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Paper Citation Record · LEDGER

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

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2403.10667.

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

pith.paper-citation-record.v1
2403.10667 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T23:49:14.711537Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T10:16:55.650000Z

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 99ab3620-80d8-46bf-8b4d-fdf59d285e62 · inbound

SelfElicit: Your Language Model Secretly Knows Where is the Relevant Evidence cites this paper.

SelfElicit: Your Language Model Secretly Knows Where is the Relevant Evidence Towards Unified Multi-Modal Personalization: Large Vision-Language Models for Generative Recommendation and Beyond

Reference 61

Resolution
unresolved
no resolver link, observed 2026-08-07T23:49:14.711537Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T23:49:14.711537Z digest=sha256:59733a81e742baf3c082d3060ac00ada02857722d87244def657454b7c0ebf1b

Observation 6f162a39-8944-4817-a131-6e332222f85e · inbound

Coloring Between the Lines: Personalization in the Null Space of Planning Constraints cites this paper.

Coloring Between the Lines: Personalization in the Null Space of Planning Constraints Towards Unified Multi-Modal Personalization: Large Vision-Language Models for Generative Recommendation and Beyond

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-07T15:19:45.665855Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:19:45.665855Z digest=sha256:7a3af8ceac0642c229a37d929f5af9c338e73228a4fe275717d3d11f1934457e

Observation 2367c1d8-09ca-4ca4-a527-d2b42298960a · inbound

Breaking Silos: Adaptive Model Fusion Unlocks Better Time Series Forecasting cites this paper.

Breaking Silos: Adaptive Model Fusion Unlocks Better Time Series Forecasting Towards Unified Multi-Modal Personalization: Large Vision-Language Models for Generative Recommendation and Beyond

Reference 77

Resolution
unresolved
no resolver link, observed 2026-08-07T14:34:58.848362Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:34:58.848362Z digest=sha256:5e7fef776058e7223b7c6ab9f0a3f61c71e4db021b936bc0c0c2c9df5725be85

Observation d3184d47-4458-4c9a-8ac9-b187991083bd · inbound

Temporal Interest-Driven Multimodal Personalized Content Generation cites this paper.

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T10:16:55.422924Z digest=sha256:7bacdd6e8017c61bfefc4a97be86c0bfb58b37a1a17b87aae485062d218bc182