Paper Citation Record · LEDGER

WALL-E 2.0: World Alignment by NeuroSymbolic Learning improves World Model-based LLM Agents

As of 5 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2504.15785.

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

pith.paper-citation-record.v1
2504.15785 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 2026-08-04T06:34:03.388597+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-03T21:20:40.795352Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-19T21:47:48.355586Z

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 381b2162-d7f1-4777-a4eb-60a0063f497a · inbound

Mini Amusement Parks (MAPs): A Testbed for Modelling Business Decisions cites this paper.

Mini Amusement Parks (MAPs): A Testbed for Modelling Business Decisions WALL-E 2.0: World Alignment by NeuroSymbolic Learning improves World Model-based LLM Agents

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-03T21:20:40.795352Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation da0d837b-eb56-46b4-8b67-6b4ca753ecba · inbound

Kintsugi: Learning Policies by Repairing Executable Knowledge Bases cites this paper.

Kintsugi: Learning Policies by Repairing Executable Knowledge Bases WALL-E 2.0: World Alignment by NeuroSymbolic Learning improves World Model-based LLM Agents

Reference 37

Resolution: verified exact; arxiv_id, observed 2026-05-12T06:31:28.588631Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 7dcc7dfa-c9a0-48f2-ada5-7352a5bafeeb · inbound

Grounded Continuation: A Linear-Time Runtime Verifier for LLM Conversations cites this paper.

Grounded Continuation: A Linear-Time Runtime Verifier for LLM Conversations WALL-E 2.0: World Alignment by NeuroSymbolic Learning improves World Model-based LLM Agents

Reference 24

Resolution: metadata mismatch; arxiv_id, observed 2026-05-15T04:49:44.477072Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 90503fca-99b0-4e97-b4d3-dfb8bc452255 · inbound

Baba in Wonderland: Online Self-Supervised Dynamics Discovery for Executable World Models cites this paper.

Baba in Wonderland: Online Self-Supervised Dynamics Discovery for Executable World Models WALL-E 2.0: World Alignment by NeuroSymbolic Learning improves World Model-based LLM Agents

Reference 36

Resolution: verified exact; arxiv_id, observed 2026-05-19T21:47:48.357306Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.