Paper Citation Record · LEDGER

SCOT: Multi-Source Cross-City Transfer with Optimal-Transport Soft-Correspondence Objective

As of 6 August 2026, this Paper Citation Record lists 26 of 26 outbound references and 0 inbound Pith citation observations for arXiv:2604.07383.

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

pith.paper-citation-record.v1
2604.07383 v2

Coverage vector

measured 26 of 26 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-12T01:27:24.613788Z

measured 26 of 26 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

26 of 26 outbound references displayed

verified exact8
verified fuzzy11
unresolved5
parse uncertain0
malformed identifier2
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 87adeee9-a2ad-41e6-a4c1-62dd655c7a70 · outbound

This paper cites Using optimal transport as alignment objective for fine-tuning multilingual contextualized embeddings.arXiv preprint arXiv:2110.02887.

SCOT: Multi-Source Cross-City Transfer with Optimal-Transport Soft-Correspondence Objective Using optimal transport as alignment objective for fine-tuning multilingual contextualized embeddings.arXiv preprint arXiv:2110.02887

Reference 1

Resolution: verified exact; arxiv_id, observed 2026-05-12T07:56:34.681065Z

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 1694924d-0533-4a1f-b781-306c4e054087 · outbound

This paper cites Storm-gan: spatio-temporal meta-gan for cross-city estimation of human mobility responses to covid-19.

SCOT: Multi-Source Cross-City Transfer with Optimal-Transport Soft-Correspondence Objective Storm-gan: spatio-temporal meta-gan for cross-city estimation of human mobility responses to covid-19

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T07:09:29.500192Z

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 6f315b4c-dafa-4c38-9114-d938846ec092 · outbound

This paper cites How Attentive are Graph Attention Networks?.

SCOT: Multi-Source Cross-City Transfer with Optimal-Transport Soft-Correspondence Objective How Attentive are Graph Attention Networks?

Reference 3

Resolution: verified exact; arxiv_id, observed 2026-05-17T02:33:38.952416Z

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 47fdd1c7-89d8-431b-b451-6f702d4c08de · outbound

This paper cites When transfer learning meets cross-city urban flow prediction: Spatio-temporal adaptation matters.

SCOT: Multi-Source Cross-City Transfer with Optimal-Transport Soft-Correspondence Objective When transfer learning meets cross-city urban flow prediction: Spatio-temporal adaptation matters

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T07:09:29.487591Z

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 59be2c3d-bb3a-48ff-8cdb-5afc66727ab6 · outbound

This paper cites Transferable graph structure learning for graph-based traffic forecasting across cities.

SCOT: Multi-Source Cross-City Transfer with Optimal-Transport Soft-Correspondence Objective Transferable graph structure learning for graph-based traffic forecasting across cities

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T07:09:29.491695Z

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 a9487b75-c848-436c-856d-5ec89a7f6ba7 · outbound

This paper cites How to Find Your Friendly Neighborhood: Graph Attention Design with Self-Supervision.

SCOT: Multi-Source Cross-City Transfer with Optimal-Transport Soft-Correspondence Objective How to Find Your Friendly Neighborhood: Graph Attention Design with Self-Supervision

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-05-12T07:56:35.299403Z

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 7a8ac559-f702-459e-adf4-337808acefe0 · outbound

This paper cites Modeling network- level traffic flow transitions on sparse data.

SCOT: Multi-Source Cross-City Transfer with Optimal-Transport Soft-Correspondence Objective Modeling network- level traffic flow transitions on sparse data

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T07:09:29.503951Z

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 f4a516ec-184c-4239-b45c-e2177b5e274c · outbound

This paper cites Few-sample traffic pre- diction with graph networks using locale as relational inductive biases.IEEE Transactions on Intelligent Transportation Systems, 24(2):1894–1908.

SCOT: Multi-Source Cross-City Transfer with Optimal-Transport Soft-Correspondence Objective Few-sample traffic pre- diction with graph networks using locale as relational inductive biases.IEEE Transactions on Intelligent Transportation Systems, 24(2):1894–1908

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T07:09:29.505963Z

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 ce2ef24e-9535-42a6-b5df-382a9716f16f · outbound

This paper cites Diffusion Convolutional Recurrent Neural Network: Data-Driven Traffic Forecasting.

SCOT: Multi-Source Cross-City Transfer with Optimal-Transport Soft-Correspondence Objective Diffusion Convolutional Recurrent Neural Network: Data-Driven Traffic Forecasting

Reference 9

Resolution: verified exact; arxiv_id, observed 2026-05-12T07:56:34.966994Z

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 0e1076a0-5a04-4550-9cc9-013bffc271d6 · outbound

This paper cites Frequency Enhanced Pre-training for Cross-city Few-shot Traffic Forecasting.

SCOT: Multi-Source Cross-City Transfer with Optimal-Transport Soft-Correspondence Objective Frequency Enhanced Pre-training for Cross-city Few-shot Traffic Forecasting

Reference 10

Resolution: verified exact; arxiv_id, observed 2026-05-12T07:56:35.077460Z

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 588c270f-a168-4aea-b340-6825f9ef5377 · outbound

This paper cites Spatio-temporal graph few-shot learning with cross- city knowledge transfer.

SCOT: Multi-Source Cross-City Transfer with Optimal-Transport Soft-Correspondence Objective Spatio-temporal graph few-shot learning with cross- city knowledge transfer

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T07:09:29.512170Z

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 e1bcdb70-9c6a-4400-9513-924257f1e5df · outbound

This paper cites H., Lam, W.

SCOT: Multi-Source Cross-City Transfer with Optimal-Transport Soft-Correspondence Objective H., Lam, W

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T07:09:29.521046Z

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 8db6e2db-c6d9-4054-b9cf-7c189f753adc · outbound

This paper cites Graph Attention Networks.

SCOT: Multi-Source Cross-City Transfer with Optimal-Transport Soft-Correspondence Objective Graph Attention Networks

Reference 13

Resolution: verified exact; local_arxiv, observed 2026-05-12T07:56:35.147346Z

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 62a542a1-0460-4391-a583-026f253e8113 · outbound

This paper cites an unresolved cited work.

SCOT: Multi-Source Cross-City Transfer with Optimal-Transport Soft-Correspondence Objective Unresolved cited work

Reference 14

Resolution: unresolved; raw_fallback, observed 2026-05-14T07:09:29.516717Z

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 b040e608-f6c2-44c8-a263-ecd89a260d1a · outbound

This paper cites Areatransfer: A cross-city crowd flow prediction frame- work based on transfer learning.

SCOT: Multi-Source Cross-City Transfer with Optimal-Transport Soft-Correspondence Objective Areatransfer: A cross-city crowd flow prediction frame- work based on transfer learning

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T07:09:29.507863Z

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 3f4621a6-e5f2-4e7e-853b-96c0ee9525b4 · outbound

This paper cites Transfer knowledge between cities.

SCOT: Multi-Source Cross-City Transfer with Optimal-Transport Soft-Correspondence Objective Transfer knowledge between cities

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T07:09:29.509997Z

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 ea532b01-38ee-49d6-b33e-fafdd661aff4 · outbound

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

SCOT: Multi-Source Cross-City Transfer with Optimal-Transport Soft-Correspondence Objective Graph WaveNet for Deep Spatial-Temporal Graph Modeling

Reference 17

Resolution: verified exact; arxiv_id, observed 2026-05-12T07:56:34.757126Z

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 e81cf79f-a990-4190-8d30-2f2ac84b2b75 · outbound

This paper cites Can-st: Clustering adaptive normalization for spatio-temporal ood learning.

SCOT: Multi-Source Cross-City Transfer with Optimal-Transport Soft-Correspondence Objective Can-st: Clustering adaptive normalization for spatio-temporal ood learning

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T07:09:29.514447Z

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 a57354ae-2fe9-4bc7-b674-9aa10a440013 · outbound

This paper cites Spatio-Temporal Graph Convolutional Networks: A Deep Learning Framework for Traffic Forecasting.

SCOT: Multi-Source Cross-City Transfer with Optimal-Transport Soft-Correspondence Objective Spatio-Temporal Graph Convolutional Networks: A Deep Learning Framework for Traffic Forecasting

Reference 19

Resolution: verified exact; arxiv_id, observed 2026-05-12T07:56:34.817036Z

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 6944529f-adaa-4f09-890d-0a73f766319f · outbound

This paper cites Cross-city transfer learning tackles data scarcity and high labeling costs in urban computing by transferring knowledge from well-instrumented source cities to label-scarce targets.

SCOT: Multi-Source Cross-City Transfer with Optimal-Transport Soft-Correspondence Objective Cross-city transfer learning tackles data scarcity and high labeling costs in urban computing by transferring knowledge from well-instrumented source cities to label-scarce targets

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T07:09:29.498184Z

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 aac30f67-1f91-4ada-b22e-ee2fb4c0b554 · outbound

This paper cites an unresolved cited work.

SCOT: Multi-Source Cross-City Transfer with Optimal-Transport Soft-Correspondence Objective Unresolved cited work

Reference 21

Resolution: unresolved; raw_fallback, observed 2026-05-14T07:09:29.485467Z

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 aff2c509-9c4a-4dfa-936e-8ef14514ed47 · outbound

This paper cites an unresolved cited work.

SCOT: Multi-Source Cross-City Transfer with Optimal-Transport Soft-Correspondence Objective Unresolved cited work

Reference 22

Resolution: unresolved; raw_fallback, observed 2026-05-14T07:09:29.495403Z

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 70698463-82bd-4c04-a4a6-d48ad12e41ac · outbound

This paper cites an unresolved cited work.

SCOT: Multi-Source Cross-City Transfer with Optimal-Transport Soft-Correspondence Objective Unresolved cited work

Reference 23

Resolution: unresolved; raw_fallback, observed 2026-05-14T07:09:29.519145Z

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 a12324f8-5ae4-4530-878c-08e4c8329e60 · outbound

This paper cites an unresolved cited work.

SCOT: Multi-Source Cross-City Transfer with Optimal-Transport Soft-Correspondence Objective Unresolved cited work

Reference 24

Resolution: unresolved; raw_fallback, observed 2026-05-14T07:09:29.502053Z

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 2f54505e-3f89-4ea4-87d6-394027b79852 · outbound

This paper cites an unresolved cited work.

SCOT: Multi-Source Cross-City Transfer with Optimal-Transport Soft-Correspondence Objective Unresolved cited work

Reference 25

Resolution: malformed identifier; raw_fallback, observed 2026-05-14T07:09:29.489416Z

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 8c9e866f-2d73-4f92-94cd-59f3fb35dec0 · outbound

This paper cites collapse.

SCOT: Multi-Source Cross-City Transfer with Optimal-Transport Soft-Correspondence Objective collapse

Reference 26

Resolution: malformed identifier; raw_fallback, observed 2026-05-14T07:09:29.493517Z

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.