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Paper Citation Record · LEDGER

MPO: Boosting LLM Agents with Meta Plan Optimization

As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2503.02682.

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

pith.paper-citation-record.v1
2503.02682 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 7 of 7 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:42:34.489727Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T05:57:41.630149Z

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 c104d0af-66fc-4703-99c6-1003c8fa6cf3 · 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 MPO: Boosting LLM Agents with Meta Plan Optimization

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-07T12:42:34.489727Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:42:34.489727Z digest=sha256:6bd7092e8c83fe0ea56dc860b58ca838c20bd7d17be846598d886173fdbbf807

Observation 8a51431e-3524-489a-8c88-44714305f71a · inbound

SAND: Boosting LLM Agents with Self-Taught Action Deliberation cites this paper.

SAND: Boosting LLM Agents with Self-Taught Action Deliberation MPO: Boosting LLM Agents with Meta Plan Optimization

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-06T18:47:22.268797Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T18:47:22.268797Z digest=sha256:832773a31cd21735136af99e87c71420097e98762600895db1f3022c86ab907c

Observation ad1c0f37-33bc-44e1-8b46-eb8106f3a653 · inbound

Claw-Eval: Towards Trustworthy Evaluation of Autonomous Agents cites this paper.

Claw-Eval: Towards Trustworthy Evaluation of Autonomous Agents MPO: Boosting LLM Agents with Meta Plan Optimization

Reference 44

Resolution
verified exact
arxiv_id, observed 2026-05-10T23:35:51.703277Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-10T18:59:59.383781Z digest=sha256:be40c10e64ae948b99594a02155132161623dd85217a2dc43df903043efd89b1

Observation 79445d22-2400-4435-b736-4e3f0d087248 · inbound

RoboAgent: Chaining Basic Capabilities for Embodied Task Planning cites this paper.

RoboAgent: Chaining Basic Capabilities for Embodied Task Planning MPO: Boosting LLM Agents with Meta Plan Optimization

Reference 121

Resolution
verified exact
arxiv_id, observed 2026-05-11T05:15:57.453818Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-10T18:15:08.727921Z digest=sha256:6434f37b570be9d3ef0769c209673cc61c8c6c818edb8c7cd73e3e95de4ded4f

Observation 4f85cd6b-f03f-4041-bb7c-c4a6465dbaf6 · 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 MPO: Boosting LLM Agents with Meta Plan Optimization

Reference 27

Resolution
verified exact
arxiv_id, observed 2026-05-11T20:46:10.472243Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-05-08T08:10:36.579810Z digest=sha256:5593b0b14a41adc4b4a266350c898672fe325117ae3d0cd5176134122098d268

Observation 44f06f53-a0ca-43c3-8123-51b0aec401c3 · inbound

Bridging Perception and Action: A Lightweight Multimodal Meta-Planner Framework for Robust Earth Observation Agents cites this paper.

Bridging Perception and Action: A Lightweight Multimodal Meta-Planner Framework for Robust Earth Observation Agents MPO: Boosting LLM Agents with Meta Plan Optimization

Reference 24

Resolution
verified exact
arxiv_id, observed 2026-05-11T18:31:12.156210Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-05-08T15:45:27.700503Z digest=sha256:b4495518b0588fc1febd2104a747a5a1148cd59aecb02bbe146f103e726b1e27

Observation 8a9aca69-9760-4807-b28f-182e722004b1 · inbound

The Periodic Table of LLM Reasoning: A Structured Survey of Reasoning Paradigms, Methods, and Failure Modes cites this paper.

The Periodic Table of LLM Reasoning: A Structured Survey of Reasoning Paradigms, Methods, and Failure Modes MPO: Boosting LLM Agents with Meta Plan Optimization

Reference 275

Resolution
metadata mismatch
arxiv_id, observed 2026-07-03T05:57:41.631559Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-06-27T12:59:51.091008Z digest=sha256:ca201e0c74aef79bfc5ab9fdf01cca2d9dc434650c1e9a4d52c4b7d26c7487f3