Paper Citation Record · LEDGER

PRiMeFlow: Capturing Complex Expression Heterogeneity in Perturbation Response Modelling

As of 5 August 2026, this Paper Citation Record lists 17 of 17 outbound references and 0 inbound Pith citation observations for arXiv:2604.13986.

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

pith.paper-citation-record.v1
2604.13986 v2

Coverage vector

measured 17 of 17 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-11T11:50:26.030339Z

measured 17 of 17 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-04T06:34:03.388597+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

17 of 17 outbound references displayed

verified exact9
verified fuzzy5
unresolved1
parse uncertain0
malformed identifier0
metadata mismatch2

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 1a5c0128-1345-4644-8bfe-8f6899311bba · outbound

This paper cites an unresolved cited work.

PRiMeFlow: Capturing Complex Expression Heterogeneity in Perturbation Response Modelling Unresolved cited work

Reference 1

Resolution: unresolved; raw_fallback, observed 2026-05-15T13:05:39.285071Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 947f4621-06c8-4546-82a3-142a51bd522b · outbound

This paper cites Stochastic Interpolants: A Unifying Framework for Flows and Diffusions.

PRiMeFlow: Capturing Complex Expression Heterogeneity in Perturbation Response Modelling Stochastic Interpolants: A Unifying Framework for Flows and Diffusions

Reference 2

Resolution: verified exact; local_arxiv, observed 2026-05-14T20:57:59.272754Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation f4ed737a-ee0b-43f1-9796-56ee965ba09a · outbound

This paper cites Jump cell painting dataset: morphological impact of 136,000 chemical and genetic perturbations.BioRxiv, pp.

PRiMeFlow: Capturing Complex Expression Heterogeneity in Perturbation Response Modelling Jump cell painting dataset: morphological impact of 136,000 chemical and genetic perturbations.BioRxiv, pp

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T13:05:39.281576Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation d8cbfa30-3e01-472d-9fcd-b1438de0c1bd · outbound

This paper cites Virtual cells need context, not just scale.bioRxiv, pp.

PRiMeFlow: Capturing Complex Expression Heterogeneity in Perturbation Response Modelling Virtual cells need context, not just scale.bioRxiv, pp

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T13:05:39.288684Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 7cebf8de-bed7-45fe-a2d2-e583295897a8 · outbound

This paper cites Stack: In-context learning of single-cell biology.bioRxiv, pp.

PRiMeFlow: Capturing Complex Expression Heterogeneity in Perturbation Response Modelling Stack: In-context learning of single-cell biology.bioRxiv, pp

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T13:05:39.300114Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 604ebe00-645b-4ef2-abc3-f732ce241a37 · outbound

This paper cites Perceiver IO: A General Architecture for Structured Inputs & Outputs.

PRiMeFlow: Capturing Complex Expression Heterogeneity in Perturbation Response Modelling Perceiver IO: A General Architecture for Structured Inputs & Outputs

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-05-15T19:47:14.368858Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 8bbe49f6-2168-428e-85b0-6d908895e079 · outbound

This paper cites Systematic reconstruction of molecular pathway signatures using scalable single-cell perturbation screens.bioRxiv, pp.

PRiMeFlow: Capturing Complex Expression Heterogeneity in Perturbation Response Modelling Systematic reconstruction of molecular pathway signatures using scalable single-cell perturbation screens.bioRxiv, pp

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T13:05:39.296573Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 494da649-8b93-4997-8726-47212e17795a · outbound

This paper cites an unresolved cited work.

PRiMeFlow: Capturing Complex Expression Heterogeneity in Perturbation Response Modelling Unresolved cited work

Reference 8

Resolution: verified exact; doi, observed 2026-05-14T20:57:58.636587Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation ed7df688-2f76-4b53-afe1-7c3a77aea3c9 · outbound

This paper cites Flow Matching for Generative Modeling.

PRiMeFlow: Capturing Complex Expression Heterogeneity in Perturbation Response Modelling Flow Matching for Generative Modeling

Reference 9

Resolution: verified exact; local_arxiv, observed 2026-05-14T20:57:59.246034Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 361c66f6-e16a-48f1-bcb6-851306c9abfc · outbound

This paper cites Gene-embedding-based prediction and functional evaluation of perturbation expression responses with presage.

PRiMeFlow: Capturing Complex Expression Heterogeneity in Perturbation Response Modelling Gene-embedding-based prediction and functional evaluation of perturbation expression responses with presage

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T13:05:39.292473Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation e520ad08-75a4-43a6-84b9-2afe2b0dbfb6 · outbound

This paper cites Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified Flow.

PRiMeFlow: Capturing Complex Expression Heterogeneity in Perturbation Response Modelling Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified Flow

Reference 11

Resolution: verified exact; local_arxiv, observed 2026-05-14T20:57:59.235801Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 248bfd04-8be5-43ae-abe8-1f46aab27530 · outbound

This paper cites Scalable Single-Cell Gene Expression Generation with Latent Diffusion Models.

PRiMeFlow: Capturing Complex Expression Heterogeneity in Perturbation Response Modelling Scalable Single-Cell Gene Expression Generation with Latent Diffusion Models

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-06-03T02:05:11.169783Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 1a308501-0115-4025-9254-0c8b78c1949d · outbound

This paper cites PyTorch: An Imperative Style, High-Performance Deep Learning Library.

PRiMeFlow: Capturing Complex Expression Heterogeneity in Perturbation Response Modelling PyTorch: An Imperative Style, High-Performance Deep Learning Library

Reference 14

Resolution: metadata mismatch; local_arxiv, observed 2026-05-14T20:57:59.259648Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation ced459f8-a19e-4905-88db-f86b017a5ab9 · outbound

This paper cites Toward AI-Driven Digital Organism: Multiscale Foundation Models for Predicting, Simulating and Programming Biology at All Levels.

PRiMeFlow: Capturing Complex Expression Heterogeneity in Perturbation Response Modelling Toward AI-Driven Digital Organism: Multiscale Foundation Models for Predicting, Simulating and Programming Biology at All Levels

Reference 15

Resolution: verified exact; arxiv_id, observed 2026-05-14T20:57:59.254435Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 473bd406-1602-4d37-b678-541d03c05ad1 · outbound

This paper cites Improving and generalizing flow-based generative models with minibatch optimal transport.

PRiMeFlow: Capturing Complex Expression Heterogeneity in Perturbation Response Modelling Improving and generalizing flow-based generative models with minibatch optimal transport

Reference 16

Resolution: metadata mismatch; local_arxiv, observed 2026-05-14T20:57:58.640264Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation ddae6612-5de9-478b-968d-36bb28c0ba1a · outbound

This paper cites Perturbench: Benchmarking machine learning models for cellular perturbation analysis.arXiv preprint arXiv:2408.10609.

PRiMeFlow: Capturing Complex Expression Heterogeneity in Perturbation Response Modelling Perturbench: Benchmarking machine learning models for cellular perturbation analysis.arXiv preprint arXiv:2408.10609

Reference 17

Resolution: verified exact; arxiv_id, observed 2026-05-14T20:57:59.241505Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 400cc4e1-d46f-4b37-af59-480d7dd44308 · outbound

This paper cites URL http://dx.doi.org/10.1101/2025.02.20.639398.

PRiMeFlow: Capturing Complex Expression Heterogeneity in Perturbation Response Modelling URL http://dx.doi.org/10.1101/2025.02.20.639398

Reference 18

Resolution: verified exact; doi, observed 2026-05-14T20:57:58.643421Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Pith citing papers

No inbound Pith citation observations are available.