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Paper Citation Record · LEDGER

DISCO: Mitigating Bias in Deep Learning with Conditional Distance Correlation

As of 15 August 2026, this Paper Citation Record lists 9 of 9 outbound references and 0 inbound Pith citation observations for arXiv:2506.11653.

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

pith.paper-citation-record.v1
2506.11653 v3

Coverage vector

measured 9 of 9 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T04:11:11.560811Z

measured 9 of 9 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+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

9 of 9 outbound references displayed

  • verified exact0
  • verified fuzzy6
  • unresolved2
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 1b454bf3-d487-437f-aaf7-a99ead888c28 · outbound

This paper cites an unresolved cited work.

DISCO: Mitigating Bias in Deep Learning with Conditional Distance Correlation Unresolved cited work

Reference 1

Resolution
unresolved
raw_fallback, observed 2026-08-07T04:11:13.408667Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-07T04:11:10.370295Z digest=sha256:9f576894f2cea51a2b346969989d7ac76d45714aeaf80fcafbc8475922e49f94

Observation 4aaf4c9b-55e9-471e-b638-7957fc117cee · outbound

This paper cites an unresolved cited work.

DISCO: Mitigating Bias in Deep Learning with Conditional Distance Correlation Unresolved cited work

Reference 2

Resolution
unresolved
raw_fallback, observed 2026-08-07T04:11:13.099872Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-07T04:11:10.493346Z digest=sha256:92ed3817e306e1d4123ff2060c6d0041229793da534e0b457b760dac743ab11c

Observation 4711937e-3654-49b0-869d-8c0133866410 · outbound

This paper cites A key distinction of our approach is the assumption that the bias B is observed.

DISCO: Mitigating Bias in Deep Learning with Conditional Distance Correlation A key distinction of our approach is the assumption that the bias B is observed

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:11:12.902050Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-07T04:11:10.645805Z digest=sha256:1afe23bf16949f54b4a24ea936ea40a203d8511fd800b7ad6653ffb7241a404a

Observation 319d9db6-e3b5-4681-b214-ff5a521c4efe · outbound

This paper cites Generative Targets:DISCO is designed for a discriminative task.

DISCO: Mitigating Bias in Deep Learning with Conditional Distance Correlation Generative Targets:DISCO is designed for a discriminative task

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:11:12.694463Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-07T04:11:10.814468Z digest=sha256:c7094d7690b57f96847a1b6fb8ae44f87f278b36d3fbbe49820b199732bd59ac

Observation e3a99104-dfb7-4b5b-b7f5-2d718a75cb97 · outbound

This paper cites Information:In the example provided by Puli et al.

DISCO: Mitigating Bias in Deep Learning with Conditional Distance Correlation Information:In the example provided by Puli et al

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:11:12.542600Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-07T04:11:10.933771Z digest=sha256:b6f2da12f103a727df41b36aa07bc8c70d1c13f244deb8a1d7b46bf59035c630

Observation 9ec476d5-fd2f-4be4-bf35-d647a750d01c · outbound

This paper cites For a single reference point i, D(i) 1 =w (i)Sw (i)⊤.

DISCO: Mitigating Bias in Deep Learning with Conditional Distance Correlation For a single reference point i, D(i) 1 =w (i)Sw (i)⊤

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:11:12.350598Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-07T04:11:11.069390Z digest=sha256:a5e6ee64b4803145a934858bae8110b0d1ff043492423058100e74f76f150bfd

Observation 714babe8-21bd-489c-841e-ffa91a57a11f · outbound

This paper cites The grand mean for X at reference point i is exactly w(i)Aw(i)⊤.

DISCO: Mitigating Bias in Deep Learning with Conditional Distance Correlation The grand mean for X at reference point i is exactly w(i)Aw(i)⊤

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:11:12.224719Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-07T04:11:11.245425Z digest=sha256:aacea05e92f57cc93aa705969708235fd082afc75592b2dc161c2acd93d41d9c

Observation 3f49c3c7-2594-4e4b-8064-556ca030f931 · outbound

This paper cites race” attribute, specifically the “Black.

DISCO: Mitigating Bias in Deep Learning with Conditional Distance Correlation race” attribute, specifically the “Black

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:11:12.041095Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-07T04:11:11.414267Z digest=sha256:ff5ca9582b8840ca31d8cef19a387b6d26589e4c7f8eccdd0cba1559285bbe7c

Observation ecf3cfe4-9485-4d41-9ff6-f2b82fa6f346 · outbound

This paper cites Original.

DISCO: Mitigating Bias in Deep Learning with Conditional Distance Correlation Original

Reference 2011

Resolution
malformed identifier
raw_fallback, observed 2026-08-07T04:11:11.844252Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-07T04:11:11.560811Z digest=sha256:912e3d11e1552e5840ccf335796b0707f7e42beb870b38445cf5f8d4ba030b32

Pith citing papers

No inbound Pith citation observations are available.