Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Posterior calibration and exploratory analysis for natural language processing models
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:1508.05154.
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 2026-08-08T06:32:00.761636+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T12:40:23.140874Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-12T08:01:31.141395Z
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 fca23586-df35-4a81-a7b0-d268fe3008de · inbound
Rationales Are Not Silver Bullets: Measuring the Impact of Rationales on Model Performance and Reliability cites this paper.
Rationales Are Not Silver Bullets: Measuring the Impact of Rationales on Model Performance and Reliability Posterior calibration and exploratory analysis for natural language processing models
Reference 33
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T12:40:23.140874Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1e94fe24-0e3f-4ef5-871f-383b9651efb3 · inbound
Clustered Calibration: Representation-Aware Probability Calibration via Learned Subpopulations cites this paper.
Clustered Calibration: Representation-Aware Probability Calibration via Learned Subpopulations Posterior calibration and exploratory analysis for natural language processing models
Reference 4
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T08:46:32.878121Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b774cced-7182-4712-b2c4-fcd4a96029b6 · inbound
Generative Cross-Entropy: A Strictly Proper Loss for Data-Efficient Classification cites this paper.
Generative Cross-Entropy: A Strictly Proper Loss for Data-Efficient Classification Posterior calibration and exploratory analysis for natural language processing models
Reference 5
- Resolution
- verified exact
- arxiv_id, observed 2026-07-04T20:33:12.746265Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 931855af-3754-4605-9560-e1e1b44274bc · inbound
Generative Cross-Entropy: A Strictly Proper Loss for Data-Efficient Classification cites this paper.
Generative Cross-Entropy: A Strictly Proper Loss for Data-Efficient Classification Posterior calibration and exploratory analysis for natural language processing models
Reference 5
- Resolution
- verified exact
- arxiv_id, observed 2026-07-04T20:33:12.746265Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.