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Paper Citation Record · LEDGER

Input Convex Gradient Networks

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2111.12187.

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

pith.paper-citation-record.v1
2111.12187 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 2026-08-20T06:33:59.587034+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T05:53:30.265551Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-23T07:27:42.629684Z

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 a59645d5-cb10-420a-ae56-bbfefadb6392 · inbound

Regional climate risk assessment from climate models using probabilistic machine learning cites this paper.

Regional climate risk assessment from climate models using probabilistic machine learning Input Convex Gradient Networks

Reference 105

Resolution
verified exact
arxiv_id, observed 2026-05-23T07:27:42.632862Z

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=2026-05-23T07:26:44.351983Z digest=sha256:0b8ed429786d7a8c84e57330a54042a6f9f5f8997f0aaff275980d8cf8cd7f42

Observation fe213aa2-ea30-479e-b0e0-75a63684b000 · inbound

Learning Brenier Potentials with Convex Generative Adversarial Neural Networks cites this paper.

Learning Brenier Potentials with Convex Generative Adversarial Neural Networks Input Convex Gradient Networks

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-16T05:53:30.265551Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T05:53:30.265551Z digest=sha256:644a94da562694c1a435584fc51b3b7b8ff57610c97a41c856923b48e12bcdc3

Observation 0d858c87-4122-423d-beb1-b53faacc8d6a · inbound

Universal Representation of Generalized Convex Functions and their Gradients cites this paper.

Universal Representation of Generalized Convex Functions and their Gradients Input Convex Gradient Networks

Reference 17

Resolution
verified exact
arxiv_id, observed 2026-05-18T19:36:48.113835Z

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=2026-05-18T19:33:47.769396Z digest=sha256:4ecfc0a1e4296ceb7160c9892b387dde1828efb589cd6fc82d4b0652c2ee0aeb

Observation 107ce523-1132-4af3-9f7d-22655eeae544 · inbound

Learning Monge maps with constrained drifting models cites this paper.

Learning Monge maps with constrained drifting models Input Convex Gradient Networks

Reference 26

Resolution
metadata mismatch
arxiv_id, observed 2026-05-15T00:48:24.741412Z

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=2026-05-15T00:47:27.995776Z digest=sha256:5866b8bcb239d3764c7e13f4856e0ec7a7d330ec5ad03ecb1600a00b3098eb55