Pith. sign in

Paper Citation Record · LEDGER

Discover-then-Name: Task-Agnostic Concept Bottlenecks via Automated Concept Discovery

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2407.14499.

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

pith.paper-citation-record.v1
2407.14499 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T11:29:14.953313Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-23T03:42:28.249265Z

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 b2735643-cf66-4380-bb81-5cceed11e911 · inbound

Towards scientific discovery with dictionary learning: Extracting biological concepts from microscopy foundation models cites this paper.

Towards scientific discovery with dictionary learning: Extracting biological concepts from microscopy foundation models Discover-then-Name: Task-Agnostic Concept Bottlenecks via Automated Concept Discovery

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-11T11:29:14.953313Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T11:29:14.953313Z digest=sha256:274aae89b035728a2c226ae8de06579884d60fa91d2dcf9c3dc17a2cda126084

Observation c0ed8587-5f76-4588-9df3-b6ba97af6685 · inbound

Label-free Concept Based Multiple Instance Learning for Gigapixel Histopathology cites this paper.

Label-free Concept Based Multiple Instance Learning for Gigapixel Histopathology Discover-then-Name: Task-Agnostic Concept Bottlenecks via Automated Concept Discovery

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-10T22:05:32.583548Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:05:32.583548Z digest=sha256:b9c3a0a2490e0354c095f41e804f039928ffc366097053df8309c57d551f1e0c

Observation b1784a0a-8572-4006-a882-e80bfb1397ce · inbound

Zero-shot Concept Bottleneck Models cites this paper.

Zero-shot Concept Bottleneck Models Discover-then-Name: Task-Agnostic Concept Bottlenecks via Automated Concept Discovery

Reference 4

Resolution
verified exact
arxiv_id, observed 2026-05-23T03:42:28.251215Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-23T03:38:36.649912Z digest=sha256:0f41f74415c950e1bd1f4b3669b411eaf5e989e52890407030f1fddaa49e522f

Observation 6a9c2c30-6368-41e3-b003-9f8b7d1b665b · inbound

AIM: Amending Inherent Interpretability via Self-Supervised Masking cites this paper.

AIM: Amending Inherent Interpretability via Self-Supervised Masking Discover-then-Name: Task-Agnostic Concept Bottlenecks via Automated Concept Discovery

Reference 96

Resolution
unresolved
no resolver link, observed 2026-08-05T19:54:22.120796Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T19:54:22.120796Z digest=sha256:bbd800bec395e501fddf32e34745157ae36f282340e258ab6e954fba23bcb000

Observation 86780f9b-3420-4b5d-a0c6-bf948104baba · inbound

When, How Long and How Much? Interpretable Neural Networks for Time Series Regression by Learning to Mask and Aggregate cites this paper.

When, How Long and How Much? Interpretable Neural Networks for Time Series Regression by Learning to Mask and Aggregate Discover-then-Name: Task-Agnostic Concept Bottlenecks via Automated Concept Discovery

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-03T18:48:41.807418Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T18:48:41.807418Z digest=sha256:e8765d490b84de29ed8c9c89da8a687ddd7ec9d091f3fac1c1ebfc8301ebcfe4