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Paper Citation Record · LEDGER

Towards quantifying information flows: relative entropy in deep neural networks and the renormalization group

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2107.06898.

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

pith.paper-citation-record.v1
2107.06898 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T06:01:11.561046Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T22:06:25.009846Z

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 5cf54a31-93b2-4d7a-9293-6cc0daf7f6fc · inbound

Criticality analysis of nuclear binding energy neural networks cites this paper.

Criticality analysis of nuclear binding energy neural networks Towards quantifying information flows: relative entropy in deep neural networks and the renormalization group

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-06T06:01:11.561046Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T06:01:11.561046Z digest=sha256:2f27800072bc1ef116b8327e5b0e1a196a5528f7002fe2de6ff524773b4c8068

Observation 3bbe4ea3-5da9-48c9-9dc9-ed7a30ceb234 · inbound

Lecture Notes on Statistical Physics and Neural Networks cites this paper.

Lecture Notes on Statistical Physics and Neural Networks Towards quantifying information flows: relative entropy in deep neural networks and the renormalization group

Reference 9

Resolution
verified exact
arxiv_id, observed 2026-05-11T22:06:25.013376Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-08T03:24:06.282053Z digest=sha256:0e1f4ccc89d66ec2a4bee0c9f165abd1b9377ab1591a91ca21b3de4dc800e326