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Paper Citation Record · LEDGER

Diagnosing Model Performance Under Distribution Shift

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:2303.02011.

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

pith.paper-citation-record.v1
2303.02011 v4

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 9 of 9 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 9 of 9 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:08:13.082707Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T09:10:59.346861Z

Reference resolution

0 of 0 outbound references displayed

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  • verified fuzzy0
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  • malformed identifier0
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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 57071a91-97b6-47d2-b2eb-68a92ec7c0af · inbound

Realistic Evaluation of TabPFN v2 in Open Environments cites this paper.

Realistic Evaluation of TabPFN v2 in Open Environments Diagnosing Model Performance Under Distribution Shift

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-07T15:08:13.082707Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:08:13.082707Z digest=sha256:f5cdf57c230c9e648dd87ee3be869ca258a78e66b7c9cc5f80a6b86d3ee94ad4

Observation 07b64a80-f40e-43f7-a471-c11944316d2a · inbound

Explaining Concept Shift with Interpretable Feature Attribution cites this paper.

Explaining Concept Shift with Interpretable Feature Attribution Diagnosing Model Performance Under Distribution Shift

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-07T13:56:35.235536Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T13:56:35.235536Z digest=sha256:6c0d2bef42ce9364cbcc0f75373a73ef0d2457aed8ddfd923240fd50dcdf1cd3

Observation b029dc02-db58-4033-b194-8af9a0245f62 · inbound

"Who experiences large model decay and why?" A Hierarchical Framework for Diagnosing Heterogeneous Performance Drift cites this paper.

"Who experiences large model decay and why?" A Hierarchical Framework for Diagnosing Heterogeneous Performance Drift Diagnosing Model Performance Under Distribution Shift

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-07T12:04:30.799496Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:04:30.799496Z digest=sha256:45278b173df69a71b129af4344e58c609ea85adc439ab1f544c04713c65b6608

Observation 2f115867-2166-40e9-a734-5b4d4805b3e6 · inbound

Data Heterogeneity Modeling for Trustworthy Machine Learning cites this paper.

Data Heterogeneity Modeling for Trustworthy Machine Learning Diagnosing Model Performance Under Distribution Shift

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-07T11:58:33.223518Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:58:33.223518Z digest=sha256:8250f9fa041967d57aca162c438316955a90c12f51bff19499976de259c53d4c

Observation 383c99aa-ce44-430d-9452-ff8568a112b1 · inbound

Uncovering Bias Mechanisms in Observational Studies cites this paper.

Uncovering Bias Mechanisms in Observational Studies Diagnosing Model Performance Under Distribution Shift

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-07T11:56:22.656281Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:56:22.656281Z digest=sha256:9f0e9a1e96d9c9dee43541443b3130a3434654bb55e6b76d7bf62a038e94a038

Observation 0cb00691-98cb-4c59-822d-ffe8536943a9 · inbound

General and Estimable Learning Bound Unifying Covariate and Concept Shifts cites this paper.

General and Estimable Learning Bound Unifying Covariate and Concept Shifts Diagnosing Model Performance Under Distribution Shift

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-07T00:47:16.777113Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T00:47:16.777113Z digest=sha256:ee3e76af75d87724ee82fef18512ce8eb76bf32b9b69de8aeae099f66ace8981

Observation 3bc0ac7b-7f47-4472-9094-4e0ec7625b97 · inbound

Data Curation Matters: Model Collapse and Spurious Shift Performance Prediction from Training on Uncurated Text Embeddings cites this paper.

Data Curation Matters: Model Collapse and Spurious Shift Performance Prediction from Training on Uncurated Text Embeddings Diagnosing Model Performance Under Distribution Shift

Reference 2023

Resolution
unresolved
no resolver link, observed 2026-08-06T23:28:49.824756Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:28:49.824756Z digest=sha256:135995096102423fe251cefcd65c2c863326bec9ad9b8a9100134a068af5cc81

Observation c58ab6a3-cbfb-4ff2-a9ed-f464cf7b20a0 · inbound

When the Past Misleads: Rethinking Training Data Expansion Under Temporal Distribution Shifts cites this paper.

When the Past Misleads: Rethinking Training Data Expansion Under Temporal Distribution Shifts Diagnosing Model Performance Under Distribution Shift

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-05T13:00:04.021229Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T13:00:04.021229Z digest=sha256:87af019e113a010269c1cf88e7911e32fd726dde044e94fcbfed5ba6a145fbac

Observation cdc66e20-7b2c-4155-9806-339f41c897bf · inbound

ShapShift: Explaining Model Prediction Shifts with Subgroup Conditional Shapley Values cites this paper.

ShapShift: Explaining Model Prediction Shifts with Subgroup Conditional Shapley Values Diagnosing Model Performance Under Distribution Shift

Reference 7

Resolution
verified exact
arxiv_id, observed 2026-05-11T09:10:59.350770Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T16:13:22.301367Z digest=sha256:8da83ddaacfdf0ac9c5ffc40a9f7c334625352c356904710594ae6bd9d507e27