Paper Citation Record · LEDGER

Boosting Test Performance with Importance Sampling--a Subpopulation Perspective

As of 22 August 2026, this Paper Citation Record lists 15 of 15 outbound references and 0 inbound Pith citation observations for arXiv:2412.13003.

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

pith.paper-citation-record.v1
2412.13003 v1

Coverage vector

measured 15 of 15 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T13:37:33.910369Z

measured 15 of 15 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+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

15 of 15 outbound references displayed

verified exact0
verified fuzzy10
unresolved4
parse uncertain0
malformed identifier0
metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 21bf5d10-303c-4264-acf2-6cdbb184e07f · outbound

This paper cites Assumption 5: This assumption characterizes the nature of the subpopulation shift itself by assuming that the shift is caused by a spurious variable influencing Y.

Boosting Test Performance with Importance Sampling--a Subpopulation Perspective Assumption 5: This assumption characterizes the nature of the subpopulation shift itself by assuming that the shift is caused by a spurious variable influencing Y

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:37:34.010147Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 363489b9-e19a-4894-84c3-11326f2f2e44 · outbound

This paper cites In Companion proceedings of the 2019 world wide web conference, 491–500.

Boosting Test Performance with Importance Sampling--a Subpopulation Perspective In Companion proceedings of the 2019 world wide web conference, 491–500

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:37:34.115254Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation c5052984-d9bf-48de-8446-5344d4cfd851 · outbound

This paper cites In 7th International Conference on Learning Representations, ICLR 2019, New Orleans, LA, USA, May 6-9,.

Boosting Test Performance with Importance Sampling--a Subpopulation Perspective In 7th International Conference on Learning Representations, ICLR 2019, New Orleans, LA, USA, May 6-9,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:37:34.091998Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 4405ad72-0620-4217-a72d-90f4f6bf7934 · outbound

This paper cites an unresolved cited work.

Boosting Test Performance with Importance Sampling--a Subpopulation Perspective Unresolved cited work

Reference 5

Resolution: unresolved; raw_fallback, observed 2026-08-11T13:37:34.022312Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 771dff7e-095c-4150-a27c-0a36b8b9384c · outbound

This paper cites A Survey on Evaluation of Out-of-Distribution Generalization.

Boosting Test Performance with Importance Sampling--a Subpopulation Perspective A Survey on Evaluation of Out-of-Distribution Generalization

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-11T13:37:33.876654Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6cec4e75-a571-4b79-83a5-2908d5926ca2 · outbound

This paper cites (2023) is the first and possibly the only survey paper that provides a comprehensive experimental study on existing subpopulation methods.

Boosting Test Performance with Importance Sampling--a Subpopulation Perspective (2023) is the first and possibly the only survey paper that provides a comprehensive experimental study on existing subpopulation methods

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:37:34.069974Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation f6d287d9-8297-4be3-a1c0-0a723d36bb57 · outbound

This paper cites an unresolved cited work.

Boosting Test Performance with Importance Sampling--a Subpopulation Perspective Unresolved cited work

Reference 9

Resolution: unresolved; raw_fallback, observed 2026-08-11T13:37:34.058724Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 18b7906c-a005-46c5-8b73-dfc14cbf64ef · outbound

This paper cites We investigate all the papers it cites and all papers that cite this one to guarantee the coverage and scope as much as possible.

Boosting Test Performance with Importance Sampling--a Subpopulation Perspective We investigate all the papers it cites and all papers that cite this one to guarantee the coverage and scope as much as possible

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:37:34.047212Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation f2afa6e6-4637-492d-9129-6dc7a6f71ebc · outbound

This paper cites All models are trained with a single 16 GB NVIDIA V100 GPU for 3 independent runs3.

Boosting Test Performance with Importance Sampling--a Subpopulation Perspective All models are trained with a single 16 GB NVIDIA V100 GPU for 3 independent runs3

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:37:33.997623Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation a5572c26-2fbd-4f82-9adf-9b5890547767 · outbound

This paper cites In comparison, since DBCM imposes weaker assumptions, it is reasonable to observe improved performance.

Boosting Test Performance with Importance Sampling--a Subpopulation Perspective In comparison, since DBCM imposes weaker assumptions, it is reasonable to observe improved performance

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:37:33.986427Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 39a65182-e5c6-41fe-b7b3-51bf49a09f64 · outbound

This paper cites Invariant Risk Minimization.

Boosting Test Performance with Importance Sampling--a Subpopulation Perspective Invariant Risk Minimization

Reference 2019

Resolution: unresolved; no resolver link, observed 2026-08-11T13:37:33.856433Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5e479fa0-40f6-46a8-ab85-87666323a49e · outbound

This paper cites In 9th International Conference on Learning Representations, ICLR 2021, Virtual Event, Austria, May 3-7,.

Boosting Test Performance with Importance Sampling--a Subpopulation Perspective In 9th International Conference on Learning Representations, ICLR 2021, Virtual Event, Austria, May 3-7,

Reference 2021

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:37:34.081215Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 4b9077fd-45a1-4254-9016-58e328dd70ea · outbound

This paper cites Tsirigotis et al.

Boosting Test Performance with Importance Sampling--a Subpopulation Perspective Tsirigotis et al

Reference 2022

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:37:34.034144Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 978aba10-3343-4ad9-add5-56bba89481b7 · outbound

This paper cites Mixture Data for Training Cannot Ensure Out-of-distribution Generalization.

Boosting Test Performance with Importance Sampling--a Subpopulation Perspective Mixture Data for Training Cannot Ensure Out-of-distribution Generalization

Reference 2023

Resolution: metadata mismatch; local_arxiv, observed 2026-08-11T13:37:33.947309Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 4324c16d-7cf9-4b88-baf6-2a380cb9e883 · outbound

This paper cites In Forty-first International Conference on Machine Learning, ICML 2024, Vienna, Austria, July 21-27,.

Boosting Test Performance with Importance Sampling--a Subpopulation Perspective In Forty-first International Conference on Machine Learning, ICML 2024, Vienna, Austria, July 21-27,

Reference 2024

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:37:34.103922Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Pith citing papers

No inbound Pith citation observations are available.