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Paper Citation Record · LEDGER

CalibForge: Adversarial Solver Calibration for Scaling Learnable Terminal Tasks

As of 8 August 2026, this Paper Citation Record lists 53 of 53 outbound references and 0 inbound Pith citation observations for arXiv:2608.06352.

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

pith.paper-citation-record.v1
2608.06352 v1

Coverage vector

measured 53 of 53 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T04:45:36.209787Z

measured 53 of 53 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

53 of 53 outbound references displayed

  • verified exact0
  • verified fuzzy7
  • unresolved34
  • parse uncertain1
  • malformed identifier0
  • metadata mismatch11

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 8e66d088-e399-4b0d-a401-367d90447af3 · outbound

This paper cites arXiv preprint arXiv:2602.07274 , year=.

CalibForge: Adversarial Solver Calibration for Scaling Learnable Terminal Tasks arXiv preprint arXiv:2602.07274 , year=

Reference 1

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T04:45:30.368016Z digest=sha256:b8c6bd05dc75583034da7d73cbdb72e16ea2a0a90331ecd7440036b2889c3ced

Observation cd31eae9-2cd4-40a1-b7c2-df95e854f0b1 · outbound

This paper cites arXiv preprint arXiv:2602.21193 , year=.

CalibForge: Adversarial Solver Calibration for Scaling Learnable Terminal Tasks arXiv preprint arXiv:2602.21193 , year=

Reference 2

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no resolver link, observed 2026-08-07T04:45:30.428240Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T04:45:30.428240Z digest=sha256:69ebb045d1f5cf7bfa8751e817eca101461a43810e7d5fd34bdf1c6483e1a4bd

Observation 2a4755df-3bc5-4212-b117-7ee80c190e8c · outbound

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

CalibForge: Adversarial Solver Calibration for Scaling Learnable Terminal Tasks Terminal-Bench: Benchmarking Agents on Hard, Realistic Tasks in Command Line Interfaces

Reference 3

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unresolved
no resolver link, observed 2026-08-07T04:45:30.498124Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T04:45:30.498124Z digest=sha256:79e68df6e3bb7bd26a96fd99101b2cbc5036b3dd05d5b3e9d534d1507cc0c27c

Observation da4b02de-4258-4344-ba1f-96e56b68f020 · outbound

This paper cites arXiv preprint arXiv:2601.16443 , year=.

CalibForge: Adversarial Solver Calibration for Scaling Learnable Terminal Tasks arXiv preprint arXiv:2601.16443 , year=

Reference 4

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no resolver link, observed 2026-08-07T04:45:30.551611Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T04:45:30.551611Z digest=sha256:d1ea1aa7a5f0217c24a749ad3e555b5fb73967bb100ffd695eabf895163acfa2

Observation d1e2c3b2-ad83-44e0-930a-836368b60153 · outbound

This paper cites Large-Scale Terminal Agentic Trajectory Generation from Dockerized Environments.

CalibForge: Adversarial Solver Calibration for Scaling Learnable Terminal Tasks Large-Scale Terminal Agentic Trajectory Generation from Dockerized Environments

Reference 5

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no resolver link, observed 2026-08-07T04:45:30.606340Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T04:45:30.606340Z digest=sha256:5d5e8b414db6a44668807f78bcfa0c530a3f2433f11391714c8934b095292bbd

Observation fd665f89-560e-4deb-9075-0964cff5e7bb · outbound

This paper cites arXiv preprint arXiv:2603.05344 , year=.

CalibForge: Adversarial Solver Calibration for Scaling Learnable Terminal Tasks arXiv preprint arXiv:2603.05344 , year=

Reference 6

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unresolved
no resolver link, observed 2026-08-07T04:45:30.677027Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T04:45:30.677027Z digest=sha256:1ca1a712090f5938c2e76a17d1da5907199efc092498a034f1467604a3764314

Observation 43d28349-dc24-4169-b032-286231b1b23a · outbound

This paper cites A Self-Evolving Framework for Efficient Terminal Agents via Observational Context Compression.

CalibForge: Adversarial Solver Calibration for Scaling Learnable Terminal Tasks A Self-Evolving Framework for Efficient Terminal Agents via Observational Context Compression

Reference 7

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metadata mismatch
local_arxiv, observed 2026-08-07T04:45:38.184518Z

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=arxiv_source observed=2026-08-07T04:45:30.759106Z digest=sha256:f61d53161700d658078169a96df9521775cf7d3721e39ff7fcd6372a1ca4fe28

Observation d31c99d7-aaa8-4bdf-89b1-074bc15d5e7e · outbound

This paper cites arXiv preprint arXiv:2602.10999 , year=.

CalibForge: Adversarial Solver Calibration for Scaling Learnable Terminal Tasks arXiv preprint arXiv:2602.10999 , year=

Reference 8

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no resolver link, observed 2026-08-07T04:45:30.894271Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T04:45:30.894271Z digest=sha256:03cd7c730d82f84070384b83a88dbfb5734e5d7285c662810e66a350d14241bf

Observation afa97961-4274-4634-8ed3-75e8e0ef0d0b · outbound

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

CalibForge: Adversarial Solver Calibration for Scaling Learnable Terminal Tasks TerminalWorld: Benchmarking Agents on Real-World Terminal Tasks

Reference 9

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no resolver link, observed 2026-08-07T04:45:31.005206Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T04:45:31.005206Z digest=sha256:d3fed2e77d99adaf5323f48387991e7ab51b0ad44a2cee7d1b548fedde4f6d5a

Observation cfe25758-e2da-43ad-9487-1f75c18a07ba · outbound

This paper cites Terminal-World: Scaling Terminal-Agent Environments via Agent Skills.

CalibForge: Adversarial Solver Calibration for Scaling Learnable Terminal Tasks Terminal-World: Scaling Terminal-Agent Environments via Agent Skills

Reference 10

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unresolved
no resolver link, observed 2026-08-07T04:45:31.098918Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T04:45:31.098918Z digest=sha256:52c5d45086107feb3ee62a17ad0f81943096f6f52513f74378167464cbf4343c

Observation d0c7463a-2d8d-4a65-bd1b-d58af57a38ff · outbound

This paper cites Toward Scalable Terminal Task Synthesis via Skill Graphs.

CalibForge: Adversarial Solver Calibration for Scaling Learnable Terminal Tasks Toward Scalable Terminal Task Synthesis via Skill Graphs

Reference 11

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no resolver link, observed 2026-08-07T04:45:31.232233Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T04:45:31.232233Z digest=sha256:a9e640f42ed7a03d87d9b0ed31b68d6f09e28c74a31a578eb5c9f829b483a468

Observation f1ce4131-7874-4bb5-bdea-a4a6add1a72b · outbound

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

CalibForge: Adversarial Solver Calibration for Scaling Learnable Terminal Tasks Tmax: A simple recipe for terminal agents

Reference 12

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metadata mismatch
local_arxiv, observed 2026-08-07T04:45:38.026943Z

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=arxiv_source observed=2026-08-07T04:45:31.327608Z digest=sha256:6f37b7d66c246124c034883d326b7e67324300395110b9ea15f1966f957b9367

Observation 2f02c65c-b372-4589-b1c8-d4c6430c2c5b · outbound

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

CalibForge: Adversarial Solver Calibration for Scaling Learnable Terminal Tasks CLI-Universe: Towards Verifiable Task Synthesis Engine for Terminal Agents

Reference 13

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metadata mismatch
local_arxiv, observed 2026-08-07T04:45:38.003050Z

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=arxiv_source observed=2026-08-07T04:45:31.431466Z digest=sha256:f3a35e92918c7ac48276b05f31cc5f8dc11d0cfca009239aebd26090ea267ed5

Observation 68ef641d-b075-4df2-8996-641b63532fe0 · outbound

This paper cites BeyondSWE: Can Current Code Agent Survive Beyond Single-Repo Bug Fixing?.

CalibForge: Adversarial Solver Calibration for Scaling Learnable Terminal Tasks BeyondSWE: Can Current Code Agent Survive Beyond Single-Repo Bug Fixing?

Reference 14

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no resolver link, observed 2026-08-07T04:45:31.573356Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T04:45:31.573356Z digest=sha256:f6ebcf95f509c1dcaf76a28affb668dd85e2b30952ac3f08c4d0fb6cae214a3c

Observation 25a4f4ec-a556-40f3-8640-3d32f9dba07d · outbound

This paper cites SWE-Bench Pro: Can AI Agents Solve Long-Horizon Software Engineering Tasks?.

CalibForge: Adversarial Solver Calibration for Scaling Learnable Terminal Tasks SWE-Bench Pro: Can AI Agents Solve Long-Horizon Software Engineering Tasks?

Reference 15

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no resolver link, observed 2026-08-07T04:45:31.659747Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T04:45:31.659747Z digest=sha256:47815735bb6a3c23c60266bbd91343f9e4eb9cd1fd9370a65e1ad98fa68addb0

Observation 31c2274b-75ad-435c-9173-a10b6a589466 · outbound

This paper cites 2026 , month = jan, howpublished =.

CalibForge: Adversarial Solver Calibration for Scaling Learnable Terminal Tasks 2026 , month = jan, howpublished =

Reference 16

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verified fuzzy
raw_fallback, observed 2026-08-07T04:45:38.865806Z

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=arxiv_source observed=2026-08-07T04:45:31.766099Z digest=sha256:ea00b795a4529ec402601382e94145efe1d44d343881afc47fba7a0be3830e45

Observation 4ec27564-73af-4d55-8962-766dddc01b5e · outbound

This paper cites arXiv preprint arXiv:2606.19348 , year=.

CalibForge: Adversarial Solver Calibration for Scaling Learnable Terminal Tasks arXiv preprint arXiv:2606.19348 , year=

Reference 17

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no resolver link, observed 2026-08-07T04:45:31.874301Z

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source=arxiv_source observed=2026-08-07T04:45:31.874301Z digest=sha256:0ceeba8a86b71833515396a84d96bfb48c874360d6dcd24747833cd5bc0f8858

Observation 79c8b656-593c-4090-bd80-ac352875445a · outbound

This paper cites doi:10.5281/zenodo.20953922 , url =.

CalibForge: Adversarial Solver Calibration for Scaling Learnable Terminal Tasks doi:10.5281/zenodo.20953922 , url =

Reference 18

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no resolver link, observed 2026-08-07T04:45:31.984167Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T04:45:31.984167Z digest=sha256:83b4aa83fae5133341223b48eb1726897166cb4d8d61e0e6a08a9bd9f802212e

Observation fbb05b67-c47b-41e8-ac40-d739f5a05801 · outbound

This paper cites 2025 , eprint=.

CalibForge: Adversarial Solver Calibration for Scaling Learnable Terminal Tasks 2025 , eprint=

Reference 19

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no resolver link, observed 2026-08-07T04:45:32.087309Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T04:45:32.087309Z digest=sha256:edf7a795136f6a599382328958a943a7e02331a4b48dc5474ab36157ef297906

Observation 23d38286-f46c-4042-9dc8-34df5b530e3a · outbound

This paper cites GLM-5: from Vibe Coding to Agentic Engineering.

CalibForge: Adversarial Solver Calibration for Scaling Learnable Terminal Tasks GLM-5: from Vibe Coding to Agentic Engineering

Reference 20

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no resolver link, observed 2026-08-07T04:45:32.214170Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T04:45:32.214170Z digest=sha256:e89a753764f63d3d580b2f21d4f4d02a7bf17733da7c176adaf4ec4320757230

Observation 2183a079-564b-4bcd-83b7-be1d348cea0f · outbound

This paper cites Kimi K2.5: Visual Agentic Intelligence.

CalibForge: Adversarial Solver Calibration for Scaling Learnable Terminal Tasks Kimi K2.5: Visual Agentic Intelligence

Reference 21

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unresolved
no resolver link, observed 2026-08-07T04:45:32.315481Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T04:45:32.315481Z digest=sha256:d3789acf2946ad54af12c0bbaeedd59521344ff92133656eef1ef20f0a7f40ed

Observation fdc9bbf6-ee9c-4b88-bf1f-f953f97ed968 · outbound

This paper cites International Conference on Learning Representations , volume=.

CalibForge: Adversarial Solver Calibration for Scaling Learnable Terminal Tasks International Conference on Learning Representations , volume=

Reference 22

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no resolver link, observed 2026-08-07T04:45:32.412763Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T04:45:32.412763Z digest=sha256:cdc88fe6cd6fcafb02075c2fd7f55c4f1f520604b2e5f469e15699ba94ae5b33

Observation 817ba112-9597-4246-a7ee-57ecbe543e6f · outbound

This paper cites an unresolved cited work.

CalibForge: Adversarial Solver Calibration for Scaling Learnable Terminal Tasks Unresolved cited work

Reference 23

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no resolver link, observed 2026-08-07T04:45:32.524750Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T04:45:32.524750Z digest=sha256:8411fa726d08ab5b4099254bdc6c6456542f74a4de3e21bce4f45aeb9a3d51ed

Observation 6c5a10a8-970e-47a2-a97a-ae6426240d13 · outbound

This paper cites an unresolved cited work.

CalibForge: Adversarial Solver Calibration for Scaling Learnable Terminal Tasks Unresolved cited work

Reference 24

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no resolver link, observed 2026-08-07T04:45:32.688630Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T04:45:32.688630Z digest=sha256:5d3d60d06b6f616da7ec31d6dd34afe8e12a85a947b5b6d12c3ffaed62fb0eb6

Observation 7ae62f66-9b23-4e32-b2b1-2105e6ae8f78 · outbound

This paper cites Advances in Neural Information Processing Systems , volume=.

CalibForge: Adversarial Solver Calibration for Scaling Learnable Terminal Tasks Advances in Neural Information Processing Systems , volume=

Reference 25

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verified fuzzy
raw_fallback, observed 2026-08-07T04:45:38.807946Z

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=arxiv_source observed=2026-08-07T04:45:32.850600Z digest=sha256:6ae0a62dbac5b3fca7106eb90189dc811586c990401850f8c12b97277ab75645

Observation 28aaaa72-bbbe-45bb-b2de-4cbc6af45109 · outbound

This paper cites The Thirty-eighth Annual Conference on Neural Information Processing Systems , year=.

CalibForge: Adversarial Solver Calibration for Scaling Learnable Terminal Tasks The Thirty-eighth Annual Conference on Neural Information Processing Systems , year=

Reference 26

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verified fuzzy
raw_fallback, observed 2026-08-07T04:45:38.791015Z

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=arxiv_source observed=2026-08-07T04:45:33.030203Z digest=sha256:da89afd6a2153130f8a2ef4f039a6e5747a046788fa957a0a663ae5a498f96f7

Observation b805c310-4960-4f48-ab76-5432e72d93d6 · outbound

This paper cites Dynabench: Rethinking Benchmarking in NLP.

CalibForge: Adversarial Solver Calibration for Scaling Learnable Terminal Tasks Dynabench: Rethinking Benchmarking in NLP

Reference 27

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unresolved
no resolver link, observed 2026-08-07T04:45:33.194776Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T04:45:33.194776Z digest=sha256:8807fa1b736f0b988fd2af4f4b3e00d5b878666e869967dbf75d0ea4720206fe

Observation 1dfccd70-5870-475a-bd8f-e9c7492f3ff4 · outbound

This paper cites Advances in neural information processing systems , volume=.

CalibForge: Adversarial Solver Calibration for Scaling Learnable Terminal Tasks Advances in neural information processing systems , volume=

Reference 28

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no resolver link, observed 2026-08-07T04:45:33.384591Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T04:45:33.384591Z digest=sha256:aba057bb4a2d26cc726127c508d7d00e4f0780b62c970f271a23c2c1f15d04ab

Observation 1635fe43-b510-4cec-991f-79ba8b5d62b9 · outbound

This paper cites Advances in neural information processing systems , volume=.

CalibForge: Adversarial Solver Calibration for Scaling Learnable Terminal Tasks Advances in neural information processing systems , volume=

Reference 29

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unresolved
no resolver link, observed 2026-08-07T04:45:33.545279Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T04:45:33.545279Z digest=sha256:df9c219a23e752464c25f953da36e56f29ac572d07c78e22261e8378650b81b8

Observation c0f5ba2e-9e2a-4802-93b5-d955cfdf8485 · outbound

This paper cites NeurIPS 2022 Foundation Models for Decision Making Workshop , year=.

CalibForge: Adversarial Solver Calibration for Scaling Learnable Terminal Tasks NeurIPS 2022 Foundation Models for Decision Making Workshop , year=

Reference 30

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unresolved
no resolver link, observed 2026-08-07T04:45:33.706466Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T04:45:33.706466Z digest=sha256:feeea350ca727ad34816297e00986dd53c2a00d7519579ebd694bd33bd85400f

Observation 85e1dedc-0a45-483b-9e6f-d9bab23b2cb6 · outbound

This paper cites an unresolved cited work.

CalibForge: Adversarial Solver Calibration for Scaling Learnable Terminal Tasks Unresolved cited work

Reference 31

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unresolved
raw_fallback, observed 2026-08-07T04:45:38.734667Z

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=arxiv_source observed=2026-08-07T04:45:33.841808Z digest=sha256:04064872ea20773881715aebda3245aaad89bfcd4cfc8168d5d0df171ad45ba7

Observation bc2a35e7-516f-4b84-8c42-ffe0c6d2dadb · outbound

This paper cites Expanding the Capability Frontier of.

CalibForge: Adversarial Solver Calibration for Scaling Learnable Terminal Tasks Expanding the Capability Frontier of

Reference 32

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verified fuzzy
raw_fallback, observed 2026-08-07T04:45:38.717710Z

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=arxiv_source observed=2026-08-07T04:45:34.036598Z digest=sha256:1c0d418dede2361272711eeabb97e20b527608785482ac91c80680f387230299

Observation 8245a20f-352e-4b31-b824-06a334b842b2 · outbound

This paper cites International Conference on Learning Representations , volume=.

CalibForge: Adversarial Solver Calibration for Scaling Learnable Terminal Tasks International Conference on Learning Representations , volume=

Reference 33

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unresolved
no resolver link, observed 2026-08-07T04:45:34.217277Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T04:45:34.217277Z digest=sha256:26575ea3ecd600f8b7ece41184939c165e581a99574f88a09ed50734e6fa08cb

Observation fe6cb112-55fb-4a45-9a96-09c6e8399f92 · outbound

This paper cites Advances in Neural Information Processing Systems , volume=.

CalibForge: Adversarial Solver Calibration for Scaling Learnable Terminal Tasks Advances in Neural Information Processing Systems , volume=

Reference 34

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unresolved
no resolver link, observed 2026-08-07T04:45:34.335598Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T04:45:34.335598Z digest=sha256:5b9519a6dac97172c026bc2c10f330d2e5c98e714b8126679588e27650197941

Observation a660d03d-54e1-47c2-a2f3-8563bf999f05 · outbound

This paper cites Transactions on Machine Learning Research , year=.

CalibForge: Adversarial Solver Calibration for Scaling Learnable Terminal Tasks Transactions on Machine Learning Research , year=

Reference 35

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verified fuzzy
raw_fallback, observed 2026-08-07T04:45:38.679624Z

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=arxiv_source observed=2026-08-07T04:45:34.453999Z digest=sha256:ce3bde1730615c79f6dc5a32a123e6ef384c37d8807a87e7cc4f4ec457595bcd

Observation a8e7e275-a75b-48f9-b1c8-7cecad4c8417 · outbound

This paper cites International Conference on Learning Representations , volume=.

CalibForge: Adversarial Solver Calibration for Scaling Learnable Terminal Tasks International Conference on Learning Representations , volume=

Reference 36

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no resolver link, observed 2026-08-07T04:45:34.574781Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T04:45:34.574781Z digest=sha256:28837c039b7a1f56a931bdba33bbf714afef35000e40285b799769bc6d5790b3

Observation 771ffd14-2d87-4154-83fe-6893f6ec4052 · outbound

This paper cites Computer Environments Elicit General Agentic Intelligence in LLMs.

CalibForge: Adversarial Solver Calibration for Scaling Learnable Terminal Tasks Computer Environments Elicit General Agentic Intelligence in LLMs

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-07T04:45:34.703879Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T04:45:34.703879Z digest=sha256:8f645d5f7bb1c5e61f74b092486b9ef029036c0d581f31cc9cf0da5ee6c0cbe4

Observation bef9eee9-0e32-4567-b726-55797ef2a7f1 · outbound

This paper cites Findings of the Association for Computational Linguistics: ACL 2026 , pages=.

CalibForge: Adversarial Solver Calibration for Scaling Learnable Terminal Tasks Findings of the Association for Computational Linguistics: ACL 2026 , pages=

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:45:38.651741Z

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=arxiv_source observed=2026-08-07T04:45:34.815423Z digest=sha256:a757831a1f05a18be9e5e1942703c740af4690f4213c047d601b86acb843841b

Observation e607d697-38f1-4235-9fae-0a5209ef4593 · outbound

This paper cites TUA-Bench: A Benchmark for General-Purpose Terminal-Use Agents.

CalibForge: Adversarial Solver Calibration for Scaling Learnable Terminal Tasks TUA-Bench: A Benchmark for General-Purpose Terminal-Use Agents

Reference 39

Resolution
metadata mismatch
local_arxiv, observed 2026-08-07T04:45:37.693140Z

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=arxiv_source observed=2026-08-07T04:45:34.885413Z digest=sha256:8d7d5cf02db8ce22d13463f1e73293f758dad7b7e518051a11a1f050a5968ab1

Observation 0c79129c-6590-47ce-8753-b0aacabb8281 · outbound

This paper cites Toward Autonomous Long-Horizon Engineering for ML Research.

CalibForge: Adversarial Solver Calibration for Scaling Learnable Terminal Tasks Toward Autonomous Long-Horizon Engineering for ML Research

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-07T04:45:34.956361Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T04:45:34.956361Z digest=sha256:2ba425b1e4a1540a731d84440ad116a72799f0c7be3a8c37e46d4241b7cdf25a

Observation ffc54f7c-ae67-4ca5-b881-0e330d5adf76 · outbound

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

CalibForge: Adversarial Solver Calibration for Scaling Learnable Terminal Tasks Long-Horizon-Terminal-Bench: Testing the Limits of Agents on Long-Horizon Terminal Tasks with Dense Reward-Based Grading

Reference 41

Resolution
metadata mismatch
local_arxiv, observed 2026-08-07T04:45:37.646242Z

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=arxiv_source observed=2026-08-07T04:45:35.074893Z digest=sha256:bcb0fd446c8d0d2494a532d2e2e59ff958d6930ad5d5c99f3d7ebeda74991391

Observation 07c4cc93-02ca-4dce-b1df-3ebeccb6d82f · outbound

This paper cites ClawForge: Generating Executable Interactive Benchmarks for Command-Line Agents.

CalibForge: Adversarial Solver Calibration for Scaling Learnable Terminal Tasks ClawForge: Generating Executable Interactive Benchmarks for Command-Line Agents

Reference 42

Resolution
metadata mismatch
local_arxiv, observed 2026-08-07T04:45:37.620599Z

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=arxiv_source observed=2026-08-07T04:45:35.202876Z digest=sha256:59d97a52b82295629535b225f434c59f1dff0c9cfd077253ada46dadc052f8fa

Observation 6bccc72d-e451-4618-86e8-08999a259431 · outbound

This paper cites NexForge: Scaling Agent Capabilities through Requirement-Driven Task Synthesis for LLMs.

CalibForge: Adversarial Solver Calibration for Scaling Learnable Terminal Tasks NexForge: Scaling Agent Capabilities through Requirement-Driven Task Synthesis for LLMs

Reference 43

Resolution
metadata mismatch
local_arxiv, observed 2026-08-07T04:45:37.586081Z

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=arxiv_source observed=2026-08-07T04:45:35.325371Z digest=sha256:07def77d81188611911da30c5625d9f0e2edb74510179599fe2615b3023819f8

Observation 237b2941-555f-4a28-bc94-8dfa6ff3583f · outbound

This paper cites What Makes a Good Terminal-Agent Benchmark Task: A Guideline for Adversarial, Difficult, and Legible Evaluation Design.

CalibForge: Adversarial Solver Calibration for Scaling Learnable Terminal Tasks What Makes a Good Terminal-Agent Benchmark Task: A Guideline for Adversarial, Difficult, and Legible Evaluation Design

Reference 44

Resolution
metadata mismatch
local_arxiv, observed 2026-08-07T04:45:37.476768Z

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=arxiv_source observed=2026-08-07T04:45:35.432159Z digest=sha256:7a9fb1c5e8bcc6fe8eba8bc9f08f878c5a2c3251ade45480abbd0c8a3957f091

Observation 57a20f1f-14c3-4f4b-bbbd-bb73b9cf1eea · outbound

This paper cites an unresolved cited work.

CalibForge: Adversarial Solver Calibration for Scaling Learnable Terminal Tasks Unresolved cited work

Reference 45

Resolution
unresolved
raw_fallback, observed 2026-08-07T04:45:38.635338Z

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=arxiv_source observed=2026-08-07T04:45:35.538988Z digest=sha256:26c7111ca97c94f98000a7c1c219a8b933be02ce7d63af0b386635ea228c9af1

Observation e6dac3ab-0ca3-455c-8e67-6f229dbd85f1 · outbound

This paper cites What Makes Interaction Trajectories Effective for Training Terminal Agents?.

CalibForge: Adversarial Solver Calibration for Scaling Learnable Terminal Tasks What Makes Interaction Trajectories Effective for Training Terminal Agents?

Reference 46

Resolution
metadata mismatch
local_arxiv, observed 2026-08-07T04:45:37.154298Z

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=arxiv_source observed=2026-08-07T04:45:35.608134Z digest=sha256:f0c9927ac162adaac0ed2fbca4562abf20f5d05d000d947a14bc6699948123ca

Observation 815555d6-d032-4812-b9c0-5b5e21f1326c · outbound

This paper cites Immersion in the.

CalibForge: Adversarial Solver Calibration for Scaling Learnable Terminal Tasks Immersion in the

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:45:38.619261Z

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=arxiv_source observed=2026-08-07T04:45:35.689990Z digest=sha256:fe5f3971478b4be0694d7d04f7c65693de16c752c010e4a61f466f620bf0dc22

Observation 273c9ffc-a1f5-45b9-a04c-d2dc56e829cd · outbound

This paper cites DeNovoSWE: Scaling Long-Horizon Environments for Generating Entire Repositories from Scratch.

CalibForge: Adversarial Solver Calibration for Scaling Learnable Terminal Tasks DeNovoSWE: Scaling Long-Horizon Environments for Generating Entire Repositories from Scratch

Reference 48

Resolution
metadata mismatch
local_arxiv, observed 2026-08-07T04:45:36.886738Z

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=arxiv_source observed=2026-08-07T04:45:35.787230Z digest=sha256:650de929f2a42fd5c0bc5131cdfd33e821747c730dc8be1fa6ac9a9c6065139e

Observation 7eaafedd-21d2-4f0b-a812-35e39674592d · outbound

This paper cites arXiv preprint arXiv:2602.03411 , year=.

CalibForge: Adversarial Solver Calibration for Scaling Learnable Terminal Tasks arXiv preprint arXiv:2602.03411 , year=

Reference 49

Resolution
unresolved
no resolver link, observed 2026-08-07T04:45:35.877088Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T04:45:35.877088Z digest=sha256:a7dd45d94fd200bdd740597424579dd2dbfac741bbee1fdb5e0960a398362472

Observation 906c5490-dd7e-4809-90cf-e97da07d9857 · outbound

This paper cites arXiv preprint arXiv:2602.03419 , year=.

CalibForge: Adversarial Solver Calibration for Scaling Learnable Terminal Tasks arXiv preprint arXiv:2602.03419 , year=

Reference 50

Resolution
unresolved
no resolver link, observed 2026-08-07T04:45:35.970585Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T04:45:35.970585Z digest=sha256:c53ea964a26caeb6914f80d2f81f86c20a01155b011485d25c8cadaf6501f226

Observation 1253c198-d0cc-49a9-a0c1-a01aaae887f5 · outbound

This paper cites Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 3: System Demonstrations) , address=.

CalibForge: Adversarial Solver Calibration for Scaling Learnable Terminal Tasks Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 3: System Demonstrations) , address=

Reference 51

Resolution
unresolved
no resolver link, observed 2026-08-07T04:45:36.061384Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T04:45:36.061384Z digest=sha256:bcf3d66f75cb55262a82c1c6e1773270af9077a26cecefb6aac3bb5eba084863

Observation a2d16a4f-1b7a-49fc-ac98-c0fe26ce8e9c · outbound

This paper cites SETA: Scaling Environments for Terminal Agents.

CalibForge: Adversarial Solver Calibration for Scaling Learnable Terminal Tasks SETA: Scaling Environments for Terminal Agents

Reference 52

Resolution
metadata mismatch
local_arxiv, observed 2026-08-07T04:45:36.410580Z

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=arxiv_source observed=2026-08-07T04:45:36.149040Z digest=sha256:0a1ad976661285ea37be8ca28341c8d4b24b28d3d2b7d2f1ffbb37a53f9207ad

Observation 60ef275e-6f32-4aa2-a004-a37230fb5585 · outbound

This paper cites an unresolved cited work.

CalibForge: Adversarial Solver Calibration for Scaling Learnable Terminal Tasks Unresolved cited work

Reference 53

Resolution
parse uncertain
no resolver link, observed 2026-08-07T04:45:36.209787Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T04:45:36.209787Z digest=sha256:28f2e113161c8c6d930dc5ac10fddf20fc5b0f0693dd7faef8ee16cb88a5f3e7

Pith citing papers

No inbound Pith citation observations are available.