Paper Citation Record · LEDGER

HEPA: A Self-Supervised Horizon-Conditioned Event Predictive Architecture for Time Series

As of 5 August 2026, this Paper Citation Record lists 44 of 44 outbound references and 0 inbound Pith citation observations for arXiv:2605.11130.

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

pith.paper-citation-record.v1
2605.11130 v4

Coverage vector

measured 44 of 44 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-30T22:27:22.932214Z

measured 44 of 44 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-05T06:32:48.257954+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

44 of 44 outbound references displayed

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verified fuzzy32
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 7d6a61d6-8d23-4f4f-a1e6-e4fe8dd4000c · outbound

This paper cites Early- warning signals for critical transitions.Nature, 461(7260):53–59.

HEPA: A Self-Supervised Horizon-Conditioned Event Predictive Architecture for Time Series Early- warning signals for critical transitions.Nature, 461(7260):53–59

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T13:43:48.232023Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation bea9d2c5-a1bc-41ec-af82-251b7839cd56 · outbound

This paper cites A two-stage attention-based hierarchical transformer for turbofan engine remaining useful life prediction.Sensors, 24(3):824.

HEPA: A Self-Supervised Horizon-Conditioned Event Predictive Architecture for Time Series A two-stage attention-based hierarchical transformer for turbofan engine remaining useful life prediction.Sensors, 24(3):824

Reference 2

Resolution: verified exact; doi, observed 2026-06-30T22:45:06.896375Z

Source-reported events for the cited work

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Observation a144baee-2e53-4e4d-8683-4d76e46c8684 · outbound

This paper cites Anomaly transformer: Time series anomaly detection with association discrepancy.

HEPA: A Self-Supervised Horizon-Conditioned Event Predictive Architecture for Time Series Anomaly transformer: Time series anomaly detection with association discrepancy

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T13:43:48.230346Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 412c6d3c-cf23-4a30-b642-6d9d152dad37 · outbound

This paper cites MTS-JEPA: Multi-resolution joint- embedding predictive architecture for time-series anomaly prediction.

HEPA: A Self-Supervised Horizon-Conditioned Event Predictive Architecture for Time Series MTS-JEPA: Multi-resolution joint- embedding predictive architecture for time-series anomaly prediction

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T13:43:48.226897Z

Source-reported events for the cited work

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Observation bd4e0cdf-3233-48c5-ade1-dc70609d9393 · outbound

This paper cites A time series is worth 64 words: Long-term forecasting with transformers.

HEPA: A Self-Supervised Horizon-Conditioned Event Predictive Architecture for Time Series A time series is worth 64 words: Long-term forecasting with transformers

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T13:43:48.228528Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation ac167953-3cad-417d-88d6-413f7f8085b3 · outbound

This paper cites Chronos: Learning the Language of Time Series.

HEPA: A Self-Supervised Horizon-Conditioned Event Predictive Architecture for Time Series Chronos: Learning the Language of Time Series

Reference 6

Resolution: verified exact; local_arxiv, observed 2026-07-01T14:05:45.845320Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 64565939-c9f6-4011-9387-025e407723ea · outbound

This paper cites A decoder-only foundation model for time-series forecasting.

HEPA: A Self-Supervised Horizon-Conditioned Event Predictive Architecture for Time Series A decoder-only foundation model for time-series forecasting

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T13:43:48.233713Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 11053d88-9436-4346-b53b-985ae0e501c0 · outbound

This paper cites Self-supervised learning from images with a joint- embedding predictive architecture.

HEPA: A Self-Supervised Horizon-Conditioned Event Predictive Architecture for Time Series Self-supervised learning from images with a joint- embedding predictive architecture

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T13:43:48.223137Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 3f27e22d-cfc9-4d74-87b2-7f615a87fb9f · outbound

This paper cites Damage propagation modeling for aircraft engine run-to-failure simulation.

HEPA: A Self-Supervised Horizon-Conditioned Event Predictive Architecture for Time Series Damage propagation modeling for aircraft engine run-to-failure simulation

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T13:43:48.221196Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 1030b98d-10df-4b10-a619-dae660dcf3d5 · outbound

This paper cites TS2Vec: Towards universal representation of time series.

HEPA: A Self-Supervised Horizon-Conditioned Event Predictive Architecture for Time Series TS2Vec: Towards universal representation of time series

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T13:43:48.219519Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation ddde1b28-bbe9-499f-8908-3255bd68093f · outbound

This paper cites Unsupervised representation learning for time series with temporal neighborhood coding.

HEPA: A Self-Supervised Horizon-Conditioned Event Predictive Architecture for Time Series Unsupervised representation learning for time series with temporal neighborhood coding

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T13:43:48.224908Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation bcab2cbe-2e1e-48aa-9539-c6eb3e74a229 · outbound

This paper cites TimesURL: Self-supervised contrastive learning for universal time series representation learning.

HEPA: A Self-Supervised Horizon-Conditioned Event Predictive Architecture for Time Series TimesURL: Self-supervised contrastive learning for universal time series representation learning

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T13:43:48.235467Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation f8969a15-4731-4c11-a21b-664fb8e9d29f · outbound

This paper cites Representation Learning with Contrastive Predictive Coding.

HEPA: A Self-Supervised Horizon-Conditioned Event Predictive Architecture for Time Series Representation Learning with Contrastive Predictive Coding

Reference 13

Resolution: verified exact; local_arxiv, observed 2026-07-01T14:05:45.842441Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 92eca8f5-19a1-4aa0-b2db-794565e18d2e · outbound

This paper cites CoST: Contrastive learning of disentangled seasonal-trend representations for time series forecasting.

HEPA: A Self-Supervised Horizon-Conditioned Event Predictive Architecture for Time Series CoST: Contrastive learning of disentangled seasonal-trend representations for time series forecasting

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T13:43:48.212540Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 8618f230-304c-445a-9d26-6937944cfbad · outbound

This paper cites SimMTM: A simple pre-training framework for masked time-series modeling.

HEPA: A Self-Supervised Horizon-Conditioned Event Predictive Architecture for Time Series SimMTM: A simple pre-training framework for masked time-series modeling

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T13:43:48.214499Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 8126d83a-30ca-4403-97e4-cfc25833f05e · outbound

This paper cites TimesNet: Temporal 2d-variation modeling for general time series analysis.

HEPA: A Self-Supervised Horizon-Conditioned Event Predictive Architecture for Time Series TimesNet: Temporal 2d-variation modeling for general time series analysis

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T13:43:48.210685Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 20013230-2461-4a10-bdc6-88930917bd10 · outbound

This paper cites Revisiting feature prediction for learning visual repre- sentations from video.TMLR.

HEPA: A Self-Supervised Horizon-Conditioned Event Predictive Architecture for Time Series Revisiting feature prediction for learning visual repre- sentations from video.TMLR

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T13:43:48.216323Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 20a7a723-e97a-456c-ae80-d153d86f85c2 · outbound

This paper cites Joint embeddings go temporal.

HEPA: A Self-Supervised Horizon-Conditioned Event Predictive Architecture for Time Series Joint embeddings go temporal

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T13:43:48.217955Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation f8a3c17e-a540-4230-b950-81c096f0aaed · outbound

This paper cites LeJEPA: Provable and Scalable Self-Supervised Learning Without the Heuristics.

HEPA: A Self-Supervised Horizon-Conditioned Event Predictive Architecture for Time Series LeJEPA: Provable and Scalable Self-Supervised Learning Without the Heuristics

Reference 19

Resolution: verified exact; local_arxiv, observed 2026-07-01T14:05:45.851665Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 7f75de25-38e3-435a-ae80-dc6c75b62e1d · outbound

This paper cites MOMENT: A family of open time-series foundation models.

HEPA: A Self-Supervised Horizon-Conditioned Event Predictive Architecture for Time Series MOMENT: A family of open time-series foundation models

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T13:43:48.199865Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 2e44175f-0d5d-4d4a-aadb-c417d76c8b80 · outbound

This paper cites Unified Training of Universal Time Series Forecasting Transformers.

HEPA: A Self-Supervised Horizon-Conditioned Event Predictive Architecture for Time Series Unified Training of Universal Time Series Forecasting Transformers

Reference 21

Resolution: verified exact; arxiv_id, observed 2026-07-01T14:05:45.848520Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation efd3f7b9-77af-4ecb-a80a-b3b6c7b1f854 · outbound

This paper cites UniTS: Building a unified time series model.

HEPA: A Self-Supervised Horizon-Conditioned Event Predictive Architecture for Time Series UniTS: Building a unified time series model

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T13:43:48.201636Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation e323395d-400a-4b1c-8a70-420372ef02dc · outbound

This paper cites Timer: Generative pre-trained transformers are large time series models.

HEPA: A Self-Supervised Horizon-Conditioned Event Predictive Architecture for Time Series Timer: Generative pre-trained transformers are large time series models

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T13:43:48.194421Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation f9f01d11-18f2-45c0-9f61-8b635d185f08 · outbound

This paper cites One fits all: Power general time series analysis by pretrained LM.

HEPA: A Self-Supervised Horizon-Conditioned Event Predictive Architecture for Time Series One fits all: Power general time series analysis by pretrained LM

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T13:43:48.192810Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 183d60df-e814-4656-b5b0-a6c8c6241cba · outbound

This paper cites FactoryNet: A Large-Scale Dataset toward Industrial Time-Series Foundation Models.

HEPA: A Self-Supervised Horizon-Conditioned Event Predictive Architecture for Time Series FactoryNet: A Large-Scale Dataset toward Industrial Time-Series Foundation Models

Reference 25

Resolution: verified exact; local_arxiv, observed 2026-07-01T14:05:45.836159Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 7f317f57-9d7a-4bb5-8411-53542bdd3c02 · outbound

This paper cites FactoryBench: Evaluating Industrial Machine Understanding.

HEPA: A Self-Supervised Horizon-Conditioned Event Predictive Architecture for Time Series FactoryBench: Evaluating Industrial Machine Understanding

Reference 26

Resolution: verified exact; local_arxiv, observed 2026-07-01T14:05:45.841714Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 63bbff54-7fcc-4d57-b905-5d626854d9c5 · outbound

This paper cites Self-supervised pretraining via multi- modally augmented representations for remaining useful life prediction.IEEE Transactions on Industrial Informatics, 18(9):5954–5964.

HEPA: A Self-Supervised Horizon-Conditioned Event Predictive Architecture for Time Series Self-supervised pretraining via multi- modally augmented representations for remaining useful life prediction.IEEE Transactions on Industrial Informatics, 18(9):5954–5964

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T13:43:48.189304Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation a3ec3f1d-4985-43d1-a0d0-89f4a265e653 · outbound

This paper cites Masked autoencoder-based self-supervised learning for remaining useful life prediction of turbofan engines.Engineering Applications of Artificial Intelligence, 133.

HEPA: A Self-Supervised Horizon-Conditioned Event Predictive Architecture for Time Series Masked autoencoder-based self-supervised learning for remaining useful life prediction of turbofan engines.Engineering Applications of Artificial Intelligence, 133

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T13:43:48.191112Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 4355a42b-34b9-4f72-a8e7-2f34f741b7ab · outbound

This paper cites DCdetector: Dual attention contrastive representation learning for time series anomaly detection.

HEPA: A Self-Supervised Horizon-Conditioned Event Predictive Architecture for Time Series DCdetector: Dual attention contrastive representation learning for time series anomaly detection

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T13:43:48.196048Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 7caf4148-e040-4f45-9376-07fb06b407b5 · outbound

This paper cites TranAD: Deep transformer networks for anomaly detection in multivariate time series data.Proceedings of the VLDB Endowment, 15(6):1201–1214.

HEPA: A Self-Supervised Horizon-Conditioned Event Predictive Architecture for Time Series TranAD: Deep transformer networks for anomaly detection in multivariate time series data.Proceedings of the VLDB Endowment, 15(6):1201–1214

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T13:43:48.203357Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 8e93d3f1-0794-43fc-ba2c-c1233b093400 · outbound

This paper cites Towards a Rigorous Evaluation of Time-series Anomaly Detection.

HEPA: A Self-Supervised Horizon-Conditioned Event Predictive Architecture for Time Series Towards a Rigorous Evaluation of Time-series Anomaly Detection

Reference 31

Resolution: verified exact; arxiv_id, observed 2026-07-01T14:05:45.844473Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 76ed14db-4589-4fff-ad34-cde7b6b5e33c · outbound

This paper cites Anomaly detection in time series: A comprehensive evaluation.Proceedings of the VLDB Endowment, 15(9):1779–1797.

HEPA: A Self-Supervised Horizon-Conditioned Event Predictive Architecture for Time Series Anomaly detection in time series: A comprehensive evaluation.Proceedings of the VLDB Endowment, 15(9):1779–1797

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T13:43:48.183795Z

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No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 02f63da9-3546-4311-8bcf-6bfb0aa0ea86 · outbound

This paper cites DeepHit: A deep learning approach to survival analysis with competing risks.

HEPA: A Self-Supervised Horizon-Conditioned Event Predictive Architecture for Time Series DeepHit: A deep learning approach to survival analysis with competing risks

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T13:43:48.185482Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation f3514086-88bc-40c6-a8a8-511d532b4f60 · outbound

This paper cites PeerJ7, 6257 (2019) https://doi.org/10.7717/peerj.6257.

HEPA: A Self-Supervised Horizon-Conditioned Event Predictive Architecture for Time Series PeerJ7, 6257 (2019) https://doi.org/10.7717/peerj.6257

Reference 34

Resolution: metadata mismatch; doi, observed 2026-06-30T22:45:06.898559Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 3c8d7625-9d64-45b2-9ee2-8014c45aff7c · outbound

This paper cites Reversible instance normalization for accurate time-series forecasting against distribution shift.

HEPA: A Self-Supervised Horizon-Conditioned Event Predictive Architecture for Time Series Reversible instance normalization for accurate time-series forecasting against distribution shift

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T13:43:48.187427Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation ddb5c5d3-cfa5-4f5a-b268-df26f7b0a493 · outbound

This paper cites iTransformer: Inverted transformers are effective for time series forecasting.

HEPA: A Self-Supervised Horizon-Conditioned Event Predictive Architecture for Time Series iTransformer: Inverted transformers are effective for time series forecasting

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T13:43:48.205058Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 2a9b69da-b69e-41ab-95c3-2e4bd2830d5a · outbound

This paper cites Cover and Joy A.

HEPA: A Self-Supervised Horizon-Conditioned Event Predictive Architecture for Time Series Cover and Joy A

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T13:43:48.208920Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation b7a0c129-a46a-41a2-933d-e3fce247e44b · outbound

This paper cites Cambridge University Press.

HEPA: A Self-Supervised Horizon-Conditioned Event Predictive Architecture for Time Series Cambridge University Press

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T13:43:48.206809Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 70db55cc-74d7-43e1-afb4-5ed30b86c774 · outbound

This paper cites Sharpening Jensen’s inequality.IEEE Transactions on Information Theory, 68(5):2961–2972.

HEPA: A Self-Supervised Horizon-Conditioned Event Predictive Architecture for Time Series Sharpening Jensen’s inequality.IEEE Transactions on Information Theory, 68(5):2961–2972

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T13:43:48.214820Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation c2f171b6-b4e5-4177-9f87-d456bc69d500 · outbound

This paper cites The information bottleneck method.

HEPA: A Self-Supervised Horizon-Conditioned Event Predictive Architecture for Time Series The information bottleneck method

Reference 40

Resolution: metadata mismatch; local_arxiv, observed 2026-07-01T14:05:45.854448Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 25996b98-93a8-4069-a674-36576d6e4c9a · outbound

This paper cites The encoder is free to retain all information about the past.

HEPA: A Self-Supervised Horizon-Conditioned Event Predictive Architecture for Time Series The encoder is free to retain all information about the past

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T13:43:48.216628Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation a1bed760-976d-40cc-b367-7a1486658533 · outbound

This paper cites an unresolved cited work.

HEPA: A Self-Supervised Horizon-Conditioned Event Predictive Architecture for Time Series Unresolved cited work

Reference 42

Resolution: unresolved; raw_fallback, observed 2026-07-07T13:43:48.218229Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 8752db9a-06f8-4178-851a-c608b1760807 · outbound

This paper cites JEPA imposes causal structure: the encoder sees only the past, the target encoder sees only the future.

HEPA: A Self-Supervised Horizon-Conditioned Event Predictive Architecture for Time Series JEPA imposes causal structure: the encoder sees only the past, the target encoder sees only the future

Reference 43

Resolution: malformed identifier; raw_fallback, observed 2026-07-07T13:43:48.219894Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 16fe3ecd-ee7c-4671-9bd4-6a08e58ebcbe · outbound

This paper cites Predictor finetuning is robust to the target-encoder update rule; we use joint training for its simplicity (no momentum schedule, no separate sync interval).

HEPA: A Self-Supervised Horizon-Conditioned Event Predictive Architecture for Time Series Predictor finetuning is robust to the target-encoder update rule; we use joint training for its simplicity (no momentum schedule, no separate sync interval)

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T13:43:48.213047Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Pith citing papers

No inbound Pith citation observations are available.