Paper Citation Record · LEDGER

Language to Rewards for Robotic Skill Synthesis

As of 6 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 42 inbound Pith citation observations for arXiv:2306.08647.

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

pith.paper-citation-record.v1
2306.08647 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 42 of 42 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 42 of 42 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T16:48:59.846352Z

measured 1 of 1 external citation measurements

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

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

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
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External citation measurements

39
pith, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 4485a3e3-d36e-4933-8e16-4ef134db797f · inbound

VoxPoser: Composable 3D Value Maps for Robotic Manipulation with Language Models cites this paper.

VoxPoser: Composable 3D Value Maps for Robotic Manipulation with Language Models Language to Rewards for Robotic Skill Synthesis

Reference 82

Resolution: verified exact; arxiv_id, observed 2026-05-13T08:57:22.346925Z

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 bbfd1523-8049-438c-bf99-3b29f4d0d1f2 · inbound

A Comprehensive Overview of Large Language Models cites this paper.

A Comprehensive Overview of Large Language Models Language to Rewards for Robotic Skill Synthesis

Reference 238

Resolution: verified exact; arxiv_id, observed 2026-05-19T20:28:39.072643Z

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 8072d747-791a-4e4a-8c8b-94b0528f86c3 · inbound

Agent AI: Surveying the Horizons of Multimodal Interaction cites this paper.

Agent AI: Surveying the Horizons of Multimodal Interaction Language to Rewards for Robotic Skill Synthesis

Reference 154

Resolution: metadata mismatch; arxiv_id, observed 2026-05-18T14:25:59.511826Z

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 59cd022e-4dc6-471d-94d3-291d033c800e · inbound

The AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery cites this paper.

The AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery Language to Rewards for Robotic Skill Synthesis

Reference 110

Resolution: verified exact; arxiv_id, observed 2026-05-11T04:42:32.118153Z

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 9fb7ffba-bd1b-4e03-a479-4de07da1c058 · inbound

Language Models as Efficient Reward Function Searchers for Custom-Environment Multi-Objective Reinforcement cites this paper.

Language Models as Efficient Reward Function Searchers for Custom-Environment Multi-Objective Reinforcement Language to Rewards for Robotic Skill Synthesis

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-05-23T21:03:26.377798Z

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 601b4ca6-7ad3-4ab0-b277-0ec3f2a6a0b3 · inbound

Agent Workflow Memory cites this paper.

Agent Workflow Memory Language to Rewards for Robotic Skill Synthesis

Reference 62

Resolution: verified exact; arxiv_id, observed 2026-05-15T00:51:28.457802Z

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 cd1dbb4e-a13b-408a-bce8-6d3f4c70a20d · inbound

CoT-VLA: Visual Chain-of-Thought Reasoning for Vision-Language-Action Models cites this paper.

CoT-VLA: Visual Chain-of-Thought Reasoning for Vision-Language-Action Models Language to Rewards for Robotic Skill Synthesis

Reference 75

Resolution: verified exact; arxiv_id, observed 2026-05-16T05:21:45.143391Z

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 95a92f59-0f4f-49cc-9247-4211e82f381d · inbound

VLMgineer: Vision Language Models as Robotic Toolsmiths cites this paper.

VLMgineer: Vision Language Models as Robotic Toolsmiths Language to Rewards for Robotic Skill Synthesis

Reference 6

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c6c10f6b-9231-42e3-89c1-5a6461a56315 · inbound

DEMONSTRATE: Zero-shot Language to Robotic Control via Multi-task Demonstration Learning cites this paper.

DEMONSTRATE: Zero-shot Language to Robotic Control via Multi-task Demonstration Learning Language to Rewards for Robotic Skill Synthesis

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-06T16:42:30.008389Z

Source-reported events for the cited work

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Observation 0d2359ed-e86c-48bf-8be6-15a5c3fecf22 · inbound

A Human-in-the-loop Approach to Robot Action Replanning through LLM Common-Sense Reasoning cites this paper.

A Human-in-the-loop Approach to Robot Action Replanning through LLM Common-Sense Reasoning Language to Rewards for Robotic Skill Synthesis

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-06T13:17:07.278935Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6403afed-e422-4f5f-a27d-c2159ee75ae8 · inbound

GhostShell: Streaming LLM Function Calls for Concurrent Embodied Programming cites this paper.

GhostShell: Streaming LLM Function Calls for Concurrent Embodied Programming Language to Rewards for Robotic Skill Synthesis

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-05T23:30:47.896896Z

Source-reported events for the cited work

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Observation 448ad640-4dc2-4e2d-9e0d-1f432652e372 · inbound

Large Model Empowered Embodied AI: A Survey on Decision-Making and Embodied Learning cites this paper.

Large Model Empowered Embodied AI: A Survey on Decision-Making and Embodied Learning Language to Rewards for Robotic Skill Synthesis

Reference 215

Resolution: unresolved; no resolver link, observed 2026-08-05T20:31:55.927393Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d501f1bb-1e69-4b08-b6d6-2d3745075ebb · inbound

RoboInspector: Unveiling the Unreliability of Policy Code for LLM-enabled Robotic Manipulation cites this paper.

RoboInspector: Unveiling the Unreliability of Policy Code for LLM-enabled Robotic Manipulation Language to Rewards for Robotic Skill Synthesis

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-05T14:20:41.754771Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 39a0252b-85b0-4774-b7ff-05f5fa6c793e · inbound

Text2Touch: Tactile In-Hand Manipulation with LLM-Designed Reward Functions cites this paper.

Text2Touch: Tactile In-Hand Manipulation with LLM-Designed Reward Functions Language to Rewards for Robotic Skill Synthesis

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-04T22:16:14.200202Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e07873b9-6cc9-4a4f-8d3a-b534774fef2a · inbound

Exploratory Retrieval-Augmented Planning For Continual Embodied Instruction Following cites this paper.

Exploratory Retrieval-Augmented Planning For Continual Embodied Instruction Following Language to Rewards for Robotic Skill Synthesis

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-04T21:06:12.152973Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7db59076-6e9b-41d0-8479-5298be540dcb · inbound

ZapGPT: Free-form Language Prompting for Simulated Cellular Control cites this paper.

ZapGPT: Free-form Language Prompting for Simulated Cellular Control Language to Rewards for Robotic Skill Synthesis

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-04T17:46:05.064762Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4bba9fdf-fd86-4a88-8042-e143e09511e8 · inbound

Reward Evolution with Graph-of-Thoughts: A Bi-Level Language Model Framework for Reinforcement Learning cites this paper.

Reward Evolution with Graph-of-Thoughts: A Bi-Level Language Model Framework for Reinforcement Learning Language to Rewards for Robotic Skill Synthesis

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-04T16:06:58.564069Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d6666f7d-6dfd-4b32-8e5e-e4c7304c732b · inbound

ShinkaEvolve: Towards Open-Ended And Sample-Efficient Program Evolution cites this paper.

ShinkaEvolve: Towards Open-Ended And Sample-Efficient Program Evolution Language to Rewards for Robotic Skill Synthesis

Reference 51

Resolution: metadata mismatch; arxiv_id, observed 2026-05-16T13:58:58.801754Z

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 0e915944-7e6e-4289-9b4f-67d547764ee2 · inbound

Debate2Create: Robot Co-design via Multi-Agent LLM Debate cites this paper.

Debate2Create: Robot Co-design via Multi-Agent LLM Debate Language to Rewards for Robotic Skill Synthesis

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-04T07:27:03.953190Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7fdc6b1f-60d2-43d1-b0aa-1ecf0104c8d2 · inbound

ReinforceGen: Hybrid Skill Policies with Automated Data Generation and Reinforcement Learning cites this paper.

ReinforceGen: Hybrid Skill Policies with Automated Data Generation and Reinforcement Learning Language to Rewards for Robotic Skill Synthesis

Reference 2021

Resolution: unresolved; no resolver link, observed 2026-08-03T15:29:16.815306Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0824365d-b3eb-4fa2-8742-48835417d541 · inbound

PRISM-XR: Empowering Privacy-Aware XR Collaboration with Multimodal Large Language Models cites this paper.

PRISM-XR: Empowering Privacy-Aware XR Collaboration with Multimodal Large Language Models Language to Rewards for Robotic Skill Synthesis

Reference 62

Resolution: verified exact; arxiv_id, observed 2026-05-16T05:07:20.574223Z

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 f7af31f6-665c-4958-9a75-37f05281bddd · inbound

Sumo: Dynamic and Generalizable Whole-Body Loco-Manipulation cites this paper.

Sumo: Dynamic and Generalizable Whole-Body Loco-Manipulation Language to Rewards for Robotic Skill Synthesis

Reference 51

Resolution: verified exact; arxiv_id, observed 2026-05-11T06:25:58.866230Z

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 4305bdb9-6863-4d46-b3b8-cc2b09eb4208 · inbound

Improving Zero-Shot Offline RL via Behavioral Task Sampling cites this paper.

Improving Zero-Shot Offline RL via Behavioral Task Sampling Language to Rewards for Robotic Skill Synthesis

Reference 24

Resolution: verified exact; arxiv_id, observed 2026-05-11T23:41:18.595209Z

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 a8c43925-e26e-4f5b-bd86-c23a4441fc47 · inbound

Enhanced LLM Reasoning by Optimizing Reward Functions with Search-Driven Reinforcement Learning cites this paper.

Enhanced LLM Reasoning by Optimizing Reward Functions with Search-Driven Reinforcement Learning Language to Rewards for Robotic Skill Synthesis

Reference 17

Resolution: verified exact; arxiv_id, observed 2026-05-09T06:00:35.200137Z

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 ae951a6e-0a0d-441b-92e0-2a7dd7b6d549 · inbound

Enhanced LLM Reasoning by Optimizing Reward Functions with Search-Driven Reinforcement Learning cites this paper.

Enhanced LLM Reasoning by Optimizing Reward Functions with Search-Driven Reinforcement Learning Language to Rewards for Robotic Skill Synthesis

Reference 17

Resolution: verified exact; arxiv_id, observed 2026-05-11T03:50:57.918220Z

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 d686d8f1-a8b7-422a-9fd5-875676b4e26f · inbound

EvoNav: Evolutionary Reward Function Design for Robot Navigation with Large Language Models cites this paper.

EvoNav: Evolutionary Reward Function Design for Robot Navigation with Large Language Models Language to Rewards for Robotic Skill Synthesis

Reference 47

Resolution: verified exact; arxiv_id, observed 2026-05-13T05:27:18.896581Z

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 a88313d2-debd-4d30-a6c3-1e5b0c1ae666 · inbound

ERFSL: An Efficient Reward Function Searcher via Language Models for Custom-Environment Multi-Objective Optimization (Student Abstract) cites this paper.

ERFSL: An Efficient Reward Function Searcher via Language Models for Custom-Environment Multi-Objective Optimization (Student Abstract) Language to Rewards for Robotic Skill Synthesis

Reference 17

Resolution: metadata mismatch; arxiv_id, observed 2026-05-20T05:08:05.277461Z

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 7787d8f2-017b-4a25-9c1f-8a0de03ab920 · inbound

Beyond Pixels: Learning Invariant Rewards for Real-World Robotics From a Few Demonstrations cites this paper.

Beyond Pixels: Learning Invariant Rewards for Real-World Robotics From a Few Demonstrations Language to Rewards for Robotic Skill Synthesis

Reference 29

Resolution: verified exact; arxiv_id, observed 2026-05-22T05:34:40.294628Z

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 517f6d7d-4ab3-4e67-b090-1a83758dcff7 · inbound

PIRS: Physics-Informed Reward Shaping for SAC-Based Building Energy Management cites this paper.

PIRS: Physics-Informed Reward Shaping for SAC-Based Building Energy Management Language to Rewards for Robotic Skill Synthesis

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-06-29T12:23:23.904827Z

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 1da2b404-d440-4232-9112-da39b3a41554 · inbound

Safe Embodied AI for Long-horizon Tasks: A Cross-layer Analysis of Robotic Manipulation cites this paper.

Safe Embodied AI for Long-horizon Tasks: A Cross-layer Analysis of Robotic Manipulation Language to Rewards for Robotic Skill Synthesis

Reference 204

Resolution: metadata mismatch; arxiv_id, observed 2026-07-02T12:56:56.738569Z

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 edd7a058-da00-4aae-b0cd-11dd3f2f9eaa · inbound

ENPIRE: Agentic Robot Policy Self-Improvement in the Real World cites this paper.

ENPIRE: Agentic Robot Policy Self-Improvement in the Real World Language to Rewards for Robotic Skill Synthesis

Reference 53

Resolution: malformed identifier; arxiv_id, observed 2026-07-04T03:59:33.466912Z

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 0207fc36-28ac-46e9-a6bf-9df72ca2ab8d · inbound

Sakana Fugu Technical Report cites this paper.

Sakana Fugu Technical Report Language to Rewards for Robotic Skill Synthesis

Reference 89

Resolution: metadata mismatch; arxiv_id, observed 2026-07-04T06:39:36.895230Z

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 aedced29-181b-4cb6-b901-e68cb4e20aab · inbound

EmbodiedUS-FS: Fast Slow Intelligence for Ultrasound Robotics cites this paper.

EmbodiedUS-FS: Fast Slow Intelligence for Ultrasound Robotics Language to Rewards for Robotic Skill Synthesis

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-07-04T08:59:42.632679Z

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 a79d7254-6add-42be-bd93-2719168175a5 · inbound

LocalNav: Distilling Frontier VLMs and Embodied RL for On-Device Object Goal Navigation cites this paper.

LocalNav: Distilling Frontier VLMs and Embodied RL for On-Device Object Goal Navigation Language to Rewards for Robotic Skill Synthesis

Reference 23

Resolution: verified exact; arxiv_id, observed 2026-06-29T19:23:54.290524Z

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 1fec7aa6-adc0-43fd-9d3a-d0cfdebf69b2 · inbound

VLM-AR3L: Vision-Language Models for Absolute and Relative Rewards in Reinforcement Learning cites this paper.

VLM-AR3L: Vision-Language Models for Absolute and Relative Rewards in Reinforcement Learning Language to Rewards for Robotic Skill Synthesis

Reference 4

Resolution: metadata mismatch; arxiv_id, observed 2026-07-02T11:56:54.897603Z

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 f293187d-0996-4e81-a3e4-de94ddd6f1bd · inbound

VLM-AR3L: Vision-Language Models for Absolute and Relative Rewards in Reinforcement Learning cites this paper.

VLM-AR3L: Vision-Language Models for Absolute and Relative Rewards in Reinforcement Learning Language to Rewards for Robotic Skill Synthesis

Reference 4

Resolution: metadata mismatch; arxiv_id, observed 2026-07-03T20:48:55.284136Z

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 c5067fdb-cc59-4039-bdef-edb1a229f603 · inbound

LLM-as-a-Verifier: A General-Purpose Verification Framework cites this paper.

LLM-as-a-Verifier: A General-Purpose Verification Framework Language to Rewards for Robotic Skill Synthesis

Reference 81

Resolution: verified exact; local_arxiv, observed 2026-07-07T12:53:50.182171Z

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 0e5994b9-f181-4ccf-8356-9aeb00c7c3af · inbound

LLM-as-a-Verifier: A General-Purpose Verification Framework cites this paper.

LLM-as-a-Verifier: A General-Purpose Verification Framework Language to Rewards for Robotic Skill Synthesis

Reference 81

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 944e2d6b-e7be-44df-b0b9-35142ba50594 · inbound

Breaking D\'ej\`a Vu: Independent Auditing of Visual Place Recognition through Vision-Language Reasoning cites this paper.

Breaking D\'ej\`a Vu: Independent Auditing of Visual Place Recognition through Vision-Language Reasoning Language to Rewards for Robotic Skill Synthesis

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-02T06:21:26.191346Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ced2984c-f95b-4194-8157-8f7abbb51cce · inbound

LEACL: LLM-Enhanced Automatic Curriculum Learning for Reinforcement Learning in Long-Horizon Manipulation Tasks cites this paper.

LEACL: LLM-Enhanced Automatic Curriculum Learning for Reinforcement Learning in Long-Horizon Manipulation Tasks Language to Rewards for Robotic Skill Synthesis

Reference 12

Resolution: unresolved; no resolver link, observed 2026-07-30T20:27:55.866736Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9cf112c2-7a81-40f8-a41c-221863c23e67 · inbound

Weights or Skills? A Survey of Robot-Learning Techniques: from Action-Predicting Weights to Robots that Write their Own Skills cites this paper.

Weights or Skills? A Survey of Robot-Learning Techniques: from Action-Predicting Weights to Robots that Write their Own Skills Language to Rewards for Robotic Skill Synthesis

Reference 288

Resolution: unresolved; no resolver link, observed 2026-08-04T19:45:35.417818Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e4c2528b-55c1-4978-9fd4-6a10b37996a0 · inbound

Is Inter-Seed Cross-Play Enough? Evaluating the Robustness of Zero-Shot Coordination Algorithms to Implementation Details cites this paper.

Is Inter-Seed Cross-Play Enough? Evaluating the Robustness of Zero-Shot Coordination Algorithms to Implementation Details Language to Rewards for Robotic Skill Synthesis

Reference 200

Resolution: unresolved; no resolver link, observed 2026-08-05T15:25:40.214411Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.