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Paper Citation Record · LEDGER

Generalized Distribution-Free Semi-Supervised Learning with Risk Rewrite

As of 4 August 2026, this Paper Citation Record lists 12 of 12 outbound references and 0 inbound Pith citation observations for arXiv:2607.11947.

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

pith.paper-citation-record.v1
2607.11947 v2

Coverage vector

measured 12 of 12 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-02T07:24:26.017929Z

measured 12 of 12 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-04T06:34:03.388597+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 fuzzy0
  • unresolved9
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 570ec6dc-c5b9-4809-b6f2-09bcadf15e43 · outbound

This paper cites Using the ν-cover Cν, we can bound the deviation for any g∈ Gby mapping it to its closest element g′ ∈C ν.

Generalized Distribution-Free Semi-Supervised Learning with Risk Rewrite Using the ν-cover Cν, we can bound the deviation for any g∈ Gby mapping it to its closest element g′ ∈C ν

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-02T07:24:25.889706Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T07:24:25.889706Z digest=sha256:b432a4358b78bf742d0f06e37c2c65081df7fabc42e75f96a08f5a99e977dcb1

Observation 04623bdc-a659-49a5-b538-af88f11b0e85 · outbound

This paper cites an unresolved cited work.

Generalized Distribution-Free Semi-Supervised Learning with Risk Rewrite Unresolved cited work

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-02T07:24:25.780904Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T07:24:25.780904Z digest=sha256:3090f9b808ebf8f91233b61d3c8a8838ac3ef750dbc287d0adc6ffa37d95af54

Observation d2e3fd1b-f0c3-4f03-9244-d89ac07f2166 · outbound

This paper cites NN on” is the default method with the non-negative risk correction, and “NN off.

Generalized Distribution-Free Semi-Supervised Learning with Risk Rewrite NN on” is the default method with the non-negative risk correction, and “NN off

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-02T07:24:26.017929Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T07:24:26.017929Z digest=sha256:310260350d6756f539a21abf4c85afe6f534e96d8e199cb04fcf366537d81ec3

Observation 7e67ab0d-326e-4515-a728-48a06db22cb6 · outbound

This paper cites Qizhe Xie, Zihang Dai, Eduard Hovy, Minh-Thang Luong, and Quoc V.

Generalized Distribution-Free Semi-Supervised Learning with Risk Rewrite Qizhe Xie, Zihang Dai, Eduard Hovy, Minh-Thang Luong, and Quoc V

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-02T07:24:25.431123Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T07:24:25.431123Z digest=sha256:d534bd90948b9c74ba79c2dc58b7820bf8d667298dd0905a3fe4c9e7a8f92e95

Observation e3c67248-d771-4b9d-9b9d-01d8a97c0e30 · outbound

This paper cites an unresolved cited work.

Generalized Distribution-Free Semi-Supervised Learning with Risk Rewrite Unresolved cited work

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-02T07:24:25.954878Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T07:24:25.954878Z digest=sha256:6a88edb8203ffd5d11f7e7516306b2755c349cd94919c080354c8d6f981d6681

Observation abe934e8-81bc-48fc-bf6b-46a77aed5839 · outbound

This paper cites doi: 10.3115/981658.981684.

Generalized Distribution-Free Semi-Supervised Learning with Risk Rewrite doi: 10.3115/981658.981684

Reference 1995

Resolution
unresolved
no resolver link, observed 2026-08-02T07:24:25.550238Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T07:24:25.550238Z digest=sha256:b4f6c77c3f8815bcdd6c5fd8021ea485bda31052f2c9e614540f96273eea0650

Observation 4f056427-b325-4b0c-ab72-cf433f4caaef · outbound

This paper cites an unresolved cited work.

Generalized Distribution-Free Semi-Supervised Learning with Risk Rewrite Unresolved cited work

Reference 2005

Resolution
verified exact
doi, observed 2026-08-02T07:28:22.043437Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-08-02T07:24:25.661533Z digest=sha256:d2c19db232d1cbeec42c6ca8826181bfc5df93f7f20c4f2798ed20837edcc3f2

Observation 164677f5-ca6a-4b3d-bbde-18b4c916ee9a · outbound

This paper cites ISBN 9781510860964.

Generalized Distribution-Free Semi-Supervised Learning with Risk Rewrite ISBN 9781510860964

Reference 2017

Resolution
verified exact
doi, observed 2026-08-02T07:28:22.566506Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-08-02T07:24:24.736224Z digest=sha256:2fd3920298d88c2e8fec34eab46ddbfaf96b7277abc6874d0d90ffa1edb02340

Observation 86fe3cd6-c479-45af-9893-bd6bc8813ff5 · outbound

This paper cites Nan Lu, Tianyi Zhang, Gang Niu, and Masashi Sugiyama.

Generalized Distribution-Free Semi-Supervised Learning with Risk Rewrite Nan Lu, Tianyi Zhang, Gang Niu, and Masashi Sugiyama

Reference 2018

Resolution
unresolved
no resolver link, observed 2026-08-02T07:24:24.919024Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T07:24:24.919024Z digest=sha256:d6f56e659c1b516dd539d01e1ad5faae59f0e2c686f202cbde317935adcb8a29

Observation 02d3e5cd-f503-47f8-ba8f-f1722aeaf793 · outbound

This paper cites org/CorpusID:221970624.

Generalized Distribution-Free Semi-Supervised Learning with Risk Rewrite org/CorpusID:221970624

Reference 2020

Resolution
unresolved
no resolver link, observed 2026-08-02T07:24:24.603855Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T07:24:24.603855Z digest=sha256:8f2a498aa629ee0860703a7195b3e1668f9d904992c0b27c39253851f91c1df4

Observation 68be2daa-8a9c-488b-b01f-ccfd4e4974f7 · outbound

This paper cites Kihyuk Sohn, David Berthelot, Chun-Liang Li, Zizhao Zhang, Nicholas Carlini, Ekin D.

Generalized Distribution-Free Semi-Supervised Learning with Risk Rewrite Kihyuk Sohn, David Berthelot, Chun-Liang Li, Zizhao Zhang, Nicholas Carlini, Ekin D

Reference 2021

Resolution
verified exact
doi, observed 2026-08-02T07:28:22.351568Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-08-02T07:24:25.110686Z digest=sha256:2883e7426bc646f037e9a1e59e5b5a392bfc8b66576643c0771759c4eff4e016

Observation ad5d5c52-8641-4c5d-a197-03e393f07323 · outbound

This paper cites Antti Tarvainen and Harri Valpola.

Generalized Distribution-Free Semi-Supervised Learning with Risk Rewrite Antti Tarvainen and Harri Valpola

Reference 2023

Resolution
unresolved
no resolver link, observed 2026-08-02T07:24:25.297524Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T07:24:25.297524Z digest=sha256:b9fda5328658d66b62f415f46b0439ad2e31e562a038533de60c7d1523cba373

Pith citing papers

No inbound Pith citation observations are available.