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Paper Citation Record · LEDGER

Epistemic Deep Learning

As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2206.07609.

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

pith.paper-citation-record.v1
2206.07609 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 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 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T05:47:07.465585Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T17:40:01.035531Z

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 a1c32374-a635-4bd7-85f7-c789ce2f2ebd · inbound

A Unified Evaluation Framework for Epistemic Predictions cites this paper.

A Unified Evaluation Framework for Epistemic Predictions Epistemic Deep Learning

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-10T05:47:07.465585Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T05:47:07.465585Z digest=sha256:b7ed94becbfbf701d896c4dd429f67564cc49f3af34a4036467fbd2423112a8d

Observation a6605083-6a12-4ac6-9e41-71333ebdbb38 · inbound

Random-Set Graph Neural Networks cites this paper.

Random-Set Graph Neural Networks Epistemic Deep Learning

Reference 1

Resolution
verified exact
arxiv_id, observed 2026-05-13T05:17:18.139981Z

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.

source=pdf_text observed=2026-05-13T05:15:55.175024Z digest=sha256:f6ed2db2cb911c2b55fc7b232b2cbf04072776c3f740c5531ca7216e59829bc2

Observation e3b2d22e-bddf-4cbf-9166-b7ce5cccaa57 · inbound

Distributional Energy-Based Models for Uncertainty-Aware Structured LLM Reasoning cites this paper.

Distributional Energy-Based Models for Uncertainty-Aware Structured LLM Reasoning Epistemic Deep Learning

Reference 46

Resolution
verified exact
arxiv_id, observed 2026-05-20T20:49:00.886923Z

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.

source=arxiv_source observed=2026-05-20T20:45:45.158828Z digest=sha256:f9d0e0bf7f420a41d2e3fc867e06940949df73099a6f73edb4ae2a125f1859d4

Observation f3cd2fcf-79df-4245-a03d-e27246385f04 · inbound

What Intermediate Layers Know: Detecting Jailbreaks from Entropy Dynamics cites this paper.

What Intermediate Layers Know: Detecting Jailbreaks from Entropy Dynamics Epistemic Deep Learning

Reference 26

Resolution
verified exact
arxiv_id, observed 2026-07-04T17:40:01.036921Z

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.

source=pdf_text observed=2026-06-25T23:28:39.739645Z digest=sha256:d4db4f5a46c8b02ec665cfc771d885120cf4eb3d650e236a4f92560ae9b47a23