Paper Citation Record · LEDGER

AdaptAgent: Adapting Multimodal Web Agents with Few-Shot Learning from Human Demonstrations

As of 17 August 2026, this Paper Citation Record lists 63 of 63 outbound references and 6 inbound Pith citation observations for arXiv:2411.13451.

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

pith.paper-citation-record.v1
2411.13451 v1

Coverage vector

measured 63 of 63 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T16:27:47.950451Z

measured 69 of 69 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T00:39:33.284170Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-01T19:36:08.845862Z

Reference resolution

63 of 63 outbound references displayed

verified exact0
verified fuzzy21
unresolved41
parse uncertain0
malformed identifier1
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 36dc160f-1a51-4c9d-b95a-67b8bd07de61 · outbound

This paper cites Apprenticeship learning via inverse reinforcement learning.

AdaptAgent: Adapting Multimodal Web Agents with Few-Shot Learning from Human Demonstrations Apprenticeship learning via inverse reinforcement learning

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T16:27:48.653399Z

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Observation b0fa7292-210a-4f63-abd5-d8d2523f5af9 · outbound

This paper cites GPT-4 Technical Report.

AdaptAgent: Adapting Multimodal Web Agents with Few-Shot Learning from Human Demonstrations GPT-4 Technical Report

Reference 2

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Observation 512697fa-9823-4bf3-9468-0c11d5ac94a3 · outbound

This paper cites A survey of robot learning from demonstration.

AdaptAgent: Adapting Multimodal Web Agents with Few-Shot Learning from Human Demonstrations A survey of robot learning from demonstration

Reference 3

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Observation d094a3c2-ee60-4ade-9a53-5a077effa084 · outbound

This paper cites In-Context Learning with Long-Context Models: An In-Depth Exploration.

AdaptAgent: Adapting Multimodal Web Agents with Few-Shot Learning from Human Demonstrations In-Context Learning with Long-Context Models: An In-Depth Exploration

Reference 4

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Observation 22048b7f-6e44-48f6-88c3-a0c4f462d600 · outbound

This paper cites WorkArena++: Towards Compositional Planning and Reasoning-based Common Knowledge Work Tasks.

AdaptAgent: Adapting Multimodal Web Agents with Few-Shot Learning from Human Demonstrations WorkArena++: Towards Compositional Planning and Reasoning-based Common Knowledge Work Tasks

Reference 5

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Source-reported events for the cited work

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Observation bc4cf55c-5ee0-4089-9157-db24a5ba320a · outbound

This paper cites Robots that imitate humans.

AdaptAgent: Adapting Multimodal Web Agents with Few-Shot Learning from Human Demonstrations Robots that imitate humans

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T16:27:48.630462Z

Source-reported events for the cited work

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Observation bbfb3c10-2aed-4e9b-b3f0-1affec31d539 · outbound

This paper cites Extrapolating beyond sub- optimal demonstrations via inverse reinforcement learning from observations.

AdaptAgent: Adapting Multimodal Web Agents with Few-Shot Learning from Human Demonstrations Extrapolating beyond sub- optimal demonstrations via inverse reinforcement learning from observations

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T16:27:48.619461Z

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Observation fee9e695-b9f0-47a0-a74b-f4e9d8d28ea4 · outbound

This paper cites Language Models are Few-Shot Learners.

AdaptAgent: Adapting Multimodal Web Agents with Few-Shot Learning from Human Demonstrations Language Models are Few-Shot Learners

Reference 8

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Observation 8f42f47b-25d0-4b60-b9e3-1b9078764edd · outbound

This paper cites Learning and reproduction of gestures by imitation.

AdaptAgent: Adapting Multimodal Web Agents with Few-Shot Learning from Human Demonstrations Learning and reproduction of gestures by imitation

Reference 9

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Observation 5ca0d8fa-5faf-4810-8133-a0efbaca725b · outbound

This paper cites On learning, representing, and generalizing a task in a humanoid robot.

AdaptAgent: Adapting Multimodal Web Agents with Few-Shot Learning from Human Demonstrations On learning, representing, and generalizing a task in a humanoid robot

Reference 10

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Source-reported events for the cited work

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Observation 10ef0918-974e-4a62-8ca4-3d71230ee7ab · outbound

This paper cites Learning from suboptimal demonstration via self-supervised reward regression.

AdaptAgent: Adapting Multimodal Web Agents with Few-Shot Learning from Human Demonstrations Learning from suboptimal demonstration via self-supervised reward regression

Reference 11

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Observation 68567748-7b01-4b7d-a599-8d198d91e000 · outbound

This paper cites SeeClick: Harnessing GUI Grounding for Advanced Visual GUI Agents.

AdaptAgent: Adapting Multimodal Web Agents with Few-Shot Learning from Human Demonstrations SeeClick: Harnessing GUI Grounding for Advanced Visual GUI Agents

Reference 12

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Observation e6cfdd05-6927-4ae3-8f9a-8aa130279110 · outbound

This paper cites Model-based inverse reinforcement learning from visual demonstrations.

AdaptAgent: Adapting Multimodal Web Agents with Few-Shot Learning from Human Demonstrations Model-based inverse reinforcement learning from visual demonstrations

Reference 13

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Observation 26be4b1a-8596-4368-b384-83128fcb38a5 · outbound

This paper cites Mind2web: Towards a generalist agent for the web, 2023.

AdaptAgent: Adapting Multimodal Web Agents with Few-Shot Learning from Human Demonstrations Mind2web: Towards a generalist agent for the web, 2023

Reference 14

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Observation 645cd879-aeef-498c-bf16-62ed8b84eaa8 · outbound

This paper cites Inverse kkt: Learning cost functions of manipulation tasks from demonstrations.

AdaptAgent: Adapting Multimodal Web Agents with Few-Shot Learning from Human Demonstrations Inverse kkt: Learning cost functions of manipulation tasks from demonstrations

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T16:27:48.559417Z

Source-reported events for the cited work

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Observation 1f4cb291-fa46-4370-863c-debdc7cd83af · outbound

This paper cites Model-agnostic meta-learning for fast adap- tation of deep networks.

AdaptAgent: Adapting Multimodal Web Agents with Few-Shot Learning from Human Demonstrations Model-agnostic meta-learning for fast adap- tation of deep networks

Reference 16

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Observation 65dd1256-87f8-4b10-af70-77b851a19385 · outbound

This paper cites One-shot visual imitation learning via meta-learning.

AdaptAgent: Adapting Multimodal Web Agents with Few-Shot Learning from Human Demonstrations One-shot visual imitation learning via meta-learning

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T16:27:48.542552Z

Source-reported events for the cited work

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Observation da3549be-eb60-4837-8a12-47486dcd957a · outbound

This paper cites Explaining and Harnessing Adversarial Examples.

AdaptAgent: Adapting Multimodal Web Agents with Few-Shot Learning from Human Demonstrations Explaining and Harnessing Adversarial Examples

Reference 18

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Observation 503ce36d-62a1-49b0-be57-810cdaa47455 · outbound

This paper cites A real-world webagent with planning, long context understanding, and program synthesis, 2024.

AdaptAgent: Adapting Multimodal Web Agents with Few-Shot Learning from Human Demonstrations A real-world webagent with planning, long context understanding, and program synthesis, 2024

Reference 19

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Observation 6ade81d5-e693-4ba9-b627-95df74eee4fd · outbound

This paper cites WebVoyager: Building an End-to-End Web Agent with Large Multimodal Models.

AdaptAgent: Adapting Multimodal Web Agents with Few-Shot Learning from Human Demonstrations WebVoyager: Building an End-to-End Web Agent with Large Multimodal Models

Reference 20

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Observation 2a008cdd-c087-4a69-83af-a9655f8c39c7 · outbound

This paper cites Generative adversarial imitation learning.

AdaptAgent: Adapting Multimodal Web Agents with Few-Shot Learning from Human Demonstrations Generative adversarial imitation learning

Reference 21

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Observation a60f0ea9-a0eb-4ca4-ab11-b3057dcfe166 · outbound

This paper cites Cogagent: A visual language model for gui agents, 2023.

AdaptAgent: Adapting Multimodal Web Agents with Few-Shot Learning from Human Demonstrations Cogagent: A visual language model for gui agents, 2023

Reference 22

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Observation e878e8d1-cc08-4a6b-8d3a-7a2ae31b1a10 · outbound

This paper cites A data-driven approach for learning to control computers.

AdaptAgent: Adapting Multimodal Web Agents with Few-Shot Learning from Human Demonstrations A data-driven approach for learning to control computers

Reference 23

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Observation 23d1814c-6a2e-4bac-9db8-6dbb0f293a6c · outbound

This paper cites Imitation learning: A survey of learning methods.

AdaptAgent: Adapting Multimodal Web Agents with Few-Shot Learning from Human Demonstrations Imitation learning: A survey of learning methods

Reference 24

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Observation 4ae50598-436b-4acf-9b48-44c0a66cce34 · outbound

This paper cites Do BERTs Learn to Use Browser User Interface? Exploring Multi-Step Tasks with Unified Vision-and-Language BERTs.

AdaptAgent: Adapting Multimodal Web Agents with Few-Shot Learning from Human Demonstrations Do BERTs Learn to Use Browser User Interface? Exploring Multi-Step Tasks with Unified Vision-and-Language BERTs

Reference 25

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Observation 7e95e77f-1bf4-4590-b939-3e377113422d · outbound

This paper cites Data-efficient alignment of large language models with human feedback through natural language, 2023.

AdaptAgent: Adapting Multimodal Web Agents with Few-Shot Learning from Human Demonstrations Data-efficient alignment of large language models with human feedback through natural language, 2023

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T16:27:48.486085Z

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Observation 8d5919ed-eeac-4762-bc9a-291e66e85c36 · outbound

This paper cites DSPy: Compiling Declarative Language Model Calls into Self-Improving Pipelines.

AdaptAgent: Adapting Multimodal Web Agents with Few-Shot Learning from Human Demonstrations DSPy: Compiling Declarative Language Model Calls into Self-Improving Pipelines

Reference 27

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Observation e73b708a-d00e-4714-983a-66b3884d8548 · outbound

This paper cites VisualWebArena: Evaluating Multimodal Agents on Realistic Visual Web Tasks.

AdaptAgent: Adapting Multimodal Web Agents with Few-Shot Learning from Human Demonstrations VisualWebArena: Evaluating Multimodal Agents on Realistic Visual Web Tasks

Reference 28

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This paper cites Learning driving styles for autonomous vehicles from demonstration.

AdaptAgent: Adapting Multimodal Web Agents with Few-Shot Learning from Human Demonstrations Learning driving styles for autonomous vehicles from demonstration

Reference 29

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AdaptAgent: Adapting Multimodal Web Agents with Few-Shot Learning from Human Demonstrations AutoWebGLM: A Large Language Model-based Web Navigating Agent

Reference 30

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This paper cites Reinforcement Learning on Web Interfaces Using Workflow-Guided Exploration.

AdaptAgent: Adapting Multimodal Web Agents with Few-Shot Learning from Human Demonstrations Reinforcement Learning on Web Interfaces Using Workflow-Guided Exploration

Reference 31

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This paper cites What makes good data for alignment? a comprehensive study of automatic data selection in instruction tuning, 2024.

AdaptAgent: Adapting Multimodal Web Agents with Few-Shot Learning from Human Demonstrations What makes good data for alignment? a comprehensive study of automatic data selection in instruction tuning, 2024

Reference 32

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AdaptAgent: Adapting Multimodal Web Agents with Few-Shot Learning from Human Demonstrations Algorithms for inverse reinforcement learning

Reference 33

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AdaptAgent: Adapting Multimodal Web Agents with Few-Shot Learning from Human Demonstrations On First-Order Meta-Learning Algorithms

Reference 34

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AdaptAgent: Adapting Multimodal Web Agents with Few-Shot Learning from Human Demonstrations Experimental evidence on the productivity effects of generative artificial intelligence

Reference 35

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AdaptAgent: Adapting Multimodal Web Agents with Few-Shot Learning from Human Demonstrations Oracle AI agents help organizations achieve new levels of productivity, Sep 2024

Reference 36

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AdaptAgent: Adapting Multimodal Web Agents with Few-Shot Learning from Human Demonstrations Synatra: Turning Indirect Knowledge into Direct Demonstrations for Digital Agents at Scale

Reference 37

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AdaptAgent: Adapting Multimodal Web Agents with Few-Shot Learning from Human Demonstrations Training language models to follow instructions with human feedback

Reference 38

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AdaptAgent: Adapting Multimodal Web Agents with Few-Shot Learning from Human Demonstrations Alvinn: An autonomous land vehicle in a neural network

Reference 39

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AdaptAgent: Adapting Multimodal Web Agents with Few-Shot Learning from Human Demonstrations Direct preference optimization: Your language model is secretly a reward model

Reference 40

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AdaptAgent: Adapting Multimodal Web Agents with Few-Shot Learning from Human Demonstrations Recent advances in robot learning from demonstration

Reference 41

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AdaptAgent: Adapting Multimodal Web Agents with Few-Shot Learning from Human Demonstrations Your Transformer is Secretly Linear

Reference 42

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AdaptAgent: Adapting Multimodal Web Agents with Few-Shot Learning from Human Demonstrations Generalization guarantees for imitation learning

Reference 43

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AdaptAgent: Adapting Multimodal Web Agents with Few-Shot Learning from Human Demonstrations A reduction of imitation learning and structured prediction to no-regret online learning

Reference 44

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AdaptAgent: Adapting Multimodal Web Agents with Few-Shot Learning from Human Demonstrations Interactive robot task training through dialog and demonstration

Reference 45

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AdaptAgent: Adapting Multimodal Web Agents with Few-Shot Learning from Human Demonstrations Learning from demonstration

Reference 46

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AdaptAgent: Adapting Multimodal Web Agents with Few-Shot Learning from Human Demonstrations Dynamic movement primitives-a framework for motor control in humans and humanoid robotics

Reference 47

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AdaptAgent: Adapting Multimodal Web Agents with Few-Shot Learning from Human Demonstrations Evolutionary principles in self-referential learning

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T16:27:48.353433Z

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AdaptAgent: Adapting Multimodal Web Agents with Few-Shot Learning from Human Demonstrations Quantifying Language Models' Sensitivity to Spurious Features in Prompt Design or: How I learned to start worrying about prompt formatting

Reference 49

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AdaptAgent: Adapting Multimodal Web Agents with Few-Shot Learning from Human Demonstrations Aligning Language Models with Demonstrated Feedback

Reference 50

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This paper cites From pixels to ui actions: Learning to follow instructions via graphical user interfaces, 2023.

AdaptAgent: Adapting Multimodal Web Agents with Few-Shot Learning from Human Demonstrations From pixels to ui actions: Learning to follow instructions via graphical user interfaces, 2023

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T16:27:48.342472Z

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This paper cites World of bits: An open-domain platform for web-based agents.

AdaptAgent: Adapting Multimodal Web Agents with Few-Shot Learning from Human Demonstrations World of bits: An open-domain platform for web-based agents

Reference 52

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Observation 2ef92842-0c88-471d-a13d-6d7d8aa633b8 · outbound

This paper cites Mas- tering the game of go with deep neural networks and tree search.

AdaptAgent: Adapting Multimodal Web Agents with Few-Shot Learning from Human Demonstrations Mas- tering the game of go with deep neural networks and tree search

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-12T16:27:47.906781Z

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Observation 6c8b2aa1-93ed-451e-b316-991b8af3b423 · outbound

This paper cites Beyond Browsing: API-Based Web Agents.

AdaptAgent: Adapting Multimodal Web Agents with Few-Shot Learning from Human Demonstrations Beyond Browsing: API-Based Web Agents

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-12T16:27:47.911411Z

Source-reported events for the cited work

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Observation 2a439e34-46d5-400d-9a76-60ae2d227b13 · outbound

This paper cites Perception, cognition, and action in teams of robots.

AdaptAgent: Adapting Multimodal Web Agents with Few-Shot Learning from Human Demonstrations Perception, cognition, and action in teams of robots

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T16:27:48.316680Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 1767b3c0-e5e6-4c2c-bfd6-305adca70dc8 · outbound

This paper cites CogVLM: Visual Expert for Pretrained Language Models.

AdaptAgent: Adapting Multimodal Web Agents with Few-Shot Learning from Human Demonstrations CogVLM: Visual Expert for Pretrained Language Models

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-12T16:27:47.920413Z

Source-reported events for the cited work

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Observation eb410e8c-32bc-40f7-9df4-0412f7c5431a · outbound

This paper cites Transformers: State- of-the-art natural language processing.

AdaptAgent: Adapting Multimodal Web Agents with Few-Shot Learning from Human Demonstrations Transformers: State- of-the-art natural language processing

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T16:27:48.304753Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 1b2c5ae1-7234-4fb4-82b8-75dad0398fd1 · outbound

This paper cites Set-of-Mark Prompting Unleashes Extraordinary Visual Grounding in GPT-4V.

AdaptAgent: Adapting Multimodal Web Agents with Few-Shot Learning from Human Demonstrations Set-of-Mark Prompting Unleashes Extraordinary Visual Grounding in GPT-4V

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-12T16:27:47.928829Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 772a2a84-c345-4631-9b6e-71ce483761d2 · outbound

This paper cites ReAct: Synergizing Reasoning and Acting in Language Models.

AdaptAgent: Adapting Multimodal Web Agents with Few-Shot Learning from Human Demonstrations ReAct: Synergizing Reasoning and Acting in Language Models

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-12T16:27:47.933320Z

Source-reported events for the cited work

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Observation 8eb4bab8-bd01-4b1b-88f3-8fb586dbd0b3 · outbound

This paper cites Selfd: self-learning large-scale driving policies from the web.

AdaptAgent: Adapting Multimodal Web Agents with Few-Shot Learning from Human Demonstrations Selfd: self-learning large-scale driving policies from the web

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T16:27:48.292158Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 677bf8aa-74db-4028-a681-dad0d6b8755c · outbound

This paper cites Group Preference Optimization: Few-Shot Alignment of Large Language Models.

AdaptAgent: Adapting Multimodal Web Agents with Few-Shot Learning from Human Demonstrations Group Preference Optimization: Few-Shot Alignment of Large Language Models

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-12T16:27:47.941734Z

Source-reported events for the cited work

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Observation f5ddd3cf-0ac9-4a67-8ccc-b16bb853f23c · outbound

This paper cites Gpt-4v(ision) is a generalist web agent, if grounded.

AdaptAgent: Adapting Multimodal Web Agents with Few-Shot Learning from Human Demonstrations Gpt-4v(ision) is a generalist web agent, if grounded

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-12T16:27:47.946320Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 33e426d8-13ea-4add-9539-d3711507e979 · outbound

This paper cites ideal answers.

AdaptAgent: Adapting Multimodal Web Agents with Few-Shot Learning from Human Demonstrations ideal answers

Reference 63

Resolution: malformed identifier; raw_fallback, observed 2026-08-12T16:27:48.270464Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Pith citing papers

Observation 3c7bcfbb-7281-4ecf-adcc-28c37d490299 · inbound

Large Language Model-Brained GUI Agents: A Survey cites this paper.

Large Language Model-Brained GUI Agents: A Survey AdaptAgent: Adapting Multimodal Web Agents with Few-Shot Learning from Human Demonstrations

Reference 294

Resolution: verified exact; arxiv_id, observed 2026-05-19T11:08:27.935795Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 0ab2517b-68f6-48ab-8557-ccb0ef8e018c · inbound

How Far Are We from Generating Missing Modalities with Foundation Models? cites this paper.

How Far Are We from Generating Missing Modalities with Foundation Models? AdaptAgent: Adapting Multimodal Web Agents with Few-Shot Learning from Human Demonstrations

Reference 53

Resolution: verified exact; arxiv_id, observed 2026-05-25T08:15:33.568089Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 4cee231e-b9a5-4934-8753-36ce2714661d · inbound

A Survey of Self-Evolving Agents: What, When, How, and Where to Evolve on the Path to Artificial Super Intelligence cites this paper.

A Survey of Self-Evolving Agents: What, When, How, and Where to Evolve on the Path to Artificial Super Intelligence AdaptAgent: Adapting Multimodal Web Agents with Few-Shot Learning from Human Demonstrations

Reference 141

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation d2b029cd-acf1-4010-b500-ee287d712c1d · inbound

Meta-Tool: Efficient Few-Shot Tool Adaptation for Small Language Models cites this paper.

Meta-Tool: Efficient Few-Shot Tool Adaptation for Small Language Models AdaptAgent: Adapting Multimodal Web Agents with Few-Shot Learning from Human Demonstrations

Reference 49

Resolution: verified exact; arxiv_id, observed 2026-05-10T00:54:48.826369Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 98a0c1ce-927c-4561-819e-a0cfa7292d0f · inbound

Learning to Adapt: Self-Improving Web Agent via Cognitive-Aware Exploration cites this paper.

Learning to Adapt: Self-Improving Web Agent via Cognitive-Aware Exploration AdaptAgent: Adapting Multimodal Web Agents with Few-Shot Learning from Human Demonstrations

Reference 23

Resolution: verified exact; arxiv_id, observed 2026-07-01T19:36:08.847746Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation bba51d67-c2ef-4b44-a4a9-0d2a042fd53e · inbound

CoAdapt-GUI: Joint Workflow Context and Policy Adaptation for Unseen GUI Applications cites this paper.

CoAdapt-GUI: Joint Workflow Context and Policy Adaptation for Unseen GUI Applications AdaptAgent: Adapting Multimodal Web Agents with Few-Shot Learning from Human Demonstrations

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-16T00:39:33.284170Z

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