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Paper Citation Record · LEDGER

Fast and Accurate Task Planning using Neuro-Symbolic Language Models and Multi-level Goal Decomposition

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2409.19250.

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

pith.paper-citation-record.v1
2409.19250 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 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 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T10:45:59.539657Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T14:08:22.012912Z

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 3033c040-48c9-4f91-980e-763fe491af10 · inbound

"Don't Do That!": Guiding Embodied Systems through Large Language Model-based Constraint Generation cites this paper.

"Don't Do That!": Guiding Embodied Systems through Large Language Model-based Constraint Generation Fast and Accurate Task Planning using Neuro-Symbolic Language Models and Multi-level Goal Decomposition

Reference 23

Resolution
verified exact
arxiv_id, observed 2026-05-19T10:32:14.620619Z

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=2026-05-19T10:30:27.456912Z digest=sha256:ee0184e5d48e97bee5e6324e262453cc816aa756b4770d1674dbec0bf67a6d17

Observation 5b6846e1-d56b-4d9f-9728-f48209d0a078 · inbound

Can LLM-Reasoning Models Replace Classical Planning? A Benchmark Study cites this paper.

Can LLM-Reasoning Models Replace Classical Planning? A Benchmark Study Fast and Accurate Task Planning using Neuro-Symbolic Language Models and Multi-level Goal Decomposition

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-06T10:45:59.539657Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T10:45:59.539657Z digest=sha256:ea461ca2ffa313851ebb61e4e7541fd37ba30a04d93d1a5ab39e9d7038ee70d4

Observation 81c511d6-3b67-469f-aadc-7b7e1aaaea48 · inbound

CoreThink: A Symbolic Reasoning Layer to reason over Long Horizon Tasks with LLMs cites this paper.

CoreThink: A Symbolic Reasoning Layer to reason over Long Horizon Tasks with LLMs Fast and Accurate Task Planning using Neuro-Symbolic Language Models and Multi-level Goal Decomposition

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-05T13:05:32.500974Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T13:05:32.500974Z digest=sha256:a6a046bce28550281ff1cfb93644c93d565a0623949bbd5bf523037e0d1f52a8

Observation 4bc89559-6f65-4e66-8793-d63c92ea0a2a · inbound

Neuro-Symbolic Agents for Regulated Process Automation: Challenges and Research Agenda cites this paper.

Neuro-Symbolic Agents for Regulated Process Automation: Challenges and Research Agenda Fast and Accurate Task Planning using Neuro-Symbolic Language Models and Multi-level Goal Decomposition

Reference 6

Resolution
verified exact
arxiv_id, observed 2026-07-03T14:08:22.014387Z

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=2026-06-27T07:13:49.987087Z digest=sha256:4f44cafc805f49ed4513894f9ab406ff9ff6cafb2e915888459b73a29ae6455e