Paper Citation Record · LEDGER

EnvGen: Generating and Adapting Environments via LLMs for Training Embodied Agents

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:2403.12014.

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

pith.paper-citation-record.v1
2403.12014 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 9 of 9 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 9 of 9 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T21:01:24.803482Z

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

2
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 93b9ac54-2ea2-45c6-87d9-8ae1fce7c411 · inbound

Multi-SWE-bench: A Multilingual Benchmark for Issue Resolving cites this paper.

Multi-SWE-bench: A Multilingual Benchmark for Issue Resolving EnvGen: Generating and Adapting Environments via LLMs for Training Embodied Agents

Reference 20

Resolution: verified exact; arxiv_id, observed 2026-05-16T06:48:50.480908Z

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 70bbe515-7436-4375-904f-07dd546abd96 · inbound

EvoCurr: Self-evolving Curriculum with Behavior Code Generation for Complex Decision-making cites this paper.

EvoCurr: Self-evolving Curriculum with Behavior Code Generation for Complex Decision-making EnvGen: Generating and Adapting Environments via LLMs for Training Embodied Agents

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-05T21:01:24.803482Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b0527413-2068-46f6-847a-58ab26c5a296 · inbound

cMALC-D: Contextual Multi-Agent LLM-Guided Curriculum Learning with Diversity-Based Context Blending cites this paper.

cMALC-D: Contextual Multi-Agent LLM-Guided Curriculum Learning with Diversity-Based Context Blending EnvGen: Generating and Adapting Environments via LLMs for Training Embodied Agents

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-05T14:49:53.402378Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a64c9274-d4e9-4aac-81ae-9acba0f664f6 · inbound

Agent-World: Scaling Real-World Environment Synthesis for Evolving General Agent Intelligence cites this paper.

Agent-World: Scaling Real-World Environment Synthesis for Evolving General Agent Intelligence EnvGen: Generating and Adapting Environments via LLMs for Training Embodied Agents

Reference 125

Resolution: verified exact; arxiv_id, observed 2026-05-10T05:25:54.631848Z

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 66284ac8-c86b-4115-b2a6-91eff8c20d55 · inbound

SimWorld Studio: Automatic Environment Generation with Evolving Coding Agent for Embodied Agent Learning cites this paper.

SimWorld Studio: Automatic Environment Generation with Evolving Coding Agent for Embodied Agent Learning EnvGen: Generating and Adapting Environments via LLMs for Training Embodied Agents

Reference 101

Resolution: verified exact; arxiv_id, observed 2026-05-12T06:21:26.467477Z

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 fa41e90f-461b-43f4-b12c-fd2ff15fb620 · inbound

SimWorld Studio: Automatic Environment Generation with Evolving Coding Agent for Embodied Agent Learning cites this paper.

SimWorld Studio: Automatic Environment Generation with Evolving Coding Agent for Embodied Agent Learning EnvGen: Generating and Adapting Environments via LLMs for Training Embodied Agents

Reference 101

Resolution: verified exact; arxiv_id, observed 2026-05-14T21:32:59.636633Z

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 7899d0f8-2023-40ab-896d-4d2f44f7a3fe · inbound

PhoneWorld: Scaling Phone-Use Agent Environments cites this paper.

PhoneWorld: Scaling Phone-Use Agent Environments EnvGen: Generating and Adapting Environments via LLMs for Training Embodied Agents

Reference 15

Resolution: verified exact; arxiv_id, observed 2026-06-29T07:43:13.450816Z

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 a8e166e6-e4ad-4897-8dd6-1a3a5dafdf44 · inbound

Agentic Environment Engineering for Large Language Models: A Survey of Environment Modeling, Synthesis, Evaluation, and Application cites this paper.

Agentic Environment Engineering for Large Language Models: A Survey of Environment Modeling, Synthesis, Evaluation, and Application EnvGen: Generating and Adapting Environments via LLMs for Training Embodied Agents

Reference 175

Resolution: verified exact; arxiv_id, observed 2026-06-27T09:50:48.420169Z

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 373f323e-71ed-47fe-b1ef-ce260a5f940a · inbound

PhoneBuddy: Training Open Models for Agentic Phone Use cites this paper.

PhoneBuddy: Training Open Models for Agentic Phone Use EnvGen: Generating and Adapting Environments via LLMs for Training Embodied Agents

Reference 39

Resolution: metadata mismatch; arxiv_id, observed 2026-07-04T10:59:46.541174Z

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.