Paper Citation Record · LEDGER

Building Generalizable Agents with a Realistic and Rich 3D Environment

As of 5 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 10 inbound Pith citation observations for arXiv:1801.02209.

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

pith.paper-citation-record.v1
1801.02209 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 10 of 10 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-05T06:32:48.257954+00:00

measured 10 of 10 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T13:58:11.571984Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-05T14:51:10.084271Z

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 87fd3eb8-d30c-4b11-8bd4-2b81c7682b0e · inbound

On Evaluation of Embodied Navigation Agents cites this paper.

On Evaluation of Embodied Navigation Agents Building Generalizable Agents with a Realistic and Rich 3D Environment

Reference 30

Resolution: verified exact; arxiv_id, observed 2026-05-13T22:41:57.340920Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 10e3d329-a291-4fb4-93c1-795b619403d6 · inbound

Continual Reinforcement Learning with Diversity Exploration and Adversarial Self-Correction cites this paper.

Continual Reinforcement Learning with Diversity Exploration and Adversarial Self-Correction Building Generalizable Agents with a Realistic and Rich 3D Environment

Reference 32

Resolution: verified exact; local_arxiv, observed 2026-05-25T19:06:08.988779Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 7ebac3b0-78dd-4337-bc84-b1bf5c974850 · inbound

Emergence of Exploratory Look-Around Behaviors through Active Observation Completion cites this paper.

Emergence of Exploratory Look-Around Behaviors through Active Observation Completion Building Generalizable Agents with a Realistic and Rich 3D Environment

Reference 42

Resolution: verified exact; local_arxiv, observed 2026-05-25T15:20:57.991058Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 3ee3bdcc-ecf4-4094-9d3d-8a861d31c969 · inbound

Why Build an Assistant in Minecraft? cites this paper.

Why Build an Assistant in Minecraft? Building Generalizable Agents with a Realistic and Rich 3D Environment

Reference 95

Resolution: verified exact; local_arxiv, observed 2026-05-24T18:24:48.443210Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation ab4340ef-e7f8-4c11-be21-a8307032c15d · inbound

DriveQA: Passing the Driving Knowledge Test cites this paper.

DriveQA: Passing the Driving Knowledge Test Building Generalizable Agents with a Realistic and Rich 3D Environment

Reference 85

Resolution: unresolved; no resolver link, observed 2026-08-05T13:58:11.571984Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 50c59310-5721-42d5-8847-c5a95e8879d5 · inbound

E3VS-Bench: A Benchmark for Viewpoint-Dependent Active Perception in 3D Gaussian Splatting Scenes cites this paper.

E3VS-Bench: A Benchmark for Viewpoint-Dependent Active Perception in 3D Gaussian Splatting Scenes Building Generalizable Agents with a Realistic and Rich 3D Environment

Reference 39

Resolution: metadata mismatch; local_arxiv, observed 2026-07-05T14:51:10.090114Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 1ff0ce4c-173c-4142-ada8-347362625ee2 · inbound

Extending Embodied Question Answering from Perception to Decision cites this paper.

Extending Embodied Question Answering from Perception to Decision Building Generalizable Agents with a Realistic and Rich 3D Environment

Reference 56

Resolution: verified exact; local_arxiv, observed 2026-06-29T21:33:58.971338Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 48e1cc97-37e3-43b3-b016-405d69e2ef20 · inbound

ERQA-Plus: A Diagnostic Benchmark for Reasoning in Embodied AI cites this paper.

ERQA-Plus: A Diagnostic Benchmark for Reasoning in Embodied AI Building Generalizable Agents with a Realistic and Rich 3D Environment

Reference 33

Resolution: verified exact; local_arxiv, observed 2026-07-03T21:18:59.506472Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 575fefd1-8908-4ea7-b2ad-96899b3d6c93 · inbound

LLawCo: Learning Laws of Cooperation for Modeling Embodied Multi-Agent Behavior cites this paper.

LLawCo: Learning Laws of Cooperation for Modeling Embodied Multi-Agent Behavior Building Generalizable Agents with a Realistic and Rich 3D Environment

Reference 16

Resolution: metadata mismatch; local_arxiv, observed 2026-06-29T19:43:55.322410Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 183eb328-8d13-4567-8128-3ccd77c2758b · inbound

A Comprehensive Survey and Systematic Real-World Evaluation of Embodied Vision-and-Language Navigation cites this paper.

A Comprehensive Survey and Systematic Real-World Evaluation of Embodied Vision-and-Language Navigation Building Generalizable Agents with a Realistic and Rich 3D Environment

Reference 91

Resolution: unresolved; no resolver link, observed 2026-07-14T15:39:59.878169Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.