Paper Citation Record · LEDGER

NoteLLM-2: Multimodal Large Representation Models for Recommendation

As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 11 inbound Pith citation observations for arXiv:2405.16789.

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

pith.paper-citation-record.v1
2405.16789 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 11 of 11 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 11 of 11 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T14:02:28.773332Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-25T07:26:42.078656Z

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 a06ba546-136f-4fd7-a5e4-ed8074395b15 · inbound

ScalingNote: Scaling up Retrievers with Large Language Models for Real-World Dense Retrieval cites this paper.

ScalingNote: Scaling up Retrievers with Large Language Models for Real-World Dense Retrieval NoteLLM-2: Multimodal Large Representation Models for Recommendation

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-12T14:02:28.773332Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6c8eea55-f8ec-490d-9e09-3c788fa5536e · inbound

Large Language Model Enhanced Recommender Systems: A Survey cites this paper.

Large Language Model Enhanced Recommender Systems: A Survey NoteLLM-2: Multimodal Large Representation Models for Recommendation

Reference 102

Resolution: unresolved; no resolver link, observed 2026-08-11T13:11:48.835518Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a4a1837e-0068-4e34-adb5-6f9b5e2397a3 · inbound

Semantic Convergence: Harmonizing Recommender Systems via Two-Stage Alignment and Behavioral Semantic Tokenization cites this paper.

Semantic Convergence: Harmonizing Recommender Systems via Two-Stage Alignment and Behavioral Semantic Tokenization NoteLLM-2: Multimodal Large Representation Models for Recommendation

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-11T12:53:22.487024Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3c853ed4-64c7-42f7-9686-c1f733c27e86 · inbound

Cold-Start Recommendation towards the Era of Large Language Models (LLMs): A Comprehensive Survey and Roadmap cites this paper.

Cold-Start Recommendation towards the Era of Large Language Models (LLMs): A Comprehensive Survey and Roadmap NoteLLM-2: Multimodal Large Representation Models for Recommendation

Reference 255

Resolution: unresolved; no resolver link, observed 2026-08-10T22:17:38.859447Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation be9e6f38-c610-4e59-869c-60cdcce966a5 · inbound

Improve Multi-Modal Embedding Learning via Explicit Hard Negative Gradient Amplifying cites this paper.

Improve Multi-Modal Embedding Learning via Explicit Hard Negative Gradient Amplifying NoteLLM-2: Multimodal Large Representation Models for Recommendation

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-07T13:18:46.934462Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ccca9dbe-cde2-45b6-8c52-1bafeb80325b · inbound

VRAgent-R1: Boosting Video Recommendation with MLLM-based Agents via Reinforcement Learning cites this paper.

VRAgent-R1: Boosting Video Recommendation with MLLM-based Agents via Reinforcement Learning NoteLLM-2: Multimodal Large Representation Models for Recommendation

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-06T20:29:40.285507Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 20e8082f-f833-4cbe-99e6-4dc2ff5da635 · inbound

GR-LLMs: Recent Advances in Generative Recommendation Based on Large Language Models cites this paper.

GR-LLMs: Recent Advances in Generative Recommendation Based on Large Language Models NoteLLM-2: Multimodal Large Representation Models for Recommendation

Reference 85

Resolution: unresolved; no resolver link, observed 2026-08-06T19:06:07.477933Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d178cd06-1b4f-47b8-ae98-056e1c839718 · inbound

RecoWorld: Building Simulated Environments for Agentic Recommender Systems cites this paper.

RecoWorld: Building Simulated Environments for Agentic Recommender Systems NoteLLM-2: Multimodal Large Representation Models for Recommendation

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-04T17:56:38.883489Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 86c8d3c2-7555-4cae-bfae-aa6b103bbe9f · inbound

Exploring the Capabilities of Large Language Model Encoders for Image-Text Retrieval in Chest X-rays cites this paper.

Exploring the Capabilities of Large Language Model Encoders for Image-Text Retrieval in Chest X-rays NoteLLM-2: Multimodal Large Representation Models for Recommendation

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-04T16:33:16.014946Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9b661dd5-20ad-4c7e-85f2-467947f10882 · inbound

BlossomRec: Block-level Fused Sparse Attention Mechanism for Sequential Recommendations cites this paper.

BlossomRec: Block-level Fused Sparse Attention Mechanism for Sequential Recommendations NoteLLM-2: Multimodal Large Representation Models for Recommendation

Reference 70

Resolution: verified exact; arxiv_id, observed 2026-05-25T07:26:42.081226Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 5ffa9252-0a93-48aa-8517-afff8665c0fc · inbound

TimeMM: Time-as-Operator Spectral Filtering for Dynamic Multimodal Recommendation cites this paper.

TimeMM: Time-as-Operator Spectral Filtering for Dynamic Multimodal Recommendation NoteLLM-2: Multimodal Large Representation Models for Recommendation

Reference 98

Resolution: verified exact; arxiv_id, observed 2026-05-12T09:06:26.085461Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.