Paper Citation Record · LEDGER

Continual Hyperbolic Learning of Instances and Classes

As of 7 August 2026, this Paper Citation Record lists 15 of 15 outbound references and 1 inbound Pith citation observation for arXiv:2506.10710.

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

pith.paper-citation-record.v1
2506.10710 v1

Coverage vector

measured 15 of 15 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T04:26:37.743830Z

measured 16 of 16 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-01T17:51:34.846527Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

15 of 15 outbound references displayed

verified exact4
verified fuzzy1
unresolved10
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation fedbd86a-3742-4d3d-9eab-2659f21ef9a1 · outbound

This paper cites Skip-gram word embeddings in hyperbolic space.

Continual Hyperbolic Learning of Instances and Classes Skip-gram word embeddings in hyperbolic space

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-07T04:26:37.699353Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 46488777-acd7-4786-b1f6-8d2f68398b3d · outbound

This paper cites Disentangling the Causes of Plasticity Loss in Neural Networks.

Continual Hyperbolic Learning of Instances and Classes Disentangling the Causes of Plasticity Loss in Neural Networks

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-07T04:26:37.704650Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9b4baba6-ec6c-4f5e-9605-13353945f2dc · outbound

This paper cites clvision-challenge-2022 reports.https://github.com/ContinualAI/ clvision-challenge-2022/tree/main/reports,.

Continual Hyperbolic Learning of Instances and Classes clvision-challenge-2022 reports.https://github.com/ContinualAI/ clvision-challenge-2022/tree/main/reports,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:26:38.011906Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation d010e01e-d6a3-4a2f-860b-ddfea9f6caed · outbound

This paper cites Hyperbolic Neural Networks++.

Continual Hyperbolic Learning of Instances and Classes Hyperbolic Neural Networks++

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-07T04:26:37.724508Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 836994ce-6ef0-4cf9-9843-aaef408652cb · outbound

This paper cites Poincar\'e GloVe: Hyperbolic Word Embeddings.

Continual Hyperbolic Learning of Instances and Classes Poincar\'e GloVe: Hyperbolic Word Embeddings

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-07T04:26:37.730050Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4377d58d-c295-4123-841e-2aa5d1817627 · outbound

This paper cites Hyperbolic Contrastive Learning.

Continual Hyperbolic Learning of Instances and Classes Hyperbolic Contrastive Learning

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-07T04:26:37.739228Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 64fd80f3-6896-4a68-9c14-d1706b4e2432 · outbound

This paper cites A Model or 603 Exemplars: Towards Memory-Efficient Class-Incremental Learning.

Continual Hyperbolic Learning of Instances and Classes A Model or 603 Exemplars: Towards Memory-Efficient Class-Incremental Learning

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-07T04:26:37.743830Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6ea4670c-a54b-4648-bbec-88b3e4d09aa9 · outbound

This paper cites Geoopt: Riemannian Optimization in PyTorch.

Continual Hyperbolic Learning of Instances and Classes Geoopt: Riemannian Optimization in PyTorch

Reference 2017

Resolution: unresolved; no resolver link, observed 2026-08-07T04:26:37.694321Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5d2881ca-d167-48d7-b3ca-98948940f64f · outbound

This paper cites Leveraging Hierarchical Taxonomies in Prompt-based Continual Learning.

Continual Hyperbolic Learning of Instances and Classes Leveraging Hierarchical Taxonomies in Prompt-based Continual Learning

Reference 2018

Resolution: verified exact; local_arxiv, observed 2026-08-07T04:26:37.815690Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 40a6328a-faf8-4e41-b3f8-803934ca0091 · outbound

This paper cites Efficient Lifelong Learning with A-GEM.

Continual Hyperbolic Learning of Instances and Classes Efficient Lifelong Learning with A-GEM

Reference 2019

Resolution: unresolved; no resolver link, observed 2026-08-07T04:26:37.667468Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ff5c4f2f-88f6-4197-84a7-13bda0c00a73 · outbound

This paper cites Embedding Text in Hyperbolic Spaces.

Continual Hyperbolic Learning of Instances and Classes Embedding Text in Hyperbolic Spaces

Reference 2020

Resolution: unresolved; no resolver link, observed 2026-08-07T04:26:37.683300Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 03a7a0fa-0a8f-4e65-a31f-c8a87a7ca0f7 · outbound

This paper cites APo-VAE: Text Generation in Hyperbolic Space.

Continual Hyperbolic Learning of Instances and Classes APo-VAE: Text Generation in Hyperbolic Space

Reference 2021

Resolution: verified exact; local_arxiv, observed 2026-08-07T04:26:37.982157Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 33a607c8-2521-4662-a2f2-a00d9610eb02 · outbound

This paper cites 3rd Continual Learning Workshop Challenge on Egocentric Category and Instance Level Object Understanding.

Continual Hyperbolic Learning of Instances and Classes 3rd Continual Learning Workshop Challenge on Egocentric Category and Instance Level Object Understanding

Reference 2022

Resolution: verified exact; local_arxiv, observed 2026-08-07T04:26:37.865511Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 0fbfe507-a597-4ab7-85f4-557b05fd374d · outbound

This paper cites An Empirical Analysis of Forgetting in Pre-trained Models with Incremental Low-Rank Updates.

Continual Hyperbolic Learning of Instances and Classes An Empirical Analysis of Forgetting in Pre-trained Models with Incremental Low-Rank Updates

Reference 2024

Resolution: verified exact; local_arxiv, observed 2026-08-07T04:26:37.886984Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation e66fc246-5b4c-41f8-abb5-d25edd1bff13 · outbound

This paper cites Distilling the Knowledge in a Neural Network.

Continual Hyperbolic Learning of Instances and Classes Distilling the Knowledge in a Neural Network

Reference 2025

Resolution: unresolved; no resolver link, observed 2026-08-07T04:26:37.689028Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation b69d2f5f-1f71-470f-a140-17e34e86c44c · inbound

After the Euclidean Highway: Hyperbolic Expert AI as the Next Innovation cites this paper.

After the Euclidean Highway: Hyperbolic Expert AI as the Next Innovation Continual Hyperbolic Learning of Instances and Classes

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-01T17:51:34.846527Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.