Paper Citation Record · LEDGER

Improving out-of-distribution generalization via multi-task self-supervised pretraining

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2003.13525.

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

pith.paper-citation-record.v1
2003.13525 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 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 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T11:17:18.371171Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-13T21:43:19.085411Z

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 3afbc043-7ba2-4044-8a4c-38413c801bf9 · inbound

Advancements and Challenges in Continual Reinforcement Learning: A Comprehensive Review cites this paper.

Advancements and Challenges in Continual Reinforcement Learning: A Comprehensive Review Improving out-of-distribution generalization via multi-task self-supervised pretraining

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-06T22:18:38.034917Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1be2d860-5155-4e94-aa02-f5c0126ce6ac · inbound

MINR: Implicit Neural Representations with Masked Image Modelling cites this paper.

MINR: Implicit Neural Representations with Masked Image Modelling Improving out-of-distribution generalization via multi-task self-supervised pretraining

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-06T11:48:34.410505Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e218b2b2-4dd1-47a5-bfb2-1202956efabc · inbound

Rapidly deploying on-device eye tracking by distilling visual foundation models cites this paper.

Rapidly deploying on-device eye tracking by distilling visual foundation models Improving out-of-distribution generalization via multi-task self-supervised pretraining

Reference 29

Resolution: verified exact; arxiv_id, observed 2026-05-13T21:43:19.087008Z

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.

Observation d37d6514-5497-4ffb-9652-c8426996f022 · inbound

RxnCLF: Contrastive Transformation-Aware Reaction Foundation Model for Improved Reactivity Prediction cites this paper.

RxnCLF: Contrastive Transformation-Aware Reaction Foundation Model for Improved Reactivity Prediction Improving out-of-distribution generalization via multi-task self-supervised pretraining

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-07T11:17:18.371171Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.