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Paper Citation Record · LEDGER

A Survey on Multimodal Recommender Systems: Recent Advances and Future Directions

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2502.15711.

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

pith.paper-citation-record.v1
2502.15711 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 8 of 8 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:01:34.084440Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T03:37:36.125811Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 0b981af5-dbdb-40a0-8716-7a29c53e1322 · inbound

MDVT: Enhancing Multimodal Recommendation with Model-Agnostic Multimodal-Driven Virtual Triplets cites this paper.

MDVT: Enhancing Multimodal Recommendation with Model-Agnostic Multimodal-Driven Virtual Triplets A Survey on Multimodal Recommender Systems: Recent Advances and Future Directions

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-07T15:01:34.084440Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:01:34.084440Z digest=sha256:55d2fde4c33fe6057e754e2a49ed01e39abcc49075b7c9cf42088778ea8147a7

Observation cb01c9be-520e-465d-a783-59fa691153b4 · inbound

NLGCL: Naturally Existing Neighbor Layers Graph Contrastive Learning for Recommendation cites this paper.

NLGCL: Naturally Existing Neighbor Layers Graph Contrastive Learning for Recommendation A Survey on Multimodal Recommender Systems: Recent Advances and Future Directions

Reference 49

Resolution
unresolved
no resolver link, observed 2026-08-06T18:44:36.424129Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:44:36.424129Z digest=sha256:215c7c5c90c6a38b16cb790267e5988fd2dbc285c7664d52d7e8113457569701

Observation a21b989d-0937-4632-8a90-79c55b1bc5cb · inbound

The Best is Yet to Come: Graph Convolution in the Testing Phase for Multimodal Recommendation cites this paper.

The Best is Yet to Come: Graph Convolution in the Testing Phase for Multimodal Recommendation A Survey on Multimodal Recommender Systems: Recent Advances and Future Directions

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-06T14:36:54.128959Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:36:54.128959Z digest=sha256:2be4a21eef01912e29b08ee22b629d13355827d81f6eb5086771750bd4f53a63

Observation e1789efc-c959-4967-a8c2-107a8914a773 · inbound

RecGOAT: Graph Optimal Adaptive Transport for LLM-Enhanced Multimodal Recommendation with Dual Semantic Alignment cites this paper.

RecGOAT: Graph Optimal Adaptive Transport for LLM-Enhanced Multimodal Recommendation with Dual Semantic Alignment A Survey on Multimodal Recommender Systems: Recent Advances and Future Directions

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-03T06:01:38.579496Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T06:01:38.579496Z digest=sha256:17e3c1ec1e35d482dfafe0ab46d1f8d019f833cffba068cabd204b0f1731406f

Observation 118cd7bf-cd82-41d4-9e5d-98072f748dc4 · inbound

TRU: Targeted Reverse Update for Efficient Multimodal Recommendation Unlearning cites this paper.

TRU: Targeted Reverse Update for Efficient Multimodal Recommendation Unlearning A Survey on Multimodal Recommender Systems: Recent Advances and Future Directions

Reference 29

Resolution
verified exact
arxiv_id, observed 2026-05-13T21:08:16.999488Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-13T21:08:04.309025Z digest=sha256:88836ec4f8cfe0300b2eaf84b074b145adb44a4299f63c81748e91d21a6c4a38

Observation eed4032b-45c8-4d63-9e9a-ce2031cf76f0 · inbound

Discrete Preference Learning for Personalized Multimodal Generation cites this paper.

Discrete Preference Learning for Personalized Multimodal Generation A Survey on Multimodal Recommender Systems: Recent Advances and Future Directions

Reference 57

Resolution
verified exact
arxiv_id, observed 2026-05-09T23:29:43.949619Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-09T23:28:13.498662Z digest=sha256:5e2828169c97c7a60446322bd00a20b936a122bdf860cd25cb5e802e4a61e992

Observation 651025ad-98b1-466e-9677-78a1ad2d26ea · inbound

Text-Guided Visual Representation Learning for Robust Multimodal E-Commerce Recommendation cites this paper.

Text-Guided Visual Representation Learning for Robust Multimodal E-Commerce Recommendation A Survey on Multimodal Recommender Systems: Recent Advances and Future Directions

Reference 30

Resolution
verified exact
arxiv_id, observed 2026-05-19T23:12:51.706669Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-19T23:08:33.010725Z digest=sha256:408a586ea4cfc095165fd2458b0d9bc6387bcc43afe32e5c411ebf60bf59bcc2

Observation 2edcd7e5-b32a-4b38-965f-c47c599abd93 · inbound

Teach Multimodal Recommendation Model to See via Personalized Visual Extraction and Adaptive Learning cites this paper.

Teach Multimodal Recommendation Model to See via Personalized Visual Extraction and Adaptive Learning A Survey on Multimodal Recommender Systems: Recent Advances and Future Directions

Reference 37

Resolution
verified exact
arxiv_id, observed 2026-07-03T03:37:36.127066Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-27T14:57:46.244573Z digest=sha256:bcd85e5778785732805cf28f78d46f94cda01247dd4fe4abe43072e9a3b0e6dd