Paper Citation Record · LEDGER

Learning Structured Robot Policies from Vision-Language Models via Synthetic Neuro-Symbolic Supervision

As of 6 August 2026, this Paper Citation Record lists 28 of 28 outbound references and 0 inbound Pith citation observations for arXiv:2604.02812.

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

pith.paper-citation-record.v1
2604.02812 v2

Coverage vector

measured 28 of 28 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-19T17:30:08.755545Z

measured 28 of 28 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-06T06:34:29.942622+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

28 of 28 outbound references displayed

verified exact11
verified fuzzy14
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch3

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation cbd0df6a-3bb5-47e7-af9a-ee44b0b63aaa · outbound

This paper cites A survey of behavior trees in robotics and ai.

Learning Structured Robot Policies from Vision-Language Models via Synthetic Neuro-Symbolic Supervision A survey of behavior trees in robotics and ai

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T17:32:42.098301Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 48bd1363-340c-4cae-b254-f6126415d67e · outbound

This paper cites Behavior trees in robotics and ai: An introduction.

Learning Structured Robot Policies from Vision-Language Models via Synthetic Neuro-Symbolic Supervision Behavior trees in robotics and ai: An introduction

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T17:32:42.093309Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 151689d2-67c9-49f5-bdb1-eda6125173e0 · outbound

This paper cites VLM-driven Behavior Tree for Context-aware Task Planning.

Learning Structured Robot Policies from Vision-Language Models via Synthetic Neuro-Symbolic Supervision VLM-driven Behavior Tree for Context-aware Task Planning

Reference 3

Resolution: verified exact; arxiv_id, observed 2026-05-19T17:32:41.673798Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 9b4f9199-7d1a-4ea5-ac97-b544187f2531 · outbound

This paper cites Real2sim based on active perception with automatically vlm-generated behavior trees.

Learning Structured Robot Policies from Vision-Language Models via Synthetic Neuro-Symbolic Supervision Real2sim based on active perception with automatically vlm-generated behavior trees

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T17:32:42.090786Z

Source-reported events for the cited work

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Observation cdaea39d-150c-455a-b102-92be5f68a99a · outbound

This paper cites Real2Sim via Active Perception with Behavior Trees Automatically Generated by VLMs.

Learning Structured Robot Policies from Vision-Language Models via Synthetic Neuro-Symbolic Supervision Real2Sim via Active Perception with Behavior Trees Automatically Generated by VLMs

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-05-20T00:03:02.105623Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 7e887a0c-8029-4b13-b426-0adc75092672 · outbound

This paper cites Gemini: A Family of Highly Capable Multimodal Models.

Learning Structured Robot Policies from Vision-Language Models via Synthetic Neuro-Symbolic Supervision Gemini: A Family of Highly Capable Multimodal Models

Reference 6

Resolution: verified exact; local_arxiv, observed 2026-05-19T17:32:41.676662Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation ce2ef84f-bc70-4283-b501-2ce32f5c3162 · outbound

This paper cites Openvla: An open-source vision-language-action model.

Learning Structured Robot Policies from Vision-Language Models via Synthetic Neuro-Symbolic Supervision Openvla: An open-source vision-language-action model

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T17:32:42.096184Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 2de4e5e9-a9ef-419c-b0d0-dedeac56777d · outbound

This paper cites OpenVLA: An Open-Source Vision-Language-Action Model.

Learning Structured Robot Policies from Vision-Language Models via Synthetic Neuro-Symbolic Supervision OpenVLA: An Open-Source Vision-Language-Action Model

Reference 8

Resolution: metadata mismatch; local_arxiv, observed 2026-05-19T17:32:41.679399Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 0d522c56-9231-4047-8128-3269c3e1633c · outbound

This paper cites RT-2: Vision-Language-Action Models Transfer Web Knowledge to Robotic Control.

Learning Structured Robot Policies from Vision-Language Models via Synthetic Neuro-Symbolic Supervision RT-2: Vision-Language-Action Models Transfer Web Knowledge to Robotic Control

Reference 9

Resolution: verified exact; local_arxiv, observed 2026-05-19T17:32:41.682804Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation da4cd735-0823-4434-8962-3efec54418bc · outbound

This paper cites A3VLM: Actionable Articulation-Aware Vision Language Model.

Learning Structured Robot Policies from Vision-Language Models via Synthetic Neuro-Symbolic Supervision A3VLM: Actionable Articulation-Aware Vision Language Model

Reference 10

Resolution: metadata mismatch; arxiv_id, observed 2026-05-19T17:32:41.689570Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation d2dfba28-d0b1-4370-91e8-61f472f0de65 · outbound

This paper cites Synthetic Stimuli, Real Gains: Rethinking VLM Fine-Tuning Through Fully Controlled Data Generation.

Learning Structured Robot Policies from Vision-Language Models via Synthetic Neuro-Symbolic Supervision Synthetic Stimuli, Real Gains: Rethinking VLM Fine-Tuning Through Fully Controlled Data Generation

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-06-01T02:03:29.524259Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation c83b0340-f8da-4121-b449-1c68106cc77b · outbound

This paper cites Llm-brain: Ai-driven fast generation of robot behaviour tree based on large language model.

Learning Structured Robot Policies from Vision-Language Models via Synthetic Neuro-Symbolic Supervision Llm-brain: Ai-driven fast generation of robot behaviour tree based on large language model

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T17:32:42.102574Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation b42da8c6-2b69-4d08-ab2b-ddf7f5218969 · outbound

This paper cites Stanford alpaca: An instruction-following llama model.

Learning Structured Robot Policies from Vision-Language Models via Synthetic Neuro-Symbolic Supervision Stanford alpaca: An instruction-following llama model

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T17:32:42.104817Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 8747a24b-9817-4b86-9299-e1b8008650a9 · outbound

This paper cites Btgenbot-2: Efficient behavior tree generation with small language models.

Learning Structured Robot Policies from Vision-Language Models via Synthetic Neuro-Symbolic Supervision Btgenbot-2: Efficient behavior tree generation with small language models

Reference 14

Resolution: verified exact; arxiv_id, observed 2026-05-19T17:32:41.707529Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 6f1e139d-0629-458f-b0e3-56e6fb42c58a · outbound

This paper cites Llm-as-bt-planner: Leveraging llms for behavior tree generation in robot task planning.

Learning Structured Robot Policies from Vision-Language Models via Synthetic Neuro-Symbolic Supervision Llm-as-bt-planner: Leveraging llms for behavior tree generation in robot task planning

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T17:32:42.112545Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 2e020f4e-1394-4926-b545-456e11ec490e · outbound

This paper cites Multimodal behavior tree generation: A small vision-language model for robot task planning.

Learning Structured Robot Policies from Vision-Language Models via Synthetic Neuro-Symbolic Supervision Multimodal behavior tree generation: A small vision-language model for robot task planning

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-05-19T17:32:41.704766Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 7b3b23d3-e1ec-46ef-87e6-89108addbfd0 · outbound

This paper cites Ontology-guided diffusion for zero-shot visual sim2real transfer.

Learning Structured Robot Policies from Vision-Language Models via Synthetic Neuro-Symbolic Supervision Ontology-guided diffusion for zero-shot visual sim2real transfer

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T17:32:42.117296Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 9075f5ca-a2f1-4f48-95d7-2aff25bb39a1 · outbound

This paper cites Available: https://arxiv.org/abs/2603.18719.

Learning Structured Robot Policies from Vision-Language Models via Synthetic Neuro-Symbolic Supervision Available: https://arxiv.org/abs/2603.18719

Reference 18

Resolution: verified exact; arxiv_id, observed 2026-05-19T17:32:41.670854Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 26ba65a9-c9b9-42f1-9c10-191f2f1f862e · outbound

This paper cites Sim2real VLA: Zero-shot generalization of synthesized skills to realistic manipulation.

Learning Structured Robot Policies from Vision-Language Models via Synthetic Neuro-Symbolic Supervision Sim2real VLA: Zero-shot generalization of synthesized skills to realistic manipulation

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T17:32:42.100358Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 03b104bb-bf04-4c6b-a6fe-67dc77c0be6b · outbound

This paper cites A study on training and developing large language models for behavior tree generation.

Learning Structured Robot Policies from Vision-Language Models via Synthetic Neuro-Symbolic Supervision A study on training and developing large language models for behavior tree generation

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T17:32:42.119567Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 5304b2e5-2f69-4c3f-87ec-7cc7a7cf63e1 · outbound

This paper cites A Study on Training and Developing Large Language Models for Behavior Tree Generation.

Learning Structured Robot Policies from Vision-Language Models via Synthetic Neuro-Symbolic Supervision A Study on Training and Developing Large Language Models for Behavior Tree Generation

Reference 21

Resolution: verified exact; arxiv_id, observed 2026-05-19T17:32:41.698623Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 8e355e1c-d971-4938-b412-cb43ee9e38ee · outbound

This paper cites FoundationPose: Unified 6d pose estimation and tracking of novel objects.

Learning Structured Robot Policies from Vision-Language Models via Synthetic Neuro-Symbolic Supervision FoundationPose: Unified 6d pose estimation and tracking of novel objects

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T17:32:42.114766Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation cc2178c9-78b7-45c7-90d9-81e847e85c8e · outbound

This paper cites Deep object pose estimation for semantic robotic grasping of household objects.

Learning Structured Robot Policies from Vision-Language Models via Synthetic Neuro-Symbolic Supervision Deep object pose estimation for semantic robotic grasping of household objects

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T17:32:42.122028Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 5aab1eff-2bce-4e79-937f-b0145172d945 · outbound

This paper cites Chain-of-Symbol Prompting Elicits Planning in Large Langauge Models.

Learning Structured Robot Policies from Vision-Language Models via Synthetic Neuro-Symbolic Supervision Chain-of-Symbol Prompting Elicits Planning in Large Langauge Models

Reference 24

Resolution: verified exact; arxiv_id, observed 2026-05-19T17:32:41.686291Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 4ae575cc-aacf-4610-9a05-e979a0dc61c7 · outbound

This paper cites Pixtral 12B.

Learning Structured Robot Policies from Vision-Language Models via Synthetic Neuro-Symbolic Supervision Pixtral 12B

Reference 25

Resolution: verified exact; local_arxiv, observed 2026-05-19T17:32:41.692298Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation dff51883-a82c-4459-980f-c7dafb2bce29 · outbound

This paper cites Mujoco: A physics engine for model-based control.

Learning Structured Robot Policies from Vision-Language Models via Synthetic Neuro-Symbolic Supervision Mujoco: A physics engine for model-based control

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T17:32:42.107682Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 9693f8a7-1944-4bbc-ad70-9741977957b3 · outbound

This paper cites Lora: Low-rank adaptation of large language models.

Learning Structured Robot Policies from Vision-Language Models via Synthetic Neuro-Symbolic Supervision Lora: Low-rank adaptation of large language models

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T17:32:42.110082Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 79bbcd0e-0cac-4f65-b3ae-9eb61889b7b8 · outbound

This paper cites LoRA: Low-Rank Adaptation of Large Language Models.

Learning Structured Robot Policies from Vision-Language Models via Synthetic Neuro-Symbolic Supervision LoRA: Low-Rank Adaptation of Large Language Models

Reference 28

Resolution: metadata mismatch; local_arxiv, observed 2026-05-19T17:32:41.695284Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Pith citing papers

No inbound Pith citation observations are available.