Paper Citation Record · LEDGER

Causal Concept Graph Models: Beyond Causal Opacity in Deep Learning

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2405.16507.

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

pith.paper-citation-record.v1
2405.16507 v6

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 7 of 7 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T22:42:25.397684Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T00:19:13.798776Z

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 f3a14b0a-3468-4bc4-a2b4-e38b621031e0 · 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? Causal Concept Graph Models: Beyond Causal Opacity in Deep Learning

Reference 20

Resolution: verified exact; arxiv_id, observed 2026-05-22T17:51:54.942968Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 39dcf176-2486-456c-844f-2c9a6004a297 · inbound

Interpretable Hierarchical Concept Reasoning through Attention-Guided Graph Learning cites this paper.

Interpretable Hierarchical Concept Reasoning through Attention-Guided Graph Learning Causal Concept Graph Models: Beyond Causal Opacity in Deep Learning

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-06T22:42:25.397684Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 93605d5b-14eb-4664-9d03-02193750996e · inbound

Prototype-Grounded Concept Models for Verifiable Concept Alignment cites this paper.

Prototype-Grounded Concept Models for Verifiable Concept Alignment Causal Concept Graph Models: Beyond Causal Opacity in Deep Learning

Reference 8

Resolution: metadata mismatch; arxiv_id, observed 2026-05-10T08:22:37.449015Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 2c169cfb-3fa7-480d-8398-8cde15254aa1 · inbound

Prototype-Grounded Concept Models for Verifiable Concept Alignment cites this paper.

Prototype-Grounded Concept Models for Verifiable Concept Alignment Causal Concept Graph Models: Beyond Causal Opacity in Deep Learning

Reference 8

Resolution: metadata mismatch; arxiv_id, observed 2026-05-22T10:11:23.507974Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 5b2c98a8-b46d-4d16-bf9c-24e78f88e8ec · inbound

Measuring What Matters: Synthetic Benchmarks for Concept Bottleneck Models cites this paper.

Measuring What Matters: Synthetic Benchmarks for Concept Bottleneck Models Causal Concept Graph Models: Beyond Causal Opacity in Deep Learning

Reference 19

Resolution: verified exact; arxiv_id, observed 2026-07-02T06:16:43.858952Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation d1e87d7a-ea4d-4ceb-ae51-7532552e5f27 · inbound

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

Concept Flow Models: Anchoring Concept-Based Reasoning with Hierarchical Bottlenecks Causal Concept Graph Models: Beyond Causal Opacity in Deep Learning

Reference 3

Resolution: verified exact; arxiv_id, observed 2026-07-04T00:19:13.800280Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation db12afd1-ff6d-426c-938c-3fa925517e2e · inbound

Concept-based Visual Counterfactual Explanations with Diffusion Models cites this paper.

Concept-based Visual Counterfactual Explanations with Diffusion Models Causal Concept Graph Models: Beyond Causal Opacity in Deep Learning

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-02T14:57:28.211428Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.