Pith. sign in

Paper Citation Record · LEDGER

A Fine-Grained Analysis on Distribution Shift

As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2110.11328.

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

pith.paper-citation-record.v1
2110.11328 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T21:42:09.532960Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T14:47:03.301450Z

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 fcdf2420-2ed5-4a6e-a570-af32c680ef49 · inbound

An Analysis of Model Robustness across Concurrent Distribution Shifts cites this paper.

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=sha256:0210ea17ef5a6e4f2e1485327580b89d80696ad8559c55f46cfeae4d4a5044bf

Observation 1f25e242-5247-433e-bfab-8f4300dcadfa · inbound

Suitability Filter: A Statistical Framework for Classifier Evaluation in Real-World Deployment Settings cites this paper.

Suitability Filter: A Statistical Framework for Classifier Evaluation in Real-World Deployment Settings A Fine-Grained Analysis on Distribution Shift

Reference 86

Resolution
unresolved
no resolver link, observed 2026-08-07T13:20:27.172233Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T13:20:27.172233Z digest=sha256:55da6cba1e60d56ca4407088db290c82662644a50292be36a80de5c609aab86c

Observation c19d3b58-ff4b-4cc8-a681-1db72ce5307f · inbound

Agentic AIs Are the Missing Paradigm for Out-of-Distribution Generalization in Foundation Models cites this paper.

Agentic AIs Are the Missing Paradigm for Out-of-Distribution Generalization in Foundation Models A Fine-Grained Analysis on Distribution Shift

Reference 27

Resolution
verified exact
arxiv_id, observed 2026-05-11T19:16:07.052297Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-08T12:30:27.763123Z digest=sha256:5ffb3f8bfe2d58402479e830e7b7d38966c011a398ce995c796afacefe970af2

Observation d31f1182-a3db-4925-9528-3f007b688305 · inbound

Identifying Latent Concepts and Structures for Generalized Category Discovery cites this paper.

Identifying Latent Concepts and Structures for Generalized Category Discovery A Fine-Grained Analysis on Distribution Shift

Reference 113

Resolution
metadata mismatch
arxiv_id, observed 2026-07-02T14:47:03.302984Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-07-02T14:42:01.334822Z digest=sha256:26e0ca53c12840c209b4b8b385fc530d75053ac0c4e296490c1fe8d1b560a9cb

Observation 5326a00a-5b2b-43c6-98ee-cbed23d1dcaa · inbound

PIER: Physics-Informed Environmental Retrieval for Time-Series Modeling cites this paper.

PIER: Physics-Informed Environmental Retrieval for Time-Series Modeling A Fine-Grained Analysis on Distribution Shift

Reference 56

Resolution
unresolved
no resolver link, observed 2026-08-01T10:29:13.211440Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T10:29:13.211440Z digest=sha256:ee5898b2bcbf93e1247952b2ef0c3c165bad5575b8e5135739b8ab64b19f4db7