Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Read and Think: An Efficient Step-wise Multimodal Language Model for Document Understanding and Reasoning
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2403.00816.
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 2026-08-08T06:32:00.761636+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-05T23:35:24.850312Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-11T21:11:15.380295Z
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 62327dcb-40d3-49b5-9c7d-b367369e0bd4 · inbound
Finding Needles in Images: Can Multimodal LLMs Locate Fine Details? cites this paper.
Finding Needles in Images: Can Multimodal LLMs Locate Fine Details? Read and Think: An Efficient Step-wise Multimodal Language Model for Document Understanding and Reasoning
Reference 48
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T23:35:24.850312Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e68c01ca-211e-42cd-8849-d243b58424b9 · inbound
ShredBench: Evaluating the Semantic Reasoning Capabilities of Multimodal LLMs in Document Reconstruction cites this paper.
ShredBench: Evaluating the Semantic Reasoning Capabilities of Multimodal LLMs in Document Reconstruction Read and Think: An Efficient Step-wise Multimodal Language Model for Document Understanding and Reasoning
Reference 28
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T21:11:15.394692Z
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.