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Paper Citation Record · LEDGER

Capacity-Aware Deep Learning for Generalizable Traffic Volume Estimation Across Links and Cities

As of 9 August 2026, this Paper Citation Record lists 17 of 17 outbound references and 0 inbound Pith citation observations for arXiv:2607.24056.

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

pith.paper-citation-record.v1
2607.24056 v1

Coverage vector

measured 17 of 17 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-31T23:12:18.489448Z

measured 17 of 17 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+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

17 of 17 outbound references displayed

  • verified exact1
  • verified fuzzy0
  • unresolved14
  • parse uncertain0
  • malformed identifier2
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation f9714617-069e-4651-aed3-35287c16ef1f · outbound

This paper cites an unresolved cited work.

Capacity-Aware Deep Learning for Generalizable Traffic Volume Estimation Across Links and Cities Unresolved cited work

Reference 1

Resolution
unresolved
no resolver link, observed 2026-07-31T23:12:17.056624Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T23:12:17.056624Z digest=sha256:e471f0f446a66bfb625692afd9836f3ef2be706eadd2dc1c5b2aa835575a1742

Observation eace3993-fee4-48b3-8f49-00b99a597b31 · outbound

This paper cites Network-wide Freeway Traffic Estimation Using Sparse Sensor Data: A Dirichlet Graph Auto-Encoder Approach.

Capacity-Aware Deep Learning for Generalizable Traffic Volume Estimation Across Links and Cities Network-wide Freeway Traffic Estimation Using Sparse Sensor Data: A Dirichlet Graph Auto-Encoder Approach

Reference 2

Resolution
unresolved
no resolver link, observed 2026-07-31T23:12:17.127589Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T23:12:17.127589Z digest=sha256:d3e04aa5eb12c607c1c7e6f337cd4258d91bf9f886ce807a49f66384106d7ff0

Observation cd8d8a8c-c3b4-4417-9ddd-7838c3fa89e7 · outbound

This paper cites an unresolved cited work.

Capacity-Aware Deep Learning for Generalizable Traffic Volume Estimation Across Links and Cities Unresolved cited work

Reference 3

Resolution
unresolved
no resolver link, observed 2026-07-31T23:12:17.229491Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T23:12:17.229491Z digest=sha256:63f3e3de18a469db56e27a4747252a9ffd6075c6dd082e2a979e231ce983edec

Observation e76abac3-724e-475f-884b-6b67d9beaad7 · outbound

This paper cites Zhang, M.

Capacity-Aware Deep Learning for Generalizable Traffic Volume Estimation Across Links and Cities Zhang, M

Reference 4

Resolution
malformed identifier
no resolver link, observed 2026-07-31T23:12:17.280518Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T23:12:17.280518Z digest=sha256:54a140595945cc07f105180e908000e5ae6319794749c68f1d587a34b5dc0d52

Observation c93cfe77-f5c2-45b6-bcc2-a5a10cd61f5b · outbound

This paper cites Anuar, F.

Capacity-Aware Deep Learning for Generalizable Traffic Volume Estimation Across Links and Cities Anuar, F

Reference 5

Resolution
verified exact
doi, observed 2026-07-31T23:15:54.722439Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-07-31T23:12:17.319158Z digest=sha256:f13f74efebf091905bc2042b4ecf837d9aabd609773f144abc1e4c6907cd69eb

Observation b937c511-451e-4c5c-b1f9-b86c69a8432e · outbound

This paper cites Gkountouna, D.

Capacity-Aware Deep Learning for Generalizable Traffic Volume Estimation Across Links and Cities Gkountouna, D

Reference 6

Resolution
unresolved
no resolver link, observed 2026-07-31T23:12:17.412464Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T23:12:17.412464Z digest=sha256:e9a591b1fe8a481a5a252e0f725a086affe0206ea7c10f5aa37fc85b80a470bf

Observation e2a0573e-b0bb-4d65-8b01-9d27e5f164de · outbound

This paper cites an unresolved cited work.

Capacity-Aware Deep Learning for Generalizable Traffic Volume Estimation Across Links and Cities Unresolved cited work

Reference 7

Resolution
malformed identifier
no resolver link, observed 2026-07-31T23:12:17.490029Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T23:12:17.490029Z digest=sha256:e9341f0bc75fe6e669f0ad8e509167607ef51fb7790e00ff3cc7fbdc0bb86901

Observation 27642e08-8c11-4bd8-aa52-2a4acdfaf36f · outbound

This paper cites Spatio-Temporal Graph Neural Networks for Predictive Learning in Urban Computing: A Survey.

Capacity-Aware Deep Learning for Generalizable Traffic Volume Estimation Across Links and Cities Spatio-Temporal Graph Neural Networks for Predictive Learning in Urban Computing: A Survey

Reference 8

Resolution
unresolved
no resolver link, observed 2026-07-31T23:12:17.546477Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T23:12:17.546477Z digest=sha256:6f3c392ac6224c6550db5016eb937ad9bd4cabb4c586b69dffd187e360d408f7

Observation 681be5ea-c66a-4052-876d-248d1d1895a8 · outbound

This paper cites an unresolved cited work.

Capacity-Aware Deep Learning for Generalizable Traffic Volume Estimation Across Links and Cities Unresolved cited work

Reference 9

Resolution
unresolved
no resolver link, observed 2026-07-31T23:12:17.630379Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T23:12:17.630379Z digest=sha256:4ffe87af7e46ae244ca96d0d6aed87ce27600113d4c855a9497bfb416542aff2

Observation 165984bc-1992-4f38-b130-01546fe6d991 · outbound

This paper cites Hammoumi, G.

Capacity-Aware Deep Learning for Generalizable Traffic Volume Estimation Across Links and Cities Hammoumi, G

Reference 10

Resolution
unresolved
no resolver link, observed 2026-07-31T23:12:17.696951Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T23:12:17.696951Z digest=sha256:c53783492f0ee37fcc81c6b77b7cfc1790d5fa4cb5e00db678b76dc8a370ed1a

Observation 0991e046-ed40-4ac9-ab67-f9484a48deaf · outbound

This paper cites Network-Wide Traffic Volume Estimation from Speed Profiles using a Spatio-Temporal Graph Neural Network with Directed Spatial Attention.

Capacity-Aware Deep Learning for Generalizable Traffic Volume Estimation Across Links and Cities Network-Wide Traffic Volume Estimation from Speed Profiles using a Spatio-Temporal Graph Neural Network with Directed Spatial Attention

Reference 11

Resolution
unresolved
no resolver link, observed 2026-07-31T23:12:17.759955Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T23:12:17.759955Z digest=sha256:e3748ed2fbb8174afe8df77079b4ae68762843c145b436e7a71b5f205c84b38d

Observation 32659ac1-d5ca-4964-b2ed-9b469fe04c8b · outbound

This paper cites Network-Wide Traffic Flow Estimation Across Multiple Cities with Global Open Multi-Source Data: A Large-Scale Case Study in Europe and North America.

Capacity-Aware Deep Learning for Generalizable Traffic Volume Estimation Across Links and Cities Network-Wide Traffic Flow Estimation Across Multiple Cities with Global Open Multi-Source Data: A Large-Scale Case Study in Europe and North America

Reference 12

Resolution
unresolved
no resolver link, observed 2026-07-31T23:12:17.843452Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T23:12:17.843452Z digest=sha256:c12b4254109791119bc0ecd720dc390fa3088dfb67ce50d107d23e948e7dff93

Observation 5e199cea-710e-43f5-8feb-104c1c817626 · outbound

This paper cites an unresolved cited work.

Capacity-Aware Deep Learning for Generalizable Traffic Volume Estimation Across Links and Cities Unresolved cited work

Reference 13

Resolution
unresolved
no resolver link, observed 2026-07-31T23:12:17.913622Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T23:12:17.913622Z digest=sha256:31997f4698676360afa9a3d7d27258cefb4640c6e43482665ebf1f02a85520f1

Observation d18937ad-0af0-4f8a-b95e-f0054876e29a · outbound

This paper cites Ouyang, Y.

Capacity-Aware Deep Learning for Generalizable Traffic Volume Estimation Across Links and Cities Ouyang, Y

Reference 14

Resolution
unresolved
no resolver link, observed 2026-07-31T23:12:17.998077Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T23:12:17.998077Z digest=sha256:cf2f1b9d678e2f8fdd86db8d0f0eebd83b357d82a3ea968126e7ac15372f07e1

Observation fc43de0a-4d08-4237-9fc5-0c0175ea275d · outbound

This paper cites an unresolved cited work.

Capacity-Aware Deep Learning for Generalizable Traffic Volume Estimation Across Links and Cities Unresolved cited work

Reference 15

Resolution
unresolved
no resolver link, observed 2026-07-31T23:12:18.173255Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T23:12:18.173255Z digest=sha256:81aa81debb43bffe6450b6be536aefb9f213da63846c44867bd7ce11e9529815

Observation a3c01111-ac9d-441b-8fb4-0ea0ac6c9b92 · outbound

This paper cites an unresolved cited work.

Capacity-Aware Deep Learning for Generalizable Traffic Volume Estimation Across Links and Cities Unresolved cited work

Reference 16

Resolution
unresolved
no resolver link, observed 2026-07-31T23:12:18.321464Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T23:12:18.321464Z digest=sha256:75e71cbcf8e61b943508e4def1daeb94c3c9c75eb87ae3ac6bccf74858503470

Observation de71f979-ef53-4a0a-bd57-5a152ea33444 · outbound

This paper cites Feldman.The GEH Measure and Quality of the Highway Assign- ment Models.

Capacity-Aware Deep Learning for Generalizable Traffic Volume Estimation Across Links and Cities Feldman.The GEH Measure and Quality of the Highway Assign- ment Models

Reference 17

Resolution
unresolved
no resolver link, observed 2026-07-31T23:12:18.489448Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T23:12:18.489448Z digest=sha256:908bce04685eb5a39dc4145cd4fb70c103a8f5711a36b6cd5cf3f5ca8a06edef

Pith citing papers

No inbound Pith citation observations are available.