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Paper Citation Record · LEDGER

Universal Multiclass Transductive Online Learning

As of 21 August 2026, this Paper Citation Record lists 10 of 10 outbound references and 0 inbound Pith citation observations for arXiv:2605.30479.

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

pith.paper-citation-record.v1
2605.30479 v1

Coverage vector

measured 10 of 10 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-29T08:30:32.915006Z

measured 10 of 10 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+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

10 of 10 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved9
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation e208efe4-46d0-4bfe-9b28-7bf5d910229d · outbound

This paper cites A theory of PAC learnability of partial concept classes.

Universal Multiclass Transductive Online Learning A theory of PAC learnability of partial concept classes

Reference 1

Resolution
unresolved
no resolver link, observed 2026-06-29T08:30:32.915006Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-29T08:30:32.915006Z digest=sha256:0c2fe923c4eec8819b4a9e2997da11a86e6567a4d9d22c279fc002f770cf8140

Observation 1667a31e-27a6-4643-85c5-cfe5f7b1b2ef · outbound

This paper cites an unresolved cited work.

Universal Multiclass Transductive Online Learning Unresolved cited work

Reference 2

Resolution
unresolved
no resolver link, observed 2026-06-29T08:30:32.915006Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-29T08:30:32.915006Z digest=sha256:89b555996aa417a1d17926f99397b9d0f6f1d9e7a434f762c017e74c34d9af51

Observation 30dbcf04-2bbf-48dc-ac1d-84c769d7dd98 · outbound

This paper cites an unresolved cited work.

Universal Multiclass Transductive Online Learning Unresolved cited work

Reference 3

Resolution
unresolved
no resolver link, observed 2026-06-29T08:30:32.915006Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-29T08:30:32.915006Z digest=sha256:437c3e8954032785944f1fe0a4d83ae5bb7c84d9d2f30eb9dfa233d4316c51d8

Observation 9137846d-a641-47b3-b4a2-eeb62dd39fa3 · outbound

This paper cites 1 nKd nKdX t=1 I h ˆht−1(Xt)̸=Y t i Kd # ≥ 1 4 .(1) Thus, we have lim sup d→∞ E.

Universal Multiclass Transductive Online Learning 1 nKd nKdX t=1 I h ˆht−1(Xt)̸=Y t i Kd # ≥ 1 4 .(1) Thus, we have lim sup d→∞ E

Reference 4

Resolution
unresolved
no resolver link, observed 2026-06-29T08:30:32.915006Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-29T08:30:32.915006Z digest=sha256:d8b635a961773e3d7f00a661c9589cbb22cfff17afdd014ebb22aa9d9a4b91fe

Observation ae0dca50-8a59-438f-8a85-7ceb28753e9d · outbound

This paper cites Thus, there are ⌊logT⌋ nodes where the algorithm will make a mistake with probability half.

Universal Multiclass Transductive Online Learning Thus, there are ⌊logT⌋ nodes where the algorithm will make a mistake with probability half

Reference 5

Resolution
unresolved
no resolver link, observed 2026-06-29T08:30:32.915006Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-29T08:30:32.915006Z digest=sha256:97d25b77af27f709986b11b46ec5657486dffab57d9ce73805b5de488fad44b4

Observation 0d5f004c-d2ab-497c-a706-abb4012e7669 · outbound

This paper cites TX t=1 I h Yt ̸= ˆYt i −I[Y t ̸=Y ∗ t ] # =E.

Universal Multiclass Transductive Online Learning TX t=1 I h Yt ̸= ˆYt i −I[Y t ̸=Y ∗ t ] # =E

Reference 6

Resolution
unresolved
no resolver link, observed 2026-06-29T08:30:32.915006Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-29T08:30:32.915006Z digest=sha256:fe6bd908665ba269953171a43b86d4234333d57ac866516ba413a688b766a379

Observation d4b586f4-953e-44ab-92e7-4b12d778b67d · outbound

This paper cites That finishes the proof.

Universal Multiclass Transductive Online Learning That finishes the proof

Reference 7

Resolution
unresolved
no resolver link, observed 2026-06-29T08:30:32.915006Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-29T08:30:32.915006Z digest=sha256:8149dbac4e40b4b4490f6f790fa6dd436790ff9a9b144e018e665a0d7a47ce49

Observation 24f2512e-46f4-48b3-92e5-403d31e1c29d · outbound

This paper cites To prove the property of the algorithm, we first need a lemma about the prediction rule.

Universal Multiclass Transductive Online Learning To prove the property of the algorithm, we first need a lemma about the prediction rule

Reference 8

Resolution
unresolved
no resolver link, observed 2026-06-29T08:30:32.915006Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-29T08:30:32.915006Z digest=sha256:c0b9f7478c56ccef4ef6cf8ba41b94e28ce52ac83b5b313a14d38281432bc5b5

Observation cc7ca6cf-040b-43cf-af01-c40a49d1eef8 · outbound

This paper cites an unresolved cited work.

Universal Multiclass Transductive Online Learning Unresolved cited work

Reference 9

Resolution
malformed identifier
no resolver link, observed 2026-06-29T08:30:32.915006Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-29T08:30:32.915006Z digest=sha256:3fa47b8a67b67cd61463cd270735f4f7970f11a97ae2a6c0d856b80cdde94205

Observation 60d057cc-f0ea-436c-b905-85fc4bda83bf · outbound

This paper cites optimistically universal online learning.

Universal Multiclass Transductive Online Learning optimistically universal online learning

Reference 10

Resolution
unresolved
no resolver link, observed 2026-06-29T08:30:32.915006Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-29T08:30:32.915006Z digest=sha256:056d5672fd0f86c6220c2b5d9fc4589313f190a5c2c31682a2cc0c80e1ed0a56

Pith citing papers

No inbound Pith citation observations are available.