Paper Citation Record · LEDGER

HAT: Hardware-Aware Transformers for Efficient Natural Language Processing

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2005.14187.

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

pith.paper-citation-record.v1
2005.14187 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T13:18:19.513815Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-20T14:03:20.548266Z

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 6350fcda-26d6-4d17-9b4d-cd09efc560d9 · inbound

Enhancing Video Understanding: Deep Neural Networks for Spatiotemporal Analysis cites this paper.

Enhancing Video Understanding: Deep Neural Networks for Spatiotemporal Analysis HAT: Hardware-Aware Transformers for Efficient Natural Language Processing

Reference 142

Resolution: unresolved; no resolver link, observed 2026-08-08T13:18:19.513815Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 764fc092-3ef1-4749-9335-818ff233ae8c · inbound

Hybrid SLC-MLC RRAM Mixed-Signal Processing-in-Memory Architecture for Transformer Acceleration via Gradient Redistribution cites this paper.

Hybrid SLC-MLC RRAM Mixed-Signal Processing-in-Memory Architecture for Transformer Acceleration via Gradient Redistribution HAT: Hardware-Aware Transformers for Efficient Natural Language Processing

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-07T15:30:54.153630Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 41e028b0-5cc8-4434-b108-a62cc2395abf · inbound

ESM: A Framework for Building Effective Surrogate Models for Hardware-Aware Neural Architecture Search cites this paper.

ESM: A Framework for Building Effective Surrogate Models for Hardware-Aware Neural Architecture Search HAT: Hardware-Aware Transformers for Efficient Natural Language Processing

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-06T05:40:27.231960Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 008c97d1-befe-4b1d-a130-1c2ae6667e79 · inbound

Spiking Neural Network Architecture Search: A Survey cites this paper.

Spiking Neural Network Architecture Search: A Survey HAT: Hardware-Aware Transformers for Efficient Natural Language Processing

Reference 133

Resolution: verified exact; arxiv_id, observed 2026-05-18T07:01:01.380324Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 1426f90d-0bec-4efa-9e88-4c5e23b818a7 · inbound

Elastic ViTs from Pretrained Models without Retraining cites this paper.

Elastic ViTs from Pretrained Models without Retraining HAT: Hardware-Aware Transformers for Efficient Natural Language Processing

Reference 70

Resolution: unresolved; no resolver link, observed 2026-08-04T09:03:09.479580Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bbf602cb-026f-49af-bef0-dc48d8b4bcf8 · inbound

LLMForge: Multi-Backend Hardware-Aware Neural Architecture Search with Infinite-Head Attention for Edge Language Models cites this paper.

LLMForge: Multi-Backend Hardware-Aware Neural Architecture Search with Infinite-Head Attention for Edge Language Models HAT: Hardware-Aware Transformers for Efficient Natural Language Processing

Reference 34

Resolution: verified exact; arxiv_id, observed 2026-05-20T14:03:20.550972Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.