Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Preliminary Exploration of Formula Embedding for Mathematical Information Retrieval: can mathematical formulae be embedded like a natural language?
As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:1707.05154.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-10T14:50:47.456608Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-06T00:55:33.509496Z
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 de8113e1-2efd-4ff3-afe6-f925b8d57497 · inbound
E-Gen: Leveraging E-Graphs to Improve Continuous Representations of Symbolic Expressions cites this paper.
E-Gen: Leveraging E-Graphs to Improve Continuous Representations of Symbolic Expressions Preliminary Exploration of Formula Embedding for Mathematical Information Retrieval: can mathematical formulae be embedded like a natural language?
Reference 11
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T14:50:47.456608Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 88f00ea1-bbb5-4944-88e5-9e52ea275aeb · inbound
SSEmb: A Joint Structural and Semantic Embedding Framework for Mathematical Formula Retrieval cites this paper.
SSEmb: A Joint Structural and Semantic Embedding Framework for Mathematical Formula Retrieval Preliminary Exploration of Formula Embedding for Mathematical Information Retrieval: can mathematical formulae be embedded like a natural language?
Reference 5
- Resolution
- verified exact
- local_arxiv, observed 2026-08-06T00:55:33.575418Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation d8e92064-5a3e-4e45-9975-5039b2c6d6c1 · inbound
Syntax Meets Semantics: Understanding Scientific Formulae cites this paper.
Syntax Meets Semantics: Understanding Scientific Formulae Preliminary Exploration of Formula Embedding for Mathematical Information Retrieval: can mathematical formulae be embedded like a natural language?
Reference 7
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T06:59:19.595007Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.