Paper Citation Record · LEDGER

Prompter: Utilizing Large Language Model Prompting for a Data Efficient Embodied Instruction Following

As of 12 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2211.03267.

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

pith.paper-citation-record.v1
2211.03267 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T00:47:48.562595Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T17:18:43.821443Z

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 102fb591-67d6-4b2b-bc21-f7c12a2f7b38 · inbound

Multi-Modal Grounded Planning and Efficient Replanning For Learning Embodied Agents with A Few Examples cites this paper.

Multi-Modal Grounded Planning and Efficient Replanning For Learning Embodied Agents with A Few Examples Prompter: Utilizing Large Language Model Prompting for a Data Efficient Embodied Instruction Following

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-11T05:42:03.756539Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f1f7d24b-6782-46e0-bfd7-41389ec7254a · inbound

ESCAPE: Episodic Spatial Memory and Adaptive Execution Policy for Long-Horizon Mobile Manipulation cites this paper.

ESCAPE: Episodic Spatial Memory and Adaptive Execution Policy for Long-Horizon Mobile Manipulation Prompter: Utilizing Large Language Model Prompting for a Data Efficient Embodied Instruction Following

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-05-10T13:10:26.305694Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 2026526f-29fd-4498-ad29-ebd53f07af88 · inbound

RePlan-Bot: Multi-Level Replanning for Embodied Instruction Following cites this paper.

RePlan-Bot: Multi-Level Replanning for Embodied Instruction Following Prompter: Utilizing Large Language Model Prompting for a Data Efficient Embodied Instruction Following

Reference 9

Resolution: verified exact; arxiv_id, observed 2026-06-29T21:23:58.809665Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 3fcc50e3-5c4a-43a3-b01d-0c9b07f7d9e7 · inbound

Qwen-RobotWorld Technical Report: Unifying Embodied World Modeling through Language-Conditioned Video Generation cites this paper.

Qwen-RobotWorld Technical Report: Unifying Embodied World Modeling through Language-Conditioned Video Generation Prompter: Utilizing Large Language Model Prompting for a Data Efficient Embodied Instruction Following

Reference 237

Resolution: verified exact; arxiv_id, observed 2026-07-03T17:18:43.824762Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 0b030c75-cc13-410b-b866-52d33f8a18f9 · inbound

Qwen-Audio-VAE Technical Report cites this paper.

Qwen-Audio-VAE Technical Report Prompter: Utilizing Large Language Model Prompting for a Data Efficient Embodied Instruction Following

Reference 244

Resolution: unresolved; no resolver link, observed 2026-07-14T03:31:19.309532Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4cfc3c25-8ebc-4d17-80c5-34f46da38fe3 · inbound

GraphThink: Graph-Enhanced LLM Thinking for Long-Horizon Embodied Task Planning cites this paper.

GraphThink: Graph-Enhanced LLM Thinking for Long-Horizon Embodied Task Planning Prompter: Utilizing Large Language Model Prompting for a Data Efficient Embodied Instruction Following

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-12T00:47:48.562595Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.