Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Fine-tuning Multimodal Large Language Models for Product Bundling
As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2407.11712.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-12T10:35:14.056635Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-03T16:18:37.590923Z
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 395404e7-8caf-4bda-834a-5ca7c311286c · inbound
Headache to Overstock? Promoting Long-tail Items through Debiased Product Bundling cites this paper.
Headache to Overstock? Promoting Long-tail Items through Debiased Product Bundling Fine-tuning Multimodal Large Language Models for Product Bundling
Reference 2024
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T10:35:14.056635Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9fb46937-ec46-46f4-a376-39e42c25341b · inbound
LLMs in Software Security: A Survey of Vulnerability Detection Techniques and Insights cites this paper.
LLMs in Software Security: A Survey of Vulnerability Detection Techniques and Insights Fine-tuning Multimodal Large Language Models for Product Bundling
Reference 72
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T13:58:13.949500Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5b83a36d-dcfd-41b2-a98a-8fdad752d5a8 · inbound
CFALR: Collaborative Filtering-Augmented Large Language Model for Personalized Fashion Outfit Recommendation cites this paper.
CFALR: Collaborative Filtering-Augmented Large Language Model for Personalized Fashion Outfit Recommendation Fine-tuning Multimodal Large Language Models for Product Bundling
Reference 31
- Resolution
- verified exact
- arxiv_id, observed 2026-07-03T16:18:37.592510Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.