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Paper Citation Record · LEDGER

AppWorld-UL: Benchmarking Diverse Agent-User Interactions for Tool-Use

As of 10 August 2026, this Paper Citation Record lists 53 of 53 outbound references and 0 inbound Pith citation observations for arXiv:2607.20536.

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

pith.paper-citation-record.v1
2607.20536 v1

Coverage vector

measured 53 of 53 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-02T07:36:55.011277Z

measured 53 of 53 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+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

53 of 53 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved52
  • parse uncertain1
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 3efdc218-144f-43b2-ba01-4e55c7ce3709 · outbound

This paper cites Langley , title =.

AppWorld-UL: Benchmarking Diverse Agent-User Interactions for Tool-Use Langley , title =

Reference 1

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source=arxiv_source observed=2026-08-02T07:36:48.517359Z digest=sha256:88b6dc4b31f191feb526cbad4b7e262c74c702e2d333b1ac96670123ea4737ee

Observation 355bbb3d-7073-484b-af03-75ab73c50eb5 · outbound

This paper cites an unresolved cited work.

AppWorld-UL: Benchmarking Diverse Agent-User Interactions for Tool-Use Unresolved cited work

Reference 2

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source=arxiv_source observed=2026-08-02T07:36:48.605709Z digest=sha256:de8cef907a160dcec37d84e071c33fe7f68c81fe1fa2b2888aa3e8808018daf6

Observation dc5cf1a2-6680-46bf-9ff4-1a15caecd495 · outbound

This paper cites an unresolved cited work.

AppWorld-UL: Benchmarking Diverse Agent-User Interactions for Tool-Use Unresolved cited work

Reference 3

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source=arxiv_source observed=2026-08-02T07:36:48.634436Z digest=sha256:36f735c9d082fa4d0495dd0c75d30c95bcc9cd8083a9052be20ec47e47dae787

Observation 7f2a4149-83eb-4d77-ad36-b788b30c8ace · outbound

This paper cites an unresolved cited work.

AppWorld-UL: Benchmarking Diverse Agent-User Interactions for Tool-Use Unresolved cited work

Reference 4

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source=arxiv_source observed=2026-08-02T07:36:48.694273Z digest=sha256:298e1979b6475241f8a4071cc48e51717362ee0b38c3e869a9b6d25918653d24

Observation 25c2e528-2380-4563-8ddd-e0d240e0429a · outbound

This paper cites an unresolved cited work.

AppWorld-UL: Benchmarking Diverse Agent-User Interactions for Tool-Use Unresolved cited work

Reference 5

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source=arxiv_source observed=2026-08-02T07:36:48.741398Z digest=sha256:3388b38b6907ece2bc7f03c0f118ff83a256c041b192b80f8ee406e2d8f4ede9

Observation bae41c90-021b-4728-95ee-f1abc39d013e · outbound

This paper cites an unresolved cited work.

AppWorld-UL: Benchmarking Diverse Agent-User Interactions for Tool-Use Unresolved cited work

Reference 6

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source=arxiv_source observed=2026-08-02T07:36:48.817404Z digest=sha256:31596d99d46a08976825d4ac7e56e385905e1fbb0ae7b0903bdf48de918a5e68

Observation c82c9d0a-f448-488e-b566-3af110b3bbe1 · outbound

This paper cites Newell and P.

AppWorld-UL: Benchmarking Diverse Agent-User Interactions for Tool-Use Newell and P

Reference 7

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source=arxiv_source observed=2026-08-02T07:36:48.876018Z digest=sha256:f2d645d047f688fb27aa45689ddef6d1602f73ddfc07e49fae4a5c63154a8943

Observation eba2cbe9-97d7-4162-965e-9a616d65274b · outbound

This paper cites an unresolved cited work.

AppWorld-UL: Benchmarking Diverse Agent-User Interactions for Tool-Use Unresolved cited work

Reference 8

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source=arxiv_source observed=2026-08-02T07:36:48.923054Z digest=sha256:459ef17fda1c838d31080b080a934544c16f82c263feb6e962217ca94aaec813

Observation 25b05138-094b-4d68-998d-44a7c7c5991e · outbound

This paper cites 2024 , url =.

AppWorld-UL: Benchmarking Diverse Agent-User Interactions for Tool-Use 2024 , url =

Reference 9

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source=arxiv_source observed=2026-08-02T07:36:48.977758Z digest=sha256:27ffc5d747cb0ac6f2552b284201b3b670310d3208c668ad36467c3a6403b222

Observation 664c8055-9fe9-40d7-8fdb-5aab052b677d · outbound

This paper cites 2024 , isbn =.

AppWorld-UL: Benchmarking Diverse Agent-User Interactions for Tool-Use 2024 , isbn =

Reference 10

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source=arxiv_source observed=2026-08-02T07:36:49.058278Z digest=sha256:e43bd9884ed884fb9de9fd799e3c9ef44aa4bd28a11ac4ed181384db0dbbfd58

Observation 43f210db-2852-4caf-bdf5-edf85a0396c1 · outbound

This paper cites 2025 , isbn =.

AppWorld-UL: Benchmarking Diverse Agent-User Interactions for Tool-Use 2025 , isbn =

Reference 11

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source=arxiv_source observed=2026-08-02T07:36:49.141251Z digest=sha256:86d8095b46c19e7dffa6e03a82a0d71ed8ebdf35c46ff7092767f8df48d2928c

Observation f577f408-5ec9-488e-a1cf-9d4379cdc1ac · outbound

This paper cites 2025 , url =.

AppWorld-UL: Benchmarking Diverse Agent-User Interactions for Tool-Use 2025 , url =

Reference 13

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source=arxiv_source observed=2026-08-02T07:36:49.271218Z digest=sha256:b0cf208118e0d6173dd2cfcfc6f278953776de07cbfca4216fc21883f8d1be15

Observation adc1bba3-b1ea-4b01-bb01-b045f99345be · outbound

This paper cites 2024 , isbn =.

AppWorld-UL: Benchmarking Diverse Agent-User Interactions for Tool-Use 2024 , isbn =

Reference 14

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source=arxiv_source observed=2026-08-02T07:36:49.337147Z digest=sha256:60c57c0172ad611abfc8635428b68ded15b0edb50ade93e348cd17a6638a0cd2

Observation c6759381-b1c2-43fa-8a4a-9b8242fc280d · outbound

This paper cites 2024 , isbn =.

AppWorld-UL: Benchmarking Diverse Agent-User Interactions for Tool-Use 2024 , isbn =

Reference 15

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source=arxiv_source observed=2026-08-02T07:36:49.364486Z digest=sha256:3e5eb2c36897c82f2a34519b806b9a73bdd3d31f5bf2dae8ab847531a9a197e2

Observation 9e7bb591-3ae0-42a8-b2f1-ebe31359cb5a · outbound

This paper cites 2022 , url =.

AppWorld-UL: Benchmarking Diverse Agent-User Interactions for Tool-Use 2022 , url =

Reference 16

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source=arxiv_source observed=2026-08-02T07:36:49.424814Z digest=sha256:78be5bd61111bd3fdc186e9da3201cc3e22a8d5a89ca258e8b609ac8529cc424

Observation 7da16753-11d9-4d8e-8a02-adf703b82c3b · outbound

This paper cites 2024 , eprint=.

AppWorld-UL: Benchmarking Diverse Agent-User Interactions for Tool-Use 2024 , eprint=

Reference 17

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source=arxiv_source observed=2026-08-02T07:36:49.471506Z digest=sha256:7ed4c07603c3e74d516aaa377b1ea1eccefed4ea2332b974172cf6f5bf0a78ff

Observation 21272786-2ef8-495c-9cdc-8b75605bb01a · outbound

This paper cites 2025 , eprint=.

AppWorld-UL: Benchmarking Diverse Agent-User Interactions for Tool-Use 2025 , eprint=

Reference 18

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source=arxiv_source observed=2026-08-02T07:36:49.571420Z digest=sha256:7b4da278db27642231b517f290309cadbd90c085a9dc531ef5a045098e794a4d

Observation d57b60cb-4dc5-4e72-9846-613f7002a283 · outbound

This paper cites Gonzalez and Shishir G.

AppWorld-UL: Benchmarking Diverse Agent-User Interactions for Tool-Use Gonzalez and Shishir G

Reference 22

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source=arxiv_source observed=2026-08-02T07:36:49.935559Z digest=sha256:e296ad5bb041bc03c0ccc2a67f0d21fb0f63a68571c495cc4773399649ab6f0a

Observation 7b092c73-b9e1-4e53-aec5-a37749550c28 · outbound

This paper cites an unresolved cited work.

AppWorld-UL: Benchmarking Diverse Agent-User Interactions for Tool-Use Unresolved cited work

Reference 25

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source=arxiv_source observed=2026-08-02T07:36:50.184758Z digest=sha256:dbf79548f00bbe84f320eb1e4eb78f33fef5e4aeadb5b9337606169684921f31

Observation 46de64ed-59fc-487e-8bc9-146f530275b4 · outbound

This paper cites an unresolved cited work.

AppWorld-UL: Benchmarking Diverse Agent-User Interactions for Tool-Use Unresolved cited work

Reference 26

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source=arxiv_source observed=2026-08-02T07:36:50.264753Z digest=sha256:f163491b0e5105f96c55840af3368ac127bfbdfeef4787c0e17f1b0b7a94898b

Observation 851dd3a4-0445-4173-a0f6-ec61a7832dae · outbound

This paper cites Xu and Hao Zhu and Xuhui Zhou and Robert Lo and Abishek Sridhar and Xianyi Cheng and Tianyue Ou and Yonatan Bisk and Daniel Fried and Uri Alon and Graham Neubig , booktitle=.

AppWorld-UL: Benchmarking Diverse Agent-User Interactions for Tool-Use Xu and Hao Zhu and Xuhui Zhou and Robert Lo and Abishek Sridhar and Xianyi Cheng and Tianyue Ou and Yonatan Bisk and Daniel Fried and Uri Alon and Graham Neubig , booktitle=

Reference 27

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source=arxiv_source observed=2026-08-02T07:36:50.365423Z digest=sha256:0fc646bf14c926a33c838a5006a159f3591ba1242af8032fc719d4906f7b3cbc

Observation 9cddcedc-0ace-42db-babf-d703c535007b · outbound

This paper cites 2024 , url=.

AppWorld-UL: Benchmarking Diverse Agent-User Interactions for Tool-Use 2024 , url=

Reference 28

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source=arxiv_source observed=2026-08-02T07:36:50.484836Z digest=sha256:30ead76a102915603510a8d49eadbb9351681a1242b3a7faec836de3c08db093

Observation 278f370a-80b5-44b6-a12b-531f5c1727f3 · outbound

This paper cites Introducing.

AppWorld-UL: Benchmarking Diverse Agent-User Interactions for Tool-Use Introducing

Reference 29

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source=arxiv_source observed=2026-08-02T07:36:50.585263Z digest=sha256:8d874806d9c53c44e5ef2db4ed96b84a22fbf19909c1eb3f286f45445af1c544

Observation 0fd67764-d488-4566-b783-de1c0181edb5 · outbound

This paper cites Introducing.

AppWorld-UL: Benchmarking Diverse Agent-User Interactions for Tool-Use Introducing

Reference 30

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source=arxiv_source observed=2026-08-02T07:36:50.645050Z digest=sha256:da023a3e696334c9b088fea181fddb09c8898c1a7893f5f5e82c4a4cdacb5f83

Observation 594fdc9a-57ae-42eb-9a75-30c922b1a8bc · outbound

This paper cites Introducing.

AppWorld-UL: Benchmarking Diverse Agent-User Interactions for Tool-Use Introducing

Reference 31

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source=arxiv_source observed=2026-08-02T07:36:50.794834Z digest=sha256:361ab45904c53bc07b4b16bd44b2ad6ec179fd95e0a8dc47b7528d0c2291fe31

Observation d82c5068-1c11-4a7a-92cf-7cbd06ba75fe · outbound

This paper cites Introducing.

AppWorld-UL: Benchmarking Diverse Agent-User Interactions for Tool-Use Introducing

Reference 32

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source=arxiv_source observed=2026-08-02T07:36:50.966365Z digest=sha256:9a0d820cf32e0f08fcf13958f9b5bb626aecf86674c887a8c92e448374ff6734

Observation 58a05d87-ae62-45be-a7a5-12f87315dbf0 · outbound

This paper cites 2023 , url=.

AppWorld-UL: Benchmarking Diverse Agent-User Interactions for Tool-Use 2023 , url=

Reference 33

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source=arxiv_source observed=2026-08-02T07:36:51.134839Z digest=sha256:44c9ef6be8bca41a146051dd9d86632d5eb0728e7087ced6796f080bf939cf13

Observation a2adea71-4086-4714-8f1a-9fa40ea67a62 · outbound

This paper cites Introducing C laude S onnet 4.5, 2025.

AppWorld-UL: Benchmarking Diverse Agent-User Interactions for Tool-Use Introducing C laude S onnet 4.5, 2025

Reference 34

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source=arxiv_source observed=2026-08-02T07:36:51.288610Z digest=sha256:3f1c49e564e5397e96411d4c581b5e6d4a1725c400aba6c49e98f4aacd8a25f2

Observation 3f3016ae-5441-4797-986a-9012e4effe4e · outbound

This paper cites $\tau^2$-Bench: Evaluating Conversational Agents in a Dual-Control Environment.

AppWorld-UL: Benchmarking Diverse Agent-User Interactions for Tool-Use $\tau^2$-Bench: Evaluating Conversational Agents in a Dual-Control Environment

Reference 35

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no resolver link, observed 2026-08-02T07:36:51.458787Z

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source=arxiv_source observed=2026-08-02T07:36:51.458787Z digest=sha256:85919199df0de8f7b40be05e1ea660ba83399999faf64e6fcb4ac976848b6e6a

Observation c117eaa2-5fe0-4e8a-b34a-4427d21c5b88 · outbound

This paper cites an unresolved cited work.

AppWorld-UL: Benchmarking Diverse Agent-User Interactions for Tool-Use Unresolved cited work

Reference 36

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source=arxiv_source observed=2026-08-02T07:36:51.545006Z digest=sha256:d0f009a0e17ad37afe98cd7932bf24d31d4db049d1f76e8d2ddc42d300b06355

Observation 650df353-8e93-4635-8821-42aef73789b8 · outbound

This paper cites C., Fourney, A., Gerrits, J., Zhu, E.

AppWorld-UL: Benchmarking Diverse Agent-User Interactions for Tool-Use C., Fourney, A., Gerrits, J., Zhu, E

Reference 37

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source=arxiv_source observed=2026-08-02T07:36:51.731493Z digest=sha256:a96ee5af7e4923b7327e1e786d56434d5d399d5f7e0818e26bf7c25bbb2af29d

Observation ef820777-5da0-4272-901b-9ab99fdce222 · outbound

This paper cites Introducing G emini 3, 2025.

AppWorld-UL: Benchmarking Diverse Agent-User Interactions for Tool-Use Introducing G emini 3, 2025

Reference 38

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source=arxiv_source observed=2026-08-02T07:36:51.994991Z digest=sha256:0bf01ef33920084bbda10c9bcb7f4b5b82f1dc212c5199d3f6934a8fb4b752df

Observation b262f913-1124-4f5f-a9b5-5fc2f57a5117 · outbound

This paper cites H., Hao, H., Gou, L., and Ren, L.

AppWorld-UL: Benchmarking Diverse Agent-User Interactions for Tool-Use H., Hao, H., Gou, L., and Ren, L

Reference 39

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source=arxiv_source observed=2026-08-02T07:36:52.141312Z digest=sha256:74ece5a48867cbfc8d7993144506affc88a512070fb55148739b2cc03ddeccd1

Observation 300a626b-b3a8-449b-933b-d87ec178e520 · outbound

This paper cites Plan-then-execute: An empirical study of user trust and team performance when using LLM agents as a daily assistant.

AppWorld-UL: Benchmarking Diverse Agent-User Interactions for Tool-Use Plan-then-execute: An empirical study of user trust and team performance when using LLM agents as a daily assistant

Reference 40

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Source-reported events for the cited work

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source=arxiv_source observed=2026-08-02T07:36:52.325028Z digest=sha256:02e662838a1ccb5e50cfd99e4cfa6ff5d461ceceb30d090bb245f8c5f1039185

Observation 7287d0eb-d3d6-4471-b440-badcaab0b9f6 · outbound

This paper cites E., Yang, J., Wettig, A., Yao, S., Pei, K., Press, O., and Narasimhan, K.

AppWorld-UL: Benchmarking Diverse Agent-User Interactions for Tool-Use E., Yang, J., Wettig, A., Yao, S., Pei, K., Press, O., and Narasimhan, K

Reference 41

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source=arxiv_source observed=2026-08-02T07:36:52.462388Z digest=sha256:252e80758a6d75f428cd5aef36c0e534350275b17eb8edd4e24ff0a1e13625f9

Observation 699fb314-0b5d-446f-ac84-191e953180db · outbound

This paper cites DiaryMate : Understanding user perceptions and experience in human- AI collaboration for personal journaling.

AppWorld-UL: Benchmarking Diverse Agent-User Interactions for Tool-Use DiaryMate : Understanding user perceptions and experience in human- AI collaboration for personal journaling

Reference 42

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source=arxiv_source observed=2026-08-02T07:36:52.674736Z digest=sha256:1577c7b0a595533144f2f0b6a703807925465922f588e49e5ca186e024df7a79

Observation 6715f115-99a3-4dde-961d-403c8c193300 · outbound

This paper cites Introducing Kimi K2 Thinking , 2025.

AppWorld-UL: Benchmarking Diverse Agent-User Interactions for Tool-Use Introducing Kimi K2 Thinking , 2025

Reference 43

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source=arxiv_source observed=2026-08-02T07:36:52.844980Z digest=sha256:531306a57d2994461ac29ebb5393b10eb0831ec0e8550f349ec30b2a09e61e85

Observation dfa5d70a-4d9b-4a52-b425-e6bf11b70f16 · outbound

This paper cites Sketch2Code: Evaluating Vision-Language Models for Interactive Web Design Prototyping.

AppWorld-UL: Benchmarking Diverse Agent-User Interactions for Tool-Use Sketch2Code: Evaluating Vision-Language Models for Interactive Web Design Prototyping

Reference 44

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source=arxiv_source observed=2026-08-02T07:36:53.056837Z digest=sha256:16186803ed6c142df0b94abbf291de596cb8875ff4b696c8c84c92ed32fce31e

Observation 29be73f0-dce0-478d-bf47-45b0d02832d4 · outbound

This paper cites ToolSandbox: A Stateful, Conversational, Interactive Evaluation Benchmark for LLM Tool Use Capabilities.

AppWorld-UL: Benchmarking Diverse Agent-User Interactions for Tool-Use ToolSandbox: A Stateful, Conversational, Interactive Evaluation Benchmark for LLM Tool Use Capabilities

Reference 45

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no resolver link, observed 2026-08-02T07:36:53.348031Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T07:36:53.348031Z digest=sha256:194692c8d58c44372bf75241eb04f153f11e4ae646c5ecf85af4689768cdbc79

Observation 859cf7f9-73c1-4e77-a039-9755253ff457 · outbound

This paper cites User interaction patterns and breakdowns in conversing with LLM -powered voice assistants.

AppWorld-UL: Benchmarking Diverse Agent-User Interactions for Tool-Use User interaction patterns and breakdowns in conversing with LLM -powered voice assistants

Reference 46

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no resolver link, observed 2026-08-02T07:36:53.564740Z

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source=arxiv_source observed=2026-08-02T07:36:53.564740Z digest=sha256:15c0a305f6ab1adf5f4d1f91d620801e3c1bb9f4cdaf2b813058c3c1e8d1bbd5

Observation 945e62d7-14d4-4ef7-bd86-9c914da4ac86 · outbound

This paper cites C.-J., Huang, J., Suresh, V., Huang, Y., Yu, X., Gonzalez, J.

AppWorld-UL: Benchmarking Diverse Agent-User Interactions for Tool-Use C.-J., Huang, J., Suresh, V., Huang, Y., Yu, X., Gonzalez, J

Reference 47

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no resolver link, observed 2026-08-02T07:36:53.659322Z

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source=arxiv_source observed=2026-08-02T07:36:53.659322Z digest=sha256:0e67a6a46d814b7e544ddba9f3958268bd7941b4041eb4cc670868a3315a4e75

Observation 45664995-ead0-449e-847f-e9d461cdd72b · outbound

This paper cites Terminal-Bench: Benchmarking Agents on Hard, Realistic Tasks in Command Line Interfaces.

AppWorld-UL: Benchmarking Diverse Agent-User Interactions for Tool-Use Terminal-Bench: Benchmarking Agents on Hard, Realistic Tasks in Command Line Interfaces

Reference 48

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no resolver link, observed 2026-08-02T07:36:53.809474Z

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source=arxiv_source observed=2026-08-02T07:36:53.809474Z digest=sha256:625539d0730dadfc528edf4b36bdcfc93cc202710e325cf682cdbd63f6f99a69

Observation 94efaf07-6316-484b-9070-7f261cd42737 · outbound

This paper cites Reading between the lines: Modeling user behavior and costs in AI -assisted programming.

AppWorld-UL: Benchmarking Diverse Agent-User Interactions for Tool-Use Reading between the lines: Modeling user behavior and costs in AI -assisted programming

Reference 49

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no resolver link, observed 2026-08-02T07:36:53.944969Z

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source=arxiv_source observed=2026-08-02T07:36:53.944969Z digest=sha256:243d518f73ee3d4ae658a8c6d8bf556599ae949ddff334be9138bc4c211bdfa3

Observation 05e9b490-6772-4a18-b3ce-31af4904a9e3 · outbound

This paper cites Introducing GPT-5 , 2025.

AppWorld-UL: Benchmarking Diverse Agent-User Interactions for Tool-Use Introducing GPT-5 , 2025

Reference 50

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no resolver link, observed 2026-08-02T07:36:54.054842Z

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source=arxiv_source observed=2026-08-02T07:36:54.054842Z digest=sha256:f4210be84173b4f3e3d1db17560362d387f593f0675e5ed73505628e310790e0

Observation de3e0712-6066-4308-9522-0049c04c04aa · outbound

This paper cites UserBench: An Interactive Gym Environment for User-Centric Agents.

AppWorld-UL: Benchmarking Diverse Agent-User Interactions for Tool-Use UserBench: An Interactive Gym Environment for User-Centric Agents

Reference 51

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no resolver link, observed 2026-08-02T07:36:54.184901Z

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source=arxiv_source observed=2026-08-02T07:36:54.184901Z digest=sha256:9a4f72e687da5d965f4b3b64e972d64b0cd4fe5bcc78f9f1596317061e8c3f7a

Observation 6f32782a-3ba6-4768-b02b-834ab8336cb5 · outbound

This paper cites Qwen3 : Think deeper, act faster, 2025.

AppWorld-UL: Benchmarking Diverse Agent-User Interactions for Tool-Use Qwen3 : Think deeper, act faster, 2025

Reference 52

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no resolver link, observed 2026-08-02T07:36:54.284766Z

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source=arxiv_source observed=2026-08-02T07:36:54.284766Z digest=sha256:1ee5939ca0e82612d2cfecd33329fbac2dbf19ae5126ef7beed70e47be3bc42f

Observation 81905a40-7c35-4ea7-8955-06f217fe04d4 · outbound

This paper cites Lost in simulation: LLM -simulated users are unreliable proxies for human users in agentic evaluations, 2026.

AppWorld-UL: Benchmarking Diverse Agent-User Interactions for Tool-Use Lost in simulation: LLM -simulated users are unreliable proxies for human users in agentic evaluations, 2026

Reference 53

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no resolver link, observed 2026-08-02T07:36:54.455020Z

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source=arxiv_source observed=2026-08-02T07:36:54.455020Z digest=sha256:0ef8c29ee109a5b90607cdf88f0fb508f02de8a78d449bebfc822ac903d80a20

Observation a1e303d1-861e-4c42-babd-6af8374a3285 · outbound

This paper cites Bridging the gulf of envisioning: Cognitive challenges in prompt based interactions with LLM s.

AppWorld-UL: Benchmarking Diverse Agent-User Interactions for Tool-Use Bridging the gulf of envisioning: Cognitive challenges in prompt based interactions with LLM s

Reference 54

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no resolver link, observed 2026-08-02T07:36:54.555176Z

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source=arxiv_source observed=2026-08-02T07:36:54.555176Z digest=sha256:cfe6626165a336840ce9836f4a3f91532ed2ce188cc6142a80bb97238d3080e9

Observation f04244ad-ae9d-4177-824b-d17739d7fe47 · outbound

This paper cites A pp W orld: A controllable world of apps and people for benchmarking interactive coding agents.

AppWorld-UL: Benchmarking Diverse Agent-User Interactions for Tool-Use A pp W orld: A controllable world of apps and people for benchmarking interactive coding agents

Reference 55

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no resolver link, observed 2026-08-02T07:36:54.635867Z

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source=arxiv_source observed=2026-08-02T07:36:54.635867Z digest=sha256:39fb9d63fc6c301479989fc98a73e058035f49560a06ea5fcc9fe9037e45a07c

Observation a9b65825-1d81-468b-bc7f-1e23161335a6 · outbound

This paper cites R., and Cao, Y.

AppWorld-UL: Benchmarking Diverse Agent-User Interactions for Tool-Use R., and Cao, Y

Reference 56

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no resolver link, observed 2026-08-02T07:36:54.708301Z

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source=arxiv_source observed=2026-08-02T07:36:54.708301Z digest=sha256:f51af4f63dbb4f1d22047d065cfd3d55b91db1c734374c71ad400b9b45bec30c

Observation 010a2e09-2aa9-48d7-915e-fcf56b43e163 · outbound

This paper cites $\tau$-bench: A Benchmark for Tool-Agent-User Interaction in Real-World Domains.

AppWorld-UL: Benchmarking Diverse Agent-User Interactions for Tool-Use $\tau$-bench: A Benchmark for Tool-Agent-User Interaction in Real-World Domains

Reference 57

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no resolver link, observed 2026-08-02T07:36:54.776772Z

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source=arxiv_source observed=2026-08-02T07:36:54.776772Z digest=sha256:94dc43e83697d02a05454c948cc43044a61b405837d3ceb5d61f322f1252b0a1

Observation f016c909-2c3a-4faa-9bd9-dde3d352db40 · outbound

This paper cites F., Zhu, H., Zhou, X., Lo, R., Sridhar, A., Cheng, X., Ou, T., Bisk, Y., Fried, D., Alon, U., and Neubig, G.

AppWorld-UL: Benchmarking Diverse Agent-User Interactions for Tool-Use F., Zhu, H., Zhou, X., Lo, R., Sridhar, A., Cheng, X., Ou, T., Bisk, Y., Fried, D., Alon, U., and Neubig, G

Reference 58

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no resolver link, observed 2026-08-02T07:36:54.894752Z

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source=arxiv_source observed=2026-08-02T07:36:54.894752Z digest=sha256:575555a787a85bdb6e3802c875d2fa16e7596bae7872a395feb17fb5a405ef3c

Observation 2e6c0734-d37c-44a7-ab34-e99e658384e5 · outbound

This paper cites SWEET-RL: Training Multi-Turn LLM Agents on Collaborative Reasoning Tasks.

AppWorld-UL: Benchmarking Diverse Agent-User Interactions for Tool-Use SWEET-RL: Training Multi-Turn LLM Agents on Collaborative Reasoning Tasks

Reference 59

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no resolver link, observed 2026-08-02T07:36:55.011277Z

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source=arxiv_source observed=2026-08-02T07:36:55.011277Z digest=sha256:7df4d31cb8d6d7b1b034826e0975928f12f648f50256f6be0220d8e0cf346a12

Pith citing papers

No inbound Pith citation observations are available.