Paper Citation Record · LEDGER

Depth-Width tradeoffs in Algorithmic Reasoning of Graph Tasks with Transformers

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2503.01805.

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

pith.paper-citation-record.v1
2503.01805 v3

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 2026-08-08T06:32:00.761636+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:42:55.833385Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-22T07:04:41.452756Z

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 9eab0b74-f8f8-4aa0-8d99-4d97292a4159 · inbound

Subquadratic Algorithms and Hardness for Attention with Any Temperature cites this paper.

Subquadratic Algorithms and Hardness for Attention with Any Temperature Depth-Width tradeoffs in Algorithmic Reasoning of Graph Tasks with Transformers

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-07T15:42:55.833385Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation afc4f8bc-6c7a-4e92-9acb-3c1aab59a1b7 · inbound

Deep sequence models tend to memorize geometrically; it is unclear why cites this paper.

Deep sequence models tend to memorize geometrically; it is unclear why Depth-Width tradeoffs in Algorithmic Reasoning of Graph Tasks with Transformers

Reference 196

Resolution: verified exact; arxiv_id, observed 2026-06-19T17:10:42.669147Z

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.

Observation cab3f13b-7161-477f-a62d-5b0dadce31d0 · inbound

Plain Transformers are Surprisingly Powerful Link Predictors cites this paper.

Plain Transformers are Surprisingly Powerful Link Predictors Depth-Width tradeoffs in Algorithmic Reasoning of Graph Tasks with Transformers

Reference 2018

Resolution: unresolved; no resolver link, observed 2026-08-03T05:44:25.595701Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 26740adb-71f0-4a0c-ace4-b178fc2be44b · inbound

Learning to Approximate Uniform Facility Location via Graph Neural Networks cites this paper.

Learning to Approximate Uniform Facility Location via Graph Neural Networks Depth-Width tradeoffs in Algorithmic Reasoning of Graph Tasks with Transformers

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-06-19T17:10:42.669147Z

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.

Observation f8aa2159-d5a1-4608-921c-6d8f1819c9da · inbound

Lost in Tokenization: Fundamental Trade-offs in Graph Tokenization for Transformers cites this paper.

Lost in Tokenization: Fundamental Trade-offs in Graph Tokenization for Transformers Depth-Width tradeoffs in Algorithmic Reasoning of Graph Tasks with Transformers

Reference 4

Resolution: verified exact; arxiv_id, observed 2026-06-19T17:10:42.669147Z

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.