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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:e69c81caead26f4a56be75b1b8b304862e5ba3a774425dfccfe079bdc4ad1752

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=sha256:42b8164e255d78a7f89cef87658f9fe1e2ed25e2f410aa0a841bf29f60748eb2

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=sha256:396e5701ba702131877a4c68f5eaf8bef88d69bf8bf50270a7da2cd24faa7797

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:addf2b1abbf2b126ed91312e463dbb7c96084c6b437c3f3541c027cb3f9db637

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=sha256:037c04ed9deb55bbfc65f53d306c91dc0703ce4634dd11ad54677681d47966b4

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=sha256:3ece2ce28e2b0cd3ee75f4bd75b19a1952c19777391e6f34e0ad2cf3e2ba0086

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:c7f7dfe80adb1b2f22499a4bb4c8a6b7df298626ad678605524a926309cef97f

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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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=sha256:9cc670d3660731662bfafe71782e0dd040715427fd8f4774b4dad2658ac93d83

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=sha256:87d4bc9db9e57a715ecbbd1813256a04cc46185a5c6777183904a3a1d1415666

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:c83f7f9fa922660c7180fec71548879774c1cf54af4765a4ef90248f648290f0

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=sha256:0150f1054a69705fb0de3fa75089473ab13707b9daa63329e9ad4cf395cdf749

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=sha256:345e9cd9e5c25ea34014b26144d6e3b2f2be65d5fcfb5e3add36630647559303

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=sha256:958bdcba6660c03d8cd1573ac3965dc547a0466cae82d3ffceb0795e7e7f42ce

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=sha256:57936565832b668781fd3fbe6fca4bc47103bcaecfce4a6a1a38e4843edbf9a2

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=sha256:1384b9b02af3a001530ee7d96ed50e4812243cbb0b0f8eb7a6be3cf3e592eadc

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:f34e2b9d85c0dd5083aa3722ffdc8ef6466edfc7066a71666274036acd97f9ba

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:bfa53cbc898465252fef44a98d5080dbbb1085074be20892de4f3762a2b1cf44

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=sha256:6e6cc43b5f9a65fb38313c7347814b071cc47fde8afed32493fd73046b1abea9

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:dc7f6b210d186786e7a9db6c5decbeff5d4c2079582ddb0936eec20f24facb51

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=sha256:9e28212d12c4870aed3e6306946bf3c2da1d61b2a304bd60af9d8ec9a6fd6367

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:b92e7e070443fb509205dbbbfc7afdba4515a41a04f2ee670813eb52026a10d1

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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raw_fallback, observed 2026-08-08T12:35:03.394024Z

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:a91c50b9bb519fa66da091d35b2327c0ff48a3d823413bc3ab518bc3a299562e

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:e232ea56d92ce72f7a3bab650fe719ddb901aa7b64f2d0304c355e10238d41ba

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:ddddbc84c7a3b5007ff0aa28421bc60ba9b8cad5d3896f98381dbb2186c1700f

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=sha256:90729db42ad0f0607ac37c39ededf6d0656cb9111ecd3ebb01424740c881ea7f

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=sha256:781b14b368dbbb936193d4b7cf61eec2131cb39f1ccd409ff91ced7ca5f00558

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:ee7ef89e80d8d409f67f5216a54f69ed039e0e91720dd9fb22a4b49399c60769

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=sha256:2a22caf31b44368151be7b1e7c378048b0339ebafc9932ee8d8ef456490e73b1

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=sha256:2e489045af2bea1f878a9b599be79acc40ad544fd738d36cd635cd69af09dc15

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=sha256:00b845a6da45322f99c0517ea48c8ca2839af2bbbddacddbb881713d19e63666

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=sha256:7fe8f83607341cc95a0553b4b93ce621ef02366c5ee8d1c0eeb199ccf47572c5

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:ff614cce949f6129848080046587565da6a957e24c53901ceb2880d1af4c1a6a

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=sha256:9bee9aec647eeef426c3e50edd51c531d2cc052b0d6f3e9b5a5883f928de9cf5

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=sha256:471dbd930987e64097a6e30c4db08d1dd005732d40e42c91de16199a6aad4cc7

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:deb38ee894f168cb1b6ab7b99ed64f143a5c164ebe7dbf3b746ab18aaf6738b8

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=sha256:5f137d244a3e51fa99985dcf46ee514c452ac2f9ce9ab0b988a882fd3c3bd996

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=sha256:3bac85c2e1aed1f50604831860a4ebf35b530f5c63b2023ce7329c5eb6ffe1d9

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:f753453cbb290eb955a96ce4af418b29181233977c6e20e3ce3b780c747753d3

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=sha256:7c25e177a9c2acfa40c6e92824707e7712300014b7c88a339ef6374df0991e0e

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=sha256:573af186200c0da372479b358929f39a533a696951b0530cbd6771443a107ff4

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=sha256:430af45d252088c20c6ee5bfd93d63456211e33ff387ae9dcc172e280fd79b46

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=sha256:519317eb8bd2900646a6274893e93a043d6640facf87e77c47859a0a91c359a9

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=sha256:8a117d44573c99ea36999d3f655f29824d602b37ad8475ef1f5e45c3885444cf

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:ad20d4f410811b57d1870bc1e30b9be8c496b44a0800b2e7446e43fbd8ecbd54

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=sha256:83f829a8edd810ec8ac51edc54d3b6a8413b4d8496b7d6831a90bce4276e2e54

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=sha256:5dc54908f1e856262468cbc2992fd112e3092b503156ea9c849030ace7fc7b07

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=sha256:9679633b65f8f1a307cbd2c228221e8d53538114c9dc75d0f553e091b200dd8b

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:ab70bae3e8fc685fbe33f9d24cf54c3a77a22792e6e40ce60977bb0e61d2a7af

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=sha256:42e64c906fdadca96c74d4383e713ea5a872d897b171829f1dc0e9711c3bfcaa

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:fbfb49e11cb7e5321827987a7aeb74d5eaed36710b2a5f820f17ed7e2f4b2cc8

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=sha256:5db26d8739b3af3d6c11bb33c657813ed9e706210a055efbb70928e3e7fbe539

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=sha256:039aeb9e05bc41938b43d2c4cc828d323f671643a03ca09ededea2e54986b26e

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:a597284a6ff17758695a4e89844f263b7b41408b40dc4b23bd0edfaa58bb5400

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:eb6557bf0f0985ab800747e9e0f9948cd253fec33b4d99faaf99de4063850061

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:a9ac29b4704fbfa9db81c28d3921250a1deabb1b8b322b3a587a4793e9df74c3

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:cd47d31c5d01a6e32e8eae3255920e8ca82d493b0aba60b50ca78baa8d42e1e5

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=sha256:2d5cc29b74d9cff2206b061381b255068215f7f427864e5f026c339bfdeb9b8e

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=sha256:67f946aa1011c4639d287249a86f64be4cd712415e5707097e7bad93078b6818

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=sha256:4c72ba961dc3475754f95ba85a3da842f4792c702fd213b6f1865893351ee5c6

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:c0f2fc2a95aed6c70a368f3a2c6dfd1e00309c6959e01255873aa9ffcd4595b8

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=sha256:8508efa2636c7a57c6ac340e660f4fca585794dc172ba4e324bd2b55bdda05a7

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=sha256:69d7a53cdb76b88f5144026de3922a45a4d5948a60146a518e8e6c2082deec37

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=sha256:1cc21871d6f9677e760114f0b80a7e8e8a0bee7fe0de677547481a48c287ca2d

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=sha256:1675b9746f04df0370209b43da2dfb513a0035a08a3a6afc54fd1b02a1efab90

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:f919dfda87472fe4ad593274706bc0a05a9a7d7f7e720bda068f9aac327067ba

Pith citing papers

No inbound Pith citation observations are available.