Pith. sign in

Paper Citation Record · LEDGER

FTimeXer: Frequency-aware Time-series Transformer with Exogenous variables for Robust Carbon Footprint Forecasting

As of 10 August 2026, this Paper Citation Record lists 28 of 28 outbound references and 1 inbound Pith citation observation for arXiv:2604.02347.

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

pith.paper-citation-record.v1
2604.02347 v1

Coverage vector

measured 28 of 28 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-15T22:18:03.436478Z

measured 29 of 29 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-11T19:41:55.651993Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

28 of 28 outbound references displayed

  • verified exact0
  • verified fuzzy28
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation ce6575ae-6861-47a3-b1f6-89d1d09d7bbc · outbound

This paper cites Climate change 2023: synthesis report. contribution of working groups i, ii and iii to the sixth assessment report of the intergovernmental panel on climate change.

FTimeXer: Frequency-aware Time-series Transformer with Exogenous variables for Robust Carbon Footprint Forecasting Climate change 2023: synthesis report. contribution of working groups i, ii and iii to the sixth assessment report of the intergovernmental panel on climate change

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T22:20:23.758296Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-15T22:18:03.436478Z digest=sha256:c2bd7a75f69d2e6c31fa952ea51905949b3d5272853de25708465bd151171c22

Observation 1ba4b828-f388-41de-bff3-6aa559426cc6 · outbound

This paper cites Regulation (eu) 2023/956 of the european parliament and of the council of 10 may 2023 establishing a carbon border adjustment mechanism.

FTimeXer: Frequency-aware Time-series Transformer with Exogenous variables for Robust Carbon Footprint Forecasting Regulation (eu) 2023/956 of the european parliament and of the council of 10 may 2023 establishing a carbon border adjustment mechanism

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T22:20:23.644499Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-15T22:18:03.436478Z digest=sha256:8027ece1ff436960e1e6e8b192d0bd8fcf1d8fd9df672dcbd3e54032f05c66b1

Observation 9f9cfb15-a883-46b9-a3af-52373d5b8fa2 · outbound

This paper cites Ghg protocol scope 2 guidance.

FTimeXer: Frequency-aware Time-series Transformer with Exogenous variables for Robust Carbon Footprint Forecasting Ghg protocol scope 2 guidance

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T22:20:23.647948Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-15T22:18:03.436478Z digest=sha256:0270e98e4c455257ec66b7c0af9ed22a17faafadfbb8a62e52f05c58d144097f

Observation 4128001e-151d-47a4-bf9c-e86e78d7c013 · outbound

This paper cites Dacf: day-ahead carbon intensity forecasting of power grids using machine learning.

FTimeXer: Frequency-aware Time-series Transformer with Exogenous variables for Robust Carbon Footprint Forecasting Dacf: day-ahead carbon intensity forecasting of power grids using machine learning

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T22:20:23.731486Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-15T22:18:03.436478Z digest=sha256:b9f68e4bed2458bd5d7286102a3f54be94a61274a71c3e937cc82e2ce236fd0d

Observation 2737f971-78bb-44fe-9e11-de2102d02939 · outbound

This paper cites Application of a combined prediction method based on temporal decomposition and convolutional neural networks for the prediction of consumption in polysilicon reduction furnaces.

FTimeXer: Frequency-aware Time-series Transformer with Exogenous variables for Robust Carbon Footprint Forecasting Application of a combined prediction method based on temporal decomposition and convolutional neural networks for the prediction of consumption in polysilicon reduction furnaces

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T22:20:23.736865Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-15T22:18:03.436478Z digest=sha256:5e7e886e6b0cd7e3a91e70dd228c171e8897092339117b3c832723d565cb937d

Observation c3be9353-d7b5-4905-a87b-e166ce7fcdfe · outbound

This paper cites Modeling and random search optimization for the polysilicon cvd reactor.

FTimeXer: Frequency-aware Time-series Transformer with Exogenous variables for Robust Carbon Footprint Forecasting Modeling and random search optimization for the polysilicon cvd reactor

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T22:20:23.740681Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-15T22:18:03.436478Z digest=sha256:80198e2773316e8e5eca7850e4abe151fc0dd087945727c8cb4221aee3157599

Observation 956220b5-d815-43d5-99fc-bf991585a3d8 · outbound

This paper cites Optimized scheduling model considering the demand response and sequential requirements of polysilicon production.

FTimeXer: Frequency-aware Time-series Transformer with Exogenous variables for Robust Carbon Footprint Forecasting Optimized scheduling model considering the demand response and sequential requirements of polysilicon production

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T22:20:23.682044Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-15T22:18:03.436478Z digest=sha256:b741e4e4c7f7c62889427b89a62deddcfd8a37e1cf31bf427fc358803ca49d33

Observation 5b01c3fb-8ed4-449b-bda8-ae2ca4567ea2 · outbound

This paper cites Frequency adaptive normalization for non-stationary time series forecasting.

FTimeXer: Frequency-aware Time-series Transformer with Exogenous variables for Robust Carbon Footprint Forecasting Frequency adaptive normalization for non-stationary time series forecasting

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T22:20:23.691258Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-15T22:18:03.436478Z digest=sha256:764d950f40d3b9ee6293184112b13609c3fa951db888cc3238f409bf22f18e75

Observation 0a999644-125f-4dd0-825b-55ebf7d5d1fe · outbound

This paper cites Timexer: Empowering transformers for time series fore- casting with exogenous variables.

FTimeXer: Frequency-aware Time-series Transformer with Exogenous variables for Robust Carbon Footprint Forecasting Timexer: Empowering transformers for time series fore- casting with exogenous variables

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T22:20:23.672651Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-15T22:18:03.436478Z digest=sha256:df36ef0dd857c595f92e398b09fc8116e6e24b18f7aafe8806ae3b4a76d9945d

Observation 9f10097a-ac8e-455e-a6f6-8c0752b9b65b · outbound

This paper cites Neural basis expansion analysis with exogenous variables: Forecasting electricity prices with NBEATSx.

FTimeXer: Frequency-aware Time-series Transformer with Exogenous variables for Robust Carbon Footprint Forecasting Neural basis expansion analysis with exogenous variables: Forecasting electricity prices with NBEATSx

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T22:20:23.664295Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-15T22:18:03.436478Z digest=sha256:9342d3216ee98631618e832f42b5e696386cdb0b449a174f18ba18cade97efb6

Observation cc3f1a05-9195-438e-a842-98a895f23b8d · outbound

This paper cites Compat- ible transformer for irregularly sampled multivariate time series.

FTimeXer: Frequency-aware Time-series Transformer with Exogenous variables for Robust Carbon Footprint Forecasting Compat- ible transformer for irregularly sampled multivariate time series

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T22:20:23.744858Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-15T22:18:03.436478Z digest=sha256:fc01992dc02cb36e82fbebc509cb7414978dea71e245b58f7f470ea1d6faf95b

Observation b4fef8e4-0801-4be9-ba1b-73c231179f47 · outbound

This paper cites Temporal fusion transform- ers for interpretable multi-horizon time series forecasting.

FTimeXer: Frequency-aware Time-series Transformer with Exogenous variables for Robust Carbon Footprint Forecasting Temporal fusion transform- ers for interpretable multi-horizon time series forecasting

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T22:20:23.676969Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-15T22:18:03.436478Z digest=sha256:1d1c1b8ecbbd8c3f7a19c9dddd76a0a6efefc31ae740c92da9f26a8a01c99827

Observation 66afb5fb-1a51-4ec3-8ad0-df0410e20350 · outbound

This paper cites Neural basis expansion analysis with exogenous variables: Forecasting electricity prices with NBEATSx.

FTimeXer: Frequency-aware Time-series Transformer with Exogenous variables for Robust Carbon Footprint Forecasting Neural basis expansion analysis with exogenous variables: Forecasting electricity prices with NBEATSx

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T22:20:23.720691Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-15T22:18:03.436478Z digest=sha256:1947600dfdd33c7dfda530be788d6b7ed2db46dc10caa6d8f22eb4043ac48580

Observation 31b27534-b38e-493d-b26a-6fb71c6efa34 · outbound

This paper cites Self-supervised transformer for sparse and irregularly sampled multivariate clinical time-series.

FTimeXer: Frequency-aware Time-series Transformer with Exogenous variables for Robust Carbon Footprint Forecasting Self-supervised transformer for sparse and irregularly sampled multivariate clinical time-series

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T22:20:23.700678Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-15T22:18:03.436478Z digest=sha256:8ae4bdad9744e20d16c6a25854199bf3dd03477869c5f88738f52a94cc4ee6fd

Observation a52cfa2a-2d2e-426e-9535-dc1f1a98d19d · outbound

This paper cites Csdi: Conditional score- based diffusion models for probabilistic time series imputation.

FTimeXer: Frequency-aware Time-series Transformer with Exogenous variables for Robust Carbon Footprint Forecasting Csdi: Conditional score- based diffusion models for probabilistic time series imputation

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T22:20:23.711618Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-15T22:18:03.436478Z digest=sha256:3d7fa1ed18e5769feef9c747e32a218bbb9df931589ec552dad536eaa14b75ed

Observation 5d14c648-3007-413d-bd11-193c445d10e3 · outbound

This paper cites Saits: Self-attention-based imputation for time series.

FTimeXer: Frequency-aware Time-series Transformer with Exogenous variables for Robust Carbon Footprint Forecasting Saits: Self-attention-based imputation for time series

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T22:20:23.761996Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-15T22:18:03.436478Z digest=sha256:2f2a94c374c93636ba851d02f5162b20cb1c197502f1715fa82c7f2099938f23

Observation 6d2981d8-d84c-4b2e-9a00-d4f14092e7ca · outbound

This paper cites Exploiting language power for time series forecasting with exogenous variables.

FTimeXer: Frequency-aware Time-series Transformer with Exogenous variables for Robust Carbon Footprint Forecasting Exploiting language power for time series forecasting with exogenous variables

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T22:20:23.707002Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-15T22:18:03.436478Z digest=sha256:3b9bff38932588d994d6a2310ebbc3043b6f8ad4a497b8ea0381395a49beb075

Observation 22dea975-8689-463f-adc0-b8566bb14be6 · outbound

This paper cites Informer: Beyond efficient transformer for long sequence time-series forecasting.

FTimeXer: Frequency-aware Time-series Transformer with Exogenous variables for Robust Carbon Footprint Forecasting Informer: Beyond efficient transformer for long sequence time-series forecasting

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T22:20:23.716377Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-15T22:18:03.436478Z digest=sha256:d026aa1ae08b3e96377261998e515958f7027fc8569661ea14598e8289cc2276

Observation b321e1c8-f834-46c7-91fb-ae918a08ceb5 · outbound

This paper cites Etsformer: Exponen- tial smoothing transformers for time-series forecasting.

FTimeXer: Frequency-aware Time-series Transformer with Exogenous variables for Robust Carbon Footprint Forecasting Etsformer: Exponen- tial smoothing transformers for time-series forecasting

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T22:20:23.686241Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-15T22:18:03.436478Z digest=sha256:d876a5e40a02b1d5de22819baca7b37fb486da9265eb53f7821bfd852efd0ee6

Observation a0a06354-2c4e-46ff-994c-37a95cd4cddc · outbound

This paper cites Autoformer: Decomposition transformers with auto-correlation for long-term series forecasting.

FTimeXer: Frequency-aware Time-series Transformer with Exogenous variables for Robust Carbon Footprint Forecasting Autoformer: Decomposition transformers with auto-correlation for long-term series forecasting

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T22:20:23.694565Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-15T22:18:03.436478Z digest=sha256:d60ab6636a416d2382fecb34ca7d53246d45caaf896374f8ebf603a598eeba91

Observation d4297747-246e-42dd-b96a-ace052d6bfc1 · outbound

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

FTimeXer: Frequency-aware Time-series Transformer with Exogenous variables for Robust Carbon Footprint Forecasting A time series is worth 64 words: Long-term forecasting with transformers

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T22:20:23.660638Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-15T22:18:03.436478Z digest=sha256:ea3795007538a054e7df9ba6e979908361a15af6c8e77ec552b47082eb7fd5e4

Observation 8836040d-7845-4502-944a-4bba7176c58a · outbound

This paper cites itrans- former: Inverted transformers are effective for time series forecasting.

FTimeXer: Frequency-aware Time-series Transformer with Exogenous variables for Robust Carbon Footprint Forecasting itrans- former: Inverted transformers are effective for time series forecasting

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T22:20:23.748920Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-15T22:18:03.436478Z digest=sha256:5ff508ca6adf25a188d322b3219f0ad341ef9ba5770cfc53fb929f0ebbe60f92

Observation 01f2c3e3-e710-442d-9c40-ab3c81a89fab · outbound

This paper cites A survey on deep learning based time series analysis with frequency transformation.

FTimeXer: Frequency-aware Time-series Transformer with Exogenous variables for Robust Carbon Footprint Forecasting A survey on deep learning based time series analysis with frequency transformation

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T22:20:23.681681Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-15T22:18:03.436478Z digest=sha256:ffd35f2f002885e7eb04adae1e221513bb7e32454b07870e164ca964b1d082f8

Observation c363b40f-8c1d-418d-ae73-f2483b15adff · outbound

This paper cites FEDformer: Frequency enhanced decomposed transformer for long-term series fore- casting.

FTimeXer: Frequency-aware Time-series Transformer with Exogenous variables for Robust Carbon Footprint Forecasting FEDformer: Frequency enhanced decomposed transformer for long-term series fore- casting

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T22:20:23.698273Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-15T22:18:03.436478Z digest=sha256:750fc6cd37e43ba619c3c94d5938937bab22659af416be054b4313ab8f06a5a8

Observation b19d9a6d-1299-46b2-ba65-32760af338f5 · outbound

This paper cites Spectral temporal graph neural network for multivariate time-series forecasting.

FTimeXer: Frequency-aware Time-series Transformer with Exogenous variables for Robust Carbon Footprint Forecasting Spectral temporal graph neural network for multivariate time-series forecasting

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T22:20:23.725108Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-15T22:18:03.436478Z digest=sha256:83cefd3475d09bf13bcb7a58c4cf7b436e4352075aebf5fd053b825c8da4cc1c

Observation c0b56339-23de-46c1-9c1b-c4752b9c762f · outbound

This paper cites Fourier neural operator for para- metric partial differential equations.

FTimeXer: Frequency-aware Time-series Transformer with Exogenous variables for Robust Carbon Footprint Forecasting Fourier neural operator for para- metric partial differential equations

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T22:20:23.753767Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-15T22:18:03.436478Z digest=sha256:4348f954ade2b4349263bdac72d43789ab85558c69c7a6ca20906957514be986

Observation 728bf539-9b91-4e52-a58e-8bcc8b08d89a · outbound

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

FTimeXer: Frequency-aware Time-series Transformer with Exogenous variables for Robust Carbon Footprint Forecasting Simmtm: A simple pre-training framework for masked time-series modeling

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T22:20:23.664670Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-15T22:18:03.436478Z digest=sha256:e88ee4024fb4dd32c254aee1121790a15f493bebd58295fb16887b202a17f6fc

Observation 521b4a73-ae9f-4d0b-b657-5e28623e8815 · outbound

This paper cites Context consistency regularization for label sparsity in time series.

FTimeXer: Frequency-aware Time-series Transformer with Exogenous variables for Robust Carbon Footprint Forecasting Context consistency regularization for label sparsity in time series

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T22:20:23.668794Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-15T22:18:03.436478Z digest=sha256:4326cc10e65541803a687f04a6a3b215f0e0546d85f479234b58b2f2136fc713

Pith citing papers

Observation 1045b35e-e755-498f-85f4-991aef5da8bd · inbound

Exogenous Dropout: A Simple, Strong Baseline for Corruption-Robust Time Series Forecasting with Covariates cites this paper.

Exogenous Dropout: A Simple, Strong Baseline for Corruption-Robust Time Series Forecasting with Covariates FTimeXer: Frequency-aware Time-series Transformer with Exogenous variables for Robust Carbon Footprint Forecasting

Reference 8

Resolution
unresolved
no resolver link, observed 2026-07-11T19:41:55.651993Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-11T19:41:55.651993Z digest=sha256:c03213a3508b330bf55edf2e696934c28023dc28b4ec095dc0ce588e30a72fb0