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Paper Citation Record · LEDGER

On permutation-invariant neural networks

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 10 inbound Pith citation observations for arXiv:2403.17410.

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

pith.paper-citation-record.v1
2403.17410 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 10 of 10 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 10 of 10 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T15:13:32.332311Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-01T19:16:01.103273Z

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 a6172c01-7783-49d0-a90e-e05247286d92 · inbound

Learning Set Functions with Implicit Differentiation cites this paper.

Learning Set Functions with Implicit Differentiation On permutation-invariant neural networks

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-11T15:13:32.332311Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T15:13:32.332311Z digest=sha256:fe82cb65e88f9f49d506142f9103ad148659c0aa5859b59d00b9d8100c7e8d9f

Observation fcbc7cb7-0809-4697-87fb-5b5ef3f12525 · inbound

Advances in Set Function Learning: A Survey of Techniques and Applications cites this paper.

Advances in Set Function Learning: A Survey of Techniques and Applications On permutation-invariant neural networks

Reference 57

Resolution
unresolved
no resolver link, observed 2026-08-10T14:47:38.142580Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T14:47:38.142580Z digest=sha256:62a97595c9dca52687bb4da91f578142558539b528a80a649c7cd9901e4c9312

Observation 24c53066-4d2d-42ad-a2a5-6428b08d851c · inbound

Vision and Language Reference Prompt into SAM for Few-shot Segmentation cites this paper.

Vision and Language Reference Prompt into SAM for Few-shot Segmentation On permutation-invariant neural networks

Reference 49

Resolution
unresolved
no resolver link, observed 2026-08-09T18:01:18.100193Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T18:01:18.100193Z digest=sha256:d1b933a9f0a28d11cd5c1333ae3e91d61a70464bf35f3dab32b5f167e0c56a18

Observation ccb4072d-a6d5-4d74-9ac9-ac5418b07213 · inbound

Neural Concept Verifier: Scaling Prover-Verifier Games via Concept Encodings cites this paper.

Neural Concept Verifier: Scaling Prover-Verifier Games via Concept Encodings On permutation-invariant neural networks

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-06T18:45:20.540578Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T18:45:20.540578Z digest=sha256:0dc43b7513cd3c1cf487f2362988099e8c3689467a8c5eeb15e212417445ccea

Observation 3c588a23-ca86-4f70-8455-b0d6b678c8ea · inbound

Scalable Single-Cell Gene Expression Generation with Latent Diffusion Models cites this paper.

Scalable Single-Cell Gene Expression Generation with Latent Diffusion Models On permutation-invariant neural networks

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-04T00:05:57.002207Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T00:05:57.002207Z digest=sha256:3060e788a8238a16f7f5d7eef4d4937494b701545a58bc5a10f8ca61ae4f4ba5

Observation 5db908ef-c0d9-433f-8a95-4bb65052923b · inbound

Inducing Permutation Invariant Priors in Bayesian Optimization for Carbon Capture and Storage Applications cites this paper.

Inducing Permutation Invariant Priors in Bayesian Optimization for Carbon Capture and Storage Applications On permutation-invariant neural networks

Reference 17

Resolution
verified exact
arxiv_id, observed 2026-05-11T16:36:06.212621Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-09T16:10:45.987440Z digest=sha256:b8867c1ab37bc93be8331d028ca92c0412053523c18eec87c57826c048f992f0

Observation af61fa83-1b72-44ba-b9bc-76c715b8e51f · inbound

Inducing Permutation Invariant Priors in Bayesian Optimization for Carbon Capture and Storage Applications cites this paper.

Inducing Permutation Invariant Priors in Bayesian Optimization for Carbon Capture and Storage Applications On permutation-invariant neural networks

Reference 17

Resolution
verified exact
arxiv_id, observed 2026-05-22T11:11:27.436774Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-22T11:07:16.649375Z digest=sha256:2e2cea412b8265e1a1e78f87884145dca2786cffd3a4eb03c39724c374bde450

Observation 763d83bd-d8c9-471c-8ae8-1ec29dde3a5d · inbound

What-Where Transformer: A Slot-Centric Visual Backbone for Concurrent Representation and Localization cites this paper.

What-Where Transformer: A Slot-Centric Visual Backbone for Concurrent Representation and Localization On permutation-invariant neural networks

Reference 37

Resolution
metadata mismatch
arxiv_id, observed 2026-05-13T07:02:27.533441Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-13T07:00:44.575524Z digest=sha256:fbf70a4a0ebc34926a14812151847c2882324357368a97d489f85538f6506017

Observation 556d3aa4-8e7f-4fdc-b8aa-ebc506bf2c39 · inbound

On Efficient Scaling of GNNs via IO-Aware Layers Implementations cites this paper.

On Efficient Scaling of GNNs via IO-Aware Layers Implementations On permutation-invariant neural networks

Reference 14

Resolution
verified exact
arxiv_id, observed 2026-07-01T19:16:01.104760Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-06-28T22:52:59.081816Z digest=sha256:26d787c671d9a407c503c81190ad05a5c500e257d25c6cc4b95ff9b055ed72f0

Observation 3293db91-f1e9-44cb-8303-9b30b9296648 · inbound

Simulation-Based Inference for Cluster Cosmology with Set-Based Neural Network Architectures cites this paper.

Simulation-Based Inference for Cluster Cosmology with Set-Based Neural Network Architectures On permutation-invariant neural networks

Reference 43

Resolution
metadata mismatch
arxiv_id, observed 2026-07-01T18:55:58.476462Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-06-29T01:26:38.405335Z digest=sha256:4a5cc7757d78c8e0f22e9c80ba22853a24efabb3082330ffb81582428b5c4c8c