Pith. sign in

Paper Citation Record · LEDGER

Mean-field and cumulant approaches to modelling organic polariton physics

As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2405.09812.

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

pith.paper-citation-record.v1
2405.09812 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T19:58:00.429947Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-08T22:19:54.710548Z

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 4f37725d-e61d-4e05-b11c-fce401a95c12 · inbound

Towards Accurate Mixed Quantum Classical Simulations of Vibrational Polaritonic Chemistry cites this paper.

Towards Accurate Mixed Quantum Classical Simulations of Vibrational Polaritonic Chemistry Mean-field and cumulant approaches to modelling organic polariton physics

Reference 451

Resolution
metadata mismatch
local_arxiv, observed 2026-08-08T22:19:54.716532Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-08T22:19:54.643143Z digest=sha256:a8713272d1d96e6ae932621fb00f0111a5f97b88bf107d5330d261b6708a54e5

Observation 3c9e90d3-4a07-44b4-9a1b-20674f6aa6a0 · inbound

Image Segmentation with Large Language Models: A Survey with Perspectives for Intelligent Transportation Systems cites this paper.

Image Segmentation with Large Language Models: A Survey with Perspectives for Intelligent Transportation Systems Mean-field and cumulant approaches to modelling organic polariton physics

Reference 65

Resolution
unresolved
no resolver link, observed 2026-08-15T19:58:00.429947Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T19:58:00.429947Z digest=sha256:7eeee058b33a50eab75ab3c594b1bd8dc54e52ffb30650c98af959ca5176b2c4