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Paper Citation Record · LEDGER

CellAgent: An LLM-driven Multi-Agent Framework for Automated Single-cell Data Analysis

As of 6 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 11 inbound Pith citation observations for arXiv:2407.09811.

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

pith.paper-citation-record.v1
2407.09811 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 11 of 11 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-05T06:32:48.257954+00:00

measured 11 of 11 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T09:12:17.665972Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-09T10:16:09.527729Z

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 2316f088-6774-4d5e-8adf-448890aea32d · inbound

GenoMAS: A Multi-Agent Framework for Scientific Discovery via Code-Driven Gene Expression Analysis cites this paper.

GenoMAS: A Multi-Agent Framework for Scientific Discovery via Code-Driven Gene Expression Analysis CellAgent: An LLM-driven Multi-Agent Framework for Automated Single-cell Data Analysis

Reference 137

Resolution
verified exact
arxiv_id, observed 2026-05-22T00:40:51.250293Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-22T00:37:11.945418Z digest=sha256:9c55ae4f77c01172b4f5c05efa1d37c64336e04e2dad035b940a57fae4cb9a00

Observation 05a8dea1-dbae-4811-a0d1-66abb5ee54ce · inbound

An AI system to help scientists write expert-level empirical software cites this paper.

An AI system to help scientists write expert-level empirical software CellAgent: An LLM-driven Multi-Agent Framework for Automated Single-cell Data Analysis

Reference 68

Resolution
verified exact
arxiv_id, observed 2026-05-21T22:44:24.300834Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-21T22:43:38.306922Z digest=sha256:e95b52597bb220f0d778c98d2dc4e63656c58c81868172e504142df36157ce91

Observation cbc4beda-2805-45e7-aa22-b3ea31cc94de · inbound

An AI system to help scientists write expert-level empirical software cites this paper.

An AI system to help scientists write expert-level empirical software CellAgent: An LLM-driven Multi-Agent Framework for Automated Single-cell Data Analysis

Reference 68

Resolution
verified exact
arxiv_id, observed 2026-05-22T13:24:53.383416Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-22T13:21:45.164070Z digest=sha256:2e6659491aa38b95c6808c50884b733c4d4823617b85b8bca0418cc6c09d9064

Observation 25e73f3b-92c5-443e-a603-5e008fb2ce89 · inbound

GenCellAgent: Generalizable, Training-Free Cellular Image Segmentation via Large Language Model Agents cites this paper.

GenCellAgent: Generalizable, Training-Free Cellular Image Segmentation via Large Language Model Agents CellAgent: An LLM-driven Multi-Agent Framework for Automated Single-cell Data Analysis

Reference 20

Resolution
verified exact
arxiv_id, observed 2026-05-18T07:26:03.464912Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-18T07:22:58.072356Z digest=sha256:d3abf1dfc7cbfb0d138af39adaeecdc61530ec0819581a39f244bb2c1e4fb006

Observation d14776ac-09b1-4d80-a6ac-bde84fdf5e58 · inbound

BRAINCELL-AID: An Agentic AI Created Brain Cell Type Resource for Community Annotation cites this paper.

BRAINCELL-AID: An Agentic AI Created Brain Cell Type Resource for Community Annotation CellAgent: An LLM-driven Multi-Agent Framework for Automated Single-cell Data Analysis

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-04T09:12:17.665972Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T09:12:17.665972Z digest=sha256:9e38ed68902af210392f2f9acdedb33d3766747ee120e621afac43e30f5a9db4

Observation 58c0c8c8-93ff-4221-84f2-a247ddd520b9 · inbound

Paper Circle: An Open-source Multi-agent Research Discovery and Analysis Framework cites this paper.

Paper Circle: An Open-source Multi-agent Research Discovery and Analysis Framework CellAgent: An LLM-driven Multi-Agent Framework for Automated Single-cell Data Analysis

Reference 5

Resolution
malformed identifier
arxiv_id, observed 2026-05-11T00:20:53.529601Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-10T18:35:29.920327Z digest=sha256:dbb432c720aa65d390f8ce1d70c32edb2c75e21918a74a78eb3325d9cfc499d1

Observation b02f7c95-623c-458d-8d5e-8b476d894c14 · inbound

How to Interpret Agent Behavior cites this paper.

How to Interpret Agent Behavior CellAgent: An LLM-driven Multi-Agent Framework for Automated Single-cell Data Analysis

Reference 57

Resolution
verified exact
arxiv_id, observed 2026-05-14T18:27:35.903680Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-14T18:23:25.269217Z digest=sha256:e3fc0c2daceba5c66cfb075a36db04c37d3e9caca790655ef43e26c540e76154

Observation b1a6ad77-8065-4a4e-bbaf-cd67cc95a5a5 · inbound

Beyond Prompt-Based Planning: MCP-Native Graph Planning-based Biomedical Agent System cites this paper.

Beyond Prompt-Based Planning: MCP-Native Graph Planning-based Biomedical Agent System CellAgent: An LLM-driven Multi-Agent Framework for Automated Single-cell Data Analysis

Reference 4

Resolution
verified exact
arxiv_id, observed 2026-07-02T08:06:47.926476Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-06-28T06:23:24.195973Z digest=sha256:d282a05f2338399f092444e2d2a4ba8cef980e72a93bb069bc29671b8aa12f59

Observation c2c8431d-ee12-4ccd-b2f7-bdaaefef3265 · inbound

SpaCellAgent: A Self-Evolving LLM-Based Multi-Agent Framework for Trajectory Analysis cites this paper.

SpaCellAgent: A Self-Evolving LLM-Based Multi-Agent Framework for Trajectory Analysis CellAgent: An LLM-driven Multi-Agent Framework for Automated Single-cell Data Analysis

Reference 46

Resolution
verified exact
local_arxiv, observed 2026-07-09T10:16:09.529208Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-07-09T10:11:30.807754Z digest=sha256:2fa4f5b1a857cbfbba8d7f9044d793ca26f90fe93a6e103809e343c6050ee4af

Observation ed66c673-9cd1-4be5-b28c-42ac499c997a · inbound

SCTA: An Agentic Framework for Stable and Interpretable Target Gene Discovery from Single-Cell RNA Sequencing cites this paper.

SCTA: An Agentic Framework for Stable and Interpretable Target Gene Discovery from Single-Cell RNA Sequencing CellAgent: An LLM-driven Multi-Agent Framework for Automated Single-cell Data Analysis

Reference 59

Resolution
unresolved
no resolver link, observed 2026-07-30T11:26:43.576601Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-30T11:26:43.576601Z digest=sha256:61703af824a0db94733a5329ddac56b9f83534df06366dfc555e6600731ee2ba

Observation 81de8629-9b42-4e27-a41d-ced46bc10de6 · inbound

Evaluating Agentic Bioinformatics through Function, Evidence, and Validation cites this paper.

Evaluating Agentic Bioinformatics through Function, Evidence, and Validation CellAgent: An LLM-driven Multi-Agent Framework for Automated Single-cell Data Analysis

Reference 149

Resolution
unresolved
no resolver link, observed 2026-08-01T05:48:31.839548Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T05:48:31.839548Z digest=sha256:7f5a319bb47ca75412c1756ec9516cabe7f4f045b686f83299f482986e506d39