Paper Citation Record · LEDGER

Drift Happens: An Empirical Study of Neural Architecture Robustness to Temporal Distribution Shift

As of 12 August 2026, this Paper Citation Record lists 43 of 43 outbound references and 0 inbound Pith citation observations for arXiv:2607.05908.

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

pith.paper-citation-record.v1
2607.05908 v1

Coverage vector

measured 43 of 43 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-08T21:06:05.019222Z

measured 43 of 43 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

43 of 43 outbound references displayed

verified exact12
verified fuzzy23
unresolved3
parse uncertain0
malformed identifier1
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation af771e0f-3140-4c49-b3a7-9d57bb54885a · outbound

This paper cites Automatically detecting data drift in machine learning classifiers.

Drift Happens: An Empirical Study of Neural Architecture Robustness to Temporal Distribution Shift Automatically detecting data drift in machine learning classifiers

Reference 1

Resolution: verified exact; local_arxiv, observed 2026-07-08T21:15:39.303170Z

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

Observation 494410da-7f6b-4a85-b8dd-cbb02d415e21 · outbound

This paper cites Aguiar and Alberto Cano.

Drift Happens: An Empirical Study of Neural Architecture Robustness to Temporal Distribution Shift Aguiar and Alberto Cano

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T21:15:39.513496Z

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Observation c05f82d4-a93d-4d58-a64e-5cad4a5334e0 · outbound

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Drift Happens: An Empirical Study of Neural Architecture Robustness to Temporal Distribution Shift Unresolved cited work

Reference 3

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Observation adc04d82-532d-4fb8-aa27-f9fd7e1efc75 · outbound

This paper cites A theory of learning from different domains.

Drift Happens: An Empirical Study of Neural Architecture Robustness to Temporal Distribution Shift A theory of learning from different domains

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T21:15:39.502594Z

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Observation 2aa1aff1-9f4f-43ad-b1de-a7d799158785 · outbound

This paper cites Modyn: Data-centric machine learning pipeline orchestration.Proc.

Drift Happens: An Empirical Study of Neural Architecture Robustness to Temporal Distribution Shift Modyn: Data-centric machine learning pipeline orchestration.Proc

Reference 5

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Observation 2c9be544-d218-4f94-bcd8-16d409b2f0b7 · outbound

This paper cites In: Moschitti, A., Pang, B., Daelemans, W.

Drift Happens: An Empirical Study of Neural Architecture Robustness to Temporal Distribution Shift In: Moschitti, A., Pang, B., Daelemans, W

Reference 6

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Observation fd6617da-22ad-4652-b0d7-770ac42261da · outbound

This paper cites Le, and Christopher D.

Drift Happens: An Empirical Study of Neural Architecture Robustness to Temporal Distribution Shift Le, and Christopher D

Reference 7

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Observation 2b851848-4bd1-4732-a1d9-52316cca63c5 · outbound

This paper cites arxiv dataset, 2024.

Drift Happens: An Empirical Study of Neural Architecture Robustness to Temporal Distribution Shift arxiv dataset, 2024

Reference 8

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Observation ac892cd5-17d2-4bf8-847e-1c12888eba5c · outbound

This paper cites BERT : Pre-training of Deep Bidirectional Transformers for Language Understanding.

Drift Happens: An Empirical Study of Neural Architecture Robustness to Temporal Distribution Shift BERT : Pre-training of Deep Bidirectional Transformers for Language Understanding

Reference 9

Resolution: verified exact; doi, observed 2026-07-08T21:15:39.020165Z

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Observation d86a4a63-122f-4a1e-b418-a212911dfde9 · outbound

This paper cites An image is worth 16x16 words: Transformers for image recognition at scale.

Drift Happens: An Empirical Study of Neural Architecture Robustness to Temporal Distribution Shift An image is worth 16x16 words: Transformers for image recognition at scale

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T21:15:39.510283Z

Source-reported events for the cited work

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Observation 2d2bbb11-5446-4821-bdd9-b54caed2d121 · outbound

This paper cites EV A-02: A visual representation for neon genesis.Image and Vision Computing, 149:105171, 2024.

Drift Happens: An Empirical Study of Neural Architecture Robustness to Temporal Distribution Shift EV A-02: A visual representation for neon genesis.Image and Vision Computing, 149:105171, 2024

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T21:15:39.493560Z

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Observation e6703e16-6411-4bab-b302-258a32065b53 · outbound

This paper cites A survey on concept drift adaptation.

Drift Happens: An Empirical Study of Neural Architecture Robustness to Temporal Distribution Shift A survey on concept drift adaptation

Reference 12

Resolution: verified exact; doi, observed 2026-07-08T21:15:39.016282Z

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Observation 38d34131-2a0b-43f4-af95-66f721e733a3 · outbound

This paper cites A century of portraits: A visual historical record of american high school yearbooks.

Drift Happens: An Empirical Study of Neural Architecture Robustness to Temporal Distribution Shift A century of portraits: A visual historical record of american high school yearbooks

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T21:15:39.495501Z

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Observation 81bc40ca-47a9-41f1-8198-b5fd1db187eb · outbound

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Drift Happens: An Empirical Study of Neural Architecture Robustness to Temporal Distribution Shift Unresolved cited work

Reference 14

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Observation 70525539-b4f9-4d92-9d66-9f706e1bd4e4 · outbound

This paper cites In search of lost domain generalization.

Drift Happens: An Empirical Study of Neural Architecture Robustness to Temporal Distribution Shift In search of lost domain generalization

Reference 15

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Observation d0560cd7-cdc2-400a-940e-1248b38b96c0 · outbound

This paper cites Deep residual learning for image recognition.

Drift Happens: An Empirical Study of Neural Architecture Robustness to Temporal Distribution Shift Deep residual learning for image recognition

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T21:15:39.489764Z

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Observation 5b85d431-ac98-4b5d-8356-37db49a5897d · outbound

This paper cites Masked autoencoders are scalable vision learners.

Drift Happens: An Empirical Study of Neural Architecture Robustness to Temporal Distribution Shift Masked autoencoders are scalable vision learners

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T21:15:39.483447Z

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Observation e4989cd6-4d93-498a-86df-dca9d73b020d · outbound

This paper cites De- BERTaV3: Improving DeBERTa using ELECTRA- style pre-training with gradient-disentangled embed- ding sharing.

Drift Happens: An Empirical Study of Neural Architecture Robustness to Temporal Distribution Shift De- BERTaV3: Improving DeBERTa using ELECTRA- style pre-training with gradient-disentangled embed- ding sharing

Reference 18

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Observation af062312-e008-41dc-a295-8483a98ec3cf · outbound

This paper cites Long short- term memory.Neural Computation, 9(8):1735–1780,.

Drift Happens: An Empirical Study of Neural Architecture Robustness to Temporal Distribution Shift Long short- term memory.Neural Computation, 9(8):1735–1780,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T21:15:39.487824Z

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Observation 40363cdf-442f-4883-83b4-eadcc0d9c686 · outbound

This paper cites Long short -term memory.

Drift Happens: An Empirical Study of Neural Architecture Robustness to Temporal Distribution Shift Long short -term memory

Reference 20

Resolution: verified exact; doi, observed 2026-07-08T21:15:39.022459Z

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Observation 0bf72c5d-3d12-4def-b69d-e1192ac2a2d6 · outbound

This paper cites An analysis of drift- and cost-aware ml retraining triggering policies in modyn.

Drift Happens: An Empirical Study of Neural Architecture Robustness to Temporal Distribution Shift An analysis of drift- and cost-aware ml retraining triggering policies in modyn

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T21:15:39.500794Z

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Observation e2429882-38f3-4c62-9c02-f0b70f9414be · outbound

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Drift Happens: An Empirical Study of Neural Architecture Robustness to Temporal Distribution Shift Unresolved cited work

Reference 22

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Observation 0d0a386d-3ed3-4cec-bce0-35ee2f1e584a · outbound

This paper cites Bridging Language and Items for Retrieval and Recommendation: Benchmarking LLMs as Semantic Encoders.

Drift Happens: An Empirical Study of Neural Architecture Robustness to Temporal Distribution Shift Bridging Language and Items for Retrieval and Recommendation: Benchmarking LLMs as Semantic Encoders

Reference 23

Resolution: verified exact; local_arxiv, observed 2026-07-08T21:15:39.315424Z

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Observation 1def64d0-a560-413b-a7d0-724640762b57 · outbound

This paper cites Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing (.

Drift Happens: An Empirical Study of Neural Architecture Robustness to Temporal Distribution Shift Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing (

Reference 24

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Observation f5d3a4ee-8acb-4d1d-af66-ef0647f98e86 · outbound

This paper cites Kingma and Jimmy Ba.

Drift Happens: An Empirical Study of Neural Architecture Robustness to Temporal Distribution Shift Kingma and Jimmy Ba

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T21:15:39.480158Z

Source-reported events for the cited work

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Observation 73ca06c0-2b28-4425-9116-8a004992e6a7 · outbound

This paper cites WILDS: A benchmark of in-the-wild distribution shifts.

Drift Happens: An Empirical Study of Neural Architecture Robustness to Temporal Distribution Shift WILDS: A benchmark of in-the-wild distribution shifts

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T21:15:39.498961Z

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Observation 45940eb1-b97c-494a-a112-eb206ebed6bc · outbound

This paper cites RoBERTa: A Robustly Optimized BERT Pretraining Approach.

Drift Happens: An Empirical Study of Neural Architecture Robustness to Temporal Distribution Shift RoBERTa: A Robustly Optimized BERT Pretraining Approach

Reference 27

Resolution: verified exact; local_arxiv, observed 2026-07-08T21:15:39.313020Z

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Observation 89383101-cf05-4b2d-8328-3f23718ed013 · outbound

This paper cites A Con- vNet for the 2020s.

Drift Happens: An Empirical Study of Neural Architecture Robustness to Temporal Distribution Shift A Con- vNet for the 2020s

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T21:15:39.530911Z

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Observation 3ee54dc3-0308-43a7-b064-06a82aa6b767 · outbound

This paper cites Cost- effective retraining of machine learning models, 2023.

Drift Happens: An Empirical Study of Neural Architecture Robustness to Temporal Distribution Shift Cost- effective retraining of machine learning models, 2023

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T21:15:39.532579Z

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Observation c7c87d02-dfca-4b80-8c0a-27246660d823 · outbound

This paper cites Cost-aware retraining for machine learning.

Drift Happens: An Empirical Study of Neural Architecture Robustness to Temporal Distribution Shift Cost-aware retraining for machine learning

Reference 30

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Observation 21c7904e-0cd7-4f00-8cd3-1a4986729305 · outbound

This paper cites DINOv2: Learning robust visual features without su- pervision.Transactions on Machine Learning Re- search (TMLR), 2024.

Drift Happens: An Empirical Study of Neural Architecture Robustness to Temporal Distribution Shift DINOv2: Learning robust visual features without su- pervision.Transactions on Machine Learning Re- search (TMLR), 2024

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T21:15:39.529197Z

Source-reported events for the cited work

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Observation 7fcdb750-dc2e-4a36-8fad-217c54d1cc26 · outbound

This paper cites Failing loudly: An empirical study of methods for detecting dataset shift.

Drift Happens: An Empirical Study of Neural Architecture Robustness to Temporal Distribution Shift Failing loudly: An empirical study of methods for detecting dataset shift

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T21:15:39.523510Z

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Observation 13aa0aff-155d-4366-affb-1a63973ed31d · outbound

This paper cites Learning trans- ferable visual models from natural language supervi- sion.

Drift Happens: An Empirical Study of Neural Architecture Robustness to Temporal Distribution Shift Learning trans- ferable visual models from natural language supervi- sion

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T21:15:39.525392Z

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Observation 28243dee-4ec7-45c8-a454-a358756967fa · outbound

This paper cites DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter.

Drift Happens: An Empirical Study of Neural Architecture Robustness to Temporal Distribution Shift DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter

Reference 34

Resolution: verified exact; local_arxiv, observed 2026-07-08T21:15:39.310746Z

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Observation 271eac52-f6bd-40b2-902e-eb6a79aa162f · outbound

This paper cites DINOv3.

Drift Happens: An Empirical Study of Neural Architecture Robustness to Temporal Distribution Shift DINOv3

Reference 35

Resolution: verified exact; local_arxiv, observed 2026-07-08T21:15:39.305463Z

Source-reported events for the cited work

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Observation bbec70c7-9e64-40fa-ac9a-13b754d973ff · outbound

This paper cites MPNet: Masked and permuted pre-training for language understanding.

Drift Happens: An Empirical Study of Neural Architecture Robustness to Temporal Distribution Shift MPNet: Masked and permuted pre-training for language understanding

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T21:15:39.521708Z

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Observation e4c3e906-50b2-4cf1-a5cb-b20f92e1a41a · outbound

This paper cites Con- tinuum: A platform for cost-aware, low-latency con- tinual learning.

Drift Happens: An Empirical Study of Neural Architecture Robustness to Temporal Distribution Shift Con- tinuum: A platform for cost-aware, low-latency con- tinual learning

Reference 37

Resolution: verified exact; arxiv_id, observed 2026-07-08T21:15:39.014441Z

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Observation e1349ac7-5f0d-431f-9314-9d0e245e5721 · outbound

This paper cites Attention is all you need.

Drift Happens: An Empirical Study of Neural Architecture Robustness to Temporal Distribution Shift Attention is all you need

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T21:15:39.527283Z

Source-reported events for the cited work

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Observation d40ea76f-5f2e-451f-878f-7a3ef122f4bb · outbound

This paper cites MiniLM: Deep self- attention distillation for task-agnostic compression of pre-trained transformers.

Drift Happens: An Empirical Study of Neural Architecture Robustness to Temporal Distribution Shift MiniLM: Deep self- attention distillation for task-agnostic compression of pre-trained transformers

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T21:15:39.515860Z

Source-reported events for the cited work

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Observation 86e2fa92-f548-444a-a7f3-a9065faba0f2 · outbound

This paper cites Smarter, Better, Faster, Longer: A Modern Bidirectional Encoder for Fast, Memory Efficient, and Long Context Finetuning and Inference.

Drift Happens: An Empirical Study of Neural Architecture Robustness to Temporal Distribution Shift Smarter, Better, Faster, Longer: A Modern Bidirectional Encoder for Fast, Memory Efficient, and Long Context Finetuning and Inference

Reference 40

Resolution: verified exact; local_arxiv, observed 2026-07-08T21:15:39.307817Z

Source-reported events for the cited work

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Observation 2c85ec7b-f45f-4886-ba12-0afe64ff4892 · outbound

This paper cites Quantum-inspired digital annealing for join ordering.

Drift Happens: An Empirical Study of Neural Architecture Robustness to Temporal Distribution Shift Quantum-inspired digital annealing for join ordering

Reference 41

Resolution: metadata mismatch; arxiv_id, observed 2026-07-08T21:15:39.028838Z

Source-reported events for the cited work

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Observation 08f9ecf2-6b15-4102-8195-2aea01ae789e · outbound

This paper cites Wild-time: A benchmark of in-the-wild distribution shift over time.

Drift Happens: An Empirical Study of Neural Architecture Robustness to Temporal Distribution Shift Wild-time: A benchmark of in-the-wild distribution shift over time

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T21:15:39.517654Z

Source-reported events for the cited work

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Observation feaa3bb7-f08f-42ca-88b8-d3f3118680a0 · outbound

This paper cites Sigmoid loss for language image pre-training.

Drift Happens: An Empirical Study of Neural Architecture Robustness to Temporal Distribution Shift Sigmoid loss for language image pre-training

Reference 43

Resolution: malformed identifier; raw_fallback, observed 2026-07-08T21:15:39.519752Z

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.

Pith citing papers

No inbound Pith citation observations are available.