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Paper Citation Record · LEDGER

HyperML: A Boosting Metric Learning Approach in Hyperbolic Space for Recommender Systems

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1809.01703.

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

pith.paper-citation-record.v1
1809.01703 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-14T12:20:12.942843Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T16:07:08.288662Z

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 e5f1c6d5-c628-461b-9eb7-c3f22d102579 · inbound

Hebbian Graph Embeddings cites this paper.

Hebbian Graph Embeddings HyperML: A Boosting Metric Learning Approach in Hyperbolic Space for Recommender Systems

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-14T12:20:12.942843Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T12:20:12.942843Z digest=sha256:ce496a65c91f7293423f9445f23fafa5889397e1e562a76da2f4370e4e839f64

Observation 74d77835-64e6-4e17-939f-c36018426955 · inbound

Group-Equivariant Poincar\'e Convolutional Networks cites this paper.

Group-Equivariant Poincar\'e Convolutional Networks HyperML: A Boosting Metric Learning Approach in Hyperbolic Space for Recommender Systems

Reference 43

Resolution
verified exact
arxiv_id, observed 2026-07-02T16:07:08.290322Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-07-02T16:01:53.876557Z digest=sha256:463e123cf50bfbf48889587328e76d51d7bed53da32e0b0c0bf260c8b970b023