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Paper Citation Record · LEDGER

Flowformer: Linearizing Transformers with Conservation Flows

As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2202.06258.

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

pith.paper-citation-record.v1
2202.06258 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 7 of 7 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T00:19:52.163717Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-28T23:42:49.737714Z

Reference resolution

0 of 0 outbound references displayed

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  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 80c20035-173a-4a42-a75c-16747b04ce08 · inbound

FreEformer: Frequency Enhanced Transformer for Multivariate Time Series Forecasting cites this paper.

FreEformer: Frequency Enhanced Transformer for Multivariate Time Series Forecasting Flowformer: Linearizing Transformers with Conservation Flows

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-10T15:58:14.753067Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T15:58:14.753067Z digest=sha256:23dbff5fe52802607cf62e27c5591a856a64b530eff4c39c1e3a10941917e61e

Observation c477065c-c492-4bbf-9ed6-f9ec5a6956c6 · inbound

PaMMA-Net: Plasmas magnetic measurement evolution based on data-driven incremental accumulative prediction cites this paper.

PaMMA-Net: Plasmas magnetic measurement evolution based on data-driven incremental accumulative prediction Flowformer: Linearizing Transformers with Conservation Flows

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-10T15:50:32.102339Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T15:50:32.102339Z digest=sha256:db4c6fb7583ce5613f609c849a91a7c601a29ebabe08e1b83cc2b6781c304140

Observation c2721eb2-7a36-491e-beda-97e356ea1fe7 · inbound

DIFFUMA: High-Fidelity Spatio-Temporal Video Prediction via Dual-Path Mamba and Diffusion Enhancement cites this paper.

DIFFUMA: High-Fidelity Spatio-Temporal Video Prediction via Dual-Path Mamba and Diffusion Enhancement Flowformer: Linearizing Transformers with Conservation Flows

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-06T19:00:06.267930Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:00:06.267930Z digest=sha256:c308d5fb1df579a7352997a04d1c941ab597fe654cbf8b8787a6d4af4d962e8a

Observation ff9b370d-d580-427c-b507-8bbbfbea847f · inbound

RETO: A Rotary-Enhanced Transformer Operator for High-Fidelity Prediction of Automotive Aerodynamics cites this paper.

RETO: A Rotary-Enhanced Transformer Operator for High-Fidelity Prediction of Automotive Aerodynamics Flowformer: Linearizing Transformers with Conservation Flows

Reference 9

Resolution
verified exact
arxiv_id, observed 2026-05-11T15:11:04.306747Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-09T20:38:39.281863Z digest=sha256:b0b19d34e2ed590ea16d9bb1bd75df5fff35c276e7b64c3ffb54c7a1993f7a51

Observation f7b9d6c0-05db-43e9-8a86-5c6786d3f387 · inbound

ChurnNet: A Optimized Modern AI for Churn Prediction cites this paper.

ChurnNet: A Optimized Modern AI for Churn Prediction Flowformer: Linearizing Transformers with Conservation Flows

Reference 36

Resolution
metadata mismatch
arxiv_id, observed 2026-06-28T23:42:49.739027Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-06-28T23:35:17.504844Z digest=sha256:dbb4feaeb245f59380717127194eb56cebf795680431127f89f2cdd20b3defe4

Observation 4997c824-a770-41a5-bdb0-8121d1c20bae · inbound

LLT: Local Linear Transformer for PDE Operator Learning cites this paper.

LLT: Local Linear Transformer for PDE Operator Learning Flowformer: Linearizing Transformers with Conservation Flows

Reference 58

Resolution
unresolved
no resolver link, observed 2026-07-11T23:44:26.734234Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-11T23:44:26.734234Z digest=sha256:d3a09d28f07071bccce948a1f6ae98485eff03cbd16b9c6cbb29ae5319e12247

Observation 04ca5381-c0a1-4973-8ac7-3b0d3d454fcb · inbound

FreSH: Frequency-Segmented Hierarchical Multi-Expert Framework for Multivariate Time Series Classification cites this paper.

FreSH: Frequency-Segmented Hierarchical Multi-Expert Framework for Multivariate Time Series Classification Flowformer: Linearizing Transformers with Conservation Flows

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-12T00:19:52.163717Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T00:19:52.163717Z digest=sha256:240452ee6667872508c8475506b64f60a8035d5c2776b37c3b2de5ec4dd52861