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Paper Citation Record · LEDGER

OAgents: An Empirical Study of Building Effective Agents

As of 13 August 2026, this Paper Citation Record lists 45 of 45 outbound references and 11 inbound Pith citation observations for arXiv:2506.15741.

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

pith.paper-citation-record.v1
2506.15741 v2

Coverage vector

measured 45 of 45 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T00:13:52.382791Z

measured 56 of 56 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00

measured 11 of 11 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T23:26:57.038651Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-22T06:24:40.471116Z

Reference resolution

45 of 45 outbound references displayed

  • verified exact0
  • verified fuzzy21
  • unresolved24
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 1c2e5f87-3c6c-4900-abe0-0f82f1cd354d · outbound

This paper cites Desearch, 2024.

OAgents: An Empirical Study of Building Effective Agents Desearch, 2024

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:13:58.452952Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-07T00:13:46.815699Z digest=sha256:aaab6ee35a731e431f44145af5346950bdf38e3b76b0897c89b10b429468abfc

Observation 32cde615-9d40-41b5-ba87-0cf56ed760d4 · outbound

This paper cites Aworld: A unified agent playground for computer and phone use tasks, 2025.

OAgents: An Empirical Study of Building Effective Agents Aworld: A unified agent playground for computer and phone use tasks, 2025

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:13:58.219399Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-07T00:13:46.941354Z digest=sha256:27dd2871f2918b8db7997e134dd49a52d993fa4d1baa768b79420996b70f64c7

Observation 517a56ce-baf2-49b9-8484-b28d07eee0a5 · outbound

This paper cites TapeAgents: a Holistic Framework for Agent Development and Optimization.

OAgents: An Empirical Study of Building Effective Agents TapeAgents: a Holistic Framework for Agent Development and Optimization

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-07T00:13:47.053825Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:13:47.053825Z digest=sha256:1881b83eea6f2ecd2261b372936f15e79ead757f8678f35e3611bdbc603ea7a3

Observation 9662039e-dded-47ef-9d42-eb50299f61db · outbound

This paper cites AgentVerse: Facilitating Multi-Agent Collaboration and Exploring Emergent Behaviors.

OAgents: An Empirical Study of Building Effective Agents AgentVerse: Facilitating Multi-Agent Collaboration and Exploring Emergent Behaviors

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-07T00:13:47.151822Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:13:47.151822Z digest=sha256:2a94ed54869f742d93a469ce9702977e950df961af895c98ef64b3dcbbcd0a66

Observation 6602ca8c-2192-4c0e-a62c-d16f4def7342 · outbound

This paper cites Magentic-One: A Generalist Multi-Agent System for Solving Complex Tasks.

OAgents: An Empirical Study of Building Effective Agents Magentic-One: A Generalist Multi-Agent System for Solving Complex Tasks

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-07T00:13:47.281937Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:13:47.281937Z digest=sha256:bb6f76ba2608935b9d7358c535227704a8771191bcae43306d5805f6de8a4f0f

Observation 56575d40-60e7-4397-930f-807a351a95a8 · outbound

This paper cites Griffiths, and Mengdi Wang.

OAgents: An Empirical Study of Building Effective Agents Griffiths, and Mengdi Wang

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:13:57.895884Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-07T00:13:47.395447Z digest=sha256:410eccb017351f8e05fc9916ac61adff90c02e1a242adeb503407b8177cc5a62

Observation ce5a719d-e66d-40ea-bf6d-2406cf7db66c · outbound

This paper cites Autonomous agentic ai: execute multi-step workflows autonomously.

OAgents: An Empirical Study of Building Effective Agents Autonomous agentic ai: execute multi-step workflows autonomously

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:13:57.615223Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-07T00:13:47.498507Z digest=sha256:30f465b272b5c27c533834018085d91065ecda96d355471974ffac1fe4cab4e2

Observation f231c89c-18db-4460-8b70-5d884f17681f · outbound

This paper cites MetaGPT: Meta programming for a multi-agent collaborative framework.

OAgents: An Empirical Study of Building Effective Agents MetaGPT: Meta programming for a multi-agent collaborative framework

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:13:57.397930Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-07T00:13:47.631672Z digest=sha256:730bd8eedfe60db7ce199546f18e51b4afcd116c5f3468c20ffa85f7691dd214

Observation 9d444fbc-a769-4a0c-bcaa-4965c99e0bd7 · outbound

This paper cites Owl: Optimized workforce learning for general multi-agent assistance in real-world task automation, 2025.

OAgents: An Empirical Study of Building Effective Agents Owl: Optimized workforce learning for general multi-agent assistance in real-world task automation, 2025

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:13:57.174775Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-07T00:13:47.779480Z digest=sha256:1f6f8073805ec443b27a7a27477b8e71ce33a88539640d6431022f9cd8740010

Observation 7030cfdd-7577-4c56-acf6-40c51ad4e6ac · outbound

This paper cites Open deep research.

OAgents: An Empirical Study of Building Effective Agents Open deep research

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:13:56.979502Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-07T00:13:47.849766Z digest=sha256:a64b9806e3a1d2edec45e8a76220eefcd238cc13dcb843aaf0947069abfa627f

Observation 4dfa39b5-8eea-48fe-91f4-e2f3fa9b463b · outbound

This paper cites Camel: Communicative agents for" mind" exploration of large language model society.Advances in Neural Information Processing Systems, 36:51991–52008, 2023.

OAgents: An Empirical Study of Building Effective Agents Camel: Communicative agents for" mind" exploration of large language model society.Advances in Neural Information Processing Systems, 36:51991–52008, 2023

Reference 11

Resolution
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no resolver link, observed 2026-08-07T00:13:47.916817Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:13:47.916817Z digest=sha256:af4d87b66d19181af3248ee8d47607a3468227b8b3d7e2f6c36ad144a9fba36f

Observation cf71a29c-a9fe-40af-9f63-a17feb677c9f · outbound

This paper cites From LLM to Conversational Agent: A Memory Enhanced Architecture with Fine-Tuning of Large Language Models.

OAgents: An Empirical Study of Building Effective Agents From LLM to Conversational Agent: A Memory Enhanced Architecture with Fine-Tuning of Large Language Models

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-07T00:13:48.011470Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:13:48.011470Z digest=sha256:6deb884743f8f4f5954c1b7e35a2320a323ebf7a147bffd44db7da492ef194fe

Observation a318c2c2-242e-4e2d-85d8-ab507e60d21f · outbound

This paper cites A Dynamic LLM-Powered Agent Network for Task-Oriented Agent Collaboration.

OAgents: An Empirical Study of Building Effective Agents A Dynamic LLM-Powered Agent Network for Task-Oriented Agent Collaboration

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-07T00:13:48.159469Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:13:48.159469Z digest=sha256:8b3fe93cb513a53cb5b0439d4311e55dd09d373abbef7c0b49f6b1020aba00d7

Observation a029f4df-3170-4735-a621-01eb1333c0b8 · outbound

This paper cites Gaia: a benchmark for general ai assistants.

OAgents: An Empirical Study of Building Effective Agents Gaia: a benchmark for general ai assistants

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:13:56.804813Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-07T00:13:48.279322Z digest=sha256:bcc9f2c7c87df28ec4e02c987b4b9ad49e6265464c31b828017d57b80191e218

Observation 09284918-7d08-4389-ae64-70d857f16c79 · outbound

This paper cites deepresearch, 2024.

OAgents: An Empirical Study of Building Effective Agents deepresearch, 2024

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:13:56.586411Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-07T00:13:48.363544Z digest=sha256:70bf3ab2315b124b657a8e830615319cee5947da9009de8e00f5fa2e783d283a

Observation a58c4ffa-a65a-479d-9746-1d9f83a9008f · outbound

This paper cites Langfun, September 2023.

OAgents: An Empirical Study of Building Effective Agents Langfun, September 2023

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:13:56.319823Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-07T00:13:48.511650Z digest=sha256:28d728954ae9e5b90dca3039d9ddd8263720cc350d5a259a4809d5288f380cf1

Observation aa708518-f1a7-4c0e-b16c-79530d039ff6 · outbound

This paper cites Tool learning with foundation models.ACM Computing Surveys, 57(4):1–40, 2024.

OAgents: An Empirical Study of Building Effective Agents Tool learning with foundation models.ACM Computing Surveys, 57(4):1–40, 2024

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-07T00:13:48.652264Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:13:48.652264Z digest=sha256:1a5c33925845fcd0de33e665ab734170d94a4fd7a830a9691b55ba11b14e0818

Observation 257d6c74-d24e-4af1-a632-8c7075dc5f02 · outbound

This paper cites Alita: Generalist Agent Enabling Scalable Agentic Reasoning with Minimal Predefinition and Maximal Self-Evolution.

OAgents: An Empirical Study of Building Effective Agents Alita: Generalist Agent Enabling Scalable Agentic Reasoning with Minimal Predefinition and Maximal Self-Evolution

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-07T00:13:48.801719Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:13:48.801719Z digest=sha256:7ecf28258bf28d9c877958c05193eb19f10634e8c625da506aa30c8f98dd7ad1

Observation bc0b9500-9fe1-440f-8939-d443b9a2a928 · outbound

This paper cites ‘smola- gents‘: a smol library to build great agentic systems.https://github.com/huggingface/smolagents, 2025.

OAgents: An Empirical Study of Building Effective Agents ‘smola- gents‘: a smol library to build great agentic systems.https://github.com/huggingface/smolagents, 2025

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:13:56.108689Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-07T00:13:48.963050Z digest=sha256:5c0d5cdfc46b5e97f302d7a6a6c1035e2901dfc28eef6d559bf9ddfeefca3093

Observation 30bb535c-fea0-402b-8eb2-5f7190344157 · outbound

This paper cites TaskCraft: Automated Generation of Agentic Tasks.

OAgents: An Empirical Study of Building Effective Agents TaskCraft: Automated Generation of Agentic Tasks

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-07T00:13:49.111317Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:13:49.111317Z digest=sha256:7998e66634a4b25e7fd1279e174fb8660211e3339181954ee188e2e5c64693e0

Observation e7cc551d-e8b5-49b7-8241-de8912368ede · outbound

This paper cites Reflexion: Language Agents with Verbal Reinforcement Learning.

OAgents: An Empirical Study of Building Effective Agents Reflexion: Language Agents with Verbal Reinforcement Learning

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-07T00:13:49.215305Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:13:49.215305Z digest=sha256:64d45d3a1c6ab9c21baa24e877afcd52086af20723fa6d5d950510feb01c1ba9

Observation 9dcdfdb0-cac5-40b0-b5e3-694e0748f893 · outbound

This paper cites an unresolved cited work.

OAgents: An Empirical Study of Building Effective Agents Unresolved cited work

Reference 22

Resolution
unresolved
raw_fallback, observed 2026-08-07T00:13:55.780752Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-07T00:13:49.352390Z digest=sha256:8db852d7d2011bce9ecb56c15c1dca13c40d30a2f07669d9552adcc91654c7b3

Observation acf36474-ef64-4132-9ed8-74118fc1fa70 · outbound

This paper cites Llm-planner: Few-shot grounded planning for embodied agents with large language models.

OAgents: An Empirical Study of Building Effective Agents Llm-planner: Few-shot grounded planning for embodied agents with large language models

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-07T00:13:49.481512Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:13:49.481512Z digest=sha256:7cc8411a2f5a965a8c7d24d740984697b94eab49992b571e8db3ec0b887b618c

Observation 2bf78b9b-8add-4c0d-a191-8326152c9403 · outbound

This paper cites Autoagent: A fully-automated and zero-code framework for llm agents.

OAgents: An Empirical Study of Building Effective Agents Autoagent: A fully-automated and zero-code framework for llm agents

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:13:55.489469Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-07T00:13:49.599577Z digest=sha256:5096ed8c7b69b9bcfae18bb7c1b44e818aa66a63cba08c0cfe2b47fab931e374

Observation 56eb469b-a933-4aa2-b3dd-738230d1c4f8 · outbound

This paper cites Mader: Trajectory planner in multiagent and dynamic environments.

OAgents: An Empirical Study of Building Effective Agents Mader: Trajectory planner in multiagent and dynamic environments

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:13:55.232216Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-07T00:13:49.775323Z digest=sha256:025200726080ce30fcb75db2af19b7e9f1f51800e3937a0f6486ab793e872097

Observation 2c4f7090-b4fc-40e2-9533-343166abd221 · outbound

This paper cites Meet trase systems.

OAgents: An Empirical Study of Building Effective Agents Meet trase systems

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:13:54.938772Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-07T00:13:49.906871Z digest=sha256:3ab13843d5743777a8bbf980c784352ff03810b26c80d80213cca54ee0c59ae5

Observation c8249628-3b99-4e0c-86e2-382bbe2b8d0c · outbound

This paper cites Executable code actions elicit better llm agents.

OAgents: An Empirical Study of Building Effective Agents Executable code actions elicit better llm agents

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:13:54.692871Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-07T00:13:50.086206Z digest=sha256:f3f8c039fa1438f994f319f07ce9e983df9bd8d2485c749a6246413e3aae2804

Observation fbeb1393-1d01-4ce8-b7ee-eda0c4b5eda1 · outbound

This paper cites BrowseComp: A Simple Yet Challenging Benchmark for Browsing Agents.

OAgents: An Empirical Study of Building Effective Agents BrowseComp: A Simple Yet Challenging Benchmark for Browsing Agents

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-07T00:13:50.210552Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:13:50.210552Z digest=sha256:495e74acd51a0d27c4aa10c6422261152a42a25a94638e0fa4b054b56e2b8808

Observation 40b2c95d-0446-484a-8fbd-ac417a603094 · outbound

This paper cites AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent Conversation.

OAgents: An Empirical Study of Building Effective Agents AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent Conversation

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-07T00:13:50.366488Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:13:50.366488Z digest=sha256:105ef1e3af75c7b5ba13cd366e579a55d2dbae8a7603a6cf81440ab81e2efe9e

Observation 9f31fd52-3a40-4355-a660-eea0383ba07d · outbound

This paper cites OS-Copilot: Towards Generalist Computer Agents with Self-Improvement.

OAgents: An Empirical Study of Building Effective Agents OS-Copilot: Towards Generalist Computer Agents with Self-Improvement

Reference 30

Resolution
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no resolver link, observed 2026-08-07T00:13:50.476842Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:13:50.476842Z digest=sha256:402eeee4dbc3ed34414e8cfcbb238d4e38b001bda9d640bd80738df0d215c4e3

Observation aca259be-0650-4848-9022-c86c2b99020d · outbound

This paper cites OpenAgents: An Open Platform for Language Agents in the Wild.

OAgents: An Empirical Study of Building Effective Agents OpenAgents: An Open Platform for Language Agents in the Wild

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-07T00:13:50.617078Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:13:50.617078Z digest=sha256:17d7876d8478697e60d89230124579b1f8a591f76981af61b73fcaf74bbc3a68

Observation d3d9f78e-9592-410e-baea-7d813de282d3 · outbound

This paper cites A-MEM: Agentic Memory for LLM Agents.

OAgents: An Empirical Study of Building Effective Agents A-MEM: Agentic Memory for LLM Agents

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-07T00:13:50.769843Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:13:50.769843Z digest=sha256:b9632fbd7ac6545ae1e9b8fa4bdeda75af7ec36068f36499d3d49623031634fe

Observation bd04901f-879e-4a62-b4ea-8a2ffb5d2dd2 · outbound

This paper cites How2comm: Communication-efficient and collaboration-pragmatic multi-agent perception.Advances in Neural Information Processing Systems, 36:25151–25164, 2023.

OAgents: An Empirical Study of Building Effective Agents How2comm: Communication-efficient and collaboration-pragmatic multi-agent perception.Advances in Neural Information Processing Systems, 36:25151–25164, 2023

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-07T00:13:50.901227Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:13:50.901227Z digest=sha256:ad97f4840631c987e8b090181c665e53bcd534e465dbf756127fc82820c91666

Observation 178aa423-dc47-4d33-99cc-595f46adc1ce · outbound

This paper cites What2comm: Towards communication-efficient collaborative perception via feature decoupling.

OAgents: An Empirical Study of Building Effective Agents What2comm: Towards communication-efficient collaborative perception via feature decoupling

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:13:54.382860Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-07T00:13:51.010621Z digest=sha256:0f29b6c4337ce881c6ea3652d853db1ec51d676c3ddcdc8988d6d2dfc60a90de

Observation 4d353de9-ff16-4f19-8e08-7f8c288f80a5 · outbound

This paper cites React: Synergizing reasoning and acting in language models.

OAgents: An Empirical Study of Building Effective Agents React: Synergizing reasoning and acting in language models

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-07T00:13:51.135824Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:13:51.135824Z digest=sha256:c38fd3ffb8965f71a35f5921ffb0310951c9c6dc85b2bc83292439c8be077dfe

Observation bfc8af92-1a06-414f-bb76-96da9f60c168 · outbound

This paper cites A Survey on the Memory Mechanism of Large Language Model based Agents.

OAgents: An Empirical Study of Building Effective Agents A Survey on the Memory Mechanism of Large Language Model based Agents

Reference 36

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no resolver link, observed 2026-08-07T00:13:51.262233Z

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source=pdf_text observed=2026-08-07T00:13:51.262233Z digest=sha256:05179039c14e86265863809facb08fa1ba0e653ccf75da97c56932061d31d8c1

Observation a7c2c337-e179-4623-bc4b-7dce25895179 · outbound

This paper cites Language Agent Tree Search Unifies Reasoning Acting and Planning in Language Models.

OAgents: An Empirical Study of Building Effective Agents Language Agent Tree Search Unifies Reasoning Acting and Planning in Language Models

Reference 37

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source=pdf_text observed=2026-08-07T00:13:51.373793Z digest=sha256:90272baad783bac7fa62410235fc011291724ae4e8c61d82572fdcd965316f45

Observation c12c299a-8194-4fdd-928b-d321c851a2c7 · outbound

This paper cites RecurrentGPT: Interactive Generation of (Arbitrarily) Long Text.

OAgents: An Empirical Study of Building Effective Agents RecurrentGPT: Interactive Generation of (Arbitrarily) Long Text

Reference 38

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no resolver link, observed 2026-08-07T00:13:51.494717Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-07T00:13:51.494717Z digest=sha256:634ea02097364742b527cae96c5a96666cb588e673da7e7cbe50cb993954c3df

Observation aa4feb40-a097-4dbc-ac34-d055ba8dc988 · outbound

This paper cites Agents: An open-source framework for autonomous language agents.

OAgents: An Empirical Study of Building Effective Agents Agents: An open-source framework for autonomous language agents

Reference 39

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verified fuzzy
raw_fallback, observed 2026-08-07T00:13:54.117434Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-07T00:13:51.656177Z digest=sha256:cc8d709e0e02a2c03f25803d199abe2600eca3f1626b4ccd7f95fbb41ad8800a

Observation e13ef49e-0936-4778-bcdb-029bb6b7089a · outbound

This paper cites Symbolic Learning Enables Self-Evolving Agents.

OAgents: An Empirical Study of Building Effective Agents Symbolic Learning Enables Self-Evolving Agents

Reference 40

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no resolver link, observed 2026-08-07T00:13:51.869032Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-07T00:13:51.869032Z digest=sha256:4eb459380aaa3a024cde885df51e454cdd3dd6e2408e0a102f002d7d4c4015dc

Observation 924c4453-17dc-4848-b6f4-d32204b24415 · outbound

This paper cites ELSE if given task can be broken down into subtasks, you will: • Identify all subtasks needed to complete the overall task.

OAgents: An Empirical Study of Building Effective Agents ELSE if given task can be broken down into subtasks, you will: • Identify all subtasks needed to complete the overall task

Reference 42

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verified fuzzy
raw_fallback, observed 2026-08-07T00:13:53.857875Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-07T00:13:51.984153Z digest=sha256:a7da74bc96b019f71318ae358c0b413c70699d976748b608a246d57ae206fa73

Observation fafbd3ef-9b3e-42a7-b2f8-9c659d3c622e · outbound

This paper cites **ST2:[Subtask Description].

OAgents: An Empirical Study of Building Effective Agents **ST2:[Subtask Description]

Reference 43

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verified fuzzy
raw_fallback, observed 2026-08-07T00:13:53.533831Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-07T00:13:52.164480Z digest=sha256:48f361452016da9368ee7957ff3f8ff6c204c2db107aeebb3493dd4e1c993ad9

Observation 0f674fae-4ac5-4b76-9f6c-6495a1129a75 · outbound

This paper cites Wait for ST[X] to complete.

OAgents: An Empirical Study of Building Effective Agents Wait for ST[X] to complete

Reference 44

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verified fuzzy
raw_fallback, observed 2026-08-07T00:13:53.241574Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-07T00:13:52.268679Z digest=sha256:2ceee3b6dfb696f919013288d974b2bf6254aeea31e3e889698c06ce995952b3

Observation 1135642d-f588-4f14-81d2-c6e28ebb9f4c · outbound

This paper cites Problems.

OAgents: An Empirical Study of Building Effective Agents Problems

Reference 45

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verified fuzzy
raw_fallback, observed 2026-08-07T00:13:52.952564Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-07T00:13:52.382791Z digest=sha256:6eb454f29a7b16b8405f9df277570db483fbe3ac159955db7171f64369d4d245

Observation 633fa9d3-ef5b-491f-b70f-7b83f22c5e28 · outbound

This paper cites Agents: An Open-source Framework for Autonomous Language Agents.

OAgents: An Empirical Study of Building Effective Agents Agents: An Open-source Framework for Autonomous Language Agents

Reference 2023

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no resolver link, observed 2026-08-07T00:13:51.773055Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-07T00:13:51.773055Z digest=sha256:aa1fe5d44e67bd602236e8836918a79a8c44f7c63673e6981a0d3fa28baeb50b

Pith citing papers

Observation 38d0509b-bed6-4c1e-85a3-b505c1abfd2d · inbound

Deep Research Agents: A Systematic Examination And Roadmap cites this paper.

Deep Research Agents: A Systematic Examination And Roadmap OAgents: An Empirical Study of Building Effective Agents

Reference 143

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no resolver link, observed 2026-08-06T23:26:57.038651Z

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source=pdf_text observed=2026-08-06T23:26:57.038651Z digest=sha256:e11e086f6714938aa23458dbb683a2a1b3186e8cc56c940910a83d1ef14252cc

Observation 8aa57a3f-e075-4268-8be8-77b50d92301c · inbound

WebShaper: Agentically Data Synthesizing via Information-Seeking Formalization cites this paper.

WebShaper: Agentically Data Synthesizing via Information-Seeking Formalization OAgents: An Empirical Study of Building Effective Agents

Reference 19

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no resolver link, observed 2026-08-06T15:46:06.517754Z

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source=pdf_text observed=2026-08-06T15:46:06.517754Z digest=sha256:e8946a69627a08736c5f488117c81a259e45e4bf8565e2c2612ec3acf17b0858

Observation 9b65c159-bdc7-4a02-8fda-10dd6451f6da · inbound

Cognitive Kernel-Pro: A Framework for Deep Research Agents and Agent Foundation Models Training cites this paper.

Cognitive Kernel-Pro: A Framework for Deep Research Agents and Agent Foundation Models Training OAgents: An Empirical Study of Building Effective Agents

Reference 15

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verified exact
arxiv_id, observed 2026-05-19T01:51:57.862354Z

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No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-19T01:50:30.626249Z digest=sha256:3ecda438546e3c3755f2670c8e72a1d53740d39c4a58fa7a24cbf3869e4a42d2

Observation 703b22d4-151c-4059-879e-d92854343ae8 · inbound

WebWatcher: Breaking New Frontier of Vision-Language Deep Research Agent cites this paper.

WebWatcher: Breaking New Frontier of Vision-Language Deep Research Agent OAgents: An Empirical Study of Building Effective Agents

Reference 31

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verified exact
arxiv_id, observed 2026-05-15T18:56:23.848489Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-15T18:56:23.817544Z digest=sha256:93dae12300932f13069313ad194519cc45daa3e08cd6e7ff59cf40e3cd11a10f

Observation bea47f24-507f-4a7c-aacb-ab5965079b03 · inbound

Chain-of-Agents: End-to-End Agent Foundation Models via Multi-Agent Distillation and Agentic RL cites this paper.

Chain-of-Agents: End-to-End Agent Foundation Models via Multi-Agent Distillation and Agentic RL OAgents: An Empirical Study of Building Effective Agents

Reference 82

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no resolver link, observed 2026-08-05T23:57:37.634454Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T23:57:37.634454Z digest=sha256:6cb40a4acd157b86508cc4bb770c0781189a368bcbb3f4957c54542ff134f16d

Observation 9a6d389b-024e-4c88-b3ec-1592c6b15c37 · inbound

ToolSelf: Unifying Task Execution and Self-Reconfiguration via Tool-Driven Emergent Adaptation cites this paper.

ToolSelf: Unifying Task Execution and Self-Reconfiguration via Tool-Driven Emergent Adaptation OAgents: An Empirical Study of Building Effective Agents

Reference 15

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no resolver link, observed 2026-08-03T03:30:06.646564Z

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source=pdf_text observed=2026-08-03T03:30:06.646564Z digest=sha256:5ccc43588633fdc6635e2c52b7132d46bfa0aee73b7c33bd19612c85cc62affc

Observation dfc8d42a-dda4-4fb9-8e97-463134c52c78 · inbound

EcoGym: Evaluating LLMs for Long-Horizon Plan-and-Execute in Interactive Economies cites this paper.

EcoGym: Evaluating LLMs for Long-Horizon Plan-and-Execute in Interactive Economies OAgents: An Empirical Study of Building Effective Agents

Reference 44

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verified exact
arxiv_id, observed 2026-05-16T05:57:24.592377Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-16T05:53:29.860037Z digest=sha256:608daf7c4eb845002b7cc5e29aedcd49881ad638fc3152daeaf1c01ad58dc054

Observation 0601ba42-504c-42ff-b7f7-86680d6627e3 · inbound

Inference-Time Budget Control for LLM Search Agents cites this paper.

Inference-Time Budget Control for LLM Search Agents OAgents: An Empirical Study of Building Effective Agents

Reference 78

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verified exact
arxiv_id, observed 2026-05-11T19:31:07.878589Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-08T11:51:02.872129Z digest=sha256:f9ed6b862a9f64f1560f8acb7dc5c4a0bcf61584b4116bab5447cb01d13846fe

Observation 4f8c48d2-936e-48ae-8c29-7a326fb2f776 · inbound

IdleSpec: Exploiting Idle Time via Speculative Planning for LLM Agents cites this paper.

IdleSpec: Exploiting Idle Time via Speculative Planning for LLM Agents OAgents: An Empirical Study of Building Effective Agents

Reference 30

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verified exact
arxiv_id, observed 2026-05-22T06:24:40.474558Z

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No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-22T06:21:56.971204Z digest=sha256:847ee97070ea596c1e082d87ed2ff9cd0f7f39479d4854fd541651e9fe1eeed0

Observation 6df39a40-b9af-475c-8dc7-f291ec2cb39b · inbound

AgentCheck: A Reproduce-Intervene-Mitigate Workbench for LLM Agents over MCP cites this paper.

AgentCheck: A Reproduce-Intervene-Mitigate Workbench for LLM Agents over MCP OAgents: An Empirical Study of Building Effective Agents

Reference 21

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no resolver link, observed 2026-07-14T07:06:37.817238Z

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source=arxiv_source observed=2026-07-14T07:06:37.817238Z digest=sha256:662d9460ee9512866d022bd2886f06f5aadfcbc7cde86c6143502829a5b774f8

Observation 9094bdf8-1db1-4264-8932-e7b57c3c1a40 · inbound

AgentCheck: A Reproduce-Intervene-Mitigate Workbench for LLM Agents over MCP cites this paper.

AgentCheck: A Reproduce-Intervene-Mitigate Workbench for LLM Agents over MCP OAgents: An Empirical Study of Building Effective Agents

Reference 21

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no resolver link, observed 2026-08-02T07:04:24.379776Z

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source=arxiv_source observed=2026-08-02T07:04:24.379776Z digest=sha256:97b886c94e07d82ba556b2a943892ebb9ead8e39e33c1d12e5ace558b986b355