Paper Citation Record · LEDGER

Amazing Things Come From Having Many Good Models

As of 12 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 11 inbound Pith citation observations for arXiv:2407.04846.

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

pith.paper-citation-record.v1
2407.04846 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 11 of 11 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00

measured 11 of 11 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T17:52:26.312395Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-16T23:08:39.474620Z

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 a963a238-0e2f-4a39-bd6f-20cd256c552f · inbound

Investigating the Impact of Balancing, Filtering, and Complexity on Predictive Multiplicity: A Data-Centric Perspective cites this paper.

Investigating the Impact of Balancing, Filtering, and Complexity on Predictive Multiplicity: A Data-Centric Perspective Amazing Things Come From Having Many Good Models

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-11T16:53:52.837909Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3938823c-fc64-4a82-b981-56ae7e8d47bc · inbound

What Constitutes a Less Discriminatory Algorithm? cites this paper.

What Constitutes a Less Discriminatory Algorithm? Amazing Things Come From Having Many Good Models

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-11T05:04:04.028141Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 384b7469-c85d-4fc2-a991-760cd0c0b1ab · inbound

Systemizing Multiplicity: The Curious Case of Arbitrariness in Machine Learning cites this paper.

Systemizing Multiplicity: The Curious Case of Arbitrariness in Machine Learning Amazing Things Come From Having Many Good Models

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-10T14:49:40.282193Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2757799b-e5fa-4049-b02e-b5761caa4ed8 · inbound

Reconsidering Fairness Through Unawareness From the Perspective of Model Multiplicity cites this paper.

Reconsidering Fairness Through Unawareness From the Perspective of Model Multiplicity Amazing Things Come From Having Many Good Models

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-07T15:03:44.957416Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 01468f25-062c-47b2-bc33-5d4324cc67e1 · inbound

Unsupervised Machine Learning for Scientific Discovery: Workflow and Best Practices cites this paper.

Unsupervised Machine Learning for Scientific Discovery: Workflow and Best Practices Amazing Things Come From Having Many Good Models

Reference 140

Resolution: unresolved; no resolver link, observed 2026-08-07T10:45:04.922305Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cb1c9e34-a74e-4881-a707-fb899edd7bb5 · inbound

VAR: Visual Analysis for Rashomon Set of Machine Learning Models' Performance cites this paper.

VAR: Visual Analysis for Rashomon Set of Machine Learning Models' Performance Amazing Things Come From Having Many Good Models

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-06T11:36:24.371896Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 17d81b41-271b-4ede-8cd5-85bc8071995e · inbound

All Emulators are Wrong, Many are Useful, and Some are More Useful Than Others: A Reproducible Comparison of Computer Model Surrogates cites this paper.

All Emulators are Wrong, Many are Useful, and Some are More Useful Than Others: A Reproducible Comparison of Computer Model Surrogates Amazing Things Come From Having Many Good Models

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-05-16T23:08:39.476965Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 175cdcd6-e70f-4a0b-889c-99ef0916a384 · inbound

Rashomon Sets and Model Multiplicity in Federated Learning cites this paper.

Rashomon Sets and Model Multiplicity in Federated Learning Amazing Things Come From Having Many Good Models

Reference 47

Resolution: metadata mismatch; arxiv_id, observed 2026-05-16T03:22:12.801065Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 3d9d32b8-d183-4d72-9ba7-698ba5687a57 · inbound

Is Model Instability just Noise to be Tolerated or a Property that can be Managed? cites this paper.

Is Model Instability just Noise to be Tolerated or a Property that can be Managed? Amazing Things Come From Having Many Good Models

Reference 29

Resolution: unresolved; no resolver link, observed 2026-07-14T11:53:03.155738Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3c9831ab-2d18-4ca8-855f-353dc8374016 · inbound

Scaling Inherently Interpretable Language Models cites this paper.

Scaling Inherently Interpretable Language Models Amazing Things Come From Having Many Good Models

Reference 184

Resolution: unresolved; no resolver link, observed 2026-08-11T00:36:59.127790Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bb54a39f-447c-40de-9839-ed1b6431d614 · inbound

Rule of Thumb: Explaining Artificial Intelligence Systems using Partial Information cites this paper.

Rule of Thumb: Explaining Artificial Intelligence Systems using Partial Information Amazing Things Come From Having Many Good Models

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-12T17:52:26.312395Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.