Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Symbolic Working Memory Enhances Language Models for Complex Rule Application
As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2408.13654.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-06-28T06:23:21.738795Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-02T08:06:47.998622Z
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 d3e0fb2d-2b30-423f-86a6-aeebd3a924af · inbound
VIDA: A dataset for Visually Dependent Ambiguity in Multimodal Machine Translation cites this paper.
VIDA: A dataset for Visually Dependent Ambiguity in Multimodal Machine Translation Symbolic Working Memory Enhances Language Models for Complex Rule Application
Reference 43
- Resolution
- verified exact
- arxiv_id, observed 2026-05-09T05:50:25.811690Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 5e20ae90-b51b-47f3-8dbb-f82b2f45ff5c · inbound
What Should Agents Say? Action-state Communication for Efficient Multi-Agent Systems cites this paper.
What Should Agents Say? Action-state Communication for Efficient Multi-Agent Systems Symbolic Working Memory Enhances Language Models for Complex Rule Application
Reference 20
- Resolution
- verified exact
- arxiv_id, observed 2026-07-02T08:06:48.000253Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.