Paper Citation Record · LEDGER

Does RLVR Extend Reasoning Boundaries? Investigating Capability Expansion in Vision-Language Models

As of 5 August 2026, this Paper Citation Record lists 18 of 18 outbound references and 0 inbound Pith citation observations for arXiv:2511.00710.

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

pith.paper-citation-record.v1
2511.00710 v4

Coverage vector

measured 18 of 18 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-18T00:59:29.584299Z

measured 18 of 18 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-05T06:32:48.257954+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

18 of 18 outbound references displayed

verified exact12
verified fuzzy6
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 2316059d-5590-43dc-a36c-32534d6de703 · outbound

This paper cites Training language models to follow instructions with human feedback.

Does RLVR Extend Reasoning Boundaries? Investigating Capability Expansion in Vision-Language Models Training language models to follow instructions with human feedback

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T01:00:35.272095Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 1a67c20b-5143-44a7-a37e-93bdb3f72e9c · outbound

This paper cites Proximal Policy Optimization Algorithms.

Does RLVR Extend Reasoning Boundaries? Investigating Capability Expansion in Vision-Language Models Proximal Policy Optimization Algorithms

Reference 2

Resolution: verified exact; local_arxiv, observed 2026-05-18T01:00:34.273634Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 79ab8197-3bf9-4a69-9c4f-efb6e241d782 · outbound

This paper cites DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning.

Does RLVR Extend Reasoning Boundaries? Investigating Capability Expansion in Vision-Language Models DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 3

Resolution: verified exact; local_arxiv, observed 2026-05-18T01:00:34.278151Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation b1788fd3-b179-4b8f-aa42-b86e6ce6c91f · outbound

This paper cites DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models.

Does RLVR Extend Reasoning Boundaries? Investigating Capability Expansion in Vision-Language Models DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models

Reference 4

Resolution: verified exact; local_arxiv, observed 2026-05-18T01:00:34.269351Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation be2d22c2-e302-435b-81e4-3d7679467cb9 · outbound

This paper cites Vision-R1: Incentivizing Reasoning Capability in Multimodal Large Language Models.

Does RLVR Extend Reasoning Boundaries? Investigating Capability Expansion in Vision-Language Models Vision-R1: Incentivizing Reasoning Capability in Multimodal Large Language Models

Reference 5

Resolution: verified exact; local_arxiv, observed 2026-05-18T01:00:34.249459Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation c16e97bd-ee15-4ce7-8ad3-dd9496696245 · outbound

This paper cites VL-Rethinker: Incentivizing Self-Reflection of Vision-Language Models with Reinforcement Learning.

Does RLVR Extend Reasoning Boundaries? Investigating Capability Expansion in Vision-Language Models VL-Rethinker: Incentivizing Self-Reflection of Vision-Language Models with Reinforcement Learning

Reference 6

Resolution: verified exact; local_arxiv, observed 2026-05-18T01:00:34.287514Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation d17eea14-dd59-43cf-83b6-309b72468a2c · outbound

This paper cites Srpo: Enhancing multimodal llm reasoning via reflection-aware rein- forcement learning.arXiv preprint arXiv:2506.01713.

Does RLVR Extend Reasoning Boundaries? Investigating Capability Expansion in Vision-Language Models Srpo: Enhancing multimodal llm reasoning via reflection-aware rein- forcement learning.arXiv preprint arXiv:2506.01713

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-05-18T01:00:34.264169Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 1c220fca-7c23-4a59-9a6d-c52bcdc1890e · outbound

This paper cites AlphaMaze: Enhancing Large Language Models' Spatial Intelligence via GRPO.

Does RLVR Extend Reasoning Boundaries? Investigating Capability Expansion in Vision-Language Models AlphaMaze: Enhancing Large Language Models' Spatial Intelligence via GRPO

Reference 8

Resolution: verified exact; arxiv_id, observed 2026-05-18T01:00:34.259202Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 423bc05a-b91c-47e2-ae9c-44728c60694d · outbound

This paper cites Learning to navigate in complex environments.

Does RLVR Extend Reasoning Boundaries? Investigating Capability Expansion in Vision-Language Models Learning to navigate in complex environments

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T01:00:35.269094Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 07ee29a3-e891-4c5d-8ed0-10e437e5c914 · outbound

This paper cites Can Large Vision Language Models Read Maps Like a Human?.

Does RLVR Extend Reasoning Boundaries? Investigating Capability Expansion in Vision-Language Models Can Large Vision Language Models Read Maps Like a Human?

Reference 10

Resolution: verified exact; arxiv_id, observed 2026-05-18T01:00:34.282715Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 99a10cf7-9e3a-41c6-854b-16341229ecaa · outbound

This paper cites Can mllms guide me home? a benchmark study on fine-grained visual reasoning from transit maps.

Does RLVR Extend Reasoning Boundaries? Investigating Capability Expansion in Vision-Language Models Can mllms guide me home? a benchmark study on fine-grained visual reasoning from transit maps

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-05-18T01:00:34.254687Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 1a3b39e6-9a4b-4400-83b2-1d0f1ce0a28e · outbound

This paper cites Flamingo: a visual language model for few-shot learning.

Does RLVR Extend Reasoning Boundaries? Investigating Capability Expansion in Vision-Language Models Flamingo: a visual language model for few-shot learning

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T01:00:35.260400Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation e320745e-59cb-43f6-a9a0-966350d7fd0e · outbound

This paper cites Visual instruction tuning.

Does RLVR Extend Reasoning Boundaries? Investigating Capability Expansion in Vision-Language Models Visual instruction tuning

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T01:00:35.275080Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 0d333c45-4989-4b9c-b800-6f8c453dff9c · outbound

This paper cites InternVL3: Exploring Advanced Training and Test-Time Recipes for Open-Source Multimodal Models.

Does RLVR Extend Reasoning Boundaries? Investigating Capability Expansion in Vision-Language Models InternVL3: Exploring Advanced Training and Test-Time Recipes for Open-Source Multimodal Models

Reference 14

Resolution: verified exact; local_arxiv, observed 2026-05-18T01:00:34.292214Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation cad7de51-1115-4151-b77d-4de34a206a25 · outbound

This paper cites Chain of thought prompting elicits reasoning in large language models.

Does RLVR Extend Reasoning Boundaries? Investigating Capability Expansion in Vision-Language Models Chain of thought prompting elicits reasoning in large language models

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T01:00:35.265990Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 205bf49e-2912-4f14-97fd-2c0ad26eddea · outbound

This paper cites Enhancing Spatial Reasoning in Vision-Language Models via Chain-of-Thought Prompting and Reinforcement Learning.

Does RLVR Extend Reasoning Boundaries? Investigating Capability Expansion in Vision-Language Models Enhancing Spatial Reasoning in Vision-Language Models via Chain-of-Thought Prompting and Reinforcement Learning

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-05-18T01:00:34.244407Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 2a183e25-41f9-4635-a495-b98ced13be2f · outbound

This paper cites Cot-vla: Visual chain-of-thought reasoning for vision-language-action models.

Does RLVR Extend Reasoning Boundaries? Investigating Capability Expansion in Vision-Language Models Cot-vla: Visual chain-of-thought reasoning for vision-language-action models

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T01:00:35.263175Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation d46a5da2-d0ab-4352-b507-0691fca6735e · outbound

This paper cites Qwen2.5-VL Technical Report.

Does RLVR Extend Reasoning Boundaries? Investigating Capability Expansion in Vision-Language Models Qwen2.5-VL Technical Report

Reference 18

Resolution: verified exact; local_arxiv, observed 2026-05-18T01:00:34.295974Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Pith citing papers

No inbound Pith citation observations are available.