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Paper Citation Record · LEDGER

Machine Learning Predictions for Traffic Equilibria in Road Renovation Scheduling

As of 8 August 2026, this Paper Citation Record lists 19 of 19 outbound references and 0 inbound Pith citation observations for arXiv:2506.05933.

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

pith.paper-citation-record.v1
2506.05933 v1

Coverage vector

measured 19 of 19 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T10:23:02.533996Z

measured 19 of 19 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

19 of 19 outbound references displayed

  • verified exact11
  • verified fuzzy1
  • unresolved4
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch3

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation ee30a0e0-fb09-4c61-bfcc-1b3d69be6c20 · outbound

This paper cites Gazi University Journal of Science 34(3), 710– 716 (Sep 2021).

Machine Learning Predictions for Traffic Equilibria in Road Renovation Scheduling Gazi University Journal of Science 34(3), 710– 716 (Sep 2021)

Reference 1

Resolution
verified exact
doi, observed 2026-08-07T10:23:03.823533Z

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=pdf_text observed=2026-08-07T10:23:01.047296Z digest=sha256:9cbd1a022d6798e58dff1fd7797c122165f38538bba832f1b07c780b4a1c0f16

Observation 0a284246-a7b3-4c17-a260-03fc7232a7a4 · outbound

This paper cites Computer- Aided Civil and Infrastructure Engineering 33(10), 833–848 (2018).

Machine Learning Predictions for Traffic Equilibria in Road Renovation Scheduling Computer- Aided Civil and Infrastructure Engineering 33(10), 833–848 (2018)

Reference 2

Resolution
verified exact
doi, observed 2026-08-07T10:23:03.812538Z

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=pdf_text observed=2026-08-07T10:23:01.087004Z digest=sha256:778393112e8f5d4be3b1947c8919f8baa713be602b8d32a1527eafb5f6a26288

Observation c2d98094-87fe-4404-ba2a-534a1eb98f8a · outbound

This paper cites Yale University Press (1956), https://trid.trb.org/View/91120, number: 226 pp Machine Learning Predictions for Traffic Equilibria 15.

Machine Learning Predictions for Traffic Equilibria in Road Renovation Scheduling Yale University Press (1956), https://trid.trb.org/View/91120, number: 226 pp Machine Learning Predictions for Traffic Equilibria 15

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:23:04.442678Z

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=pdf_text observed=2026-08-07T10:23:01.141132Z digest=sha256:32a02a5579114e8750106c0eb97b92b1a2717f547794d84e6bddc28b9adad2fd

Observation 8b1c1823-07ce-4e58-b96e-db55257905e4 · outbound

This paper cites Transportation Science 39(4), 446–450 (2005), https://www.jstor.org/stable/25769266, publisher: INFORMS.

Machine Learning Predictions for Traffic Equilibria in Road Renovation Scheduling Transportation Science 39(4), 446–450 (2005), https://www.jstor.org/stable/25769266, publisher: INFORMS

Reference 4

Resolution
verified exact
raw_fallback, observed 2026-08-07T10:23:04.414959Z

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=pdf_text observed=2026-08-07T10:23:01.245240Z digest=sha256:26f8c3e942db569886ebbeb5a58a9cab8c2e05a79021fb9f1d63e01a25dadf69

Observation 6fbb0d56-cdfc-4625-9113-261153c4b555 · outbound

This paper cites Transportation Research Part C: Emerging Technologies 167, 104838 (Oct 2024).

Machine Learning Predictions for Traffic Equilibria in Road Renovation Scheduling Transportation Research Part C: Emerging Technologies 167, 104838 (Oct 2024)

Reference 5

Resolution
metadata mismatch
raw_fallback, observed 2026-08-07T10:23:04.329832Z

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=pdf_text observed=2026-08-07T10:23:01.354572Z digest=sha256:ca7ab3bcd941fc9d17fb725d654fc7c295234a9682f5d2786dcaff13ffb1bad3

Observation 044715b3-fa1a-41aa-b186-b5652125774e · outbound

This paper cites Computer-Aided Civil and Infrastructure En- gineering 19(6), 446–455 (2004).

Machine Learning Predictions for Traffic Equilibria in Road Renovation Scheduling Computer-Aided Civil and Infrastructure En- gineering 19(6), 446–455 (2004)

Reference 6

Resolution
verified exact
raw_fallback, observed 2026-08-07T10:23:04.261666Z

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=pdf_text observed=2026-08-07T10:23:01.431541Z digest=sha256:9de239a8c77837bdaecfbf36ad321da2e04ff3337baf9a71b50f339feadbc252

Observation 9d5fd654-05a5-4d15-a647-02cd200fb10b · outbound

This paper cites International Journal of Transportation Science and Technology 5(1), 17–27 (Aug 2016).

Machine Learning Predictions for Traffic Equilibria in Road Renovation Scheduling International Journal of Transportation Science and Technology 5(1), 17–27 (Aug 2016)

Reference 7

Resolution
verified exact
doi, observed 2026-08-07T10:23:03.685808Z

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=pdf_text observed=2026-08-07T10:23:01.464316Z digest=sha256:52abea042e2831293f7b7e16c7ff9325cb8b02e9ec4782eb1c3c820171386428

Observation 217f1cf3-44e1-4ad9-9d0b-ae8cf02fb620 · outbound

This paper cites Computer-Aided Civil and Infrastructure Engineering 34(8), 638–653 (Aug 2019).

Machine Learning Predictions for Traffic Equilibria in Road Renovation Scheduling Computer-Aided Civil and Infrastructure Engineering 34(8), 638–653 (Aug 2019)

Reference 8

Resolution
verified exact
doi, observed 2026-08-07T10:23:03.467128Z

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=pdf_text observed=2026-08-07T10:23:01.560098Z digest=sha256:169c5b4f8802ece5c151c1794a6f04a1ef40bd0db82ddad950e237f0ea0c39c5

Observation 53695960-b8da-4396-8f1f-a27394a49068 · outbound

This paper cites Transportmetrica A: Transport Science 11(1), 74–101 (Jan 2015).

Machine Learning Predictions for Traffic Equilibria in Road Renovation Scheduling Transportmetrica A: Transport Science 11(1), 74–101 (Jan 2015)

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-07T10:23:01.625192Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:23:01.625192Z digest=sha256:657653cacff3f5b8b61d798dd3a7ff52e0b1adcfca3d80c6b435b3e85cf882a4

Observation 0b2badab-89af-4be0-bb56-12f6e40d72e3 · outbound

This paper cites Transportmetrica A: Transport Science 14(4), 346–371 (Apr 2018).

Machine Learning Predictions for Traffic Equilibria in Road Renovation Scheduling Transportmetrica A: Transport Science 14(4), 346–371 (Apr 2018)

Reference 10

Resolution
verified exact
raw_fallback, observed 2026-08-07T10:23:04.102894Z

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=pdf_text observed=2026-08-07T10:23:01.708967Z digest=sha256:141054112d1806a0c989d717b0bf4424f61e2d5a2ab158a90e5a1cf195f85bde

Observation 0cd66497-f9b2-4cfd-83eb-1adcbc2b117a · outbound

This paper cites Transportation Research 9(5), 309–318 (Oct 1975).

Machine Learning Predictions for Traffic Equilibria in Road Renovation Scheduling Transportation Research 9(5), 309–318 (Oct 1975)

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-07T10:23:01.868777Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:23:01.868777Z digest=sha256:5e703bc0530c78ba900b418f13aafb7bb63cc10a7d89650c5fd24b9181c6133c

Observation 0bf048d0-c5c1-43d5-b947-42886d7d4937 · outbound

This paper cites Smart and Resilient Transportation3(2), 118–130 (Jan 2021).

Machine Learning Predictions for Traffic Equilibria in Road Renovation Scheduling Smart and Resilient Transportation3(2), 118–130 (Jan 2021)

Reference 12

Resolution
verified exact
doi, observed 2026-08-07T10:23:03.250840Z

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=pdf_text observed=2026-08-07T10:23:01.961081Z digest=sha256:819ac685e754f03bbb97412e023fbbdde3c3a8c59f6a603479ef84004984e844

Observation 0665558c-2067-4545-ae67-3faf81a2fd43 · outbound

This paper cites PLOS ONE 11(10), e0164780 (Oct 2016).

Machine Learning Predictions for Traffic Equilibria in Road Renovation Scheduling PLOS ONE 11(10), e0164780 (Oct 2016)

Reference 13

Resolution
verified exact
doi, observed 2026-08-07T10:23:03.051056Z

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=pdf_text observed=2026-08-07T10:23:02.047668Z digest=sha256:637e0f4e62f3d80b980d1bc3890edc168a54141dae1183787af441a6d5eb9284

Observation bdf0e005-6b4b-4cb7-91a1-09303aea1d15 · outbound

This paper cites Computer-Aided Civil and Infrastructure Engineering 37(4), 427–450 (2022).

Machine Learning Predictions for Traffic Equilibria in Road Renovation Scheduling Computer-Aided Civil and Infrastructure Engineering 37(4), 427–450 (2022)

Reference 14

Resolution
verified exact
doi, observed 2026-08-07T10:23:02.878469Z

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=pdf_text observed=2026-08-07T10:23:02.138494Z digest=sha256:8fd058c1a9ac58744e26b2e555a2e5af3df73202c4a2e918d7c4b708213159ed

Observation 650c5f70-8477-4c03-bc73-3eed3c779cae · outbound

This paper cites Machine Learning Surrogates for Optimizing Transportation Policies with Agent-Based Models.

Machine Learning Predictions for Traffic Equilibria in Road Renovation Scheduling Machine Learning Surrogates for Optimizing Transportation Policies with Agent-Based Models

Reference 15

Resolution
metadata mismatch
local_arxiv, observed 2026-08-07T10:23:02.677791Z

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=pdf_text observed=2026-08-07T10:23:02.251397Z digest=sha256:982fd279c820ba21b104696fab950629ec026ca91bbc06d0e03713ead23159dd

Observation 4b9e6993-275d-43da-95e5-d54f368abc51 · outbound

This paper cites Transportation Science 8(3), 203–216 (1974), https://www.jstor.org/stable/25767747, publisher: INFORMS.

Machine Learning Predictions for Traffic Equilibria in Road Renovation Scheduling Transportation Science 8(3), 203–216 (1974), https://www.jstor.org/stable/25767747, publisher: INFORMS

Reference 16

Resolution
verified exact
raw_fallback, observed 2026-08-07T10:23:04.027629Z

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=pdf_text observed=2026-08-07T10:23:02.342524Z digest=sha256:510c4694d516cd1f7ffb5ca974ed319580e852543a6b9d9452ea265b2d9bad8c

Observation 98bf0ca1-d3f8-4d97-b735-76721f228ce4 · outbound

This paper cites an unresolved cited work.

Machine Learning Predictions for Traffic Equilibria in Road Renovation Scheduling Unresolved cited work

Reference 17

Resolution
unresolved
raw_fallback, observed 2026-08-07T10:23:04.432761Z

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=pdf_text observed=2026-08-07T10:23:02.373242Z digest=sha256:cb0cb30f8a0b987c7f0c2fb4d9eb11c5cb26dc23c026843172cef6142b828bb3

Observation 7baff75b-74cb-4b74-af61-23c2564b085d · outbound

This paper cites an unresolved cited work.

Machine Learning Predictions for Traffic Equilibria in Road Renovation Scheduling Unresolved cited work

Reference 18

Resolution
unresolved
raw_fallback, observed 2026-08-07T10:23:04.423573Z

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=pdf_text observed=2026-08-07T10:23:02.438505Z digest=sha256:137359e6e569c9cc81ff4801c8bfad8fcb5ed6aa5e247b1a9fa111baba29edd3

Observation 34cba43a-5fde-4e23-aa4a-2eb90c2d235c · outbound

This paper cites IEEE Trans- actions on Intelligent Transportation Systems 15(6), 2595–2604 (Dec 2014).

Machine Learning Predictions for Traffic Equilibria in Road Renovation Scheduling IEEE Trans- actions on Intelligent Transportation Systems 15(6), 2595–2604 (Dec 2014)

Reference 19

Resolution
metadata mismatch
raw_fallback, observed 2026-08-07T10:23:03.950803Z

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=pdf_text observed=2026-08-07T10:23:02.533996Z digest=sha256:b0d9bd30283f50f3efd7f32e0d10578e5a3086b84852f47ea009cfa74dcb0b40

Pith citing papers

No inbound Pith citation observations are available.