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Paper Citation Record · LEDGER

CalibForge: Adversarial Solver Calibration for Scaling Learnable Terminal Tasks

As of 9 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 2026-08-09T06:31:02.800959+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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no resolver link, observed 2026-08-07T04:45:30.368016Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T04:45:30.368016Z digest=sha256:e58128c2330c53155a7ac59c119c34d46d5ab3becaa8ec2c3bb26a8b7f909d21

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=sha256:9d29838491e0575ce25ffc579e01da7274b5fa4d6783f0e38ec31f00095725bd

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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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=sha256:90d1b4e95f041b70aa50ffb1629eb1acefe49f652ac78b81805e21863b9fd61a

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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unresolved
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=sha256:7fa3643e01657ddbd588b5aa18990bc710cdc9ee5e87e790e3806d34017a367c

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=sha256:6be7cbbabfd199fd46ddbce3cf70d3c6f329199f6ad615501db1f92302b98e7d

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:b99cfc859490b35233054b91405233f73590a0c8b5588a96c819f6eaeaedd200

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-07T04:45:30.759106Z digest=sha256:59c9461ec426862dd3d72b0c45827d20d7955d39999169136531cb8b6bdd2000

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=sha256:7cdf06e1999fcef35f94f0cb8f0d81a9351f1da67087b7336eca7c66daa810e4

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

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T04:45:31.005206Z digest=sha256:6f1ab72000c017e1b29636e22555e9d97b8316d1b5e94e5714b241cf3b5b84cb

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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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=sha256:8487fe49ebd59b975ae11faab03e1fe79764bf813121ad9405d681a30444dc08

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=sha256:02921f6b54efcd57e012ec770f7847022d91db2e67a1916ac7c09abb3f320aa4

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

Resolution
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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-07T04:45:31.327608Z digest=sha256:ae88d074618752e77dec91d8b5bce5309bd7f05af0b1a6b000933016237f7260

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-07T04:45:31.431466Z digest=sha256:5f84806067af7dd4e969953777f577d6e26c1bc166667e2155d6758fb407c7c4

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=sha256:1a8816fb1a9abe8f86170c1c246a0c4c50846ebb22f703595467da3cbb56d505

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

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source=arxiv_source observed=2026-08-07T04:45:31.659747Z digest=sha256:4559e7ef49df84015e0a5173845111e038bbdb303e687639edd80b6fce27ca3a

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-07T04:45:31.766099Z digest=sha256:b7e09220b88cb0d7e3a1224c722728e5b72187e812e530f5af1182dcaf520c95

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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source=arxiv_source observed=2026-08-07T04:45:31.874301Z digest=sha256:dd3ca1f15e7360571f8436ea99e89621b2fb8120fe13c53460a25670e4bf0b4b

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

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T04:45:31.984167Z digest=sha256:1477761daf71d381523b554fe7e65784e67eacf205f3d9c0ed747903f67a4410

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:ec48c0493f43a92d3eb707f99cc6c8f4d3924524193360d65d5ab5df897accef

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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source=arxiv_source observed=2026-08-07T04:45:32.214170Z digest=sha256:021fc9fa85b1b050467dea691d113377676ca0d172952a2ed0ed60aed3c16d48

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T04:45:32.315481Z digest=sha256:185c7627f748220508d7d8117ec475a5cc44c53fe931ba8d4137054a6f4dfa51

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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source=arxiv_source observed=2026-08-07T04:45:32.412763Z digest=sha256:98d498820fff3f84ed8ea9c72deb397f458d22a571938042acf9b48ba83cc911

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=sha256:3e3a529b41cf2dfdf7e995168e7918df09e332e5c8a6bea5035397688e57e9e2

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

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T04:45:32.688630Z digest=sha256:73f791a13d81e1f9edef2526254cadc3bf9ef1b4ff16462f5130c5fb5f39d8da

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-07T04:45:32.850600Z digest=sha256:0500619cfed8d3f414e532acccbef85f65347dc6b90962bc9ec348eb358472c6

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-07T04:45:33.030203Z digest=sha256:90d21a87c246f9388ee610acbb947c3fbea09484e558fcdbda704390b06c45a0

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:a323a3f426b812800ded3fff206c48e015de631662f50e996628eece64a7e8e4

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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unresolved
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=sha256:40f59cb712f7ac261f9607d3ce3c67cbf662f8e502dc0c6915dff32598fa7d21

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=sha256:1d80df269956a82c8d2a5e051d7188691fae53631302cbf70a79b493ab79d2fc

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=sha256:0f9ac41a40fc9420df628ab375afd92bc82e606cd91276767abe78779510ec19

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-07T04:45:33.841808Z digest=sha256:a3bebe896344887a02bf020e375e9d66bc543d507573ac75f637dc94b1553aee

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-07T04:45:34.036598Z digest=sha256:70a903d5f714af1cd7fd0f738f8bb1d4e4ebb35494ff6e67cb824f5d1aa78a07

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:a13d3f0b76eb93b3c0deabf537483a2de7e26b9939e8f32fa1f277a33fc46e1b

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=sha256:0b5b66d92c224db4ba83d64318f55ff25681871972e538f9282190a8122495cb

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-07T04:45:34.453999Z digest=sha256:836678c04f2b0a9eb3d87fbc97eac86ee1ca1b5bdf09d20579ca71697e3328e2

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

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T04:45:34.574781Z digest=sha256:daf67a710553b16f1d0c0220612531ba8984836880b731e2ba0a6852e0ef6b63

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

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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:e73d342ea376dfe991f650ca5a5f9c30b16c06013ff3651fe4a96893d9b3e148

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-07T04:45:34.815423Z digest=sha256:19496f44237a7008addac0abd95bc0a891a3e74c0f4519198481de398f61d5ec

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-07T04:45:34.885413Z digest=sha256:11fbe7b401a5e620e7505fabb69d9c40035b7b0b619e3954925c281b56fef1a9

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:c1111e5643353b93081b935d2de8c29f124e96421fca19098b62056a4fa68e70

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-07T04:45:35.074893Z digest=sha256:ae82e24f71a6ebcd37a3d190e130e590076c755dc73c9ed7058e3738af40a17d

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-07T04:45:35.202876Z digest=sha256:43115cfe833a6bb0f805968317157d2e34fb5a5e5379d73457107f5915909dcf

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-07T04:45:35.325371Z digest=sha256:ef277bd2805e25ce8cd744f789e75d2091e63ecfe41561130ab97f753d0cbc63

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-07T04:45:35.432159Z digest=sha256:f48b8a85472d6b9eaa84d30ef83bd0a53e524c49cb029aeba1248e0e04c71b7a

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-07T04:45:35.538988Z digest=sha256:48654c046b052c4c22dcfe507c691e0e7be50605918db9b68a9a7162d33db1bb

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-07T04:45:35.608134Z digest=sha256:0099dea0f9cc3587b2d97753600eacacb248f2e5f74abf12e2347db65de1208a

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-07T04:45:35.689990Z digest=sha256:1f09cb48bfcee18be2a75c16c7e0279859173d98e93a1c61819ad566579ad955

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-07T04:45:35.787230Z digest=sha256:d0a7807710bb4d03dafc151aa03fabddbab46e5fd9af2415b1f240523a6e5962

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:d9c5579fe20ecff5e7ad159e7d3cb7ed7bed7c4afd8a44010e555d3ffcb47285

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:fcd21e3bd84d387225895851d225be709ddac34935131777ac501e77631f3c6c

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:de5e16721e2a2121588f9a2606d488d6612b6db4a3c2eb20bbb79f9f0be2e846

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-07T04:45:36.149040Z digest=sha256:994100a9e21ed6ade3b9241a293591e63abb53e675167acb99ace6f878210cec

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=sha256:68779f31c98106b2906defca03b27eb873dc63544f8b1b2068d4c2a3e0e93151

Pith citing papers

No inbound Pith citation observations are available.