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Paper Citation Record · LEDGER

Beyond Syntax: Action Semantics Learning for App Agents

As of 5 August 2026, this Paper Citation Record lists 31 of 31 outbound references and 0 inbound Pith citation observations for arXiv:2506.17697.

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

pith.paper-citation-record.v1
2506.17697 v3

Coverage vector

measured 31 of 31 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-19T07:31:33.690689Z

measured 31 of 31 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-05T06:32:48.257954+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

31 of 31 outbound references displayed

  • verified exact14
  • verified fuzzy17
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 07d46df5-c3ad-4237-9e6b-65635a632ea6 · outbound

This paper cites Camel: Commu- nicative agents for" mind" exploration of large language model society.NeurIPS, 36:51991–52008.

Beyond Syntax: Action Semantics Learning for App Agents Camel: Commu- nicative agents for" mind" exploration of large language model society.NeurIPS, 36:51991–52008

Reference 1

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verified fuzzy
raw_fallback, observed 2026-05-19T07:32:09.643323Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-19T07:31:33.690689Z digest=sha256:f001ca90bcd9469e44d990cc3b94ae4f9e6854e47f746f15ce28e3c41f7f698d

Observation fd9f01dd-d766-47f6-a643-946b03742edf · outbound

This paper cites Tora: A tool-integrated reasoning agent for mathematical problem solving.

Beyond Syntax: Action Semantics Learning for App Agents Tora: A tool-integrated reasoning agent for mathematical problem solving

Reference 2

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verified fuzzy
raw_fallback, observed 2026-05-19T07:32:09.624287Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-19T07:31:33.690689Z digest=sha256:8752dbd289012e981381c92e7ba2d7958e3cb10fafc50df5f6b51b13a15f6a8c

Observation 289bb91d-ce81-41aa-8a7f-078c8cc4143b · outbound

This paper cites A review of large language models and autonomous agents in chemistry.Chemical Science.

Beyond Syntax: Action Semantics Learning for App Agents A review of large language models and autonomous agents in chemistry.Chemical Science

Reference 3

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verified fuzzy
raw_fallback, observed 2026-05-19T07:32:09.641299Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-19T07:31:33.690689Z digest=sha256:70352746d1d5d81752ed75bea95882a22f3228dfc94deaf5d52f7ece19835640

Observation be0c0399-53a8-4087-93f2-91d82aa159de · outbound

This paper cites Self-evolving multi-agent collaboration networks for software development.

Beyond Syntax: Action Semantics Learning for App Agents Self-evolving multi-agent collaboration networks for software development

Reference 4

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raw_fallback, observed 2026-05-19T07:32:09.661794Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-19T07:31:33.690689Z digest=sha256:af9919e1387758c75db61610684b6a49c41b41e9ab5fbe6c21f60d278d1c5c82

Observation fa55ceda-e9c7-4550-85d4-c64db1dea685 · outbound

This paper cites Androidinthewild: A large-scale dataset for android device control.NeurIPS, 36.

Beyond Syntax: Action Semantics Learning for App Agents Androidinthewild: A large-scale dataset for android device control.NeurIPS, 36

Reference 5

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verified fuzzy
raw_fallback, observed 2026-05-19T07:32:09.657134Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-19T07:31:33.690689Z digest=sha256:a7431188835c4736c299837bc82e79b420a9108e8e36db8bbc0010fea1e6c544

Observation 2c349e69-d9b9-485e-b060-14e5dc78642a · outbound

This paper cites AndroidWorld: A Dynamic Benchmarking Environment for Autonomous Agents.

Beyond Syntax: Action Semantics Learning for App Agents AndroidWorld: A Dynamic Benchmarking Environment for Autonomous Agents

Reference 6

Resolution
verified exact
local_arxiv, observed 2026-05-19T07:32:08.756384Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-19T07:31:33.690689Z digest=sha256:7c98c2e85067ee525d0a8524f16c217085f48fe328ffd442ba2a229b7d5a0dde

Observation 336fa2fc-e533-4114-a8a4-0d5971d30030 · outbound

This paper cites Mobile-Agent-v2: Mobile Device Operation Assistant with Effective Navigation via Multi-Agent Collaboration.

Beyond Syntax: Action Semantics Learning for App Agents Mobile-Agent-v2: Mobile Device Operation Assistant with Effective Navigation via Multi-Agent Collaboration

Reference 7

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arxiv_id, observed 2026-05-19T07:32:08.753491Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-19T07:31:33.690689Z digest=sha256:c2a4ceda2a6cce12aa7b4b4e4aa047c18d5dd899c54982233bd6de7167273af0

Observation fa606721-5759-4a79-8959-d11cae58e30c · outbound

This paper cites DistRL: An Asynchronous Distributed Reinforcement Learning Framework for On-Device Control Agents.

Beyond Syntax: Action Semantics Learning for App Agents DistRL: An Asynchronous Distributed Reinforcement Learning Framework for On-Device Control Agents

Reference 8

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arxiv_id, observed 2026-05-19T07:32:08.768556Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-19T07:31:33.690689Z digest=sha256:e4e7b1b93ef881f98e038a55cd73b7f133f7f9ae6eb85bee9327782555be37ea

Observation 560664f2-5171-41c6-91c9-2d8b4e06bbd8 · outbound

This paper cites Spa-bench: A comprehensive benchmark for smartphone agent evaluation.

Beyond Syntax: Action Semantics Learning for App Agents Spa-bench: A comprehensive benchmark for smartphone agent evaluation

Reference 9

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raw_fallback, observed 2026-05-19T07:32:09.659630Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-19T07:31:33.690689Z digest=sha256:8a50804f352ee9de7ff36eb74367f57a8ce4ab5a1d99e6477c36ec22315cc429

Observation cb5ffc83-6523-44c0-8493-69f4d94d5419 · outbound

This paper cites Lightweight Neural App Control.

Beyond Syntax: Action Semantics Learning for App Agents Lightweight Neural App Control

Reference 10

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verified exact
arxiv_id, observed 2026-05-19T07:32:08.737899Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-19T07:31:33.690689Z digest=sha256:09b56b2d8ef5bcbb131224f2832763c5a703fa279cacda3279fe686806638417

Observation b314e664-fe38-45fc-8682-15458a3aa298 · outbound

This paper cites Appagent: Multimodal agents as smartphone users.

Beyond Syntax: Action Semantics Learning for App Agents Appagent: Multimodal agents as smartphone users

Reference 11

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raw_fallback, observed 2026-05-19T07:32:09.651906Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-19T07:31:33.690689Z digest=sha256:f24cccfcdd3ccc20ffaf4898493e1f5d45b3162b2dd669b81b0c82e9d04d1ee1

Observation 254a7d91-7519-40d7-aba5-e6f0d4b3be98 · outbound

This paper cites On the Effects of Data Scale on UI Control Agents.

Beyond Syntax: Action Semantics Learning for App Agents On the Effects of Data Scale on UI Control Agents

Reference 12

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verified exact
arxiv_id, observed 2026-05-19T07:32:08.732022Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-19T07:31:33.690689Z digest=sha256:3593c5dc0c72730de8c5c9a99a6939cabcccd09e2ec3a58b5db64fcda72cfe7d

Observation 11e07277-07d5-45a8-ae91-360f21b4c219 · outbound

This paper cites Digirl: Training in-the-wild device-control agents with autonomous reinforcement learning.Advances in Neural Information Processing Systems, 37:12461–12495.

Beyond Syntax: Action Semantics Learning for App Agents Digirl: Training in-the-wild device-control agents with autonomous reinforcement learning.Advances in Neural Information Processing Systems, 37:12461–12495

Reference 13

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raw_fallback, observed 2026-05-19T07:32:09.654574Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-19T07:31:33.690689Z digest=sha256:b7d1ea914bd5cefde3af2cac68d6bd2b6e1e817be2b317a3e939214ed0db5174

Observation 92306ef5-7d40-4a89-9b4d-1ffe74e7c923 · outbound

This paper cites MIT press.

Beyond Syntax: Action Semantics Learning for App Agents MIT press

Reference 14

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raw_fallback, observed 2026-05-19T07:32:09.649930Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-19T07:31:33.690689Z digest=sha256:09e4b0840c9e293fd4111ea86dc8f284802ffd10fbd7b33e677236780526a9ae

Observation 68e8f1bb-e42b-4366-93bf-99e81b565c3d · outbound

This paper cites Web Agents with World Models: Learning and Leveraging Environment Dynamics in Web Navigation.

Beyond Syntax: Action Semantics Learning for App Agents Web Agents with World Models: Learning and Leveraging Environment Dynamics in Web Navigation

Reference 15

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verified exact
arxiv_id, observed 2026-05-19T07:32:08.729111Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-19T07:31:33.690689Z digest=sha256:f39d6ccccae6e8c83347da82add522e8aca6ba15c75c38b5466d6aa4140c5740

Observation a81a23ca-e5ba-460f-b77b-ae3d7af39032 · outbound

This paper cites InfiGUIAgent: A Multimodal Generalist GUI Agent with Native Reasoning and Reflection.

Beyond Syntax: Action Semantics Learning for App Agents InfiGUIAgent: A Multimodal Generalist GUI Agent with Native Reasoning and Reflection

Reference 16

Resolution
verified exact
arxiv_id, observed 2026-05-19T07:32:08.747298Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-19T07:31:33.690689Z digest=sha256:869c5f3db6070951f411acfa3619def7029dc67b2c5a42b4c050f39e8c337bbe

Observation 2770fa58-a26c-472d-b1e5-aabceadb56d0 · outbound

This paper cites A path towards autonomous machine intelligence version 0.9.

Beyond Syntax: Action Semantics Learning for App Agents A path towards autonomous machine intelligence version 0.9

Reference 17

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raw_fallback, observed 2026-05-19T07:32:09.648102Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-19T07:31:33.690689Z digest=sha256:b88d13ba1b1fad359bd291604fd5050e6f214984f97b6fea6d2d2bd7b6747e8c

Observation 4f83ab78-444f-4016-9db6-614b7e08e1fe · outbound

This paper cites Understanding world or predicting future? a comprehensive survey of world models.

Beyond Syntax: Action Semantics Learning for App Agents Understanding world or predicting future? a comprehensive survey of world models

Reference 18

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verified exact
arxiv_id, observed 2026-05-19T07:32:08.743833Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-19T07:31:33.690689Z digest=sha256:e9f14cfaf49651c7b662c0e9b4590622f1afc7268cc75cdbcda78044890990f3

Observation fec2d149-a9ef-4b91-a1b4-e57f7cd248ba · outbound

This paper cites Learning Interactive Real-World Simulators.

Beyond Syntax: Action Semantics Learning for App Agents Learning Interactive Real-World Simulators

Reference 19

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verified exact
local_arxiv, observed 2026-05-19T07:32:08.740683Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-19T07:31:33.690689Z digest=sha256:41a125181df19508eab1d4e4f7f46308c783cc3cf1522c590743a4282968bc24

Observation 336692a1-eda4-4520-9bc3-b1f0b07728e7 · outbound

This paper cites 3D-VLA: A 3D Vision-Language-Action Generative World Model.

Beyond Syntax: Action Semantics Learning for App Agents 3D-VLA: A 3D Vision-Language-Action Generative World Model

Reference 20

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verified exact
local_arxiv, observed 2026-05-19T07:32:08.750282Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-19T07:31:33.690689Z digest=sha256:b8268e4a4ff6a964e04f0fada6214a3c079f6ac69da727597f6d1a2afee4b543

Observation 5c24657a-1f1f-40a8-a742-21469979ed69 · outbound

This paper cites RoboDreamer: Learning Compositional World Models for Robot Imagination.

Beyond Syntax: Action Semantics Learning for App Agents RoboDreamer: Learning Compositional World Models for Robot Imagination

Reference 21

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local_arxiv, observed 2026-05-19T07:32:08.759287Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-19T07:31:33.690689Z digest=sha256:5fa3d7e0fa1159d9486f9531799bb95f28488721219dbb14f646b01c54640acd

Observation 124b3522-7167-4077-bca2-f128391635d6 · outbound

This paper cites Compositional foundation models for hierarchical planning.Advances in Neural Information Processing Systems, 36:22304–22325.

Beyond Syntax: Action Semantics Learning for App Agents Compositional foundation models for hierarchical planning.Advances in Neural Information Processing Systems, 36:22304–22325

Reference 22

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raw_fallback, observed 2026-05-19T07:32:09.634723Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-19T07:31:33.690689Z digest=sha256:7898778f42d59157273b5ef5c35002b78aa6b531ad7fa964f865efa76d91c7da

Observation c2d6d82a-e7e9-4f4c-bf0b-6713dfc5797b · outbound

This paper cites Is Your LLM Secretly a World Model of the Internet? Model-Based Planning for Web Agents.

Beyond Syntax: Action Semantics Learning for App Agents Is Your LLM Secretly a World Model of the Internet? Model-Based Planning for Web Agents

Reference 23

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arxiv_id, observed 2026-05-19T07:32:08.765321Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-19T07:31:33.690689Z digest=sha256:b40c56798a75f8d657da7cd4bdc8f4ac7bd47d909007a97358e4eb4852a69c55

Observation a577393c-d440-4437-a719-289c6f41b3f3 · outbound

This paper cites A picture is worth a thousand words: Language models plan from pixels.

Beyond Syntax: Action Semantics Learning for App Agents A picture is worth a thousand words: Language models plan from pixels

Reference 24

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raw_fallback, observed 2026-05-19T07:32:09.637035Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-19T07:31:33.690689Z digest=sha256:41f382c3363bc866a33b605d97ac37129dea393c20acb089e038650452900984

Observation e55c3e53-7389-422e-be53-14063b077fb4 · outbound

This paper cites Simple statistical gradient-following algorithms for connectionist reinforcement learning.Machine learning, 8:229–256.

Beyond Syntax: Action Semantics Learning for App Agents Simple statistical gradient-following algorithms for connectionist reinforcement learning.Machine learning, 8:229–256

Reference 25

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raw_fallback, observed 2026-05-19T07:32:09.639087Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-19T07:31:33.690689Z digest=sha256:9c2e2228a39c57c7f5b689bdf0a689956acf6d848e7d0e61c815a7fec76613c5

Observation 9085e049-d3e5-44e6-bb98-17e728330be9 · outbound

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

Beyond Syntax: Action Semantics Learning for App Agents WebGPT: Browser-assisted question-answering with human feedback

Reference 26

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verified exact
local_arxiv, observed 2026-05-19T07:32:08.734852Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-19T07:31:33.690689Z digest=sha256:d3086a88df44e4811c2b4d6d3ad406de2a676bb78da67a7c0b72f7b550e73ef6

Observation eb7f7722-032f-4429-b102-1c5abbfa8ac8 · outbound

This paper cites Training language models to follow instructions with human feedback.Advances in neural information processing systems, 35:27730–27744.

Beyond Syntax: Action Semantics Learning for App Agents Training language models to follow instructions with human feedback.Advances in neural information processing systems, 35:27730–27744

Reference 27

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raw_fallback, observed 2026-05-19T07:32:09.645806Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-19T07:31:33.690689Z digest=sha256:4f264dd836e3c59d62e670ae7cce349997bab1692e8076a5ce26d339552249df

Observation 84384865-87cd-4157-b8f8-d88727f32f33 · outbound

This paper cites Direct preference optimization: Your language model is secretly a reward model.

Beyond Syntax: Action Semantics Learning for App Agents Direct preference optimization: Your language model is secretly a reward model

Reference 28

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raw_fallback, observed 2026-05-19T07:32:09.628999Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-19T07:31:33.690689Z digest=sha256:b94c10cc2d4e6df40f0f309ceeb6f3a0a90b642fca61dbfcb2c57e97b37ae5cd

Observation 4d175ee8-6e68-45ea-abe3-e546d2abd256 · outbound

This paper cites Bert: Pre-training of deep bidi- rectional transformers for language understanding.

Beyond Syntax: Action Semantics Learning for App Agents Bert: Pre-training of deep bidi- rectional transformers for language understanding

Reference 29

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raw_fallback, observed 2026-05-19T07:32:09.632713Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-19T07:31:33.690689Z digest=sha256:106bd46fd9567067949a65a37c3c2fa07044192c67711f851e90991deeb86ccb

Observation 4fbb17d6-a480-49be-9e68-1b415fd15f0d · outbound

This paper cites AndroidLab: Training and Systematic Benchmarking of Android Autonomous Agents.

Beyond Syntax: Action Semantics Learning for App Agents AndroidLab: Training and Systematic Benchmarking of Android Autonomous Agents

Reference 30

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arxiv_id, observed 2026-05-19T07:32:08.762377Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-19T07:31:33.690689Z digest=sha256:b5c6bc60cb812568956349ed7cca90eb3b0a030cf09b8b85b7238456550e3a6d

Observation 85fe4db0-2803-4220-b45d-76b0ef32474d · outbound

This paper cites Introducing gemini 2.0: our new ai model for the agentic era, December 2024.

Beyond Syntax: Action Semantics Learning for App Agents Introducing gemini 2.0: our new ai model for the agentic era, December 2024

Reference 31

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raw_fallback, observed 2026-05-19T07:32:09.626722Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-19T07:31:33.690689Z digest=sha256:6d681db60446accbc5777146dc967ac2e15e1d393a4c69e44706d9cfe6b7b804

Pith citing papers

No inbound Pith citation observations are available.