Paper Citation Record · LEDGER

Dissecting Larval Zebrafish Hunting using Deep Reinforcement Learning Trained RNN Agents

As of 7 August 2026, this Paper Citation Record lists 21 of 21 outbound references and 1 inbound Pith citation observation for arXiv:2510.03699.

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

pith.paper-citation-record.v1
2510.03699 v1

Coverage vector

measured 21 of 21 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-04T11:42:04.682560Z

measured 22 of 22 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-03T22:51:56.032563Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

21 of 21 outbound references displayed

verified exact5
verified fuzzy0
unresolved15
parse uncertain0
malformed identifier1
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation b9a00b2c-7080-4a42-8e63-26bdbc0cd9f7 · outbound

This paper cites 6), allowing assessment of robustness.

Dissecting Larval Zebrafish Hunting using Deep Reinforcement Learning Trained RNN Agents 6), allowing assessment of robustness

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-04T11:42:04.207022Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 51678404-e3ec-4329-9af7-04220a1eb43d · outbound

This paper cites Understanding biological active sensing behaviors by interpreting learned artificial agent policies.

Dissecting Larval Zebrafish Hunting using Deep Reinforcement Learning Trained RNN Agents Understanding biological active sensing behaviors by interpreting learned artificial agent policies

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-04T11:42:02.739859Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a6bbe28f-0c4f-4c83-8d3f-050ce752362a · outbound

This paper cites Tianwei Ni, Benjamin Eysenbach, and Ruslan Salakhutdinov.

Dissecting Larval Zebrafish Hunting using Deep Reinforcement Learning Trained RNN Agents Tianwei Ni, Benjamin Eysenbach, and Ruslan Salakhutdinov

Reference 10

Resolution: verified exact; doi, observed 2026-08-04T11:43:27.724083Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 621e8732-1722-411b-9631-0bf9cbe5cc89 · outbound

This paper cites Proximal Policy Optimization Algorithms.

Dissecting Larval Zebrafish Hunting using Deep Reinforcement Learning Trained RNN Agents Proximal Policy Optimization Algorithms

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-04T11:42:03.412197Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0755f8b4-71e4-467b-9da2-09e71cb2ad1a · outbound

This paper cites Cees J V oesenek, Remco P M Pieters, Florian T Muijres, and Johan L van Leeuwen.

Dissecting Larval Zebrafish Hunting using Deep Reinforcement Learning Trained RNN Agents Cees J V oesenek, Remco P M Pieters, Florian T Muijres, and Johan L van Leeuwen

Reference 14

Resolution: verified exact; doi, observed 2026-08-04T11:43:27.507965Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation db43a0be-af36-4926-af6c-6f45fb180eb1 · outbound

This paper cites Multi-Agent Reinforcement Learning: A Selective Overview of Theories and Algorithms.

Dissecting Larval Zebrafish Hunting using Deep Reinforcement Learning Trained RNN Agents Multi-Agent Reinforcement Learning: A Selective Overview of Theories and Algorithms

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-04T11:42:03.984192Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e0e80ca8-ff6d-42d7-8168-d8fdbd79d147 · outbound

This paper cites PMID: 39719697.

Dissecting Larval Zebrafish Hunting using Deep Reinforcement Learning Trained RNN Agents PMID: 39719697

Reference 16

Resolution: verified exact; doi, observed 2026-08-04T11:43:27.321949Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation a0a633a2-eaaa-4a10-beba-22b2ff247262 · outbound

This paper cites movement trajectory.

Dissecting Larval Zebrafish Hunting using Deep Reinforcement Learning Trained RNN Agents movement trajectory

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-04T11:42:04.338053Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 35490c1c-c9f9-4d41-8f39-7e7b2191ca1a · outbound

This paper cites an unresolved cited work.

Dissecting Larval Zebrafish Hunting using Deep Reinforcement Learning Trained RNN Agents Unresolved cited work

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-04T11:42:04.473496Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2bafc473-3fab-4448-9de3-0a094cb7ac39 · outbound

This paper cites an unresolved cited work.

Dissecting Larval Zebrafish Hunting using Deep Reinforcement Learning Trained RNN Agents Unresolved cited work

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-04T11:42:04.584120Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 53e7f2aa-494a-4345-bda7-eb5b025e313c · outbound

This paper cites an unresolved cited work.

Dissecting Larval Zebrafish Hunting using Deep Reinforcement Learning Trained RNN Agents Unresolved cited work

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-04T11:42:04.682560Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7aa7f6d9-db0f-493c-9f8e-cb123062e76f · outbound

This paper cites doi: 10.1038/nrn1949.

Dissecting Larval Zebrafish Hunting using Deep Reinforcement Learning Trained RNN Agents doi: 10.1038/nrn1949

Reference 2006

Resolution: unresolved; no resolver link, observed 2026-08-04T11:42:03.018614Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e8291253-7388-4acb-a9dd-459af5f4cc15 · outbound

This paper cites EEG-Based Brain-Computer Interfaces Are Vulnerable to Backdoor Attacks.

Dissecting Larval Zebrafish Hunting using Deep Reinforcement Learning Trained RNN Agents EEG-Based Brain-Computer Interfaces Are Vulnerable to Backdoor Attacks

Reference 2011

Resolution: unresolved; no resolver link, observed 2026-08-04T11:42:02.440661Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ddf633e0-72d7-4805-8a40-f037968dea65 · outbound

This paper cites Riley Simmons-Edler, Ryan P Badman, Felix Baastad Berg, Raymond Chua, John J Vastola, Joshua Lunger, William Qian, and Kanaka Rajan.

Dissecting Larval Zebrafish Hunting using Deep Reinforcement Learning Trained RNN Agents Riley Simmons-Edler, Ryan P Badman, Felix Baastad Berg, Raymond Chua, John J Vastola, Joshua Lunger, William Qian, and Kanaka Rajan

Reference 2014

Resolution: unresolved; no resolver link, observed 2026-08-04T11:42:03.564943Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5ef96728-d22b-4256-8186-1b4c6352c77c · outbound

This paper cites doi: 10.1016/j.cub.2017.12.002.

Dissecting Larval Zebrafish Hunting using Deep Reinforcement Learning Trained RNN Agents doi: 10.1016/j.cub.2017.12.002

Reference 2018

Resolution: verified exact; doi, observed 2026-08-04T11:43:27.891086Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation f248870c-1758-4323-815c-a2bd5a31cd85 · outbound

This paper cites doi: 10.7554/eLife.51975.

Dissecting Larval Zebrafish Hunting using Deep Reinforcement Learning Trained RNN Agents doi: 10.7554/eLife.51975

Reference 2019

Resolution: verified exact; doi, observed 2026-08-04T11:43:28.135401Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 4ce42a20-4931-4624-84fd-4128bad969d0 · outbound

This paper cites Bianco, Adam R.

Dissecting Larval Zebrafish Hunting using Deep Reinforcement Learning Trained RNN Agents Bianco, Adam R

Reference 2020

Resolution: unresolved; no resolver link, observed 2026-08-04T11:42:02.373294Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 61395ac4-aee8-4af0-aa83-5e1c47781c66 · outbound

This paper cites Learning dynamics and the geometry of neural dynamics in recurrent neural controllers.

Dissecting Larval Zebrafish Hunting using Deep Reinforcement Learning Trained RNN Agents Learning dynamics and the geometry of neural dynamics in recurrent neural controllers

Reference 2021

Resolution: unresolved; no resolver link, observed 2026-08-04T11:42:02.633965Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5d4690f8-8041-410f-90eb-a56ef5646730 · outbound

This paper cites Neuroprospecting with DeepRL agents.

Dissecting Larval Zebrafish Hunting using Deep Reinforcement Learning Trained RNN Agents Neuroprospecting with DeepRL agents

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-04T11:42:03.714074Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 73200534-ced8-4f51-bc45-6788c692eb8a · outbound

This paper cites 12.19.629427.

Dissecting Larval Zebrafish Hunting using Deep Reinforcement Learning Trained RNN Agents 12.19.629427

Reference 2024

Resolution: malformed identifier; no resolver link, observed 2026-08-04T11:42:02.930308Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 70439202-91be-4ed4-a876-10a7bb034cf1 · outbound

This paper cites Biswadeep Khan, On-Mongkol Jaesiri, Ivan P Lazarte, Yang Li, Guangnan Tian, Peixiong Zhao, Yicheng Zhao, Viet Duc Ho, and Julie L Semmelhack.

Dissecting Larval Zebrafish Hunting using Deep Reinforcement Learning Trained RNN Agents Biswadeep Khan, On-Mongkol Jaesiri, Ivan P Lazarte, Yang Li, Guangnan Tian, Peixiong Zhao, Yicheng Zhao, Viet Duc Ho, and Julie L Semmelhack

Reference 2025

Resolution: unresolved; no resolver link, observed 2026-08-04T11:42:02.841853Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation 9c2040fc-eee6-4677-b118-2e54eecfe716 · inbound

Active Electrosensing and Communication in MARL-trained Weakly Electric Fish Collectives cites this paper.

Active Electrosensing and Communication in MARL-trained Weakly Electric Fish Collectives Dissecting Larval Zebrafish Hunting using Deep Reinforcement Learning Trained RNN Agents

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-03T22:51:56.032563Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.