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Paper Citation Record · LEDGER

Regression Prior Networks

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2006.11590.

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

pith.paper-citation-record.v1
2006.11590 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:19:06.854651Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T00:59:19.917938Z

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 c470a6cd-1a9a-4b95-9d24-f9d51a5a6a93 · inbound

Semantic Uncertainty: Linguistic Invariances for Uncertainty Estimation in Natural Language Generation cites this paper.

Semantic Uncertainty: Linguistic Invariances for Uncertainty Estimation in Natural Language Generation Regression Prior Networks

Reference 14

Resolution
metadata mismatch
arxiv_id, observed 2026-05-12T18:00:05.412789Z

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.

source=pdf_text observed=2026-05-12T18:00:05.294144Z digest=sha256:46351e56d62cdc6651f132b9d3ffafa2528bda3343bbad4c8b01f915614e0541

Observation feb7103b-4252-45f6-a161-418afca5411e · inbound

Enhancing Uncertainty Estimation and Interpretability via Bayesian Non-negative Decision Layer cites this paper.

Enhancing Uncertainty Estimation and Interpretability via Bayesian Non-negative Decision Layer Regression Prior Networks

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-07T13:19:06.854651Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T13:19:06.854651Z digest=sha256:9d54f1d71c8df561978808acd9df48858e56d7fe0171a10c08c523d08991ea1f

Observation 97292e53-61df-4671-8358-f73e9fe0b65a · inbound

Uncertainty Quantification for Regression: A Unified Framework based on kernel scores cites this paper.

Uncertainty Quantification for Regression: A Unified Framework based on kernel scores Regression Prior Networks

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-04T07:38:51.718917Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T07:38:51.718917Z digest=sha256:2f8daa55ab878f3a41334b3321c3ce9d6844eee521a50870895af1d05f6936b3

Observation dbb92a1a-0d56-40b3-8c4c-778a3918c4cd · inbound

Plug-in Losses for Evidential Deep Learning: A Simplified Framework for Uncertainty Estimation that Includes the Softmax Classifier cites this paper.

Plug-in Losses for Evidential Deep Learning: A Simplified Framework for Uncertainty Estimation that Includes the Softmax Classifier Regression Prior Networks

Reference 26

Resolution
verified exact
arxiv_id, observed 2026-05-22T07:01:11.611557Z

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.

source=arxiv_source observed=2026-05-22T07:00:09.840581Z digest=sha256:bf1e1cd281c85d9820ca4a533952e3c90371517c9813f3e97ea6bf42df0fe33b

Observation 4294acdd-da82-4ae6-9bc6-01b82255ca22 · inbound

On the QUEST for Uncertainty Quantification via Highest Density Regions cites this paper.

On the QUEST for Uncertainty Quantification via Highest Density Regions Regression Prior Networks

Reference 36

Resolution
metadata mismatch
arxiv_id, observed 2026-07-04T00:59:19.921400Z

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.

source=pdf_text observed=2026-06-26T20:50:20.633948Z digest=sha256:5715abfe9569e69edd6c6efc9f8eff29e2a9c85a02f14169e6e505600c675b6f

Observation 1eaf9f8f-2aaa-4e86-984a-e71813ade787 · inbound

An Epistemic Position-Based Click Model: From Interactions to Epistemic Distributions of Relevance and Bias cites this paper.

An Epistemic Position-Based Click Model: From Interactions to Epistemic Distributions of Relevance and Bias Regression Prior Networks

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-01T14:39:52.222324Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T14:39:52.222324Z digest=sha256:846361a9cfbff17ad52bc2ae7e29d1510992e9e4991c96acbd188ba0f67d7552