Paper Citation Record · LEDGER

Towards Efficient Online Tuning of VLM Agents via Counterfactual Soft Reinforcement Learning

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2505.03792.

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

pith.paper-citation-record.v1
2505.03792 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-31T21:55:17.309418Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T12:16:56.911098Z

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 5bd1a5f0-d1bd-45c8-99e5-55f276d9e0e9 · 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 Towards Efficient Online Tuning of VLM Agents via Counterfactual Soft Reinforcement Learning

Reference 70

Resolution: verified exact; arxiv_id, observed 2026-05-11T15:16:08.961965Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 6b48a64f-f88f-4bbb-acb2-db4e987ba59b · inbound

StraTA: Incentivizing Agentic Reinforcement Learning with Strategic Trajectory Abstraction cites this paper.

StraTA: Incentivizing Agentic Reinforcement Learning with Strategic Trajectory Abstraction Towards Efficient Online Tuning of VLM Agents via Counterfactual Soft Reinforcement Learning

Reference 52

Resolution: verified exact; arxiv_id, observed 2026-05-11T20:11:12.127979Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation e0c6c9f2-3dda-46d5-8b59-7eb88bd81ba9 · inbound

SIRI: Self-Internalizing Reinforcement Learning with Intrinsic Skills for LLM Agent Training cites this paper.

SIRI: Self-Internalizing Reinforcement Learning with Intrinsic Skills for LLM Agent Training Towards Efficient Online Tuning of VLM Agents via Counterfactual Soft Reinforcement Learning

Reference 40

Resolution: verified exact; arxiv_id, observed 2026-07-01T23:16:23.920593Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 3c679b43-a9f6-4690-8251-134ba644d44a · inbound

When Denser Credit Is Not Enough: Evidence-Calibrated Policy Optimization for Long-Horizon LLM Agent Training cites this paper.

When Denser Credit Is Not Enough: Evidence-Calibrated Policy Optimization for Long-Horizon LLM Agent Training Towards Efficient Online Tuning of VLM Agents via Counterfactual Soft Reinforcement Learning

Reference 25

Resolution: verified exact; arxiv_id, observed 2026-07-02T12:16:56.912931Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation f948133b-c362-4c92-aa50-e1a8598e1a00 · inbound

MARS-RA: Rank Aggregation for Credit Assignment via Multimodal Comparisons in Embodied Multi-Agent Cooperation cites this paper.

MARS-RA: Rank Aggregation for Credit Assignment via Multimodal Comparisons in Embodied Multi-Agent Cooperation Towards Efficient Online Tuning of VLM Agents via Counterfactual Soft Reinforcement Learning

Reference 41

Resolution: unresolved; no resolver link, observed 2026-07-31T21:55:17.309418Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.