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Paper Citation Record · LEDGER

Neuro-Symbolic World Models for Adapting to Open World Novelty

As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2301.06294.

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

pith.paper-citation-record.v1
2301.06294 v1

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 2026-08-15T06:32:42.880941+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T14:22:35.617049Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-23T07:02:41.477443Z

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 c30198f3-d8fa-4913-98a4-b485a38caa23 · inbound

Physically Interpretable World Models via Weakly Supervised Representation Learning cites this paper.

Physically Interpretable World Models via Weakly Supervised Representation Learning Neuro-Symbolic World Models for Adapting to Open World Novelty

Reference 4

Resolution
verified exact
arxiv_id, observed 2026-05-23T07:02:41.479874Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-05-23T07:00:46.917344Z digest=sha256:0c8dd1886aaea2d159cab196ede068331e031aceeef01a63db0d98ad051844d3

Observation 8cc63c97-a8d8-41d0-997f-11b7a4921556 · inbound

Few-Shot Neuro-Symbolic Imitation Learning for Long-Horizon Planning and Acting cites this paper.

Few-Shot Neuro-Symbolic Imitation Learning for Long-Horizon Planning and Acting Neuro-Symbolic World Models for Adapting to Open World Novelty

Reference 2023

Resolution
unresolved
no resolver link, observed 2026-08-05T14:22:35.617049Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T14:22:35.617049Z digest=sha256:95cb47f4594767f9c866da2837d92e021029a89fbfadfa3619f1aaae869cde66