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Paper Citation Record · LEDGER

Deep Manifold Traversal: Changing Labels with Convolutional Features

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1511.06421.

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

pith.paper-citation-record.v1
1511.06421 v3

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 2026-08-18T06:34:40.430872+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T00:08:04.076351Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T14:15:17.368193Z

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 906d1288-437c-478e-bb21-44565219850b · inbound

Global Average Feature Augmentation for Robust Semantic Segmentation with Transformers cites this paper.

Global Average Feature Augmentation for Robust Semantic Segmentation with Transformers Deep Manifold Traversal: Changing Labels with Convolutional Features

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-12T00:08:04.076351Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T00:08:04.076351Z digest=sha256:d9ad4118f2432828c410aa8ef8140e6047c73b05cea172978c6eb91a6e328b50

Observation 53e9203c-e7b1-4d04-bef4-4bfbb1aca080 · inbound

LangDAug: Langevin Data Augmentation for Multi-Source Domain Generalization in Medical Image Segmentation cites this paper.

LangDAug: Langevin Data Augmentation for Multi-Source Domain Generalization in Medical Image Segmentation Deep Manifold Traversal: Changing Labels with Convolutional Features

Reference 18

Resolution
metadata mismatch
local_arxiv, observed 2026-08-07T14:15:17.469299Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-07T14:15:05.393727Z digest=sha256:df8d8d72d19a2c1329c920330992569dc331d2e108a967ef0368bb66a7a56543