Pith. sign in

Paper Citation Record · LEDGER

PlanGEN: A Multi-Agent Framework for Generating Planning and Reasoning Trajectories for Complex Problem Solving

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2502.16111.

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

pith.paper-citation-record.v1
2502.16111 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 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 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:09:51.498471Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-22T14:24:53.532408Z

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 bbe5e58f-4294-4fbe-90ae-1d740f82901c · inbound

Iterative Formalization and Planning in Partially Observable Environments cites this paper.

Iterative Formalization and Planning in Partially Observable Environments PlanGEN: A Multi-Agent Framework for Generating Planning and Reasoning Trajectories for Complex Problem Solving

Reference 4

Resolution
verified exact
arxiv_id, observed 2026-05-22T14:24:53.537301Z

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=2026-05-22T14:24:32.031008Z digest=sha256:479cfa81771daa19abde651a45c084f56181fa40988d3aaecd7b3282981110e2

Observation 04bbd25e-7b1d-4375-81e7-b6f6c8c83ea1 · inbound

Exploring Consciousness in LLMs: A Systematic Survey of Theories, Implementations, and Frontier Risks cites this paper.

Exploring Consciousness in LLMs: A Systematic Survey of Theories, Implementations, and Frontier Risks PlanGEN: A Multi-Agent Framework for Generating Planning and Reasoning Trajectories for Complex Problem Solving

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-07T14:09:51.498471Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:09:51.498471Z digest=sha256:3d88db5cb138238692e5ce316e0484737487f8d2be2615e75af0d5b8c32f08e7

Observation d04c0d36-b156-4198-a5d9-939497fa6f59 · inbound

PLAN-TUNING: Post-Training Language Models to Learn Step-by-Step Planning for Complex Problem Solving cites this paper.

PLAN-TUNING: Post-Training Language Models to Learn Step-by-Step Planning for Complex Problem Solving PlanGEN: A Multi-Agent Framework for Generating Planning and Reasoning Trajectories for Complex Problem Solving

Reference 2025

Resolution
unresolved
no resolver link, observed 2026-08-06T18:48:26.796937Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:48:26.796937Z digest=sha256:dc1231df1441664c863c2ff45bc704faf8baa3b465e8d60e6aa672ee8dbfa60a

Observation 1b2a979b-5db9-460f-8af6-d56d3a07990e · inbound

ThinkTuning: Instilling Cognitive Reflections without Distillation cites this paper.

ThinkTuning: Instilling Cognitive Reflections without Distillation PlanGEN: A Multi-Agent Framework for Generating Planning and Reasoning Trajectories for Complex Problem Solving

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-05T22:05:05.517249Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T22:05:05.517249Z digest=sha256:ae82665806f1ae682e5e9ddf68f500443c4c5e580ae7c21a80bce4604716b289

Observation e68fbdf5-01a0-4adb-8fb0-fb491827ef58 · inbound

How Can Input Reformulation Improve Tool Usage Accuracy in a Complex Dynamic Environment? A Study on $\tau$-bench cites this paper.

How Can Input Reformulation Improve Tool Usage Accuracy in a Complex Dynamic Environment? A Study on $\tau$-bench PlanGEN: A Multi-Agent Framework for Generating Planning and Reasoning Trajectories for Complex Problem Solving

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-05T14:49:00.692259Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T14:49:00.692259Z digest=sha256:c8fde22500d193bf5ef97559fb0f06b09f986c83e92fda3ffabd498644429f8e