Paper Citation Record · LEDGER

Pretrained Transformers as Universal Computation Engines

As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2103.05247.

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

pith.paper-citation-record.v1
2103.05247 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 8 of 8 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T20:25:30.076090Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-15T19:47:13.917367Z

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 a92fb6f5-49ae-4ef6-8887-f7e7211874b8 · inbound

Perceiver IO: A General Architecture for Structured Inputs & Outputs cites this paper.

Perceiver IO: A General Architecture for Structured Inputs & Outputs Pretrained Transformers as Universal Computation Engines

Reference 49

Resolution: verified exact; arxiv_id, observed 2026-05-15T19:47:13.920997Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation fcf4203a-294f-4086-a5e6-9c0a2bab3cab · inbound

PaLM-E: An Embodied Multimodal Language Model cites this paper.

PaLM-E: An Embodied Multimodal Language Model Pretrained Transformers as Universal Computation Engines

Reference 24

Resolution: verified exact; arxiv_id, observed 2026-05-10T22:29:29.969876Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation ecc7acc1-1562-4e5a-a82c-275790004321 · inbound

The Platonic Representation Hypothesis cites this paper.

The Platonic Representation Hypothesis Pretrained Transformers as Universal Computation Engines

Reference 279

Resolution: verified exact; arxiv_id, observed 2026-05-15T06:03:56.800182Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation f08d268c-ae59-4721-b0d5-5c1a11ba7e5b · inbound

ProtGO: A Transformer based Fusion Model for accurately predicting Gene Ontology (GO) Terms from full scale Protein Sequences cites this paper.

ProtGO: A Transformer based Fusion Model for accurately predicting Gene Ontology (GO) Terms from full scale Protein Sequences Pretrained Transformers as Universal Computation Engines

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-11T20:25:30.076090Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e03474ce-9710-4a1d-95e0-4d12b285c070 · inbound

Transfer of Structural Knowledge from Synthetic Languages cites this paper.

Transfer of Structural Knowledge from Synthetic Languages Pretrained Transformers as Universal Computation Engines

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-07T15:15:46.496185Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 030f7d4a-de69-41f7-b607-de6a70895a74 · inbound

LLM4SG: Adapting Large Language Model for Scatterer Generation via Synesthesia of Machines cites this paper.

LLM4SG: Adapting Large Language Model for Scatterer Generation via Synesthesia of Machines Pretrained Transformers as Universal Computation Engines

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-07T14:44:02.294372Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1d57a6a4-cc7d-4532-9c06-d8c3d9dfcc5d · inbound

Random Initialization Can't Catch Up: The Advantage of Language Model Transfer for Time Series Forecasting cites this paper.

Random Initialization Can't Catch Up: The Advantage of Language Model Transfer for Time Series Forecasting Pretrained Transformers as Universal Computation Engines

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-07T04:16:21.575185Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5e00134b-a8d5-4690-9b9e-10afc12a8c35 · inbound

A Vision Toward Energy-Efficient Domain-Specific Artificial Intelligence Models and Agents cites this paper.

A Vision Toward Energy-Efficient Domain-Specific Artificial Intelligence Models and Agents Pretrained Transformers as Universal Computation Engines

Reference 166

Resolution: unresolved; no resolver link, observed 2026-08-04T08:12:26.469200Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.