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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=sha256:55dc4f8b28a48f46236a2284a62a032d695cf6cfc12e36ec047ae978495fe512

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:fd2878a431384b9cd46444836927dad6cc8dbc85975aaca30b160f7699c94314

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:e7b3c96ff0dd0f7ae69578f51e7b0afc849efd580d0898b7d2af93ebc7026b6e

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=sha256:6b6e7ffd69d8adbfbf25f3417c1a105381ca95f77810fdff643db831fae4d5be

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=sha256:9dfe60311deb2ff479e42c379878401cf5002053a3ec7d878a12c7f90f852068

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:eeb5cb1ce34387b9785a5a7ff79e666a9946b05e945176de6d7b792200100e2f

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=sha256:6111645a091dfa0faa254b3117ae86fe50cd4c1d10d73dffdc388f081b23f802

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=sha256:901c141bd1ed1be8bc8507d0b318197ccf47e5981ae913a7127faf44cb8cbb55

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=sha256:3381dbff4b9876c2c956b2161158cd8fb0d2f6094ffd364cd483c9d53bfa387f

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=sha256:1cb04f8c732b966be1d0ab2a2167b47066fdddee6a8ab6fea063c56317dd19df

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:bb25883c9602fe666d8d1a326cd92e45cdddbbdac39916858fbff4cabb153cc4

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=sha256:62af64bd10059b2e3291c71c38dced38b4308127263e3037ba3ad31c85957f90

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=sha256:7a9a8a0623363809db44f97ee6461a16876674db9b0f1a8254ab2791c8205b7e

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:ae9f253a54da687a144b6e676aa663323eca1722a3bd1b648eb5204b951aca09

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:b90d30ebe1bb6aaed3f13bc987e6120c28186908dda222afdedb4fad58bd132d

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=sha256:99e85035e184f6b8197c48ae7aa22cbef8d7618432ed10e3d91bc52684963cbe

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=sha256:08b55d33d420d89e445bd481cd37f8e22e860c86b8b960c1f09cf9504161c9ad

Pith citing papers

No inbound Pith citation observations are available.