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Paper Citation Record · LEDGER

Quality and Efficiency of Manual Annotation: Pre-annotation Bias

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2306.09307.

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

pith.paper-citation-record.v1
2306.09307 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T17:13:10.964294Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-15T21:20:59.475991Z

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 b6bd836f-8e5c-464e-8157-e29022cb32fc · inbound

Towards Large Reasoning Models: A Survey of Reinforced Reasoning with Large Language Models cites this paper.

Towards Large Reasoning Models: A Survey of Reinforced Reasoning with Large Language Models Quality and Efficiency of Manual Annotation: Pre-annotation Bias

Reference 97

Resolution
verified exact
arxiv_id, observed 2026-05-15T21:20:59.477510Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-15T21:20:59.128986Z digest=sha256:25bd3f4418b1e248c8ff372b7cd1936752e0886bca95beb101aebe95b8ac3e2c

Observation 52b96696-410d-4e07-aa1f-220c723529d5 · inbound

THEME: Enhancing Thematic Investing with Semantic Stock Representations and Temporal Dynamics cites this paper.

THEME: Enhancing Thematic Investing with Semantic Stock Representations and Temporal Dynamics Quality and Efficiency of Manual Annotation: Pre-annotation Bias

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-05T17:13:10.964294Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T17:13:10.964294Z digest=sha256:4a0d190701b0eb6498dc66a6e3b1e5cd9253fe6452f3f48a344f8502017e7e65

Observation cb51b095-55a2-4b97-aaab-89045bcdc376 · inbound

CoALFake: Collaborative Active Learning with Human-LLM Co-Annotation for Cross-Domain Fake News Detection cites this paper.

CoALFake: Collaborative Active Learning with Human-LLM Co-Annotation for Cross-Domain Fake News Detection Quality and Efficiency of Manual Annotation: Pre-annotation Bias

Reference 44

Resolution
metadata mismatch
arxiv_id, observed 2026-05-13T16:48:03.074193Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-13T16:45:54.099081Z digest=sha256:5e1b6b0a670e9d01a50b6c4c92505c540ac8f01746fac9c3bd8eeffce9c21477