Paper Citation Record · LEDGER

Temporal Interest-Driven Multimodal Personalized Content Generation

As of 16 August 2026, this Paper Citation Record lists 18 of 18 outbound references and 0 inbound Pith citation observations for arXiv:2509.04330.

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

pith.paper-citation-record.v1
2509.04330 v1

Coverage vector

measured 18 of 18 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T10:16:55.526615Z

measured 18 of 18 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 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

18 of 18 outbound references displayed

verified exact2
verified fuzzy15
unresolved1
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 3564f4d8-dbfd-43ae-b125-b4ba9e05c613 · outbound

This paper cites Multimodal Recommendation Systems in the LLM Era: A Survey of Feature Representation and Fusion Methods,.

Temporal Interest-Driven Multimodal Personalized Content Generation Multimodal Recommendation Systems in the LLM Era: A Survey of Feature Representation and Fusion Methods,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T10:16:57.633171Z

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 d5a3349b-0981-49bc-95e4-90d9b14933d1 · outbound

This paper cites Personalized Recommendation Systems Based on Multi-Source Heterogeneous Data,.

Temporal Interest-Driven Multimodal Personalized Content Generation Personalized Recommendation Systems Based on Multi-Source Heterogeneous Data,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T10:16:57.525263Z

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 64c20900-2831-4e17-8008-4069adb95657 · outbound

This paper cites Modality-Aware Diffusion Augmentation with Consistent Subspace Disentanglement for Session-based Recommendation,.

Temporal Interest-Driven Multimodal Personalized Content Generation Modality-Aware Diffusion Augmentation with Consistent Subspace Disentanglement for Session-based Recommendation,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T10:16:57.429589Z

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 03d78570-e6ac-4ab8-8c3d-3f06a64d5652 · outbound

This paper cites Point-of-Interest Recommendations and Large Language Models: A Powerful Combination,.

Temporal Interest-Driven Multimodal Personalized Content Generation Point-of-Interest Recommendations and Large Language Models: A Powerful Combination,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T10:16:57.314522Z

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 a260d5f7-c621-4559-8521-09d1acd1c45e · outbound

This paper cites A Framework for Adaptive Learning and Context- Aware Knowledge Enhancement: An Art Education System Based on DeepSeek,.

Temporal Interest-Driven Multimodal Personalized Content Generation A Framework for Adaptive Learning and Context- Aware Knowledge Enhancement: An Art Education System Based on DeepSeek,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T10:16:57.210257Z

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 6eb2cdd3-2146-4494-8022-f72fad993192 · outbound

This paper cites Where to Go Next: Modeling Long- and Short-Term User Preferences for Point-of-Interest Recommendation,.

Temporal Interest-Driven Multimodal Personalized Content Generation Where to Go Next: Modeling Long- and Short-Term User Preferences for Point-of-Interest Recommendation,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T10:16:57.107087Z

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 68d3b3f9-c83d-4121-8ffc-0b533b550233 · outbound

This paper cites Personalized long-and short-term preference learning for next POI recommendation,.

Temporal Interest-Driven Multimodal Personalized Content Generation Personalized long-and short-term preference learning for next POI recommendation,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T10:16:56.979873Z

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 a99d037c-0157-42d2-9be5-2abc5bee7c8e · outbound

This paper cites M5: Multi-Modal Multi-Interest Multi-Scenario Matching for Over-the-Top Recommendation,.

Temporal Interest-Driven Multimodal Personalized Content Generation M5: Multi-Modal Multi-Interest Multi-Scenario Matching for Over-the-Top Recommendation,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T10:16:56.854593Z

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 86d6c029-82aa-43a6-9673-9c162cedad86 · outbound

This paper cites Multimodal recommender systems: A survey,.

Temporal Interest-Driven Multimodal Personalized Content Generation Multimodal recommender systems: A survey,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T10:16:56.720379Z

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 58079525-cc50-4666-b21d-0a4967f2fa54 · outbound

This paper cites Quantization as a Foundation for Deployable High Performance Diffusion Models within the Landscape of Large Scale Generative AI,.

Temporal Interest-Driven Multimodal Personalized Content Generation Quantization as a Foundation for Deployable High Performance Diffusion Models within the Landscape of Large Scale Generative AI,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T10:16:56.565852Z

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 630c25fe-0503-4d9e-874f-3b0e0d2f494d · outbound

This paper cites Leveraging multimodal large language model for multimodal sequential recommendation,.

Temporal Interest-Driven Multimodal Personalized Content Generation Leveraging multimodal large language model for multimodal sequential recommendation,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T10:16:56.444524Z

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 65f19d13-30b4-4220-b037-bc151cc7daaf · outbound

This paper cites Multimodal fusion framework based on knowledge graph for personalized recommendation,.

Temporal Interest-Driven Multimodal Personalized Content Generation Multimodal fusion framework based on knowledge graph for personalized recommendation,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T10:16:56.276277Z

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 05e7b932-cae9-42b1-ba96-4d9b349457a8 · outbound

This paper cites Generate, Not Recommend.

Temporal Interest-Driven Multimodal Personalized Content Generation Generate, Not Recommend

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T10:16:57.759007Z

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 a08e068d-c812-45cd-9380-0a2385e141e0 · outbound

This paper cites MISSRec: Pre-training and Transferring Multi-modal Interest-aware Sequence Representation for Recommendation,.

Temporal Interest-Driven Multimodal Personalized Content Generation MISSRec: Pre-training and Transferring Multi-modal Interest-aware Sequence Representation for Recommendation,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T10:16:56.151561Z

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 45d71122-d680-410e-96ec-0caf4577dc8a · outbound

This paper cites PMG: Personalized Multimodal Generation with Large Language Models,.

Temporal Interest-Driven Multimodal Personalized Content Generation PMG: Personalized Multimodal Generation with Large Language Models,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T10:16:56.019366Z

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 c0e74198-5b4f-4342-a80a-978a91966379 · outbound

This paper cites Generate, Not Recommend: Personalized Multimodal Content Generation.

Temporal Interest-Driven Multimodal Personalized Content Generation Generate, Not Recommend: Personalized Multimodal Content Generation

Reference 16

Resolution: verified exact; local_arxiv, observed 2026-08-05T10:16:55.869974Z

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 d3184d47-4458-4c9a-8ac9-b187991083bd · outbound

This paper cites Towards Unified Multi-Modal Personalization: Large Vision-Language Models for Generative Recommendation and Beyond.

Temporal Interest-Driven Multimodal Personalized Content Generation Towards Unified Multi-Modal Personalization: Large Vision-Language Models for Generative Recommendation and Beyond

Reference 17

Resolution: verified exact; local_arxiv, observed 2026-08-05T10:16:55.707490Z

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 d1d4c04b-f9cc-47bc-bffd-601894b83ab7 · outbound

This paper cites Personalized Generation In Large Model Era: A Survey.

Temporal Interest-Driven Multimodal Personalized Content Generation Personalized Generation In Large Model Era: A Survey

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-05T10:16:55.526615Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.