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Paper Citation Record · LEDGER

Pseudocovering and digital covering spaces

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2306.01235.

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

pith.paper-citation-record.v1
2306.01235 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 2026-08-07T06:34:17.273281+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-02T21:46:33.177203Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-19T06:42:07.416440Z

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 590d2baf-f7a9-41dd-b0df-ac90c3c90843 · inbound

Intrinsic Fingerprint of LLMs: Continue Training is NOT All You Need to Steal A Model! cites this paper.

Intrinsic Fingerprint of LLMs: Continue Training is NOT All You Need to Steal A Model! Pseudocovering and digital covering spaces

Reference 7

Resolution
verified exact
arxiv_id, observed 2026-05-19T06:42:07.418205Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-19T06:39:47.345016Z digest=sha256:884dc0ae42c32d3170d1d2ddfa5ddd0f9d048d9926b71e324a70ef66ec361a28

Observation 5c4f1196-1c9c-49b4-92e0-fde80c0d762a · inbound

GS-CLIP: Zero-shot 3D Anomaly Detection by Geometry-Aware Prompt and Synergistic View Representation Learning cites this paper.

GS-CLIP: Zero-shot 3D Anomaly Detection by Geometry-Aware Prompt and Synergistic View Representation Learning Pseudocovering and digital covering spaces

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-02T21:46:33.177203Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T21:46:33.177203Z digest=sha256:d736bb4c4fc61ee540e94df25b0cc7b29eb28c61cc2cd6b91cf5d37938e1b920