Paper Citation Record · LEDGER

Foundation Model for Lossy Compression of Spatiotemporal Scientific Data

As of 15 August 2026, this Paper Citation Record lists 25 of 25 outbound references and 1 inbound Pith citation observation for arXiv:2412.17184.

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

pith.paper-citation-record.v1
2412.17184 v1

Coverage vector

measured 25 of 25 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T05:46:52.899504Z

measured 26 of 26 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 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T20:42:42.282353Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T20:42:44.279607Z

Reference resolution

25 of 25 outbound references displayed

verified exact0
verified fuzzy16
unresolved8
parse uncertain0
malformed identifier0
metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 8506b378-c9fb-44ef-a266-ff9abf757533 · outbound

This paper cites computer.org/vis2004contest/data.html.

Foundation Model for Lossy Compression of Spatiotemporal Scientific Data computer.org/vis2004contest/data.html

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:46:53.199958Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 09510bde-5c70-408b-9571-ecc56e1513b4 · outbound

This paper cites GPT-4 Technical Report.

Foundation Model for Lossy Compression of Spatiotemporal Scientific Data GPT-4 Technical Report

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-11T05:46:52.802123Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 58ff9817-8e99-4af0-af44-01fe83ffa0d2 · outbound

This paper cites SIAM Journal on Scientific Computing 41(2), A1278–A1303 (2019).

Foundation Model for Lossy Compression of Spatiotemporal Scientific Data SIAM Journal on Scientific Computing 41(2), A1278–A1303 (2019)

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:46:53.188571Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 49dde5e0-b6b5-42e1-a281-bf93207140f7 · outbound

This paper cites Scientific Reports 14(1), 13850 (2024).

Foundation Model for Lossy Compression of Spatiotemporal Scientific Data Scientific Reports 14(1), 13850 (2024)

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:46:53.177285Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 04cade95-318c-4c54-b5f3-dfc107210496 · outbound

This paper cites Variational image compression with a scale hyperprior.

Foundation Model for Lossy Compression of Spatiotemporal Scientific Data Variational image compression with a scale hyperprior

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-11T05:46:52.817035Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 00c0d0b0-763d-400a-b297-85acde4d7f22 · outbound

This paper cites In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition.

Foundation Model for Lossy Compression of Spatiotemporal Scientific Data In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:46:53.166191Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 17514122-d1bd-4626-8d15-4b55d8cd9cf9 · outbound

This paper cites an unresolved cited work.

Foundation Model for Lossy Compression of Spatiotemporal Scientific Data Unresolved cited work

Reference 7

Resolution: unresolved; raw_fallback, observed 2026-08-11T05:46:53.154189Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 56f0d3eb-0204-4b70-a58e-6c3d42cbd60a · outbound

This paper cites Journal of Advances in Modeling Earth Systems11(7), 2089–2129 (2019).

Foundation Model for Lossy Compression of Spatiotemporal Scientific Data Journal of Advances in Modeling Earth Systems11(7), 2089–2129 (2019)

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:46:53.143242Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 2f0b6449-4418-4df7-9892-e369fd1f9f6b · outbound

This paper cites In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition.

Foundation Model for Lossy Compression of Spatiotemporal Scientific Data In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:46:53.132230Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation c3010ee5-cc75-4ebd-bc96-18eb13f1338e · outbound

This paper cites Quarterly Journal of the Royal Meteorological Society146(730), 1999–2049 (2020) 12 X.

Foundation Model for Lossy Compression of Spatiotemporal Scientific Data Quarterly Journal of the Royal Meteorological Society146(730), 1999–2049 (2020) 12 X

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:46:53.121145Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 9bc89c60-b3b3-4c36-8d0e-2a5c49faffee · outbound

This paper cites In: Proceedings of the 27th acm international conference on multimedia.

Foundation Model for Lossy Compression of Spatiotemporal Scientific Data In: Proceedings of the 27th acm international conference on multimedia

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:46:53.109665Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation b2743538-dadd-4f7f-877a-8c82b1f5ae05 · outbound

This paper cites In: Proceedings of the IEEE/CVF International Conference on Computer Vision.

Foundation Model for Lossy Compression of Spatiotemporal Scientific Data In: Proceedings of the IEEE/CVF International Conference on Computer Vision

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-11T05:46:52.846843Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 60b9f071-2de3-4ac9-bfa5-1195dda30463 · outbound

This paper cites Machine Learning Techniques for Data Reduction of Climate Applications.

Foundation Model for Lossy Compression of Spatiotemporal Scientific Data Machine Learning Techniques for Data Reduction of Climate Applications

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-11T05:46:52.850926Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2e5a87d5-23c0-42d4-9c4f-7b76cf345e0e · outbound

This paper cites Attention Based Machine Learning Methods for Data Reduction with Guaranteed Error Bounds.

Foundation Model for Lossy Compression of Spatiotemporal Scientific Data Attention Based Machine Learning Methods for Data Reduction with Guaranteed Error Bounds

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-11T05:46:52.855329Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eea20bbe-c54d-4a44-a784-3ac9b80b6aa9 · outbound

This paper cites IEEE Transactions on Big Data9(2), 485– 498 (2022).

Foundation Model for Lossy Compression of Spatiotemporal Scientific Data IEEE Transactions on Big Data9(2), 485– 498 (2022)

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:46:53.091976Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation d35c3792-c708-4935-8a8a-b0229a07de54 · outbound

This paper cites SRN-SZ: Deep Leaning-Based Scientific Error-bounded Lossy Compression with Super-resolution Neural Networks.

Foundation Model for Lossy Compression of Spatiotemporal Scientific Data SRN-SZ: Deep Leaning-Based Scientific Error-bounded Lossy Compression with Super-resolution Neural Networks

Reference 16

Resolution: metadata mismatch; local_arxiv, observed 2026-08-11T05:46:52.937606Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 2f28ffb7-6a76-4282-b8fb-035f4713c671 · outbound

This paper cites In: 2021 IEEE International Conference on Cluster Computing (CLUSTER).

Foundation Model for Lossy Compression of Spatiotemporal Scientific Data In: 2021 IEEE International Conference on Cluster Computing (CLUSTER)

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:46:53.080815Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 54f1269e-f3d4-4aee-8794-133f2175a34a · outbound

This paper cites In: Pro- ceedings of the 37th International Conference on Supercomputing.

Foundation Model for Lossy Compression of Spatiotemporal Scientific Data In: Pro- ceedings of the 37th International Conference on Supercomputing

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:46:53.069607Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 61a300b6-373e-43e6-9dd5-773d5c64f98d · outbound

This paper cites In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition.

Foundation Model for Lossy Compression of Spatiotemporal Scientific Data In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-11T05:46:52.876379Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 501ea531-5f27-4420-976f-53530e04b16a · outbound

This paper cites Solar Physics298(1), 4 (2023).

Foundation Model for Lossy Compression of Spatiotemporal Scientific Data Solar Physics298(1), 4 (2023)

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:46:53.052204Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 5fa243ee-2d2e-4029-9e06-313d41a328fc · outbound

This paper cites Advances in neural information processing systems 31 (2018).

Foundation Model for Lossy Compression of Spatiotemporal Scientific Data Advances in neural information processing systems 31 (2018)

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:46:53.039955Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation e0572436-1ffd-42a0-871c-2576a3425209 · outbound

This paper cites In: 2012 Proceedings of the 20th European Signal Processing Conference (EUSIPCO).

Foundation Model for Lossy Compression of Spatiotemporal Scientific Data In: 2012 Proceedings of the 20th European Signal Processing Conference (EUSIPCO)

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:46:53.028962Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation b3889930-c858-4372-890a-caa8211acda7 · outbound

This paper cites IEEE Transactions on Information Theory 27(1), 12–23 (1981).

Foundation Model for Lossy Compression of Spatiotemporal Scientific Data IEEE Transactions on Information Theory 27(1), 12–23 (1981)

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:46:53.018320Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 6664101b-e092-4495-8039-f0a227aed95e · outbound

This paper cites an unresolved cited work.

Foundation Model for Lossy Compression of Spatiotemporal Scientific Data Unresolved cited work

Reference 24

Resolution: unresolved; raw_fallback, observed 2026-08-11T05:46:53.007264Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 0aa86fad-07b8-4696-b94c-f3e8a6b452b1 · outbound

This paper cites Combustion and Flame158(9), 1727–1741 (2011).

Foundation Model for Lossy Compression of Spatiotemporal Scientific Data Combustion and Flame158(9), 1727–1741 (2011)

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:46:52.996383Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Pith citing papers

Observation af173ac2-79f6-41b3-9b43-597d0a4bef2c · inbound

Generative Latent Diffusion for Efficient Spatiotemporal Data Reduction cites this paper.

Generative Latent Diffusion for Efficient Spatiotemporal Data Reduction Foundation Model for Lossy Compression of Spatiotemporal Scientific Data

Reference 25

Resolution: verified exact; local_arxiv, observed 2026-08-06T20:42:44.320311Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.