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Paper Citation Record · LEDGER

AgentTuning: Enabling Generalized Agent Abilities for LLMs

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 51 inbound Pith citation observations for arXiv:2310.12823.

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

pith.paper-citation-record.v1
2310.12823 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 51 of 51 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 51 of 51 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T18:53:02.089772Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-07-04T19:40:06.881010Z

Reference resolution

0 of 0 outbound references displayed

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External citation measurements

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Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation a6e4749b-cae5-44cf-aaf4-be3eeefea791 · inbound

Understanding the planning of LLM agents: A survey cites this paper.

Understanding the planning of LLM agents: A survey AgentTuning: Enabling Generalized Agent Abilities for LLMs

Reference 58

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arxiv_id, observed 2026-05-13T18:12:57.645858Z

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=pdf_text observed=2026-05-13T18:12:57.568144Z digest=sha256:b2ff2b549b73aa65c2a4da94d16431d10adf60ad5f154e0b1e2c54477ee9703f

Observation 90aa7c85-bff4-4804-905c-d901f6cea387 · inbound

WorkArena: How Capable Are Web Agents at Solving Common Knowledge Work Tasks? cites this paper.

WorkArena: How Capable Are Web Agents at Solving Common Knowledge Work Tasks? AgentTuning: Enabling Generalized Agent Abilities for LLMs

Reference 36

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arxiv_id, observed 2026-05-15T02:48:05.245826Z

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=2026-05-15T02:48:04.972868Z digest=sha256:81e4a1423dfa93fe11c72d893ce82f2978583a8a10a3d45e6d06ffa7c645fb32

Observation 8295c25d-dbbb-419b-9419-4ae2ae3af6bb · inbound

OS-ATLAS: A Foundation Action Model for Generalist GUI Agents cites this paper.

OS-ATLAS: A Foundation Action Model for Generalist GUI Agents AgentTuning: Enabling Generalized Agent Abilities for LLMs

Reference 127

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arxiv_id, observed 2026-05-13T09:29:27.522461Z

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-05-13T09:29:27.173784Z digest=sha256:c4f42028c4f2e06aebf3f810ccef12b77965663961a9be5a4d8e97e97a22e3c5

Observation 02ba4784-18e0-4174-9907-baceb8b6e259 · inbound

Implicit Communication of Contextual Information in Human-Robot Collaboration cites this paper.

Implicit Communication of Contextual Information in Human-Robot Collaboration AgentTuning: Enabling Generalized Agent Abilities for LLMs

Reference 22

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T18:04:24.047023Z digest=sha256:55cf568d5cf7462d7e65505e86355b55893abd83d63acd935ef2b8589dc0f498

Observation 97aee2eb-ff82-439a-8d43-3c209c1b7716 · inbound

InSTA: Towards Internet-Scale Training For Agents cites this paper.

InSTA: Towards Internet-Scale Training For Agents AgentTuning: Enabling Generalized Agent Abilities for LLMs

Reference 52

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T14:24:50.463527Z digest=sha256:a208e8249c8693c2237d4afafe8b84d932f4834b50d05c9894bd877ab7726556

Observation 4981e9e1-0e35-4790-817d-1e1059a38d25 · inbound

Process Reward Models for LLM Agents: Practical Framework and Directions cites this paper.

Process Reward Models for LLM Agents: Practical Framework and Directions AgentTuning: Enabling Generalized Agent Abilities for LLMs

Reference 48

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T18:39:37.978380Z digest=sha256:08d107b4052208096c886fe544a23e240c75160977b4125299cb86199485ed0a

Observation 57141278-17dd-4659-83d0-06b79b4d88e8 · inbound

Digi-Q: Learning Q-Value Functions for Training Device-Control Agents cites this paper.

Digi-Q: Learning Q-Value Functions for Training Device-Control Agents AgentTuning: Enabling Generalized Agent Abilities for LLMs

Reference 35

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T20:57:48.536594Z digest=sha256:ae8e2f210e5d3c4ce5d71806eb8bec4760ea23cabf99f9f2ebe2ce362bc72cee

Observation ecff61d7-1d9e-412a-9690-b05e78504694 · inbound

From LLM Reasoning to Autonomous AI Agents: A Comprehensive Review cites this paper.

From LLM Reasoning to Autonomous AI Agents: A Comprehensive Review AgentTuning: Enabling Generalized Agent Abilities for LLMs

Reference 42

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arxiv_id, observed 2026-05-15T02:57:38.246212Z

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=pdf_text observed=2026-05-15T02:57:37.873567Z digest=sha256:7f35703d41db2a0b8caf529c27e82933069e244b0e12a273008d3d7d76f9b10a

Observation 2bd62241-2885-47d5-8748-6821b11acc2c · inbound

The Unreasonable Effectiveness of Entropy Minimization in LLM Reasoning cites this paper.

The Unreasonable Effectiveness of Entropy Minimization in LLM Reasoning AgentTuning: Enabling Generalized Agent Abilities for LLMs

Reference 97

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arxiv_id, observed 2026-05-18T15:58:33.586511Z

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=pdf_text observed=2026-05-18T15:58:33.219451Z digest=sha256:52fae7894e97867bc211b7e08d27745e647121a9c20fca09603f955c71f6f894

Observation 4eca98ce-8d50-4895-9a5f-eb59a07aa06b · inbound

Effective Reinforcement Learning for Reasoning in Language Models cites this paper.

Effective Reinforcement Learning for Reasoning in Language Models AgentTuning: Enabling Generalized Agent Abilities for LLMs

Reference 40

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no resolver link, observed 2026-08-07T14:56:18.612262Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:56:18.612262Z digest=sha256:25c7740b6a6873403bff69a46a2941a7e31915f5e1ef443e2ba96cfad19a75b1

Observation a3a05314-e66e-49aa-a2ab-2a28e89ac2ae · inbound

USTBench: Benchmarking and Dissecting Spatiotemporal Reasoning of LLMs as Urban Agents cites this paper.

USTBench: Benchmarking and Dissecting Spatiotemporal Reasoning of LLMs as Urban Agents AgentTuning: Enabling Generalized Agent Abilities for LLMs

Reference 64

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no resolver link, observed 2026-08-07T14:47:17.428562Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:47:17.428562Z digest=sha256:275fafd4392acb11f4092f138e91481a6d34bf50012fa5c47dcc490cd3c89c55

Observation 48c2b5e5-ade5-4ae1-8b20-498d33b23bb1 · inbound

Divide and Conquer: Grounding LLMs as Efficient Decision-Making Agents via Offline Hierarchical Reinforcement Learning cites this paper.

Divide and Conquer: Grounding LLMs as Efficient Decision-Making Agents via Offline Hierarchical Reinforcement Learning AgentTuning: Enabling Generalized Agent Abilities for LLMs

Reference 60

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:10:09.861270Z digest=sha256:853ea30d39c8b89e27fb63fffc337f122716e54ec6faea25e5462227ee80295b

Observation 67a2f167-7450-4a5a-939f-e8152a9ae841 · inbound

Training LLM-Based Agents with Synthetic Self-Reflected Trajectories and Partial Masking cites this paper.

Training LLM-Based Agents with Synthetic Self-Reflected Trajectories and Partial Masking AgentTuning: Enabling Generalized Agent Abilities for LLMs

Reference 42

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:06:57.880383Z digest=sha256:c186f3ada604bf835f7be796b9dc50e90af19fa7e96b7cf12198fc4dbd3b021f

Observation c3f27528-3245-4652-bff7-d2160513b6c1 · inbound

ManiTaskGen: A Comprehensive Task Generator for Benchmarking and Improving Vision-Language Agents on Embodied Decision-Making cites this paper.

ManiTaskGen: A Comprehensive Task Generator for Benchmarking and Improving Vision-Language Agents on Embodied Decision-Making AgentTuning: Enabling Generalized Agent Abilities for LLMs

Reference 55

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:53:59.798027Z digest=sha256:9ddeae462540053f28ec888de8a0badfeda694b0d180216c3c747a198a684984

Observation 0b330dd9-bde5-43e8-bf43-44b51610fca2 · inbound

SPA-RL: Reinforcing LLM Agents via Stepwise Progress Attribution cites this paper.

SPA-RL: Reinforcing LLM Agents via Stepwise Progress Attribution AgentTuning: Enabling Generalized Agent Abilities for LLMs

Reference 31

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no resolver link, observed 2026-08-07T13:53:03.124347Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:53:03.124347Z digest=sha256:b0b20ff417f78a84588e52210dcfc027035af3c4451f9f90a2f4a3ca4e9f76e2

Observation f3db89b3-6d7f-4c01-a196-3df82db9a9ad · inbound

LLM-ODDR: A Large Language Model Framework for Joint Order Dispatching and Driver Repositioning cites this paper.

LLM-ODDR: A Large Language Model Framework for Joint Order Dispatching and Driver Repositioning AgentTuning: Enabling Generalized Agent Abilities for LLMs

Reference 59

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no resolver link, observed 2026-08-07T13:17:44.320914Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:17:44.320914Z digest=sha256:3e41ed59ef27ca574a7fc996884184e36a9d075eabd35b839f76a2b13e3e8ebb

Observation 86f2020c-077f-4619-949a-b0aad02c7da8 · inbound

OWL: Optimized Workforce Learning for General Multi-Agent Assistance in Real-World Task Automation cites this paper.

OWL: Optimized Workforce Learning for General Multi-Agent Assistance in Real-World Task Automation AgentTuning: Enabling Generalized Agent Abilities for LLMs

Reference 48

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no resolver link, observed 2026-08-07T12:42:34.822811Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:42:34.822811Z digest=sha256:69c85cf2a4d9f755c4a4b2a2bd2e66877c307b51dcfb67b6a2795f4dd392c19b

Observation 42a19590-8180-4260-a9e5-1b565df8e491 · inbound

Orak: A Foundational Benchmark for Training and Evaluating LLM Agents on Diverse Video Games cites this paper.

Orak: A Foundational Benchmark for Training and Evaluating LLM Agents on Diverse Video Games AgentTuning: Enabling Generalized Agent Abilities for LLMs

Reference 43

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arxiv_id, observed 2026-05-19T12:02:16.591151Z

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=pdf_text observed=2026-05-19T12:01:42.681135Z digest=sha256:e6a2cbaa94cfafb2ad8f9bed7c8d0657a3711a43d3e947a6c25a7cf0fc68cfcb

Observation 5945f212-43e6-4604-aa8f-faf09b6d96d3 · inbound

Automated Skill Discovery for Language Agents through Exploration and Iterative Feedback cites this paper.

Automated Skill Discovery for Language Agents through Exploration and Iterative Feedback AgentTuning: Enabling Generalized Agent Abilities for LLMs

Reference 45

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source=pdf_text observed=2026-08-07T11:03:29.806310Z digest=sha256:8976e29be7d85dee9f188d67e4c8c387dd62964a992b5ac11b15c6178f88da69

Observation 5482457f-94df-4bad-8659-0c69faf13522 · inbound

Synthesis by Design: Controlled Data Generation via Structural Guidance cites this paper.

Synthesis by Design: Controlled Data Generation via Structural Guidance AgentTuning: Enabling Generalized Agent Abilities for LLMs

Reference 2024

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:34:23.267697Z digest=sha256:a96f3e317c3af685be061e62ffcf8cfe1474b07e999e3621149f5fbc85dd4735

Observation 7650df87-f3e9-4997-bd04-e53f26ed5df1 · inbound

Your Agent Can Defend Itself against Backdoor Attacks cites this paper.

Your Agent Can Defend Itself against Backdoor Attacks AgentTuning: Enabling Generalized Agent Abilities for LLMs

Reference 35

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no resolver link, observed 2026-08-07T05:20:51.549345Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:20:51.549345Z digest=sha256:79f29df84188411add74d662be5fe239ffce434d585764847b51afc7bc7f200c

Observation 79c6ef08-dc2b-47df-8e58-ae41965ded89 · inbound

CRITICTOOL: Evaluating Self-Critique Capabilities of Large Language Models in Tool-Calling Error Scenarios cites this paper.

CRITICTOOL: Evaluating Self-Critique Capabilities of Large Language Models in Tool-Calling Error Scenarios AgentTuning: Enabling Generalized Agent Abilities for LLMs

Reference 49

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no resolver link, observed 2026-08-07T04:44:05.694410Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T04:44:05.694410Z digest=sha256:67e2921fbd5a6e35fac7b52470428fb61d7413ed731bb891cb3059d59ec5e335

Observation 28202d86-0f93-4a1a-baa0-82a3d487250a · inbound

MEM1: Learning to Synergize Memory and Reasoning for Efficient Long-Horizon Agents cites this paper.

MEM1: Learning to Synergize Memory and Reasoning for Efficient Long-Horizon Agents AgentTuning: Enabling Generalized Agent Abilities for LLMs

Reference 66

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arxiv_id, observed 2026-05-15T00:27:37.453547Z

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-15T00:27:37.360221Z digest=sha256:336ce753ed999318ba8c184efdd57af839c50c7929aadeee02529cf7be454590

Observation 7f309774-b59f-4f7f-be72-d7885afdbca8 · inbound

Agent-RewardBench: Towards a Unified Benchmark for Reward Modeling across Perception, Planning, and Safety in Real-World Multimodal Agents cites this paper.

Agent-RewardBench: Towards a Unified Benchmark for Reward Modeling across Perception, Planning, and Safety in Real-World Multimodal Agents AgentTuning: Enabling Generalized Agent Abilities for LLMs

Reference 38

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source=arxiv_source observed=2026-08-06T22:36:45.082095Z digest=sha256:3ca1be7df8125bd438a539af690f0724dde704eb8c1a0839f3ccf2e3591af62c

Observation 97b0a58a-f376-403f-ad54-4d0d86e37de0 · inbound

DatasetAgent: A Novel Multi-Agent System for Auto-Constructing Datasets from Real-World Images cites this paper.

DatasetAgent: A Novel Multi-Agent System for Auto-Constructing Datasets from Real-World Images AgentTuning: Enabling Generalized Agent Abilities for LLMs

Reference 79

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source=pdf_text observed=2026-08-06T18:19:59.182078Z digest=sha256:38f0f21161ae5b3246e3cffc9bc9460034b13d7b1f190dcd46fcbfc837d95df9

Observation 565e3f9f-ecd4-4be0-a9e7-b16f64f828c3 · inbound

MMAT-1M: A Large Reasoning Dataset for Multimodal Agent Tuning cites this paper.

MMAT-1M: A Large Reasoning Dataset for Multimodal Agent Tuning AgentTuning: Enabling Generalized Agent Abilities for LLMs

Reference 75

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T12:18:40.313560Z digest=sha256:2406113bc48580f6a576a08390ff9ec60d24b7a7614e72251e62f8e883bd00ac

Observation c6a76097-748c-4a56-b4af-58befea86340 · inbound

S3LoRA: Safe Spectral Sharpness-Guided Pruning in Adaptation of Agent Planner cites this paper.

S3LoRA: Safe Spectral Sharpness-Guided Pruning in Adaptation of Agent Planner AgentTuning: Enabling Generalized Agent Abilities for LLMs

Reference 42

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no resolver link, observed 2026-08-05T18:12:37.012892Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T18:12:37.012892Z digest=sha256:6baf127fbc8a51567848bc2708726f6146e78faae036e1707f41b81fd34c8fb7

Observation 1c347252-1a5b-4d0a-99b7-63ca2faed76c · inbound

ReSeek: A Self-Correcting Framework for Search Agents with Instructive Rewards cites this paper.

ReSeek: A Self-Correcting Framework for Search Agents with Instructive Rewards AgentTuning: Enabling Generalized Agent Abilities for LLMs

Reference 23

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arxiv_id, observed 2026-05-18T11:21:18.722000Z

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=pdf_text observed=2026-05-18T11:20:02.118579Z digest=sha256:c74e196d60747976647d0113777a38a2e09c93c128ad087f0bf79b449e4771e4

Observation a041484a-e109-4286-b7a9-6420c0b5cf8e · inbound

RoboGPT-R1: Enhancing Robot Task Planning with Reinforcement Learning cites this paper.

RoboGPT-R1: Enhancing Robot Task Planning with Reinforcement Learning AgentTuning: Enabling Generalized Agent Abilities for LLMs

Reference 64

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source=pdf_text observed=2026-08-04T09:33:42.145467Z digest=sha256:bc55733b0efb508398ef08b726461dd8d8c981024348d35ea6ab1c57776d494d

Observation 001b17ee-2f5f-4bce-803d-64d95bef604c · inbound

SoK: Agentic Skills -- Beyond Tool Use in LLM Agents cites this paper.

SoK: Agentic Skills -- Beyond Tool Use in LLM Agents AgentTuning: Enabling Generalized Agent Abilities for LLMs

Reference 41

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arxiv_id, observed 2026-05-14T23:19:31.160855Z

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=pdf_text observed=2026-05-14T23:19:31.024268Z digest=sha256:095e5361a341bba030af27a1060d58db698aa2deb25b0d82925484f3c26c3a42

Observation e40e8d92-77d0-4326-995c-7198fc3d3acd · inbound

ActionNex: A Virtual Outage Manager for Cloud Computing cites this paper.

ActionNex: A Virtual Outage Manager for Cloud Computing AgentTuning: Enabling Generalized Agent Abilities for LLMs

Reference 18

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arxiv_id, observed 2026-05-13T19:23:09.554645Z

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=pdf_text observed=2026-05-13T19:18:39.881155Z digest=sha256:7b379bcef95fee0c8acbd0b2158c4edf4354bca055dccbe793a7f2fb1d5726c8

Observation 5d78d429-0dfc-4914-8b82-96588a89df51 · inbound

Meta-Tool: Efficient Few-Shot Tool Adaptation for Small Language Models cites this paper.

Meta-Tool: Efficient Few-Shot Tool Adaptation for Small Language Models AgentTuning: Enabling Generalized Agent Abilities for LLMs

Reference 55

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verified exact
arxiv_id, observed 2026-05-10T00:54:48.779552Z

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=2026-05-10T00:50:27.257888Z digest=sha256:ad51e40f6cd6b055fcd9e7662edcb241f9df31ff593ff0ae788bb7486d738844

Observation 29d05691-006c-4e01-ab38-aa0cad8580af · inbound

From Coarse to Fine: Self-Adaptive Hierarchical Planning for LLM Agents cites this paper.

From Coarse to Fine: Self-Adaptive Hierarchical Planning for LLM Agents AgentTuning: Enabling Generalized Agent Abilities for LLMs

Reference 32

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arxiv_id, observed 2026-05-11T20:46:10.333183Z

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=2026-05-08T08:10:36.579810Z digest=sha256:76ced3ff9f82adff9471a5bfd53a0f23772058629cc7cd26eb8e20f3bf9ff672

Observation 490f011f-1580-4eb7-b050-927ac1f615de · inbound

ISE: An Execution-Grounded Recipe for Multi-Turn OS-Agent Trajectories cites this paper.

ISE: An Execution-Grounded Recipe for Multi-Turn OS-Agent Trajectories AgentTuning: Enabling Generalized Agent Abilities for LLMs

Reference 68

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arxiv_id, observed 2026-07-03T06:17:41.410452Z

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=2026-06-27T12:50:32.024037Z digest=sha256:9326c95026d4ed715d493ad5ef8b6a42becb2aa431d3f3cb8f51dfec262ab621

Observation 5cc44ae6-ed9d-438b-9954-a0f54ba39f29 · inbound

ISE: An Execution-Grounded Recipe for Multi-Turn OS-Agent Trajectories cites this paper.

ISE: An Execution-Grounded Recipe for Multi-Turn OS-Agent Trajectories AgentTuning: Enabling Generalized Agent Abilities for LLMs

Reference 29

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no resolver link, observed 2026-07-14T18:06:15.668254Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-14T18:06:15.668254Z digest=sha256:c8f8e3d726362bacd0edaf16635ceb490827ef1b0f61495aa957a2ab8f2b9fb8

Observation 0e4333c4-bea4-4e74-8a5f-1f38fa07b90e · inbound

ISE: An Execution-Grounded Recipe for Multi-Turn OS-Agent Trajectories cites this paper.

ISE: An Execution-Grounded Recipe for Multi-Turn OS-Agent Trajectories AgentTuning: Enabling Generalized Agent Abilities for LLMs

Reference 29

Resolution
unresolved
no resolver link, observed 2026-07-15T10:51:49.150058Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-15T10:51:49.150058Z digest=sha256:5d99add4677c2821fd7d95bf53e7d256a52540fc15179b2f28c68285987c4eea

Observation e83a5764-ea5b-4e4e-8ab3-96d734e74566 · inbound

Token-Operations-Oriented Inference Optimization Techniques for Large Models cites this paper.

Token-Operations-Oriented Inference Optimization Techniques for Large Models AgentTuning: Enabling Generalized Agent Abilities for LLMs

Reference 165

Resolution
verified exact
arxiv_id, observed 2026-07-04T05:09:36.812525Z

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=pdf_text observed=2026-06-26T16:15:22.543601Z digest=sha256:ba77f23d11af524ecf37fd698e58a527bb81d8ac4e0c901f88a43c8e73562a41

Observation df84f23b-1df6-41e6-95d1-383220ce6c86 · inbound

Token-Operations-Oriented Inference Optimization Techniques for Large Models cites this paper.

Token-Operations-Oriented Inference Optimization Techniques for Large Models AgentTuning: Enabling Generalized Agent Abilities for LLMs

Reference 165

Resolution
unresolved
no resolver link, observed 2026-08-02T10:49:17.926651Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T10:49:17.926651Z digest=sha256:deb1cf2df1aff74ca64fa8f3942fd9bfcc8a39bc28a36f10fb5742a88616effe

Observation 2e9cdb54-2991-463e-9988-a4088cce67c4 · inbound

Training the Orchestrator: A Supervised Approach to End-to-End PDDL Planning with LLM Agents cites this paper.

Training the Orchestrator: A Supervised Approach to End-to-End PDDL Planning with LLM Agents AgentTuning: Enabling Generalized Agent Abilities for LLMs

Reference 15

Resolution
metadata mismatch
arxiv_id, observed 2026-07-04T06:59:38.201574Z

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=2026-06-26T13:56:51.914966Z digest=sha256:c0baf18f4cf921ba9af96dc9f2c0d880672525cae3e006e6b9cf3df24dd7e9bb

Observation 04907fce-58dc-4533-a713-8651485f2270 · inbound

Reclaim Evaluation: A Lossy Memory Is Worse Than an Empty One cites this paper.

Reclaim Evaluation: A Lossy Memory Is Worse Than an Empty One AgentTuning: Enabling Generalized Agent Abilities for LLMs

Reference 40

Resolution
verified exact
arxiv_id, observed 2026-07-04T19:40:06.882455Z

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=2026-06-25T21:07:03.645720Z digest=sha256:a9048e904c2ddeadfa0ee09b431481f44da224576fb69bc54ed556e7789feb70

Observation 739386b4-1350-4c4b-b2fe-a9b3d4b893b9 · inbound

Reclaim Evaluation: A Lossy Memory Is Worse Than an Empty One cites this paper.

Reclaim Evaluation: A Lossy Memory Is Worse Than an Empty One AgentTuning: Enabling Generalized Agent Abilities for LLMs

Reference 11

Resolution
verified exact
arxiv_id, observed 2026-06-30T11:54:39.100063Z

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=pdf_text observed=2026-06-30T10:21:30.250777Z digest=sha256:10ee8c8ea961a25fa19827bd815eebb0b822499d42e02563396bbf757a3cd98e

Observation 428c481d-b769-4c9e-b11c-f5048048ca5c · inbound

Reclaim Evaluation: A Lossy Memory Is Worse Than an Empty One cites this paper.

Reclaim Evaluation: A Lossy Memory Is Worse Than an Empty One AgentTuning: Enabling Generalized Agent Abilities for LLMs

Reference 36

Resolution
unresolved
no resolver link, observed 2026-07-12T12:16:01.583283Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-12T12:16:01.583283Z digest=sha256:f39a66c3328183c1f278e71f9391ee0a8e20c6e838cf214d8ea5afcbf985432c

Observation b0a0a63d-ed54-4d9e-bcd0-9e057a59a13d · inbound

Reclaim Evaluation: A Lossy Memory Is Worse Than an Empty One cites this paper.

Reclaim Evaluation: A Lossy Memory Is Worse Than an Empty One AgentTuning: Enabling Generalized Agent Abilities for LLMs

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-02T10:22:00.470241Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T10:22:00.470241Z digest=sha256:6c8ea31b62d1542fc7ff756d92f82c5a0683a213b1fff94e01eb3a067532691c

Observation 03e4b18e-8eeb-435c-ad50-56edc8cbb297 · inbound

Diagnosing Task Insensitivity in Language Agents cites this paper.

Diagnosing Task Insensitivity in Language Agents AgentTuning: Enabling Generalized Agent Abilities for LLMs

Reference 18

Resolution
metadata mismatch
arxiv_id, observed 2026-07-04T13:39:51.566869Z

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=pdf_text observed=2026-06-26T04:58:11.929896Z digest=sha256:dfdf7c3c3774f8a10a7d67edf8c50947265a48c0754ed4cd89bc3d12114c9e48

Observation 709776f9-3e3d-45b6-8b4f-47890822d5b9 · inbound

Where Do CoT Training Gains Land in LLM based Agents? cites this paper.

Where Do CoT Training Gains Land in LLM based Agents? AgentTuning: Enabling Generalized Agent Abilities for LLMs

Reference 26

Resolution
verified exact
arxiv_id, observed 2026-07-04T13:49:51.524917Z

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=2026-06-26T04:55:14.293452Z digest=sha256:044fdfdaf68b7af5e29cfa35a565b064de06db767b141e890b37c05492bb4d06

Observation dfee629a-3d7e-4b46-8e9e-1e0a0b259072 · inbound

Safe Autoregressive Image Generation with Iterative Self-Improving Codebooks cites this paper.

Safe Autoregressive Image Generation with Iterative Self-Improving Codebooks AgentTuning: Enabling Generalized Agent Abilities for LLMs

Reference 29

Resolution
verified exact
arxiv_id, observed 2026-07-04T12:49:52.853394Z

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=pdf_text observed=2026-06-26T05:51:01.446139Z digest=sha256:9a7076c30472e5a761ad9019501c0c1d290d2e1e53f1cc6d3ca165cdf2651f6e

Observation 3537e843-7119-4f11-88cc-801becdd7f62 · inbound

Yuvion LLM: An Adversarially-Aware Large Language Model for Content And AI Safety cites this paper.

Yuvion LLM: An Adversarially-Aware Large Language Model for Content And AI Safety AgentTuning: Enabling Generalized Agent Abilities for LLMs

Reference 39

Resolution
verified exact
arxiv_id, observed 2026-06-29T00:52:55.815941Z

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=pdf_text observed=2026-06-29T00:46:03.210076Z digest=sha256:a58932ba861d010010e386a249e0cf1ff301153f404d4399339522eeb55b4165

Observation cd6d8b56-9e95-45e5-9d22-50e9dbb9a057 · inbound

BVS: Bayesian Visual Search with Multimodal Large Language Model for Fine-grained Perception cites this paper.

BVS: Bayesian Visual Search with Multimodal Large Language Model for Fine-grained Perception AgentTuning: Enabling Generalized Agent Abilities for LLMs

Reference 217

Resolution
unresolved
no resolver link, observed 2026-07-12T04:17:40.198357Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-12T04:17:40.198357Z digest=sha256:be776734f31028d9c67a5fb68acde8977d46daa5c28631ce569fbfceb18fabed

Observation 636e80dc-7579-4865-b097-cd1c317c8775 · inbound

Eluna: An Agentic LLM System for Automating Warehouse Operations with Reasoning and Task Execution cites this paper.

Eluna: An Agentic LLM System for Automating Warehouse Operations with Reasoning and Task Execution AgentTuning: Enabling Generalized Agent Abilities for LLMs

Reference 14

Resolution
unresolved
no resolver link, observed 2026-07-13T05:30:10.497783Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-13T05:30:10.497783Z digest=sha256:27bfb3f9e984cea52aa71f8d5cf1a19977ec0be16dc7bb3fd4709c28a1d537fa

Observation 84450d16-3158-487c-a59b-c3a2249d38b2 · inbound

TRACE: Turn-level Reward Assignment via Credit Estimation for Long-Horizon Agents cites this paper.

TRACE: Turn-level Reward Assignment via Credit Estimation for Long-Horizon Agents AgentTuning: Enabling Generalized Agent Abilities for LLMs

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-02T03:10:51.645371Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T03:10:51.645371Z digest=sha256:79adc9946051fa812c4cc66a10cc970ae27b97a46cb54717e66d3dd56e28bd63

Observation ab2e1e47-c0d7-4642-b75b-d430069debda · inbound

FinReportBench: Measuring and Improving Institution-Grade Financial Report Generation cites this paper.

FinReportBench: Measuring and Improving Institution-Grade Financial Report Generation AgentTuning: Enabling Generalized Agent Abilities for LLMs

Reference 55

Resolution
unresolved
no resolver link, observed 2026-08-08T18:53:02.089772Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T18:53:02.089772Z digest=sha256:c82fc5979e8feb40cf7f6c9acc2f0b8c0706156f0fdd72bb3bd7f60c93641746