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Paper Citation Record · LEDGER

NVIDIA-labs OO Agents: Native Python Object-Oriented Agents

As of 19 August 2026, this Paper Citation Record lists 59 of 59 outbound references and 1 inbound Pith citation observation for arXiv:2607.20709.

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

pith.paper-citation-record.v1
2607.20709 v1

Coverage vector

measured 59 of 59 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-01T09:39:47.354021Z

measured 60 of 60 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-31T12:16:33.799452Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

59 of 59 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved58
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation da54a784-976d-4a12-a3eb-3075374af9fc · outbound

This paper cites Agrawal, Shangyin Tan, Dilara Soylu, et al.

NVIDIA-labs OO Agents: Native Python Object-Oriented Agents Agrawal, Shangyin Tan, Dilara Soylu, et al

Reference 1

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no resolver link, observed 2026-08-01T09:39:38.701837Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T09:39:38.701837Z digest=sha256:1ce592e35a2901c92a1564bf58c3e064c971623218ee94a8f2e6d6228e9f2cc2

Observation 9fe2a116-f522-4a32-90c3-a81300d3d997 · outbound

This paper cites Letta: Stateful agents framework (formerly memgpt), 2024.

NVIDIA-labs OO Agents: Native Python Object-Oriented Agents Letta: Stateful agents framework (formerly memgpt), 2024

Reference 2

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T09:39:38.893038Z digest=sha256:6f87e8584afb081d5b3a759455884458475b379bb2496de9394bbb9f86f0bcf5

Observation b642f4b1-7930-4113-a98d-4a5300289815 · outbound

This paper cites Anderson, Daniel Bothell, Michael D.

NVIDIA-labs OO Agents: Native Python Object-Oriented Agents Anderson, Daniel Bothell, Michael D

Reference 3

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no resolver link, observed 2026-08-01T09:39:39.019593Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T09:39:39.019593Z digest=sha256:8681795ac96169d8b556d91391ea0564e512233dacb4be7381910a05190e3b73

Observation 61b316d8-4a3b-4252-8d59-2b64b2d02622 · outbound

This paper cites opencode.https://github.com/anomalyco/opencode, 2025.

NVIDIA-labs OO Agents: Native Python Object-Oriented Agents opencode.https://github.com/anomalyco/opencode, 2025

Reference 4

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T09:39:39.255453Z digest=sha256:b879868087d472297bae06d8ec3aec677f0fbf4a58161d22d62ccf2b2e33dde4

Observation 713c75cd-becd-4f43-bd2c-9f812da73fea · outbound

This paper cites Building effective agents, 2024.

NVIDIA-labs OO Agents: Native Python Object-Oriented Agents Building effective agents, 2024

Reference 5

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T09:39:39.438273Z digest=sha256:02d05e7c4da3f0f171ae6e21c4570141038bf5983fad9849972c0a4482f7199e

Observation c7cc8605-31f6-4899-bec0-2fc2162749ad · outbound

This paper cites Introducing advanced tool use on the claude developer platform, 2025.

NVIDIA-labs OO Agents: Native Python Object-Oriented Agents Introducing advanced tool use on the claude developer platform, 2025

Reference 6

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no resolver link, observed 2026-08-01T09:39:39.611742Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T09:39:39.611742Z digest=sha256:0231f47afa02956cb713f60f41cd35b711dc6448507a35d018461ff85525e604

Observation 8a2fb255-51cb-429e-811f-d40e02841353 · outbound

This paper cites Equipping agents for the real world with agent skills, 2025.

NVIDIA-labs OO Agents: Native Python Object-Oriented Agents Equipping agents for the real world with agent skills, 2025

Reference 7

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no resolver link, observed 2026-08-01T09:39:39.735742Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T09:39:39.735742Z digest=sha256:d67800688d783a0c2971f19206390dff6f570179603031251da37d4016017b56

Observation 76c812e1-ebb1-4af6-86e1-e9267a12a0b3 · outbound

This paper cites Effective harnesses for long-running agents, 2025.

NVIDIA-labs OO Agents: Native Python Object-Oriented Agents Effective harnesses for long-running agents, 2025

Reference 8

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no resolver link, observed 2026-08-01T09:39:39.826028Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T09:39:39.826028Z digest=sha256:11b67bd5558957e306a14e8888bde4046c3a9f56c02521d1c47c11d32a5c9b02

Observation 4b5af8aa-78ec-44b7-99ce-11e5a93288a0 · outbound

This paper cites How we built our multi-agent research system, 2025.

NVIDIA-labs OO Agents: Native Python Object-Oriented Agents How we built our multi-agent research system, 2025

Reference 9

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T09:39:39.970518Z digest=sha256:2df084958aa47de131ca96258ff61e373dc6dddf92063e078f32c88cf5496f96

Observation dd191205-5dd7-4878-bd0f-9bf61eeed112 · outbound

This paper cites Introducing dynamic workflows in claude code, 2026.

NVIDIA-labs OO Agents: Native Python Object-Oriented Agents Introducing dynamic workflows in claude code, 2026

Reference 10

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no resolver link, observed 2026-08-01T09:39:40.114559Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T09:39:40.114559Z digest=sha256:69ac81f5cdd5e3074e974f4d697c2d18a466ac5b3672b231cc9703708e28c6e4

Observation dbeb51c4-a733-4543-af96-51978b78e970 · outbound

This paper cites Manage claude’s memory: CLAUDE.md and auto memory, 2026.

NVIDIA-labs OO Agents: Native Python Object-Oriented Agents Manage claude’s memory: CLAUDE.md and auto memory, 2026

Reference 11

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no resolver link, observed 2026-08-01T09:39:40.218255Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T09:39:40.218255Z digest=sha256:92d9408b8e88d5c1f88306c9fa4c5d2e3c2cb61cf68c1be29d2a0174b0ebd8ef

Observation 75584a95-5dd2-4a73-9e62-90ced65b93b6 · outbound

This paper cites Cursor rules and memories, 2025.

NVIDIA-labs OO Agents: Native Python Object-Oriented Agents Cursor rules and memories, 2025

Reference 12

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T09:39:40.340245Z digest=sha256:92a30d1c66d13b5714f3f49c90ea4cae8255008c0a1b9ea766c509e66e369b45

Observation c5366948-ccdb-425e-8cde-6870515ff078 · outbound

This paper cites Prompting Is Programming: A Query Language for Large Language Models.

NVIDIA-labs OO Agents: Native Python Object-Oriented Agents Prompting Is Programming: A Query Language for Large Language Models

Reference 13

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T09:39:40.508659Z digest=sha256:25a3e8f17d046c5965dd306c96599ea88da0836d65e7ba8a07189ba1d37fef90

Observation bf27721a-8c93-4521-9b72-73370b70db9f · outbound

This paper cites Langchain, 2023.

NVIDIA-labs OO Agents: Native Python Object-Oriented Agents Langchain, 2023

Reference 14

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no resolver link, observed 2026-08-01T09:39:40.641258Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T09:39:40.641258Z digest=sha256:c7b9f3054e817bd182b2a2656888b2b27c7470fd7d10c4f55f64b10622c8bb39

Observation 0f53ea20-0366-4aff-9166-b393e9008d43 · outbound

This paper cites Program of Thoughts Prompting: Disentangling Computation from Reasoning for Numerical Reasoning Tasks.

NVIDIA-labs OO Agents: Native Python Object-Oriented Agents Program of Thoughts Prompting: Disentangling Computation from Reasoning for Numerical Reasoning Tasks

Reference 15

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source=pdf_text observed=2026-08-01T09:39:40.782637Z digest=sha256:55a121617186fb9cce006890b9cca3c91ddb967146a41a4180f51c47efa11fd9

Observation 1c6a6e02-28d4-4f17-8d54-51e98ccc2dd5 · outbound

This paper cites Cheng, Logan Weber, Tian Jin, and Michael Carbin.

NVIDIA-labs OO Agents: Native Python Object-Oriented Agents Cheng, Logan Weber, Tian Jin, and Michael Carbin

Reference 16

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no resolver link, observed 2026-08-01T09:39:40.922943Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T09:39:40.922943Z digest=sha256:d66015798a0590e8506856500b5c6ceeec325f7465708fe17fbdd71160e86038

Observation 3d28f26b-8dde-496c-a1e0-9a55958c8d72 · outbound

This paper cites CrewAI memory documentation, 2024.

NVIDIA-labs OO Agents: Native Python Object-Oriented Agents CrewAI memory documentation, 2024

Reference 17

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no resolver link, observed 2026-08-01T09:39:41.041588Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T09:39:41.041588Z digest=sha256:6fd654730b4a042e5fe7036923b3e85000d39496d6b27270931883265e459d54

Observation 6f39dd60-0fdb-41da-87d9-d913fb710fde · outbound

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

NVIDIA-labs OO Agents: Native Python Object-Oriented Agents DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 18

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source=pdf_text observed=2026-08-01T09:39:41.160157Z digest=sha256:a0ee19dbc6fcff43a2429a20b2a0fbfbecc3be868a976616f29de7b6d6647a5a

Observation d5857952-26a5-4575-a794-8ff82873baf5 · outbound

This paper cites Pi: Ai agent toolkit.https://github.com/earendil-works/pi, 2025.

NVIDIA-labs OO Agents: Native Python Object-Oriented Agents Pi: Ai agent toolkit.https://github.com/earendil-works/pi, 2025

Reference 19

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source=pdf_text observed=2026-08-01T09:39:41.350414Z digest=sha256:c2316145e24e5b5018e33670869f2d801414882af78bf05ae64586ef687c16f9

Observation 7f09e0b4-368d-4da2-92a8-5b3d8ab587c8 · outbound

This paper cites ARC-AGI-3: Interactive reasoning benchmark, 2026.

NVIDIA-labs OO Agents: Native Python Object-Oriented Agents ARC-AGI-3: Interactive reasoning benchmark, 2026

Reference 20

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source=pdf_text observed=2026-08-01T09:39:41.443101Z digest=sha256:2c4bf0303169cc2c3b182a63835ffed5d74c0c0b629f84790bea93002a34ab54

Observation 1fd0185c-c1e5-4bdf-84f1-3fbfae556b37 · outbound

This paper cites PAL: Program-aided Language Models.

NVIDIA-labs OO Agents: Native Python Object-Oriented Agents PAL: Program-aided Language Models

Reference 21

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source=pdf_text observed=2026-08-01T09:39:41.547594Z digest=sha256:18b317cb74a3fabd585f9955be410c7483c97a453adb5e2fe6b18c0a9d6053d0

Observation 0bbb609a-5769-430d-b210-ca3062b89069 · outbound

This paper cites Agent development kit (adk), 2025.

NVIDIA-labs OO Agents: Native Python Object-Oriented Agents Agent development kit (adk), 2025

Reference 22

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source=pdf_text observed=2026-08-01T09:39:41.728094Z digest=sha256:b79cd9ece92d9285227fd4720878330eb7734d66e40ae2061e84ae1c7529a462

Observation fa13e63c-731d-499f-9bc2-7ab488c22f56 · outbound

This paper cites Gemini CLI: memory files and the save_memory tool, 2025.

NVIDIA-labs OO Agents: Native Python Object-Oriented Agents Gemini CLI: memory files and the save_memory tool, 2025

Reference 23

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source=pdf_text observed=2026-08-01T09:39:41.877176Z digest=sha256:31894c30fd3d44f692de704f3c796da3140d21942953effdb13fa6ad47753b58

Observation 6615499a-5a91-434c-9156-0d5e4eae0fd3 · outbound

This paper cites ANPL: Towards Natural Programming with Interactive Decomposition.

NVIDIA-labs OO Agents: Native Python Object-Oriented Agents ANPL: Towards Natural Programming with Interactive Decomposition

Reference 24

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source=pdf_text observed=2026-08-01T09:39:42.020428Z digest=sha256:a709d9982262247dcc767effafc9ac782a309c5abf99516829ad326f438d0925

Observation f364d8d9-5d31-4d3c-aaa9-2c72f10113d3 · outbound

This paper cites Jimenez, John Yang, Alexander Wettig, Shunyu Yao, Kexin Pei, Ofir Press, and Karthik R.

NVIDIA-labs OO Agents: Native Python Object-Oriented Agents Jimenez, John Yang, Alexander Wettig, Shunyu Yao, Kexin Pei, Ofir Press, and Karthik R

Reference 25

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source=pdf_text observed=2026-08-01T09:39:42.167645Z digest=sha256:9159cca5689dd8fc4bef90176adff2d44826ba2281a7f23a027490f84af39ad9

Observation c16c682e-105b-4e9c-95b5-6e58a8dd0eb0 · outbound

This paper cites Joshi, Hanna Moazam, et al.

NVIDIA-labs OO Agents: Native Python Object-Oriented Agents Joshi, Hanna Moazam, et al

Reference 26

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source=pdf_text observed=2026-08-01T09:39:42.316147Z digest=sha256:f6ab0f1c513e158dd584c1dccdda62550b5a08be821362f58612b8e0d6ae2e59

Observation e366f27e-5be5-4ff4-8a38-2522aa2b54ce · outbound

This paper cites Langgraph, 2024.

NVIDIA-labs OO Agents: Native Python Object-Oriented Agents Langgraph, 2024

Reference 27

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source=pdf_text observed=2026-08-01T09:39:42.503761Z digest=sha256:d7e56607e9a8ab0247ac0eda4e171889a93c2498f5017357b6c2d74f39228cf7

Observation d82ce017-5754-417b-b0d3-e96240193f48 · outbound

This paper cites LangMem SDK for agent long-term memory, 2025.

NVIDIA-labs OO Agents: Native Python Object-Oriented Agents LangMem SDK for agent long-term memory, 2025

Reference 28

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source=pdf_text observed=2026-08-01T09:39:42.681233Z digest=sha256:23bdf47639932527b42c7d9111ecd59f9bac75472ad3897b57507f10a8c03746

Observation 45a1aef4-e3fd-42fd-8dee-ace8883498f4 · outbound

This paper cites Chain of Code: Reasoning with a Language Model-Augmented Code Emulator.

NVIDIA-labs OO Agents: Native Python Object-Oriented Agents Chain of Code: Reasoning with a Language Model-Augmented Code Emulator

Reference 29

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source=pdf_text observed=2026-08-01T09:39:42.786956Z digest=sha256:1e0b851767d9803cfd06787faa6e167bbc3771327bafeaa52516d980b87d1221

Observation 8a5c2e66-591f-486c-b073-bb053642995c · outbound

This paper cites Instructor: Structured outputs for llms, 2023.

NVIDIA-labs OO Agents: Native Python Object-Oriented Agents Instructor: Structured outputs for llms, 2023

Reference 30

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no resolver link, observed 2026-08-01T09:39:42.901367Z

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source=pdf_text observed=2026-08-01T09:39:42.901367Z digest=sha256:114e6ff99b3050a217269209912263356418804296dc6ba4c1f5d545a53d9eef

Observation c2873935-30e2-4faf-ab3f-51d7a41e52cf · outbound

This paper cites Llamaindex, 2023.

NVIDIA-labs OO Agents: Native Python Object-Oriented Agents Llamaindex, 2023

Reference 31

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no resolver link, observed 2026-08-01T09:39:43.077929Z

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source=pdf_text observed=2026-08-01T09:39:43.077929Z digest=sha256:54cf20ddf22a47df2c645734da7792a444e04ec7770e128bd465283d42bc85bb

Observation 343bc396-0d60-42ae-bec1-74e2fc4f1f7e · outbound

This paper cites Recursive Agent Harnesses.

NVIDIA-labs OO Agents: Native Python Object-Oriented Agents Recursive Agent Harnesses

Reference 32

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source=pdf_text observed=2026-08-01T09:39:43.214014Z digest=sha256:debdbf8d13a90ebf8932d7e1e9cf9b96c2f66ae5df84414733afaacea97c0992

Observation 26229086-0df4-4220-bda5-4d318ccc19e4 · outbound

This paper cites Rich: Rich text and beautiful formatting in the terminal, 2026.

NVIDIA-labs OO Agents: Native Python Object-Oriented Agents Rich: Rich text and beautiful formatting in the terminal, 2026

Reference 33

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source=pdf_text observed=2026-08-01T09:39:43.341884Z digest=sha256:61d8c8ac93d45e5d4acbc46b795ba83ead011df353322d9f62fc8becb578063f

Observation bd0a93b7-79d5-4566-8f89-247e3b263c47 · outbound

This paper cites AutoGen’steachableagents, 2023.

NVIDIA-labs OO Agents: Native Python Object-Oriented Agents AutoGen’steachableagents, 2023

Reference 35

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source=pdf_text observed=2026-08-01T09:39:43.750034Z digest=sha256:8a25322a3e3626100d82dbe5abf5cf2c014b0e5bde51107b64d6ff367d70d780

Observation 63dda125-76ac-4082-83b5-400f1f4a6e0b · outbound

This paper cites Typechat, 2023.

NVIDIA-labs OO Agents: Native Python Object-Oriented Agents Typechat, 2023

Reference 36

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source=pdf_text observed=2026-08-01T09:39:43.938646Z digest=sha256:516716e259e5d35c4ebebea76438fb3211c176b92a096ef54403882055ea0e5c

Observation d09ed749-3941-402a-97dc-ec083c3fe98d · outbound

This paper cites Microsoft agent framework, 2025.

NVIDIA-labs OO Agents: Native Python Object-Oriented Agents Microsoft agent framework, 2025

Reference 37

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source=pdf_text observed=2026-08-01T09:39:44.080598Z digest=sha256:ede928a6c3ebee8328c37773802257081f9c8b7a6fde0c134f635d42ef860430

Observation 74e1ef1f-03f6-4154-b47a-d403ba75bfd1 · outbound

This paper cites Openshell: a safe, private runtime for autonomous ai agents, 2026.

NVIDIA-labs OO Agents: Native Python Object-Oriented Agents Openshell: a safe, private runtime for autonomous ai agents, 2026

Reference 39

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source=pdf_text observed=2026-08-01T09:39:44.518533Z digest=sha256:682d472d8d4e2d9fe3c911aa3a01b9c71f54431ad41304ef23eca0421bde541a

Observation f8255ade-c7e8-4042-96ac-c279b2e3a067 · outbound

This paper cites AskIt: Unified Programming Interface for Programming with Large Language Models.

NVIDIA-labs OO Agents: Native Python Object-Oriented Agents AskIt: Unified Programming Interface for Programming with Large Language Models

Reference 40

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source=pdf_text observed=2026-08-01T09:39:44.712046Z digest=sha256:a211a8b80cd673d1c4202caf2f1c753adcb187fa7eae6a84a9c515e947a52348

Observation 01f1e563-e73e-492b-8520-ea0ee5174c6f · outbound

This paper cites Code as Agent Harness.

NVIDIA-labs OO Agents: Native Python Object-Oriented Agents Code as Agent Harness

Reference 41

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source=pdf_text observed=2026-08-01T09:39:44.391575Z digest=sha256:233268865a5cd577c03eee2e85d75c895e0dbab3fa7b34dce9217a8935e43885

Observation 2912c468-a9b3-4571-a35e-05e4122db0b7 · outbound

This paper cites Codex memories and custom instructions with AGENTS.md, 2026.

NVIDIA-labs OO Agents: Native Python Object-Oriented Agents Codex memories and custom instructions with AGENTS.md, 2026

Reference 42

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source=pdf_text observed=2026-08-01T09:39:45.017044Z digest=sha256:95dbdd9eca1f7dba5a166abbb2e4b163584c99bd9768dcd7ea8701a0b2357639

Observation d3682bf6-eb52-4cd4-b549-5b1d2a72ca5e · outbound

This paper cites MemGPT: Towards LLMs as Operating Systems.

NVIDIA-labs OO Agents: Native Python Object-Oriented Agents MemGPT: Towards LLMs as Operating Systems

Reference 43

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source=pdf_text observed=2026-08-01T09:39:45.116675Z digest=sha256:a2dd49e7ce13da9dd5f76dc9a322f552175bf4fd596f098cb861969a1b6246c5

Observation 0310fcd8-c896-47a0-bfdc-11ca757be77b · outbound

This paper cites Function calling – openai api documentation, 2024.

NVIDIA-labs OO Agents: Native Python Object-Oriented Agents Function calling – openai api documentation, 2024

Reference 44

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source=pdf_text observed=2026-08-01T09:39:44.901449Z digest=sha256:467dd98ccf8310475f7b7c88cd7de4135d655d67e2835276625ab79687b153df

Observation bcb763f1-5e47-434a-babc-48a9fe43000c · outbound

This paper cites PyTorch: An Imperative Style, High-Performance Deep Learning Library.

NVIDIA-labs OO Agents: Native Python Object-Oriented Agents PyTorch: An Imperative Style, High-Performance Deep Learning Library

Reference 45

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source=pdf_text observed=2026-08-01T09:39:45.372203Z digest=sha256:f9fa42b547fbadc7e4b57dd1d9c1ac6a52198d3bcc1d49c946104b39a2268e96

Observation 432eaf9b-cd3c-4ce7-b44d-f560abe28a63 · outbound

This paper cites Pydanticai: Agent framework with type-safe structured outputs, 2024.

NVIDIA-labs OO Agents: Native Python Object-Oriented Agents Pydanticai: Agent framework with type-safe structured outputs, 2024

Reference 46

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source=pdf_text observed=2026-08-01T09:39:45.518022Z digest=sha256:fc3d324824e52cf5df8bf49508b5bec7205be28d840a0777268fd3b929492427

Observation 0b6f7fdd-ca03-47ba-b681-12c26a6daa36 · outbound

This paper cites Generative Agents: Interactive Simulacra of Human Behavior.

NVIDIA-labs OO Agents: Native Python Object-Oriented Agents Generative Agents: Interactive Simulacra of Human Behavior

Reference 47

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source=pdf_text observed=2026-08-01T09:39:45.233178Z digest=sha256:4269a42b4e8be7435bb7d5854a0d1f2426c6f01b675724073b47971152f1fd1b

Observation 6bd6158f-eb58-4582-80c8-ebd10be707a3 · outbound

This paper cites smolagents: A barebones library for agents that think in code, 2024.

NVIDIA-labs OO Agents: Native Python Object-Oriented Agents smolagents: A barebones library for agents that think in code, 2024

Reference 48

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source=pdf_text observed=2026-08-01T09:39:45.814602Z digest=sha256:7732c7da2a3c7b86740f311f9632c88bccec03c86203ea2a201ff7373db7512f

Observation 8af171e6-247a-4db9-b1fd-3e35b521d615 · outbound

This paper cites Workspace Optimization: How to Train Your Agent.

NVIDIA-labs OO Agents: Native Python Object-Oriented Agents Workspace Optimization: How to Train Your Agent

Reference 49

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source=pdf_text observed=2026-08-01T09:39:45.987272Z digest=sha256:b171186b035f9d2b28ba78fd620c8acfae9996919cd249c6749fd84ffe51cbee

Observation dfce726e-6086-434f-8c69-e302b53fba3f · outbound

This paper cites TaskWeaver: A Code-First Agent Framework.

NVIDIA-labs OO Agents: Native Python Object-Oriented Agents TaskWeaver: A Code-First Agent Framework

Reference 50

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source=pdf_text observed=2026-08-01T09:39:45.680861Z digest=sha256:70f0744381ae1186a4280c675545153c6335dd30a6572b106c19beecfe2856c0

Observation 60bc05fc-4d9d-4f77-9474-ddeab187594d · outbound

This paper cites Voyager: An Open-Ended Embodied Agent with Large Language Models.

NVIDIA-labs OO Agents: Native Python Object-Oriented Agents Voyager: An Open-Ended Embodied Agent with Large Language Models

Reference 51

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source=pdf_text observed=2026-08-01T09:39:46.281082Z digest=sha256:d7947582ead772d9a5dcc81f1edff9bdb476ca67b3c41db9dea5f72c6b51a9e2

Observation 2a524b6e-5acf-4ce5-9ecf-1465bc886023 · outbound

This paper cites Executable Code Actions Elicit Better LLM Agents.

NVIDIA-labs OO Agents: Native Python Object-Oriented Agents Executable Code Actions Elicit Better LLM Agents

Reference 52

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source=pdf_text observed=2026-08-01T09:39:46.444631Z digest=sha256:5992042703d85c086e0248ef3ce7ef7f6efe188c804bf2820b5920959204e0dd

Observation 12774987-56d9-49a8-84eb-6a188dccb68e · outbound

This paper cites Reflexion: Language agents with verbal reinforcement learning.

NVIDIA-labs OO Agents: Native Python Object-Oriented Agents Reflexion: Language agents with verbal reinforcement learning

Reference 53

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source=pdf_text observed=2026-08-01T09:39:46.167476Z digest=sha256:865d83a1b01fe2975cc681f014210cbd3444dcc371e3dd1f3ffd77bfdb8ae0bb

Observation d46ad273-db1b-48bb-8c2c-87e9fa9e6735 · outbound

This paper cites Cybergym: Evaluating AI agents’ real-world cybersecurity capabilities at scale.

NVIDIA-labs OO Agents: Native Python Object-Oriented Agents Cybergym: Evaluating AI agents’ real-world cybersecurity capabilities at scale

Reference 54

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Observation 772351d7-5fd7-4dfa-be71-2a287edf5797 · outbound

This paper cites Efficient Guided Generation for Large Language Models.

NVIDIA-labs OO Agents: Native Python Object-Oriented Agents Efficient Guided Generation for Large Language Models

Reference 55

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source=pdf_text observed=2026-08-01T09:39:46.911491Z digest=sha256:7dc4e6a6acaeca0796f4dae82b9dc14561fd364b985dd34828ec38a2a00e5194

Observation eac139a8-551e-4b43-8453-cc90b2a15a0e · outbound

This paper cites OpenHands: An Open Platform for AI Software Developers as Generalist Agents.

NVIDIA-labs OO Agents: Native Python Object-Oriented Agents OpenHands: An Open Platform for AI Software Developers as Generalist Agents

Reference 56

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source=pdf_text observed=2026-08-01T09:39:46.563925Z digest=sha256:a7743dd5320bb64d2556762a4685e9f94b3fdc589b269fc48a464118256eed02

Observation a4516fe1-ac57-40a9-b0f3-28a5d4c6ab8a · outbound

This paper cites SWE-agent: Agent-Computer Interfaces Enable Automated Software Engineering.

NVIDIA-labs OO Agents: Native Python Object-Oriented Agents SWE-agent: Agent-Computer Interfaces Enable Automated Software Engineering

Reference 57

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source=pdf_text observed=2026-08-01T09:39:47.213515Z digest=sha256:7dd8781e8821bd9a8e551ba8ac3193221b1c99f67064f55b13fe1bda05923ccf

Observation 1d1f7351-54a6-4298-981e-053ed1d3265a · outbound

This paper cites Recursive Language Models.

NVIDIA-labs OO Agents: Native Python Object-Oriented Agents Recursive Language Models

Reference 58

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source=pdf_text observed=2026-08-01T09:39:47.354021Z digest=sha256:700f6fc4fce59944d042da5b28ee86a4d2f65e602cb61135aee0f7d1842a0556

Observation e0c80203-ef61-48e4-92ad-e1b312b5e384 · outbound

This paper cites Memory-R1: Enhancing Large Language Model Agents to Manage and Utilize Memories via Reinforcement Learning.

NVIDIA-labs OO Agents: Native Python Object-Oriented Agents Memory-R1: Enhancing Large Language Model Agents to Manage and Utilize Memories via Reinforcement Learning

Reference 59

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source=pdf_text observed=2026-08-01T09:39:47.056929Z digest=sha256:4fbea0039b27d562ce8964f6c96801eea83134a3113e6775ac7fea9de1a9df98

Observation 03e4e091-81a2-45f8-b889-446152c52306 · outbound

This paper cites an unresolved cited work.

NVIDIA-labs OO Agents: Native Python Object-Oriented Agents Unresolved cited work

Reference 2004

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source=pdf_text observed=2026-08-01T09:39:39.134616Z digest=sha256:3e8ef91f07c89668fb60e87866f37561faec6c86fd0770a517972c86a4ce1b98

Observation c31756ae-999b-46be-97d3-5c2a7012d44e · outbound

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

NVIDIA-labs OO Agents: Native Python Object-Oriented Agents Terminal-Bench: Benchmarking Agents on Hard, Realistic Tasks in Command Line Interfaces

Reference 2026

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source=pdf_text observed=2026-08-01T09:39:43.606057Z digest=sha256:59cc19b18cf9971b33f97376f46e14c2ac0ad4c2a0df658557f215597ed4a277

Pith citing papers

Observation 667fa9e9-2e23-4458-930d-779ba65a5e0d · inbound

Tycho: Active Abstraction with Programmatic World Models for ARC-AGI-3 cites this paper.

Tycho: Active Abstraction with Programmatic World Models for ARC-AGI-3 NVIDIA-labs OO Agents: Native Python Object-Oriented Agents

Reference 87

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source=arxiv_source observed=2026-07-31T12:16:33.799452Z digest=sha256:69bc2d950e19f6b0384990874e0c67dac03ff788dc4aeb5f64d953cbd4a45d57