domain How Powerful is Graph Filtering for Recommendation

Reference 34

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verified exact
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation b80c870a-81ef-453a-aabc-91595cac8891 · outbound

This paper cites an unresolved cited work.

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Reference 35

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation 46b6b05b-59bf-4e8e-9740-22e24b96b64d · outbound

This paper cites an unresolved cited work.

S-Diff: An Anisotropic Diffusion Model for Collaborative Filtering in Spectral Domain Unresolved cited work

Reference 36

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 3a55cb4f-5abf-4ed0-8373-3b2375336c54 · outbound

This paper cites PolyCF: Towards the Optimal Spectral Graph Filters for Collaborative Filtering.

S-Diff: An Anisotropic Diffusion Model for Collaborative Filtering in Spectral Domain PolyCF: Towards the Optimal Spectral Graph Filters for Collaborative Filtering

Reference 37

Resolution
verified exact
local_arxiv, observed 2026-08-10T22:57:06.505513Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation de71b5ab-5dfe-451d-9ee4-619c9f4f4d10 · outbound

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S-Diff: An Anisotropic Diffusion Model for Collaborative Filtering in Spectral Domain Unresolved cited work

Reference 38

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unresolved
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation 4d39e233-a8c1-4ebf-938a-2f302b90a5dd · outbound

This paper cites Denoising Diffusion Implicit Models.

S-Diff: An Anisotropic Diffusion Model for Collaborative Filtering in Spectral Domain Denoising Diffusion Implicit Models

Reference 39

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 6f57ee4e-9d54-4f71-8339-f815361dd336 · outbound

This paper cites an unresolved cited work.

S-Diff: An Anisotropic Diffusion Model for Collaborative Filtering in Spectral Domain Unresolved cited work

Reference 40

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unresolved
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation a9ce7d28-f6bb-4564-84f5-0ca138ff69f0 · outbound

This paper cites Generative Modelling With Inverse Heat Dissipation.

S-Diff: An Anisotropic Diffusion Model for Collaborative Filtering in Spectral Domain Generative Modelling With Inverse Heat Dissipation

Reference 41

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unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 17c24fe3-1a6d-4caa-a3ff-cc5b45e57726 · outbound

This paper cites an unresolved cited work.

S-Diff: An Anisotropic Diffusion Model for Collaborative Filtering in Spectral Domain Unresolved cited work

Reference 42

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation fee52de0-d279-4a38-b912-dc27e3a9a6bc · outbound

This paper cites an unresolved cited work.

S-Diff: An Anisotropic Diffusion Model for Collaborative Filtering in Spectral Domain Unresolved cited work

Reference 43

Resolution
unresolved
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation adcb4217-5b53-4076-8b84-f5101c5aa9ac · outbound

This paper cites an unresolved cited work.

S-Diff: An Anisotropic Diffusion Model for Collaborative Filtering in Spectral Domain Unresolved cited work

Reference 44

Resolution
unresolved
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation 5423e21f-9a49-4d51-8f51-8d71268eefac · outbound

This paper cites an unresolved cited work.

S-Diff: An Anisotropic Diffusion Model for Collaborative Filtering in Spectral Domain Unresolved cited work

Reference 45

Resolution
unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation a37b6b12-ea91-4124-b297-774d2e4a7198 · outbound

This paper cites Binary Noise for Binary Tasks: Masked Bernoulli Diffusion for Unsupervised Anomaly Detection.

S-Diff: An Anisotropic Diffusion Model for Collaborative Filtering in Spectral Domain Binary Noise for Binary Tasks: Masked Bernoulli Diffusion for Unsupervised Anomaly Detection

Reference 46

Resolution
verified exact
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation 64e7aac6-fd27-4a44-9a41-e64f3605fcd6 · outbound

This paper cites an unresolved cited work.

S-Diff: An Anisotropic Diffusion Model for Collaborative Filtering in Spectral Domain Unresolved cited work

Reference 47

Resolution
unresolved
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation 19ef0428-e263-409a-b08f-85cae1146798 · outbound

This paper cites an unresolved cited work.

S-Diff: An Anisotropic Diffusion Model for Collaborative Filtering in Spectral Domain Unresolved cited work

Reference 48

Resolution
unresolved
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation e79fc0b9-24da-42dc-8407-1c1806cff59c · outbound

This paper cites Diffusion Models for Generative Outfit Recommendation.

S-Diff: An Anisotropic Diffusion Model for Collaborative Filtering in Spectral Domain Diffusion Models for Generative Outfit Recommendation

Reference 49

Resolution
unresolved
no resolver link, observed 2026-08-10T22:57:06.355299Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 5c8012a8-5176-4505-85d4-89a9650a7f3a · outbound

This paper cites an unresolved cited work.

S-Diff: An Anisotropic Diffusion Model for Collaborative Filtering in Spectral Domain Unresolved cited work

Reference 50

Resolution
unresolved
raw_fallback, observed 2026-08-10T22:57:06.760788Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation 68696c34-1843-4ef4-a9f0-8ee825d31635 · outbound

This paper cites A Directional Diffusion Graph Transformer for Recommendation.

S-Diff: An Anisotropic Diffusion Model for Collaborative Filtering in Spectral Domain A Directional Diffusion Graph Transformer for Recommendation

Reference 51

Resolution
unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 13798cb5-8e49-4f7b-bd89-a35971c1cbdd · outbound

This paper cites Graph Signal Diffusion Model for Collaborative Filtering.

S-Diff: An Anisotropic Diffusion Model for Collaborative Filtering in Spectral Domain Graph Signal Diffusion Model for Collaborative Filtering

Reference 52

Resolution
verified exact
local_arxiv, observed 2026-08-10T22:57:06.412534Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation c62d2043-94e8-45b5-8c4e-949796640c28 · outbound

This paper cites an unresolved cited work.

S-Diff: An Anisotropic Diffusion Model for Collaborative Filtering in Spectral Domain Unresolved cited work

Reference 56

Resolution
unresolved
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation 9f9d4590-2ebf-4feb-8980-9141220346fa · outbound

This paper cites an unresolved cited work.

S-Diff: An Anisotropic Diffusion Model for Collaborative Filtering in Spectral Domain Unresolved cited work

Reference 2009

Resolution
unresolved
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation dd9cb1d9-36c8-4790-b31b-54e7a24f0f11 · outbound

This paper cites ACM Transactions on Information Systems (TOIS) 40, 1 (2021), 1–22.

S-Diff: An Anisotropic Diffusion Model for Collaborative Filtering in Spectral Domain ACM Transactions on Information Systems (TOIS) 40, 1 (2021), 1–22

Reference 2021

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation 652e2cab-d814-4ab2-ba25-6c1a63757865 · outbound

This paper cites In International Con- ference on Machine Learning.

S-Diff: An Anisotropic Diffusion Model for Collaborative Filtering in Spectral Domain In International Con- ference on Machine Learning

Reference 2022

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation 185af6b8-5740-4e12-8adc-e6f99d535905 · outbound

This paper cites In Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval.

S-Diff: An Anisotropic Diffusion Model for Collaborative Filtering in Spectral Domain In Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval

Reference 2023

Resolution
unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 96a93cd8-e8e6-4e72-84a4-3494627db1e5 · outbound

This paper cites DiffMM: Multi-Modal Diffusion Model for Recommendation.

S-Diff: An Anisotropic Diffusion Model for Collaborative Filtering in Spectral Domain DiffMM: Multi-Modal Diffusion Model for Recommendation

Reference 2024

Resolution
unresolved
no resolver link, observed 2026-08-10T22:57:06.198945Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:57:06.198945Z digest=sha256:1250c33c6989cbe8abdfc0d22695702ccd3d554a7a343a375bbf82a926787a11

Pith citing papers

No inbound Pith citation observations are available.