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Paper Citation Record · LEDGER

Learning to Intervene on Concept Bottlenecks

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2308.13453.

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

pith.paper-citation-record.v1
2308.13453 v3

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 2026-08-07T14:24:34.347399Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T03:39:30.247637Z

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 c8f341a4-9a53-463e-9e7e-3d056e035156 · 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 Learning to Intervene on Concept Bottlenecks

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-07T14:24:34.347399Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:24:34.347399Z digest=sha256:b0b382e436a558b9259713c6fdadf80e1175b3d3e5e989df4c88043f35aa9b4d

Observation 9038a1eb-344b-438e-9baf-80e1ed72c00e · inbound

Concept Flow Models: Anchoring Concept-Based Reasoning with Hierarchical Bottlenecks cites this paper.

Concept Flow Models: Anchoring Concept-Based Reasoning with Hierarchical Bottlenecks Learning to Intervene on Concept Bottlenecks

Reference 15

Resolution
verified exact
arxiv_id, observed 2026-07-04T00:19:13.805271Z

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=2026-06-26T21:16:21.252304Z digest=sha256:5da19d5690f2ef8d42076cccf1862068066d0b9b3deb141945a0bce9dd159e8e

Observation b5642ae9-d1dc-4fc1-a1bd-098c1c9060cf · inbound

Interpreting Neural Combinatorial Optimization via Evolving Programmatic Bottlenecks cites this paper.

Interpreting Neural Combinatorial Optimization via Evolving Programmatic Bottlenecks Learning to Intervene on Concept Bottlenecks

Reference 6

Resolution
verified exact
arxiv_id, observed 2026-07-04T03:39:30.249664Z

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=2026-06-26T17:49:42.069456Z digest=sha256:24ee22990663afd6482bdab7ddbd3cec1e5803ef126d187b08a2474189138702