Paper Citation Record · LEDGER

Compositional Instruction Following with Language Models and Reinforcement Learning

As of 15 August 2026, this Paper Citation Record lists 14 of 14 outbound references and 0 inbound Pith citation observations for arXiv:2501.12539.

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

pith.paper-citation-record.v1
2501.12539 v1

Coverage vector

measured 14 of 14 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T17:09:05.524331Z

measured 14 of 14 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

14 of 14 outbound references displayed

verified exact0
verified fuzzy8
unresolved6
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 53d25c1f-e598-4f57-ad13-dc8614f6e6ef · outbound

This paper cites PaLM-E: An Embodied Multimodal Language Model.

Compositional Instruction Following with Language Models and Reinforcement Learning PaLM-E: An Embodied Multimodal Language Model

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-10T17:09:05.485897Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 15eb6f48-ebc4-4889-a759-953a7f74af36 · outbound

This paper cites What to do and how to do it: Translating natural language directives into temporal and dynamic logic representation for goal manage- ment and action execution.

Compositional Instruction Following with Language Models and Reinforcement Learning What to do and how to do it: Translating natural language directives into temporal and dynamic logic representation for goal manage- ment and action execution

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:09:05.687577Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation f058d9fb-aa64-422b-92bb-a57af12190c5 · outbound

This paper cites Kingma and Jimmy Ba.

Compositional Instruction Following with Language Models and Reinforcement Learning Kingma and Jimmy Ba

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:09:05.675746Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation ca8966e0-c391-4b52-a85c-2571b0397158 · outbound

This paper cites How to reuse and compose knowledge for a lifetime of tasks: A survey on continual learning and functional composition.

Compositional Instruction Following with Language Models and Reinforcement Learning How to reuse and compose knowledge for a lifetime of tasks: A survey on continual learning and functional composition

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:09:05.662039Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 46d32564-b5c5-42e9-b308-4d8fef8b03ca · outbound

This paper cites Sentence-bert: Sentence embeddings using siamese bert-networks.

Compositional Instruction Following with Language Models and Reinforcement Learning Sentence-bert: Sentence embeddings using siamese bert-networks

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-10T17:09:05.503831Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 923fa403-9544-4299-80ee-aa4860f91c6a · outbound

This paper cites Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks.

Compositional Instruction Following with Language Models and Reinforcement Learning Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-10T17:09:05.507843Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 87e3f83a-b16e-4fa6-8f57-a0282c5e15f2 · outbound

This paper cites Lin, Sam Thomson, Charles Chen, Subhro Roy, Emmanouil An- tonios Platanios, Adam Pauls, Dan Klein, Jason Eisner, and Ben Van Durme.

Compositional Instruction Following with Language Models and Reinforcement Learning Lin, Sam Thomson, Charles Chen, Subhro Roy, Emmanouil An- tonios Platanios, Adam Pauls, Dan Klein, Jason Eisner, and Ben Van Durme

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:09:05.642838Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 51408b7d-d81b-4ba9-b2fd-16610257069d · outbound

This paper cites As shown, many of these expressions are not consistent or needlessly complicated.

Compositional Instruction Following with Language Models and Reinforcement Learning As shown, many of these expressions are not consistent or needlessly complicated

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:09:05.620365Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 85eb2b0a-de91-4ca4-8e86-6483f5a390be · outbound

This paper cites Transporter networks: Rearranging the visual world for robotic manipulation.Conference on Robot Learning (CoRL),.

Compositional Instruction Following with Language Models and Reinforcement Learning Transporter networks: Rearranging the visual world for robotic manipulation.Conference on Robot Learning (CoRL),

Reference 2018

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:09:05.631826Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation b7aa9363-60c5-4f48-aa07-d78c3ef7f23d · outbound

This paper cites Minigrid & Miniworld: Modular & Customizable Reinforcement Learning Environments for Goal-Oriented Tasks.

Compositional Instruction Following with Language Models and Reinforcement Learning Minigrid & Miniworld: Modular & Customizable Reinforcement Learning Environments for Goal-Oriented Tasks

Reference 2019

Resolution: unresolved; no resolver link, observed 2026-08-10T17:09:05.477155Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b1dafcec-c6c4-4a3f-9042-ef489039dba9 · outbound

This paper cites RT-1: Robotics Transformer for Real-World Control at Scale.

Compositional Instruction Following with Language Models and Reinforcement Learning RT-1: Robotics Transformer for Real-World Control at Scale

Reference 2020

Resolution: unresolved; no resolver link, observed 2026-08-10T17:09:05.467025Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 77624d8f-c01e-4127-9d67-66e19e4ce902 · outbound

This paper cites MPNet: Masked and Permuted Pre-training for Language Understanding.

Compositional Instruction Following with Language Models and Reinforcement Learning MPNet: Masked and Permuted Pre-training for Language Understanding

Reference 2021

Resolution: unresolved; no resolver link, observed 2026-08-10T17:09:05.516089Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 960fdd52-4c0f-4fe1-b4b6-8ece63097e0b · outbound

This paper cites Eager: Asking and answering questions for automatic reward shaping in language-guided rl.Advances in Neural Information Processing Systems, 35:12478–12490,.

Compositional Instruction Following with Language Models and Reinforcement Learning Eager: Asking and answering questions for automatic reward shaping in language-guided rl.Advances in Neural Information Processing Systems, 35:12478–12490,

Reference 2022

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:09:05.712760Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation d415dc0d-2be5-4596-b525-0f4866a8e469 · outbound

This paper cites BERT: pre-training of deep bidi- rectional transformers for language understanding.

Compositional Instruction Following with Language Models and Reinforcement Learning BERT: pre-training of deep bidi- rectional transformers for language understanding

Reference 2023

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:09:05.699724Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Pith citing papers

No inbound Pith citation observations are available.