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Paper Citation Record · LEDGER

Interloper bias in future large-scale structure surveys

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1507.05092.

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

pith.paper-citation-record.v1
1507.05092 v2

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 2026-08-06T06:34:29.942622+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-24T10:56:51.613356Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-05-24T10:59:21.667539Z

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 0bd360bd-fa06-47af-bbcc-2e7acb434c4b · inbound

A $(D_\tau,D_x)$-manifold with $N$-correlators of $N_t$-objects cites this paper.

A $(D_\tau,D_x)$-manifold with $N$-correlators of $N_t$-objects Interloper bias in future large-scale structure surveys

Reference 19

Resolution
verified exact
local_arxiv, observed 2026-05-24T10:59:21.670163Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-24T10:56:51.613356Z digest=sha256:35c48980498f1666f764723780e1526babd02496a16a2ecb8f79b180ddfd0f2f

Observation 19dcca73-9088-42a0-ae2b-98ba2ac02b3b · inbound

Filtering Interlopers with Photometry and Diagnostic Features: A Machine Learning Framework Validated with CSST Slitless Spectroscopy cites this paper.

Filtering Interlopers with Photometry and Diagnostic Features: A Machine Learning Framework Validated with CSST Slitless Spectroscopy Interloper bias in future large-scale structure surveys

Reference 11

Resolution
verified exact
local_arxiv, observed 2026-05-21T16:14:15.148469Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-21T16:12:23.173655Z digest=sha256:8363d0eb343708cb7f2cb33fa0954f5f6b07188f3b021bcd4019089f14b6d223