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Paper Citation Record · LEDGER

HULLMI: Human vs LLM identification with explainability

As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2409.04808.

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

pith.paper-citation-record.v1
2409.04808 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 2026-08-23T06:30:58.430688+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T11:42:45.203214Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T00:39:45.050912Z

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 59e2980c-4cb1-4e0b-aee0-5c0a31e8df83 · inbound

Visual Error Patterns in Multi-Modal AI: A Statistical Approach cites this paper.

Visual Error Patterns in Multi-Modal AI: A Statistical Approach HULLMI: Human vs LLM identification with explainability

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-12T11:42:45.203214Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T11:42:45.203214Z digest=sha256:01a538b8253a8f7a2e28748c0524f2c73fd188f865ab340fb1ea3409bdc8367b

Observation 497c4c3a-faac-417d-b334-1796e21653d1 · inbound

DeBERTa-Sentinel: Toward Transparent and Trustworthy Detection of AI-Generated Text cites this paper.

DeBERTa-Sentinel: Toward Transparent and Trustworthy Detection of AI-Generated Text HULLMI: Human vs LLM identification with explainability

Reference 2025

Resolution
verified exact
local_arxiv, observed 2026-08-06T00:39:45.130008Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T00:39:43.356291Z digest=sha256:ddc96f6d452069008e6cd4240a1e26f3e46fe69edae939328bfb6693c6418183