Paper Citation Record · LEDGER

When Should Dense Retrievers Be Updated in Evolving Corpora? Detecting Out-of-Distribution Corpora Using GradNormIR

As of 12 August 2026, this Paper Citation Record lists 20 of 20 outbound references and 0 inbound Pith citation observations for arXiv:2506.01877.

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

pith.paper-citation-record.v1
2506.01877 v1

Coverage vector

measured 20 of 20 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T11:39:47.128706Z

measured 20 of 20 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 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 exact0
verified fuzzy6
unresolved13
parse uncertain0
malformed identifier1
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation db0efba1-5a7e-4c18-be85-a6745736d4dc · outbound

This paper cites We prompt it to generate a question along with a corresponding answer to ensure the question can be answered.

When Should Dense Retrievers Be Updated in Evolving Corpora? Detecting Out-of-Distribution Corpora Using GradNormIR We prompt it to generate a question along with a corresponding answer to ensure the question can be answered

Reference 1

Resolution: malformed identifier; raw_fallback, observed 2026-08-07T11:39:48.880553Z

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 bec33e31-a9c6-43f0-93be-3adf6cf98f16 · outbound

This paper cites M3-Embedding: Multi-Linguality, Multi-Functionality, Multi-Granularity Text Embeddings Through Self-Knowledge Distillation.

When Should Dense Retrievers Be Updated in Evolving Corpora? Detecting Out-of-Distribution Corpora Using GradNormIR M3-Embedding: Multi-Linguality, Multi-Functionality, Multi-Granularity Text Embeddings Through Self-Knowledge Distillation

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-07T11:38:46.165219Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b8765121-1233-4c87-92a4-fbb5e4b72481 · outbound

This paper cites In Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP), pages 6769–6781.

When Should Dense Retrievers Be Updated in Evolving Corpora? Detecting Out-of-Distribution Corpora Using GradNormIR In Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP), pages 6769–6781

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:39:52.465448Z

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 ab9b727d-17d0-4737-81a2-7df231c945a4 · outbound

This paper cites In Proceedings of the 2024 Confer- ence on Empirical Methods in Natural Language Pro- cessing, pages 13752–13770, Miami, Florida, USA.

When Should Dense Retrievers Be Updated in Evolving Corpora? Detecting Out-of-Distribution Corpora Using GradNormIR In Proceedings of the 2024 Confer- ence on Empirical Methods in Natural Language Pro- cessing, pages 13752–13770, Miami, Florida, USA

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:39:52.330330Z

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 0af9438f-988f-4e05-9a72-459935929e31 · outbound

This paper cites RouterRetriever: Routing over a Mixture of Expert Embedding Models.

When Should Dense Retrievers Be Updated in Evolving Corpora? Detecting Out-of-Distribution Corpora Using GradNormIR RouterRetriever: Routing over a Mixture of Expert Embedding Models

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-07T11:38:53.661423Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 10ee5900-e42f-4fde-a258-0e3950ee49bc · outbound

This paper cites Robust Neural Information Retrieval: An Adversarial and Out-of-distribution Perspective.

When Should Dense Retrievers Be Updated in Evolving Corpora? Detecting Out-of-Distribution Corpora Using GradNormIR Robust Neural Information Retrieval: An Adversarial and Out-of-distribution Perspective

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-07T11:39:46.344952Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7a8b9e65-cd40-462f-8b21-89cdff7e1ead · outbound

This paper cites Large Dual Encoders Are Generalizable Retrievers.

When Should Dense Retrievers Be Updated in Evolving Corpora? Detecting Out-of-Distribution Corpora Using GradNormIR Large Dual Encoders Are Generalizable Retrievers

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-07T11:39:46.437784Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 80ada7e7-e338-4e80-8931-a54464ce4362 · outbound

This paper cites GPL: Generative Pseudo Labeling for Unsupervised Domain Adaptation of Dense Retrieval.

When Should Dense Retrievers Be Updated in Evolving Corpora? Detecting Out-of-Distribution Corpora Using GradNormIR GPL: Generative Pseudo Labeling for Unsupervised Domain Adaptation of Dense Retrieval

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-07T11:39:46.532542Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8206da3f-c7de-4e47-bcdc-f2c6e3ad602c · outbound

This paper cites Multilingual E5 Text Embeddings: A Technical Report.

When Should Dense Retrievers Be Updated in Evolving Corpora? Detecting Out-of-Distribution Corpora Using GradNormIR Multilingual E5 Text Embeddings: A Technical Report

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-07T11:39:46.703513Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c703f6e2-ba66-47d8-a0c4-e9b1a6a57d58 · outbound

This paper cites Leveraging Gradients for Unsupervised Accuracy Estimation under Distribution Shift.

When Should Dense Retrievers Be Updated in Evolving Corpora? Detecting Out-of-Distribution Corpora Using GradNormIR Leveraging Gradients for Unsupervised Accuracy Estimation under Distribution Shift

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-07T11:39:46.849728Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8f705972-75e4-4781-b953-1961af620134 · outbound

This paper cites In Pro- ceedings of the 2022 Conference on Empirical Meth- ods in Natural Language Processing , pages 1462–.

When Should Dense Retrievers Be Updated in Evolving Corpora? Detecting Out-of-Distribution Corpora Using GradNormIR In Pro- ceedings of the 2022 Conference on Empirical Meth- ods in Natural Language Processing , pages 1462–

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:39:51.998933Z

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 39151537-a8bd-4307-a3e2-40c1761de914 · outbound

This paper cites Additionally, when comparing the cases with and without dropout, the decrease is significantly higher as the number of positives in- creases.

When Should Dense Retrievers Be Updated in Evolving Corpora? Detecting Out-of-Distribution Corpora Using GradNormIR Additionally, when comparing the cases with and without dropout, the decrease is significantly higher as the number of positives in- creases

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:39:51.790529Z

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 fd6eb5c6-c1f2-4ab5-afa6-c942f4f1d206 · outbound

This paper cites Towards General Text Embeddings with Multi-stage Contrastive Learning.

When Should Dense Retrievers Be Updated in Evolving Corpora? Detecting Out-of-Distribution Corpora Using GradNormIR Towards General Text Embeddings with Multi-stage Contrastive Learning

Reference 2013

Resolution: unresolved; no resolver link, observed 2026-08-07T11:39:46.245672Z

Source-reported events for the cited work

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Observation 8c9df002-a938-400c-a4c1-411cc20b8720 · outbound

This paper cites MS MARCO: A Human Generated MAchine Reading COmprehension Dataset.

When Should Dense Retrievers Be Updated in Evolving Corpora? Detecting Out-of-Distribution Corpora Using GradNormIR MS MARCO: A Human Generated MAchine Reading COmprehension Dataset

Reference 2016

Resolution: unresolved; no resolver link, observed 2026-08-07T11:38:44.444423Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1c94ed80-4f26-4228-9bb9-9a62c2f4ab5a · outbound

This paper cites In Proceedings of the 2018 Conference on Empiri- cal Methods in Natural Language Processing, pages 2369–2380.

When Should Dense Retrievers Be Updated in Evolving Corpora? Detecting Out-of-Distribution Corpora Using GradNormIR In Proceedings of the 2018 Conference on Empiri- cal Methods in Natural Language Processing, pages 2369–2380

Reference 2018

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:39:52.179780Z

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 c5192492-d565-4d10-af7b-30887551e6ef · outbound

This paper cites In Proceedings of the 2020 Confer- ence on Empirical Methods in Natural Language Processing (EMNLP), pages 7870–7881, Online.

When Should Dense Retrievers Be Updated in Evolving Corpora? Detecting Out-of-Distribution Corpora Using GradNormIR In Proceedings of the 2020 Confer- ence on Empirical Methods in Natural Language Processing (EMNLP), pages 7870–7881, Online

Reference 2020

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:39:52.771397Z

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 1dd2cb8f-945e-4c6a-938d-0d6f0ce4ad1d · outbound

This paper cites SimCSE: Simple Contrastive Learning of Sentence Embeddings.

When Should Dense Retrievers Be Updated in Evolving Corpora? Detecting Out-of-Distribution Corpora Using GradNormIR SimCSE: Simple Contrastive Learning of Sentence Embeddings

Reference 2021

Resolution: unresolved; no resolver link, observed 2026-08-07T11:38:49.614608Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b199c580-34dc-46ec-b998-6d542fc44f1d · outbound

This paper cites Text Embeddings by Weakly-Supervised Contrastive Pre-training.

When Should Dense Retrievers Be Updated in Evolving Corpora? Detecting Out-of-Distribution Corpora Using GradNormIR Text Embeddings by Weakly-Supervised Contrastive Pre-training

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-07T11:39:46.602379Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b2812bc6-4fd7-46e2-a0ea-a0a2dcab8682 · outbound

This paper cites C-Pack: Packed Resources For General Chinese Embeddings.

When Should Dense Retrievers Be Updated in Evolving Corpora? Detecting Out-of-Distribution Corpora Using GradNormIR C-Pack: Packed Resources For General Chinese Embeddings

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-07T11:39:46.785022Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 054cad4d-b7c6-4965-ab24-c1c27fd5b534 · outbound

This paper cites arXiv preprint arXiv:2406.05085.

When Should Dense Retrievers Be Updated in Evolving Corpora? Detecting Out-of-Distribution Corpora Using GradNormIR arXiv preprint arXiv:2406.05085

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-07T11:38:45.255366Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.