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Paper Citation Record · LEDGER

Limits of Deep Learning: Sequence Modeling through the Lens of Complexity Theory

As of 31 July 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2405.16674.

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

pith.paper-citation-record.v1
2405.16674 v3

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 2026-07-31T06:34:12.847434+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-28T15:48:48.046003Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-01T22:06:16.206507Z

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 7249d233-46d6-4127-b726-431f10b1bec8 · inbound

The Illusion of Thinking: Understanding the Strengths and Limitations of Reasoning Models via the Lens of Problem Complexity cites this paper.

The Illusion of Thinking: Understanding the Strengths and Limitations of Reasoning Models via the Lens of Problem Complexity Limits of Deep Learning: Sequence Modeling through the Lens of Complexity Theory

Reference 36

Resolution
verified exact
arxiv_id, observed 2026-05-15T16:10:31.545855Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-31T06:34:12.847434+00:00.

source=pdf_text observed=2026-05-15T16:10:31.440921Z digest=sha256:c5f9b56ed59d5ac25c3b2fe0af7a3e20e9c956b81b16d2ec352607a10b7b780b

Observation 7e7115c1-01b0-446d-92b8-e5c20fb144cc · inbound

Rethinking the Role of Positional Encoding: Sliding-Window Transformers without PE Remain Turing Complete cites this paper.

Rethinking the Role of Positional Encoding: Sliding-Window Transformers without PE Remain Turing Complete Limits of Deep Learning: Sequence Modeling through the Lens of Complexity Theory

Reference 46

Resolution
metadata mismatch
arxiv_id, observed 2026-07-01T22:06:16.207866Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-31T06:34:12.847434+00:00.

source=arxiv_source observed=2026-06-28T15:48:48.046003Z digest=sha256:0e684072e8e67d4a0f8706202a59e59beef95ab64ea1750b7f9310ad8e98d1b3