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Paper Citation Record · LEDGER

OThink-MR1: Stimulating multimodal generalized reasoning capabilities via dynamic reinforcement learning

As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2503.16081.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2503.16081 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 8 of 8 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:57:18.965457Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-07-03T05:57:41.656561Z

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 36508b16-20ef-42ec-b01a-99d42dde1a24 · inbound

OCR-Reasoning Benchmark: Unveiling the True Capabilities of MLLMs in Complex Text-Rich Image Reasoning cites this paper.

OCR-Reasoning Benchmark: Unveiling the True Capabilities of MLLMs in Complex Text-Rich Image Reasoning OThink-MR1: Stimulating multimodal generalized reasoning capabilities via dynamic reinforcement learning

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-07T14:57:18.965457Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:57:18.965457Z digest=sha256:0e08f9c29f84ca0c7d86958acc817990fd64921b8a2a348d116d77d0d62fb920

Observation e3910a72-5d91-4557-a04a-c20eb630374f · inbound

Reinforcement Fine-Tuning Powers Reasoning Capability of Multimodal Large Language Models cites this paper.

Reinforcement Fine-Tuning Powers Reasoning Capability of Multimodal Large Language Models OThink-MR1: Stimulating multimodal generalized reasoning capabilities via dynamic reinforcement learning

Reference 122

Resolution
unresolved
no resolver link, observed 2026-08-07T14:31:19.441841Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:31:19.441841Z digest=sha256:4f0cb1fe42c12f5b320e0c5d7e97531f7a4e3dbbc99080d2d35861a2567e2a7e

Observation 5fc15cf8-7aa9-4a9e-8c30-3b2432984ada · inbound

WeThink: Toward General-purpose Vision-Language Reasoning via Reinforcement Learning cites this paper.

WeThink: Toward General-purpose Vision-Language Reasoning via Reinforcement Learning OThink-MR1: Stimulating multimodal generalized reasoning capabilities via dynamic reinforcement learning

Reference 66

Resolution
unresolved
no resolver link, observed 2026-08-07T05:27:05.152302Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:27:05.152302Z digest=sha256:f895031c4f9096a8fee50576d387535e59a43658e722c2def07a6dced2ccdf2f

Observation 0f5e4e9e-3093-48d0-a5bb-64c12784dc1d · inbound

APO: Enhancing Reasoning Ability of MLLMs via Asymmetric Policy Optimization cites this paper.

APO: Enhancing Reasoning Ability of MLLMs via Asymmetric Policy Optimization OThink-MR1: Stimulating multimodal generalized reasoning capabilities via dynamic reinforcement learning

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-06T22:29:28.079295Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:29:28.079295Z digest=sha256:cce5e6e876552390c46628c46861da9ab40787d36d0796408568d453b6812370

Observation d2c639ba-576c-4690-96aa-5dc51cf17fac · inbound

VL-Cogito: Progressive Curriculum Reinforcement Learning for Advanced Multimodal Reasoning cites this paper.

VL-Cogito: Progressive Curriculum Reinforcement Learning for Advanced Multimodal Reasoning OThink-MR1: Stimulating multimodal generalized reasoning capabilities via dynamic reinforcement learning

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-06T11:35:13.696453Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T11:35:13.696453Z digest=sha256:8b073ecd7bf938ef8383c04c557e28e3f8d13a0e065ddcfd5507f99971f91aa3

Observation 2a24beea-1ce0-404b-bbd9-cd74e4475ab6 · inbound

VisReason: A Large-Scale Dataset for Visual Chain-of-Thought Reasoning cites this paper.

VisReason: A Large-Scale Dataset for Visual Chain-of-Thought Reasoning OThink-MR1: Stimulating multimodal generalized reasoning capabilities via dynamic reinforcement learning

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-03T20:57:30.760415Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T20:57:30.760415Z digest=sha256:a1d7686d92f257f362d8f0644cd2bbcadec59bb9c75f90f04a5516f48b905faf

Observation 2748ea3d-c866-4feb-b8d8-16d190a6e93f · inbound

The Periodic Table of LLM Reasoning: A Structured Survey of Reasoning Paradigms, Methods, and Failure Modes cites this paper.

The Periodic Table of LLM Reasoning: A Structured Survey of Reasoning Paradigms, Methods, and Failure Modes OThink-MR1: Stimulating multimodal generalized reasoning capabilities via dynamic reinforcement learning

Reference 158

Resolution
verified exact
arxiv_id, observed 2026-07-03T05:57:41.658029Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-06-27T12:59:51.091008Z digest=sha256:19261c697a41623295bfda5974275683c3fecfa5f39f798cd348c0d47da49a9d

Observation 97e23665-4561-410a-b5b6-79dc273cbb6a · inbound

BVS: Bayesian Visual Search with Multimodal Large Language Model for Fine-grained Perception cites this paper.

BVS: Bayesian Visual Search with Multimodal Large Language Model for Fine-grained Perception OThink-MR1: Stimulating multimodal generalized reasoning capabilities via dynamic reinforcement learning

Reference 248

Resolution
unresolved
no resolver link, observed 2026-07-12T04:17:40.198357Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-12T04:17:40.198357Z digest=sha256:ee604ebadc2b29d8982e4e722db706c3f169eb55efabea2d7b90a2e4bbc4aa3c