Paper Citation Record · LEDGER

Human Instruction-Following with Deep Reinforcement Learning via Transfer-Learning from Text

As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2005.09382.

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

pith.paper-citation-record.v1
2005.09382 v1

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 2026-08-10T06:31:04.303077+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T14:28:19.225275Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-21T14:41:26.604650Z

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 6753a5e4-5aa7-4ec8-a98f-3b7bb084cd6b · inbound

Aligning AI With Shared Human Values cites this paper.

Aligning AI With Shared Human Values Human Instruction-Following with Deep Reinforcement Learning via Transfer-Learning from Text

Reference 13

Resolution: verified exact; arxiv_id, observed 2026-05-21T14:41:26.607238Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 5bb1d816-f07f-4898-bfe0-9a9c499143a4 · inbound

Do As I Can, Not As I Say: Grounding Language in Robotic Affordances cites this paper.

Do As I Can, Not As I Say: Grounding Language in Robotic Affordances Human Instruction-Following with Deep Reinforcement Learning via Transfer-Learning from Text

Reference 38

Resolution: verified exact; arxiv_id, observed 2026-05-10T22:24:06.440001Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation baeeec8e-5093-4a97-a76a-eb21c213ccd4 · inbound

Open X-Embodiment: Robotic Learning Datasets and RT-X Models cites this paper.

Open X-Embodiment: Robotic Learning Datasets and RT-X Models Human Instruction-Following with Deep Reinforcement Learning via Transfer-Learning from Text

Reference 108

Resolution: verified exact; arxiv_id, observed 2026-05-11T17:23:24.523815Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation a39db543-fe43-42a3-8c3b-3c06e58430b3 · inbound

Inductive Biases for Zero-shot Systematic Generalization in Language-informed Reinforcement Learning cites this paper.

Inductive Biases for Zero-shot Systematic Generalization in Language-informed Reinforcement Learning Human Instruction-Following with Deep Reinforcement Learning via Transfer-Learning from Text

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-10T14:28:19.225275Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f9e5e4fc-9e4b-413a-b71b-5f24f81619dc · inbound

Learning Instruction-Following Policies through Open-Ended Instruction Relabeling with Large Language Models cites this paper.

Learning Instruction-Following Policies through Open-Ended Instruction Relabeling with Large Language Models Human Instruction-Following with Deep Reinforcement Learning via Transfer-Learning from Text

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-06T23:03:29.615893Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ed85bc50-5c54-4515-857c-ebbdac9d6851 · inbound

Embodied AI Agents: Modeling the World cites this paper.

Embodied AI Agents: Modeling the World Human Instruction-Following with Deep Reinforcement Learning via Transfer-Learning from Text

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-06T22:10:27.481847Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.