Paper Citation Record · LEDGER

On The Planning Abilities of OpenAI's o1 Models: Feasibility, Optimality, and Generalizability

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2409.19924.

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

pith.paper-citation-record.v1
2409.19924 v4

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T05:20:17.121998Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-15T21:20:59.316690Z

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 cd9fe161-540e-40b6-a0e2-e32a6871f09a · inbound

Evaluating Large Language Models' Capability to Launch Fully Automated Spear Phishing Campaigns: Validated on Human Subjects cites this paper.

Evaluating Large Language Models' Capability to Launch Fully Automated Spear Phishing Campaigns: Validated on Human Subjects On The Planning Abilities of OpenAI's o1 Models: Feasibility, Optimality, and Generalizability

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-12T05:20:17.121998Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 849bf248-7778-46a6-8eff-5acde011d6e5 · inbound

Towards Large Reasoning Models: A Survey of Reinforced Reasoning with Large Language Models cites this paper.

Towards Large Reasoning Models: A Survey of Reinforced Reasoning with Large Language Models On The Planning Abilities of OpenAI's o1 Models: Feasibility, Optimality, and Generalizability

Reference 148

Resolution: verified exact; arxiv_id, observed 2026-05-15T21:20:59.318341Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 03ae988b-5ada-4c24-970e-d209af5d3491 · inbound

Generating Symbolic World Models via Test-time Scaling of Large Language Models cites this paper.

Generating Symbolic World Models via Test-time Scaling of Large Language Models On The Planning Abilities of OpenAI's o1 Models: Feasibility, Optimality, and Generalizability

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-08T21:45:45.447954Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 019350d2-5b82-43d9-b107-ce63c6c20a9e · inbound

Large Language Models for Planning: A Comprehensive and Systematic Survey cites this paper.

Large Language Models for Planning: A Comprehensive and Systematic Survey On The Planning Abilities of OpenAI's o1 Models: Feasibility, Optimality, and Generalizability

Reference 257

Resolution: unresolved; no resolver link, observed 2026-08-07T14:12:07.958845Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eba4517b-6b66-496a-b150-5b5060f6f192 · inbound

LogiPlan: A Structured Benchmark for Logical Planning and Relational Reasoning in LLMs cites this paper.

LogiPlan: A Structured Benchmark for Logical Planning and Relational Reasoning in LLMs On The Planning Abilities of OpenAI's o1 Models: Feasibility, Optimality, and Generalizability

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-07T04:28:47.210808Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2887cccc-e568-4158-bf19-1f09d44e85ea · inbound

Thinking Beyond Tokens: From Brain-Inspired Intelligence to Cognitive Foundations for Artificial General Intelligence and its Societal Impact cites this paper.

Thinking Beyond Tokens: From Brain-Inspired Intelligence to Cognitive Foundations for Artificial General Intelligence and its Societal Impact On The Planning Abilities of OpenAI's o1 Models: Feasibility, Optimality, and Generalizability

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-06T21:07:10.915557Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.