Pith. sign in

Paper Citation Record · LEDGER

A Study on Training and Developing Large Language Models for Behavior Tree Generation

As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2401.08089.

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

pith.paper-citation-record.v1
2401.08089 v1

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 2026-08-11T06:34:44.6726+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T21:45:22.501693Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-19T17:32:41.696726Z

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 63deba93-d41a-4ad3-8233-bb002205b6c2 · inbound

VLM-driven Behavior Tree for Context-aware Task Planning cites this paper.

VLM-driven Behavior Tree for Context-aware Task Planning A Study on Training and Developing Large Language Models for Behavior Tree Generation

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-10T21:45:22.501693Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:45:22.501693Z digest=sha256:ceb4426dab5d487e4c74c5732ead540e892a9f0e3fee5d05083b6657ef874685

Observation d4c3ee62-d69f-47a6-91b5-da26ab924239 · inbound

Automatic Robot Task Planning by Integrating Large Language Model with Genetic Programming cites this paper.

Automatic Robot Task Planning by Integrating Large Language Model with Genetic Programming A Study on Training and Developing Large Language Models for Behavior Tree Generation

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-08T11:40:22.514455Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T11:40:22.514455Z digest=sha256:5168484181e8a4114ced7eca71e0e0606ccd1802e97deffc7bcd4d389c6957f8

Observation ef36a244-0790-41f8-b6af-94d848e677f5 · inbound

Learning Structured Robot Policies from Vision-Language Models via Synthetic Neuro-Symbolic Supervision cites this paper.

Learning Structured Robot Policies from Vision-Language Models via Synthetic Neuro-Symbolic Supervision A Study on Training and Developing Large Language Models for Behavior Tree Generation

Reference 21

Resolution
verified exact
arxiv_id, observed 2026-05-13T20:13:13.254744Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-13T20:11:58.423612Z digest=sha256:286e2d9ab320c4e81389dac97ca1542707270a0b17b7877ef94701699667b0d7

Observation 5304b2e5-2f69-4c3f-87ec-7cc7a7cf63e1 · inbound

Learning Structured Robot Policies from Vision-Language Models via Synthetic Neuro-Symbolic Supervision cites this paper.

Learning Structured Robot Policies from Vision-Language Models via Synthetic Neuro-Symbolic Supervision A Study on Training and Developing Large Language Models for Behavior Tree Generation

Reference 21

Resolution
verified exact
arxiv_id, observed 2026-05-19T17:32:41.698623Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-19T17:30:08.755545Z digest=sha256:d74beb01afc88f9ed0902f839b11c04f4a6be4951cacd6ba137f340868327ef4