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Paper Citation Record · LEDGER

An Analysis of Model Robustness across Concurrent Distribution Shifts

As of 19 August 2026, this Paper Citation Record lists 20 of 20 outbound references and 0 inbound Pith citation observations for arXiv:2501.04288.

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

pith.paper-citation-record.v1
2501.04288 v1

Coverage vector

measured 20 of 20 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T21:42:09.551043Z

measured 20 of 20 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+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

20 of 20 outbound references displayed

  • verified exact1
  • verified fuzzy1
  • unresolved17
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation fe3e2c90-a69a-46a8-bebd-10ee143aef7f · outbound

This paper cites Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone.

An Analysis of Model Robustness across Concurrent Distribution Shifts Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone

Reference 1

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unresolved
no resolver link, observed 2026-08-10T21:42:09.463140Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:42:09.463140Z digest=sha256:8283fc8628f9e8c0ee372fdf3faa688548a24d7727e863a15c1299c6a6f66f19

Observation a0b6ccdf-bc2f-4e09-a187-3c59d47e52b4 · outbound

This paper cites a photo of alabel.

An Analysis of Model Robustness across Concurrent Distribution Shifts a photo of alabel

Reference 3

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malformed identifier
raw_fallback, observed 2026-08-10T21:42:10.028666Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-10T21:42:09.541245Z digest=sha256:dfe79a326afa7aff7bc88f7a2adfa8adfb6bd139a635707d5ef37135f17e37bd

Observation f8c9aea5-3f84-4ef3-91b8-c5a8340a8793 · outbound

This paper cites In Search of Lost Domain Generalization.

An Analysis of Model Robustness across Concurrent Distribution Shifts In Search of Lost Domain Generalization

Reference 7

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unresolved
no resolver link, observed 2026-08-10T21:42:09.492503Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:42:09.492503Z digest=sha256:c9adfc2a21a3592e7b1aed05b1f5d7bb18278e4646f36183f3274407570587a9

Observation f857ca36-a542-4f6a-9fb4-d1bfe6b9e988 · outbound

This paper cites Benchmarking Neural Network Robustness to Common Corruptions and Perturbations.

An Analysis of Model Robustness across Concurrent Distribution Shifts Benchmarking Neural Network Robustness to Common Corruptions and Perturbations

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-10T21:42:09.496577Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:42:09.496577Z digest=sha256:59f7c770fa9b10176f53b394c97126e405302641b1b6fda469d7616245c0cb68

Observation 9d0e42de-8f18-494a-b6b6-d2d0297c2efd · outbound

This paper cites AugMix: A Simple Data Processing Method to Improve Robustness and Uncertainty.

An Analysis of Model Robustness across Concurrent Distribution Shifts AugMix: A Simple Data Processing Method to Improve Robustness and Uncertainty

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-10T21:42:09.500840Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:42:09.500840Z digest=sha256:2aa794eea177e294238fe30e10eff8c61abd03dd8e38cde59b1b1b80aef6d5f3

Observation 52983890-8d27-481b-894b-d216adae1b82 · outbound

This paper cites Improved Baselines with Visual Instruction Tuning.

An Analysis of Model Robustness across Concurrent Distribution Shifts Improved Baselines with Visual Instruction Tuning

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-10T21:42:09.510265Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:42:09.510265Z digest=sha256:6138ce893f2aa4b383572cf23448c882678a15e9ec08ebb7fafd0b834b28bc8c

Observation 9a43ea9a-a50d-4deb-ad54-95f61413b0dc · outbound

This paper cites UMAP: Uniform Manifold Approximation and Projection for Dimension Reduction.

An Analysis of Model Robustness across Concurrent Distribution Shifts UMAP: Uniform Manifold Approximation and Projection for Dimension Reduction

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-10T21:42:09.516149Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:42:09.516149Z digest=sha256:6d4ceb40b7a222b1d8deb96f639f009dcdf75af794644e675e07849522584553

Observation 57edbbc9-21e2-4672-8e65-10f89f2c912d · outbound

This paper cites an unresolved cited work.

An Analysis of Model Robustness across Concurrent Distribution Shifts Unresolved cited work

Reference 13

Resolution
unresolved
raw_fallback, observed 2026-08-10T21:42:10.041607Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-10T21:42:09.520473Z digest=sha256:d4c5d4590901e27578ce4db7a189b79da803794ace6c8abde211a5e5fb420ede

Observation 26606550-7c7c-43d8-b608-a8561b91ec24 · outbound

This paper cites Distributionally Robust Neural Networks for Group Shifts: On the Importance of Regularization for Worst-Case Generalization.

An Analysis of Model Robustness across Concurrent Distribution Shifts Distributionally Robust Neural Networks for Group Shifts: On the Importance of Regularization for Worst-Case Generalization

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-10T21:42:09.524622Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:42:09.524622Z digest=sha256:dd3571bed45fa371b061a1d499d6f770a18187442445abd3a32ebab3a16e1c84

Observation d5a2ca9a-960e-4d24-963b-8b664e0c7382 · outbound

This paper cites A Systematic Survey of Prompt Engineering in Large Language Models: Techniques and Applications.

An Analysis of Model Robustness across Concurrent Distribution Shifts A Systematic Survey of Prompt Engineering in Large Language Models: Techniques and Applications

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-10T21:42:09.528866Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:42:09.528866Z digest=sha256:1fe83256df8c871ef4226277f9dab5e51de36e0a19eaa2685774cafd06068b06

Observation fcdf2420-2ed5-4a6e-a570-af32c680ef49 · outbound

This paper cites A Fine-Grained Analysis on Distribution Shift.

An Analysis of Model Robustness across Concurrent Distribution Shifts A Fine-Grained Analysis on Distribution Shift

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-10T21:42:09.532960Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:42:09.532960Z digest=sha256:6e31c1bfa4948833aff1a1f5d815c9ec119b7d6ec4d16c679fe8f730aba6f230

Observation 1078e62c-c8c9-403a-b670-addb945d1f14 · outbound

This paper cites Improve Unsupervised Domain Adaptation with Mixup Training.

An Analysis of Model Robustness across Concurrent Distribution Shifts Improve Unsupervised Domain Adaptation with Mixup Training

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-10T21:42:09.537146Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:42:09.537146Z digest=sha256:b555ee9104fd19de804c00f2d0e3bd915917c19e1df1a97885dc763dc2d8766f

Observation ac1acfd4-0149-42e6-a7b7-111ee00a100e · outbound

This paper cites an unresolved cited work.

An Analysis of Model Robustness across Concurrent Distribution Shifts Unresolved cited work

Reference 19

Resolution
verified exact
raw_fallback, observed 2026-08-10T21:42:09.780212Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-10T21:42:09.545407Z digest=sha256:aa86c3f069c3ae482a430974f1c56dcaa043405b973109e0b474e5af1e864297

Observation da52dde3-c6b2-4e0a-a24e-5946dd9eca4e · outbound

This paper cites However, such datasets are limited as annotations are expensive.

An Analysis of Model Robustness across Concurrent Distribution Shifts However, such datasets are limited as annotations are expensive

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:42:10.016020Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-10T21:42:09.551043Z digest=sha256:c3c44cffc74809cc1c482654903bcd5293be0271a63ac61efc01bfee4c2f4e56

Observation 68bc7575-a037-4e05-9036-954ed74b3a8d · outbound

This paper cites ImageNet-trained CNNs are biased towards texture; increasing shape bias improves accuracy and robustness.

An Analysis of Model Robustness across Concurrent Distribution Shifts ImageNet-trained CNNs are biased towards texture; increasing shape bias improves accuracy and robustness

Reference 2016

Resolution
unresolved
no resolver link, observed 2026-08-10T21:42:09.487848Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:42:09.487848Z digest=sha256:b5c7bb0396053e39e430c1bf37546942236c007bfffa49d00ffbff288af1e024

Observation 5124f09e-5363-46fa-9400-ccf67321fd0e · outbound

This paper cites Invariant Risk Minimization.

An Analysis of Model Robustness across Concurrent Distribution Shifts Invariant Risk Minimization

Reference 2018

Resolution
unresolved
no resolver link, observed 2026-08-10T21:42:09.468328Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:42:09.468328Z digest=sha256:de50e9187cf8d1a11197cee24693125290d05a140698ab0bb6ae15bc4948da78

Observation 4bf6ea6f-a88d-4ff7-950f-9109929c8472 · outbound

This paper cites PaLI: A Jointly-Scaled Multilingual Language-Image Model.

An Analysis of Model Robustness across Concurrent Distribution Shifts PaLI: A Jointly-Scaled Multilingual Language-Image Model

Reference 2019

Resolution
unresolved
no resolver link, observed 2026-08-10T21:42:09.472792Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:42:09.472792Z digest=sha256:bdf8765f6a5f458de089e213a5b8c49a2adf5ea6c6b7a4d51bc8eeb0b928e59e

Observation 2897f0e7-ba53-4954-a6d9-2d3fb34158d6 · outbound

This paper cites Invariant Causal Mechanisms through Distribution Matching.

An Analysis of Model Robustness across Concurrent Distribution Shifts Invariant Causal Mechanisms through Distribution Matching

Reference 2022

Resolution
unresolved
no resolver link, observed 2026-08-10T21:42:09.477767Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:42:09.477767Z digest=sha256:88d4a9e679ff21c51d4c95f0f375c33e682644e955446056856f59595c15fc03

Observation 0ad0c043-0db3-48f1-a4e2-75e4c7a8bf2d · outbound

This paper cites Progressive Growing of GANs for Improved Quality, Stability, and Variation.

An Analysis of Model Robustness across Concurrent Distribution Shifts Progressive Growing of GANs for Improved Quality, Stability, and Variation

Reference 2023

Resolution
unresolved
no resolver link, observed 2026-08-10T21:42:09.505589Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:42:09.505589Z digest=sha256:8d699b8fbc5c63590acfc0594a5af7de4c192e7c1f3c7d81127d710b04c28b39

Observation fb20a7dc-7474-4747-b0ee-40ba149b329e · outbound

This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.

An Analysis of Model Robustness across Concurrent Distribution Shifts An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 2024

Resolution
unresolved
no resolver link, observed 2026-08-10T21:42:09.483272Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:42:09.483272Z digest=sha256:32282ccc6e150a96f18a3ab46fd6d87da96d8cbe055b32d7c397a842168ad379

Pith citing papers

No inbound Pith citation observations are available.