Pith. sign in

Paper Citation Record · LEDGER

Learning More Expressive General Policies for Classical Planning Domains

As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2403.11734.

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

pith.paper-citation-record.v1
2403.11734 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T04:47:16.751169Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-11T23:51:54.084906Z

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 f9ddce6b-ac4c-4aae-bd01-4e2d7121dd03 · inbound

Graph Learning for Planning: The Story Thus Far and Open Challenges cites this paper.

Graph Learning for Planning: The Story Thus Far and Open Challenges Learning More Expressive General Policies for Classical Planning Domains

Reference 61

Resolution
verified exact
local_arxiv, observed 2026-08-11T23:51:54.092472Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-11T23:51:53.757492Z digest=sha256:2b37fe3fbaa272e9f9981ece75e895130b73d4794577b6335a0ae573df6e1c7f

Observation cde11f07-bfad-48ed-b2aa-de1b5fe71739 · inbound

Per-Domain Generalizing Policies: On Validation Instances and Scaling Behavior cites this paper.

Per-Domain Generalizing Policies: On Validation Instances and Scaling Behavior Learning More Expressive General Policies for Classical Planning Domains

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-16T04:47:16.751169Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T04:47:16.751169Z digest=sha256:9d2d1cd6d7ff281ac6db01828c55e4be7e76b01ff3fcf1cc7d8bf0c1e77afc7b