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Paper Citation Record · LEDGER

Supervised Algorithmic Fairness in Distribution Shifts: A Survey

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2402.01327.

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

pith.paper-citation-record.v1
2402.01327 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 7 of 7 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:05:32.850239Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-30T19:35:01.428591Z

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 9549d181-99f6-4468-a284-6a6f50723cc4 · inbound

Bridging Distribution Shift and AI Safety: Conceptual and Methodological Synergies cites this paper.

Bridging Distribution Shift and AI Safety: Conceptual and Methodological Synergies Supervised Algorithmic Fairness in Distribution Shifts: A Survey

Reference 156

Resolution
unresolved
no resolver link, observed 2026-08-07T13:05:32.850239Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:05:32.850239Z digest=sha256:0cd4894ad7b601278d5dd413501997fc133fa1fbbefea0b170480491acdfe12d

Observation 14ac6f7d-c1cd-4148-bd0f-87889c2be0b7 · inbound

Face4FairShifts: A Large Image Benchmark for Fairness and Robust Learning across Visual Domains cites this paper.

Face4FairShifts: A Large Image Benchmark for Fairness and Robust Learning across Visual Domains Supervised Algorithmic Fairness in Distribution Shifts: A Survey

Reference 67

Resolution
unresolved
no resolver link, observed 2026-08-05T13:25:36.739866Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T13:25:36.739866Z digest=sha256:91c79371c9cd68b4ed0aff77e4040eccdc3b72678a1540b8fa6814f585e29c10

Observation 64890890-7628-4ae9-8a4c-2e203abc4d70 · inbound

BioPro: Towards Difference-Aware Gender Fairness for Vision-Language Models cites this paper.

BioPro: Towards Difference-Aware Gender Fairness for Vision-Language Models Supervised Algorithmic Fairness in Distribution Shifts: A Survey

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-03T19:25:20.628211Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T19:25:20.628211Z digest=sha256:163079a55e6e75be1692767aa339fd73c88a95071248351812391b8b2d49993a

Observation 074d5082-9f24-4b29-881f-c23aa7ba2df5 · inbound

Object Hallucination-Free Reinforcement Unlearning for Vision-Language Models cites this paper.

Object Hallucination-Free Reinforcement Unlearning for Vision-Language Models Supervised Algorithmic Fairness in Distribution Shifts: A Survey

Reference 10

Resolution
verified exact
arxiv_id, observed 2026-05-11T03:15:56.247261Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-11T02:33:39.085843Z digest=sha256:7aa4a958dc46f12165d2f1c02fe59965b64257ccad3b177c312e170f47e79498

Observation 6ea299dd-36eb-40d8-9ae7-52c67b17c584 · inbound

ZeroUnlearn: Few-Shot Knowledge Unlearning in Large Language Models cites this paper.

ZeroUnlearn: Few-Shot Knowledge Unlearning in Large Language Models Supervised Algorithmic Fairness in Distribution Shifts: A Survey

Reference 16

Resolution
verified exact
arxiv_id, observed 2026-05-20T16:28:38.795790Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-20T16:26:01.465527Z digest=sha256:f18a0a89a021bda9b802cc2ee1acffebfb7e928685afe045c8663ec32a1c9a94

Observation a5960273-6b13-4c0c-9306-94e5bfba1bd6 · inbound

ZeroUnlearn: Few-Shot Knowledge Unlearning in Large Language Models cites this paper.

ZeroUnlearn: Few-Shot Knowledge Unlearning in Large Language Models Supervised Algorithmic Fairness in Distribution Shifts: A Survey

Reference 16

Resolution
verified exact
arxiv_id, observed 2026-05-21T08:09:51.661843Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-21T08:06:07.708392Z digest=sha256:37608527389160d6a73749ba9146972d65e32dbb8e267eb877ab1894b04eb333

Observation 3ca2e9b7-64ff-4f86-8308-26120b2887ed · inbound

ZeroUnlearn: Few-Shot Knowledge Unlearning in Large Language Models cites this paper.

ZeroUnlearn: Few-Shot Knowledge Unlearning in Large Language Models Supervised Algorithmic Fairness in Distribution Shifts: A Survey

Reference 16

Resolution
verified exact
arxiv_id, observed 2026-06-30T19:35:01.430695Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-30T19:30:17.256728Z digest=sha256:381c8f220cec61374034b29d378c207815f34478c4f93d66231eb4fc0d8e7867