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Paper Citation Record · LEDGER

PIER: Physics-Informed Environmental Retrieval for Time-Series Modeling

As of 15 August 2026, this Paper Citation Record lists 100 of 105 outbound references and 0 inbound Pith citation observations for arXiv:2607.20230.

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

pith.paper-citation-record.v1
2607.20230 v1

Coverage vector

measured 100 of 105 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-01T10:29:17.523495Z

measured 100 of 100 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+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

100 of 105 outbound references displayed

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  • verified fuzzy0
  • unresolved100
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 7fc9d4c5-623d-45a1-82f8-7cd044cc788b · outbound

This paper cites an unresolved cited work.

PIER: Physics-Informed Environmental Retrieval for Time-Series Modeling Unresolved cited work

Reference 1

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source=arxiv_source observed=2026-08-01T10:29:07.166837Z digest=sha256:f266afce82f2d5b21a8fa3cf6d0d7e96b7afdc697fec016bdf908f9621baca07

Observation f571953a-8b79-42b9-884e-bad18ee845e3 · outbound

This paper cites Water quality data for national-scale aquatic research: The Water Quality Portal , volume =.

PIER: Physics-Informed Environmental Retrieval for Time-Series Modeling Water quality data for national-scale aquatic research: The Water Quality Portal , volume =

Reference 2

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source=arxiv_source observed=2026-08-01T10:29:07.309755Z digest=sha256:59709d5a637e5af276ca8e82e81b3e7b9f4e690bd6d68efb0717d65e2cd81bd6

Observation 95b6f7a5-1b4a-464c-ba00-92e6ab97160c · outbound

This paper cites Proceedings of the 2023 SIAM International Conference on Data Mining (SDM) , pages=.

PIER: Physics-Informed Environmental Retrieval for Time-Series Modeling Proceedings of the 2023 SIAM International Conference on Data Mining (SDM) , pages=

Reference 3

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no resolver link, observed 2026-08-01T10:29:07.499060Z

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source=arxiv_source observed=2026-08-01T10:29:07.499060Z digest=sha256:dd6df2503e0924f56fa780fa09799ed026217bfa8638a9c86a40b68bb28298df

Observation 0f2d7d33-8af8-420d-859e-abd5b78083df · outbound

This paper cites Water Resources Research , volume=.

PIER: Physics-Informed Environmental Retrieval for Time-Series Modeling Water Resources Research , volume=

Reference 4

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no resolver link, observed 2026-08-01T10:29:07.532375Z

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source=arxiv_source observed=2026-08-01T10:29:07.532375Z digest=sha256:ce03701f078dfdb55509fed8e0bcaa6c7269b2944e627961f9c476c18fc0660e

Observation f574b462-825d-4bf4-80ad-55fca1499226 · outbound

This paper cites Water Resources Research , volume=.

PIER: Physics-Informed Environmental Retrieval for Time-Series Modeling Water Resources Research , volume=

Reference 5

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no resolver link, observed 2026-08-01T10:29:07.537053Z

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source=arxiv_source observed=2026-08-01T10:29:07.537053Z digest=sha256:d3980fb84293a4373d3b071896c5cec90d3221366b079b269ecbf9b62c5ac1b2

Observation 234658e6-6639-4bed-875f-9782bb99bf56 · outbound

This paper cites Hydrology and Earth System Sciences , volume=.

PIER: Physics-Informed Environmental Retrieval for Time-Series Modeling Hydrology and Earth System Sciences , volume=

Reference 6

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no resolver link, observed 2026-08-01T10:29:07.545712Z

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source=arxiv_source observed=2026-08-01T10:29:07.545712Z digest=sha256:0f43c8432e2bc43dd9140c7ee3d45e2e44d441bc3e759efb46c099f28ee7cac2

Observation 43fc6188-76d9-47b5-b5a2-0258d7b318cf · outbound

This paper cites Neural computation , volume=.

PIER: Physics-Informed Environmental Retrieval for Time-Series Modeling Neural computation , volume=

Reference 7

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source=arxiv_source observed=2026-08-01T10:29:07.605219Z digest=sha256:35dc10a1b5b663b8d4f16304234c7f2de5b4c2f5183651428f9588f0f6d96109

Observation c74805a1-1f52-4a75-9962-b38ea60bb096 · outbound

This paper cites Advances in neural information processing systems , volume=.

PIER: Physics-Informed Environmental Retrieval for Time-Series Modeling Advances in neural information processing systems , volume=

Reference 8

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source=arxiv_source observed=2026-08-01T10:29:07.688434Z digest=sha256:fde726da9bb239ca2be979641b933b17d0f1e326969634f6de8f966551ebf9a3

Observation 820c481b-9390-4356-955c-f24b1dd2cbe0 · outbound

This paper cites Semi-Supervised Classification with Graph Convolutional Networks.

PIER: Physics-Informed Environmental Retrieval for Time-Series Modeling Semi-Supervised Classification with Graph Convolutional Networks

Reference 9

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source=arxiv_source observed=2026-08-01T10:29:07.781431Z digest=sha256:b1fd5b1e6cf62a970724a75228e22a91b9e5beb1effe2f5e7e4c2cef93fac751

Observation fe72b597-0e36-4dbb-83ac-a60102e861fb · outbound

This paper cites 2015 , institution=.

PIER: Physics-Informed Environmental Retrieval for Time-Series Modeling 2015 , institution=

Reference 10

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source=arxiv_source observed=2026-08-01T10:29:07.856592Z digest=sha256:1d3db884b02ef21291864189198757d357d836c3fdf8783d408656e5620b433d

Observation 631b151b-9620-4de9-932d-af221b170ac1 · outbound

This paper cites Philosophical Transactions of the Royal Society B: Biological Sciences , volume=.

PIER: Physics-Informed Environmental Retrieval for Time-Series Modeling Philosophical Transactions of the Royal Society B: Biological Sciences , volume=

Reference 11

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source=arxiv_source observed=2026-08-01T10:29:07.954275Z digest=sha256:aaf2e0b42458b3a040a4c9c8ee4c9c55b453c86fcbe1c3772f8f58a53e462f13

Observation d227345c-bff3-499d-a629-fcddd758ae0c · outbound

This paper cites Nature Climate Change , volume=.

PIER: Physics-Informed Environmental Retrieval for Time-Series Modeling Nature Climate Change , volume=

Reference 12

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source=arxiv_source observed=2026-08-01T10:29:08.102735Z digest=sha256:b0ed882a4fc968db96b3d765039f57048836fb9aed3bb254b86c4e1f3155569a

Observation 5d5f339d-d73d-48d5-ac20-7d855db1887e · outbound

This paper cites Hydrology and Earth System Sciences , volume=.

PIER: Physics-Informed Environmental Retrieval for Time-Series Modeling Hydrology and Earth System Sciences , volume=

Reference 13

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source=arxiv_source observed=2026-08-01T10:29:08.218595Z digest=sha256:51744b4812ecfd88e3d3319fc13dadd0affdb14e0abf55a8246a158f115b1dfa

Observation cb69e95d-a569-40c4-aaa7-6c3102a848df · outbound

This paper cites 2021 IEEE International Conference on Data Mining (ICDM) , pages=.

PIER: Physics-Informed Environmental Retrieval for Time-Series Modeling 2021 IEEE International Conference on Data Mining (ICDM) , pages=

Reference 14

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source=arxiv_source observed=2026-08-01T10:29:08.335667Z digest=sha256:ade2b39623528088cedbef5c9ca50ac95875a2564f1efa67e6d60f2b03018b47

Observation 1891b43a-ff2b-43fd-9eee-2d1259842557 · outbound

This paper cites Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences , volume=.

PIER: Physics-Informed Environmental Retrieval for Time-Series Modeling Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences , volume=

Reference 15

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source=arxiv_source observed=2026-08-01T10:29:08.453722Z digest=sha256:2ef42555e58c8d892d95b6c507036a1ff274a1120e088e4a158030bb93d815a3

Observation 46b67e64-b52e-43f3-9147-96157838978b · outbound

This paper cites Journal of Hydroinformatics , volume=.

PIER: Physics-Informed Environmental Retrieval for Time-Series Modeling Journal of Hydroinformatics , volume=

Reference 16

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source=arxiv_source observed=2026-08-01T10:29:08.607961Z digest=sha256:07ecd00a3945e84ca95105fca098a420ade917ed683deaf92f5ba8f6c4b72da0

Observation a3198d92-c067-4143-8aee-b006e191a422 · outbound

This paper cites Proceedings of the AAAI conference on artificial intelligence , volume=.

PIER: Physics-Informed Environmental Retrieval for Time-Series Modeling Proceedings of the AAAI conference on artificial intelligence , volume=

Reference 17

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source=arxiv_source observed=2026-08-01T10:29:08.766627Z digest=sha256:75aa9fcd24ec27b682e9d5f3fa4ac00af86bb4bec52cb525d3a9c218a9b474fe

Observation 86399eae-3bf4-4253-a56f-90a0e6d8827f · outbound

This paper cites Proceedings of the IEEE , volume=.

PIER: Physics-Informed Environmental Retrieval for Time-Series Modeling Proceedings of the IEEE , volume=

Reference 18

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source=arxiv_source observed=2026-08-01T10:29:08.848396Z digest=sha256:2ff9c953e6802f5011493c67a6943c22854b574256b2a7b84c3f5446e896a6a2

Observation 292781a5-238c-4332-b8f4-185e910d75df · outbound

This paper cites Science , volume=.

PIER: Physics-Informed Environmental Retrieval for Time-Series Modeling Science , volume=

Reference 19

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source=arxiv_source observed=2026-08-01T10:29:08.960594Z digest=sha256:5cc47ed550bafb25188daebeac39f2a54307440cd430f10da834f30e0e8b9145

Observation 66bcf025-3ee2-4419-899e-37d40c1859ea · outbound

This paper cites 2020 , institution=.

PIER: Physics-Informed Environmental Retrieval for Time-Series Modeling 2020 , institution=

Reference 20

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source=arxiv_source observed=2026-08-01T10:29:09.098734Z digest=sha256:28928dd812b8e6417703da418860a75c7900471c3fa667390ce4d8cd9bbfb6cb

Observation 395423c9-7903-4575-b584-b55d020f426e · outbound

This paper cites Proceedings of the 1st ACM SIGCAS Conference on Computing and Sustainable Societies , pages=.

PIER: Physics-Informed Environmental Retrieval for Time-Series Modeling Proceedings of the 1st ACM SIGCAS Conference on Computing and Sustainable Societies , pages=

Reference 21

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source=arxiv_source observed=2026-08-01T10:29:09.271742Z digest=sha256:7a5c345a6c0d8b4963c87476fc768e4dcacd08edf7a9498042781e44db6f4246

Observation d7b6c44d-6cf6-48b4-88fc-425c413159c8 · outbound

This paper cites Journal of Hydrology , volume=.

PIER: Physics-Informed Environmental Retrieval for Time-Series Modeling Journal of Hydrology , volume=

Reference 22

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source=arxiv_source observed=2026-08-01T10:29:09.435581Z digest=sha256:1ae1979aac74e3e5da0d5404bbee69de2ed6bc966a8d29ee7fc9aaec5f27ce5c

Observation 5eb45ce1-7aa9-4e1f-ad1c-c24b01835863 · outbound

This paper cites Water Resources Research , volume=.

PIER: Physics-Informed Environmental Retrieval for Time-Series Modeling Water Resources Research , volume=

Reference 23

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source=arxiv_source observed=2026-08-01T10:29:09.610604Z digest=sha256:f5f0771af0802853dca0d1c7163135e0aff8ec9265812aac4020110fc3dbef76

Observation 50746f74-2fca-4593-ae24-b0f4b311702c · outbound

This paper cites Water Resources Research , volume=.

PIER: Physics-Informed Environmental Retrieval for Time-Series Modeling Water Resources Research , volume=

Reference 24

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source=arxiv_source observed=2026-08-01T10:29:09.724312Z digest=sha256:64af39d9ab0ec7b5cb75a3e8d91705d5e78bba74ab0f4e17237c175a2081fc66

Observation 5465421c-217b-404e-a8b7-736263dd4413 · outbound

This paper cites Environmental Modelling & Software , volume=.

PIER: Physics-Informed Environmental Retrieval for Time-Series Modeling Environmental Modelling & Software , volume=

Reference 25

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source=arxiv_source observed=2026-08-01T10:29:09.857757Z digest=sha256:4f27b6b07db47c2f1e19ecd0758a03c4bee9ac32d91a91a6226c0ae521fbc57a

Observation 5a4d875f-c791-4616-b705-c5199f25cf27 · outbound

This paper cites Sensors , volume=.

PIER: Physics-Informed Environmental Retrieval for Time-Series Modeling Sensors , volume=

Reference 26

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no resolver link, observed 2026-08-01T10:29:09.947131Z

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source=arxiv_source observed=2026-08-01T10:29:09.947131Z digest=sha256:595281568101991595f49af7e04a0d3e08f16dcc1ad33bb5e8494860e522cf5d

Observation 7787d9d2-1279-4222-b3be-fd5d448e0647 · outbound

This paper cites Advances in neural information processing systems , volume=.

PIER: Physics-Informed Environmental Retrieval for Time-Series Modeling Advances in neural information processing systems , volume=

Reference 27

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source=arxiv_source observed=2026-08-01T10:29:10.113559Z digest=sha256:85cf295f2dcd9c9cb77a45365da352feefa51f34b9813758dd6cb20eba8eb8e4

Observation 03214293-1089-443f-a881-89f6ac6e106b · outbound

This paper cites IEEE transactions on intelligent transportation systems , volume=.

PIER: Physics-Informed Environmental Retrieval for Time-Series Modeling IEEE transactions on intelligent transportation systems , volume=

Reference 28

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source=arxiv_source observed=2026-08-01T10:29:10.276054Z digest=sha256:8fb0571c6b0cab8eb5ec5e101ee8e976ee204b981a0eaaed488a4745a2d1ca2c

Observation d780ba82-aca5-441c-866b-fb07dccc0bfd · outbound

This paper cites The world wide web conference , pages=.

PIER: Physics-Informed Environmental Retrieval for Time-Series Modeling The world wide web conference , pages=

Reference 29

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no resolver link, observed 2026-08-01T10:29:10.385686Z

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source=arxiv_source observed=2026-08-01T10:29:10.385686Z digest=sha256:ec26f6f20954f10168258770f39dee539e7a153ba7cb03ad9c2ecc5e843a37d2

Observation f824c97f-c4a9-428a-b89e-6a93e886bfc6 · outbound

This paper cites ISPRS Journal of Photogrammetry and Remote Sensing , volume=.

PIER: Physics-Informed Environmental Retrieval for Time-Series Modeling ISPRS Journal of Photogrammetry and Remote Sensing , volume=

Reference 30

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no resolver link, observed 2026-08-01T10:29:10.509110Z

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source=arxiv_source observed=2026-08-01T10:29:10.509110Z digest=sha256:1f2c37b99c336a4fa3005b3f211edd4fefe4185ddc0e04b3572bda5ac9891be0

Observation 7836206b-2263-4f1a-91fa-6c50b9a0dc62 · outbound

This paper cites Proceedings of the AAAI conference on artificial intelligence , volume=.

PIER: Physics-Informed Environmental Retrieval for Time-Series Modeling Proceedings of the AAAI conference on artificial intelligence , volume=

Reference 31

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no resolver link, observed 2026-08-01T10:29:10.611821Z

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source=arxiv_source observed=2026-08-01T10:29:10.611821Z digest=sha256:2dbbcabf0484877a218a1821216b5fcb71d74b0c28e477b05e584445abd7966a

Observation 1447ec77-de95-45ed-afd3-68fd888114bc · outbound

This paper cites IEEE Transactions on Geoscience and Remote Sensing , volume=.

PIER: Physics-Informed Environmental Retrieval for Time-Series Modeling IEEE Transactions on Geoscience and Remote Sensing , volume=

Reference 32

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source=arxiv_source observed=2026-08-01T10:29:10.800631Z digest=sha256:839b7a9ca8009bd7229955b9f3fbb4cdbe884315e4a6a5737b21c6edb2e25654

Observation 3b339d3e-2f9d-492a-854c-2dcd6cf9f132 · outbound

This paper cites Journal of Hydrology , volume=.

PIER: Physics-Informed Environmental Retrieval for Time-Series Modeling Journal of Hydrology , volume=

Reference 33

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source=arxiv_source observed=2026-08-01T10:29:10.938796Z digest=sha256:01d0fa58aa1a96701cd1cf49cc89fd59f8683ce20106bd044ca3e16b3eb0a5d5

Observation f2eda81d-743a-487f-af43-e2da090f7853 · outbound

This paper cites ACM Computing Surveys (CSUR) , volume=.

PIER: Physics-Informed Environmental Retrieval for Time-Series Modeling ACM Computing Surveys (CSUR) , volume=

Reference 34

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no resolver link, observed 2026-08-01T10:29:11.035912Z

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source=arxiv_source observed=2026-08-01T10:29:11.035912Z digest=sha256:f29114848a52a06d1163cca7b3a433b96b196b333479e1085fe1e98e2b3814fb

Observation 946f5154-b64b-4af5-8121-51a53b216cd6 · outbound

This paper cites Knowledge-guided Machine Learning: Current Trends and Future Prospects.

PIER: Physics-Informed Environmental Retrieval for Time-Series Modeling Knowledge-guided Machine Learning: Current Trends and Future Prospects

Reference 35

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source=arxiv_source observed=2026-08-01T10:29:11.147759Z digest=sha256:28df3759419dfbf35c46a69260f5319ae41876d2812536b8b6a7e9aae566b75f

Observation ffd8d0b7-c7a1-4e13-8242-f5799dce83f8 · outbound

This paper cites Water Resources Research , volume=.

PIER: Physics-Informed Environmental Retrieval for Time-Series Modeling Water Resources Research , volume=

Reference 36

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source=arxiv_source observed=2026-08-01T10:29:11.265764Z digest=sha256:f775ba5c86581d3502c520e84a5a767c8e289eb740ea5dc0445cf4a727c51ad7

Observation 6e89e427-b98a-4da7-b23d-96614dff4add · outbound

This paper cites Graph WaveNet for Deep Spatial-Temporal Graph Modeling.

PIER: Physics-Informed Environmental Retrieval for Time-Series Modeling Graph WaveNet for Deep Spatial-Temporal Graph Modeling

Reference 37

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source=arxiv_source observed=2026-08-01T10:29:11.391621Z digest=sha256:e18d32b6685040dfe9bb6c0812d772764c2dcee79922bb3a0a92ef96863de4da

Observation 0f5f5d70-ded2-4257-91c9-8c087bb353da · outbound

This paper cites IEEE transactions on intelligent transportation systems , volume=.

PIER: Physics-Informed Environmental Retrieval for Time-Series Modeling IEEE transactions on intelligent transportation systems , volume=

Reference 38

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source=arxiv_source observed=2026-08-01T10:29:11.471631Z digest=sha256:4307cddd04346bf96afce4bd81aa709bb5a7c8029780f27b28162d3352be33ad

Observation f5671ebc-8c83-44f7-87f6-b1526ef40255 · outbound

This paper cites 2022 IEEE 5th International Conference on Big Data and Artificial Intelligence (BDAI) , pages=.

PIER: Physics-Informed Environmental Retrieval for Time-Series Modeling 2022 IEEE 5th International Conference on Big Data and Artificial Intelligence (BDAI) , pages=

Reference 39

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This paper cites AGU Fall Meeting Abstracts , volume=.

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This paper cites Proceedings of the 2024 SIAM International Conference on Data Mining (SDM) , pages=.

PIER: Physics-Informed Environmental Retrieval for Time-Series Modeling Proceedings of the 2024 SIAM International Conference on Data Mining (SDM) , pages=

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Observation 53b79481-555f-465e-be46-1d5ffac14164 · outbound

This paper cites IEEE transactions on knowledge and data engineering , volume=.

PIER: Physics-Informed Environmental Retrieval for Time-Series Modeling IEEE transactions on knowledge and data engineering , volume=

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Observation 1e184a73-c055-45f6-9c6a-baf8b6890b38 · outbound

This paper cites Knowledge Guided Encoder-Decoder Framework: Integrating Multiple Physical Models for Agricultural Ecosystem Modeling.

PIER: Physics-Informed Environmental Retrieval for Time-Series Modeling Knowledge Guided Encoder-Decoder Framework: Integrating Multiple Physical Models for Agricultural Ecosystem Modeling

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This paper cites Environmental Data Science , volume=.

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Reference 44

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Observation 85b03bcb-fc51-4117-8213-fc184167bf12 · outbound

This paper cites Proceedings of the AAAI Conference on Artificial Intelligence , volume=.

PIER: Physics-Informed Environmental Retrieval for Time-Series Modeling Proceedings of the AAAI Conference on Artificial Intelligence , volume=

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Observation 78312b5a-32f7-4909-bf90-c8e76e2a41ad · outbound

This paper cites ACM Computing Surveys , volume=.

PIER: Physics-Informed Environmental Retrieval for Time-Series Modeling ACM Computing Surveys , volume=

Reference 46

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Observation df0db757-7d85-4aaf-81cd-96aa096dff93 · outbound

This paper cites Proceedings of the AAAI Conference on Artificial Intelligence , volume=.

PIER: Physics-Informed Environmental Retrieval for Time-Series Modeling Proceedings of the AAAI Conference on Artificial Intelligence , volume=

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Observation 528123ae-cbd4-4739-bc94-e0693fa02669 · outbound

This paper cites International Conference on Machine Learning , pages=.

PIER: Physics-Informed Environmental Retrieval for Time-Series Modeling International Conference on Machine Learning , pages=

Reference 48

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Observation 23759fbe-84d0-48a4-8369-9c2d4825767b · outbound

This paper cites Science , volume=.

PIER: Physics-Informed Environmental Retrieval for Time-Series Modeling Science , volume=

Reference 49

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Observation 2525f5bb-ebd0-4610-abe7-86c0e9553eff · outbound

This paper cites Science , volume=.

PIER: Physics-Informed Environmental Retrieval for Time-Series Modeling Science , volume=

Reference 50

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Observation 08746882-2621-4dc3-bd15-a9f1e80859cd · outbound

This paper cites Nature , volume=.

PIER: Physics-Informed Environmental Retrieval for Time-Series Modeling Nature , volume=

Reference 51

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Observation c72a0898-d429-45c0-90aa-e8c9c76a559b · outbound

This paper cites Limnology and Oceanography , volume=.

PIER: Physics-Informed Environmental Retrieval for Time-Series Modeling Limnology and Oceanography , volume=

Reference 52

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Observation 0b6e2117-7446-45c3-aa6c-204c67cb646d · outbound

This paper cites ACM Transactions on Intelligent Systems and Technology (TIST) , volume=.

PIER: Physics-Informed Environmental Retrieval for Time-Series Modeling ACM Transactions on Intelligent Systems and Technology (TIST) , volume=

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Observation f46f788f-495a-4355-80df-cb1fb6e9d85a · outbound

This paper cites Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition , pages=.

PIER: Physics-Informed Environmental Retrieval for Time-Series Modeling Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition , pages=

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Observation e174d375-8989-4825-85c7-1d5c3f462abf · outbound

This paper cites Nature Reviews Earth & Environment , volume=.

PIER: Physics-Informed Environmental Retrieval for Time-Series Modeling Nature Reviews Earth & Environment , volume=

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Observation 5326a00a-5b2b-43c6-98ee-cbed23d1dcaa · outbound

This paper cites A Fine-Grained Analysis on Distribution Shift.

PIER: Physics-Informed Environmental Retrieval for Time-Series Modeling A Fine-Grained Analysis on Distribution Shift

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Observation 5f5384c5-b2d9-4788-af93-2082784b67d1 · outbound

This paper cites Advances in Neural Information Processing Systems , volume=.

PIER: Physics-Informed Environmental Retrieval for Time-Series Modeling Advances in Neural Information Processing Systems , volume=

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Observation b108f8b8-c686-448a-a75f-73f1b3871001 · outbound

This paper cites Proceedings of the IEEE/CVF conference on computer vision and pattern recognition , pages=.

PIER: Physics-Informed Environmental Retrieval for Time-Series Modeling Proceedings of the IEEE/CVF conference on computer vision and pattern recognition , pages=

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Observation af29664d-1336-427f-b13d-821ffd379ee2 · outbound

This paper cites IEEE transactions on pattern analysis and machine intelligence , volume=.

PIER: Physics-Informed Environmental Retrieval for Time-Series Modeling IEEE transactions on pattern analysis and machine intelligence , volume=

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Observation e9be261e-1862-4c19-a517-2b9db6974ef8 · outbound

This paper cites Artificial Intelligence Review , volume=.

PIER: Physics-Informed Environmental Retrieval for Time-Series Modeling Artificial Intelligence Review , volume=

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Observation 8e6d2dab-f6fa-4774-9c7e-e8dfb768df6f · outbound

This paper cites Domain Generalization with MixStyle.

PIER: Physics-Informed Environmental Retrieval for Time-Series Modeling Domain Generalization with MixStyle

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Observation 2c222b2d-8f34-42e8-a883-b11c2ae96d7e · outbound

This paper cites Proceedings of the AAAI conference on artificial intelligence , volume=.

PIER: Physics-Informed Environmental Retrieval for Time-Series Modeling Proceedings of the AAAI conference on artificial intelligence , volume=

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Observation ca0b4825-ab86-4865-ac0a-6cd7450410e9 · outbound

This paper cites Journal of machine learning research , volume=.

PIER: Physics-Informed Environmental Retrieval for Time-Series Modeling Journal of machine learning research , volume=

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Observation 7e374402-cdff-4aab-96c8-c15b70d62013 · outbound

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Observation 6b3b8101-c30d-4bad-b5b7-27cfd5653ad2 · outbound

This paper cites Agricultural Economics , volume=.

PIER: Physics-Informed Environmental Retrieval for Time-Series Modeling Agricultural Economics , volume=

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Observation 26a43bc2-7801-4789-bc1a-7bba54c1b2e3 · outbound

This paper cites Geoscientific Model Development , volume=.

PIER: Physics-Informed Environmental Retrieval for Time-Series Modeling Geoscientific Model Development , volume=

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This paper cites Proceedings of the 2021 SIAM International Conference on Data Mining (SDM) , pages=.

PIER: Physics-Informed Environmental Retrieval for Time-Series Modeling Proceedings of the 2021 SIAM International Conference on Data Mining (SDM) , pages=

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This paper cites 2021 IEEE International Conference on Data Mining (ICDM) , pages=.

PIER: Physics-Informed Environmental Retrieval for Time-Series Modeling 2021 IEEE International Conference on Data Mining (ICDM) , pages=

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Observation 6c2cd185-336a-4b2a-bcc5-65329613e616 · outbound

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PIER: Physics-Informed Environmental Retrieval for Time-Series Modeling Water Resources Research , volume=

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Observation bf8eab20-15f6-4768-b707-60a8e3e38c2a · outbound

This paper cites Deep Learning for the Earth Sciences: A Comprehensive Approach to Remote Sensing, Climate Science, and Geosciences , pages=.

PIER: Physics-Informed Environmental Retrieval for Time-Series Modeling Deep Learning for the Earth Sciences: A Comprehensive Approach to Remote Sensing, Climate Science, and Geosciences , pages=

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Observation ee0a5640-965e-4f0c-bda4-e6fde5f7590d · outbound

This paper cites International conference on machine learning , pages=.

PIER: Physics-Informed Environmental Retrieval for Time-Series Modeling International conference on machine learning , pages=

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Observation cb9136e5-49c9-4c57-8ebe-93b7331c1669 · outbound

This paper cites More is Better: Deep Domain Adaptation with Multiple Sources.

PIER: Physics-Informed Environmental Retrieval for Time-Series Modeling More is Better: Deep Domain Adaptation with Multiple Sources

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Observation 02e0f5e4-be6d-4a93-b54e-e21c3670c109 · outbound

This paper cites International Conference on Machine Learning , pages=.

PIER: Physics-Informed Environmental Retrieval for Time-Series Modeling International Conference on Machine Learning , pages=

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Observation acd99e1c-bfcd-4b27-902e-005b0f12dbcc · outbound

This paper cites Proceedings of the AAAI conference on artificial intelligence , volume=.

PIER: Physics-Informed Environmental Retrieval for Time-Series Modeling Proceedings of the AAAI conference on artificial intelligence , volume=

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Observation f7f79445-b9b0-4d66-9069-e64221060bdf · outbound

This paper cites TimeMixer: Decomposable Multiscale Mixing for Time Series Forecasting.

PIER: Physics-Informed Environmental Retrieval for Time-Series Modeling TimeMixer: Decomposable Multiscale Mixing for Time Series Forecasting

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Observation bafa68c1-a1e0-43d2-8a75-e315afad4111 · outbound

This paper cites TimesNet: Temporal 2D-Variation Modeling for General Time Series Analysis.

PIER: Physics-Informed Environmental Retrieval for Time-Series Modeling TimesNet: Temporal 2D-Variation Modeling for General Time Series Analysis

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Observation 80f4d2af-de87-4ebe-afff-538ddcb651fc · outbound

This paper cites International conference on machine learning , pages=.

PIER: Physics-Informed Environmental Retrieval for Time-Series Modeling International conference on machine learning , pages=

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Observation 8dd3c592-57b7-4e21-82bc-782835508e10 · outbound

This paper cites arXiv preprint arXiv:2509.14563 , year=.

PIER: Physics-Informed Environmental Retrieval for Time-Series Modeling arXiv preprint arXiv:2509.14563 , year=

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Observation 67d8b9b2-df8e-47a1-a584-c543744a6431 · outbound

This paper cites Retrieval Augmented Time Series Forecasting.

PIER: Physics-Informed Environmental Retrieval for Time-Series Modeling Retrieval Augmented Time Series Forecasting

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PIER: Physics-Informed Environmental Retrieval for Time-Series Modeling Proceedings of the AAAI Conference on Artificial Intelligence , volume=

Reference 80

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PIER: Physics-Informed Environmental Retrieval for Time-Series Modeling 2025 , booktitle=

Reference 81

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This paper cites RAG and RAU: A Survey on Retrieval-Augmented Language Model in Natural Language Processing.

PIER: Physics-Informed Environmental Retrieval for Time-Series Modeling RAG and RAU: A Survey on Retrieval-Augmented Language Model in Natural Language Processing

Reference 82

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This paper cites A Comprehensive Survey of Retrieval-Augmented Generation (RAG): Evolution, Current Landscape and Future Directions.

PIER: Physics-Informed Environmental Retrieval for Time-Series Modeling A Comprehensive Survey of Retrieval-Augmented Generation (RAG): Evolution, Current Landscape and Future Directions

Reference 83

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PIER: Physics-Informed Environmental Retrieval for Time-Series Modeling Limnology and Oceanography , volume=

Reference 84

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PIER: Physics-Informed Environmental Retrieval for Time-Series Modeling Limnology and Oceanography: Methods , volume=

Reference 85

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PIER: Physics-Informed Environmental Retrieval for Time-Series Modeling Geoscientific Model Development , year=

Reference 86

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PIER: Physics-Informed Environmental Retrieval for Time-Series Modeling Limnology and Oceanography , volume=

Reference 87

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Reference 88

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PIER: Physics-Informed Environmental Retrieval for Time-Series Modeling 2024 IEEE International Conference on Data Mining (ICDM) , pages=

Reference 89

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Observation c0b9a40e-cbb2-4d4b-a40c-7fcd13fbe27e · outbound

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PIER: Physics-Informed Environmental Retrieval for Time-Series Modeling Graph Retrieval-Augmented Generation: A Survey

Reference 90

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PIER: Physics-Informed Environmental Retrieval for Time-Series Modeling EDIS , volume=

Reference 91

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PIER: Physics-Informed Environmental Retrieval for Time-Series Modeling Limnology and Oceanography , volume=

Reference 92

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PIER: Physics-Informed Environmental Retrieval for Time-Series Modeling Transactions of the American Fisheries Society , volume=

Reference 93

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PIER: Physics-Informed Environmental Retrieval for Time-Series Modeling Scientific Data , volume=

Reference 94

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PIER: Physics-Informed Environmental Retrieval for Time-Series Modeling Environmental Modelling & Software , volume=

Reference 95

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PIER: Physics-Informed Environmental Retrieval for Time-Series Modeling The Twelfth International Conference on Learning Representations , year=

Reference 96

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PIER: Physics-Informed Environmental Retrieval for Time-Series Modeling TSMixer: An All-MLP Architecture for Time Series Forecasting

Reference 97

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Reference 98

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Reference 99

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PIER: Physics-Informed Environmental Retrieval for Time-Series Modeling Proceedings of the 2019 SIAM international conference on data mining , pages=

Reference 100

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Pith citing papers

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