Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Aligning Multimodal LLM with Human Preference: A Survey
As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2503.14504.
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 2026-08-09T06:31:02.800959+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T04:52:01.059886Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-07T06:16:28.064256Z
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 ae10a950-dd6d-4750-8f32-c8a6a6838023 · inbound
A Call for Collaborative Intelligence: Why Human-Agent Systems Should Precede AI Autonomy cites this paper.
A Call for Collaborative Intelligence: Why Human-Agent Systems Should Precede AI Autonomy Aligning Multimodal LLM with Human Preference: A Survey
Reference 103
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T04:52:01.059886Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 75702517-55da-49a3-ac2e-33557926a1fc · inbound
Too Human to Model:The Uncanny Valley of LLMs in Social Simulation -- When Generative Language Agents Misalign with Modelling Principles cites this paper.
Too Human to Model:The Uncanny Valley of LLMs in Social Simulation -- When Generative Language Agents Misalign with Modelling Principles Aligning Multimodal LLM with Human Preference: A Survey
Reference 46
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-08-06T19:11:24.054463Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 07ce22ed-67ec-4289-b793-1f5025bbacff · inbound
AI-Generated Content in Cross-Domain Applications: Research Trends, Challenges and Propositions cites this paper.
AI-Generated Content in Cross-Domain Applications: Research Trends, Challenges and Propositions Aligning Multimodal LLM with Human Preference: A Survey
Reference 129
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T17:04:39.271148Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.