Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-10T18:44:52.471848Z
Paper Citation Record · LEDGER
Machine Learning Surrogates for Optimizing Transportation Policies with Agent-Based Models
As of 22 August 2026, this Paper Citation Record lists 10 of 10 outbound references and 1 inbound Pith citation observation for arXiv:2501.11057.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T10:23:02.251397Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-10T05:30:23.456663Z
Reference resolution
10 of 10 outbound references displayed
- verified exact0
- verified fuzzy4
- unresolved6
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
0
pith, observed 2026-08-10T05:30:23.456663Z
Outbound references
Observation 37238eac-4a5f-41a7-87e2-b548757a1b70 · outbound
This paper cites Ogulenko, I.
Machine Learning Surrogates for Optimizing Transportation Policies with Agent-Based Models Ogulenko, I
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T18:44:52.689428Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 3947a0b6-3505-4960-aa7a-18d5dcb75837 · outbound
This paper cites Qurashi, and C.
Machine Learning Surrogates for Optimizing Transportation Policies with Agent-Based Models Qurashi, and C
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T18:44:52.669988Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation a69c8cc8-c240-48f7-91ce-b39828b4d1a5 · outbound
This paper cites Engelhardt, M.
Machine Learning Surrogates for Optimizing Transportation Policies with Agent-Based Models Engelhardt, M
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T18:44:52.648712Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 274291dd-374f-4756-91b6-7f9279d815e8 · outbound
This paper cites an unresolved cited work.
Machine Learning Surrogates for Optimizing Transportation Policies with Agent-Based Models Unresolved cited work
Reference 4
- Resolution
- unresolved
- raw_fallback, observed 2026-08-10T18:44:52.628253Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 7654e99b-e813-4fce-9419-d34261b05dda · outbound
This paper cites an unresolved cited work.
Machine Learning Surrogates for Optimizing Transportation Policies with Agent-Based Models Unresolved cited work
Reference 5
- Resolution
- unresolved
- raw_fallback, observed 2026-08-10T18:44:52.609735Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 66efc381-a13d-440d-895d-3f857c3d4250 · outbound
This paper cites an unresolved cited work.
Machine Learning Surrogates for Optimizing Transportation Policies with Agent-Based Models Unresolved cited work
Reference 6
- Resolution
- unresolved
- raw_fallback, observed 2026-08-10T18:44:52.590891Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 7578b3c1-7a5b-4003-9c37-751d92629ad1 · outbound
This paper cites Makarov, and C.
Machine Learning Surrogates for Optimizing Transportation Policies with Agent-Based Models Makarov, and C
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T18:44:52.569471Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 15a4c3f0-e2ea-4f6c-8ed3-e6ac89566e0f · outbound
This paper cites an unresolved cited work.
Machine Learning Surrogates for Optimizing Transportation Policies with Agent-Based Models Unresolved cited work
Reference 8
- Resolution
- unresolved
- raw_fallback, observed 2026-08-10T18:44:52.549337Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation f3069a5f-c3fc-48ee-bb85-d4b189c5dd32 · outbound
This paper cites , " * write output.state after.block = add.period write newline.
Machine Learning Surrogates for Optimizing Transportation Policies with Agent-Based Models , " * write output.state after.block = add.period write newline
Reference 9
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T18:44:52.466075Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b3296715-ee62-4a51-a64b-a972ebdba6a0 · outbound
This paper cites write newline.
Machine Learning Surrogates for Optimizing Transportation Policies with Agent-Based Models write newline
Reference 10
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T18:44:52.471848Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Pith citing papers
Observation 650c5f70-8477-4c03-bc73-3eed3c779cae · inbound
Machine Learning Predictions for Traffic Equilibria in Road Renovation Scheduling cites this paper.
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 2026-08-22T06:32:14.747728+00:00.