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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:af0d824490d67d8303f5bf3814a11d8816da3c8bb2085518848bb468a7c30e69

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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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T04:16:42.120467Z digest=sha256:f6f28cfcf6a49bf71e90bf05523e29fffca35c55164b9add1bff1cfdc12be237

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-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T04:16:42.206975Z digest=sha256:baf154ab6579cabaad350b4a26a61fd17fc4a354005aad87b44f46355c45f7c4

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=sha256:62b17613cd4710089b668151433fc9b42949fd557ac8246a5bcfaae2289e230e

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-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T04:16:42.391721Z digest=sha256:2a015b1a8135af4a2193ae802e81b3b4df24ae704800eafd19e182d637083ca9

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-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T04:16:42.474350Z digest=sha256:6fb5c7f63e071e49cecdf225ab1e0d2f95edabd23bbe62ed4e09977cf36a3e74

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-reported events for the cited work

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source=arxiv_source observed=2026-08-06T04:16:42.632949Z digest=sha256:3b69e0643b73e6e96eea3eee05b5d80918adb970badceb391379f89f7e40ebad

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:da910bb3457eb09a28858f00794782e759a82e4ba3984ab2d7c45189cc2ab325

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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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T04:16:42.939540Z digest=sha256:21eec591b6d51f6529cef6b8cc45580c4c54f932fa2139f1535b0fe10fff7f73

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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raw_fallback, observed 2026-08-06T04:16:48.380810Z

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:a23a18170c9a6323de5bed0cec6b0eeded6a2bf3b77819e6e251aa111913a944

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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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T04:16:43.215897Z digest=sha256:a35156860e8ca40aa4752e65f5ff151eb97c32f4f2392b4a01e4f0a43eda07a2

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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source=arxiv_source observed=2026-08-06T04:16:43.329573Z digest=sha256:f334ad5dec3f884022fe7f2e8c891ab0c2f8090fb1e2fa270041469740c42b3f

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=sha256:5cdd3e4b0e882d79053751846a9482c0915a6a4a1cc96d8d02a0139e79d33897

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:b472f398ecc3f6eee4104be502d1aed423b694d7c710e12d36e5048612a24056

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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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T04:16:43.619081Z digest=sha256:d56cff8b2adec3aef35dce61e0689d57ca37c437cf627bcebc1bea6ef0386080

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=sha256:18bce958bb0382f7fe82f22cbbd708fb1ac7fd5bb09f1511e33c07617b56be08

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=sha256:193397512fec44d3f8fd738ae8d72cfe1f85cb3f9c1ac1252eb0ba0dd9aa2d50

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=sha256:1ef97523121e76228398f7d0835d97a109842777bad1c6273ba7878a3fc40ae5

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=sha256:1a943ea2b6725fc106a281524629577b5781b30c3cdea8e7d0e2fc94452d702f

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=sha256:75ce50598e80e5f52efdf1413f7fa453cf5c63d5191b92818129278e892d0525

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:f24cb443a59cef99992871ac5da6d27f395f627e9a9292f143182cb1d1211c5a

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=sha256:6d118a039fa09aa8c10bf29065e2190ab7e64cb20a1ec5ad667e72836bc228e5

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:d7371d3a84fd993aeac016801b5094458dd2dcef1b8d51d301cd6c736ca246c8

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=sha256:352e9553cb5d415c92fdb7df6a53ca9b65967ab39d58f71358d7a7d559f71f88

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:e1c1a890c775b9c5f2e361f30b004839fb245bd391fd9a33c95690a857d36f27

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=sha256:4f482102f94acf1d85a0de25384e30193d4b7f939b7a2c6b9cd94ab6f7c2bf25

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:effdd1a744fdb3abb6efa395e7362278639009da58d33e2d46f03d5d7eb35290

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=sha256:302e03c13444374dcbfb20e899792fbb07a266eaadc8532714d4a4ca4b504f56

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:fc991f75f9e17c4ecde6cc921ff8b1db3d9d2b5514667c42bcf111f05c8e7b75

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:df8686c2c231cef67727eaf21649140d745c9e27aae8f1234d7ff9c0fc252c2e

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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no resolver link, observed 2026-08-06T04:16:45.240882Z

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source=arxiv_source observed=2026-08-06T04:16:45.240882Z digest=sha256:49b115d8280283d380cf32b07b880fe0c1003c96fa557ee8e74cadae97b5f90c

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=sha256:32419f7bee7878223c32c10c0b46bebe15ab5a29ea222a7bf4efca2329314c50

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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no resolver link, observed 2026-08-06T04:16:45.405029Z

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source=arxiv_source observed=2026-08-06T04:16:45.405029Z digest=sha256:61994a2319734ea1fc301ecd6d929936170264dd71f0cea286e569d4993e0ec6

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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no resolver link, observed 2026-08-06T04:16:45.487827Z

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source=arxiv_source observed=2026-08-06T04:16:45.487827Z digest=sha256:fc5c60fef88b4cf4818a151cfca4dd37cb5fa7f56a71d107e2861a4b9ad8cbdf

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:b772cadd2e172084187ab908c4fba236892df01852d7e171743deca80a5d6481

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=sha256:2b3f0c246dafc69c2d4522c67b27c207d423ae82e2ebc2ed00283198e4e450a7

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:c1571c0b8a8065c869d40a2ff4f7f52724c7f2df6d2546ca6bcf05e14d12823f

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=sha256:1bde58217ad431683e2e3a7939131d0bf526ec3b3c5e705595ef5e39f06c28aa

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=sha256:37cb362d1b8efb3d3f1a60ee924027eb753cb14341c12420a584efe3538a0587

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=sha256:1e992bea375702f560fa2de14ac2792d9098f64debe573dcfd0f37f2a2de6b40

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:ab66653f079e3af8a929c19c1f3c403157f8f5741baac93cfd653a4bbe867b24

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=sha256:345a81d93585701d0c3b5ef1d455f61f200b4b18e8fadc0dfe6812d464d5405c

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=sha256:34963a5b287bf13d7e88bda5db1a15a04fd00fd3b76395546e9fa9fe0909c1bf

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=sha256:9b71307e1293366c0b859a02d3ee6af578951e22eae7dd3be7fe9f92a8931ade

Pith citing papers

No inbound Pith citation observations are available.