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Paper Citation Record · LEDGER

G1: Bootstrapping Perception and Reasoning Abilities of Vision-Language Model via Reinforcement Learning

As of 5 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 10 inbound Pith citation observations for arXiv:2505.13426.

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

pith.paper-citation-record.v1
2505.13426 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 10 of 10 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 10 of 10 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-01T02:58:29.293555Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

0
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 562becc3-0bf1-4cd9-b8f0-829ea6af43a6 · inbound

UAV-VL-R1: Generalizing Vision-Language Models via Supervised Fine-Tuning and Multi-Stage GRPO for UAV Visual Reasoning cites this paper.

UAV-VL-R1: Generalizing Vision-Language Models via Supervised Fine-Tuning and Multi-Stage GRPO for UAV Visual Reasoning G1: Bootstrapping Perception and Reasoning Abilities of Vision-Language Model via Reinforcement Learning

Reference 36

Resolution
verified exact
arxiv_id, observed 2026-05-18T22:21:53.290875Z

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.

source=pdf_text observed=2026-05-18T22:17:41.758059Z digest=sha256:2778bb05a7d4dad0354057effca3a48d9e5677927dcda2951dbe529cf48d7fd0

Observation 3c920247-9f73-4a74-b31d-de700b27b369 · inbound

The Landscape of Agentic Reinforcement Learning for LLMs: A Survey cites this paper.

The Landscape of Agentic Reinforcement Learning for LLMs: A Survey G1: Bootstrapping Perception and Reasoning Abilities of Vision-Language Model via Reinforcement Learning

Reference 239

Resolution
verified exact
arxiv_id, observed 2026-05-18T19:21:48.400095Z

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.

source=pdf_text observed=2026-05-18T19:19:36.427337Z digest=sha256:0b6561558a3cd8df5215956a23ff93ebbe36b68a821bf617601af99478b6cbe3

Observation bd874107-7871-46f7-a6e0-00b32ff204d2 · inbound

A Survey of Reinforcement Learning for Large Reasoning Models cites this paper.

A Survey of Reinforcement Learning for Large Reasoning Models G1: Bootstrapping Perception and Reasoning Abilities of Vision-Language Model via Reinforcement Learning

Reference 61

Resolution
verified exact
arxiv_id, observed 2026-05-18T00:02:25.071498Z

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.

source=arxiv_source observed=2026-05-18T00:02:24.352947Z digest=sha256:e3a1b5373eb594a62dbeb6c60399131830de5f4579d61dd6b631281f1c84c854

Observation 956c631a-0ef5-4bf5-8f4f-2c7720d85ba0 · inbound

Gym-V: A Unified Vision Environment System for Agentic Vision Research cites this paper.

Gym-V: A Unified Vision Environment System for Agentic Vision Research G1: Bootstrapping Perception and Reasoning Abilities of Vision-Language Model via Reinforcement Learning

Reference 3

Resolution
verified exact
arxiv_id, observed 2026-05-15T10:05:26.028670Z

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.

source=pdf_text observed=2026-05-15T10:05:09.049846Z digest=sha256:76829d2b2da416428bf5f6f63c2c13dc912176c8652a106f4d67bf0ba215cf6e

Observation 58c72bb5-6fd8-4fc1-87b9-46224ea591f5 · inbound

Odysseus: Scaling VLMs to 100+ Turn Decision-Making in Games via Reinforcement Learning cites this paper.

Odysseus: Scaling VLMs to 100+ Turn Decision-Making in Games via Reinforcement Learning G1: Bootstrapping Perception and Reasoning Abilities of Vision-Language Model via Reinforcement Learning

Reference 74

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T15:16:08.788471Z

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.

source=arxiv_source observed=2026-05-09T20:22:58.061772Z digest=sha256:c5afa7245efabce71cb450c796b5985acfb76ba3cc76d1e034a425548f723164

Observation c91ea36f-f7fd-4ea2-bbdc-c0320bde6f33 · inbound

Towards Generalist Game Players: An Investigation of Foundation Models in the Game Multiverse cites this paper.

Towards Generalist Game Players: An Investigation of Foundation Models in the Game Multiverse G1: Bootstrapping Perception and Reasoning Abilities of Vision-Language Model via Reinforcement Learning

Reference 25

Resolution
verified exact
arxiv_id, observed 2026-05-12T03:26:19.110488Z

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.

source=pdf_text observed=2026-05-12T03:25:24.844859Z digest=sha256:4743a2361f19b51d96b649bef03be4a9a76473a19a2451328b78ced855be5482

Observation 9da3c042-ac19-4f9d-b2fa-fe0fe1f26042 · inbound

Towards Generalist Game Players: An Investigation of Foundation Models in the Game Multiverse cites this paper.

Towards Generalist Game Players: An Investigation of Foundation Models in the Game Multiverse G1: Bootstrapping Perception and Reasoning Abilities of Vision-Language Model via Reinforcement Learning

Reference 25

Resolution
verified exact
arxiv_id, observed 2026-05-13T06:47:26.994016Z

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.

source=pdf_text observed=2026-05-13T06:44:28.552513Z digest=sha256:aca24edb6d5a18ea2e2f74273a1a6ea6da7d6aba7e5463a7e6439c85cc1a7391

Observation 69838789-0ba6-4fc1-aaae-0b6f5097178e · inbound

RSICCLLM: A Multimodal Large Language Model for Remote Sensing Image Change Captioning cites this paper.

RSICCLLM: A Multimodal Large Language Model for Remote Sensing Image Change Captioning G1: Bootstrapping Perception and Reasoning Abilities of Vision-Language Model via Reinforcement Learning

Reference 7

Resolution
verified exact
arxiv_id, observed 2026-06-29T04:13:05.251364Z

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.

source=pdf_text observed=2026-06-29T04:09:32.397341Z digest=sha256:27b9fb352128c449ecbb5ed7cdba2266e951be9016badd8c1dc475edfd13df25

Observation 3f6d3dd1-ceba-448d-8587-55ad11df59ff · inbound

Before Thinking, Learn to Decide: Proactive Routing for Efficient Visual Reasoning cites this paper.

Before Thinking, Learn to Decide: Proactive Routing for Efficient Visual Reasoning G1: Bootstrapping Perception and Reasoning Abilities of Vision-Language Model via Reinforcement Learning

Reference 5

Resolution
verified exact
arxiv_id, observed 2026-06-30T13:34:41.170593Z

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.

source=pdf_text observed=2026-06-30T05:55:19.083517Z digest=sha256:217cdf7acedd05aad5d62ee5ecf48885c598f9453fcebc88839a454a3f5ffe2f

Observation 2e6a6b4c-2bcb-419c-8434-262108d00612 · inbound

CAST: Game Solvers as Turn-Level Teachers for LLM Agents cites this paper.

CAST: Game Solvers as Turn-Level Teachers for LLM Agents G1: Bootstrapping Perception and Reasoning Abilities of Vision-Language Model via Reinforcement Learning

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-01T02:58:29.293555Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T02:58:29.293555Z digest=sha256:40ded155081cfa2e347842972b6cf566e1a4cae74b4ff5ef8bb4c93b2d34ee1a