Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
WeThink: Toward General-purpose Vision-Language Reasoning via Reinforcement Learning
As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2506.07905.
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 2026-08-06T06:34:29.942622+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-06T13:57:07.475851Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-04T10:39:46.104997Z
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 db245629-0bcf-49c4-9b7c-5aa648952409 · inbound
Interpretable Open-Vocabulary Referring Object Detection with Reverse Contrast Attention cites this paper.
Interpretable Open-Vocabulary Referring Object Detection with Reverse Contrast Attention WeThink: Toward General-purpose Vision-Language Reasoning via Reinforcement Learning
Reference 29
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T13:57:07.475851Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 81f9e82d-4567-4976-9de0-b0ba9a4a3bb7 · inbound
MathReal: We Keep It Real! A Real Scene Benchmark for Evaluating Math Reasoning in Multimodal Large Language Models cites this paper.
MathReal: We Keep It Real! A Real Scene Benchmark for Evaluating Math Reasoning in Multimodal Large Language Models WeThink: Toward General-purpose Vision-Language Reasoning via Reinforcement Learning
Reference 63
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T23:03:10.158919Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 48e25eed-7b27-47cf-834e-9b44876c6c93 · inbound
The Landscape of Agentic Reinforcement Learning for LLMs: A Survey cites this paper.
The Landscape of Agentic Reinforcement Learning for LLMs: A Survey WeThink: Toward General-purpose Vision-Language Reasoning via Reinforcement Learning
Reference 238
- Resolution
- verified exact
- arxiv_id, observed 2026-05-18T19:21:48.853224Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 0664b863-da57-4521-b0a4-9e6706ad160d · inbound
$M^3-Verse$: A "Spot the Difference" Challenge for Large Multimodal Models cites this paper.
$M^3-Verse$: A "Spot the Difference" Challenge for Large Multimodal Models WeThink: Toward General-purpose Vision-Language Reasoning via Reinforcement Learning
Reference 36
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T14:57:29.176406Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c6b81be2-5b5c-4e7c-a979-e9098ce6c857 · inbound
DR-MMSearchAgent: Deepening Reasoning in Multimodal Search Agents cites this paper.
DR-MMSearchAgent: Deepening Reasoning in Multimodal Search Agents WeThink: Toward General-purpose Vision-Language Reasoning via Reinforcement Learning
Reference 75
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T12:31:07.983014Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 6983eb48-fcc7-4ed4-9e77-1de6f3922bfd · inbound
From Seeing to Thinking: Decoupling Perception and Reasoning Improves Post-Training of Vision-Language Models cites this paper.
From Seeing to Thinking: Decoupling Perception and Reasoning Improves Post-Training of Vision-Language Models WeThink: Toward General-purpose Vision-Language Reasoning via Reinforcement Learning
Reference 25
- Resolution
- verified exact
- arxiv_id, observed 2026-05-20T05:13:21.563530Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 09b8ffd8-cfb9-4af7-b9d0-3ed26b71c759 · inbound
VeriEvol: Scaling Multimodal Mathematical Reasoning via Verifiable Evol-Instruct cites this paper.
VeriEvol: Scaling Multimodal Mathematical Reasoning via Verifiable Evol-Instruct WeThink: Toward General-purpose Vision-Language Reasoning via Reinforcement Learning
Reference 45
- Resolution
- verified exact
- arxiv_id, observed 2026-07-04T10:39:46.106878Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation a38f450c-7479-419e-a93a-2d14d92ed709 · inbound
Trace: A Taxonomy-Guided Environment for Multidomain Visual Reasoning cites this paper.
Trace: A Taxonomy-Guided Environment for Multidomain Visual Reasoning WeThink: Toward General-purpose Vision-Language Reasoning via Reinforcement Learning
Reference 50
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T11:47:28.164827Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.