Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Fine-tuning Multimodal LLMs to Follow Zero-shot Demonstrative Instructions
As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2308.04152.
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 2026-08-07T11:05:19.405502Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-17T13:48:48.737973Z
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 9b8c2625-e0dd-4836-9b36-f21edba8c619 · inbound
MME: A Comprehensive Evaluation Benchmark for Multimodal Large Language Models cites this paper.
MME: A Comprehensive Evaluation Benchmark for Multimodal Large Language Models Fine-tuning Multimodal LLMs to Follow Zero-shot Demonstrative Instructions
Reference 24
- Resolution
- verified exact
- arxiv_id, observed 2026-05-10T20:25:34.612655Z
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 b2a9dea2-6d23-4c30-ae80-9c3a6e17766e · inbound
InternLM-XComposer: A Vision-Language Large Model for Advanced Text-image Comprehension and Composition cites this paper.
InternLM-XComposer: A Vision-Language Large Model for Advanced Text-image Comprehension and Composition Fine-tuning Multimodal LLMs to Follow Zero-shot Demonstrative Instructions
Reference 44
- Resolution
- verified exact
- arxiv_id, observed 2026-05-17T13:48:48.740728Z
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 af34bcc1-16cc-41c3-ac41-7e8054bfa2de · inbound
LLaVA-OneVision: Easy Visual Task Transfer cites this paper.
LLaVA-OneVision: Easy Visual Task Transfer Fine-tuning Multimodal LLMs to Follow Zero-shot Demonstrative Instructions
Reference 70
- Resolution
- verified exact
- arxiv_id, observed 2026-05-10T14:23:49.618766Z
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 e7821c05-6750-4e3b-91b5-d3fde00a313e · inbound
Evaluating MLLMs with Multimodal Multi-image Reasoning Benchmark cites this paper.
Evaluating MLLMs with Multimodal Multi-image Reasoning Benchmark Fine-tuning Multimodal LLMs to Follow Zero-shot Demonstrative Instructions
Reference 18
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T11:05:19.405502Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a5d08ef2-8fb8-46da-aa02-8e3f1342f3db · inbound
FocusDiff: Advancing Fine-Grained Text-Image Alignment for Autoregressive Visual Generation through RL cites this paper.
FocusDiff: Advancing Fine-Grained Text-Image Alignment for Autoregressive Visual Generation through RL Fine-tuning Multimodal LLMs to Follow Zero-shot Demonstrative Instructions
Reference 22
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T10:23:12.526429Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.