Pith. sign in

Paper Citation Record · LEDGER

A Large Language Model for Feasible and Diverse Population Synthesis

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2505.04196.

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

pith.paper-citation-record.v1
2505.04196 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 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 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T23:42:13.704027Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

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

External citation measurements

0
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 418d6e07-4f98-472b-b097-2da8bfec8f6a · inbound

LegiGPT: Party Politics and Transport Policy with Large Language Model cites this paper.

LegiGPT: Party Politics and Transport Policy with Large Language Model A Large Language Model for Feasible and Diverse Population Synthesis

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-06T23:42:13.704027Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:42:13.704027Z digest=sha256:9f17caf89df99bedf2277e6ebbb679fcc28169ff35ec0c561ede3c6a0c46fe83

Observation cdcf2d65-a39e-4169-a2e4-8c8ee3776490 · inbound

Context-Conditioned Generative Models Enable Subnational Refinement of Sparse Humanitarian Surveys cites this paper.

Context-Conditioned Generative Models Enable Subnational Refinement of Sparse Humanitarian Surveys A Large Language Model for Feasible and Diverse Population Synthesis

Reference 16

Resolution
verified exact
arxiv_id, observed 2026-06-28T20:32:36.640985Z

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=2026-06-28T20:31:27.240707Z digest=sha256:eeacd989c139f56bdfdd32908c13027f6fb19b6bbca9ae3de1b1eef7192f405f

Observation 122b04ce-7f1c-49ac-ad6e-b63d3c9d0729 · inbound

GenWorld: Empirically Grounded Urban Simulation Infrastructure for Scalable LLM-Agent Studies cites this paper.

GenWorld: Empirically Grounded Urban Simulation Infrastructure for Scalable LLM-Agent Studies A Large Language Model for Feasible and Diverse Population Synthesis

Reference 25

Resolution
verified exact
arxiv_id, observed 2026-07-01T17:55:51.547194Z

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=2026-06-29T02:56:06.000871Z digest=sha256:cea894297fdad7df7baa6f4c1baac96a374540b77010d2f7a87e75feea295313