Paper Citation Record · LEDGER

Shifts: A Dataset of Real Distributional Shift Across Multiple Large-Scale Tasks

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2107.07455.

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

pith.paper-citation-record.v1
2107.07455 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:24:07.402892Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-30T07:04:21.395279Z

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 3d1dd7b4-b971-41f6-b653-e3279b177e59 · inbound

A Gentle Introduction to Conformal Prediction and Distribution-Free Uncertainty Quantification cites this paper.

A Gentle Introduction to Conformal Prediction and Distribution-Free Uncertainty Quantification Shifts: A Dataset of Real Distributional Shift Across Multiple Large-Scale Tasks

Reference 29

Resolution: verified exact; arxiv_id, observed 2026-05-09T04:04:54.115471Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation ac7a27bf-134a-4224-adf3-6009613efd1a · inbound

Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting cites this paper.

Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting Shifts: A Dataset of Real Distributional Shift Across Multiple Large-Scale Tasks

Reference 34

Resolution: verified exact; arxiv_id, observed 2026-05-12T20:16:37.422566Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation bb6b364e-333b-409c-b394-269e093ba525 · inbound

Generative AI for Autonomous Driving: A Review cites this paper.

Generative AI for Autonomous Driving: A Review Shifts: A Dataset of Real Distributional Shift Across Multiple Large-Scale Tasks

Reference 268

Resolution: unresolved; no resolver link, observed 2026-08-07T15:24:07.402892Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1a10fd24-d365-4b96-81fe-101ab3e4cd9f · inbound

Forecasting the Past: Gradient-Based Distribution Shift Detection in Trajectory Prediction cites this paper.

Forecasting the Past: Gradient-Based Distribution Shift Detection in Trajectory Prediction Shifts: A Dataset of Real Distributional Shift Across Multiple Large-Scale Tasks

Reference 25

Resolution: verified exact; arxiv_id, observed 2026-05-11T10:06:03.371596Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 8c698dab-7319-4ed0-bfd3-762f34b6039f · inbound

Beyond IID: How General Are Tabular Foundation Models, Really? cites this paper.

Beyond IID: How General Are Tabular Foundation Models, Really? Shifts: A Dataset of Real Distributional Shift Across Multiple Large-Scale Tasks

Reference 175

Resolution: verified exact; arxiv_id, observed 2026-06-30T07:04:21.397013Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 2c413e9f-187d-4119-85f7-f9c0d9745723 · inbound

Long-term Traffic Scene Prediction via Polynomial Representations in Autonomous Driving cites this paper.

Long-term Traffic Scene Prediction via Polynomial Representations in Autonomous Driving Shifts: A Dataset of Real Distributional Shift Across Multiple Large-Scale Tasks

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-05T20:54:16.191267Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.