Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-06-29T20:44:11.206380Z
Paper Citation Record · LEDGER
CINOC: Cardinality-Invariant Neural Operator Policies for Scalable PDE Control
As of 17 August 2026, this Paper Citation Record lists 5 of 5 outbound references and 0 inbound Pith citation observations for arXiv:2605.25867.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
5 of 5 outbound references displayed
- verified exact0
- verified fuzzy0
- unresolved2
- parse uncertain0
- malformed identifier1
- metadata mismatch2
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 131632f9-e817-4615-905d-0a0a417938c1 · outbound
This paper cites an unresolved cited work.
CINOC: Cardinality-Invariant Neural Operator Policies for Scalable PDE Control Unresolved cited work
Reference 1
- Resolution
- unresolved
- no resolver link, observed 2026-06-29T20:44:11.206380Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 52a98b94-8ba0-476b-80d5-18a0598075c6 · outbound
This paper cites Bradbury, J., Frostig, R., Hawkins, P., Johnson, M.
CINOC: Cardinality-Invariant Neural Operator Policies for Scalable PDE Control Bradbury, J., Frostig, R., Hawkins, P., Johnson, M
Reference 2
- Resolution
- unresolved
- no resolver link, observed 2026-06-29T20:44:11.206380Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7e5a7b2e-bcd5-4b2a-9b3c-69107b086da1 · outbound
This paper cites cc/paper_files/paper/2018/file/ 842424a1d0595b76ec4fa03c46e8d755-Paper.
CINOC: Cardinality-Invariant Neural Operator Policies for Scalable PDE Control cc/paper_files/paper/2018/file/ 842424a1d0595b76ec4fa03c46e8d755-Paper
Reference 3
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-06-29T20:53:57.690988Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation c4ee1119-6609-4df4-8ed3-0d9c52a498cc · outbound
This paper cites Benchmarking Multi-Agent Deep Reinforcement Learning Algorithms in Cooperative Tasks.
CINOC: Cardinality-Invariant Neural Operator Policies for Scalable PDE Control Benchmarking Multi-Agent Deep Reinforcement Learning Algorithms in Cooperative Tasks
Reference 4
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-06-29T21:03:58.925631Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 3a854840-a2d4-447b-9c3f-1d0fa03063f7 · outbound
This paper cites Local-Canonicalization Equivariant Graph Neural Networks for Sample-Efficient and Generalizable Swarm Robot Control.
CINOC: Cardinality-Invariant Neural Operator Policies for Scalable PDE Control Local-Canonicalization Equivariant Graph Neural Networks for Sample-Efficient and Generalizable Swarm Robot Control
Reference 5
- Resolution
- malformed identifier
- arxiv_id, observed 2026-08-04T01:49:12.424451Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Pith citing papers
No inbound Pith citation observations are available.