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Paper Citation Record · LEDGER

UserBench: An Interactive Gym Environment for User-Centric Agents

As of 8 August 2026, this Paper Citation Record lists 44 of 44 outbound references and 16 inbound Pith citation observations for arXiv:2507.22034.

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

pith.paper-citation-record.v1
2507.22034 v1

Coverage vector

measured 44 of 44 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T12:09:26.612011Z

measured 60 of 60 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 16 of 16 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T00:13:24.345125Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

44 of 44 outbound references displayed

  • verified exact1
  • verified fuzzy1
  • unresolved42
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

1
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

Observation f72c2c01-5147-4417-ae40-fe0ba73c7425 · outbound

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

UserBench: An Interactive Gym Environment for User-Centric Agents $\tau^2$-Bench: Evaluating Conversational Agents in a Dual-Control Environment

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-06T12:09:26.248697Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T12:09:26.248697Z digest=sha256:2fbfc376c7a868303819ecfe2e17cb1ee9ff0e990566600720b3c808435e2574

Observation ca48201c-c8fd-4606-8f89-9432c6d7ea78 · outbound

This paper cites an unresolved cited work.

UserBench: An Interactive Gym Environment for User-Centric Agents Unresolved cited work

Reference 2

Resolution
unresolved
raw_fallback, observed 2026-08-06T12:09:27.764836Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T12:09:26.257958Z digest=sha256:652805124a69b082e4552c95a486388c30a0e5932efe7714b0fad12fa98cc3ae

Observation 42c16d72-710f-4b10-bb55-6acd964ef945 · outbound

This paper cites an unresolved cited work.

UserBench: An Interactive Gym Environment for User-Centric Agents Unresolved cited work

Reference 3

Resolution
unresolved
raw_fallback, observed 2026-08-06T12:09:27.741064Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T12:09:26.265640Z digest=sha256:91c28430fc77e4d1d27e0e6f09495b048d45ac54b131836c43f7183c8048afa9

Observation e7c803a3-f10a-4a02-b83c-2ae2aab69c9d · outbound

This paper cites an unresolved cited work.

UserBench: An Interactive Gym Environment for User-Centric Agents Unresolved cited work

Reference 4

Resolution
unresolved
raw_fallback, observed 2026-08-06T12:09:27.720408Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T12:09:26.281682Z digest=sha256:f68f7c12341b844da8ebc57d18ade18830b2c899754944a65d51b4426159fc42

Observation 1afbbfc6-2d2d-4457-88ca-ef01c2779fb5 · outbound

This paper cites an unresolved cited work.

UserBench: An Interactive Gym Environment for User-Centric Agents Unresolved cited work

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-06T12:09:26.290043Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T12:09:26.290043Z digest=sha256:e57c73547153b0d68bc80f8d7a1f7f4b0a3e4109f23d5c31ee94e9fad90a6aa4

Observation 5b253e1d-3b67-4d70-8161-ca807b48333a · outbound

This paper cites ToolTalk: Evaluating Tool-Usage in a Conversational Setting.

UserBench: An Interactive Gym Environment for User-Centric Agents ToolTalk: Evaluating Tool-Usage in a Conversational Setting

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-06T12:09:26.296882Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T12:09:26.296882Z digest=sha256:5961fab3540ecb10aebe577abf07e75e65ee3fdc71ebca3bf6605d6c4d62810b

Observation fbb3d057-8ffb-4cad-8461-61507e2f54f8 · outbound

This paper cites an unresolved cited work.

UserBench: An Interactive Gym Environment for User-Centric Agents Unresolved cited work

Reference 7

Resolution
unresolved
raw_fallback, observed 2026-08-06T12:09:27.678230Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T12:09:26.310161Z digest=sha256:51b038788c03fa8840e2e92f179571e42125e893bea9f6583eddc640c89946b9

Observation 1cc831d5-d4cd-437d-ab2a-28f75e843a84 · outbound

This paper cites DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning.

UserBench: An Interactive Gym Environment for User-Centric Agents DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-06T12:09:26.317069Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T12:09:26.317069Z digest=sha256:fc0e640cdbdd7bb9a8248bc00e9c72011ffe0bb87222b2ec0f94231f337326ee

Observation 68185397-79cb-4a58-8b33-b4c937375d3e · outbound

This paper cites DeepSeek-Coder: When the Large Language Model Meets Programming -- The Rise of Code Intelligence.

UserBench: An Interactive Gym Environment for User-Centric Agents DeepSeek-Coder: When the Large Language Model Meets Programming -- The Rise of Code Intelligence

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-06T12:09:26.327794Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T12:09:26.327794Z digest=sha256:4cba087cd540279dbb7abff62a22d9575575c251ea541a581ff8a2c6589b5f1d

Observation 67a0b2f9-4580-4f30-9e34-68085d9089bd · outbound

This paper cites MetaTool Benchmark for Large Language Models: Deciding Whether to Use Tools and Which to Use.

UserBench: An Interactive Gym Environment for User-Centric Agents MetaTool Benchmark for Large Language Models: Deciding Whether to Use Tools and Which to Use

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-06T12:09:26.335428Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T12:09:26.335428Z digest=sha256:ff3c4a7d6ba91b360560ee708c3d73bd4ead937e2209b2102d8f754afadc5256

Observation d0ecbdda-0a46-4f3d-a4c9-1bfd191d0f4d · outbound

This paper cites Qwen2.5-Coder Technical Report.

UserBench: An Interactive Gym Environment for User-Centric Agents Qwen2.5-Coder Technical Report

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-06T12:09:26.345031Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T12:09:26.345031Z digest=sha256:5d58752f8a03d65266cbba09ff8b4de517a4f9bb620ec9e59aae079dc10b090a

Observation 8cb45b9e-cae7-4b03-80b9-95cf06b113c6 · outbound

This paper cites OpenAI o1 System Card.

UserBench: An Interactive Gym Environment for User-Centric Agents OpenAI o1 System Card

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-06T12:09:26.353124Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T12:09:26.353124Z digest=sha256:09a5c50ba5673e3c1a0a70fa2d230c4f1ed1dcf70e94b513b144e404ab898377

Observation 517579b1-718a-4882-87a1-575ca7b3143a · outbound

This paper cites Search-R1: Training LLMs to Reason and Leverage Search Engines with Reinforcement Learning.

UserBench: An Interactive Gym Environment for User-Centric Agents Search-R1: Training LLMs to Reason and Leverage Search Engines with Reinforcement Learning

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-06T12:09:26.361321Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T12:09:26.361321Z digest=sha256:2bc7a2fd62a89202739fc1261e5f8fdee463faa490556186fb8e55940d89e876

Observation 8c3a1574-1fc6-4c10-8830-e075430a3ad6 · outbound

This paper cites an unresolved cited work.

UserBench: An Interactive Gym Environment for User-Centric Agents Unresolved cited work

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-06T12:09:26.370363Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T12:09:26.370363Z digest=sha256:d3180d6a2ab07df937d0b45fbf4593d5456252b324e9e7876a2b02f7a024b432

Observation 77514045-5d44-4f40-be4c-22d915a50560 · outbound

This paper cites ToRL: Scaling Tool-Integrated RL.

UserBench: An Interactive Gym Environment for User-Centric Agents ToRL: Scaling Tool-Integrated RL

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-06T12:09:26.376258Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T12:09:26.376258Z digest=sha256:aba3ea8aaf96dc100977ab9c45adb464769b346b81935136c753d6e92621c316

Observation c5701fb9-e7ac-4770-8dea-7bb256fccb94 · outbound

This paper cites WildBench: Benchmarking LLMs with Challenging Tasks from Real Users in the Wild.

UserBench: An Interactive Gym Environment for User-Centric Agents WildBench: Benchmarking LLMs with Challenging Tasks from Real Users in the Wild

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-06T12:09:26.382909Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T12:09:26.382909Z digest=sha256:40b1cef6bd21906c6fd1323a3b3e8a3138ab8e01c203a64bdde31435b579400b

Observation 9dc994f9-bb67-4419-8c79-5184ea15ff34 · outbound

This paper cites an unresolved cited work.

UserBench: An Interactive Gym Environment for User-Centric Agents Unresolved cited work

Reference 17

Resolution
unresolved
raw_fallback, observed 2026-08-06T12:09:27.638687Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T12:09:26.391288Z digest=sha256:d5360750efdbd5fb4238acd366d90c4a4253575f7cb2b0d6bd55955b58c0a7aa

Observation b2846708-8b74-4295-9831-df3deaef1154 · outbound

This paper cites an unresolved cited work.

UserBench: An Interactive Gym Environment for User-Centric Agents Unresolved cited work

Reference 18

Resolution
unresolved
raw_fallback, observed 2026-08-06T12:09:27.613330Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T12:09:26.397527Z digest=sha256:cb5812c3db7ce29eee6d0962670ee1b2e8befafae791d97ebfd36c3e8bbd8b22

Observation 32adb8cd-f031-49ee-82e3-dc87d140ae16 · outbound

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

UserBench: An Interactive Gym Environment for User-Centric Agents ToolSandbox: A Stateful, Conversational, Interactive Evaluation Benchmark for LLM Tool Use Capabilities

Reference 19

Resolution
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no resolver link, observed 2026-08-06T12:09:26.408309Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T12:09:26.408309Z digest=sha256:fe7e9bdd8ef6e7ebe5004411dbab72a3ddfd3e7c75fbddd6942970b68a1d957d

Observation cc02eb75-8ef3-41ee-802a-ab32f6862a08 · outbound

This paper cites an unresolved cited work.

UserBench: An Interactive Gym Environment for User-Centric Agents Unresolved cited work

Reference 20

Resolution
unresolved
raw_fallback, observed 2026-08-06T12:09:27.593194Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T12:09:26.425082Z digest=sha256:2602a00a4e83dee4b1f68f551f308c9dcbc1f550704c50ac74c274c249083240

Observation 4afd493f-2cc3-4404-aa39-4c516f4b9830 · outbound

This paper cites APIGen-MT: Agentic Pipeline for Multi-Turn Data Generation via Simulated Agent-Human Interplay.

UserBench: An Interactive Gym Environment for User-Centric Agents APIGen-MT: Agentic Pipeline for Multi-Turn Data Generation via Simulated Agent-Human Interplay

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-06T12:09:26.432288Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T12:09:26.432288Z digest=sha256:a9bab14ea6ae80456382bf71cfd7e14e2c58628105c12e4fa1e9b37fd2a838d0

Observation 1a1bdfe7-0237-450e-97e9-ef8a34faa3f4 · outbound

This paper cites ToolRL: Reward is All Tool Learning Needs.

UserBench: An Interactive Gym Environment for User-Centric Agents ToolRL: Reward is All Tool Learning Needs

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-06T12:09:26.440310Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T12:09:26.440310Z digest=sha256:5e3791a3684b8c4876a1023194bc5794e41ef83b4d36df895946e316f40f9ccc

Observation e9eba57f-7302-47d8-84b1-bd480e518616 · outbound

This paper cites SMART: Self-Aware Agent for Tool Overuse Mitigation.

UserBench: An Interactive Gym Environment for User-Centric Agents SMART: Self-Aware Agent for Tool Overuse Mitigation

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-06T12:09:26.451741Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T12:09:26.451741Z digest=sha256:7524e4830b17e62e838d43c3d9bed70ce479d314b2fa1ec6dda9b519cc2b236b

Observation c22eb3fd-dae3-437e-9c0a-5a83ea632627 · outbound

This paper cites ModelingAgent: Bridging LLMs and Mathematical Modeling for Real-World Challenges.

UserBench: An Interactive Gym Environment for User-Centric Agents ModelingAgent: Bridging LLMs and Mathematical Modeling for Real-World Challenges

Reference 24

Resolution
verified exact
local_arxiv, observed 2026-08-06T12:09:26.987841Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T12:09:26.459880Z digest=sha256:ad547ab4bedae6cf14c74afb7fdc0e16969a3afc7d09e84a287717702d4d06fe

Observation d760b24b-48c7-476c-9a60-faa900edc12b · outbound

This paper cites an unresolved cited work.

UserBench: An Interactive Gym Environment for User-Centric Agents Unresolved cited work

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-06T12:09:26.466395Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T12:09:26.466395Z digest=sha256:59cdedb3fe94f569e096262cad5592e465c8e43727427c00ed21606f12755df0

Observation 3e8a6f7d-c611-4357-bbba-d765bb752fee · outbound

This paper cites EscapeBench: Towards Advancing Creative Intelligence of Language Model Agents.

UserBench: An Interactive Gym Environment for User-Centric Agents EscapeBench: Towards Advancing Creative Intelligence of Language Model Agents

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-06T12:09:26.472494Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T12:09:26.472494Z digest=sha256:c93a79c96601215a8aea3fc36c5d1d18a5855e263a1f21f9f99062090f08d9c9

Observation 1b474da2-4cdb-45f6-8519-642b6f0b5649 · outbound

This paper cites Tell Me More! Towards Implicit User Intention Understanding of Language Model Driven Agents.

UserBench: An Interactive Gym Environment for User-Centric Agents Tell Me More! Towards Implicit User Intention Understanding of Language Model Driven Agents

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-06T12:09:26.480005Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T12:09:26.480005Z digest=sha256:79f4b734b359d56d044f5805bd639a9f1564abbdfe83969644fda4786177ba5d

Observation b8fabc23-6000-4813-b988-3ec85d8b5e44 · outbound

This paper cites Investigate-Consolidate-Exploit: A General Strategy for Inter-Task Agent Self-Evolution.

UserBench: An Interactive Gym Environment for User-Centric Agents Investigate-Consolidate-Exploit: A General Strategy for Inter-Task Agent Self-Evolution

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-06T12:09:26.486790Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T12:09:26.486790Z digest=sha256:bacb9ec8c18d38982c91b4aa4ee5ecedee3d6509dd76f702bf1e6c9fcba6b9f5

Observation 89768af7-253e-47cd-8c95-53d24ab11a8a · outbound

This paper cites an unresolved cited work.

UserBench: An Interactive Gym Environment for User-Centric Agents Unresolved cited work

Reference 29

Resolution
unresolved
raw_fallback, observed 2026-08-06T12:09:27.552639Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T12:09:26.495042Z digest=sha256:a1d4f4b1c38c0a11f0d3d7bfe6beb587e8738a4cb212f48a212c9aaa5c7aed79

Observation dad69234-5273-4b5c-92fc-c7f8bb01cb6e · outbound

This paper cites DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models.

UserBench: An Interactive Gym Environment for User-Centric Agents DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-06T12:09:26.502302Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T12:09:26.502302Z digest=sha256:7c0083e5219d5f007ed5e8d97e5a048f38a670d320357d647d2667cd9e9aca54

Observation a4dbd138-6dbb-4050-ba95-bfe5fed6a4c4 · outbound

This paper cites an unresolved cited work.

UserBench: An Interactive Gym Environment for User-Centric Agents Unresolved cited work

Reference 31

Resolution
unresolved
raw_fallback, observed 2026-08-06T12:09:27.525944Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T12:09:26.511006Z digest=sha256:717cca0ba4b6e88fa454f90bf90103ca85cff1eeeddc7c14d17a0d07a04b5a29

Observation 0e071261-8b42-42f8-a916-68a9e4470829 · outbound

This paper cites Acting Less is Reasoning More! Teaching Model to Act Efficiently.

UserBench: An Interactive Gym Environment for User-Centric Agents Acting Less is Reasoning More! Teaching Model to Act Efficiently

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-06T12:09:26.519476Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T12:09:26.519476Z digest=sha256:71669212600b7c4ab6a8436e1aad633ddfe26b8df8dd1107eb157cec53260d5a

Observation 850b72f4-cb77-4b86-b8ff-fd0d3dc02a37 · outbound

This paper cites an unresolved cited work.

UserBench: An Interactive Gym Environment for User-Centric Agents Unresolved cited work

Reference 33

Resolution
unresolved
raw_fallback, observed 2026-08-06T12:09:27.500210Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T12:09:26.526590Z digest=sha256:4184cb26e732dd08aa59c930b540dce187a0e0b6421127ba4539457b458070f5

Observation 20826075-d14f-4c72-b76a-4969067d9a44 · outbound

This paper cites an unresolved cited work.

UserBench: An Interactive Gym Environment for User-Centric Agents Unresolved cited work

Reference 34

Resolution
unresolved
raw_fallback, observed 2026-08-06T12:09:27.478402Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T12:09:26.532736Z digest=sha256:f6624185c77812df072754b64a157562d1a9360ba40df3a4eefb29cbdfc8864b

Observation 67ff4b8a-7571-4268-b393-6ba848ae6be9 · outbound

This paper cites Qwen2.5-Math Technical Report: Toward Mathematical Expert Model via Self-Improvement.

UserBench: An Interactive Gym Environment for User-Centric Agents Qwen2.5-Math Technical Report: Toward Mathematical Expert Model via Self-Improvement

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-06T12:09:26.538790Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T12:09:26.538790Z digest=sha256:a8638a1dfa33d10d9008890214a5245ad50d4e304cfa8aca3588b83b14cb865a

Observation 443f2d8a-710b-4ee6-9e6e-96d2fc12d2e2 · outbound

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

UserBench: An Interactive Gym Environment for User-Centric Agents $\tau$-bench: A Benchmark for Tool-Agent-User Interaction in Real-World Domains

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-06T12:09:26.546849Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T12:09:26.546849Z digest=sha256:174e0c49fe3e52765c26e51508a93dc7522a0b50eb51e3ada2d8533ba92898e0

Observation 5235e370-b04b-4bc1-a3b0-a374bd3f2f33 · outbound

This paper cites Fung, Hao Peng, and Heng Ji.

UserBench: An Interactive Gym Environment for User-Centric Agents Fung, Hao Peng, and Heng Ji

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T12:09:27.459317Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T12:09:26.557477Z digest=sha256:5fb7d03d9e67dbebcbf70f9b4b32decc53407e74d0ad181d444aec1276570373

Observation f6c754e4-24d2-4579-b883-03ea94329c08 · outbound

This paper cites xLAM: A Family of Large Action Models to Empower AI Agent Systems.

UserBench: An Interactive Gym Environment for User-Centric Agents xLAM: A Family of Large Action Models to Empower AI Agent Systems

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-06T12:09:26.567022Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T12:09:26.567022Z digest=sha256:e46ea3cd40b1d0869ac5424baa96598360cbda791d4ac53139198bbc0f5d66bd

Observation c3ec09ae-dc08-4da4-9208-34255202ec49 · outbound

This paper cites Diversity Empowers Intelligence: Integrating Expertise of Software Engineering Agents.

UserBench: An Interactive Gym Environment for User-Centric Agents Diversity Empowers Intelligence: Integrating Expertise of Software Engineering Agents

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-06T12:09:26.574898Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T12:09:26.574898Z digest=sha256:197a87e3f26d85e26f6ed44afaa81a28bb480840bb847d6cc741004f720feb88

Observation 24b0072a-09d4-4a39-ad76-34d606e14248 · outbound

This paper cites Modeling Future Conversation Turns to Teach LLMs to Ask Clarifying Questions.

UserBench: An Interactive Gym Environment for User-Centric Agents Modeling Future Conversation Turns to Teach LLMs to Ask Clarifying Questions

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-06T12:09:26.584733Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T12:09:26.584733Z digest=sha256:42c09282f86c31e7f0cbf1da3b1fe843ae455cc1bc8679679c356430a5eefebf

Observation 43af3a92-9d89-4f29-a0cc-5eb5dc77085e · outbound

This paper cites an unresolved cited work.

UserBench: An Interactive Gym Environment for User-Centric Agents Unresolved cited work

Reference 41

Resolution
unresolved
raw_fallback, observed 2026-08-06T12:09:27.429947Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T12:09:26.591973Z digest=sha256:4b092adc32aa17d98be7e5bd80e62b0c837a2384d12f56a6ebb9bbb93b19296f

Observation 8170dce8-26b6-470c-ac13-5f6f89c498e4 · outbound

This paper cites MultiAgentBench: Evaluating the Collaboration and Competition of LLM agents.

UserBench: An Interactive Gym Environment for User-Centric Agents MultiAgentBench: Evaluating the Collaboration and Competition of LLM agents

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-06T12:09:26.597705Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T12:09:26.597705Z digest=sha256:81ef0f504df78a9b775d7520aef451851726fd573cd1c6cf4808fb570a24dce9

Observation 7ac10e55-8fbf-4b7e-9047-2082dea6fec5 · outbound

This paper cites online" 'onlinestring :=.

UserBench: An Interactive Gym Environment for User-Centric Agents online" 'onlinestring :=

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-06T12:09:26.605232Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T12:09:26.605232Z digest=sha256:368492d8b255e93ec9f3559a53d2f62abe745fb349f8fd969cbd2f7599484671

Observation dae185cc-6e8d-4bb4-a439-13170d5da895 · outbound

This paper cites write newline.

UserBench: An Interactive Gym Environment for User-Centric Agents write newline

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-06T12:09:26.612011Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T12:09:26.612011Z digest=sha256:e9e93a3b810655cc96edaf8f3c0d92f12dea39352f38d6534c66026cbbc7a912

Pith citing papers

Observation 4a16f3bc-1b29-4107-ba9f-bc553867fd04 · inbound

RecoWorld: Building Simulated Environments for Agentic Recommender Systems cites this paper.

RecoWorld: Building Simulated Environments for Agentic Recommender Systems UserBench: An Interactive Gym Environment for User-Centric Agents

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-04T17:56:38.825906Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T17:56:38.825906Z digest=sha256:dbc50b2726716c36b008a696d25622bfd9937041553b4de14a2a61992c3cad0f

Observation 5be9da03-7a0d-443f-b134-1a5de09fd039 · inbound

Mind the Sim2Real Gap in User Simulation for Agentic Tasks cites this paper.

Mind the Sim2Real Gap in User Simulation for Agentic Tasks UserBench: An Interactive Gym Environment for User-Centric Agents

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-04T05:51:29.407664Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T05:51:29.407664Z digest=sha256:03a195373b9d03707f577cce63efb07946ec3649a85f5d6022b686866f87def1

Observation 9aafa9ed-0719-42d3-9532-f0fabe2bf7f5 · inbound

PERMA: Benchmarking Personalized Memory Agents via Event-Driven Preference and Realistic Task Environments cites this paper.

PERMA: Benchmarking Personalized Memory Agents via Event-Driven Preference and Realistic Task Environments UserBench: An Interactive Gym Environment for User-Centric Agents

Reference 42

Resolution
verified exact
arxiv_id, observed 2026-05-21T09:59:59.004481Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-21T09:55:17.236296Z digest=sha256:3b6a68614ff55001515f35a62278c111b2631aa007052c4eba16b118c20ea6b2

Observation 838b0aa7-1143-42b7-828a-31f9387e1ab2 · inbound

HiL-Bench (Human-in-Loop Benchmark): Do Agents Know When to Ask for Help? cites this paper.

HiL-Bench (Human-in-Loop Benchmark): Do Agents Know When to Ask for Help? UserBench: An Interactive Gym Environment for User-Centric Agents

Reference 27

Resolution
verified exact
arxiv_id, observed 2026-05-11T00:45:49.848078Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-05-10T18:20:22.151216Z digest=sha256:fbda0a37380d631ee67f8559d05121571d287f86afe7bab07f0b83d530f5ad53

Observation 4bdd1007-332b-4ffa-b9b2-04a466ee1004 · inbound

Auditing Support Strategies in LLMs through Grounded Multi-Turn Social Simulation cites this paper.

Auditing Support Strategies in LLMs through Grounded Multi-Turn Social Simulation UserBench: An Interactive Gym Environment for User-Centric Agents

Reference 2

Resolution
metadata mismatch
arxiv_id, observed 2026-05-10T07:11:53.566727Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-10T07:02:04.555399Z digest=sha256:3823b2274ff690eb7a44454e193c27232dd1cb8799c16777673deb7587cdd4a7

Observation 595bb58e-2df3-482c-8d80-19272ecd2ff4 · inbound

ComPASS: Towards Personalized Agentic Social Support via Tool-Augmented Companionship cites this paper.

ComPASS: Towards Personalized Agentic Social Support via Tool-Augmented Companionship UserBench: An Interactive Gym Environment for User-Centric Agents

Reference 20

Resolution
verified exact
arxiv_id, observed 2026-05-10T11:10:09.757154Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-10T04:54:54.317884Z digest=sha256:8e6aff3bc124ab2dbcdacb7a1ab1fb43e8dac17ab704b7fdbc8dd47a9accef2e

Observation 42660c2b-d4f6-427f-9cfe-24e11c852ca8 · inbound

ProactBench: Beyond What The User Asked For cites this paper.

ProactBench: Beyond What The User Asked For UserBench: An Interactive Gym Environment for User-Centric Agents

Reference 140

Resolution
verified exact
arxiv_id, observed 2026-05-12T02:16:16.006943Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-05-12T02:14:01.145443Z digest=sha256:84f4ae62683f6c339ef071dc6e0146c06a979b163305948ad4b666137019e32a

Observation ef080260-8846-4bb5-b096-f88fc0d5bd77 · inbound

UserHarness: Harnessing User Minds for Stronger Agent Theory-of-Mind cites this paper.

UserHarness: Harnessing User Minds for Stronger Agent Theory-of-Mind UserBench: An Interactive Gym Environment for User-Centric Agents

Reference 4

Resolution
metadata mismatch
arxiv_id, observed 2026-06-29T18:03:48.261924Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-29T17:54:12.080046Z digest=sha256:d6ebeede6837d4b63d5c96154f730f916e31aa7f32c26372ff719c9b14891b85

Observation 2bea6556-4e75-48af-aece-7d9c0dc10011 · inbound

CRAB-Bench: Evaluating LLM Agents under Complex Task Dependencies and Human-aligned User Simulation cites this paper.

CRAB-Bench: Evaluating LLM Agents under Complex Task Dependencies and Human-aligned User Simulation UserBench: An Interactive Gym Environment for User-Centric Agents

Reference 39

Resolution
verified exact
arxiv_id, observed 2026-07-01T23:06:19.669138Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-06-28T14:45:58.990464Z digest=sha256:6a3a7de4d19566bc13d4136b3a295f8e6a84ae0383086b95b2d1c894f25ee57a

Observation e6168326-ed47-42b2-8dac-ee0487fce1b0 · inbound

WRIT: Write-Read Intensive Trajectory Synthesis for Multi-Turn User-Facing Agents cites this paper.

WRIT: Write-Read Intensive Trajectory Synthesis for Multi-Turn User-Facing Agents UserBench: An Interactive Gym Environment for User-Centric Agents

Reference 10

Resolution
metadata mismatch
arxiv_id, observed 2026-07-01T23:26:23.128714Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-06-28T14:18:45.821224Z digest=sha256:bd39158fb3d80c6605809ec6d58cd32685c3df9917d37be615aac0f19c8b9bf8

Observation 28ee564c-cd73-4b86-a267-97719a41dbe3 · inbound

Agentic Environment Engineering for Large Language Models: A Survey of Environment Modeling, Synthesis, Evaluation, and Application cites this paper.

Agentic Environment Engineering for Large Language Models: A Survey of Environment Modeling, Synthesis, Evaluation, and Application UserBench: An Interactive Gym Environment for User-Centric Agents

Reference 131

Resolution
verified exact
arxiv_id, observed 2026-06-27T09:50:48.522785Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-27T09:46:30.702256Z digest=sha256:574b0ec43492f54831960ef6dbb9f31e77f25bb83c1e6f4426f3f9390265b482

Observation 187dd191-6d01-4785-add2-92fa316d3658 · inbound

SENTINEL: Failure-Driven Reinforcement Learning for Training Tool-Using Language Model Agents cites this paper.

SENTINEL: Failure-Driven Reinforcement Learning for Training Tool-Using Language Model Agents UserBench: An Interactive Gym Environment for User-Centric Agents

Reference 23

Resolution
metadata mismatch
arxiv_id, observed 2026-07-03T14:58:33.211607Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-06-27T06:49:12.070481Z digest=sha256:1ce97262b18e1011bed1ace3c4bf5a6a4a2f022e2d2d18658b44ee5fc380870a

Observation 06e9d144-3f3f-4ad6-ac8c-ee8731799d0d · inbound

StaminaBench: Stress-Testing Coding Agents over 100 Interaction Turns cites this paper.

StaminaBench: Stress-Testing Coding Agents over 100 Interaction Turns UserBench: An Interactive Gym Environment for User-Centric Agents

Reference 43

Resolution
verified exact
arxiv_id, observed 2026-07-04T02:19:23.896653Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-26T19:47:59.090249Z digest=sha256:6822809501b55205004d7c7203b1e486d9a235a859ff680a2452bed2cf11810a

Observation 70ac613d-90b5-4b9d-ae9d-e4c00280b5f5 · inbound

Clarify Before Executing: A Self-Evolving Agent for Resolving Intent Asymmetry in 3D Tool Orchestration cites this paper.

Clarify Before Executing: A Self-Evolving Agent for Resolving Intent Asymmetry in 3D Tool Orchestration UserBench: An Interactive Gym Environment for User-Centric Agents

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-01T22:37:37.758872Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T22:37:37.758872Z digest=sha256:80a3e657a60b8e9bb62b8e5a8ef9e6a298359afb87d3ba1b246eea05c782ce58

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

AppWorld-UL: Benchmarking Diverse Agent-User Interactions for Tool-Use cites this paper.

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

Reference 51

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

Observation c969f1aa-d0aa-4e6a-be7a-1d872897054f · inbound

Long-Horizon Embodied Decision-Making via Multimodal Memory Compression cites this paper.

Long-Horizon Embodied Decision-Making via Multimodal Memory Compression UserBench: An Interactive Gym Environment for User-Centric Agents

Reference 53

Resolution
unresolved
no resolver link, observed 2026-08-06T00:13:24.345125Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T00:13:24.345125Z digest=sha256:e4f5fbeba594e93433e9ad23bebdd882f7a7099e1419df0fe33a5d6ee67eea95