Paper Citation Record · LEDGER

Generating consistent PDDL domains with Large Language Models

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2404.07751.

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

pith.paper-citation-record.v1
2404.07751 v1

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 2026-08-10T06:31:04.303077+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T21:45:45.414679Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-12T07:51:45.916693Z

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 aa6afb8f-1814-45f2-a363-8dae05abc82a · 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 Generating consistent PDDL domains with Large Language Models

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-08T21:45:45.414679Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e91c8069-ad8a-4435-a286-6645df9d67e8 · inbound

Learning Compositional Behaviors from Demonstration and Language cites this paper.

Learning Compositional Behaviors from Demonstration and Language Generating consistent PDDL domains with Large Language Models

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-07T13:23:45.437452Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 973b8f81-2a2c-4514-bd4a-105441264f95 · inbound

PDDL-Mind: Large Language Models are Capable on Belief Reasoning with Reliable State Tracking cites this paper.

PDDL-Mind: Large Language Models are Capable on Belief Reasoning with Reliable State Tracking Generating consistent PDDL domains with Large Language Models

Reference 22

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T11:56:29.456347Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 65a69117-5875-4cc4-a5e0-e962979cfcfa · inbound

SYMBOLIZER: Symbolic Model-free Task Planning with VLMs cites this paper.

SYMBOLIZER: Symbolic Model-free Task Planning with VLMs Generating consistent PDDL domains with Large Language Models

Reference 15

Resolution: metadata mismatch; arxiv_id, observed 2026-05-10T09:43:49.576770Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 4769cc8e-fd70-442a-adfa-e431bde9875c · inbound

AssemPlanner: A Multi-Agent Based Task Planning Framework for Flexible Assembly System cites this paper.

AssemPlanner: A Multi-Agent Based Task Planning Framework for Flexible Assembly System Generating consistent PDDL domains with Large Language Models

Reference 25

Resolution: verified exact; arxiv_id, observed 2026-05-12T07:51:45.920613Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 2ce27cd5-ad84-4f00-a9dd-0a0d0ee874fc · inbound

Shaping Schema via Language Representation as the Next Frontier for LLM Intelligence Expanding cites this paper.

Shaping Schema via Language Representation as the Next Frontier for LLM Intelligence Expanding Generating consistent PDDL domains with Large Language Models

Reference 80

Resolution: metadata mismatch; arxiv_id, observed 2026-05-12T05:41:27.156104Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.