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Paper Citation Record · LEDGER

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

As of 16 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 2026-08-15T06:32:42.880941+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=sha256:771a3eb444bbee25fe396102a4e3c5757cf56271aecbf0306ae171278fa3859f

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=sha256:609da390958a91b6302307d1885abc389c6f0fa43c7a21c8dd9f1de907a2c51e

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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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T04:16:42.206975Z digest=sha256:57cd4ba594396ca8218ab6043d4a3fbdc1b7131ff7a717322e583c7301cb5ba4

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 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-06T04:16:42.300891Z digest=sha256:11db3e820d105bb57cc7aa2230089e5f3baac1f172c6f6db7f31f77f86a541a9

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=sha256:8bbe2f4ab2eb6f04de781d10f3215b4de2522d3deb2b925cb2198cbc4619fc27

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=sha256:3d5ed1a75ed98179ef791254144e2ffc6331adccc356be30be09d74a7b4b893d

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

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T04:16:42.632949Z digest=sha256:2343f3d3a9defd7c3b41a5cb2f8f848ebea2eebaea57b04ce55778add04d6534

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:dee664e62478e9b1f4f4dd8322ec7f266a55bfbae869a4df35f323bb27e50563

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=sha256:56adb74e11b1e3e9d4b6fcb3ffadf085a47de968af30aaba5feac2b12fcfb3bf

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 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-06T04:16:43.060880Z digest=sha256:b3040131dee75e57b1e59592f21b15623f27e62f2a399f75cd01e94a6623a8d7

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=sha256:1c1e2cbc26a4e09d937cd93bd866124d0018c4fb9b6b8edd7d453521e7ac8e99

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:f2c7d6a01f07550285c032f6b4d0a961a138bd8a6244045f6fb48172408bf7f1

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 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-06T04:16:43.437633Z digest=sha256:7177cc42e3920f3e19dd21872ab1013cd6bcc33b52bbb3cf7e8f81be2a1a01dd

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=sha256:0ccd36c2baa1603c772b0205f02899d21fe4af7e9a9e02d2b96c36bbcee92cdd

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=arxiv_source observed=2026-08-06T04:16:43.619081Z digest=sha256:9ea59c715d44742ca9a30ff053ec6f78ce983756935c892d4a95332384f7a5b0

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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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 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-06T04:16:43.734243Z digest=sha256:0e550f20ac185bd03a3b08e1d8b7c5bec19a1d2874f551c75bbf038bb38d13e8

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 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-06T04:16:43.892610Z digest=sha256:3ca7ec80471bc24dc82acec9b6e29438ca8c139846873e5bfa6ff79715be882b

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=sha256:159cdd6de6e6dd55606d2a48b0835e13afba75a166c5778d1917cfcabf77ce3a

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 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-06T04:16:44.062795Z digest=sha256:43f06908b12e5a1796a16043e0caeab1f3fd3ba3f5526db500850e81c4db5948

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=sha256:11775183b3c2b0329a85576e95be853f6839505a2c2658ac622e883cbe83b1db

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:d4c17492631289482d4e6fef5cdb890eb877328df27977d27bea77e237f2b2ba

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=sha256:02ae59b8999d3744c6f89b8d119e5b4916e048d80842c9d133bb3ab720a4af9a

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=sha256:85e0960e2f60dfefed79ce064bd8b64c8068bed7ce2fa4ff83568589b933bfce

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:e9bfbaca401f2e62b38b900c8bedfe4bb0eddc722e69f6ec86aeecba976d7fd6

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=sha256:49cbbfc0a232d6f6d467845a61e6ce6c3d1b3def10e4cfd7267428b904824bec

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:e7eddc935de2104a29e4d38b3d57cdf88d7173e41b7740d7abe14fc9763bf6f1

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=sha256:1d130e677147205320aa32d0057f6e7db3d36ef20591883974efa674a9088da0

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:b4ece529061597c7fd8bcf27bb78b8df5bf34c3a05e76ed9efb25a09f5a55e71

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=sha256:67a9f76331415f3f1793bba7aa16574d7fc5751a77f11d92ed95613a1c24dab0

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=sha256:9ea2ea80aa913e60a5d167a028965bd26afd9118ba4a7e28e2a011c086bc0748

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:db1dac3b24e8546d1ec47b1cbbb7d77297a345de3a2dc66b153dd06922cde126

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=sha256:1cd0c8898c26a9e5985714d363e253e8e548bb9414e4e6cb7497d39f2df6e765

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:debbb14cffd17c05a1564ed9a3a593b27c08b614f1b0d537900fdbe4b0096016

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=sha256:39cbbc6a81b21b26acc37ede9ecf9115a339086ffddceb57c85d36fce5226e84

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=sha256:9081554392165e6558a96431b36e64fe596dcc0a7960bd92c45a75bd01068703

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=sha256:68cb385fd300c0238133712ab0c96a78e2895756603b22e1537f8d079d2052d7

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=sha256:5d3302530c8dbacf002bbc6814e4d17aa64d955e16150bc4e0d658f9080ae424

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 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-06T04:16:45.849553Z digest=sha256:7be3403859c0ab501ab4e08e22c730f61dcdfe856b3bffcca108ebd3a8be7f1d

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:ea16adb8e20f952bb1eaa28b5e3ac034671ccd520501fde78d9199253b72a8a6

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=sha256:02ac1bb4da6f62f8a7297412d5db60b77921f0d916e3a26c3997edc0b3acf521

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=sha256:6b8011214f3127b2a341b97b7f7202b8f939666845098939062da93cd65f5d17

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=sha256:149cfa9b6cc7b85c879b8c1c0c9cba21e559eadf49b1253aa4429a719d8a590d

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 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-06T04:16:46.354600Z digest=sha256:a793fc4eebf9057f75d82299dbc4e9c13f14bf4d575ef3f1d8d9c8737c3ee920

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 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-06T04:16:46.442489Z digest=sha256:368e77a80bb6de830b6bd4ba2d0285c6a7c83eb36df5e3d56de63b571e355bdd

Pith citing papers

No inbound Pith citation observations are available.