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Paper Citation Record · LEDGER

Multiset-Equivariant Set Prediction with Approximate Implicit Differentiation

As of 24 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2111.12193.

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

pith.paper-citation-record.v1
2111.12193 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T15:09:21.115193Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-10T15:23:02.873805Z

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 1364a9b6-69dd-4aa0-ab33-4f0d5bec3f71 · inbound

Multiset Transformer: Advancing Representation Learning in Persistence Diagrams cites this paper.

Multiset Transformer: Advancing Representation Learning in Persistence Diagrams Multiset-Equivariant Set Prediction with Approximate Implicit Differentiation

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-12T15:09:21.115193Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T15:09:21.115193Z digest=sha256:5c27db67e8dfa2339dc362175e3dd42a3e06319cf6580f30340b6d85838635ed

Observation 3c012346-8aa4-4654-99e9-126561a584cd · inbound

When GNNs meet symmetry in ILPs: an orbit-based feature augmentation approach cites this paper.

When GNNs meet symmetry in ILPs: an orbit-based feature augmentation approach Multiset-Equivariant Set Prediction with Approximate Implicit Differentiation

Reference 37

Resolution
verified exact
local_arxiv, observed 2026-08-10T15:23:02.880338Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-10T15:23:02.828934Z digest=sha256:c42ceafbe7b205f2acc67756e9d584d883bdb2bfe06b0f5cfab7557ebbe73074