Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Jointly Training Large Autoregressive Multimodal Models
As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2309.15564.
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 2026-08-16T06:30:59.297886+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-11T11:37:10.936279Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-18T02:48:45.050689Z
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 8da64dc5-3854-49b7-b64f-92c65355871a · inbound
A Survey on Multimodal Large Language Models cites this paper.
A Survey on Multimodal Large Language Models Jointly Training Large Autoregressive Multimodal Models
Reference 150
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-16T02:56:41.974854Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 4505b17c-6b11-4056-8c18-46ef0625ef0c · inbound
World Model on Million-Length Video And Language With Blockwise RingAttention cites this paper.
World Model on Million-Length Video And Language With Blockwise RingAttention Jointly Training Large Autoregressive Multimodal Models
Reference 1
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-16T06:36:57.192118Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation b0f46758-28f4-40c3-a7a9-22b78f9e9440 · inbound
Mixture-of-Transformers: A Sparse and Scalable Architecture for Multi-Modal Foundation Models cites this paper.
Mixture-of-Transformers: A Sparse and Scalable Architecture for Multi-Modal Foundation Models Jointly Training Large Autoregressive Multimodal Models
Reference 2
- Resolution
- verified exact
- arxiv_id, observed 2026-05-18T02:48:45.053857Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 2357e8fc-cbdd-4e4d-9800-22e685329399 · inbound
LMFusion: Adapting Pretrained Language Models for Multimodal Generation cites this paper.
LMFusion: Adapting Pretrained Language Models for Multimodal Generation Jointly Training Large Autoregressive Multimodal Models
Reference 1
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T11:37:10.936279Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7995a156-2e3a-4c6e-94dc-b93968af9f64 · inbound
Harmonizing and Merging Source Models for CLIP-based Domain Generalization cites this paper.
Harmonizing and Merging Source Models for CLIP-based Domain Generalization Jointly Training Large Autoregressive Multimodal Models
Reference 43
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T04:56:15.798393Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.