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Paper Citation Record · LEDGER

Argus: A General-Purpose Agentic Runtime for Long-Horizon Reasoning

As of 7 August 2026, this Paper Citation Record lists 44 of 44 outbound references and 0 inbound Pith citation observations for arXiv:2608.05144.

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

pith.paper-citation-record.v1
2608.05144 v1

Coverage vector

measured 44 of 44 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T04:16:46.442489Z

measured 44 of 44 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+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

44 of 44 outbound references displayed

  • verified exact0
  • verified fuzzy5
  • unresolved36
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch3

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 7728237d-938e-4de1-ba17-209cedfaa09d · outbound

This paper cites ReAct: Synergizing Reasoning and Acting in Language Models.

Argus: A General-Purpose Agentic Runtime for Long-Horizon Reasoning ReAct: Synergizing Reasoning and Acting in Language Models

Reference 1

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T04:16:42.008787Z digest=sha256:83a53e277e00c5bf66933db8f0720efbc257872a8687f97dddd477d257fa1869

Observation b0ed54d6-e60a-49d4-b4af-c610b63b7425 · outbound

This paper cites Reflexion: Language Agents with Verbal Reinforcement Learning.

Argus: A General-Purpose Agentic Runtime for Long-Horizon Reasoning Reflexion: Language Agents with Verbal Reinforcement Learning

Reference 2

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source=arxiv_source observed=2026-08-06T04:16:42.120467Z digest=sha256:4b854da55fbc7ec304c0bfbe52aaaabf3b618735ae664e6725f3118ade2766f4

Observation 6dc23377-cd24-4c16-bc31-c808287e566f · outbound

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

Argus: A General-Purpose Agentic Runtime for Long-Horizon Reasoning Voyager: An Open-Ended Embodied Agent with Large Language Models

Reference 3

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source=arxiv_source observed=2026-08-06T04:16:42.206975Z digest=sha256:cebb9f4345a524efe0824cefaff96546224812cbcc33bc5ee28fcc3b1cf10b84

Observation 10b58fb0-18c4-4df4-b0c1-65a94bcad06a · outbound

This paper cites Toolformer: Language Models Can Teach Themselves to Use Tools , journal =.

Argus: A General-Purpose Agentic Runtime for Long-Horizon Reasoning Toolformer: Language Models Can Teach Themselves to Use Tools , journal =

Reference 4

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verified fuzzy
raw_fallback, observed 2026-08-06T04:16:48.525306Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T04:16:42.300891Z digest=sha256:c30cb0655787455ff911752d703e48d4efbdbf37ba686ed3429f1d20de4b37da

Observation 6da1164d-6c59-4160-8013-f469747f1e9e · outbound

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

Argus: A General-Purpose Agentic Runtime for Long-Horizon Reasoning Generative Agents: Interactive Simulacra of Human Behavior

Reference 5

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source=arxiv_source observed=2026-08-06T04:16:42.391721Z digest=sha256:2fa520dcc814a795cf7a807cdd24c9a4c103b42f8435ca54c0624449a4e5726f

Observation d0745e85-4c48-4dac-b0b1-2356bbad03d0 · outbound

This paper cites MemGPT: Towards LLMs as Operating Systems.

Argus: A General-Purpose Agentic Runtime for Long-Horizon Reasoning MemGPT: Towards LLMs as Operating Systems

Reference 6

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source=arxiv_source observed=2026-08-06T04:16:42.474350Z digest=sha256:06886ae2f0f4b7c00e59abb3c4fe3591be94934480e7f7f0333996aa39ce326f

Observation 7a259706-caa9-4f2f-a4f7-f17964c06837 · outbound

This paper cites Agent Workflow Memory.

Argus: A General-Purpose Agentic Runtime for Long-Horizon Reasoning Agent Workflow Memory

Reference 7

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source=arxiv_source observed=2026-08-06T04:16:42.632949Z digest=sha256:50f16f6747b80d6a663f02a3870e4dcf02e5a6965c286d00610599899c55ac08

Observation 5357fb13-54b5-49ac-bc3e-e21d2c98a5e7 · outbound

This paper cites Let's Verify Step by Step.

Argus: A General-Purpose Agentic Runtime for Long-Horizon Reasoning Let's Verify Step by Step

Reference 8

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source=arxiv_source observed=2026-08-06T04:16:42.812528Z digest=sha256:2fd5bd9b71f993e2f41d0817a63204e63b4db3be22ae669ee04f3a3e511bcfba

Observation 8efa2317-1ec4-46c2-9ec0-e0898aeada8b · outbound

This paper cites Scaling LLM Test-Time Compute Optimally can be More Effective than Scaling Model Parameters.

Argus: A General-Purpose Agentic Runtime for Long-Horizon Reasoning Scaling LLM Test-Time Compute Optimally can be More Effective than Scaling Model Parameters

Reference 9

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source=arxiv_source observed=2026-08-06T04:16:42.939540Z digest=sha256:ade3fe878bdf2154d6c090f6e6adf380c0ce0d8fd4013d72eb5176ea299eda39

Observation 1f5799d2-effa-47ad-9db3-0f2a8a110c17 · outbound

This paper cites The Annals of Mathematical Statistics , volume =.

Argus: A General-Purpose Agentic Runtime for Long-Horizon Reasoning The Annals of Mathematical Statistics , volume =

Reference 10

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T04:16:43.060880Z digest=sha256:959e9f7284f08d7288333cee9a87acfe6eda6061b2644f38be9731a45b6daf78

Observation 2fead38d-4e8f-494d-a5a0-66acd05cf121 · outbound

This paper cites ResearchAgent: Iterative Research Idea Generation over Scientific Literature with Large Language Models.

Argus: A General-Purpose Agentic Runtime for Long-Horizon Reasoning ResearchAgent: Iterative Research Idea Generation over Scientific Literature with Large Language Models

Reference 11

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source=arxiv_source observed=2026-08-06T04:16:43.215897Z digest=sha256:e489710cbaea5758d4c4ee76869c703deb56ef5916f1792d5b9e555d205ad0dd

Observation a67b14c3-206d-4b45-89f3-9ee98911f137 · outbound

This paper cites SciAgents: Automating scientific discovery through multi-agent intelligent graph reasoning.

Argus: A General-Purpose Agentic Runtime for Long-Horizon Reasoning SciAgents: Automating scientific discovery through multi-agent intelligent graph reasoning

Reference 12

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T04:16:43.329573Z digest=sha256:f8480229dd25e8ea090985be419fc9bd4f5a6745f1fa51df3452718df45a142e

Observation 233fc431-a633-45e8-a40f-3a1740152cb4 · outbound

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

Argus: A General-Purpose Agentic Runtime for Long-Horizon Reasoning International Conference on Learning Representations , year =

Reference 13

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T04:16:43.437633Z digest=sha256:02b646105e83607d52cfc24dfa13ec7c9cb08b7bf8af90106b8d115aff185f9d

Observation ca345865-f6c8-42ea-9336-ddfa1559ba88 · outbound

This paper cites Towards an AI co-scientist.

Argus: A General-Purpose Agentic Runtime for Long-Horizon Reasoning Towards an AI co-scientist

Reference 14

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source=arxiv_source observed=2026-08-06T04:16:43.537955Z digest=sha256:d48788b96c30616fc95518aafb7e9297f2a378cfaaeb93ddde61647b1dc3264c

Observation 69812d4c-0b39-4af5-8f23-874732b0d662 · outbound

This paper cites AgentRxiv: Towards Collaborative Autonomous Research.

Argus: A General-Purpose Agentic Runtime for Long-Horizon Reasoning AgentRxiv: Towards Collaborative Autonomous Research

Reference 15

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T04:16:43.619081Z digest=sha256:06da5532a1c0736c9903b104c7f8f4adf1913505d117c59a74a08f981d79e906

Observation c2c3343f-d9fd-420f-90ec-0c19cead1bdc · outbound

This paper cites AutoSci: A Memory-Centric Agentic System for the Full Scientific Research Lifecycle.

Argus: A General-Purpose Agentic Runtime for Long-Horizon Reasoning AutoSci: A Memory-Centric Agentic System for the Full Scientific Research Lifecycle

Reference 16

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metadata mismatch
local_arxiv, observed 2026-08-06T04:16:47.351953Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T04:16:43.734243Z digest=sha256:073edb590a63a04e6cde4bb1dfcf6945cc506c4e41e19b2c77e6113112daf56a

Observation 94739ef2-6069-48a4-9242-f0af47e75667 · outbound

This paper cites FARS: A Fully Automated Research System Deployed at Scale.

Argus: A General-Purpose Agentic Runtime for Long-Horizon Reasoning FARS: A Fully Automated Research System Deployed at Scale

Reference 17

Resolution
metadata mismatch
local_arxiv, observed 2026-08-06T04:16:47.208278Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T04:16:43.892610Z digest=sha256:e5fdcb7ad98e1a9235c40f687a489aac18bf4fdc07a93378af986da1881eba69

Observation 5775cd74-2a9f-417e-b132-8defa232c3bb · outbound

This paper cites AgentInstruct: Toward Generative Teaching with Agentic Flows.

Argus: A General-Purpose Agentic Runtime for Long-Horizon Reasoning AgentInstruct: Toward Generative Teaching with Agentic Flows

Reference 18

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source=arxiv_source observed=2026-08-06T04:16:43.996108Z digest=sha256:7e0038cbf7149a7d7cef7a88cb69f102e8b9cb416c137e709264a8bff5ffbe17

Observation 2da6d3a6-abb4-45ba-aee2-aab77b421df3 · outbound

This paper cites Findings of the Association for Computational Linguistics: ACL 2024 , pages =.

Argus: A General-Purpose Agentic Runtime for Long-Horizon Reasoning Findings of the Association for Computational Linguistics: ACL 2024 , pages =

Reference 19

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raw_fallback, observed 2026-08-06T04:16:48.009692Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T04:16:44.062795Z digest=sha256:c2f1258f1ed40b78d7b30578773e89d9e7634e09b7a898f316d2dbca61ffbaa4

Observation 626ed6e3-f6cf-46fa-98f5-9f5becf81f10 · outbound

This paper cites Agent Lightning: Train ANY AI Agents with Reinforcement Learning.

Argus: A General-Purpose Agentic Runtime for Long-Horizon Reasoning Agent Lightning: Train ANY AI Agents with Reinforcement Learning

Reference 20

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source=arxiv_source observed=2026-08-06T04:16:44.178281Z digest=sha256:8c16542a1341c76f5fe0a72497873af6da5d3cb503025da41bbe42a7e2e5f04f

Observation 645c7730-18cf-42fe-b224-c95c896ba9b1 · outbound

This paper cites A-MEM: Agentic Memory for LLM Agents.

Argus: A General-Purpose Agentic Runtime for Long-Horizon Reasoning A-MEM: Agentic Memory for LLM Agents

Reference 21

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source=arxiv_source observed=2026-08-06T04:16:44.289588Z digest=sha256:de66c04049daa203493b573e0fb72c5e2fb1c03ba6a6144c4bbf5b7a1c07ea84

Observation e281f720-331d-44bc-a452-3b45a3d806d4 · outbound

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

Argus: A General-Purpose Agentic Runtime for Long-Horizon Reasoning SWE-agent: Agent-Computer Interfaces Enable Automated Software Engineering

Reference 22

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source=arxiv_source observed=2026-08-06T04:16:44.404171Z digest=sha256:156f246e1c049d1c1935283cec30a612c5be6790c3d77486501c5d54c9f5d9d0

Observation e55c77ac-de7f-48dd-8ac3-b3fc094ca2a2 · outbound

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

Argus: A General-Purpose Agentic Runtime for Long-Horizon Reasoning OpenHands: An Open Platform for AI Software Developers as Generalist Agents

Reference 23

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source=arxiv_source observed=2026-08-06T04:16:44.500174Z digest=sha256:dbfb84002135f3c46bfdd800158e0ead8c22d1ab07ad1d37c7776bb7ca837896

Observation 2477d327-1c1c-4203-9e58-8e1b045664b5 · outbound

This paper cites SWE-bench: Can Language Models Resolve Real-World GitHub Issues?.

Argus: A General-Purpose Agentic Runtime for Long-Horizon Reasoning SWE-bench: Can Language Models Resolve Real-World GitHub Issues?

Reference 24

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source=arxiv_source observed=2026-08-06T04:16:44.597306Z digest=sha256:d943a97e5bb4454ee0bc5c0e28c6d260e713859f0f9c11e46f1e99bbd51ebf8a

Observation 734344b5-79b3-4e70-8471-7d00b379758d · outbound

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

Argus: A General-Purpose Agentic Runtime for Long-Horizon Reasoning SWE-Bench Pro: Can AI Agents Solve Long-Horizon Software Engineering Tasks?

Reference 25

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source=arxiv_source observed=2026-08-06T04:16:44.710092Z digest=sha256:3ded2cf7cb71508517298cbe5436a42883eab0dbfd6c7fa93d882da35c1eab28

Observation 3d373417-3aad-4d75-9445-206e6a2ce965 · outbound

This paper cites AgentBench: Evaluating LLMs as Agents.

Argus: A General-Purpose Agentic Runtime for Long-Horizon Reasoning AgentBench: Evaluating LLMs as Agents

Reference 26

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no resolver link, observed 2026-08-06T04:16:44.785385Z

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source=arxiv_source observed=2026-08-06T04:16:44.785385Z digest=sha256:92023a08aa9e72f09b31d78669253bb12c6f740560c272f71231806b16d0b9b0

Observation b9eb8009-1da9-4cfd-b2d0-f72eff0b0898 · outbound

This paper cites AgentBoard: An Analytical Evaluation Board of Multi-turn LLM Agents.

Argus: A General-Purpose Agentic Runtime for Long-Horizon Reasoning AgentBoard: An Analytical Evaluation Board of Multi-turn LLM Agents

Reference 27

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source=arxiv_source observed=2026-08-06T04:16:44.867963Z digest=sha256:0ecca48ca94a0da2dd2694d0cd763986c41cf31619d2a6551e2fab01b64afc0a

Observation c760bcd2-b3f8-4c61-be0e-92f4e713c15d · outbound

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

Argus: A General-Purpose Agentic Runtime for Long-Horizon Reasoning Measuring AI Ability to Complete Long Software Tasks

Reference 28

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source=arxiv_source observed=2026-08-06T04:16:44.946906Z digest=sha256:44fa3623bcc45b8bf97ae4bac073f7c8e80af68a7b2cf5056dfb5ab984160226

Observation 6c97ac52-4a34-48dc-beb3-6a41a9517603 · outbound

This paper cites The AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery.

Argus: A General-Purpose Agentic Runtime for Long-Horizon Reasoning The AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery

Reference 29

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no resolver link, observed 2026-08-06T04:16:45.031241Z

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source=arxiv_source observed=2026-08-06T04:16:45.031241Z digest=sha256:01bd6337c14a8fbcc96d939ba803113d35e5bfa99df5219f906a5eff8ef03c2a

Observation 39d4fc5e-3c69-412e-8029-174cbfd1904e · outbound

This paper cites Agent Laboratory: Using LLM Agents as Research Assistants.

Argus: A General-Purpose Agentic Runtime for Long-Horizon Reasoning Agent Laboratory: Using LLM Agents as Research Assistants

Reference 30

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source=arxiv_source observed=2026-08-06T04:16:45.145552Z digest=sha256:1fe394c39d556cd7e48a78ae5aa3aab5d5bf3127ab83880a83bde91bc7bc7abd

Observation 8baffe79-fb05-45cd-978e-8111b63fe3c2 · outbound

This paper cites AIDE: AI-Driven Exploration in the Space of Code.

Argus: A General-Purpose Agentic Runtime for Long-Horizon Reasoning AIDE: AI-Driven Exploration in the Space of Code

Reference 31

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source=arxiv_source observed=2026-08-06T04:16:45.240882Z digest=sha256:1264bb3b3cc2ff1533b3754e24eb963896c2367c40751f3e663abd8286b97eb9

Observation 483d37ab-93ba-4ec5-bb4f-c6556b9da3d6 · outbound

This paper cites The AI Scientist-v2: Workshop-Level Automated Scientific Discovery via Agentic Tree Search.

Argus: A General-Purpose Agentic Runtime for Long-Horizon Reasoning The AI Scientist-v2: Workshop-Level Automated Scientific Discovery via Agentic Tree Search

Reference 32

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source=arxiv_source observed=2026-08-06T04:16:45.321179Z digest=sha256:cd84c728fd963811948dc2355b1cf27399ab441329edb0e1150d4c768038209e

Observation 0bcf516a-9833-4daf-baf1-363814e622b6 · outbound

This paper cites Nature , volume =.

Argus: A General-Purpose Agentic Runtime for Long-Horizon Reasoning Nature , volume =

Reference 33

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source=arxiv_source observed=2026-08-06T04:16:45.405029Z digest=sha256:d12afb5ad30066d77ed2a43b56e92b17c019ba5dcc54717146117287813facd1

Observation 022880df-5469-440e-95f4-727281272918 · outbound

This paper cites AlphaEvolve: A coding agent for scientific and algorithmic discovery.

Argus: A General-Purpose Agentic Runtime for Long-Horizon Reasoning AlphaEvolve: A coding agent for scientific and algorithmic discovery

Reference 34

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source=arxiv_source observed=2026-08-06T04:16:45.487827Z digest=sha256:3b572c51090b50bad63c137a57271eba3b6fae63e24950b2f2f8be5c815b8fb4

Observation 8b945044-d743-49b5-93fd-3ae122b7c994 · outbound

This paper cites Toward Generalist Autonomous Research via Hypothesis-Tree Refinement.

Argus: A General-Purpose Agentic Runtime for Long-Horizon Reasoning Toward Generalist Autonomous Research via Hypothesis-Tree Refinement

Reference 35

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source=arxiv_source observed=2026-08-06T04:16:45.584075Z digest=sha256:868149a4e39ac443803f24746211fd4d06cb300ed27326758b4070d5d76b235d

Observation 83fec02b-89fc-49f2-a97b-945ce0605378 · outbound

This paper cites MLE-bench: Evaluating Machine Learning Agents on Machine Learning Engineering.

Argus: A General-Purpose Agentic Runtime for Long-Horizon Reasoning MLE-bench: Evaluating Machine Learning Agents on Machine Learning Engineering

Reference 36

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source=arxiv_source observed=2026-08-06T04:16:45.666546Z digest=sha256:1e6a6f8764e2a545b6636d35a9a3e75f083e5edf641079e2ed9cd0888a1223c2

Observation a0cc8a4e-0e7d-46b8-a1fd-d9b77f400289 · outbound

This paper cites RE-Bench: Evaluating frontier AI R&D capabilities of language model agents against human experts.

Argus: A General-Purpose Agentic Runtime for Long-Horizon Reasoning RE-Bench: Evaluating frontier AI R&D capabilities of language model agents against human experts

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-06T04:16:45.749872Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T04:16:45.749872Z digest=sha256:1b1ff10b89772ae8585c6a8e894df65205cc8edf904f0798f75f195137e52c7c

Observation b4024dff-6931-4836-80aa-5042c62e4aac · outbound

This paper cites Act As a Real Researcher: A Suite of Benchmarks Evaluating Frontier LLMs and Agentic Harnesses in Research Lifecycle.

Argus: A General-Purpose Agentic Runtime for Long-Horizon Reasoning Act As a Real Researcher: A Suite of Benchmarks Evaluating Frontier LLMs and Agentic Harnesses in Research Lifecycle

Reference 38

Resolution
metadata mismatch
local_arxiv, observed 2026-08-06T04:16:46.797916Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T04:16:45.849553Z digest=sha256:6545b59746f0f6f42b4f07df9050af92b182be411f6f9092c43775b5e30b5846

Observation 648725e7-c271-47d4-aa84-e8542d213462 · outbound

This paper cites arXiv preprint arXiv:2602.06855 , year =.

Argus: A General-Purpose Agentic Runtime for Long-Horizon Reasoning arXiv preprint arXiv:2602.06855 , year =

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-06T04:16:45.952087Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T04:16:45.952087Z digest=sha256:bd2d6fb59afb4c90b75f992bae575bc9ef9ae6f41c9f222392bbe964fa875726

Observation 5dfc0777-6ed4-4079-995f-d7dae761f09a · outbound

This paper cites arXiv preprint arXiv:2603.19173 , year =.

Argus: A General-Purpose Agentic Runtime for Long-Horizon Reasoning arXiv preprint arXiv:2603.19173 , year =

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-06T04:16:46.067037Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T04:16:46.067037Z digest=sha256:fe12288d4c3aad5ee1e45d1cf76bce51a470cea43082cc4a6e878fc7821f9a45

Observation 0c4d7a86-123e-4df1-a766-1cc07eee2bef · outbound

This paper cites 2025 , howpublished =.

Argus: A General-Purpose Agentic Runtime for Long-Horizon Reasoning 2025 , howpublished =

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-06T04:16:46.159958Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T04:16:46.159958Z digest=sha256:0eaf82f0a39970c7654f92ac6524fa439a718b5cd53d9bbfe760be97ea5d6ceb

Observation 7c195a7a-5e6b-40e0-9710-7cab1eb151c9 · outbound

This paper cites 2026 , howpublished =.

Argus: A General-Purpose Agentic Runtime for Long-Horizon Reasoning 2026 , howpublished =

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-06T04:16:46.248016Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T04:16:46.248016Z digest=sha256:e6aaf24e4e439f9a417a476b8c2ee213ddbe4b9306a3e111a9189c884b578bdd

Observation b7323663-3ed9-4dc2-a04d-340e7bf85e8a · outbound

This paper cites 2024 , howpublished =.

Argus: A General-Purpose Agentic Runtime for Long-Horizon Reasoning 2024 , howpublished =

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T04:16:47.826200Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T04:16:46.354600Z digest=sha256:a6a34a9af2f82455f0a7593423ca3a39bfbc26f259f6484f1cb625dea613fed8

Observation 0ed5da99-4b71-481f-8afb-634b4f6da8f4 · outbound

This paper cites an unresolved cited work.

Argus: A General-Purpose Agentic Runtime for Long-Horizon Reasoning Unresolved cited work

Reference 44

Resolution
unresolved
raw_fallback, observed 2026-08-06T04:16:47.607222Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T04:16:46.442489Z digest=sha256:46ba5711accfd8879c47029bf9f99fd52805809bf0fd197802313ff8444a8ffa

Pith citing papers

No inbound Pith citation observations are available.