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Paper Citation Record · LEDGER

WEBSERV: A Full-Stack and RL-Ready Web Environment for Training Web Agents at Scale

As of 6 August 2026, this Paper Citation Record lists 14 of 14 outbound references and 1 inbound Pith citation observation for arXiv:2510.16252.

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

pith.paper-citation-record.v1
2510.16252 v2

Coverage vector

measured 14 of 14 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-21T20:36:01.346717Z

measured 15 of 15 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-06T06:34:29.942622+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-10T13:40:55.540869Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-10T13:45:28.624902Z

Reference resolution

14 of 14 outbound references displayed

  • verified exact0
  • verified fuzzy12
  • unresolved2
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 52a03d22-55b7-475e-bfde-8dd19d20913c · outbound

This paper cites An Empathy-Based Sandbox Approach to Bridge the Privacy Gap among Attitudes, Goals, Knowledge, and Behaviors.

WEBSERV: A Full-Stack and RL-Ready Web Environment for Training Web Agents at Scale An Empathy-Based Sandbox Approach to Bridge the Privacy Gap among Attitudes, Goals, Knowledge, and Behaviors

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T20:45:36.235247Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-21T20:36:01.346717Z digest=sha256:721f2b26bb9557d20749aa643d7cb833223c0719361ad713d478e2b6d9ae6542

Observation 0ef226a0-fd76-4256-9e79-c5a5e626e411 · outbound

This paper cites an unresolved cited work.

WEBSERV: A Full-Stack and RL-Ready Web Environment for Training Web Agents at Scale Unresolved cited work

Reference 2

Resolution
unresolved
raw_fallback, observed 2026-05-21T20:45:36.241717Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-21T20:36:01.346717Z digest=sha256:72aef29047803874c5a00af72ff93421f8bc5f344e6973c7b31a8b992dc28519

Observation 5c162f66-0b87-40ec-96a3-d2b5472a4bd4 · outbound

This paper cites Huang, Mustafa Safdari, Yutaka Matsuo, Douglas Eck, and Aleksandra Faust.

WEBSERV: A Full-Stack and RL-Ready Web Environment for Training Web Agents at Scale Huang, Mustafa Safdari, Yutaka Matsuo, Douglas Eck, and Aleksandra Faust

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T20:45:36.250025Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-21T20:36:01.346717Z digest=sha256:2feb2f6122a991d02535840dad2a6afbe273a6d13f86dbb1eb4f83a2c7dc1457

Observation ab9668c7-5ea0-4728-bef4-a7f779dd0f37 · outbound

This paper cites WebV oyager: Building an End-to-End Web Agent with Large Multimodal Models, June 2024.

WEBSERV: A Full-Stack and RL-Ready Web Environment for Training Web Agents at Scale WebV oyager: Building an End-to-End Web Agent with Large Multimodal Models, June 2024

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T20:45:36.239831Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-21T20:36:01.346717Z digest=sha256:92635448bea91f35b44a55243a8bb880b7f48a8d3ca6f0ab43ba794efe651b27

Observation 8c847310-260e-4c94-9311-93434ac0ae04 · outbound

This paper cites Prompting is Not All You Need! Evaluating LLM Agent Simulation Methodologies with Real-World Online Customer Behavior Data, June 2025.

WEBSERV: A Full-Stack and RL-Ready Web Environment for Training Web Agents at Scale Prompting is Not All You Need! Evaluating LLM Agent Simulation Methodologies with Real-World Online Customer Behavior Data, June 2025

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T20:45:36.237547Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-21T20:36:01.346717Z digest=sha256:0803922c5e61d3d3f0dc3772df735960572d38cffa688cde48f4d5b82e38c907

Observation 6ec08ade-0641-4ed2-b615-38c22a627f47 · outbound

This paper cites UXAgent: An LLM Agent-Based Usability Testing Framework for Web Design, February 2025.

WEBSERV: A Full-Stack and RL-Ready Web Environment for Training Web Agents at Scale UXAgent: An LLM Agent-Based Usability Testing Framework for Web Design, February 2025

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T20:45:36.245773Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-21T20:36:01.346717Z digest=sha256:d4ea5e537e957325f7068c7caf1058f657ffbe9a19c1552499d2e2a74c968945

Observation ea26e9f4-399c-4456-80ae-8d049465072d · outbound

This paper cites WILBUR: Adaptive In-Context Learning for Robust and Accurate Web Agents, April 2024.

WEBSERV: A Full-Stack and RL-Ready Web Environment for Training Web Agents at Scale WILBUR: Adaptive In-Context Learning for Robust and Accurate Web Agents, April 2024

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T20:45:36.224110Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-21T20:36:01.346717Z digest=sha256:76e84ecbc5d3f990d6fabb5a59d980137edb2559c101a531e49eeeb9b9151d16

Observation d9b7f0d3-5114-4622-b58a-ecc1d08903e5 · outbound

This paper cites LASER: LLM Agent with State-Space Exploration for Web Navigation, February 2024.

WEBSERV: A Full-Stack and RL-Ready Web Environment for Training Web Agents at Scale LASER: LLM Agent with State-Space Exploration for Web Navigation, February 2024

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T20:45:36.248077Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-21T20:36:01.346717Z digest=sha256:34afbcbd2f92c250300e6a43aa5bcf16d716a412749b8ea6a346bd3b9c6ee188

Observation 6dddde0b-5d03-43ae-831c-4ac124a51743 · outbound

This paper cites WebGPT: Browser-assisted question-answering with human feedback, June 2022.

WEBSERV: A Full-Stack and RL-Ready Web Environment for Training Web Agents at Scale WebGPT: Browser-assisted question-answering with human feedback, June 2022

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T20:45:36.243751Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-21T20:36:01.346717Z digest=sha256:7b8d9e7a0d4047e0586e835d5f623493e6ae2e502e9cd9341cb238a6d3877e93

Observation 15f182c5-affe-4ee4-97a3-d61af11eed6a · outbound

This paper cites WebRL: Training LLM Web Agents via Self-Evolving Online Curriculum Reinforcement Learning, January 2025.

WEBSERV: A Full-Stack and RL-Ready Web Environment for Training Web Agents at Scale WebRL: Training LLM Web Agents via Self-Evolving Online Curriculum Reinforcement Learning, January 2025

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T20:45:36.228647Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-21T20:36:01.346717Z digest=sha256:cbaa8d8d33dd9e3f479bdf4301901bddb07c6ce731806df92046dd301ee42aaa

Observation 5ca3f6bd-848b-4f86-8977-8c4999da3651 · outbound

This paper cites an unresolved cited work.

WEBSERV: A Full-Stack and RL-Ready Web Environment for Training Web Agents at Scale Unresolved cited work

Reference 11

Resolution
unresolved
raw_fallback, observed 2026-05-21T20:45:36.221957Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-21T20:36:01.346717Z digest=sha256:a01d2eddb6a5d8826da7ac01c92c6806e35b5976121681653a17937542d53f66

Observation 3d2e0e18-1d3a-48ad-8bb0-118dd7598c36 · outbound

This paper cites WebAgent-R1: Training Web Agents via End-to-End Multi-Turn Reinforcement Learning, May 2025.

WEBSERV: A Full-Stack and RL-Ready Web Environment for Training Web Agents at Scale WebAgent-R1: Training Web Agents via End-to-End Multi-Turn Reinforcement Learning, May 2025

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T20:45:36.226284Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-21T20:36:01.346717Z digest=sha256:0774499bf5039c407971e8620349d107bd1fbd6bc697d8c30abeadfb0ee4d4c2

Observation 9299c881-1ecd-4ee1-9ae0-67dd780c552a · outbound

This paper cites Narasimhan.

WEBSERV: A Full-Stack and RL-Ready Web Environment for Training Web Agents at Scale Narasimhan

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T20:45:36.232744Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-21T20:36:01.346717Z digest=sha256:cb1c4fc77a12392cb9e92bc334239d39010455bc4c4cdc342c674280e48d57af

Observation 4bc4f24e-d4de-4909-8c50-2040ea060980 · outbound

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

WEBSERV: A Full-Stack and RL-Ready Web Environment for Training Web Agents at Scale Xu, Hao Zhu, Xuhui Zhou, Robert Lo, Abishek Sridhar, Xianyi Cheng, Tianyue Ou, Yonatan Bisk, Daniel Fried, Uri Alon, and Graham Neubig

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T20:45:36.230882Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-21T20:36:01.346717Z digest=sha256:4196f8ed5adc039d8dd5842ebe3382ad898340297b3e98856b91736b001023f6

Pith citing papers

Observation 3cf920b9-2ddf-41c6-84ba-84a4a49ac229 · inbound

RiskWebWorld: A Realistic Interactive Benchmark for GUI Agents in E-commerce Risk Management cites this paper.

RiskWebWorld: A Realistic Interactive Benchmark for GUI Agents in E-commerce Risk Management WEBSERV: A Full-Stack and RL-Ready Web Environment for Training Web Agents at Scale

Reference 29

Resolution
verified exact
arxiv_id, observed 2026-05-20T00:04:14.857103Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-10T13:40:55.540869Z digest=sha256:f3f3839951acc46a1170f5ebea507da76ae5683b5db24fa1ab84c6f95e8db11a