Paper Citation Record · LEDGER

LMAct: A Benchmark for In-Context Imitation Learning with Long Multimodal Demonstrations

As of 19 August 2026, this Paper Citation Record lists 35 of 35 outbound references and 8 inbound Pith citation observations for arXiv:2412.01441.

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

pith.paper-citation-record.v1
2412.01441 v3

Coverage vector

measured 35 of 35 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T04:25:49.930483Z

measured 43 of 43 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T11:16:29.737125Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-21T07:14:02.611067Z

Reference resolution

35 of 35 outbound references displayed

verified exact0
verified fuzzy15
unresolved18
parse uncertain0
malformed identifier1
metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 4f61bd1f-ad53-41f9-96b2-f37d4ab0f81f · outbound

This paper cites The claude 3 model family: Opus, sonnet, haiku.

LMAct: A Benchmark for In-Context Imitation Learning with Long Multimodal Demonstrations The claude 3 model family: Opus, sonnet, haiku

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:25:50.802401Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation c972dd1b-830c-4305-8ec5-b3f383934511 · outbound

This paper cites Chen, L., Lu, K., Rajeswaran, A., Lee, K., Grover, A., Laskin, M., Abbeel, P., Srinivas, A., and Mordatch, I.

LMAct: A Benchmark for In-Context Imitation Learning with Long Multimodal Demonstrations Chen, L., Lu, K., Rajeswaran, A., Lee, K., Grover, A., Laskin, M., Abbeel, P., Srinivas, A., and Mordatch, I

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:25:50.786495Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 9019d9a9-aea7-4e60-85e4-7007c4733807 · outbound

This paper cites Jack of All Trades, Master of Some, a Multi-Purpose Transformer Agent.

LMAct: A Benchmark for In-Context Imitation Learning with Long Multimodal Demonstrations Jack of All Trades, Master of Some, a Multi-Purpose Transformer Agent

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-12T04:25:49.771582Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8655f358-a42e-46be-ad5c-c745ac6fac42 · outbound

This paper cites W., Grau-Moya, J., Ruoss, A., Orseau, L., and Hutter, M.

LMAct: A Benchmark for In-Context Imitation Learning with Long Multimodal Demonstrations W., Grau-Moya, J., Ruoss, A., Orseau, L., and Hutter, M

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-12T04:25:49.778486Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6bc53b5d-ec16-4ccd-9b37-85846dff2984 · outbound

This paper cites Accessed: 2024-11-26.

LMAct: A Benchmark for In-Context Imitation Learning with Long Multimodal Demonstrations Accessed: 2024-11-26

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:25:50.769300Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 5e2c2bec-83fc-4127-ad9e-2994b8239687 · outbound

This paper cites Playing Atari with Deep Reinforcement Learning.

LMAct: A Benchmark for In-Context Imitation Learning with Long Multimodal Demonstrations Playing Atari with Deep Reinforcement Learning

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-12T04:25:49.803221Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5599ae45-43e0-4b91-bc7b-f6bc928a0338 · outbound

This paper cites Hello gpt-4o, 2024a.

LMAct: A Benchmark for In-Context Imitation Learning with Long Multimodal Demonstrations Hello gpt-4o, 2024a

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:25:50.743265Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation a8736a3a-d482-48c5-9bb7-9f1cc3d25f66 · outbound

This paper cites GPT-4o System Card.

LMAct: A Benchmark for In-Context Imitation Learning with Long Multimodal Demonstrations GPT-4o System Card

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-12T04:25:49.826543Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5b1d4099-aad8-486b-8ac0-268cf01704f5 · outbound

This paper cites Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context.

LMAct: A Benchmark for In-Context Imitation Learning with Long Multimodal Demonstrations Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-12T04:25:49.841132Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0cb6b272-845c-4156-8a36-153a9182a024 · outbound

This paper cites Scaling Instructable Agents Across Many Simulated Worlds.

LMAct: A Benchmark for In-Context Imitation Learning with Long Multimodal Demonstrations Scaling Instructable Agents Across Many Simulated Worlds

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-12T04:25:49.845816Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b7c0c764-1c8e-4b5d-873f-c5948c89303d · outbound

This paper cites REGENT: A retrieval-augmented generalist agent that can act in- context in new environments.

LMAct: A Benchmark for In-Context Imitation Learning with Long Multimodal Demonstrations REGENT: A retrieval-augmented generalist agent that can act in- context in new environments

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:25:50.709091Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 1da024ce-5f1e-4160-baa2-d27fe26bfac3 · outbound

This paper cites DeepMind Control Suite.

LMAct: A Benchmark for In-Context Imitation Learning with Long Multimodal Demonstrations DeepMind Control Suite

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-12T04:25:49.858050Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1f4e1671-b4d2-4d94-b5e1-11d765fda8e1 · outbound

This paper cites Atari-GPT: Benchmarking Multimodal Large Language Models as Low-Level Policies in Atari Games.

LMAct: A Benchmark for In-Context Imitation Learning with Long Multimodal Demonstrations Atari-GPT: Benchmarking Multimodal Large Language Models as Low-Level Policies in Atari Games

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-12T04:25:49.863261Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d0c58b0c-5663-4a1c-8322-e72e73e1e34f · outbound

This paper cites Why is prompting hard? Understanding prompts on binary sequence predictors.

LMAct: A Benchmark for In-Context Imitation Learning with Long Multimodal Demonstrations Why is prompting hard? Understanding prompts on binary sequence predictors

Reference 23

Resolution: metadata mismatch; local_arxiv, observed 2026-08-12T04:25:50.006761Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation d837c2d6-547b-4f1d-b216-4caff4549492 · outbound

This paper cites In-Context Learning Enables Robot Action Prediction in LLMs.

LMAct: A Benchmark for In-Context Imitation Learning with Long Multimodal Demonstrations In-Context Learning Enables Robot Action Prediction in LLMs

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-12T04:25:49.873674Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 27123ea8-b373-4ab1-8fb3-d83d52b2e668 · outbound

This paper cites adaptive agent.

LMAct: A Benchmark for In-Context Imitation Learning with Long Multimodal Demonstrations adaptive agent

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:25:50.691641Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation cabd335b-15b9-48c6-b44c-25bfb097863a · outbound

This paper cites Models, 2024b.

LMAct: A Benchmark for In-Context Imitation Learning with Long Multimodal Demonstrations Models, 2024b

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:25:50.724938Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation bce1da48-2685-4895-b1fa-651c5b48b828 · outbound

This paper cites general pattern machines.

LMAct: A Benchmark for In-Context Imitation Learning with Long Multimodal Demonstrations general pattern machines

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:25:50.673815Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 9c43d9df-290f-4aa9-aef0-87d9c3ae5b83 · outbound

This paper cites Take a deep breath and work on this problem step-by-step.

LMAct: A Benchmark for In-Context Imitation Learning with Long Multimodal Demonstrations Take a deep breath and work on this problem step-by-step

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:25:50.656669Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation cd11a01b-05eb-431e-8282-1a1322630f38 · outbound

This paper cites An alternative could be to virtually extend the context via retrieval based methods, e.g., REGENT (Sridhar et al., 2024), which trains a retrieval based agent.

LMAct: A Benchmark for In-Context Imitation Learning with Long Multimodal Demonstrations An alternative could be to virtually extend the context via retrieval based methods, e.g., REGENT (Sridhar et al., 2024), which trains a retrieval based agent

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:25:50.636976Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 138eb082-53fc-4511-84b2-5e4407e9703a · outbound

This paper cites knowing-doing.

LMAct: A Benchmark for In-Context Imitation Learning with Long Multimodal Demonstrations knowing-doing

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:25:50.618955Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation d14d9c31-7195-4636-abbb-440a5d288974 · outbound

This paper cites an unresolved cited work.

LMAct: A Benchmark for In-Context Imitation Learning with Long Multimodal Demonstrations Unresolved cited work

Reference 31

Resolution: unresolved; raw_fallback, observed 2026-08-12T04:25:50.579808Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation fe074856-3feb-45e8-8f7a-8f5ba5c23743 · outbound

This paper cites sanity check.

LMAct: A Benchmark for In-Context Imitation Learning with Long Multimodal Demonstrations sanity check

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:25:50.556921Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 7d9e2f77-2ee8-4581-866f-a9a74921de94 · outbound

This paper cites For completeness, we present all the ablation results in Tables A1 to A10.

LMAct: A Benchmark for In-Context Imitation Learning with Long Multimodal Demonstrations For completeness, we present all the ablation results in Tables A1 to A10

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:25:50.534528Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 4c701c19-b17f-4680-acb2-cafc73ef8c2a · outbound

This paper cites Note that o1-mini and o1-preview are text-only models and, therefore, cannot process RGB image observations.

LMAct: A Benchmark for In-Context Imitation Learning with Long Multimodal Demonstrations Note that o1-mini and o1-preview are text-only models and, therefore, cannot process RGB image observations

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:25:50.517992Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation eb2f2c57-2af6-4856-93b7-855676063cac · outbound

This paper cites Note that o1-mini and o1-preview are text-only and, thus, cannot process RGB observations.

LMAct: A Benchmark for In-Context Imitation Learning with Long Multimodal Demonstrations Note that o1-mini and o1-preview are text-only and, thus, cannot process RGB observations

Reference 35

Resolution: malformed identifier; raw_fallback, observed 2026-08-12T04:25:50.500345Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 23f837ab-237e-4c3b-aa5f-bc9cee06ade0 · outbound

This paper cites In-Context Imitation Learning via Next-Token Prediction.

LMAct: A Benchmark for In-Context Imitation Learning with Long Multimodal Demonstrations In-Context Imitation Learning via Next-Token Prediction

Reference 2012

Resolution: unresolved; no resolver link, observed 2026-08-12T04:25:49.765864Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b73a40ec-83e6-4379-817f-dd0508e80288 · outbound

This paper cites GPT-4 Technical Report.

LMAct: A Benchmark for In-Context Imitation Learning with Long Multimodal Demonstrations GPT-4 Technical Report

Reference 2013

Resolution: unresolved; no resolver link, observed 2026-08-12T04:25:49.808632Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b08283de-c09f-4cc1-9ee3-0ff735c69d59 · outbound

This paper cites Shaking the foundations: delusions in sequence models for interaction and control.

LMAct: A Benchmark for In-Context Imitation Learning with Long Multimodal Demonstrations Shaking the foundations: delusions in sequence models for interaction and control

Reference 2019

Resolution: unresolved; no resolver link, observed 2026-08-12T04:25:49.833514Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e6a6ccd1-e2cc-495c-b0e9-328d266b3a38 · outbound

This paper cites K., and Panov, A.

LMAct: A Benchmark for In-Context Imitation Learning with Long Multimodal Demonstrations K., and Panov, A

Reference 2021

Resolution: unresolved; no resolver link, observed 2026-08-12T04:25:49.751934Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bda496a3-7261-4297-a81d-5ad25e3707ea · outbound

This paper cites Many-Shot In-Context Learning in Multimodal Foundation Models.

LMAct: A Benchmark for In-Context Imitation Learning with Long Multimodal Demonstrations Many-Shot In-Context Learning in Multimodal Foundation Models

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-12T04:25:49.796437Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c75bc4dc-c733-4b01-8752-fb58feb5b1c0 · outbound

This paper cites Gemini: A Family of Highly Capable Multimodal Models.

LMAct: A Benchmark for In-Context Imitation Learning with Long Multimodal Demonstrations Gemini: A Family of Highly Capable Multimodal Models

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-12T04:25:49.731576Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cbe054a6-9fd5-495c-af01-a765058d9605 · outbound

This paper cites GameBench: Evaluating Strategic Reasoning Abilities of LLM Agents.

LMAct: A Benchmark for In-Context Imitation Learning with Long Multimodal Demonstrations GameBench: Evaluating Strategic Reasoning Abilities of LLM Agents

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-12T04:25:49.759564Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1f7f29f8-9d01-4dff-8441-24baffdc9061 · outbound

This paper cites FrontierMath: A Benchmark for Evaluating Advanced Mathematical Reasoning in AI.

LMAct: A Benchmark for In-Context Imitation Learning with Long Multimodal Demonstrations FrontierMath: A Benchmark for Evaluating Advanced Mathematical Reasoning in AI

Reference 2025

Resolution: unresolved; no resolver link, observed 2026-08-12T04:25:49.785818Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 47f14cad-dd49-4fec-88bd-3e7a3f3c2ec6 · outbound

This paper cites Sample observations for each state representation format from our tic-tac- toe environment.

LMAct: A Benchmark for In-Context Imitation Learning with Long Multimodal Demonstrations Sample observations for each state representation format from our tic-tac- toe environment

Reference 2600

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:25:50.599979Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Pith citing papers

Observation 8e1248b0-a985-460f-a564-2585acc1bb8c · inbound

BALROG: Benchmarking Agentic LLM and VLM Reasoning On Games cites this paper.

BALROG: Benchmarking Agentic LLM and VLM Reasoning On Games LMAct: A Benchmark for In-Context Imitation Learning with Long Multimodal Demonstrations

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-12T16:21:08.336824Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a2c90cd5-e3bc-40e4-adfd-d413b1486859 · inbound

Harnessing Language for Coordination: A Framework and Benchmark for LLM-Driven Multi-Agent Control cites this paper.

Harnessing Language for Coordination: A Framework and Benchmark for LLM-Driven Multi-Agent Control LMAct: A Benchmark for In-Context Imitation Learning with Long Multimodal Demonstrations

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-11T14:42:18.143488Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 13e8c5e2-ae42-4c78-92bb-ccdfaf60b886 · inbound

Mastering Board Games by External and Internal Planning with Language Models cites this paper.

Mastering Board Games by External and Internal Planning with Language Models LMAct: A Benchmark for In-Context Imitation Learning with Long Multimodal Demonstrations

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-12T00:59:58.985560Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e6abf4a5-82f5-48b3-b248-ead0e00d8691 · inbound

Disentangling Exploration of Large Language Models by Optimal Exploitation cites this paper.

Disentangling Exploration of Large Language Models by Optimal Exploitation LMAct: A Benchmark for In-Context Imitation Learning with Long Multimodal Demonstrations

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-10T20:18:58.431750Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 28463934-56eb-473d-b7ed-8149deb97f6b · inbound

LLMs are Greedy Agents: Effects of RL Fine-tuning on Decision-Making Abilities cites this paper.

LLMs are Greedy Agents: Effects of RL Fine-tuning on Decision-Making Abilities LMAct: A Benchmark for In-Context Imitation Learning with Long Multimodal Demonstrations

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-16T11:16:29.737125Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4ac9bc53-09db-4ea1-a4e6-a698a1049401 · inbound

The Illusion of Thinking: Understanding the Strengths and Limitations of Reasoning Models via the Lens of Problem Complexity cites this paper.

The Illusion of Thinking: Understanding the Strengths and Limitations of Reasoning Models via the Lens of Problem Complexity LMAct: A Benchmark for In-Context Imitation Learning with Long Multimodal Demonstrations

Reference 39

Resolution: verified exact; arxiv_id, observed 2026-05-15T16:10:31.567261Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 9fa36af7-2daf-453a-8031-c0bfb98d7f1b · inbound

Instruction Agent: Enhancing Agent with Expert Demonstration cites this paper.

Instruction Agent: Enhancing Agent with Expert Demonstration LMAct: A Benchmark for In-Context Imitation Learning with Long Multimodal Demonstrations

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-04T22:55:20.912878Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fb825063-655f-4ad6-98ce-cc7398056407 · inbound

Training Language Agents to Learn from Experience cites this paper.

Training Language Agents to Learn from Experience LMAct: A Benchmark for In-Context Imitation Learning with Long Multimodal Demonstrations

Reference 8

Resolution: verified exact; arxiv_id, observed 2026-05-21T07:14:02.612567Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.