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Paper Citation Record · LEDGER

Entity Tracking in Language Models

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2305.02363.

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

pith.paper-citation-record.v1
2305.02363 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 2026-08-08T06:32:00.761636+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:31:30.760228Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-18T13:22:37.645645Z

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 b7af2790-07a3-401f-a780-ea76db4044a9 · inbound

Scaling Laws for State Dynamics in Large Language Models cites this paper.

Scaling Laws for State Dynamics in Large Language Models Entity Tracking in Language Models

Reference 2023

Resolution
unresolved
no resolver link, observed 2026-08-07T15:31:30.760228Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:31:30.760228Z digest=sha256:dedff6593ad3b18e27473ade4d7338173a43f12710d827f5f2193b2d0c8bce1a

Observation b8bfd462-0526-4880-af5d-997f6e5c1031 · inbound

A Unifying Framework for Parallelizing Sequential Models with Linear Dynamical Systems cites this paper.

A Unifying Framework for Parallelizing Sequential Models with Linear Dynamical Systems Entity Tracking in Language Models

Reference 6

Resolution
verified exact
arxiv_id, observed 2026-05-18T13:22:37.648577Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-18T13:21:51.645056Z digest=sha256:b1b64774d5417cc3d730ea9ce039f72a39979f66f696a7696fd7fa129e5852f8