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Paper Citation Record · LEDGER

City-LEO: Toward Transparent City Management Using LLM with End-to-End Optimization

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2406.10958.

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

pith.paper-citation-record.v1
2406.10958 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T15:27:07.001323Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-07-01T13:35:46.180085Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 39b09146-a057-4b57-9af6-92d510971a9b · inbound

Large Language Model Powered Intelligent Urban Agents: Concepts, Capabilities, and Applications cites this paper.

Large Language Model Powered Intelligent Urban Agents: Concepts, Capabilities, and Applications City-LEO: Toward Transparent City Management Using LLM with End-to-End Optimization

Reference 66

Resolution
unresolved
no resolver link, observed 2026-08-06T21:07:10.550873Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:07:10.550873Z digest=sha256:6133f51b532f6f5756bd76d8fd8fad6fd939ab1151fe2eb73b0b8dedecec7486

Observation 250f3dc8-a1d6-49d2-a665-9eeba8a56f10 · inbound

A Survey of Optimization Modeling Meets LLMs: Progress and Future Directions cites this paper.

A Survey of Optimization Modeling Meets LLMs: Progress and Future Directions City-LEO: Toward Transparent City Management Using LLM with End-to-End Optimization

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-05T21:27:13.817951Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T21:27:13.817951Z digest=sha256:9cdefc1320cecb7bc3255c5565a1e61753dbf3ab3d9e92650fbf1d9776549f12

Observation 46279e1b-c420-48b4-95db-3da0cbc986dc · inbound

Earth Science Foundation Models: From Perception to Reasoning and Discovery cites this paper.

Earth Science Foundation Models: From Perception to Reasoning and Discovery City-LEO: Toward Transparent City Management Using LLM with End-to-End Optimization

Reference 236

Resolution
metadata mismatch
arxiv_id, observed 2026-05-14T22:08:03.294384Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-14T22:07:40.242567Z digest=sha256:edce92cc613b7329610441484f85b80ab7e54a2e8f3cefdda2919759e5f28fc7

Observation 153d49fc-03f1-4e21-8cc5-a88ad53b2340 · inbound

Earth Science Foundation Models: From Perception to Reasoning and Discovery cites this paper.

Earth Science Foundation Models: From Perception to Reasoning and Discovery City-LEO: Toward Transparent City Management Using LLM with End-to-End Optimization

Reference 236

Resolution
metadata mismatch
arxiv_id, observed 2026-07-01T13:35:46.181727Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-06-30T23:07:21.558834Z digest=sha256:690eb2cbe28eb7f3337d06a5e399fd4db9a570c5f565cfbe7a736b12e6f35448

Observation ca4356f8-a76f-4b08-ba99-e971a84c286e · inbound

Large Language Models for Operations Research: A Comprehensive Survey cites this paper.

Large Language Models for Operations Research: A Comprehensive Survey City-LEO: Toward Transparent City Management Using LLM with End-to-End Optimization

Reference 159

Resolution
verified exact
arxiv_id, observed 2026-05-21T03:59:32.584816Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-21T03:56:29.983335Z digest=sha256:b9da43fd0991e5adee742da7175f13ef0f940113b02d20c9bf840c0605397188

Observation 9e339095-3dae-4902-9e81-6c82305b5c72 · inbound

IR2Solve: Structured Intermediate Representations for Cost-Efficient Optimization Autoformulation cites this paper.

IR2Solve: Structured Intermediate Representations for Cost-Efficient Optimization Autoformulation City-LEO: Toward Transparent City Management Using LLM with End-to-End Optimization

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-15T15:27:07.001323Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T15:27:07.001323Z digest=sha256:ef2d9400b53e881b756f8cf5f2ee3023ff911f6175ff54594d18ed43f6ffa8ac