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Paper Citation Record · LEDGER

MPO: Boosting LLM Agents with Meta Plan Optimization

As of 22 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 2026-08-21T06:32:19.484+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:ce8b740d16798edab72991d54d6110701fa36196b14413b7a7c157d2d79dd7f2

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:fe689234ee31c733922f65e7a3c16b94f311ec145ee7818eb17131ea277ef006

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-10T18:59:59.383781Z digest=sha256:6aca8302d5ddf4a83318260c6dd849e58db665ba77aa2088c38a792d2d6f6f0f

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-10T18:15:08.727921Z digest=sha256:6ebad5458c2abb2f008b4c9c88cf9433660a4bedb83a96301f42e7d1c26dbf12

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 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-05-08T08:10:36.579810Z digest=sha256:c4a20454c097e04b79cb54723696d23a7aa65ba927203283598ceb6a267eee60

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 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-05-08T15:45:27.700503Z digest=sha256:3692b49f9ac5704ac59f1bb5c959c38805dcdd5a0b8dec894ead63533ba2fa8b

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 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-06-27T12:59:51.091008Z digest=sha256:3f7fcc853d31ab88970672d94a4c724c84a78e8708e051c35cb74e3636ae3355