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Paper Citation Record · LEDGER

AgentLite: A Lightweight Library for Building and Advancing Task-Oriented LLM Agent System

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 11 inbound Pith citation observations for arXiv:2402.15538.

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

pith.paper-citation-record.v1
2402.15538 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 11 of 11 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 11 of 11 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T11:47:49.917199Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-15T22:00:21.160203Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 0de9278f-a0ba-40bc-b20b-ed890bde2637 · inbound

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

A-MEM: Agentic Memory for LLM Agents AgentLite: A Lightweight Library for Building and Advancing Task-Oriented LLM Agent System

Reference 21

Resolution
verified exact
arxiv_id, observed 2026-05-11T00:47:29.002841Z

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=pdf_text observed=2026-05-11T00:47:28.898112Z digest=sha256:df98f41d5b92b3737dde92f699fc1edc853d82e1964081c84dc4725c6237b11f

Observation a65dd59a-a1b4-411f-b430-cb9d5ee88428 · inbound

PGPO: Enhancing Agent Reasoning via Pseudocode-style Planning Guided Preference Optimization cites this paper.

PGPO: Enhancing Agent Reasoning via Pseudocode-style Planning Guided Preference Optimization AgentLite: A Lightweight Library for Building and Advancing Task-Oriented LLM Agent System

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-07T11:47:49.917199Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T11:47:49.917199Z digest=sha256:1b4ac8c1b04c473cb7ac4d9f99761135796dd3f6ea32e2042ea96cf77828f164

Observation 57c884b9-c144-4f9b-965c-25e88c647e55 · inbound

LAM SIMULATOR: Advancing Data Generation for Large Action Model Training via Online Exploration and Trajectory Feedback cites this paper.

LAM SIMULATOR: Advancing Data Generation for Large Action Model Training via Online Exploration and Trajectory Feedback AgentLite: A Lightweight Library for Building and Advancing Task-Oriented LLM Agent System

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-07T11:30:55.494458Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T11:30:55.494458Z digest=sha256:d0db42e1acce8df0105ee9d88750619a62c9915ea01cefdc13616bdb786119be

Observation cace3e68-b979-461d-9cb4-32669fa35424 · 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 AgentLite: A Lightweight Library for Building and Advancing Task-Oriented LLM Agent System

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-06T18:19:59.061361Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:19:59.061361Z digest=sha256:3e9aa4925bdb26d593894902ba5f5cdbc29ff3b1c2b18f3ea5b0ebdb63fef0c0

Observation 65a1617e-b793-4644-91fd-baed4f124149 · inbound

Introspection of Thought Helps AI Agents cites this paper.

Introspection of Thought Helps AI Agents AgentLite: A Lightweight Library for Building and Advancing Task-Oriented LLM Agent System

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-06T18:19:58.762087Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:19:58.762087Z digest=sha256:2d90ad005b34df7b197128ca2993833fd04d9f964539422621aa1da2c8886136

Observation 3b85cbb9-9ee2-4265-8954-2dbfe0457389 · inbound

MCPEval: Automatic MCP-based Deep Evaluation for AI Agent Models cites this paper.

MCPEval: Automatic MCP-based Deep Evaluation for AI Agent Models AgentLite: A Lightweight Library for Building and Advancing Task-Oriented LLM Agent System

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-06T16:46:00.571687Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T16:46:00.571687Z digest=sha256:a2f7607c1847fade515ccc2613a582df37653747c2fc915dfa59a3d127f07556

Observation ca6542e6-4b7d-4a9b-b557-7b9e601e0e44 · inbound

FinGAIA: A Chinese Benchmark for AI Agents in Real-World Financial Domain cites this paper.

FinGAIA: A Chinese Benchmark for AI Agents in Real-World Financial Domain AgentLite: A Lightweight Library for Building and Advancing Task-Oriented LLM Agent System

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-06T14:59:38.206814Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T14:59:38.206814Z digest=sha256:f901f7d277369cdeba49248efa28cb59c0021f58486c336beb8a8ab7f2d8579e

Observation 3bcc7fa5-ecbd-4e93-b8e7-c07c61c94e11 · inbound

Blockchain Network Analysis using Quantum Inspired Graph Neural Networks & Ensemble Models cites this paper.

Blockchain Network Analysis using Quantum Inspired Graph Neural Networks & Ensemble Models AgentLite: A Lightweight Library for Building and Advancing Task-Oriented LLM Agent System

Reference 2017

Resolution
unresolved
no resolver link, observed 2026-08-05T21:22:37.483065Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T21:22:37.483065Z digest=sha256:53fc1ebf0533b5b5a7d4819d2465851cb1602f6e42b9d83c77c2e7912611f378

Observation 3a063d7d-888c-4fa1-a0da-6cdfe5c7d50b · inbound

HyMem: Hybrid Memory Architecture with Dynamic Retrieval Scheduling cites this paper.

HyMem: Hybrid Memory Architecture with Dynamic Retrieval Scheduling AgentLite: A Lightweight Library for Building and Advancing Task-Oriented LLM Agent System

Reference 5

Resolution
verified exact
arxiv_id, observed 2026-05-15T22:00:21.163675Z

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=pdf_text observed=2026-05-15T21:58:30.784843Z digest=sha256:2fb32b8eaea72687ca3d23d1975f4dda00040b6f9be54278861769dcc8c5f86d

Observation 0c2ed957-efdc-4baf-b0f5-10900fc45586 · inbound

Bridging Inference-Time Scaling and Episodic Memory with Action-Centric Graphs cites this paper.

Bridging Inference-Time Scaling and Episodic Memory with Action-Centric Graphs AgentLite: A Lightweight Library for Building and Advancing Task-Oriented LLM Agent System

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-01T07:48:43.984928Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T07:48:43.984928Z digest=sha256:39c570351a31b2b22a5127ad497d86d5a9d763877a389aa2e60c55c988fa9272

Observation ce72462f-034d-49eb-a5b4-d271ac466d16 · inbound

ViSAGE: Constructing Self-Correcting Memories for Long-Form Video Understanding cites this paper.

ViSAGE: Constructing Self-Correcting Memories for Long-Form Video Understanding AgentLite: A Lightweight Library for Building and Advancing Task-Oriented LLM Agent System

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-03T00:45:20.580075Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T00:45:20.580075Z digest=sha256:939fe698f6192cf3aa1f8b614d534eb12a7e8e72caf2cf5db2e1b1819451bcd8