Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
A New Unbiased and Efficient Class of LSH-Based Samplers and Estimators for Partition Function Computation in Log-Linear Models
As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:1703.05160.
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 2026-08-10T20:24:04.709344Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-12T06:11:26.989261Z
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 c4192a6f-0fd0-4050-9f51-61eaa1c0821c · inbound
Real-time Indexing for Large-scale Recommendation by Streaming Vector Quantization Retriever cites this paper.
Real-time Indexing for Large-scale Recommendation by Streaming Vector Quantization Retriever A New Unbiased and Efficient Class of LSH-Based Samplers and Estimators for Partition Function Computation in Log-Linear Models
Reference 16
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T20:24:04.709344Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation eaea2163-9c0a-4ff0-a091-0c98e40a8c06 · inbound
Positional LSH: Binary Block Matrix Approximation for Attention with Linear Biases cites this paper.
Positional LSH: Binary Block Matrix Approximation for Attention with Linear Biases A New Unbiased and Efficient Class of LSH-Based Samplers and Estimators for Partition Function Computation in Log-Linear Models
Reference 47
- Resolution
- verified exact
- arxiv_id, observed 2026-07-04T21:49:36.424616Z
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 bc1f284a-4c2a-4860-be8f-bee74b17dc38 · inbound
OneShot: Index-in-Ranking with Neural Scoring for Large-Scale Retrieval cites this paper.
OneShot: Index-in-Ranking with Neural Scoring for Large-Scale Retrieval A New Unbiased and Efficient Class of LSH-Based Samplers and Estimators for Partition Function Computation in Log-Linear Models
Reference 37
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T07:21:46.147370Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ac5968b0-11ad-4c9b-a909-aaf8b1a89777 · inbound
OneShot: Index-in-Ranking with Neural Scoring for Large-Scale Retrieval cites this paper.
OneShot: Index-in-Ranking with Neural Scoring for Large-Scale Retrieval A New Unbiased and Efficient Class of LSH-Based Samplers and Estimators for Partition Function Computation in Log-Linear Models
Reference 37
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T01:45:22.052978Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.