Pith. sign in

Paper Citation Record · LEDGER

Zebra: In-Context Generative Pretraining for Solving Parametric PDEs

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2410.03437.

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

pith.paper-citation-record.v1
2410.03437 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 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 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T19:48:11.505739Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T08:17:46.058591Z

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 e36b42d7-0e1f-4903-a812-5c6f89890fea · inbound

Towards Foundational Models for Dynamical System Reconstruction: Hierarchical Meta-Learning via Mixture of Experts cites this paper.

Towards Foundational Models for Dynamical System Reconstruction: Hierarchical Meta-Learning via Mixture of Experts Zebra: In-Context Generative Pretraining for Solving Parametric PDEs

Reference 59

Resolution
unresolved
no resolver link, observed 2026-08-08T19:48:11.505739Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T19:48:11.505739Z digest=sha256:5fc4e5c545a1ed8b7a59448863b5dca53016db7e54bf52a5b54e2b138149d828

Observation 068173c2-d289-486f-b4ba-1a677903809b · inbound

Harness In-Context Operator Learning with Chain of Operators cites this paper.

Harness In-Context Operator Learning with Chain of Operators Zebra: In-Context Generative Pretraining for Solving Parametric PDEs

Reference 29

Resolution
verified exact
arxiv_id, observed 2026-07-03T08:17:46.060835Z

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.

source=pdf_text observed=2026-06-27T10:45:40.188341Z digest=sha256:27833e095293ddfbcfc8644354c0c5ad6a3ee55536e15b9f801ff35b45b5b133