Paper Citation Record · LEDGER

Advancing Autonomous VLM Agents via Variational Subgoal-Conditioned Reinforcement Learning

As of 19 August 2026, this Paper Citation Record lists 49 of 49 outbound references and 2 inbound Pith citation observations for arXiv:2502.07949.

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

pith.paper-citation-record.v1
2502.07949 v2

Coverage vector

measured 49 of 49 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-08T11:25:49.254278Z

measured 51 of 51 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T20:19:16.013755Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T05:04:05.836097Z

Reference resolution

49 of 49 outbound references displayed

verified exact2
verified fuzzy10
unresolved35
parse uncertain2
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation db6d4381-44e3-4be6-89e6-1a7aff1885ea · outbound

This paper cites Relative Entropy Regularized Policy Iteration.

Advancing Autonomous VLM Agents via Variational Subgoal-Conditioned Reinforcement Learning Relative Entropy Regularized Policy Iteration

Reference 1

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Observation ad348645-6fc5-4b15-a8d7-52f35171101e · outbound

This paper cites Maximum a Posteriori Policy Optimisation.

Advancing Autonomous VLM Agents via Variational Subgoal-Conditioned Reinforcement Learning Maximum a Posteriori Policy Optimisation

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-08T11:25:49.082805Z

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Observation afb04b57-749f-4a82-bae2-30382afbd04b · outbound

This paper cites Andrychowicz, F.

Advancing Autonomous VLM Agents via Variational Subgoal-Conditioned Reinforcement Learning Andrychowicz, F

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T11:25:49.747985Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 940735a0-7fbc-4adb-a395-994715bfa4f0 · outbound

This paper cites DigiRL: Training In-The-Wild Device-Control Agents with Autonomous Reinforcement Learning.

Advancing Autonomous VLM Agents via Variational Subgoal-Conditioned Reinforcement Learning DigiRL: Training In-The-Wild Device-Control Agents with Autonomous Reinforcement Learning

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-08T11:25:49.090555Z

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Observation e46950f5-deb2-461b-b25e-8f166c7fb301 · outbound

This paper cites Qwen-VL: A Versatile Vision-Language Model for Understanding, Localization, Text Reading, and Beyond.

Advancing Autonomous VLM Agents via Variational Subgoal-Conditioned Reinforcement Learning Qwen-VL: A Versatile Vision-Language Model for Understanding, Localization, Text Reading, and Beyond

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-08T11:25:49.094639Z

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Observation ab3c5455-2785-453a-a08c-15817c87c355 · outbound

This paper cites Dota 2 with Large Scale Deep Reinforcement Learning.

Advancing Autonomous VLM Agents via Variational Subgoal-Conditioned Reinforcement Learning Dota 2 with Large Scale Deep Reinforcement Learning

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-08T11:25:49.098504Z

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Observation f50414d4-631b-4de0-babf-65f21a162716 · outbound

This paper cites Chane-Sane, C.

Advancing Autonomous VLM Agents via Variational Subgoal-Conditioned Reinforcement Learning Chane-Sane, C

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T11:25:49.738098Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 9a0861c7-54df-4708-b225-9e2f16cd2e1e · outbound

This paper cites an unresolved cited work.

Advancing Autonomous VLM Agents via Variational Subgoal-Conditioned Reinforcement Learning Unresolved cited work

Reference 8

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Observation 01e8418b-e7c6-4b6d-9364-cc4c414ab025 · outbound

This paper cites Chevalier-Boisvert, D.

Advancing Autonomous VLM Agents via Variational Subgoal-Conditioned Reinforcement Learning Chevalier-Boisvert, D

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T11:25:49.718546Z

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Observation 6ca99384-01e5-4238-8fdf-f7fe09267918 · outbound

This paper cites Dayan and G.

Advancing Autonomous VLM Agents via Variational Subgoal-Conditioned Reinforcement Learning Dayan and G

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T11:25:49.708639Z

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Observation 170d37da-5366-418e-a2e8-e0df0d179100 · outbound

This paper cites MetaGPT: Meta Programming for A Multi-Agent Collaborative Framework.

Advancing Autonomous VLM Agents via Variational Subgoal-Conditioned Reinforcement Learning MetaGPT: Meta Programming for A Multi-Agent Collaborative Framework

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-08T11:25:49.114831Z

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Observation df641b50-b2f7-4fde-8402-03936d23a97d · outbound

This paper cites an unresolved cited work.

Advancing Autonomous VLM Agents via Variational Subgoal-Conditioned Reinforcement Learning Unresolved cited work

Reference 12

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Observation 2183db8f-1589-4447-86ce-66fdffe95b51 · outbound

This paper cites Jiang and A.

Advancing Autonomous VLM Agents via Variational Subgoal-Conditioned Reinforcement Learning Jiang and A

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T11:25:49.692268Z

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation a53ce53f-bd3a-46cb-93a2-7073fe2b8ebf · outbound

This paper cites Jurgenson, O.

Advancing Autonomous VLM Agents via Variational Subgoal-Conditioned Reinforcement Learning Jurgenson, O

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T11:25:49.682754Z

Source-reported events for the cited work

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Observation f278e4ea-5612-4a4e-a7df-e544b1fb432a · outbound

This paper cites Reinforcement Learning and Control as Probabilistic Inference: Tutorial and Review.

Advancing Autonomous VLM Agents via Variational Subgoal-Conditioned Reinforcement Learning Reinforcement Learning and Control as Probabilistic Inference: Tutorial and Review

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-08T11:25:49.126140Z

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Observation 106e6232-3df4-4967-9c6b-b83b751e6ca6 · outbound

This paper cites Goal-Conditioned Reinforcement Learning: Problems and Solutions.

Advancing Autonomous VLM Agents via Variational Subgoal-Conditioned Reinforcement Learning Goal-Conditioned Reinforcement Learning: Problems and Solutions

Reference 16

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Observation acf8ca8a-b7fe-472b-84aa-d2d0445cd6a6 · outbound

This paper cites VisualAgentBench: Towards Large Multimodal Models as Visual Foundation Agents.

Advancing Autonomous VLM Agents via Variational Subgoal-Conditioned Reinforcement Learning VisualAgentBench: Towards Large Multimodal Models as Visual Foundation Agents

Reference 17

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Observation cfdbcdd3-fcaf-4b3f-b471-1f435bcbb150 · outbound

This paper cites an unresolved cited work.

Advancing Autonomous VLM Agents via Variational Subgoal-Conditioned Reinforcement Learning Unresolved cited work

Reference 18

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 4b6e6fa3-0b7b-4c50-9300-2a45812dfec0 · outbound

This paper cites Hierarchical Foresight: Self-Supervised Learning of Long-Horizon Tasks via Visual Subgoal Generation.

Advancing Autonomous VLM Agents via Variational Subgoal-Conditioned Reinforcement Learning Hierarchical Foresight: Self-Supervised Learning of Long-Horizon Tasks via Visual Subgoal Generation

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-08T11:25:49.140608Z

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Observation 57ea3c29-b182-46d1-b602-baddc31d951c · outbound

This paper cites an unresolved cited work.

Advancing Autonomous VLM Agents via Variational Subgoal-Conditioned Reinforcement Learning Unresolved cited work

Reference 20

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 210d1af5-1431-4db5-82c3-8d2e472ba75a · outbound

This paper cites Gpt-4v(ision) technical work and authors.

Advancing Autonomous VLM Agents via Variational Subgoal-Conditioned Reinforcement Learning Gpt-4v(ision) technical work and authors

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T11:25:49.653686Z

Source-reported events for the cited work

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Observation 9791b529-d7f0-4d83-bff0-7cc2ab1f5821 · outbound

This paper cites an unresolved cited work.

Advancing Autonomous VLM Agents via Variational Subgoal-Conditioned Reinforcement Learning Unresolved cited work

Reference 22

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Observation edc6f4e7-e33c-4748-b23e-10fe327137a3 · outbound

This paper cites an unresolved cited work.

Advancing Autonomous VLM Agents via Variational Subgoal-Conditioned Reinforcement Learning Unresolved cited work

Reference 23

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 1a828d38-91fb-433c-8a94-c1d945a87768 · outbound

This paper cites Divide-and-Conquer Monte Carlo Tree Search For Goal-Directed Planning.

Advancing Autonomous VLM Agents via Variational Subgoal-Conditioned Reinforcement Learning Divide-and-Conquer Monte Carlo Tree Search For Goal-Directed Planning

Reference 24

Resolution: verified exact; local_arxiv, observed 2026-08-08T11:25:49.440516Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 7a761859-ce8f-4eb8-9b89-becb5342b309 · outbound

This paper cites Advantage-Weighted Regression: Simple and Scalable Off-Policy Reinforcement Learning.

Advancing Autonomous VLM Agents via Variational Subgoal-Conditioned Reinforcement Learning Advantage-Weighted Regression: Simple and Scalable Off-Policy Reinforcement Learning

Reference 25

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Observation 3d05642c-2028-4729-99d8-165576046229 · outbound

This paper cites WebRL: Training LLM Web Agents via Self-Evolving Online Curriculum Reinforcement Learning.

Advancing Autonomous VLM Agents via Variational Subgoal-Conditioned Reinforcement Learning WebRL: Training LLM Web Agents via Self-Evolving Online Curriculum Reinforcement Learning

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-08T11:25:49.165415Z

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Observation 854c3f89-17f3-49bf-89f8-8ad27d167861 · outbound

This paper cites Rawles, A.

Advancing Autonomous VLM Agents via Variational Subgoal-Conditioned Reinforcement Learning Rawles, A

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T11:25:49.628464Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation c0df10cc-6fa3-4edf-bb43-6e49a0db3b95 · outbound

This paper cites Vision-Language Models are Zero-Shot Reward Models for Reinforcement Learning.

Advancing Autonomous VLM Agents via Variational Subgoal-Conditioned Reinforcement Learning Vision-Language Models are Zero-Shot Reward Models for Reinforcement Learning

Reference 28

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Observation 9a24d763-76fb-4fad-b423-68a61695c180 · outbound

This paper cites Proximal Policy Optimization Algorithms.

Advancing Autonomous VLM Agents via Variational Subgoal-Conditioned Reinforcement Learning Proximal Policy Optimization Algorithms

Reference 29

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Observation b8cc4d12-7acf-43ea-a751-20b619dc1bdf · outbound

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Advancing Autonomous VLM Agents via Variational Subgoal-Conditioned Reinforcement Learning Unresolved cited work

Reference 30

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 7a76d994-278f-4b76-9196-b54776bbd237 · outbound

This paper cites Silver, J.

Advancing Autonomous VLM Agents via Variational Subgoal-Conditioned Reinforcement Learning Silver, J

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T11:25:49.609706Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 582c930b-ebba-4c21-9bd8-a90a116ef71d · outbound

This paper cites an unresolved cited work.

Advancing Autonomous VLM Agents via Variational Subgoal-Conditioned Reinforcement Learning Unresolved cited work

Reference 32

Resolution: unresolved; raw_fallback, observed 2026-08-08T11:25:49.600811Z

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 202465b4-947a-4c1e-bd6d-cac05b52a381 · outbound

This paper cites Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context.

Advancing Autonomous VLM Agents via Variational Subgoal-Conditioned Reinforcement Learning Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context

Reference 33

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Observation bb2b12ed-f448-4500-8c4c-cf6cb2a2a9db · outbound

This paper cites AndroidEnv: A Reinforcement Learning Platform for Android.

Advancing Autonomous VLM Agents via Variational Subgoal-Conditioned Reinforcement Learning AndroidEnv: A Reinforcement Learning Platform for Android

Reference 34

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Observation 567c1408-798b-4872-ba04-3232fc222b34 · outbound

This paper cites DistRL: An Asynchronous Distributed Reinforcement Learning Framework for On-Device Control Agents.

Advancing Autonomous VLM Agents via Variational Subgoal-Conditioned Reinforcement Learning DistRL: An Asynchronous Distributed Reinforcement Learning Framework for On-Device Control Agents

Reference 35

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Observation b42ea7ae-1131-4da9-b935-0010228faa95 · outbound

This paper cites Variational Delayed Policy Optimization.

Advancing Autonomous VLM Agents via Variational Subgoal-Conditioned Reinforcement Learning Variational Delayed Policy Optimization

Reference 36

Resolution: verified exact; local_arxiv, observed 2026-08-08T11:25:49.360722Z

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Observation 7515b4c1-1019-4a5f-986d-22fcb949a0dc · outbound

This paper cites Auto-GPT for Online Decision Making: Benchmarks and Additional Opinions.

Advancing Autonomous VLM Agents via Variational Subgoal-Conditioned Reinforcement Learning Auto-GPT for Online Decision Making: Benchmarks and Additional Opinions

Reference 37

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Observation bc0803b3-03aa-4096-ac07-a215800f9cf2 · outbound

This paper cites Set-of-Mark Prompting Unleashes Extraordinary Visual Grounding in GPT-4V.

Advancing Autonomous VLM Agents via Variational Subgoal-Conditioned Reinforcement Learning Set-of-Mark Prompting Unleashes Extraordinary Visual Grounding in GPT-4V

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-08T11:25:49.206333Z

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Observation 61a16baa-4b4f-4967-91f0-ffe0c112cd86 · outbound

This paper cites Guiding Long-Horizon Task and Motion Planning with Vision Language Models.

Advancing Autonomous VLM Agents via Variational Subgoal-Conditioned Reinforcement Learning Guiding Long-Horizon Task and Motion Planning with Vision Language Models

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-08T11:25:49.209337Z

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Observation d2ed289d-5155-40c0-b929-36367458568b · outbound

This paper cites AppAgent: Multimodal Agents as Smartphone Users.

Advancing Autonomous VLM Agents via Variational Subgoal-Conditioned Reinforcement Learning AppAgent: Multimodal Agents as Smartphone Users

Reference 41

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Observation a17b7127-cfaf-4dc4-94d9-9d3551404b2c · outbound

This paper cites You Only Look at Screens: Multimodal Chain-of-Action Agents.

Advancing Autonomous VLM Agents via Variational Subgoal-Conditioned Reinforcement Learning You Only Look at Screens: Multimodal Chain-of-Action Agents

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-08T11:25:49.218075Z

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Observation 807ca801-9339-4c20-8842-6922488bfbfc · outbound

This paper cites EPO: Hierarchical LLM Agents with Environment Preference Optimization.

Advancing Autonomous VLM Agents via Variational Subgoal-Conditioned Reinforcement Learning EPO: Hierarchical LLM Agents with Environment Preference Optimization

Reference 43

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Observation 92fe8298-9bb5-4372-8eb4-ec63f69a5133 · outbound

This paper cites GPT-4V(ision) is a Generalist Web Agent, if Grounded.

Advancing Autonomous VLM Agents via Variational Subgoal-Conditioned Reinforcement Learning GPT-4V(ision) is a Generalist Web Agent, if Grounded

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-08T11:25:49.224379Z

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Observation 311eadef-630c-46c7-897d-10395bb54b1d · outbound

This paper cites WebArena: A Realistic Web Environment for Building Autonomous Agents.

Advancing Autonomous VLM Agents via Variational Subgoal-Conditioned Reinforcement Learning WebArena: A Realistic Web Environment for Building Autonomous Agents

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-08T11:25:49.227821Z

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Observation 87c60618-e859-47a4-b8eb-cff15b0e3c29 · outbound

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Advancing Autonomous VLM Agents via Variational Subgoal-Conditioned Reinforcement Learning Unresolved cited work

Reference 46

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Observation f2008d08-eb33-4c26-be9b-e403c122ee27 · outbound

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Advancing Autonomous VLM Agents via Variational Subgoal-Conditioned Reinforcement Learning Unresolved cited work

Reference 50

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Observation b6931b3b-4451-40ec-a80b-30339a29d45c · outbound

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Advancing Autonomous VLM Agents via Variational Subgoal-Conditioned Reinforcement Learning Unresolved cited work

Reference 51

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Observation ec9c52ae-6f6e-4974-8959-0018819e9ce2 · outbound

This paper cites an unresolved cited work.

Advancing Autonomous VLM Agents via Variational Subgoal-Conditioned Reinforcement Learning Unresolved cited work

Reference 52

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Source-reported events for the cited work

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Observation abd9c80c-484e-48d0-a7e8-696dae34f0c3 · outbound

This paper cites The generator decomposes the goal of navigating the maze into subgoals like opening specific doors sequentially.

Advancing Autonomous VLM Agents via Variational Subgoal-Conditioned Reinforcement Learning The generator decomposes the goal of navigating the maze into subgoals like opening specific doors sequentially

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T11:25:49.548407Z

Source-reported events for the cited work

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Pith citing papers

Observation 8dc86540-026a-4449-8965-31049f5667c0 · inbound

Atomic-to-Compositional Generalization for Mobile Agents with A New Benchmark and Scheduling System cites this paper.

Atomic-to-Compositional Generalization for Mobile Agents with A New Benchmark and Scheduling System Advancing Autonomous VLM Agents via Variational Subgoal-Conditioned Reinforcement Learning

Reference 59

Resolution: verified exact; local_arxiv, observed 2026-08-07T05:04:05.841970Z

Source-reported events for the cited work

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Observation 35fbfc91-c98e-4d06-ba1e-6c53e24663ec · inbound

Software Engineering for and with GUI Agent cites this paper.

Software Engineering for and with GUI Agent Advancing Autonomous VLM Agents via Variational Subgoal-Conditioned Reinforcement Learning

Reference 247

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