Paper Citation Record · LEDGER

Formal Algorithms for Transformers

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 15 inbound Pith citation observations for arXiv:2207.09238.

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

pith.paper-citation-record.v1
2207.09238 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 15 of 15 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 15 of 15 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T00:26:30.960292Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

52
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 9bb6606d-3f55-472b-a431-4d0742abc47c · inbound

Transformers Learn Faster with Semantic Focus cites this paper.

Transformers Learn Faster with Semantic Focus Formal Algorithms for Transformers

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-07T00:26:30.960292Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 825c8457-34c1-4bfb-994d-802134064ad8 · inbound

InTraVisTo: Inside Transformer Visualisation Tool cites this paper.

InTraVisTo: Inside Transformer Visualisation Tool Formal Algorithms for Transformers

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-06T16:19:51.668567Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b0562e88-4f4c-41c1-a8ec-3a2a58c086d5 · inbound

What can we learn from signals and systems in a transformer? Insights for probabilistic modeling and inference architecture cites this paper.

What can we learn from signals and systems in a transformer? Insights for probabilistic modeling and inference architecture Formal Algorithms for Transformers

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-05T15:19:33.843685Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7fe056e8-ef95-44aa-8dff-ac2ef6b47d35 · inbound

MultiFluxAI Enhancing Platform Engineering with Advanced Agent-Orchestrated Retrieval Systems cites this paper.

MultiFluxAI Enhancing Platform Engineering with Advanced Agent-Orchestrated Retrieval Systems Formal Algorithms for Transformers

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-05T14:28:41.728152Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ca26beda-9e7c-4d77-b478-458d93057bf7 · inbound

Efficient Transformer-Inspired Variants of Physics-Informed Deep Operator Networks cites this paper.

Efficient Transformer-Inspired Variants of Physics-Informed Deep Operator Networks Formal Algorithms for Transformers

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-05T12:22:09.858106Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b31eb78f-2480-4abe-aca7-4671c5fad3a7 · inbound

Weaves, Wires, and Morphisms: Formalizing and Implementing the Algebra of Deep Learning cites this paper.

Weaves, Wires, and Morphisms: Formalizing and Implementing the Algebra of Deep Learning Formal Algorithms for Transformers

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-05-10T23:55:50.615737Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation c4768815-2771-483a-a35b-4a56947d8c22 · inbound

A Meta Reinforcement Learning Approach to Goals-Based Wealth Management cites this paper.

A Meta Reinforcement Learning Approach to Goals-Based Wealth Management Formal Algorithms for Transformers

Reference 266

Resolution: verified exact; arxiv_id, observed 2026-05-08T18:44:01.796452Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation c8c5f7f6-0a56-42f7-8737-89095e6eb4d1 · inbound

Lecture Notes on Statistical Physics and Neural Networks cites this paper.

Lecture Notes on Statistical Physics and Neural Networks Formal Algorithms for Transformers

Reference 43

Resolution: verified exact; arxiv_id, observed 2026-05-11T22:06:24.974809Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 675fc558-c130-47fe-9485-c188132a2f1a · inbound

Attention-based graph neural networks: a survey cites this paper.

Attention-based graph neural networks: a survey Formal Algorithms for Transformers

Reference 178

Resolution: metadata mismatch; arxiv_id, observed 2026-05-12T08:26:24.910970Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation ecfbf3dd-7f04-4023-aabf-6fc9c1e848b0 · inbound

Monetary Policy in the Media Spotlight: Sentiments, Signals, and Economic Impact cites this paper.

Monetary Policy in the Media Spotlight: Sentiments, Signals, and Economic Impact Formal Algorithms for Transformers

Reference 96

Resolution: metadata mismatch; arxiv_id, observed 2026-05-15T02:58:33.865028Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation b2dda6a9-3318-49e7-83e7-e22d54b0c57f · inbound

Transformer-like Inference from Optimal Control cites this paper.

Transformer-like Inference from Optimal Control Formal Algorithms for Transformers

Reference 1

Resolution: verified exact; arxiv_id, observed 2026-05-20T21:24:03.137173Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 54335c96-d5d0-48c7-af8f-5ba762c0d32d · inbound

Temporal Task Diversity: Inductive Biases Under Non-Stationarity in Synthetic Sequence Modelling cites this paper.

Temporal Task Diversity: Inductive Biases Under Non-Stationarity in Synthetic Sequence Modelling Formal Algorithms for Transformers

Reference 35

Resolution: verified exact; arxiv_id, observed 2026-05-20T12:33:16.820776Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 6265a17e-d8ce-4373-b3b0-3803e4a987d6 · inbound

Polynomial Context-Truncation Sensitivity in Autoregressive Language Models: Sequential Wyner-Ziv Bounds for KV Cache Compression cites this paper.

Polynomial Context-Truncation Sensitivity in Autoregressive Language Models: Sequential Wyner-Ziv Bounds for KV Cache Compression Formal Algorithms for Transformers

Reference 42

Resolution: verified exact; arxiv_id, observed 2026-06-30T00:04:06.984022Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation a61d3b5c-5bee-4b11-86fb-805967c1fb01 · inbound

Activation- and Influence-Aware Ranks (AIR): Function-Preserving SVD Compression for LLMs cites this paper.

Activation- and Influence-Aware Ranks (AIR): Function-Preserving SVD Compression for LLMs Formal Algorithms for Transformers

Reference 90

Resolution: metadata mismatch; arxiv_id, observed 2026-07-04T03:19:31.582322Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 15aaff54-fe31-46c7-a987-dba11f36399a · inbound

FastTPS: An Optimized Method for LLM Token Phase for AI accelerators cites this paper.

FastTPS: An Optimized Method for LLM Token Phase for AI accelerators Formal Algorithms for Transformers

Reference 16

Resolution: unresolved; no resolver link, observed 2026-07-14T06:16:09.070414Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.