Paper Citation Record · LEDGER

Hierarchical Transformers Are More Efficient Language Models

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2110.13711.

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

pith.paper-citation-record.v1
2110.13711 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 7 of 7 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T04:49:39.464622Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-16T07:00:43.015816Z

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 52ffc9e7-f85c-4950-b102-34fc4fd1a9aa · inbound

MuSiCNet: A Gradual Coarse-to-Fine Framework for Irregularly Sampled Multivariate Time Series Analysis cites this paper.

MuSiCNet: A Gradual Coarse-to-Fine Framework for Irregularly Sampled Multivariate Time Series Analysis Hierarchical Transformers Are More Efficient Language Models

Reference 2015

Resolution: unresolved; no resolver link, observed 2026-08-12T04:49:39.464622Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e2c998d4-cda5-43db-9953-4c3eea8c91f0 · inbound

Meshtron: High-Fidelity, Artist-Like 3D Mesh Generation at Scale cites this paper.

Meshtron: High-Fidelity, Artist-Like 3D Mesh Generation at Scale Hierarchical Transformers Are More Efficient Language Models

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-11T16:59:17.274667Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c1ece4fd-c453-4518-829b-b590bc230090 · inbound

ShapeLLM-Omni: A Native Multimodal LLM for 3D Generation and Understanding cites this paper.

ShapeLLM-Omni: A Native Multimodal LLM for 3D Generation and Understanding Hierarchical Transformers Are More Efficient Language Models

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-07T11:37:27.875673Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b179f7b9-e9ad-4b40-8773-f360907b4bc1 · inbound

VideoPDE: Unified Generative PDE Solving via Video Inpainting Diffusion Models cites this paper.

VideoPDE: Unified Generative PDE Solving via Video Inpainting Diffusion Models Hierarchical Transformers Are More Efficient Language Models

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-07T00:31:13.942997Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6c4fde03-02e7-4b3e-a922-e05952aca607 · inbound

Synergy: End-to-end Concept Model cites this paper.

Synergy: End-to-end Concept Model Hierarchical Transformers Are More Efficient Language Models

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-06T16:45:34.588473Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0eb3e795-1ba5-45fe-bed3-4fff3bc1ada8 · inbound

Controllably Efficient Language Models cites this paper.

Controllably Efficient Language Models Hierarchical Transformers Are More Efficient Language Models

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-03T23:33:58.639384Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 77bb2196-1866-4ee1-99fd-3f4fec5d1262 · inbound

KRONE: Scalable LLM-Augmented Log Anomaly Detection via Hierarchical Abstraction cites this paper.

KRONE: Scalable LLM-Augmented Log Anomaly Detection via Hierarchical Abstraction Hierarchical Transformers Are More Efficient Language Models

Reference 17

Resolution: verified exact; arxiv_id, observed 2026-05-16T07:00:43.018230Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.