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Paper Citation Record · LEDGER

Recursive Synthesis for Long-Horizon Terminal Tasks

As of 9 August 2026, this Paper Citation Record lists 65 of 65 outbound references and 0 inbound Pith citation observations for arXiv:2608.05466.

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

pith.paper-citation-record.v1
2608.05466 v1

Coverage vector

measured 65 of 65 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-08T12:35:01.615574Z

measured 65 of 65 standing notices

One-hop event checks from named stored sources.

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

measured 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

65 of 65 outbound references displayed

  • verified exact1
  • verified fuzzy8
  • unresolved55
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 4751f222-a25a-4775-b46b-4ee03e3588fc · outbound

This paper cites Self-Play Fine-Tuning Converts Weak Language Models to Strong Language Models.

Recursive Synthesis for Long-Horizon Terminal Tasks Self-Play Fine-Tuning Converts Weak Language Models to Strong Language Models

Reference 1

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source=pdf_text observed=2026-08-08T12:35:01.302551Z digest=sha256:8935c9d6d9fe79b5c6c9f832c62bfa1d5d1813ef3266528ec58dbe0682dceba1

Observation a15515dc-8c1d-4801-8211-13d99d0058d8 · outbound

This paper cites From language to action: a review of large language models as autonomous agents and tool users.Artificial Intelligence Review, 59(2):71, 2026.

Recursive Synthesis for Long-Horizon Terminal Tasks From language to action: a review of large language models as autonomous agents and tool users.Artificial Intelligence Review, 59(2):71, 2026

Reference 2

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raw_fallback, observed 2026-08-08T12:35:03.477520Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-08T12:35:01.308995Z digest=sha256:c864a86c0c37e308cb03ce83ee1fcdcd2e7940dd36ae34bf49bc209668bc9ddb

Observation 1f10b2bb-9552-4332-8ac2-e153443340b3 · outbound

This paper cites TerminalWorld: Benchmarking Agents on Real-World Terminal Tasks.

Recursive Synthesis for Long-Horizon Terminal Tasks TerminalWorld: Benchmarking Agents on Real-World Terminal Tasks

Reference 3

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source=pdf_text observed=2026-08-08T12:35:01.313844Z digest=sha256:fee318b653d510e7b0c438ec21686b4c1a5b57e7fd5afc317bd499fb3b750167

Observation 69728056-387a-4e4b-ac2a-689ae3c85b8b · outbound

This paper cites Deepseek-v4: Towards highly efficient million-token context intelligence, 2026.

Recursive Synthesis for Long-Horizon Terminal Tasks Deepseek-v4: Towards highly efficient million-token context intelligence, 2026

Reference 4

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source=pdf_text observed=2026-08-08T12:35:01.319160Z digest=sha256:bafd43a0f79560b7b429135c191afe04d86af83a7e28ade0c86ffeb276f79756

Observation 329d895a-373f-43b2-bc37-e951ac911eee · outbound

This paper cites SWE-Marathon: Can Agents Autonomously Complete Ultra-Long-Horizon Software Work?.

Recursive Synthesis for Long-Horizon Terminal Tasks SWE-Marathon: Can Agents Autonomously Complete Ultra-Long-Horizon Software Work?

Reference 5

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source=pdf_text observed=2026-08-08T12:35:01.324108Z digest=sha256:c07f17c8e01bda2cf1ffcab2db9e447140ba9063016a23f97835d0a4e986f3bb

Observation cca10a6e-b833-4eab-afb1-e89759fd8640 · outbound

This paper cites A survey on the optimization of large language model-based agents.ACM Computing Surveys, 58(9):1–37, 2026.

Recursive Synthesis for Long-Horizon Terminal Tasks A survey on the optimization of large language model-based agents.ACM Computing Surveys, 58(9):1–37, 2026

Reference 6

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raw_fallback, observed 2026-08-08T12:35:03.448752Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-08T12:35:01.334134Z digest=sha256:6867929a0e9ce298fab9828c15d57ad84050d654abe830b2a6c3fe00abc6c38e

Observation 884f2c83-9d4e-42a0-88c4-4096f87d5cca · outbound

This paper cites Webevolver: Enhancing web agent self-improvement with coevolving world model, 2025.

Recursive Synthesis for Long-Horizon Terminal Tasks Webevolver: Enhancing web agent self-improvement with coevolving world model, 2025

Reference 7

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source=pdf_text observed=2026-08-08T12:35:01.338853Z digest=sha256:44d205860032fdfcb38c519ba42690772188c781d96fc45a0d110e9874a93167

Observation f9a59c73-280f-4920-b034-b8f13c837c20 · outbound

This paper cites Self-Verification Provably Prevents Model Collapse in Recursive Synthetic Training.

Recursive Synthesis for Long-Horizon Terminal Tasks Self-Verification Provably Prevents Model Collapse in Recursive Synthetic Training

Reference 8

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Source-reported events for the cited work

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

source=pdf_text observed=2026-08-08T12:35:01.344029Z digest=sha256:d8fbc3a4cd9351e3c9e186aaec863b89c72ecf76d1689a1c4b5b339406c24349

Observation d14b23df-9113-4bde-b778-ec6e21c9a1a5 · outbound

This paper cites Goodman, and Dimitris Papailiopoulos.

Recursive Synthesis for Long-Horizon Terminal Tasks Goodman, and Dimitris Papailiopoulos

Reference 9

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source=pdf_text observed=2026-08-08T12:35:01.348930Z digest=sha256:6201a73441cc9dce55c7a4367ecb6649741a31b9301696f49475b31e405394af

Observation 1955cd5c-6f20-423d-b1c3-8a0ef0f599f9 · outbound

This paper cites Fung, Kun Wang, Linfeng Zhang, and Jing Shao.

Recursive Synthesis for Long-Horizon Terminal Tasks Fung, Kun Wang, Linfeng Zhang, and Jing Shao

Reference 10

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source=pdf_text observed=2026-08-08T12:35:01.353745Z digest=sha256:9acc4a40292431e3e2ab3b53edfb75f2b368b970a289d0ff6f1bdcec1ccaec3f

Observation 8d8e5b0c-886c-478a-893e-65510f9a7e02 · outbound

This paper cites Harbor: A framework for evaluating and optimizing agents and models in container environments, 2026.

Recursive Synthesis for Long-Horizon Terminal Tasks Harbor: A framework for evaluating and optimizing agents and models in container environments, 2026

Reference 11

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source=pdf_text observed=2026-08-08T12:35:01.358317Z digest=sha256:977c3562ce8aabc8be33165a3e330155f9ca68f2e3fe75693f83294323a20a76

Observation 9db325c0-eb7f-493b-9c51-cc4702847e13 · outbound

This paper cites Visplay: Self-evolving vision- language models from images.arXiv preprint arXiv:2511.15661, 2025.

Recursive Synthesis for Long-Horizon Terminal Tasks Visplay: Self-evolving vision- language models from images.arXiv preprint arXiv:2511.15661, 2025

Reference 12

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source=pdf_text observed=2026-08-08T12:35:01.363192Z digest=sha256:81c1b4a73737c8624af3f820c40e832896f63dee8f6c4d8df6756277364473c6

Observation 4aec1f12-e28b-4ee8-bbee-b2ee62967581 · outbound

This paper cites V-STaR: Training Verifiers for Self-Taught Reasoners.

Recursive Synthesis for Long-Horizon Terminal Tasks V-STaR: Training Verifiers for Self-Taught Reasoners

Reference 13

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source=pdf_text observed=2026-08-08T12:35:01.368031Z digest=sha256:9cd45e55cd35f7cd4ae1ca2031ae1b35e6813ff986531a888c18ad1aa9c16bc8

Observation f74f5342-4b66-46b2-b99f-d67ac79e12a3 · outbound

This paper cites CLI-Universe: Towards Verifiable Task Synthesis Engine for Terminal Agents.

Recursive Synthesis for Long-Horizon Terminal Tasks CLI-Universe: Towards Verifiable Task Synthesis Engine for Terminal Agents

Reference 14

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source=pdf_text observed=2026-08-08T12:35:01.373257Z digest=sha256:0a5ca8dec43139da9695932d2e06dd7f3b4d29ef1fbc55d913c05ae28a519c9a

Observation af4ea242-212d-44d3-9029-a59d4d8b53e5 · outbound

This paper cites R-Zero: Self-Evolving Reasoning LLM from Zero Data.

Recursive Synthesis for Long-Horizon Terminal Tasks R-Zero: Self-Evolving Reasoning LLM from Zero Data

Reference 15

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source=pdf_text observed=2026-08-08T12:35:01.378303Z digest=sha256:5e69452a1711a8a91b50db0177cc0b38060ab61e44cc5d29202e78d19ffed4b6

Observation aa3a79ee-4f6f-4370-a4d9-5e8d187c5a6b · outbound

This paper cites Tmax: A simple recipe for terminal agents.

Recursive Synthesis for Long-Horizon Terminal Tasks Tmax: A simple recipe for terminal agents

Reference 16

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source=pdf_text observed=2026-08-08T12:35:01.383123Z digest=sha256:bc3ed0190bc4e96958975421bbedc495c2a653d523a074589d1bda74bcad1f44

Observation 23b7dc0e-0a83-43ea-bd7f-8a97e0d40442 · outbound

This paper cites Swe-bench: Can language models resolve real-world github issues? In B.

Recursive Synthesis for Long-Horizon Terminal Tasks Swe-bench: Can language models resolve real-world github issues? In B

Reference 17

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raw_fallback, observed 2026-08-08T12:35:03.409195Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-08T12:35:01.388157Z digest=sha256:2a42622ce66a6b370bd70c0dcd7e81c0f02b402fbbf23ae72bc24ac245035ae6

Observation fdbb748b-6bad-4e35-833c-65bb425646de · outbound

This paper cites Measuring AI Ability to Complete Long Software Tasks.

Recursive Synthesis for Long-Horizon Terminal Tasks Measuring AI Ability to Complete Long Software Tasks

Reference 18

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source=pdf_text observed=2026-08-08T12:35:01.393285Z digest=sha256:6e60cb4d51821ad741c19a8090d8bf43c6ea536a3aa8f8e5d6002185c7de20ba

Observation 070ea0a5-1f76-4730-a143-e1040b2e3955 · outbound

This paper cites Self-Rewarding Vision-Language Model via Reasoning Decomposition.

Recursive Synthesis for Long-Horizon Terminal Tasks Self-Rewarding Vision-Language Model via Reasoning Decomposition

Reference 19

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source=pdf_text observed=2026-08-08T12:35:01.398285Z digest=sha256:985ec68d7364ca230b13ad96c20e7d1ab52fb32d115c12e45309b8c2f50aeef1

Observation b1a70485-2250-434e-9bf7-99f0fa4a63ad · outbound

This paper cites Mm-zero: Self-evolving multi-model vision language models from zero data.

Recursive Synthesis for Long-Horizon Terminal Tasks Mm-zero: Self-evolving multi-model vision language models from zero data

Reference 20

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source=pdf_text observed=2026-08-08T12:35:01.403381Z digest=sha256:ab57250278941d56d2f5e05bdbb52e194753f7888b89d8bcae8f56fef4b16ce4

Observation f1b89008-24a9-40b4-bcdf-70106faf04c8 · outbound

This paper cites Long-Horizon-Terminal-Bench: Testing the Limits of Agents on Long-Horizon Terminal Tasks with Dense Reward-Based Grading.

Recursive Synthesis for Long-Horizon Terminal Tasks Long-Horizon-Terminal-Bench: Testing the Limits of Agents on Long-Horizon Terminal Tasks with Dense Reward-Based Grading

Reference 21

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source=pdf_text observed=2026-08-08T12:35:01.407591Z digest=sha256:bf857599b4ea55ca764c876c3d7cf401ee1d27b07538e70b4a98c07f0d25d3e4

Observation 93372bca-a708-461a-baa1-fee350f67689 · outbound

This paper cites Agentbench: Evaluating llms as agents,.

Recursive Synthesis for Long-Horizon Terminal Tasks Agentbench: Evaluating llms as agents,

Reference 22

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Source-reported events for the cited work

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

source=pdf_text observed=2026-08-08T12:35:01.412016Z digest=sha256:668a11a22fc7d6dfae9b8657e347a5ff6bbe7838b4a55ba63a4c641431885fd7

Observation e3dca9b8-f0a3-480e-b867-c2049c20edd0 · outbound

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

Recursive Synthesis for Long-Horizon Terminal Tasks Terminal-Bench: Benchmarking Agents on Hard, Realistic Tasks in Command Line Interfaces

Reference 23

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source=pdf_text observed=2026-08-08T12:35:01.420886Z digest=sha256:43d1ac73d549d370d3f46e23412309b8d658a94ae84e164077c5557c4034e017

Observation 3a062bd9-f771-4714-abd8-d610024726b7 · outbound

This paper cites GAIA: a benchmark for General AI Assistants.

Recursive Synthesis for Long-Horizon Terminal Tasks GAIA: a benchmark for General AI Assistants

Reference 24

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source=pdf_text observed=2026-08-08T12:35:01.425569Z digest=sha256:ac6e0a395714f8401f24fab664f7b6abc9f159a9fa854b41a2ff32233e4d0900

Observation 81f022bb-9ae9-45ea-860f-4044c6fe7478 · outbound

This paper cites Training Software Engineering Agents and Verifiers with SWE-Gym.

Recursive Synthesis for Long-Horizon Terminal Tasks Training Software Engineering Agents and Verifiers with SWE-Gym

Reference 25

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source=pdf_text observed=2026-08-08T12:35:01.430355Z digest=sha256:06667beafa2b616aa10546b5dce26b6da2c0207312dc2e121d09c734592c0a4c

Observation 9bcd7778-c3ac-4d83-8b5f-e5b63395d5ea · outbound

This paper cites LiteCoder-Terminal: Scaling Long-Horizon Terminal Environments for Learning Language Agents.

Recursive Synthesis for Long-Horizon Terminal Tasks LiteCoder-Terminal: Scaling Long-Horizon Terminal Environments for Learning Language Agents

Reference 26

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verified exact
local_arxiv, observed 2026-08-08T12:35:02.595199Z

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

source=pdf_text observed=2026-08-08T12:35:01.435238Z digest=sha256:68c589471f91061dc045917d5eaff387f403d0ec4286d010a04fe6238d206f63

Observation 26531a17-9801-4f31-95a4-df28cdd8236a · outbound

This paper cites On data engineering for scaling llm terminal capabilities, 2026.

Recursive Synthesis for Long-Horizon Terminal Tasks On data engineering for scaling llm terminal capabilities, 2026

Reference 27

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source=pdf_text observed=2026-08-08T12:35:01.440348Z digest=sha256:031d84c1266eb29e8169727bf7dd139f43950429a592983fa535343f39d6e1c0

Observation 818058ae-800e-4e9e-b1d8-8a1fc22eb194 · outbound

This paper cites Self-Consistency Preference Optimization.

Recursive Synthesis for Long-Horizon Terminal Tasks Self-Consistency Preference Optimization

Reference 28

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source=pdf_text observed=2026-08-08T12:35:01.444948Z digest=sha256:ad6bd5e04d2359909d8f4dfcafd351b5f87008b146fce9ab985af43e94916972

Observation f7e921a1-b99a-40a7-9c36-ba29a007f1c0 · outbound

This paper cites OpenThoughts-Agent: Data Recipes for Agentic Models.

Recursive Synthesis for Long-Horizon Terminal Tasks OpenThoughts-Agent: Data Recipes for Agentic Models

Reference 29

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metadata mismatch
local_arxiv, observed 2026-08-08T12:35:02.471780Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-08T12:35:01.449971Z digest=sha256:dc8c6dc860c6a9817a37ca5cf92f785143983cc48d8c9f6553c9a6bed7aa661d

Observation 7b06f98d-147b-4eea-9a8e-a5f2c6131680 · outbound

This paper cites SETA: Scaling Environments for Terminal Agents.

Recursive Synthesis for Long-Horizon Terminal Tasks SETA: Scaling Environments for Terminal Agents

Reference 30

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source=pdf_text observed=2026-08-08T12:35:01.454584Z digest=sha256:d2852f6c7832015d82f5f861d07e9e00b1f03d5bb03b619e56febcb0fbff831c

Observation c2689870-d8ac-4522-a585-d2f1e16e5a9b · outbound

This paper cites Beyond Human Data: Scaling Self-Training for Problem-Solving with Language Models.

Recursive Synthesis for Long-Horizon Terminal Tasks Beyond Human Data: Scaling Self-Training for Problem-Solving with Language Models

Reference 31

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source=pdf_text observed=2026-08-08T12:35:01.459919Z digest=sha256:31431fe3701275e1b28f602e1d1d55588f56390dc5d5876ba4f956251f0dff74

Observation dd7ade03-c98e-42fe-b544-e3b639fd4214 · outbound

This paper cites EnvScaler: Scaling Tool-Interactive Environments for LLM Agent via Programmatic Synthesis.

Recursive Synthesis for Long-Horizon Terminal Tasks EnvScaler: Scaling Tool-Interactive Environments for LLM Agent via Programmatic Synthesis

Reference 32

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source=pdf_text observed=2026-08-08T12:35:01.465550Z digest=sha256:24c955cf2e400e7125b80c69e456a4bbaea4cba0cd1dce29dcd227e9aa1262b2

Observation 391e5d70-936a-475f-8192-a738308d438b · outbound

This paper cites Scaleenv: Scaling environment synthesis from scratch for generalist interactive tool-use agent training, 2026.

Recursive Synthesis for Long-Horizon Terminal Tasks Scaleenv: Scaling environment synthesis from scratch for generalist interactive tool-use agent training, 2026

Reference 33

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source=pdf_text observed=2026-08-08T12:35:01.471490Z digest=sha256:e3f1d3c3dfc77886b9c77ace93f63aab66716b2e9e0a105c3195e4d00353e807

Observation f75fe1db-c6c7-42d2-b504-d3ab03f32073 · outbound

This paper cites Apex-agents, 2026.

Recursive Synthesis for Long-Horizon Terminal Tasks Apex-agents, 2026

Reference 34

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source=pdf_text observed=2026-08-08T12:35:01.475984Z digest=sha256:11e3d4435da02b283595da242f9794230dddb86a6f3a223dc31070803c2bf12c

Observation 59ac1581-8dd3-4cbe-bbdb-b6f08ad8e71c · outbound

This paper cites Swe-bench++: A framework for the scalable generation of software engineering benchmarks from open-source repositories, 2025.

Recursive Synthesis for Long-Horizon Terminal Tasks Swe-bench++: A framework for the scalable generation of software engineering benchmarks from open-source repositories, 2025

Reference 35

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source=pdf_text observed=2026-08-08T12:35:01.481690Z digest=sha256:a29a264eafa9a5ce085640dc852a5374bef41cae673b8146ddf54b494a2a41fa

Observation b73eb0ae-1e24-46a0-acdd-9a924a810255 · outbound

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

Recursive Synthesis for Long-Horizon Terminal Tasks OpenHands: An Open Platform for AI Software Developers as Generalist Agents

Reference 36

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source=pdf_text observed=2026-08-08T12:35:01.486636Z digest=sha256:899fe52a9099e7fab6c440cd9faee82fc57cabfaf568b1db4cfc49f2a78912f5

Observation e3d7f8c9-ef03-4028-bcd5-ea8e4b3244fb · outbound

This paper cites Llms as scalable, general-purpose simulators for evolving digital agent training,.

Recursive Synthesis for Long-Horizon Terminal Tasks Llms as scalable, general-purpose simulators for evolving digital agent training,

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-08T12:35:01.491438Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T12:35:01.491438Z digest=sha256:0c5b1107dfe8b8a41883bf1f5435720ca5c8b8f26499b7d2bd374a86dc5b3e10

Observation 762ab5bd-7461-4c05-bec4-bd2578a0d662 · outbound

This paper cites BenchEvolver: Frontier Task Synthesis via Solution-Centric Evolution.

Recursive Synthesis for Long-Horizon Terminal Tasks BenchEvolver: Frontier Task Synthesis via Solution-Centric Evolution

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-08T12:35:01.501875Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T12:35:01.501875Z digest=sha256:4f64221c8f1b66c684b64187232150cf39a686757b9f4b9b1488c5cc29a8cc7d

Observation 6e201482-5bee-4e4a-9bb7-a9d12a250cc1 · outbound

This paper cites Autowebworld: Synthesizing infinite verifiable web environments via finite state machines, 2026.

Recursive Synthesis for Long-Horizon Terminal Tasks Autowebworld: Synthesizing infinite verifiable web environments via finite state machines, 2026

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-08T12:35:01.506696Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T12:35:01.506696Z digest=sha256:d4664f9c240c8421e8b0925d1c397b0d4806d20cd0219b711d664f58387d261e

Observation f0ec4313-9275-4087-a681-702e7034aa58 · outbound

This paper cites an unresolved cited work.

Recursive Synthesis for Long-Horizon Terminal Tasks Unresolved cited work

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-08T12:35:01.496200Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T12:35:01.496200Z digest=sha256:7c2f360c134118a51e4225b0d528915d2fe11f4867c81650a6b8573fe6c10dac

Observation abd49d4b-6f43-44d2-8f0d-ffa3be579ecc · outbound

This paper cites OSWorld: Benchmarking Multimodal Agents for Open-Ended Tasks in Real Computer Environments.

Recursive Synthesis for Long-Horizon Terminal Tasks OSWorld: Benchmarking Multimodal Agents for Open-Ended Tasks in Real Computer Environments

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-08T12:35:01.516490Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T12:35:01.516490Z digest=sha256:12301beaafb0bfd9410367917d5d2a75335f433ebbcee605942685382faa9565

Observation 38d9527c-56c1-4ec5-8657-19b07ab3dfeb · outbound

This paper cites Wizardlm: Empowering large pre-trained language models to follow complex instructions.

Recursive Synthesis for Long-Horizon Terminal Tasks Wizardlm: Empowering large pre-trained language models to follow complex instructions

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T12:35:03.369349Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-08T12:35:01.521513Z digest=sha256:4cd197df9053edf41be4d47c25d4e17223b1d49f422c2102c9f74410e2fc5175

Observation 729330c6-6025-42dc-83e1-522d60a49f1b · outbound

This paper cites Agent0: Unleashing self-evolving agents from zero data via tool-integrated reasoning, 2025.

Recursive Synthesis for Long-Horizon Terminal Tasks Agent0: Unleashing self-evolving agents from zero data via tool-integrated reasoning, 2025

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-08T12:35:01.511524Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T12:35:01.511524Z digest=sha256:f7122d7a884308e78bfbca9b45786f6a045fe1093a69e8cd7be5f13a460e5d2e

Observation 9109421e-0c42-406c-98eb-dd6d0bba6352 · outbound

This paper cites Self-Rewarding Language Models.

Recursive Synthesis for Long-Horizon Terminal Tasks Self-Rewarding Language Models

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-08T12:35:01.531330Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T12:35:01.531330Z digest=sha256:bb542c40a4d38b7108c4c34c8aeb501af9c108e3c919754d35e10a7b43046175

Observation cc1409e5-004c-4d77-988e-33d9195d8939 · outbound

This paper cites Multi-SWE-bench: A Multilingual Benchmark for Issue Resolving.

Recursive Synthesis for Long-Horizon Terminal Tasks Multi-SWE-bench: A Multilingual Benchmark for Issue Resolving

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-08T12:35:01.535689Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T12:35:01.535689Z digest=sha256:7adc87fdc4ab41f4ee8aad72edb7281276bf7ca4e3a237563abab259cf4d8514

Observation 4aaa81d3-0dd6-42cd-820f-18f95f0264c9 · outbound

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

Recursive Synthesis for Long-Horizon Terminal Tasks SWE-agent: Agent-Computer Interfaces Enable Automated Software Engineering

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-08T12:35:01.526085Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T12:35:01.526085Z digest=sha256:9f50477ecc4eca19d65743db6e62cebea5f19ac830703ce69052148add10ba5f

Observation 086199cf-c30f-4789-adfc-39e11916fa3d · outbound

This paper cites RLVE: Scaling Up Reinforcement Learning for Language Models with Adaptive Verifiable Environments.

Recursive Synthesis for Long-Horizon Terminal Tasks RLVE: Scaling Up Reinforcement Learning for Language Models with Adaptive Verifiable Environments

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-08T12:35:01.545456Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T12:35:01.545456Z digest=sha256:4b04b1d88a346792612bf2c974601938b3c7c50e31ab7dd6487df543ff6388d7

Observation fa4a0800-592c-458a-bb7d-a8380d0c1fbd · outbound

This paper cites InfiniteWeb: Scalable Web Environment Synthesis for GUI Agent Training.

Recursive Synthesis for Long-Horizon Terminal Tasks InfiniteWeb: Scalable Web Environment Synthesis for GUI Agent Training

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-08T12:35:01.549784Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T12:35:01.549784Z digest=sha256:6724f2e3009a3108ad642a0a046bf6e5efd582eaa3e9599686acd60f64d771bd

Observation b1944726-6aad-4fc8-b534-cb506d1cd2e2 · outbound

This paper cites Star: Bootstrapping reasoning with reasoning.

Recursive Synthesis for Long-Horizon Terminal Tasks Star: Bootstrapping reasoning with reasoning

Reference 49

Resolution
unresolved
no resolver link, observed 2026-08-08T12:35:01.540492Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T12:35:01.540492Z digest=sha256:6a5b954517a79dc4f27a6b56cdd7af5bd2c32efe4fb88f943f5f24637ed1ca3a

Observation 8698f68a-6fc2-4622-a271-3aa74f7735bf · outbound

This paper cites WebArena: A Realistic Web Environment for Building Autonomous Agents.

Recursive Synthesis for Long-Horizon Terminal Tasks WebArena: A Realistic Web Environment for Building Autonomous Agents

Reference 50

Resolution
unresolved
no resolver link, observed 2026-08-08T12:35:01.558740Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T12:35:01.558740Z digest=sha256:884d4d1e81baa67212422f74a7fca94ccc4f4f2e1198b42b41f79751556b23a3

Observation 2e90da6b-1b81-43de-bc45-cbe34f63e5c0 · outbound

This paper cites Self-challenging lan- guage model agents.

Recursive Synthesis for Long-Horizon Terminal Tasks Self-challenging lan- guage model agents

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T12:35:03.344626Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-08T12:35:01.563424Z digest=sha256:5496c2eeb3dbdfd1a05d9e991f58f55cf201d16bb087d2b85b639993df4739b4

Observation 2e6ed6e5-ba9a-4b21-a66f-3db5c4a8ae99 · outbound

This paper cites Absolute Zero: Reinforced Self-play Reasoning with Zero Data.

Recursive Synthesis for Long-Horizon Terminal Tasks Absolute Zero: Reinforced Self-play Reasoning with Zero Data

Reference 52

Resolution
unresolved
no resolver link, observed 2026-08-08T12:35:01.553746Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T12:35:01.553746Z digest=sha256:d4553f64c3965c8669a75abdc9273fb148e76d69b858c907e2989d76c1f628b9

Observation b7ff8250-9818-4272-839f-3f0875a1336f · outbound

This paper cites fix this bug.

Recursive Synthesis for Long-Horizon Terminal Tasks fix this bug

Reference 53

Resolution
unresolved
no resolver link, observed 2026-08-08T12:35:01.572361Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T12:35:01.572361Z digest=sha256:9a5c836b1fa8c74a902af81b3f78e76262d35a26348e6d9baf555b004699053b

Observation eac52f9b-f66f-41ea-ad23-52aecb70d653 · outbound

This paper cites Termigen: High-fidelity environment and robust trajectory synthesis for terminal agents, 2026.

Recursive Synthesis for Long-Horizon Terminal Tasks Termigen: High-fidelity environment and robust trajectory synthesis for terminal agents, 2026

Reference 55

Resolution
unresolved
no resolver link, observed 2026-08-08T12:35:01.568019Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T12:35:01.568019Z digest=sha256:adb765e08ed0747eba69c4613f823054eb8711279509a81b62353945c8cdba5d

Observation 65d712c6-8fd3-43e3-9b10-218b501f55c8 · outbound

This paper cites an unresolved cited work.

Recursive Synthesis for Long-Horizon Terminal Tasks Unresolved cited work

Reference 57

Resolution
unresolved
raw_fallback, observed 2026-08-08T12:35:03.330156Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-08T12:35:01.578764Z digest=sha256:d803e1e7ab4910ede6b4e093b0dccbcb98d4e10d1c947793f02eb260213b8b51

Observation 7945c93a-e1b9-4e3d-8d89-b39a7815200f · outbound

This paper cites an unresolved cited work.

Recursive Synthesis for Long-Horizon Terminal Tasks Unresolved cited work

Reference 58

Resolution
unresolved
raw_fallback, observed 2026-08-08T12:35:03.315673Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-08T12:35:01.583427Z digest=sha256:090922fbd5bee0a9527caa763bb841f7f67aed977d1c9f0d9c41c4b7d1c8be08

Observation 5e41e0c0-5d1b-4bbf-ac40-64942545073d · outbound

This paper cites an unresolved cited work.

Recursive Synthesis for Long-Horizon Terminal Tasks Unresolved cited work

Reference 59

Resolution
unresolved
raw_fallback, observed 2026-08-08T12:35:03.300959Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-08T12:35:01.587964Z digest=sha256:9412a28841013551579ae8991da7ef3a71b90ca99977309d12e617e9923035e8

Observation be9f50aa-88a0-45d5-8f78-c13f1fcab05d · outbound

This paper cites an unresolved cited work.

Recursive Synthesis for Long-Horizon Terminal Tasks Unresolved cited work

Reference 60

Resolution
unresolved
raw_fallback, observed 2026-08-08T12:35:03.284962Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-08T12:35:01.592376Z digest=sha256:d12e6f5153f84335e70d952251a3919e7047313bd194aefff24de8f0ff359102

Observation fdd1eb42-3b5a-4b8b-9bc2-755602fabd3b · outbound

This paper cites an unresolved cited work.

Recursive Synthesis for Long-Horizon Terminal Tasks Unresolved cited work

Reference 61

Resolution
unresolved
raw_fallback, observed 2026-08-08T12:35:03.268785Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-08T12:35:01.597325Z digest=sha256:e025a84daf7b7922470e870f0f53a78b7335949b6e26c7ee6b6f69c644b0dcb0

Observation e6b5e406-e6e5-43f9-909a-3c9612176c37 · outbound

This paper cites an unresolved cited work.

Recursive Synthesis for Long-Horizon Terminal Tasks Unresolved cited work

Reference 62

Resolution
unresolved
raw_fallback, observed 2026-08-08T12:35:03.254594Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-08T12:35:01.601936Z digest=sha256:e126c07fe405adc661df44cac1f107f35ad10e4ba4da6f5c4ad46616241cb774

Observation 3440699a-1c81-49ba-8a15-b7d892117e93 · outbound

This paper cites an unresolved cited work.

Recursive Synthesis for Long-Horizon Terminal Tasks Unresolved cited work

Reference 63

Resolution
unresolved
raw_fallback, observed 2026-08-08T12:35:03.239621Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-08T12:35:01.606600Z digest=sha256:ef95dcdc8e78de2bf448ba5526d9b953c9921837f0572a2ae72b71f92304302a

Observation eb565eab-b642-413e-9647-dbc85a94026c · outbound

This paper cites an unresolved cited work.

Recursive Synthesis for Long-Horizon Terminal Tasks Unresolved cited work

Reference 64

Resolution
unresolved
raw_fallback, observed 2026-08-08T12:35:03.224772Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-08T12:35:01.611257Z digest=sha256:6e36444c01e4edd2fbcede136ca250fa388c82b8fb4b0fcfcc0dc3b34568c1b8

Observation 499ebf7c-6274-4ee3-bd1a-68d3c740cef9 · outbound

This paper cites until tests pass.

Recursive Synthesis for Long-Horizon Terminal Tasks until tests pass

Reference 65

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T12:35:03.210164Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-08T12:35:01.615574Z digest=sha256:1525c86e810aaf1748b8302a7a3d70c48ac3e8164d03469eebf59aa4fb213f03

Observation 83c979f1-9a6d-4b75-85fc-9a87086c735c · outbound

This paper cites AgentBench: Evaluating LLMs as Agents.

Recursive Synthesis for Long-Horizon Terminal Tasks AgentBench: Evaluating LLMs as Agents

Reference 2025

Resolution
unresolved
no resolver link, observed 2026-08-08T12:35:01.416279Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T12:35:01.416279Z digest=sha256:5472efd6dcc95b7bf99023b6d9c4e9688905e9a4ac16e43fdf020c1c690125a1

Observation 3804f896-5336-4003-9f00-41dcb5ef1009 · outbound

This paper cites an unresolved cited work.

Recursive Synthesis for Long-Horizon Terminal Tasks Unresolved cited work

Reference 2026

Resolution
unresolved
raw_fallback, observed 2026-08-08T12:35:03.463141Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-08T12:35:01.329215Z digest=sha256:5c526a4ba59f63c013e991df8b8e9ea615ceee56ae62076dbcc278ab05ebfb4d

Pith citing papers

No inbound Pith citation observations are available.