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Paper Citation Record · LEDGER

Quantifying Fish School Fragmentation under Predation Using Stochastic Differential Equations

As of 8 August 2026, this Paper Citation Record lists 1 of 1 outbound references and 4 inbound Pith citation observations for arXiv:2508.00953.

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

pith.paper-citation-record.v1
2508.00953 v1

Coverage vector

measured 1 of 1 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T10:17:44.444398Z

measured 5 of 5 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 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T22:40:01.351879Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-14T21:43:00.493690Z

Reference resolution

1 of 1 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation d3045264-0575-4bc7-aa9b-c2334c50e2ca · outbound

This paper cites Investigating Crossing Perception in 3D Graph Visualisation.

Quantifying Fish School Fragmentation under Predation Using Stochastic Differential Equations Investigating Crossing Perception in 3D Graph Visualisation

Reference 1

Resolution
metadata mismatch
local_arxiv, observed 2026-08-06T10:17:44.476872Z

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=2026-08-06T10:17:44.444398Z digest=sha256:1a7194dee945a971d9a25b2cc70ddecbb8b3328237201b2a5a673634aa337c45

Pith citing papers

Observation 45bc3ccd-e6da-4a59-82c7-fc7e14fc2da6 · inbound

Mathematical Models for Fish Schooling cites this paper.

Mathematical Models for Fish Schooling Quantifying Fish School Fragmentation under Predation Using Stochastic Differential Equations

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-05T22:40:01.351879Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T22:40:01.351879Z digest=sha256:9880c40dced11ea02d99628beefa7774c65a1455a762e9f0ec95738a88007f05

Observation 3a7ef812-c287-48a1-bba0-ef2549464e54 · inbound

Deep Learning for Automated Identification of Vietnamese Timber Species: A Tool for Ecological Monitoring and Conservation cites this paper.

Deep Learning for Automated Identification of Vietnamese Timber Species: A Tool for Ecological Monitoring and Conservation Quantifying Fish School Fragmentation under Predation Using Stochastic Differential Equations

Reference 62

Resolution
unresolved
no resolver link, observed 2026-08-05T21:04:08.976734Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T21:04:08.976734Z digest=sha256:02c0cb503179c58e30c51c0315e20eb99516688dc977c0a8a71e8976242f5c67

Observation 99e0d189-76a0-4274-ad00-26630f3b41d7 · inbound

Towards High-Fidelity and Controllable Bioacoustic Generation via Enhanced Diffusion Learning cites this paper.

Towards High-Fidelity and Controllable Bioacoustic Generation via Enhanced Diffusion Learning Quantifying Fish School Fragmentation under Predation Using Stochastic Differential Equations

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-05T13:49:02.146070Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T13:49:02.146070Z digest=sha256:d40d340acf2acd83ba1d316359aa0aa3d506ef56fd2a277d322ee5fcdcfd9551

Observation a8ad2afa-3c10-401f-a347-c5d8704b8836 · inbound

BioSEN: A Bio-acoustic Signal Enhancement Network for Animal Vocalizations cites this paper.

BioSEN: A Bio-acoustic Signal Enhancement Network for Animal Vocalizations Quantifying Fish School Fragmentation under Predation Using Stochastic Differential Equations

Reference 25

Resolution
verified exact
arxiv_id, observed 2026-05-14T21:43:00.495973Z

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=2026-05-14T21:41:52.537887Z digest=sha256:bb48ee207fef19658c0e8f29fc0afaaa6f7dc9605234d13d87b85bdbc5bb2412