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Paper Citation Record · LEDGER

INSPIRE-GNN: Intelligent Sensor Placement to Improve Sparse Bicycling Network Prediction via Reinforcement Learning Boosted Graph Neural Networks

As of 8 August 2026, this Paper Citation Record lists 63 of 63 outbound references and 0 inbound Pith citation observations for arXiv:2508.00141.

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

pith.paper-citation-record.v1
2508.00141 v1

Coverage vector

measured 63 of 63 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T10:23:13.101736Z

measured 63 of 63 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+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

63 of 63 outbound references displayed

  • verified exact1
  • verified fuzzy22
  • unresolved40
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 29871fa0-aa63-4fb5-bf5c-91eeafd51a6d · outbound

This paper cites Atap guidelines: National guidelines for transport system management in australia.

INSPIRE-GNN: Intelligent Sensor Placement to Improve Sparse Bicycling Network Prediction via Reinforcement Learning Boosted Graph Neural Networks Atap guidelines: National guidelines for transport system management in australia

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T10:23:14.459315Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T10:23:12.605015Z digest=sha256:73f97b8e63bb7f7b140cfd800bf4199ba64686d4ebe81584707f1e9ad5c2bd18

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-06T10:23:12.613346Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T10:23:12.613346Z digest=sha256:62d04b7a622fa9f2e8b59a264e13d056c87a0defc1fc1219ef9cd23600182c4b

Observation a2e6eb41-54a1-4496-a061-64767be53bdf · outbound

This paper cites Z., Seneviratne, S., Pettit, C., Vu, H.

INSPIRE-GNN: Intelligent Sensor Placement to Improve Sparse Bicycling Network Prediction via Reinforcement Learning Boosted Graph Neural Networks Z., Seneviratne, S., Pettit, C., Vu, H

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T10:23:14.441889Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T10:23:12.621216Z digest=sha256:572a1aa480fac36a883c6daf6ed05a95a0a1531099325d52dd37e875fcd2592b

Observation cdb5a193-c4aa-416d-9d06-2dd1302002ff · outbound

This paper cites and Dill, J.

INSPIRE-GNN: Intelligent Sensor Placement to Improve Sparse Bicycling Network Prediction via Reinforcement Learning Boosted Graph Neural Networks and Dill, J

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T10:23:14.424728Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T10:23:12.628055Z digest=sha256:6fbd82c47a6e8613193718a424296b060c146dae4fa5fe4cbef32fd31e2a8cf2

Observation 41e14b2b-d7ca-423d-b07f-f0eaebe4b042 · outbound

This paper cites and Pucher, J.

INSPIRE-GNN: Intelligent Sensor Placement to Improve Sparse Bicycling Network Prediction via Reinforcement Learning Boosted Graph Neural Networks and Pucher, J

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T10:23:14.406027Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T10:23:12.634834Z digest=sha256:f48abfd10278635cd84ae0b5e571f04dd561720e01836cb47f25c5b72c959d3c

Observation bfb55b93-b8ea-413f-a194-1ff85df00f6c · outbound

This paper cites an unresolved cited work.

INSPIRE-GNN: Intelligent Sensor Placement to Improve Sparse Bicycling Network Prediction via Reinforcement Learning Boosted Graph Neural Networks Unresolved cited work

Reference 6

Resolution
unresolved
raw_fallback, observed 2026-08-06T10:23:14.387651Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T10:23:12.641819Z digest=sha256:ba2040773cb10af4d73789fb830527e735ac2e34ade088e63dd7f5cacc09717a

Observation 2d2d93c2-526f-4971-8b32-7b2e84742ddd · outbound

This paper cites an unresolved cited work.

INSPIRE-GNN: Intelligent Sensor Placement to Improve Sparse Bicycling Network Prediction via Reinforcement Learning Boosted Graph Neural Networks Unresolved cited work

Reference 7

Resolution
unresolved
raw_fallback, observed 2026-08-06T10:23:14.369575Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T10:23:12.648661Z digest=sha256:cfdfb8913a8ac5e6a990c2afb8f47201fd3ccc3f463e8722a3ec131376a48f8c

Observation 7090a582-7838-43e7-abb8-b255ace055f4 · outbound

This paper cites Graph Reinforcement Learning for Combinatorial Optimization: A Survey and Unifying Perspective.

INSPIRE-GNN: Intelligent Sensor Placement to Improve Sparse Bicycling Network Prediction via Reinforcement Learning Boosted Graph Neural Networks Graph Reinforcement Learning for Combinatorial Optimization: A Survey and Unifying Perspective

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-06T10:23:12.654364Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T10:23:12.654364Z digest=sha256:e68195ff24f6788a438dfc8b8a2e3247190ffcf9676332e132f12923dd8f855d

Observation 034d242e-2b93-4165-beb3-9aaa16ee708b · outbound

This paper cites an unresolved cited work.

INSPIRE-GNN: Intelligent Sensor Placement to Improve Sparse Bicycling Network Prediction via Reinforcement Learning Boosted Graph Neural Networks Unresolved cited work

Reference 9

Resolution
unresolved
raw_fallback, observed 2026-08-06T10:23:14.350215Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T10:23:12.661032Z digest=sha256:1346856bc89c339e36fd76ca769cb1346b6756fb34fdf9a1e315ebbafdad92db

Observation a1ece2c4-8ef8-4359-ab15-3c631a848592 · outbound

This paper cites J., Boogaard, H., Nijland, H., and Hoek, G.

INSPIRE-GNN: Intelligent Sensor Placement to Improve Sparse Bicycling Network Prediction via Reinforcement Learning Boosted Graph Neural Networks J., Boogaard, H., Nijland, H., and Hoek, G

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T10:23:14.332004Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T10:23:12.666547Z digest=sha256:f808bab97ed5bf552daf7edbd6a00ad9ecc2716738a00ed44d099ae297bf41a6

Observation 9718a90d-0247-4f8d-9a25-bfb8effe9bf3 · outbound

This paper cites an unresolved cited work.

INSPIRE-GNN: Intelligent Sensor Placement to Improve Sparse Bicycling Network Prediction via Reinforcement Learning Boosted Graph Neural Networks Unresolved cited work

Reference 11

Resolution
unresolved
raw_fallback, observed 2026-08-06T10:23:14.315271Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T10:23:12.672377Z digest=sha256:ad1055596b6e3d02108395511c49c568f074acc07daf6688f3fa1014f0c1cfba

Observation 32de3e0e-cf05-4b07-b3a7-b48a8d0e487e · outbound

This paper cites Cycling remains at high levels in 2023 edition of EuroVelo Usage Monitoring Report.

INSPIRE-GNN: Intelligent Sensor Placement to Improve Sparse Bicycling Network Prediction via Reinforcement Learning Boosted Graph Neural Networks Cycling remains at high levels in 2023 edition of EuroVelo Usage Monitoring Report

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T10:23:14.298406Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T10:23:12.678804Z digest=sha256:a8d5af33179b5df5d7e80e6d6da91a6ab5d2455c27dc43fa003f153b0348c8a7

Observation da627d43-0f6c-4c05-97c4-8674f199f55c · outbound

This paper cites an unresolved cited work.

INSPIRE-GNN: Intelligent Sensor Placement to Improve Sparse Bicycling Network Prediction via Reinforcement Learning Boosted Graph Neural Networks Unresolved cited work

Reference 13

Resolution
unresolved
raw_fallback, observed 2026-08-06T10:23:14.280141Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T10:23:12.684053Z digest=sha256:95dab382a8056f2d03780e545b54393a4548067be00726a7baf8753bce42d8b3

Observation 94ce7a6d-7195-4646-82bb-1eff12482224 · outbound

This paper cites an unresolved cited work.

INSPIRE-GNN: Intelligent Sensor Placement to Improve Sparse Bicycling Network Prediction via Reinforcement Learning Boosted Graph Neural Networks Unresolved cited work

Reference 14

Resolution
unresolved
raw_fallback, observed 2026-08-06T10:23:14.262474Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T10:23:12.689764Z digest=sha256:051ae85da49fee277068f229464ca859cf350f068d39fa2d8d89b316ae0038f1

Observation b1d01e51-7484-4ebe-be43-86218b99e371 · outbound

This paper cites an unresolved cited work.

INSPIRE-GNN: Intelligent Sensor Placement to Improve Sparse Bicycling Network Prediction via Reinforcement Learning Boosted Graph Neural Networks Unresolved cited work

Reference 15

Resolution
unresolved
raw_fallback, observed 2026-08-06T10:23:14.244179Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T10:23:12.694861Z digest=sha256:5fa022c1dfde1f88f1a578e6e093cd0cdc33331e5c5a35bb54552b876bd022f6

Observation 8c0a7fd8-9abf-4269-99a0-354066631ad3 · outbound

This paper cites an unresolved cited work.

INSPIRE-GNN: Intelligent Sensor Placement to Improve Sparse Bicycling Network Prediction via Reinforcement Learning Boosted Graph Neural Networks Unresolved cited work

Reference 16

Resolution
unresolved
raw_fallback, observed 2026-08-06T10:23:14.225218Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T10:23:12.700415Z digest=sha256:4f7c4a719118ae5742fce91d5c7acd33727b53e3cdd85ceb250dd3be1ecfb750

Observation b09088b9-c67d-4a68-a8cb-f4ee6e1007c0 · outbound

This paper cites an unresolved cited work.

INSPIRE-GNN: Intelligent Sensor Placement to Improve Sparse Bicycling Network Prediction via Reinforcement Learning Boosted Graph Neural Networks Unresolved cited work

Reference 17

Resolution
unresolved
raw_fallback, observed 2026-08-06T10:23:14.201988Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T10:23:12.705740Z digest=sha256:be5b9b599d728d93dd530c06bc36bbea092b57c5ff6c659c78a5ddafa734b1c0

Observation 928fe4c9-bbe9-4da4-8809-1c6e05102ee8 · outbound

This paper cites Adaptive Traffic Signal Control: Deep Reinforcement Learning Algorithm with Experience Replay and Target Network.

INSPIRE-GNN: Intelligent Sensor Placement to Improve Sparse Bicycling Network Prediction via Reinforcement Learning Boosted Graph Neural Networks Adaptive Traffic Signal Control: Deep Reinforcement Learning Algorithm with Experience Replay and Target Network

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-06T10:23:12.711159Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T10:23:12.711159Z digest=sha256:43248366cfee2155396193fee1e5e29a8205fbb44dc4c36f7093aebb83427e3a

Observation ad155af5-af24-42a9-b1cb-d8c08cc1a41a · outbound

This paper cites L., Spak, S.

INSPIRE-GNN: Intelligent Sensor Placement to Improve Sparse Bicycling Network Prediction via Reinforcement Learning Boosted Graph Neural Networks L., Spak, S

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T10:23:14.178485Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T10:23:12.717323Z digest=sha256:bebc5ae032ff93539d273de9b5c3e411c8a2924683a650dd48f5565fa9529936

Observation 40cfbc59-e1e5-45b8-9cc3-b05019c6e33e · outbound

This paper cites B., Medury, A., and Schneider, R.

INSPIRE-GNN: Intelligent Sensor Placement to Improve Sparse Bicycling Network Prediction via Reinforcement Learning Boosted Graph Neural Networks B., Medury, A., and Schneider, R

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T10:23:14.159736Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T10:23:12.722678Z digest=sha256:d4cfae2cf7cec32093329a30b2310920ad511eea0d0aa2d9e2eadf257111b3a6

Observation 330a4392-5580-4df5-879c-e407a086569f · outbound

This paper cites an unresolved cited work.

INSPIRE-GNN: Intelligent Sensor Placement to Improve Sparse Bicycling Network Prediction via Reinforcement Learning Boosted Graph Neural Networks Unresolved cited work

Reference 21

Resolution
unresolved
raw_fallback, observed 2026-08-06T10:23:14.139626Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T10:23:12.728245Z digest=sha256:330dc208513b1ab384fb11a62a082556bf4ed1880757049d8489f475d6ca44f6

Observation a3e6226f-44a0-4444-b051-fb075a91a1ef · outbound

This paper cites an unresolved cited work.

INSPIRE-GNN: Intelligent Sensor Placement to Improve Sparse Bicycling Network Prediction via Reinforcement Learning Boosted Graph Neural Networks Unresolved cited work

Reference 22

Resolution
unresolved
raw_fallback, observed 2026-08-06T10:23:14.121827Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T10:23:12.734081Z digest=sha256:dd3b1d92a719036b68c9b8ab2b507b9b3da837675724a2886c0e1e7ac171c2e8

Observation 32896512-a022-48a6-a47c-0853ba298578 · outbound

This paper cites an unresolved cited work.

INSPIRE-GNN: Intelligent Sensor Placement to Improve Sparse Bicycling Network Prediction via Reinforcement Learning Boosted Graph Neural Networks Unresolved cited work

Reference 23

Resolution
verified exact
raw_fallback, observed 2026-08-06T10:23:13.333590Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T10:23:12.740153Z digest=sha256:1e5bc7545e023e2eecf257429969ea497338a5f9e7a346d0ffc2a7f0e47093a0

Observation 64a8c8e6-49c3-43e9-aaf5-61b3d3854b3d · outbound

This paper cites and Y lmaz, Y.

INSPIRE-GNN: Intelligent Sensor Placement to Improve Sparse Bicycling Network Prediction via Reinforcement Learning Boosted Graph Neural Networks and Y lmaz, Y

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T10:23:14.104069Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T10:23:12.746250Z digest=sha256:568b54a0482c23c893d206bbd5fc05ded9a723f20d0234c20d7ebc4d773a52bf

Observation b89bbc14-8f76-46b5-beae-e56f13d48f19 · outbound

This paper cites an unresolved cited work.

INSPIRE-GNN: Intelligent Sensor Placement to Improve Sparse Bicycling Network Prediction via Reinforcement Learning Boosted Graph Neural Networks Unresolved cited work

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-06T10:23:12.752418Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T10:23:12.752418Z digest=sha256:5a43807197bbbcf4ee6c16eb82935f64bb094e65d57556ccd878763b9bfe1c8b

Observation e5473759-4a92-4e1a-b3c2-8057ae16fd85 · outbound

This paper cites an unresolved cited work.

INSPIRE-GNN: Intelligent Sensor Placement to Improve Sparse Bicycling Network Prediction via Reinforcement Learning Boosted Graph Neural Networks Unresolved cited work

Reference 26

Resolution
unresolved
raw_fallback, observed 2026-08-06T10:23:14.072288Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T10:23:12.758121Z digest=sha256:3b148e55771677d715e61674f7abe1733a2439135077fe93bfa14e3fdb40f6b1

Observation 678da330-242d-4932-8c8e-e54f5e104dfd · outbound

This paper cites A., Mills, M.

INSPIRE-GNN: Intelligent Sensor Placement to Improve Sparse Bicycling Network Prediction via Reinforcement Learning Boosted Graph Neural Networks A., Mills, M

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T10:23:14.054019Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T10:23:12.764938Z digest=sha256:b826ace273f88ce05eb6c72a3402a3da3f9242ea77ab23bf7dbc42b620f4d292

Observation 0590873d-6f36-47bb-b4c1-3fab8d51c76e · outbound

This paper cites S., and Dhakad, N.

INSPIRE-GNN: Intelligent Sensor Placement to Improve Sparse Bicycling Network Prediction via Reinforcement Learning Boosted Graph Neural Networks S., and Dhakad, N

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T10:23:14.036047Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T10:23:12.770658Z digest=sha256:acd6a689f32b57c049294f70605dbd2a0049bb7503c07fd190d2d8c2ee357d8b

Observation 0a05da97-a60b-4aeb-8fff-84352c853c95 · outbound

This paper cites an unresolved cited work.

INSPIRE-GNN: Intelligent Sensor Placement to Improve Sparse Bicycling Network Prediction via Reinforcement Learning Boosted Graph Neural Networks Unresolved cited work

Reference 29

Resolution
unresolved
raw_fallback, observed 2026-08-06T10:23:14.016916Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T10:23:12.776086Z digest=sha256:b866c34b22061416153cd6039e71e099e2fdf4fec1b061dcacb208969a0704fe

Observation ba09a142-db47-49c5-827a-0ffa01c906aa · outbound

This paper cites and Sener, I.

INSPIRE-GNN: Intelligent Sensor Placement to Improve Sparse Bicycling Network Prediction via Reinforcement Learning Boosted Graph Neural Networks and Sener, I

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T10:23:13.998105Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T10:23:12.781633Z digest=sha256:f645dad37440e8e19708afb438d11ddbea5681cf31de2b4afd44a03f9880b1d4

Observation b518d76a-77de-4143-85e9-c5a865d8da64 · outbound

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

INSPIRE-GNN: Intelligent Sensor Placement to Improve Sparse Bicycling Network Prediction via Reinforcement Learning Boosted Graph Neural Networks Diffusion Convolutional Recurrent Neural Network: Data-Driven Traffic Forecasting

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-06T10:23:12.787412Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T10:23:12.787412Z digest=sha256:d7bdd68643564bf8c2ce7706791b4e6ebc68a009e9ccea7732f2962eed88ab77

Observation ce5f5fe0-91ad-49f6-9a8e-5f177523e99c · outbound

This paper cites and Fan, W.

INSPIRE-GNN: Intelligent Sensor Placement to Improve Sparse Bicycling Network Prediction via Reinforcement Learning Boosted Graph Neural Networks and Fan, W

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T10:23:13.979282Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T10:23:12.793500Z digest=sha256:a27a926e2872aede077604733e9614019870b754dde79a30f1be1a2275f06f6c

Observation 1583118d-b171-4623-8555-27f1c4686d35 · outbound

This paper cites an unresolved cited work.

INSPIRE-GNN: Intelligent Sensor Placement to Improve Sparse Bicycling Network Prediction via Reinforcement Learning Boosted Graph Neural Networks Unresolved cited work

Reference 33

Resolution
unresolved
raw_fallback, observed 2026-08-06T10:23:13.960672Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T10:23:12.799282Z digest=sha256:6deee1810dac4ecc6c3f1cf76317dfe1a283ef6f4fda849cb0a51904a2866bc6

Observation 1b374e12-2911-4c38-b1a6-6b3edc5ec50e · outbound

This paper cites an unresolved cited work.

INSPIRE-GNN: Intelligent Sensor Placement to Improve Sparse Bicycling Network Prediction via Reinforcement Learning Boosted Graph Neural Networks Unresolved cited work

Reference 34

Resolution
unresolved
raw_fallback, observed 2026-08-06T10:23:13.942813Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T10:23:12.805332Z digest=sha256:ef990abd76769de4160a2d2bcdfc2315ab5a3eb560f9a761d611ae300295f622

Observation 24130fef-f19b-4e7b-a25a-aab034f1cce9 · outbound

This paper cites an unresolved cited work.

INSPIRE-GNN: Intelligent Sensor Placement to Improve Sparse Bicycling Network Prediction via Reinforcement Learning Boosted Graph Neural Networks Unresolved cited work

Reference 35

Resolution
unresolved
raw_fallback, observed 2026-08-06T10:23:13.925953Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T10:23:12.812194Z digest=sha256:33100316c4096bee414eadd1f33328dddea8453f0c9f12a7fffd68c4f35a5036

Observation 573595a5-aecd-4400-a564-0bf298e3e440 · outbound

This paper cites an unresolved cited work.

INSPIRE-GNN: Intelligent Sensor Placement to Improve Sparse Bicycling Network Prediction via Reinforcement Learning Boosted Graph Neural Networks Unresolved cited work

Reference 36

Resolution
unresolved
raw_fallback, observed 2026-08-06T10:23:13.908352Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T10:23:12.819058Z digest=sha256:e289580551ae412c829f9cba8b546ef0522204f02e4599e6ac945bf60df183f8

Observation 340d96f3-9de6-45e7-bb5e-df7c1016e23a · outbound

This paper cites M., Hyun, K.

INSPIRE-GNN: Intelligent Sensor Placement to Improve Sparse Bicycling Network Prediction via Reinforcement Learning Boosted Graph Neural Networks M., Hyun, K

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T10:23:13.889886Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T10:23:12.824959Z digest=sha256:2112fddd58816e5045103d0db3786eb874772193780090502db0019edc29d943

Observation d8f4516e-3dc3-46ad-94a4-06b57755f5ca · outbound

This paper cites M., Hyun, K.

INSPIRE-GNN: Intelligent Sensor Placement to Improve Sparse Bicycling Network Prediction via Reinforcement Learning Boosted Graph Neural Networks M., Hyun, K

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T10:23:13.869423Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T10:23:12.830513Z digest=sha256:d3f6b24c52ce3144fdf982eccf044359dd8722cce400870782c7623809aa6e15

Observation 4d89df28-9fcc-48a4-8c44-d33e80633e2b · outbound

This paper cites A., Ferster, C., Roy, A., and Winters, M.

INSPIRE-GNN: Intelligent Sensor Placement to Improve Sparse Bicycling Network Prediction via Reinforcement Learning Boosted Graph Neural Networks A., Ferster, C., Roy, A., and Winters, M

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T10:23:13.851490Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T10:23:12.835637Z digest=sha256:e1d764ca63d8ecff2d4fdece13393560d2b9febe86dfbf0ed7b60a0431f142bd

Observation 83a47ef1-499a-499e-afe4-012097f0fcd6 · outbound

This paper cites an unresolved cited work.

INSPIRE-GNN: Intelligent Sensor Placement to Improve Sparse Bicycling Network Prediction via Reinforcement Learning Boosted Graph Neural Networks Unresolved cited work

Reference 40

Resolution
unresolved
raw_fallback, observed 2026-08-06T10:23:13.833804Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T10:23:12.841587Z digest=sha256:cc9ad9ec68d38baec8b6e5af384548effb86b8b546b4ab8400dfe51cbd208dc2

Observation 3ebe86c6-0812-4265-8536-6dc58b35820c · outbound

This paper cites OpenStreetMap.

INSPIRE-GNN: Intelligent Sensor Placement to Improve Sparse Bicycling Network Prediction via Reinforcement Learning Boosted Graph Neural Networks OpenStreetMap

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T10:23:13.816358Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T10:23:12.846909Z digest=sha256:3f9ca40eb4bcb48d730c5bfc0131be92cbfda1c5fe2abac062b55430ab703b86

Observation 96bfa848-6514-4886-a692-01f29718fb87 · outbound

This paper cites Gajewski, Hołyst, J.

INSPIRE-GNN: Intelligent Sensor Placement to Improve Sparse Bicycling Network Prediction via Reinforcement Learning Boosted Graph Neural Networks Gajewski, Hołyst, J

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T10:23:13.798421Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T10:23:12.852168Z digest=sha256:74e36b34e5c7206699a28dddf9470696bcc69b2debf572f09e4db817450216eb

Observation 1ff774cf-7a38-4d75-abbb-e8132d55efcf · outbound

This paper cites and Liu, S.

INSPIRE-GNN: Intelligent Sensor Placement to Improve Sparse Bicycling Network Prediction via Reinforcement Learning Boosted Graph Neural Networks and Liu, S

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-06T10:23:12.857498Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T10:23:12.857498Z digest=sha256:557252e61c68d972b98bed3d620835e45edceb7fa0936988cbe32286c05e2d45

Observation 80c733af-1342-4c69-ae5d-3194053e4903 · outbound

This paper cites an unresolved cited work.

INSPIRE-GNN: Intelligent Sensor Placement to Improve Sparse Bicycling Network Prediction via Reinforcement Learning Boosted Graph Neural Networks Unresolved cited work

Reference 44

Resolution
unresolved
raw_fallback, observed 2026-08-06T10:23:13.767873Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T10:23:12.971069Z digest=sha256:0f67e2d06dfc067b620f93bca39b751ae8d5d9dc7c8e77f90669c4fd6ef4ef7d

Observation e2249361-7103-4c25-b664-80320d082038 · outbound

This paper cites and Buehler, R.

INSPIRE-GNN: Intelligent Sensor Placement to Improve Sparse Bicycling Network Prediction via Reinforcement Learning Boosted Graph Neural Networks and Buehler, R

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T10:23:13.749762Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T10:23:12.979838Z digest=sha256:4abed480171875c5bfb58fe4824f6fd09c16deefff723929a9b64be61285c34f

Observation e678a862-5f25-4cba-8924-8ff2c2f8d6c1 · outbound

This paper cites an unresolved cited work.

INSPIRE-GNN: Intelligent Sensor Placement to Improve Sparse Bicycling Network Prediction via Reinforcement Learning Boosted Graph Neural Networks Unresolved cited work

Reference 46

Resolution
unresolved
raw_fallback, observed 2026-08-06T10:23:13.729736Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T10:23:12.985589Z digest=sha256:05cdeb4161537ad20b930de21723e38291f7559574f605633c11717ebe921526

Observation a3549ed3-eaf8-478a-9906-53695717c14c · outbound

This paper cites C., Harris, M.

INSPIRE-GNN: Intelligent Sensor Placement to Improve Sparse Bicycling Network Prediction via Reinforcement Learning Boosted Graph Neural Networks C., Harris, M

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T10:23:13.710942Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T10:23:12.991413Z digest=sha256:0739e1e658e05d1d8b8d0c1c0814f66ff463c1767ac5393216b8974ca94cf952

Observation c7cb0622-13d9-4b99-b426-bf747f46bfde · outbound

This paper cites an unresolved cited work.

INSPIRE-GNN: Intelligent Sensor Placement to Improve Sparse Bicycling Network Prediction via Reinforcement Learning Boosted Graph Neural Networks Unresolved cited work

Reference 48

Resolution
unresolved
raw_fallback, observed 2026-08-06T10:23:13.693796Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T10:23:12.996545Z digest=sha256:9f1adf7022b51c0e43a164fc0a445c6f3725e606922dda6b113e68fe4ce38980

Observation cc557b73-8c13-4649-b0f9-2c64788e92ec · outbound

This paper cites an unresolved cited work.

INSPIRE-GNN: Intelligent Sensor Placement to Improve Sparse Bicycling Network Prediction via Reinforcement Learning Boosted Graph Neural Networks Unresolved cited work

Reference 49

Resolution
unresolved
raw_fallback, observed 2026-08-06T10:23:13.675252Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T10:23:13.002500Z digest=sha256:bb81a739709e22fcac5af3f30ac7514e59ce7230ec02e4b55fc5227829019b6f

Observation 3f7899b8-fe4e-45fa-b367-1c112863019c · outbound

This paper cites an unresolved cited work.

INSPIRE-GNN: Intelligent Sensor Placement to Improve Sparse Bicycling Network Prediction via Reinforcement Learning Boosted Graph Neural Networks Unresolved cited work

Reference 50

Resolution
unresolved
raw_fallback, observed 2026-08-06T10:23:13.651886Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T10:23:13.016734Z digest=sha256:5d70894996672bf87b1d7f98cd6583c9dacda912cff20c372ba6a42294c43470

Observation aacd9b4c-e7c7-44cc-9a67-a57d7a5d40eb · outbound

This paper cites Strava Metro.

INSPIRE-GNN: Intelligent Sensor Placement to Improve Sparse Bicycling Network Prediction via Reinforcement Learning Boosted Graph Neural Networks Strava Metro

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T10:23:13.628289Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T10:23:13.023294Z digest=sha256:6bf47f5a9e5b43435972d80ca9d35f5cfa1f6c99b7d95ec60ebd575b58a0b00b

Observation fcce3ed0-d378-4027-a121-58e0f59d0269 · outbound

This paper cites an unresolved cited work.

INSPIRE-GNN: Intelligent Sensor Placement to Improve Sparse Bicycling Network Prediction via Reinforcement Learning Boosted Graph Neural Networks Unresolved cited work

Reference 52

Resolution
unresolved
raw_fallback, observed 2026-08-06T10:23:13.604643Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T10:23:13.030989Z digest=sha256:6290f29e315a295ae437bee08cec432adff652b618c07ee4ed9b113da9a5f367

Observation b6464f12-f0a3-4359-9347-f0e9953fae3a · outbound

This paper cites an unresolved cited work.

INSPIRE-GNN: Intelligent Sensor Placement to Improve Sparse Bicycling Network Prediction via Reinforcement Learning Boosted Graph Neural Networks Unresolved cited work

Reference 53

Resolution
unresolved
raw_fallback, observed 2026-08-06T10:23:13.582338Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T10:23:13.037369Z digest=sha256:dbdc7e3089ca757a5664ee0ee17db54fab4cd6c24d5ccabb4fa8a3e19e9a4f4b

Observation 6fa6ce38-5c67-4ef4-bbf7-087c30e0aec1 · outbound

This paper cites an unresolved cited work.

INSPIRE-GNN: Intelligent Sensor Placement to Improve Sparse Bicycling Network Prediction via Reinforcement Learning Boosted Graph Neural Networks Unresolved cited work

Reference 54

Resolution
unresolved
raw_fallback, observed 2026-08-06T10:23:13.561786Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T10:23:13.043324Z digest=sha256:0ccc9c5e92e2bcb7ef1f605a68dc7928afcc666489d83106736612f5ab664a00

Observation fdcaa3a4-eed5-4f6b-80e6-1bc9219f5f89 · outbound

This paper cites an unresolved cited work.

INSPIRE-GNN: Intelligent Sensor Placement to Improve Sparse Bicycling Network Prediction via Reinforcement Learning Boosted Graph Neural Networks Unresolved cited work

Reference 55

Resolution
unresolved
raw_fallback, observed 2026-08-06T10:23:13.542575Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T10:23:13.048746Z digest=sha256:6ab0bbb958629eaa26394d1e638183ba6d62bf0ad97a91038dc66522ade51d10

Observation 3ae01b14-5378-48c9-a9fd-83bf26e2ad1b · outbound

This paper cites an unresolved cited work.

INSPIRE-GNN: Intelligent Sensor Placement to Improve Sparse Bicycling Network Prediction via Reinforcement Learning Boosted Graph Neural Networks Unresolved cited work

Reference 56

Resolution
unresolved
raw_fallback, observed 2026-08-06T10:23:13.522654Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T10:23:13.054805Z digest=sha256:4f116072ffec365fdbeda4894fbf3aaf561e5bfb1bdc65f78d0f15a8a9909f1b

Observation ba23dbc5-9eb2-4f0c-9d17-523512880895 · outbound

This paper cites and Branion-Calles, M.

INSPIRE-GNN: Intelligent Sensor Placement to Improve Sparse Bicycling Network Prediction via Reinforcement Learning Boosted Graph Neural Networks and Branion-Calles, M

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T10:23:13.495739Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T10:23:13.061027Z digest=sha256:0ad0ddfa09df97b49174e68cc8473892587cd17c17b3e0ebb0bae216315d771d

Observation baeca4e1-3652-4b53-93a6-077798ea9d67 · outbound

This paper cites an unresolved cited work.

INSPIRE-GNN: Intelligent Sensor Placement to Improve Sparse Bicycling Network Prediction via Reinforcement Learning Boosted Graph Neural Networks Unresolved cited work

Reference 58

Resolution
unresolved
raw_fallback, observed 2026-08-06T10:23:13.476024Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T10:23:13.068834Z digest=sha256:10118e09b161abdfc20ca35a5f6455a2b70c6cffe3e47bdef552492ca13835f8

Observation f4e0a5bc-d411-4d38-a9b0-100373bc37bc · outbound

This paper cites an unresolved cited work.

INSPIRE-GNN: Intelligent Sensor Placement to Improve Sparse Bicycling Network Prediction via Reinforcement Learning Boosted Graph Neural Networks Unresolved cited work

Reference 59

Resolution
unresolved
raw_fallback, observed 2026-08-06T10:23:13.458635Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T10:23:13.075237Z digest=sha256:f30680db29a24cc59401ba74417da66f84de1d1c06ea87a405f7ba2376c9f52e

Observation ad6e16aa-1c24-4de4-811a-2eb032c8328c · outbound

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

INSPIRE-GNN: Intelligent Sensor Placement to Improve Sparse Bicycling Network Prediction via Reinforcement Learning Boosted Graph Neural Networks Spatio-Temporal Graph Convolutional Networks: A Deep Learning Framework for Traffic Forecasting

Reference 60

Resolution
unresolved
no resolver link, observed 2026-08-06T10:23:13.082405Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T10:23:13.082405Z digest=sha256:4da58223580243efccda925cb0cd030ce731b4c2fccea199809cc7306aa43139

Observation 13c7d1c3-57f8-44e5-992b-d114bb1a8cf7 · outbound

This paper cites GaAN: Gated Attention Networks for Learning on Large and Spatiotemporal Graphs.

INSPIRE-GNN: Intelligent Sensor Placement to Improve Sparse Bicycling Network Prediction via Reinforcement Learning Boosted Graph Neural Networks GaAN: Gated Attention Networks for Learning on Large and Spatiotemporal Graphs

Reference 61

Resolution
unresolved
no resolver link, observed 2026-08-06T10:23:13.088700Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T10:23:13.088700Z digest=sha256:f44a4be11d168e94c0fa0bb763a01bb017df813b59f79d215fbca7d127f71430

Observation fdf94ff6-ea66-4858-a03b-a560b84fa8bd · outbound

This paper cites an unresolved cited work.

INSPIRE-GNN: Intelligent Sensor Placement to Improve Sparse Bicycling Network Prediction via Reinforcement Learning Boosted Graph Neural Networks Unresolved cited work

Reference 62

Resolution
unresolved
raw_fallback, observed 2026-08-06T10:23:13.439417Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T10:23:13.095331Z digest=sha256:8b008e280ef6da3c4b39bab17280698dbc417db6d9139538ff1e15962995a6a5

Observation 4135489d-f170-48ea-866e-1e38a7b6eab6 · outbound

This paper cites an unresolved cited work.

INSPIRE-GNN: Intelligent Sensor Placement to Improve Sparse Bicycling Network Prediction via Reinforcement Learning Boosted Graph Neural Networks Unresolved cited work

Reference 63

Resolution
unresolved
raw_fallback, observed 2026-08-06T10:23:13.421627Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T10:23:13.101736Z digest=sha256:25af6919e08991b29b5ef863c857c43919824b5ccec1756e03bcb47d46f3b39a

Pith citing papers

No inbound Pith citation observations are available.