Paper Citation Record · LEDGER

Tackling Uncertainties in Multi-Agent Reinforcement Learning through Integration of Agent Termination Dynamics

As of 11 August 2026, this Paper Citation Record lists 49 of 49 outbound references and 0 inbound Pith citation observations for arXiv:2501.12061.

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

pith.paper-citation-record.v1
2501.12061 v1

Coverage vector

measured 49 of 49 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T17:39:01.446330Z

measured 49 of 49 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+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

49 of 49 outbound references displayed

verified exact2
verified fuzzy3
unresolved44
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation af8d2c8d-3318-4a29-843a-452f34f261e0 · outbound

This paper cites an unresolved cited work.

Tackling Uncertainties in Multi-Agent Reinforcement Learning through Integration of Agent Termination Dynamics Unresolved cited work

Reference 1

Resolution: unresolved; raw_fallback, observed 2026-08-10T17:39:02.194864Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 96ae3dbe-cf41-4022-ab08-ee87584d98a7 · outbound

This paper cites Albrecht, Filippos Christianos, and Lukas Schäfer.

Tackling Uncertainties in Multi-Agent Reinforcement Learning through Integration of Agent Termination Dynamics Albrecht, Filippos Christianos, and Lukas Schäfer

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:39:02.183958Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation ef7c38d3-fad0-425d-8950-f63112a46a09 · outbound

This paper cites an unresolved cited work.

Tackling Uncertainties in Multi-Agent Reinforcement Learning through Integration of Agent Termination Dynamics Unresolved cited work

Reference 3

Resolution: unresolved; raw_fallback, observed 2026-08-10T17:39:02.171106Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation e325378b-4a77-410b-a8ac-4e5c7a785ea6 · outbound

This paper cites an unresolved cited work.

Tackling Uncertainties in Multi-Agent Reinforcement Learning through Integration of Agent Termination Dynamics Unresolved cited work

Reference 4

Resolution: unresolved; raw_fallback, observed 2026-08-10T17:39:02.155297Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation f1aa9c43-ebd6-46c8-ac82-ea0bfe844c59 · outbound

This paper cites an unresolved cited work.

Tackling Uncertainties in Multi-Agent Reinforcement Learning through Integration of Agent Termination Dynamics Unresolved cited work

Reference 5

Resolution: unresolved; raw_fallback, observed 2026-08-10T17:39:02.140207Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 639e9000-77fb-4369-b5ef-382a734154f4 · outbound

This paper cites an unresolved cited work.

Tackling Uncertainties in Multi-Agent Reinforcement Learning through Integration of Agent Termination Dynamics Unresolved cited work

Reference 6

Resolution: unresolved; raw_fallback, observed 2026-08-10T17:39:02.126998Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 7ab2bd2e-b02a-454a-b4c9-b50510014b85 · outbound

This paper cites an unresolved cited work.

Tackling Uncertainties in Multi-Agent Reinforcement Learning through Integration of Agent Termination Dynamics Unresolved cited work

Reference 7

Resolution: unresolved; raw_fallback, observed 2026-08-10T17:39:02.110310Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 21635c91-60e9-4618-b278-f4bdbae8aa41 · outbound

This paper cites an unresolved cited work.

Tackling Uncertainties in Multi-Agent Reinforcement Learning through Integration of Agent Termination Dynamics Unresolved cited work

Reference 8

Resolution: unresolved; raw_fallback, observed 2026-08-10T17:39:02.094688Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 5221f033-6665-4142-8174-36d67e32a470 · outbound

This paper cites an unresolved cited work.

Tackling Uncertainties in Multi-Agent Reinforcement Learning through Integration of Agent Termination Dynamics Unresolved cited work

Reference 9

Resolution: unresolved; raw_fallback, observed 2026-08-10T17:39:02.080965Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation e0584aab-e951-4a55-ba3d-4722dbde76dc · outbound

This paper cites an unresolved cited work.

Tackling Uncertainties in Multi-Agent Reinforcement Learning through Integration of Agent Termination Dynamics Unresolved cited work

Reference 10

Resolution: unresolved; raw_fallback, observed 2026-08-10T17:39:02.067992Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation d0606e34-004e-427b-9db7-b06074b89dfe · outbound

This paper cites Safe Multi-Agent Reinforcement Learning via Shielding.

Tackling Uncertainties in Multi-Agent Reinforcement Learning through Integration of Agent Termination Dynamics Safe Multi-Agent Reinforcement Learning via Shielding

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-10T17:39:01.233317Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0fe921c5-655c-4a75-ae77-c134d0a7f534 · outbound

This paper cites an unresolved cited work.

Tackling Uncertainties in Multi-Agent Reinforcement Learning through Integration of Agent Termination Dynamics Unresolved cited work

Reference 12

Resolution: unresolved; raw_fallback, observed 2026-08-10T17:39:02.054647Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation ff412053-314b-4ecd-86ec-b11c1e52c278 · outbound

This paper cites an unresolved cited work.

Tackling Uncertainties in Multi-Agent Reinforcement Learning through Integration of Agent Termination Dynamics Unresolved cited work

Reference 13

Resolution: unresolved; raw_fallback, observed 2026-08-10T17:39:02.038711Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 37e735cb-ff78-4505-bc3b-e50e415ff22f · outbound

This paper cites an unresolved cited work.

Tackling Uncertainties in Multi-Agent Reinforcement Learning through Integration of Agent Termination Dynamics Unresolved cited work

Reference 14

Resolution: unresolved; raw_fallback, observed 2026-08-10T17:39:02.026907Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 3ff95755-7a63-46ca-be79-fa1459790225 · outbound

This paper cites an unresolved cited work.

Tackling Uncertainties in Multi-Agent Reinforcement Learning through Integration of Agent Termination Dynamics Unresolved cited work

Reference 15

Resolution: unresolved; raw_fallback, observed 2026-08-10T17:39:02.001386Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 39fd2f22-074b-4947-9e9b-61e8d8fa0001 · outbound

This paper cites an unresolved cited work.

Tackling Uncertainties in Multi-Agent Reinforcement Learning through Integration of Agent Termination Dynamics Unresolved cited work

Reference 16

Resolution: unresolved; raw_fallback, observed 2026-08-10T17:39:01.988109Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation f082a871-6b3f-4b7d-b4fd-96221e51d0d0 · outbound

This paper cites MetaDrive: Composing Diverse Driving Scenarios for Generalizable Reinforcement Learning.

Tackling Uncertainties in Multi-Agent Reinforcement Learning through Integration of Agent Termination Dynamics MetaDrive: Composing Diverse Driving Scenarios for Generalizable Reinforcement Learning

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-10T17:39:01.276077Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation afeb28ec-cde3-4ce5-adf8-3c964e89fcee · outbound

This paper cites an unresolved cited work.

Tackling Uncertainties in Multi-Agent Reinforcement Learning through Integration of Agent Termination Dynamics Unresolved cited work

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-10T17:39:01.289051Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 01ddabfc-e9fd-4ff1-8f36-839691e76994 · outbound

This paper cites an unresolved cited work.

Tackling Uncertainties in Multi-Agent Reinforcement Learning through Integration of Agent Termination Dynamics Unresolved cited work

Reference 19

Resolution: unresolved; raw_fallback, observed 2026-08-10T17:39:01.968434Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 0345fbca-6860-4fea-8a5c-cdc878628ac3 · outbound

This paper cites an unresolved cited work.

Tackling Uncertainties in Multi-Agent Reinforcement Learning through Integration of Agent Termination Dynamics Unresolved cited work

Reference 20

Resolution: unresolved; raw_fallback, observed 2026-08-10T17:39:01.956406Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation abfd7669-d5c3-4a6e-b173-05bc7842f062 · outbound

This paper cites Toward Risk-based Optimistic Exploration for Cooperative Multi-Agent Reinforcement Learning.

Tackling Uncertainties in Multi-Agent Reinforcement Learning through Integration of Agent Termination Dynamics Toward Risk-based Optimistic Exploration for Cooperative Multi-Agent Reinforcement Learning

Reference 21

Resolution: verified exact; local_arxiv, observed 2026-08-10T17:39:01.652933Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 4a41c414-417a-42f8-bc4a-5f3c01bb2559 · outbound

This paper cites Risk Perspective Exploration in Distributional Reinforcement Learning.

Tackling Uncertainties in Multi-Agent Reinforcement Learning through Integration of Agent Termination Dynamics Risk Perspective Exploration in Distributional Reinforcement Learning

Reference 22

Resolution: verified exact; local_arxiv, observed 2026-08-10T17:39:01.609836Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 9d8999b8-10c0-49d3-b33a-1b5ec113884d · outbound

This paper cites an unresolved cited work.

Tackling Uncertainties in Multi-Agent Reinforcement Learning through Integration of Agent Termination Dynamics Unresolved cited work

Reference 23

Resolution: unresolved; raw_fallback, observed 2026-08-10T17:39:01.942286Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 408f81f4-d12b-4dc5-a5c6-700b24d2b82f · outbound

This paper cites Learning Safe Multi-Agent Control with Decentralized Neural Barrier Certificates.

Tackling Uncertainties in Multi-Agent Reinforcement Learning through Integration of Agent Termination Dynamics Learning Safe Multi-Agent Control with Decentralized Neural Barrier Certificates

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-10T17:39:01.325378Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 35e79635-d167-459d-9e0d-df839bf65948 · outbound

This paper cites an unresolved cited work.

Tackling Uncertainties in Multi-Agent Reinforcement Learning through Integration of Agent Termination Dynamics Unresolved cited work

Reference 25

Resolution: unresolved; raw_fallback, observed 2026-08-10T17:39:01.926001Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 0cbef2d9-8a46-40db-a33c-95d0fbf45a7d · outbound

This paper cites an unresolved cited work.

Tackling Uncertainties in Multi-Agent Reinforcement Learning through Integration of Agent Termination Dynamics Unresolved cited work

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-10T17:39:01.334878Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 43734a8e-eeb1-4b99-a29a-ce112dea82e0 · outbound

This paper cites an unresolved cited work.

Tackling Uncertainties in Multi-Agent Reinforcement Learning through Integration of Agent Termination Dynamics Unresolved cited work

Reference 27

Resolution: unresolved; raw_fallback, observed 2026-08-10T17:39:01.905816Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation f0743e44-4289-43de-bb02-a4d626c5d0e7 · outbound

This paper cites The StarCraft Multi-Agent Challenge.

Tackling Uncertainties in Multi-Agent Reinforcement Learning through Integration of Agent Termination Dynamics The StarCraft Multi-Agent Challenge

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-10T17:39:01.344486Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 07ff39bb-71d8-4445-ad5b-7e5d62e0eafb · outbound

This paper cites an unresolved cited work.

Tackling Uncertainties in Multi-Agent Reinforcement Learning through Integration of Agent Termination Dynamics Unresolved cited work

Reference 29

Resolution: unresolved; raw_fallback, observed 2026-08-10T17:39:01.893451Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 7ffe491c-24f6-4018-a657-62d35e4e7ae5 · outbound

This paper cites an unresolved cited work.

Tackling Uncertainties in Multi-Agent Reinforcement Learning through Integration of Agent Termination Dynamics Unresolved cited work

Reference 30

Resolution: unresolved; raw_fallback, observed 2026-08-10T17:39:01.880743Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 62e10599-6749-4330-9bc4-0ccd741c3899 · outbound

This paper cites an unresolved cited work.

Tackling Uncertainties in Multi-Agent Reinforcement Learning through Integration of Agent Termination Dynamics Unresolved cited work

Reference 31

Resolution: unresolved; raw_fallback, observed 2026-08-10T17:39:01.869848Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 65d068b0-72e6-4a16-bf3d-9bcd2bada7b6 · outbound

This paper cites an unresolved cited work.

Tackling Uncertainties in Multi-Agent Reinforcement Learning through Integration of Agent Termination Dynamics Unresolved cited work

Reference 32

Resolution: unresolved; raw_fallback, observed 2026-08-10T17:39:01.857864Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 1db476b7-f7a3-458c-92a6-1f7da00f8866 · outbound

This paper cites an unresolved cited work.

Tackling Uncertainties in Multi-Agent Reinforcement Learning through Integration of Agent Termination Dynamics Unresolved cited work

Reference 33

Resolution: unresolved; raw_fallback, observed 2026-08-10T17:39:01.846654Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation e67f9069-607b-46e4-959e-c9263aa56009 · outbound

This paper cites an unresolved cited work.

Tackling Uncertainties in Multi-Agent Reinforcement Learning through Integration of Agent Termination Dynamics Unresolved cited work

Reference 34

Resolution: unresolved; raw_fallback, observed 2026-08-10T17:39:01.834176Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 00048d1d-ab03-455e-afdc-46d37c3d79d3 · outbound

This paper cites an unresolved cited work.

Tackling Uncertainties in Multi-Agent Reinforcement Learning through Integration of Agent Termination Dynamics Unresolved cited work

Reference 35

Resolution: unresolved; raw_fallback, observed 2026-08-10T17:39:01.821821Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 2a43e493-0b47-4746-ae8b-4dc4bb93e3ba · outbound

This paper cites an unresolved cited work.

Tackling Uncertainties in Multi-Agent Reinforcement Learning through Integration of Agent Termination Dynamics Unresolved cited work

Reference 36

Resolution: unresolved; raw_fallback, observed 2026-08-10T17:39:01.809750Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation f3417632-e062-47fe-b44a-c072ca2453d1 · outbound

This paper cites an unresolved cited work.

Tackling Uncertainties in Multi-Agent Reinforcement Learning through Integration of Agent Termination Dynamics Unresolved cited work

Reference 37

Resolution: unresolved; raw_fallback, observed 2026-08-10T17:39:01.796896Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 7ea02ec1-ca21-41dc-a9b4-85a8a0e3cd85 · outbound

This paper cites Value-Decomposition Networks For Cooperative Multi-Agent Learning.

Tackling Uncertainties in Multi-Agent Reinforcement Learning through Integration of Agent Termination Dynamics Value-Decomposition Networks For Cooperative Multi-Agent Learning

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-10T17:39:01.390812Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5e974349-a396-43dc-99e1-10a9b2e01f5f · outbound

This paper cites an unresolved cited work.

Tackling Uncertainties in Multi-Agent Reinforcement Learning through Integration of Agent Termination Dynamics Unresolved cited work

Reference 39

Resolution: unresolved; raw_fallback, observed 2026-08-10T17:39:01.784206Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 222a063b-9bfb-4738-93ae-322fbad7d6c6 · outbound

This paper cites QPLEX: Duplex Dueling Multi-Agent Q-Learning.

Tackling Uncertainties in Multi-Agent Reinforcement Learning through Integration of Agent Termination Dynamics QPLEX: Duplex Dueling Multi-Agent Q-Learning

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-10T17:39:01.404995Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1d95c8e8-811c-46c7-ba69-134a1008d376 · outbound

This paper cites an unresolved cited work.

Tackling Uncertainties in Multi-Agent Reinforcement Learning through Integration of Agent Termination Dynamics Unresolved cited work

Reference 41

Resolution: unresolved; raw_fallback, observed 2026-08-10T17:39:01.751483Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 9c4aa8bc-0d38-4e6a-9751-2d5ca73392fe · outbound

This paper cites an unresolved cited work.

Tackling Uncertainties in Multi-Agent Reinforcement Learning through Integration of Agent Termination Dynamics Unresolved cited work

Reference 42

Resolution: unresolved; raw_fallback, observed 2026-08-10T17:39:01.733016Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 5d0aa6d2-9d3b-49e6-b5af-783d148219d3 · outbound

This paper cites an unresolved cited work.

Tackling Uncertainties in Multi-Agent Reinforcement Learning through Integration of Agent Termination Dynamics Unresolved cited work

Reference 43

Resolution: unresolved; raw_fallback, observed 2026-08-10T17:39:01.719354Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 29ad849b-c566-4ce6-aad5-ddf4e4e1d454 · outbound

This paper cites Qatten: A General Framework for Cooperative Multiagent Reinforcement Learning.

Tackling Uncertainties in Multi-Agent Reinforcement Learning through Integration of Agent Termination Dynamics Qatten: A General Framework for Cooperative Multiagent Reinforcement Learning

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-10T17:39:01.425865Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 79dd7a53-5d22-432f-818f-90234eaac423 · outbound

This paper cites an unresolved cited work.

Tackling Uncertainties in Multi-Agent Reinforcement Learning through Integration of Agent Termination Dynamics Unresolved cited work

Reference 45

Resolution: unresolved; raw_fallback, observed 2026-08-10T17:39:01.705506Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation ab20f469-0b5e-429c-918b-e8498bfb39f6 · outbound

This paper cites an unresolved cited work.

Tackling Uncertainties in Multi-Agent Reinforcement Learning through Integration of Agent Termination Dynamics Unresolved cited work

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-10T17:39:01.440241Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3b455e44-8963-417c-a164-4da7f8a5214a · outbound

This paper cites MAMPS: Safe Multi-Agent Reinforcement Learning via Model Predictive Shielding.

Tackling Uncertainties in Multi-Agent Reinforcement Learning through Integration of Agent Termination Dynamics MAMPS: Safe Multi-Agent Reinforcement Learning via Model Predictive Shielding

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-10T17:39:01.446330Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 94a639b0-58e8-4c59-977d-15ae351b413f · outbound

This paper cites Advances in Neural Information Processing Systems 34 (2021), 29142– 29155.

Tackling Uncertainties in Multi-Agent Reinforcement Learning through Integration of Agent Termination Dynamics Advances in Neural Information Processing Systems 34 (2021), 29142– 29155

Reference 2021

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:39:01.769957Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation f426fa6a-8758-48a0-b23e-3b32875e5dcf · outbound

This paper cites Advances in Neural Information Processing Systems 35 (2022), 12619–12632.

Tackling Uncertainties in Multi-Agent Reinforcement Learning through Integration of Agent Termination Dynamics Advances in Neural Information Processing Systems 35 (2022), 12619–12632

Reference 2022

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:39:02.013410Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Pith citing papers

No inbound Pith citation observations are available.