Paper Citation Record · LEDGER

Identifiable Deep Generative Models via Sparse Decoding

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2110.10804.

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

pith.paper-citation-record.v1
2110.10804 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 2026-08-10T06:31:04.303077+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:19:07.081368Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

2
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation d0dc38bc-ecfa-4dea-9fb9-9239c66a953c · inbound

The Linear Representation Hypothesis and the Geometry of Large Language Models cites this paper.

The Linear Representation Hypothesis and the Geometry of Large Language Models Identifiable Deep Generative Models via Sparse Decoding

Reference 19

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T21:43:28.460391Z

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 775f7310-b691-4f56-b045-21cd8382172a · inbound

Enhancing Uncertainty Estimation and Interpretability via Bayesian Non-negative Decision Layer cites this paper.

Enhancing Uncertainty Estimation and Interpretability via Bayesian Non-negative Decision Layer Identifiable Deep Generative Models via Sparse Decoding

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-07T13:19:07.081368Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 430c5abf-1225-4318-9018-d8a49e8e417c · inbound

Mechanistic Independence: A Principle for Identifiable Disentangled Representations cites this paper.

Mechanistic Independence: A Principle for Identifiable Disentangled Representations Identifiable Deep Generative Models via Sparse Decoding

Reference 15

Resolution: verified exact; arxiv_id, observed 2026-05-18T13:32:37.855120Z

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 2b8fef64-a50b-4f92-84b8-a7140be5d9cd · inbound

Diverse Dictionary Learning cites this paper.

Diverse Dictionary Learning Identifiable Deep Generative Models via Sparse Decoding

Reference 9

Resolution: verified exact; arxiv_id, observed 2026-05-10T06:41:36.621766Z

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 b2975baa-e642-402b-92a3-6eedd64e5857 · inbound

From Generalist to Specialist Representation cites this paper.

From Generalist to Specialist Representation Identifiable Deep Generative Models via Sparse Decoding

Reference 5

Resolution: metadata mismatch; arxiv_id, observed 2026-05-14T21:32:59.019036Z

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.