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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 18 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 2026-08-17T06:30:58.91139+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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-06T10:23:12.605015Z digest=sha256:6672a0b63238263d62bd8eaf85f2e89d3a8b5d4dcd31e838e5af0028f8c84ffb

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=sha256:577624a9ddaaf2b2f730a0ad46b58d051795ab5ca166cb0b8444b5755078d252

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-06T10:23:12.621216Z digest=sha256:3f8497c0bc1ebf61b6df97e8a173d71535e73beffe2f737f0cdb56e93003e77d

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-06T10:23:12.628055Z digest=sha256:443923cb19c3237daf7612db451f2f31fa0b2c8a654524197d47b0d60eb16b7b

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-06T10:23:12.634834Z digest=sha256:8b024c5a5024615607769f77bbe744412e159a0050ed6b409c12a8b901fc9c2d

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-06T10:23:12.641819Z digest=sha256:952f66233ce0ea6c43da0b5584141b113af4302354228e85ad1ecbfcd824bf52

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-06T10:23:12.648661Z digest=sha256:3ef178e8edbef1880cbfdf54b63b190c6a4e3cbda35b772b43c433eb8de34baf

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:f65f6568b59a3c33f0ba7f9d4525593e4865544fb4e5924c8a93ca482fe212a5

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-06T10:23:12.661032Z digest=sha256:242bdc8990036ef71e139d26760938beadf2b032c105d0ce3a833379e0943d6d

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-06T10:23:12.666547Z digest=sha256:21ed4d4a9b05ed0e77bcd46090a95fb90a6ed64f2b05a858a68d1672d51d3010

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-06T10:23:12.672377Z digest=sha256:89c31e38792b68822914fe7e282f7315cfa23dca87dce86e8142970d396cf117

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-06T10:23:12.678804Z digest=sha256:883e052c03b2f80f38242dc85c2bee3c9cd6b017791938f76be8b9f95c610e41

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-06T10:23:12.684053Z digest=sha256:201d5dadccb297cbf24277839df1d43e1492ff6cffbe2a33edc070d5ef631bc9

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-06T10:23:12.689764Z digest=sha256:8cb175a0b05223bfa4f939824249c41c88f61ecd8af5d6c6097823292bc58b49

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-06T10:23:12.694861Z digest=sha256:18e99838b8053df2baae3794b5541dcdff4d5a7a43f2cd0712daec199faeebe5

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-06T10:23:12.700415Z digest=sha256:3e1846105655d4386e1fc007e2b7a062772e9952500e416f3848531e2b1667bf

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-06T10:23:12.705740Z digest=sha256:c967e4df24cf9934fa61bc3245c929bf2869b90763d82715c3f21c1ea7999cc3

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:dced6b93a29e2c71305719fbf027440d1c71cc84aadad9aa3f8f14be043a1c2c

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-06T10:23:12.717323Z digest=sha256:9c09364409707404fb58de7abfd115c3b8e182429d966aa908c816b0ddf6fd50

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-06T10:23:12.722678Z digest=sha256:98343ac4b674dc6e9243ce272c268b62d792d248fecb54940a157e691a4c95fd

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-06T10:23:12.728245Z digest=sha256:2598386e19288e74d60337b380c09f6a5dd905c19958991329f156b44dafb905

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-06T10:23:12.734081Z digest=sha256:655a0b249bfd2de8ed80a303a39b42eb0c7163bcd8c9553cf6bbdbd097daf806

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-06T10:23:12.740153Z digest=sha256:6352b5cf817e03a6c7f4235c2514c801daaeed48526e2e73b81e54236673f965

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-06T10:23:12.746250Z digest=sha256:70c6344643a6a5eed49be50ebfb0e5e92af6cd0b284a8444760264f0484b032b

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:a4b706c278199f8c8afa48b9fe83e463232c9dcfeca4d0132768c779b2296616

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-06T10:23:12.758121Z digest=sha256:1fd4da3ee00825769005de95cb5a8e1b3c448f1d15a77b8ca5b3bffc8fc906b4

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-06T10:23:12.764938Z digest=sha256:e53d6efb8cc5b31f63e7b93275d19caa06048b6317f82859d3eed666191fb40c

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-06T10:23:12.770658Z digest=sha256:d446dfd4840216997a045e3c2f998275b550604c219a8b7a7ae3f20c5457f86f

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-06T10:23:12.776086Z digest=sha256:880ebdf783836fd8ba1f54a0f8a04669b399c83cf7ec549fccc984449a166e0c

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-06T10:23:12.781633Z digest=sha256:58db87f293a4ff80e13ea0bea2e295c9fbae4cf560f0f57b17eeeef04fb50dab

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=sha256:55bb9574ad4f9e433aeb452eac608c9db44f8a09a49345e480d1f24a891f15a4

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-06T10:23:12.793500Z digest=sha256:e0fc123db92caaf48e59002d22022c25678c2e74163f3bda9a761689cc629c7c

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-06T10:23:12.799282Z digest=sha256:2b66c4db4304b2db8e79fc8e64e09cefae085fa199f5306165bb11b144332a76

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-06T10:23:12.805332Z digest=sha256:54c3c623e14b8f995d045036b0d7c0ae999f115c80501ea08716f6ad822ba637

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-06T10:23:12.812194Z digest=sha256:ee09d143ecaad1e326891617f7775a812ad545831cbb2159cd4822fd696f91de

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-06T10:23:12.819058Z digest=sha256:0b7b26cf7810a9f1db7d9762486328af8039b877d54005c0736944ce67c9d511

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-06T10:23:12.824959Z digest=sha256:b42ebf66815fa36f74fcc562a3a046df07fe32901ec4d59c5ecffb8708bc543f

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-06T10:23:12.830513Z digest=sha256:6c3c49d12e49810dfe41313b8e419fbf3270ae6db8b9a8fd8f082fd92dfc21be

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-06T10:23:12.835637Z digest=sha256:017ad51fa5be8d3d2782d43314171f3563a5c418cf4614b62ce60db960b45018

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-06T10:23:12.841587Z digest=sha256:b1e150ab5d1a127b115ed8e1d0912ed307b9150fac85de8c629af280a0112468

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-06T10:23:12.846909Z digest=sha256:ec6cdafed62e8091893d82f6c4ec07b2a86f35e0bf5a79296df60a404e42f82d

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-06T10:23:12.852168Z digest=sha256:0d390a8718b0df9ae5617d8153146d3897475f19d59e1dd96010343a7cff760b

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:d63f1bdf4e6ed04e359b8883c955f643dc976374d526228604a1767ba588f467

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-06T10:23:12.971069Z digest=sha256:c65d743c6f27971497e157e06a6d7aae76465cb1d7ec66772ca4c76429d88e9b

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-06T10:23:12.979838Z digest=sha256:d761cab3cc1992906d7d59112deec2d89ea5de202f895a43c760cf50b15f722d

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-06T10:23:12.985589Z digest=sha256:cef11f86b13afaf7a1eba3df74b9e926e69da3a9e6afe8c436209a4ada9a236c

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-06T10:23:12.991413Z digest=sha256:c708d7c56188f1deb45132dab7551d7259d4fab06a7ff7a0afba241f2dd37260

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-06T10:23:12.996545Z digest=sha256:9e0597ecb523cb9ef84dadd18ab30d6311edb796ca60fc324e442f370ca3e8f4

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-06T10:23:13.002500Z digest=sha256:b31ced9ac26588f641f1a29f8134ebe4045ddfdb3c0f9e937b708d0899cc0e4c

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-06T10:23:13.016734Z digest=sha256:778c935c3762ae816c07e83e064ada46fd31ddacc10b2b73af36522d26a4bbd8

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-06T10:23:13.023294Z digest=sha256:e9a0b7615b01b182c38a558bfcfa2df395bafa9e6438b84264c3335aefae4333

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-06T10:23:13.030989Z digest=sha256:7b115256302eb27621c815971a90cfc16689c9063a20b20d20afeab110e25762

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-06T10:23:13.037369Z digest=sha256:bbfb533a3e47eaed9be82f87535f96291a0e17f732e0a4795b3800cc40be498e

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-06T10:23:13.043324Z digest=sha256:70eb2a957fb6de5244813d8f6b3d32673fbd9bf9d0918a368bf65815b96ae242

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-06T10:23:13.048746Z digest=sha256:345254389070b498264ac41634bca3723494b4ac3f00a8bf86a3f071f97029dc

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-06T10:23:13.054805Z digest=sha256:ee63e0554905a3993ca4895566135434a103c7251351a5a115eb5dddb3526671

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-06T10:23:13.061027Z digest=sha256:193f21d771fc51354b687d682b8a74b57964d46aff0731833c1a7586b0953b1f

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-06T10:23:13.068834Z digest=sha256:f6ca75ac8788acd6e04837edf38adbe2acc85d62c84b492152a264c886eefce1

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-06T10:23:13.075237Z digest=sha256:6e9095591cd8b0c1c98aff915de7252b76934c4e9231feda6046d9ed6fe4c2a6

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=sha256:754937fdf77137fca79bb1c69f7c64c863659e08e04a5a15d2713dc1a1ccad6f

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=sha256:00955e4017c4e6bb596d906f9a2b320dff26124674f78686cb4601bfdc4f4ece

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-06T10:23:13.095331Z digest=sha256:f428c1a088c7eba7961c6c9463d0ee7265d5b03f07344dee8fd1ec823e281f41

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-06T10:23:13.101736Z digest=sha256:3c5335a16d89c2b1484b4397519d150629ee9601710f954ac666472b489b5b0e

Pith citing papers

No inbound Pith citation observations are available.