Pith. sign in

Paper Citation Record · LEDGER

A deep reinforcement learning model based on deterministic policy gradient for collective neural crest cell migration

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2007.03190.

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

pith.paper-citation-record.v1
2007.03190 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 2026-08-10T06:31:04.303077+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-28T07:15:46.357736Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T06:56:44.783004Z

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 209c74d1-8a3c-4829-bfc8-08468d93841b · inbound

GRAFT-ATHENA: Self-Improving Agentic Teams for Autonomous Discovery and Evolutionary Numerical Algorithms cites this paper.

GRAFT-ATHENA: Self-Improving Agentic Teams for Autonomous Discovery and Evolutionary Numerical Algorithms A deep reinforcement learning model based on deterministic policy gradient for collective neural crest cell migration

Reference 46

Resolution
verified exact
arxiv_id, observed 2026-05-13T07:07:27.404113Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-13T07:03:59.974892Z digest=sha256:f281c3e6f1f8fb6ced3473d95a361d9b12e45e633b9805d8c722184982de6812

Observation a10c0d9d-ae8b-4359-a56e-4953265f5c8f · inbound

Quantifying the biophysical properties of stomatocytes in health and disease cites this paper.

Quantifying the biophysical properties of stomatocytes in health and disease A deep reinforcement learning model based on deterministic policy gradient for collective neural crest cell migration

Reference 34

Resolution
metadata mismatch
arxiv_id, observed 2026-07-02T06:56:44.784512Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-28T07:15:46.357736Z digest=sha256:97d67d800c0ef5cb10ad4ab936f85b42428783cd88528c8e8974ce0e7841f7d6