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Paper Citation Record · LEDGER

Symbolic Working Memory Enhances Language Models for Complex Rule Application

As of 6 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.

pith.paper-citation-record.v1
2408.13654 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 2026-08-06T06:34:29.942622+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-28T06:23:21.738795Z

measured 0 of 1 external citation measurements

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 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-08T19:34:02.860270Z digest=sha256:91b0e46aa2eb9766e50f7fdc8f10f6f3ad6934eb22157640ee983d223f1bc7eb

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 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-06-28T06:23:21.738795Z digest=sha256:861958f71c0441c0f501fb2091ff521859e4f5e2826b9273ee1e5fcfb8bb1d3a