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Paper Citation Record · LEDGER

Data Curation Matters: Model Collapse and Spurious Shift Performance Prediction from Training on Uncurated Text Embeddings

As of 7 August 2026, this Paper Citation Record lists 20 of 20 outbound references and 0 inbound Pith citation observations for arXiv:2506.17989.

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

pith.paper-citation-record.v1
2506.17989 v1

Coverage vector

measured 20 of 20 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T23:28:52.617983Z

measured 20 of 20 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

20 of 20 outbound references displayed

  • verified exact1
  • verified fuzzy3
  • unresolved14
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch2

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 9396c322-c360-4b59-8bda-a44b0e5fa836 · outbound

This paper cites Bayesian Deep Learning and a Probabilistic Perspective of Generalization.

Data Curation Matters: Model Collapse and Spurious Shift Performance Prediction from Training on Uncurated Text Embeddings Bayesian Deep Learning and a Probabilistic Perspective of Generalization

Reference 1

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 906855c4-12ed-4d0e-8fe1-247e0ce0554e · outbound

This paper cites The column ”Well-defined” refers to empirical observation that the corresponding HP sets do not collapse for the tabular modality in our setting.

Data Curation Matters: Model Collapse and Spurious Shift Performance Prediction from Training on Uncurated Text Embeddings The column ”Well-defined” refers to empirical observation that the corresponding HP sets do not collapse for the tabular modality in our setting

Reference 6

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verified fuzzy
raw_fallback, observed 2026-08-06T23:28:56.925165Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 2dc0652a-6e17-45b8-9d81-383c469c4ed4 · outbound

This paper cites A Closer Look at Multimodal Representation Collapse.

Data Curation Matters: Model Collapse and Spurious Shift Performance Prediction from Training on Uncurated Text Embeddings A Closer Look at Multimodal Representation Collapse

Reference 7

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 4e72d7c3-b68b-44bd-8161-0031bba4bf4c · outbound

This paper cites Strong Model Collapse.

Data Curation Matters: Model Collapse and Spurious Shift Performance Prediction from Training on Uncurated Text Embeddings Strong Model Collapse

Reference 9

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 14719e05-2dfc-42f0-baac-2a73f0151773 · outbound

This paper cites Collision Avoidance Detour for Multi-Agent Trajectory Forecasting.

Data Curation Matters: Model Collapse and Spurious Shift Performance Prediction from Training on Uncurated Text Embeddings Collision Avoidance Detour for Multi-Agent Trajectory Forecasting

Reference 10

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metadata mismatch
local_arxiv, observed 2026-08-06T23:28:54.142319Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 6f533305-1078-4868-b5a8-90b58dca44f6 · outbound

This paper cites When is invariance useful in an Out-of-Distribution Generalization problem ?.

Data Curation Matters: Model Collapse and Spurious Shift Performance Prediction from Training on Uncurated Text Embeddings When is invariance useful in an Out-of-Distribution Generalization problem ?

Reference 13

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation fbc4c845-c9ac-4057-92fd-7a55cfdc46fd · outbound

This paper cites MTEB: Massive Text Embedding Benchmark.

Data Curation Matters: Model Collapse and Spurious Shift Performance Prediction from Training on Uncurated Text Embeddings MTEB: Massive Text Embedding Benchmark

Reference 14

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verified fuzzy
raw_fallback, observed 2026-08-06T23:28:58.045161Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 0996a97d-8c30-4725-b4fc-14d636386664 · outbound

This paper cites TABLET: Learning From Instructions For Tabular Data.

Data Curation Matters: Model Collapse and Spurious Shift Performance Prediction from Training on Uncurated Text Embeddings TABLET: Learning From Instructions For Tabular Data

Reference 15

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 8d3205fd-f7fd-4ac5-81ad-99c12b4ff1a2 · outbound

This paper cites Improving Text Embeddings with Large Language Models.

Data Curation Matters: Model Collapse and Spurious Shift Performance Prediction from Training on Uncurated Text Embeddings Improving Text Embeddings with Large Language Models

Reference 16

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no resolver link, observed 2026-08-06T23:28:51.830124Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 984b6ad5-9c07-4306-972e-4fc466592257 · outbound

This paper cites LLM Em- beddings Improve Test-time Adaptation to TabularY|X - Shifts.

Data Curation Matters: Model Collapse and Spurious Shift Performance Prediction from Training on Uncurated Text Embeddings LLM Em- beddings Improve Test-time Adaptation to TabularY|X - Shifts

Reference 17

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 5fa6a679-b761-4705-bfec-b66c9584fc0a · outbound

This paper cites an unresolved cited work.

Data Curation Matters: Model Collapse and Spurious Shift Performance Prediction from Training on Uncurated Text Embeddings Unresolved cited work

Reference 19

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 0e7ae623-562f-4d52-a65d-4a4ffdb4a8a4 · outbound

This paper cites TabTransformer: Tabular Data Modeling Using Contextual Embeddings.

Data Curation Matters: Model Collapse and Spurious Shift Performance Prediction from Training on Uncurated Text Embeddings TabTransformer: Tabular Data Modeling Using Contextual Embeddings

Reference 2013

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Unavailable: canonical work link unavailable.

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Observation 2bb3c47f-bb2c-4c9f-8b6e-c48eafe98306 · outbound

This paper cites Linq-Embed-Mistral Technical Report.

Data Curation Matters: Model Collapse and Spurious Shift Performance Prediction from Training on Uncurated Text Embeddings Linq-Embed-Mistral Technical Report

Reference 2016

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Unavailable: canonical work link unavailable.

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Observation f933dc52-b46a-4760-a426-dcee67915dc5 · outbound

This paper cites Agreement-on-the-Line: Predicting the Performance of Neural Networks under Distribution Shift.

Data Curation Matters: Model Collapse and Spurious Shift Performance Prediction from Training on Uncurated Text Embeddings Agreement-on-the-Line: Predicting the Performance of Neural Networks under Distribution Shift

Reference 2017

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local_arxiv, observed 2026-08-06T23:28:56.154801Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 198787df-16df-4fc8-98b6-71ce87b2b8b9 · outbound

This paper cites Unifying Dis- tributionally Robust Optimization via Optimal Transport Theory.arXiv preprint arXiv:2308.05414,.

Data Curation Matters: Model Collapse and Spurious Shift Performance Prediction from Training on Uncurated Text Embeddings Unifying Dis- tributionally Robust Optimization via Optimal Transport Theory.arXiv preprint arXiv:2308.05414,

Reference 2019

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation f6ed6542-39da-489d-a8c0-867d9f524ca4 · outbound

This paper cites Invariant Risk Minimization.

Data Curation Matters: Model Collapse and Spurious Shift Performance Prediction from Training on Uncurated Text Embeddings Invariant Risk Minimization

Reference 2021

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Unavailable: canonical work link unavailable.

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Observation f9d24930-daa1-42e9-b621-f14e6b58805b · outbound

This paper cites Reassessing the Validity of Spurious Correlations Benchmarks.

Data Curation Matters: Model Collapse and Spurious Shift Performance Prediction from Training on Uncurated Text Embeddings Reassessing the Validity of Spurious Correlations Benchmarks

Reference 2022

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local_arxiv, observed 2026-08-06T23:28:55.665069Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 3bc0ac7b-7f47-4472-9094-4e0ec7625b97 · outbound

This paper cites Diagnosing Model Performance Under Distribution Shift.

Data Curation Matters: Model Collapse and Spurious Shift Performance Prediction from Training on Uncurated Text Embeddings Diagnosing Model Performance Under Distribution Shift

Reference 2023

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Unavailable: canonical work link unavailable.

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Observation 5b3167b5-fcbd-4ab2-8e5c-7e362cc0ee43 · outbound

This paper cites an unresolved cited work.

Data Curation Matters: Model Collapse and Spurious Shift Performance Prediction from Training on Uncurated Text Embeddings Unresolved cited work

Reference 2024

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Unavailable: canonical work link unavailable.

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Observation 0cf617d8-0fbd-4ce0-9aab-e658f177bfa8 · outbound

This paper cites How to Synthesize Text Data without Model Collapse?.

Data Curation Matters: Model Collapse and Spurious Shift Performance Prediction from Training on Uncurated Text Embeddings How to Synthesize Text Data without Model Collapse?

Reference 2025

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Pith citing papers

No inbound Pith citation observations are available.