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Paper Citation Record · LEDGER

Max-MIG: an Information Theoretic Approach for Joint Learning from Crowds

As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1905.13436.

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

pith.paper-citation-record.v1
1905.13436 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T12:36:43.061927Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T14:49:06.035597Z

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 a561e655-1412-4e5c-9b77-81814a15d976 · inbound

Learning from Noisy Labels via Conditional Distributionally Robust Optimization cites this paper.

Learning from Noisy Labels via Conditional Distributionally Robust Optimization Max-MIG: an Information Theoretic Approach for Joint Learning from Crowds

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-12T12:36:43.061927Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T12:36:43.061927Z digest=sha256:d25bf2ae06f1928a4be3535b79a8cb76a2ab67f3c558d1e7802ff4fd76620af5

Observation 22b5a818-467d-41d4-b7c1-a5143295a969 · inbound

QuMAB: Query-based Multi-Annotator Behavior Modeling with Reliability under Sparse Labels cites this paper.

QuMAB: Query-based Multi-Annotator Behavior Modeling with Reliability under Sparse Labels Max-MIG: an Information Theoretic Approach for Joint Learning from Crowds

Reference 3

Resolution
verified exact
local_arxiv, observed 2026-08-06T14:49:06.108853Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-06T14:48:58.246465Z digest=sha256:3f457982d4a506ca13f9c4db7c6adaa8dab8bd1c3dcce6aace831b32e5b20705