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Paper Citation Record · LEDGER

Improving Fast Segmentation With Teacher-student Learning

As of 5 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1810.08476.

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

pith.paper-citation-record.v1
1810.08476 v1

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 2026-08-05T06:32:48.257954+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T10:34:46.801984Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-05-24T03:48:52.937562Z

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 27b6f913-d4eb-434f-83b3-c670eb0b5823 · inbound

Attention-Mamba: A Mamba-Enhanced Multi-Scale Parallel Inference Network for Medical Image Segmentation cites this paper.

Attention-Mamba: A Mamba-Enhanced Multi-Scale Parallel Inference Network for Medical Image Segmentation Improving Fast Segmentation With Teacher-student Learning

Reference 59

Resolution
verified exact
local_arxiv, observed 2026-05-24T03:48:52.940959Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-24T03:48:15.130339Z digest=sha256:6b2851a548d8c64796590fad6bab4af3d7ac867e281e14390d6a14a99572e94f

Observation 01504c18-da7f-4e8e-bc1e-c430a929e0c0 · inbound

SelfAug: Mitigating Catastrophic Forgetting in Retrieval-Augmented Generation via Distribution Self-Alignment cites this paper.

SelfAug: Mitigating Catastrophic Forgetting in Retrieval-Augmented Generation via Distribution Self-Alignment Improving Fast Segmentation With Teacher-student Learning

Reference 85

Resolution
unresolved
no resolver link, observed 2026-08-05T10:34:46.801984Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T10:34:46.801984Z digest=sha256:a426eb7e90b19d88816f11b867238aef969b0a36d0960676d99b5b6c9a1f9d45