Paper Citation Record · LEDGER

SLIF-MR: Self-loop Iterative Fusion of Heterogeneous Auxiliary Information for Multimodal Recommendation

As of 7 August 2026, this Paper Citation Record lists 35 of 35 outbound references and 0 inbound Pith citation observations for arXiv:2507.09998.

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

pith.paper-citation-record.v1
2507.09998 v1

Coverage vector

measured 35 of 35 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T17:47:49.249401Z

measured 35 of 35 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+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

35 of 35 outbound references displayed

verified exact0
verified fuzzy32
unresolved3
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 42dacae1-389c-4fa1-a431-ed01c82c5d05 · outbound

This paper cites Learning fine-grained user interests for micro-video recommendation,.

SLIF-MR: Self-loop Iterative Fusion of Heterogeneous Auxiliary Information for Multimodal Recommendation Learning fine-grained user interests for micro-video recommendation,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:47:55.322640Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 6cc1dfce-91d5-45d1-ba9d-4766dd8d3b64 · outbound

This paper cites An industrial framework for personalized serendipitous recommen- dation in e-commerce,.

SLIF-MR: Self-loop Iterative Fusion of Heterogeneous Auxiliary Information for Multimodal Recommendation An industrial framework for personalized serendipitous recommen- dation in e-commerce,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:47:55.092034Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation fac95266-718f-4b8e-abf1-868f6970d29c · outbound

This paper cites Neural graph collaborative filtering,.

SLIF-MR: Self-loop Iterative Fusion of Heterogeneous Auxiliary Information for Multimodal Recommendation Neural graph collaborative filtering,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:47:54.844662Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 1a3a6fc1-be75-4d61-a246-441f194bb5b9 · outbound

This paper cites LightGCN: Simplifying and powering graph convolution network for recommendation,.

SLIF-MR: Self-loop Iterative Fusion of Heterogeneous Auxiliary Information for Multimodal Recommendation LightGCN: Simplifying and powering graph convolution network for recommendation,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:47:54.645091Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation dd80382a-b04c-4531-a7ac-36cca7f37161 · outbound

This paper cites Inter-and intra- domain potential user preferences for cross-domain recommendation,.

SLIF-MR: Self-loop Iterative Fusion of Heterogeneous Auxiliary Information for Multimodal Recommendation Inter-and intra- domain potential user preferences for cross-domain recommendation,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:47:54.382751Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 8114bd0c-bb49-48c1-a7de-6af1924f6ae2 · outbound

This paper cites Multimodal graph contrastive learning for multimedia-based recommendation,.

SLIF-MR: Self-loop Iterative Fusion of Heterogeneous Auxiliary Information for Multimodal Recommendation Multimodal graph contrastive learning for multimedia-based recommendation,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:47:54.117614Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation f40af280-1a57-4bfb-89bb-d18931ae5cc9 · outbound

This paper cites Space: Self- supervised dual preference enhancing network for multimodal recommen- dation,.

SLIF-MR: Self-loop Iterative Fusion of Heterogeneous Auxiliary Information for Multimodal Recommendation Space: Self- supervised dual preference enhancing network for multimodal recommen- dation,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:47:53.915013Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation cb99c0e8-0b22-4a74-9eac-bd4b46e4a264 · outbound

This paper cites A survey on recommender systems using graph neural network,.

SLIF-MR: Self-loop Iterative Fusion of Heterogeneous Auxiliary Information for Multimodal Recommendation A survey on recommender systems using graph neural network,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:47:53.753108Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation f1ea0cf2-5c1b-4886-b277-3f525eb4574a · outbound

This paper cites EditKG: Editing knowledge graph for recommendation,.

SLIF-MR: Self-loop Iterative Fusion of Heterogeneous Auxiliary Information for Multimodal Recommendation EditKG: Editing knowledge graph for recommendation,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:47:53.668743Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 96ea0876-610a-4681-b438-6e7c4c62b1a2 · outbound

This paper cites Relation pruning and discriminative sampling over knowledge graph for long-tail recommendation,.

SLIF-MR: Self-loop Iterative Fusion of Heterogeneous Auxiliary Information for Multimodal Recommendation Relation pruning and discriminative sampling over knowledge graph for long-tail recommendation,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:47:53.479020Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation d05acc7a-a807-4398-9e75-754e69a217ec · outbound

This paper cites Knowledge distillation dealing with sample-wise long-tail problem,.

SLIF-MR: Self-loop Iterative Fusion of Heterogeneous Auxiliary Information for Multimodal Recommendation Knowledge distillation dealing with sample-wise long-tail problem,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:47:53.317577Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 64c13129-40bd-4cc1-b37e-a0c528e5db87 · outbound

This paper cites Do we really need to drop items with missing modalities in multimodal recom- mendation?.

SLIF-MR: Self-loop Iterative Fusion of Heterogeneous Auxiliary Information for Multimodal Recommendation Do we really need to drop items with missing modalities in multimodal recom- mendation?

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:47:53.102224Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation d0f3ce8f-3cd2-4d97-a9ca-2dbaf2c5be3d · outbound

This paper cites Improving multi-modal recommender systems by denoising and aligning multi-modal content and user feedback,.

SLIF-MR: Self-loop Iterative Fusion of Heterogeneous Auxiliary Information for Multimodal Recommendation Improving multi-modal recommender systems by denoising and aligning multi-modal content and user feedback,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:47:52.902153Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 198d152c-2697-463e-8f19-6d67546bfcc8 · outbound

This paper cites Multimodal recommender systems: A survey,.

SLIF-MR: Self-loop Iterative Fusion of Heterogeneous Auxiliary Information for Multimodal Recommendation Multimodal recommender systems: A survey,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:47:52.708745Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 6c950ab1-2dbe-4dff-aa82-f43fc4ad20c6 · outbound

This paper cites Multi-modal knowledge graphs for recommender systems,.

SLIF-MR: Self-loop Iterative Fusion of Heterogeneous Auxiliary Information for Multimodal Recommendation Multi-modal knowledge graphs for recommender systems,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:47:52.564512Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation d2ad7712-ceee-4d23-aaf5-8b2f410e23b0 · outbound

This paper cites Automatic hypergraph generation for enhancing recommendation with sparse optimization,.

SLIF-MR: Self-loop Iterative Fusion of Heterogeneous Auxiliary Information for Multimodal Recommendation Automatic hypergraph generation for enhancing recommendation with sparse optimization,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:47:52.420729Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation bb513037-7c31-41d7-8a82-4193e620ea9a · outbound

This paper cites KGAT: Knowledge graph attention network for recommendation,.

SLIF-MR: Self-loop Iterative Fusion of Heterogeneous Auxiliary Information for Multimodal Recommendation KGAT: Knowledge graph attention network for recommendation,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:47:52.280861Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 4d2c1355-c54c-47c8-bcf1-1b0f34d266de · outbound

This paper cites UltraGCN: Ultra simplification of graph convolutional networks for recommendation,.

SLIF-MR: Self-loop Iterative Fusion of Heterogeneous Auxiliary Information for Multimodal Recommendation UltraGCN: Ultra simplification of graph convolutional networks for recommendation,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:47:52.126982Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 69ccd679-2d9c-4241-bca3-f5fcaeef9e21 · outbound

This paper cites A tale of two graphs: Freezing and denoising graph structures for multimodal recommendation,.

SLIF-MR: Self-loop Iterative Fusion of Heterogeneous Auxiliary Information for Multimodal Recommendation A tale of two graphs: Freezing and denoising graph structures for multimodal recommendation,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:47:51.932791Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 22c5b045-24f6-443f-a14a-fe7ef416b16e · outbound

This paper cites Attention-guided multi-step fusion: A hierarchical fusion network for multimodal recommendation,.

SLIF-MR: Self-loop Iterative Fusion of Heterogeneous Auxiliary Information for Multimodal Recommendation Attention-guided multi-step fusion: A hierarchical fusion network for multimodal recommendation,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:47:51.799165Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 8a8cbacd-ff16-46cd-9ca5-54e3d7cd87d2 · outbound

This paper cites Mining latent structures for multimedia recommendation,.

SLIF-MR: Self-loop Iterative Fusion of Heterogeneous Auxiliary Information for Multimodal Recommendation Mining latent structures for multimedia recommendation,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:47:51.653430Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation aea283c2-9a93-4ea0-a367-76a71e89ef23 · outbound

This paper cites Who to align with: Feedback-oriented multi-modal alignment in recommendation systems,.

SLIF-MR: Self-loop Iterative Fusion of Heterogeneous Auxiliary Information for Multimodal Recommendation Who to align with: Feedback-oriented multi-modal alignment in recommendation systems,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:47:51.494100Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation a067de52-b1ca-42ef-bb3e-4de4bbb8a0b3 · outbound

This paper cites Kb4rec: A data set for linking knowledge bases with recommender systems,.

SLIF-MR: Self-loop Iterative Fusion of Heterogeneous Auxiliary Information for Multimodal Recommendation Kb4rec: A data set for linking knowledge bases with recommender systems,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:47:51.336832Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation b408f557-a278-48c7-84be-ef50681e343d · outbound

This paper cites Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks.

SLIF-MR: Self-loop Iterative Fusion of Heterogeneous Auxiliary Information for Multimodal Recommendation Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-06T17:47:48.137902Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 850ebb5d-eae8-4bc6-a0b8-22cc3d6d4945 · outbound

This paper cites Deep residual learning for image recognition,.

SLIF-MR: Self-loop Iterative Fusion of Heterogeneous Auxiliary Information for Multimodal Recommendation Deep residual learning for image recognition,

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-06T17:47:48.162773Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bf825c72-1eaf-448f-94f7-92c7396fc7ee · outbound

This paper cites Learning hybrid behavior patterns for multimedia recommendation,.

SLIF-MR: Self-loop Iterative Fusion of Heterogeneous Auxiliary Information for Multimodal Recommendation Learning hybrid behavior patterns for multimedia recommendation,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:47:51.168917Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 945fa696-e71c-40ec-8942-3cd976ecf870 · outbound

This paper cites BPR: Bayesian Personalized Ranking from Implicit Feedback.

SLIF-MR: Self-loop Iterative Fusion of Heterogeneous Auxiliary Information for Multimodal Recommendation BPR: Bayesian Personalized Ranking from Implicit Feedback

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-06T17:47:48.351897Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d751d514-8e09-4bff-ab18-986e4fdc7e57 · outbound

This paper cites Bootstrap latent representations for multi-modal recommendation,.

SLIF-MR: Self-loop Iterative Fusion of Heterogeneous Auxiliary Information for Multimodal Recommendation Bootstrap latent representations for multi-modal recommendation,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:47:50.982381Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation c5cc2bde-f91b-473d-a575-e1ca127057fe · outbound

This paper cites DiffMM: Multi- modal diffusion model for recommendation,.

SLIF-MR: Self-loop Iterative Fusion of Heterogeneous Auxiliary Information for Multimodal Recommendation DiffMM: Multi- modal diffusion model for recommendation,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:47:50.779422Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 3a474cb4-a331-4ecc-8d8a-ce8604909256 · outbound

This paper cites Knowledge graph contrastive learning for recommendation,.

SLIF-MR: Self-loop Iterative Fusion of Heterogeneous Auxiliary Information for Multimodal Recommendation Knowledge graph contrastive learning for recommendation,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:47:50.627374Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 9588ce71-4091-4bb1-bade-2cdaea4c6143 · outbound

This paper cites Learning intents behind interactions with knowledge graph for recommendation,.

SLIF-MR: Self-loop Iterative Fusion of Heterogeneous Auxiliary Information for Multimodal Recommendation Learning intents behind interactions with knowledge graph for recommendation,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:47:50.454796Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 2dd19907-2bfb-4950-88b8-1597491c46a5 · outbound

This paper cites Knowledge- adaptive contrastive learning for recommendation,.

SLIF-MR: Self-loop Iterative Fusion of Heterogeneous Auxiliary Information for Multimodal Recommendation Knowledge- adaptive contrastive learning for recommendation,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:47:50.132688Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation e5510993-990f-4315-822c-828c2235ab53 · outbound

This paper cites Knowledge graph self-supervised rationalization for recommendation,.

SLIF-MR: Self-loop Iterative Fusion of Heterogeneous Auxiliary Information for Multimodal Recommendation Knowledge graph self-supervised rationalization for recommendation,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:47:49.893274Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 45bbd46c-4b79-4849-8810-d31ec9d456c9 · outbound

This paper cites Knowledge-refined denoising network for robust recommendation,.

SLIF-MR: Self-loop Iterative Fusion of Heterogeneous Auxiliary Information for Multimodal Recommendation Knowledge-refined denoising network for robust recommendation,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:47:49.732209Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 9459a0ed-3b63-4965-bece-da569324e89d · outbound

This paper cites DiffKG: Knowledge graph diffusion model for recommendation,.

SLIF-MR: Self-loop Iterative Fusion of Heterogeneous Auxiliary Information for Multimodal Recommendation DiffKG: Knowledge graph diffusion model for recommendation,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:47:49.546098Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Pith citing papers

No inbound Pith citation observations are available.