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Paper Citation Record · LEDGER

Average-Hard Attention Transformers are Constant-Depth Uniform Threshold Circuits

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2308.03212.

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

pith.paper-citation-record.v1
2308.03212 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T04:59:08.731627Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-10T11:37:03.257809Z

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 5e8362be-6f0a-4a8c-9a01-03e2a3e326b5 · inbound

Lower Bounds for Chain-of-Thought Reasoning in Hard-Attention Transformers cites this paper.

Lower Bounds for Chain-of-Thought Reasoning in Hard-Attention Transformers Average-Hard Attention Transformers are Constant-Depth Uniform Threshold Circuits

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-09T12:23:57.829205Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T12:23:57.829205Z digest=sha256:8f8d8e56f393516e0fadb06167817cb16d4eaa44f126f6932a765629cfdc2539

Observation f125b8d1-327f-4444-a71b-e6f3b46b29a1 · inbound

BAR Conjecture: the Feasibility of Inference Budget-Constrained LLM Services with Authenticity and Reasoning cites this paper.

BAR Conjecture: the Feasibility of Inference Budget-Constrained LLM Services with Authenticity and Reasoning Average-Hard Attention Transformers are Constant-Depth Uniform Threshold Circuits

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-06T11:04:47.223422Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T11:04:47.223422Z digest=sha256:d1ab4479bec641fb6493dbeb0d0eb88e2ab6d9a42df328333ebe9d88d4f1ea0c

Observation b91be800-59b6-4fc9-8730-d150fc366dbe · inbound

On the Ability of Transformers to Verify Plans cites this paper.

On the Ability of Transformers to Verify Plans Average-Hard Attention Transformers are Constant-Depth Uniform Threshold Circuits

Reference 2

Resolution
unresolved
no resolver link, observed 2026-07-13T21:49:42.006847Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-13T21:49:42.006847Z digest=sha256:2bdf7c640eeb13ee92282477b192498ce54303f82370daeccdc26a9dac16ff80

Observation 1c6dacd6-29c8-4860-ad3e-ef6adafd1f0c · inbound

A First-Principles Theory of Slow Thinking and Active Perception cites this paper.

A First-Principles Theory of Slow Thinking and Active Perception Average-Hard Attention Transformers are Constant-Depth Uniform Threshold Circuits

Reference 148

Resolution
verified exact
local_arxiv, observed 2026-07-10T11:37:03.259993Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-07-10T11:32:24.374377Z digest=sha256:b5fd6970909f60d2ad669ee4f7a528ad1c7eaf94da95c28aa0f620ca62190084

Observation 063311ae-b30d-4602-acb3-c3dea78e7710 · inbound

On the Expressive Power of Transformers cites this paper.

On the Expressive Power of Transformers Average-Hard Attention Transformers are Constant-Depth Uniform Threshold Circuits

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-16T04:59:08.731627Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:59:08.731627Z digest=sha256:b131e1710b2961d49fbee93c8a803d78ecdffd7f8caa38c42dfd3ef6ea36964a