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Paper Citation Record · LEDGER

Introduction to Latent Variable Energy-Based Models: A Path Towards Autonomous Machine Intelligence

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2306.02572.

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

pith.paper-citation-record.v1
2306.02572 v1

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 2026-08-20T06:33:59.587034+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T00:14:57.510578Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T21:18:59.540675Z

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 9610dd77-db03-4d8f-8019-412afc10c89b · inbound

PEPR: Privileged Event-based Predictive Regularization for Domain Generalization cites this paper.

PEPR: Privileged Event-based Predictive Regularization for Domain Generalization Introduction to Latent Variable Energy-Based Models: A Path Towards Autonomous Machine Intelligence

Reference 15

Resolution
verified exact
arxiv_id, observed 2026-05-16T07:40:44.107919Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-16T07:37:38.263234Z digest=sha256:05ed7563acd97311f475a2a242d772e46aab81d27c530ba669c17d66fbde0bd4

Observation c4f023d5-c73a-44c4-805c-8add3c2f238c · inbound

A Hybrid Optimization Framework for Grasp Synthesis under Partial Observations cites this paper.

A Hybrid Optimization Framework for Grasp Synthesis under Partial Observations Introduction to Latent Variable Energy-Based Models: A Path Towards Autonomous Machine Intelligence

Reference 2

Resolution
verified exact
arxiv_id, observed 2026-07-03T21:18:59.542169Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-06-27T00:40:29.593363Z digest=sha256:b79dac8744cab9ab14ff54d114a56afafa1a711a9554884378b5947cf1be3ad0

Observation c9452960-65e3-47f6-b7e9-2ff592a42ff3 · inbound

6G: From Connectivity Infrastructure to Guaranteed Digital Services cites this paper.

6G: From Connectivity Infrastructure to Guaranteed Digital Services Introduction to Latent Variable Energy-Based Models: A Path Towards Autonomous Machine Intelligence

Reference 48

Resolution
unresolved
no resolver link, observed 2026-07-31T21:39:08.099507Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T21:39:08.099507Z digest=sha256:268628437773333952324e7d26a9ba812b6e80e5dd26efdf85887eabfd0b25b5

Observation 36e44842-335c-4263-802e-cd270ce4b342 · inbound

6G: From Connectivity Infrastructure to Guaranteed Digital Services cites this paper.

6G: From Connectivity Infrastructure to Guaranteed Digital Services Introduction to Latent Variable Energy-Based Models: A Path Towards Autonomous Machine Intelligence

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-04T01:35:48.571353Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T01:35:48.571353Z digest=sha256:beda0a8ff8038ece47f51d0e62e55325e8367d57688fc5724d5dc9efa8df1aa4

Observation eb67f197-f405-474a-bb6b-b452e43b1eac · inbound

Three Necessary Principles for Self-Supervised Visual Representation Learning cites this paper.

Three Necessary Principles for Self-Supervised Visual Representation Learning Introduction to Latent Variable Energy-Based Models: A Path Towards Autonomous Machine Intelligence

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-12T00:14:57.510578Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T00:14:57.510578Z digest=sha256:c227bcf3e2d0c73dd884cf8c44708edebdded38c3885705328e7b692a1743ca0