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Paper Citation Record · LEDGER

C-SENN: Contrastive Self-Explaining Neural Network

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2206.09575.

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

pith.paper-citation-record.v1
2206.09575 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:24:34.211366Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-22T17:51:54.923145Z

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 a59b48be-debd-4518-8840-6c3175239559 · inbound

If Concept Bottlenecks are the Question, are Foundation Models the Answer? cites this paper.

If Concept Bottlenecks are the Question, are Foundation Models the Answer? C-SENN: Contrastive Self-Explaining Neural Network

Reference 65

Resolution
verified exact
arxiv_id, observed 2026-05-22T17:51:54.926227Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-22T17:50:46.539215Z digest=sha256:3d251464a8c3ce1ecef89cc38dc6fa77f5bfdde9ff3cdd16071442f0b78b8bd5

Observation 15ca1ba9-a213-4b0c-b492-c83d8df814b7 · inbound

A Comprehensive Survey on the Risks and Limitations of Concept-based Models cites this paper.

A Comprehensive Survey on the Risks and Limitations of Concept-based Models C-SENN: Contrastive Self-Explaining Neural Network

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-07T14:24:34.211366Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:24:34.211366Z digest=sha256:fe5831872c746c00473ad91c62ef4a9e38dbc5cf5d6940617e877d11ebaf88e9

Observation 25049f6c-a552-4769-ba46-aed0687785cf · inbound

Self-Explaining Reinforcement Learning for Mobile Network Resource Allocation cites this paper.

Self-Explaining Reinforcement Learning for Mobile Network Resource Allocation C-SENN: Contrastive Self-Explaining Neural Network

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-04T16:15:46.855747Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T16:15:46.855747Z digest=sha256:e26b04642d6cac2fc36bd6b80653c634f2c34db0174fe3f6a7e979c6a3425776