Paper Citation Record · LEDGER

The geometry of hidden representations of large transformer models

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2302.00294.

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

pith.paper-citation-record.v1
2302.00294 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 2026-08-15T20:19:28.794855Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-10T09:26:59.664193Z

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 c185dd6d-2530-4d50-8b49-e2785480e3c9 · inbound

Lightweight Safety Classification Using Pruned Language Models cites this paper.

Lightweight Safety Classification Using Pruned Language Models The geometry of hidden representations of large transformer models

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-11T13:11:27.303789Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 10191737-9921-4609-b04b-0c8f92d193f6 · inbound

What's in a prompt? Language models encode literary style in prompt embeddings cites this paper.

What's in a prompt? Language models encode literary style in prompt embeddings The geometry of hidden representations of large transformer models

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-15T20:19:28.794855Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9fea802c-883a-4b05-bb88-5dc0faabb82d · inbound

Scene Generation at Absolute Scale: Utilizing Semantic and Geometric Guidance From Text for Accurate and Interpretable 3D Indoor Scene Generation cites this paper.

Scene Generation at Absolute Scale: Utilizing Semantic and Geometric Guidance From Text for Accurate and Interpretable 3D Indoor Scene Generation The geometry of hidden representations of large transformer models

Reference 22

Resolution: unresolved; no resolver link, observed 2026-07-14T21:37:04.895721Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a96477ff-be03-4225-bf70-9acd2b409cdf · inbound

RDP LoRA: Geometry-Driven Identification for Parameter-Efficient Adaptation in Large Language Models cites this paper.

RDP LoRA: Geometry-Driven Identification for Parameter-Efficient Adaptation in Large Language Models The geometry of hidden representations of large transformer models

Reference 9

Resolution: verified exact; arxiv_id, observed 2026-05-11T13:01:25.027251Z

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.

Observation e0c7e869-80a5-4c0a-b917-84c11321def0 · inbound

Riemannian Geometry for Pre-trained Language Model Embeddings cites this paper.

Riemannian Geometry for Pre-trained Language Model Embeddings The geometry of hidden representations of large transformer models

Reference 54

Resolution: verified exact; local_arxiv, observed 2026-07-09T21:16:34.195918Z

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.

Observation fe2443bd-8fc2-41cb-8ada-62c99b498ee5 · inbound

Texture Representations in Deep Vision Models: Comparing CNNs, Vision Transformers, and Human Perception cites this paper.

Texture Representations in Deep Vision Models: Comparing CNNs, Vision Transformers, and Human Perception The geometry of hidden representations of large transformer models

Reference 60

Resolution: metadata mismatch; local_arxiv, observed 2026-07-10T09:26:59.666070Z

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.

Observation 1796e0fd-ede5-4d40-aeb9-f5312a6a7275 · inbound

Verbalizable Representations Form a Global Workspace in Language Models cites this paper.

Verbalizable Representations Form a Global Workspace in Language Models The geometry of hidden representations of large transformer models

Reference 168

Resolution: unresolved; no resolver link, observed 2026-08-01T23:15:30.849579Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.