Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
LMAct: A Benchmark for In-Context Imitation Learning with Long Multimodal Demonstrations
As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2412.01441.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-11T14:42:18.143488Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-21T07:14:02.611067Z
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 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 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 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 2026-08-11T06:34:44.6726+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 2026-08-11T06:34:44.6726+00:00.