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Paper Citation Record · LEDGER

Fairness Warnings and Fair-MAML: Learning Fairly with Minimal Data

As of 16 August 2026, this Paper Citation Record lists 40 of 40 outbound references and 0 inbound Pith citation observations for arXiv:1908.09092.

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

pith.paper-citation-record.v1
1908.09092 v2

Coverage vector

measured 40 of 40 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-14T11:28:23.921445Z

measured 40 of 40 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+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

40 of 40 outbound references displayed

  • verified exact0
  • verified fuzzy9
  • unresolved31
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation f4584c74-92ab-47dd-ba8e-bbf61cb01e36 · outbound

This paper cites Acquisition, preservation, and exchange of identification records and information; appointment of officials.

Fairness Warnings and Fair-MAML: Learning Fairly with Minimal Data Acquisition, preservation, and exchange of identification records and information; appointment of officials

Reference 1

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 05bc0a1f-70e8-4cb8-b6be-49e166495938 · outbound

This paper cites Developing a National Model for Pretrial Risk Assessment.

Fairness Warnings and Fair-MAML: Learning Fairly with Minimal Data Developing a National Model for Pretrial Risk Assessment

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:28:25.552878Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation d1822e94-df23-48b7-b737-2979c141ac6d · outbound

This paper cites an unresolved cited work.

Fairness Warnings and Fair-MAML: Learning Fairly with Minimal Data Unresolved cited work

Reference 3

Resolution
unresolved
raw_fallback, observed 2026-08-14T11:28:25.471668Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 9e6a6487-8969-4fd0-9a01-552fcc61f104 · outbound

This paper cites an unresolved cited work.

Fairness Warnings and Fair-MAML: Learning Fairly with Minimal Data Unresolved cited work

Reference 4

Resolution
unresolved
raw_fallback, observed 2026-08-14T11:28:25.460981Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 1ff4a3cd-c079-4d08-a23c-ff2ae31d10f0 · outbound

This paper cites an unresolved cited work.

Fairness Warnings and Fair-MAML: Learning Fairly with Minimal Data Unresolved cited work

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-14T11:28:23.275358Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T11:28:23.275358Z digest=sha256:14e7dc19131e000a4d0ea0f15252e6d4c0c109936f8c5442c85f5053da8e794f

Observation e3d5f26b-cc67-4d68-808c-312da69b6c45 · outbound

This paper cites an unresolved cited work.

Fairness Warnings and Fair-MAML: Learning Fairly with Minimal Data Unresolved cited work

Reference 6

Resolution
unresolved
raw_fallback, observed 2026-08-14T11:28:25.443744Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 776acd22-3cde-4667-a70e-5ba007fb3d52 · outbound

This paper cites an unresolved cited work.

Fairness Warnings and Fair-MAML: Learning Fairly with Minimal Data Unresolved cited work

Reference 7

Resolution
unresolved
raw_fallback, observed 2026-08-14T11:28:25.429315Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 33d0f9eb-fe37-4ffb-92d6-4de2aa8305b2 · outbound

This paper cites an unresolved cited work.

Fairness Warnings and Fair-MAML: Learning Fairly with Minimal Data Unresolved cited work

Reference 8

Resolution
unresolved
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 0ad65596-ca5c-41f2-a4fd-20f982d8d9e4 · outbound

This paper cites an unresolved cited work.

Fairness Warnings and Fair-MAML: Learning Fairly with Minimal Data Unresolved cited work

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-14T11:28:23.438975Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T11:28:23.438975Z digest=sha256:becb877e21cadec2d60e939b58d21b19cb05acfe440ce3167c843cbf4d21d828

Observation 7e6a321d-f9c6-4e7a-9fad-695dccd14fb6 · outbound

This paper cites an unresolved cited work.

Fairness Warnings and Fair-MAML: Learning Fairly with Minimal Data Unresolved cited work

Reference 10

Resolution
unresolved
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation f64862b3-ec20-405e-b218-6be7730a575d · outbound

This paper cites an unresolved cited work.

Fairness Warnings and Fair-MAML: Learning Fairly with Minimal Data Unresolved cited work

Reference 11

Resolution
unresolved
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 5ab5e34c-ed14-4884-8872-5d609c11e377 · outbound

This paper cites an unresolved cited work.

Fairness Warnings and Fair-MAML: Learning Fairly with Minimal Data Unresolved cited work

Reference 12

Resolution
unresolved
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation f0f8a2c8-3436-4007-b581-9321892078d6 · outbound

This paper cites an unresolved cited work.

Fairness Warnings and Fair-MAML: Learning Fairly with Minimal Data Unresolved cited work

Reference 13

Resolution
unresolved
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 623dba0c-91e7-4ad0-962a-d3ca304df0b0 · outbound

This paper cites an unresolved cited work.

Fairness Warnings and Fair-MAML: Learning Fairly with Minimal Data Unresolved cited work

Reference 14

Resolution
unresolved
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 9f683d6a-3c37-4c75-a707-4f14d984c52b · outbound

This paper cites an unresolved cited work.

Fairness Warnings and Fair-MAML: Learning Fairly with Minimal Data Unresolved cited work

Reference 15

Resolution
unresolved
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 07d40198-8496-4be2-a862-8c2354fb682e · outbound

This paper cites an unresolved cited work.

Fairness Warnings and Fair-MAML: Learning Fairly with Minimal Data Unresolved cited work

Reference 16

Resolution
unresolved
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation d8eb7c49-84a1-42f1-9f35-c8f8a4dd4604 · outbound

This paper cites an unresolved cited work.

Fairness Warnings and Fair-MAML: Learning Fairly with Minimal Data Unresolved cited work

Reference 17

Resolution
unresolved
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation d110628d-c54c-4165-bb65-b2ccf216b850 · outbound

This paper cites an unresolved cited work.

Fairness Warnings and Fair-MAML: Learning Fairly with Minimal Data Unresolved cited work

Reference 18

Resolution
unresolved
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 11d094a2-1468-41e4-8a72-db02c7bd16ea · outbound

This paper cites an unresolved cited work.

Fairness Warnings and Fair-MAML: Learning Fairly with Minimal Data Unresolved cited work

Reference 19

Resolution
unresolved
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation a316f7f7-709e-4f38-9c8a-e248f4617eca · outbound

This paper cites an unresolved cited work.

Fairness Warnings and Fair-MAML: Learning Fairly with Minimal Data Unresolved cited work

Reference 20

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 76e10b50-9b0f-4ee5-9180-85a623b085bc · outbound

This paper cites an unresolved cited work.

Fairness Warnings and Fair-MAML: Learning Fairly with Minimal Data Unresolved cited work

Reference 21

Resolution
unresolved
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation f4ecfd8d-d2bc-4a67-a4b2-9571597d784b · outbound

This paper cites an unresolved cited work.

Fairness Warnings and Fair-MAML: Learning Fairly with Minimal Data Unresolved cited work

Reference 22

Resolution
unresolved
raw_fallback, observed 2026-08-14T11:28:24.922084Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 4e1e7cfc-c3fa-45fb-b8d8-4de634319731 · outbound

This paper cites an unresolved cited work.

Fairness Warnings and Fair-MAML: Learning Fairly with Minimal Data Unresolved cited work

Reference 23

Resolution
unresolved
raw_fallback, observed 2026-08-14T11:28:24.871192Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 262b37b3-268b-44b5-8011-5453f9934634 · outbound

This paper cites an unresolved cited work.

Fairness Warnings and Fair-MAML: Learning Fairly with Minimal Data Unresolved cited work

Reference 24

Resolution
unresolved
raw_fallback, observed 2026-08-14T11:28:24.860553Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 3b287cf7-f293-4616-9637-7a663a117938 · outbound

This paper cites Lipton, Yu-Xiang Wang, and Alexander J.

Fairness Warnings and Fair-MAML: Learning Fairly with Minimal Data Lipton, Yu-Xiang Wang, and Alexander J

Reference 25

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation eff5cb66-afa3-4c6b-b0e5-7f494abea77e · outbound

This paper cites an unresolved cited work.

Fairness Warnings and Fair-MAML: Learning Fairly with Minimal Data Unresolved cited work

Reference 26

Resolution
unresolved
raw_fallback, observed 2026-08-14T11:28:24.837347Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 2e65acf6-6615-4087-a40f-d1b9a8ce1962 · outbound

This paper cites Why Should I Trust You?.

Fairness Warnings and Fair-MAML: Learning Fairly with Minimal Data Why Should I Trust You?

Reference 27

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation a5346ac0-5d8f-4ea4-913f-4e27bbd63a33 · outbound

This paper cites an unresolved cited work.

Fairness Warnings and Fair-MAML: Learning Fairly with Minimal Data Unresolved cited work

Reference 28

Resolution
unresolved
raw_fallback, observed 2026-08-14T11:28:24.598650Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation ec1598e8-3f42-44d9-8d8a-53f5008bee1b · outbound

This paper cites an unresolved cited work.

Fairness Warnings and Fair-MAML: Learning Fairly with Minimal Data Unresolved cited work

Reference 29

Resolution
unresolved
raw_fallback, observed 2026-08-14T11:28:24.587715Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 152f4103-f95b-4a5e-a14f-07966162a3b4 · outbound

This paper cites Friedler, Carlos Eduardo Scheidegger, and Chi- tradeep Dutta Roy.

Fairness Warnings and Fair-MAML: Learning Fairly with Minimal Data Friedler, Carlos Eduardo Scheidegger, and Chi- tradeep Dutta Roy

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:28:24.556430Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation e548dc89-4fb9-47a3-acf7-5bc0147acece · outbound

This paper cites Stevenson.

Fairness Warnings and Fair-MAML: Learning Fairly with Minimal Data Stevenson

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:28:24.429248Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 853f8e83-3bce-40b8-a34b-aad41996f29b · outbound

This paper cites Schulam, and Suchi Saria.

Fairness Warnings and Fair-MAML: Learning Fairly with Minimal Data Schulam, and Suchi Saria

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:28:24.339061Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation b27dc561-12cc-49ba-8104-de21eb0ce0fd · outbound

This paper cites an unresolved cited work.

Fairness Warnings and Fair-MAML: Learning Fairly with Minimal Data Unresolved cited work

Reference 33

Resolution
unresolved
raw_fallback, observed 2026-08-14T11:28:24.329838Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation f134513f-93ff-4bb5-bcac-d6a47fc519f4 · outbound

This paper cites an unresolved cited work.

Fairness Warnings and Fair-MAML: Learning Fairly with Minimal Data Unresolved cited work

Reference 34

Resolution
unresolved
raw_fallback, observed 2026-08-14T11:28:24.311402Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 05465f07-bff1-4cb5-9227-cda3bd7d3481 · outbound

This paper cites an unresolved cited work.

Fairness Warnings and Fair-MAML: Learning Fairly with Minimal Data Unresolved cited work

Reference 35

Resolution
unresolved
raw_fallback, observed 2026-08-14T11:28:24.158365Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation b49ed630-7ddf-484e-8a39-03942222daaf · outbound

This paper cites Lillicrap, Koray Kavukcuoglu, and Daan Wierstra.

Fairness Warnings and Fair-MAML: Learning Fairly with Minimal Data Lillicrap, Koray Kavukcuoglu, and Daan Wierstra

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:28:24.106347Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T11:28:23.909360Z digest=sha256:acdadac0e65a4a73c6d4dad1939c0c7321cb1175a88a0a5819adc72e375f41e0

Observation e589fb6b-c0b6-42af-b79a-e9d47fc81d01 · outbound

This paper cites an unresolved cited work.

Fairness Warnings and Fair-MAML: Learning Fairly with Minimal Data Unresolved cited work

Reference 37

Resolution
unresolved
raw_fallback, observed 2026-08-14T11:28:24.091874Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T11:28:23.915028Z digest=sha256:e6be6565485e587bb9a8e6792160f9940fbb93831536c196a7fa9531109a6b9d

Observation 5b97925a-0a57-4989-b601-c193e6e61c9c · outbound

This paper cites an unresolved cited work.

Fairness Warnings and Fair-MAML: Learning Fairly with Minimal Data Unresolved cited work

Reference 38

Resolution
unresolved
raw_fallback, observed 2026-08-14T11:28:24.080711Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T11:28:23.918167Z digest=sha256:96d004e170a4c0eb6d708be095084dcb86f72f5e35ad28146f452cae6f004bb1

Observation 4db6a1e9-6f18-4221-a5b5-80c7fc30dbc9 · outbound

This paper cites an unresolved cited work.

Fairness Warnings and Fair-MAML: Learning Fairly with Minimal Data Unresolved cited work

Reference 39

Resolution
unresolved
raw_fallback, observed 2026-08-14T11:28:24.016878Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T11:28:23.921445Z digest=sha256:ddb62d6d3b942c004c16bba84d9d5682cbe5a8d151f31f85b931b10c94d6a733

Observation 4466c920-f335-429e-92bf-5f6893fcc37d · outbound

This paper cites In ACM Conference on Fairness, Accountability and Transparency (FAT*).

Fairness Warnings and Fair-MAML: Learning Fairly with Minimal Data In ACM Conference on Fairness, Accountability and Transparency (FAT*)

Reference 2019

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:28:25.002921Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T11:28:23.593362Z digest=sha256:2d8e67c8ad7532252f3196678c075c9bf5d87be6d1711e0bd5645a349abbeebf

Pith citing papers

No inbound Pith citation observations are available.