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Paper Citation Record · LEDGER

Quantification via Gaussian Latent Space Representations

As of 18 August 2026, this Paper Citation Record lists 12 of 12 outbound references and 0 inbound Pith citation observations for arXiv:2501.13638.

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

pith.paper-citation-record.v1
2501.13638 v1

Coverage vector

measured 12 of 12 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T15:48:07.147501Z

measured 12 of 12 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 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

12 of 12 outbound references displayed

  • verified exact3
  • verified fuzzy2
  • unresolved6
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation cc55cbe0-16bf-48ec-9d58-c6118ca37acf · outbound

This paper cites Quantification via Prob- ability Estimators.

Quantification via Gaussian Latent Space Representations Quantification via Prob- ability Estimators

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T15:48:07.438746Z

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=2026-08-10T15:48:07.116345Z digest=sha256:25ca2c598f27c6a000ac3a821aad5288edd7bd03702121eb8049febcaa56e2b0

Observation 32e52a72-575e-4b58-a254-37d9ca4fc0ef · outbound

This paper cites On Learning from Label Proportions.

Quantification via Gaussian Latent Space Representations On Learning from Label Proportions

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-10T15:48:07.147501Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T15:48:07.147501Z digest=sha256:799a46c29ad2f5cf051d21286e1d1fdf5c1cd766230317a11755dca3018b14b7

Observation 8caa4f22-621d-4af8-9931-a8fb716c8dfe · outbound

This paper cites doi:10.1162/089976602753284446.

Quantification via Gaussian Latent Space Representations doi:10.1162/089976602753284446

Reference 2002

Resolution
unresolved
no resolver link, observed 2026-08-10T15:48:07.131879Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T15:48:07.131879Z digest=sha256:f3c83446798afd85ff694916304f71399ba3ffeba8882a905418b11bc5b31df4

Observation 68ec583b-5804-4120-ac9d-d42ffcd2934d · outbound

This paper cites doi:10.1007/s10618-008-0097-y.

Quantification via Gaussian Latent Space Representations doi:10.1007/s10618-008-0097-y

Reference 2008

Resolution
unresolved
no resolver link, observed 2026-08-10T15:48:07.110896Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T15:48:07.110896Z digest=sha256:f3a3a82e131bab83b290f591f802baac2386a5c0badc95e227ad56d80ae8b733

Observation 21cf4f08-95d6-4f78-9f61-5a8dc56efd69 · outbound

This paper cites ISSN: 2374-8486.

Quantification via Gaussian Latent Space Representations ISSN: 2374-8486

Reference 2010

Resolution
verified exact
doi, observed 2026-08-10T15:48:07.227052Z

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=2026-08-10T15:48:07.121502Z digest=sha256:c2b9e311b677e71742b5f90ac35419238315a255e35b9886415bf2715bf340e4

Observation 0c1ab514-91b7-4e54-919e-d078079cd2a6 · outbound

This paper cites doi:10.1016/j.ins.2012.05.028.

Quantification via Gaussian Latent Space Representations doi:10.1016/j.ins.2012.05.028

Reference 2013

Resolution
verified exact
doi, observed 2026-08-10T15:48:07.209951Z

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=2026-08-10T15:48:07.126642Z digest=sha256:1a3db7f9c5cf4c2ff189db67d27e8a9995766a7f958943e6f9436e3ac38f75cf

Observation faf6616c-9fae-4ae8-bf2e-a59c8cc9837b · outbound

This paper cites Lei Qi, Mohammed Khaleel, Wallapak Tavanapong, Adisak Sukul, and David Peterson.

Quantification via Gaussian Latent Space Representations Lei Qi, Mohammed Khaleel, Wallapak Tavanapong, Adisak Sukul, and David Peterson

Reference 2018

Resolution
metadata mismatch
raw_fallback, observed 2026-08-10T15:48:07.383312Z

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=2026-08-10T15:48:07.100453Z digest=sha256:42c87a96f64a0795a8b86006c6c20a30766cee1062ec431883068c8f176d35a3

Observation 9352e38c-d894-4f0b-909f-2d0b9156db32 · outbound

This paper cites Alejandro Moreo, Andrea Esuli, and Fabrizio Sebastiani.

Quantification via Gaussian Latent Space Representations Alejandro Moreo, Andrea Esuli, and Fabrizio Sebastiani

Reference 2020

Resolution
unresolved
no resolver link, observed 2026-08-10T15:48:07.142451Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T15:48:07.142451Z digest=sha256:46b98ea39b0344c8056d7aeaf4e9d084cfee770c4b7fb584873b65812f17e325

Observation 3cd6ab2a-740c-4cbc-a7b9-84263f844141 · outbound

This paper cites Maximum likelihood with bias-corrected calibration is hard-to-beat at label shift adaptation.

Quantification via Gaussian Latent Space Representations Maximum likelihood with bias-corrected calibration is hard-to-beat at label shift adaptation

Reference 2022

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T15:48:07.421898Z

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=2026-08-10T15:48:07.136943Z digest=sha256:d062efe3da07b99be2d6d643179a16532f1e2264c1f9001b65d63940e4c6d715

Observation 1bab30eb-c5f2-45d7-acec-5ab98ac1d18b · outbound

This paper cites A Comparative Evaluation of Quantification Methods.

Quantification via Gaussian Latent Space Representations A Comparative Evaluation of Quantification Methods

Reference 2023

Resolution
unresolved
no resolver link, observed 2026-08-10T15:48:07.088669Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T15:48:07.088669Z digest=sha256:eb2fbdb652faecc6238f321efbf8206433829a0dffcdee5432ea9a2917d4df67

Observation 7eb708d5-da00-4daf-8f40-464996578727 · outbound

This paper cites George Forman.

Quantification via Gaussian Latent Space Representations George Forman

Reference 2024

Resolution
verified exact
doi, observed 2026-08-10T15:48:07.256286Z

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=2026-08-10T15:48:07.105736Z digest=sha256:67e8c51c98ec784fb5d328df57e9629b6f4404b7c6e75570942002c94e97bcaf

Observation f92d9b4b-7506-4396-b9dc-9a70d8ad1552 · outbound

This paper cites URL http://www.sciencedirect.com/science/article/pii/ S0031320311002901.

Quantification via Gaussian Latent Space Representations URL http://www.sciencedirect.com/science/article/pii/ S0031320311002901

Reference 3203

Resolution
unresolved
no resolver link, observed 2026-08-10T15:48:07.095092Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T15:48:07.095092Z digest=sha256:7068f51186810eaddcb514e98cd144b4f5491dca15be3087f56ea7dab2a457ae

Pith citing papers

No inbound Pith citation observations are available.