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Paper Citation Record · LEDGER

Unsupervised Dialogue Topic Segmentation in Hyperdimensional Space

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2308.10464.

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

pith.paper-citation-record.v1
2308.10464 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 2026-08-22T06:32:14.747728+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T18:14:06.329912Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-29T00:12:50.524857Z

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 44efb3c7-5187-4871-8314-6c8a6e217047 · inbound

Semantic Source Code Segmentation using Small and Large Language Models cites this paper.

Semantic Source Code Segmentation using Small and Large Language Models Unsupervised Dialogue Topic Segmentation in Hyperdimensional Space

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-06T18:14:06.329912Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T18:14:06.329912Z digest=sha256:e6b4c1f8220cb4ff8d07ca6b732e1674483393b2c1544d7f49db85edfd26a407

Observation 3391ac92-789d-41d8-9675-78bbe02e63ca · inbound

CobSeg: Coherence Boundary Modeling for Dialogue Topic Segmentation cites this paper.

CobSeg: Coherence Boundary Modeling for Dialogue Topic Segmentation Unsupervised Dialogue Topic Segmentation in Hyperdimensional Space

Reference 34

Resolution
verified exact
arxiv_id, observed 2026-06-29T00:12:50.526122Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-06-28T23:14:01.641214Z digest=sha256:d7f797f7c29a1fb0c094df911a25e3f27b45d718c46961375dbeb47350909b2a