Pith. sign in

Paper Citation Record · LEDGER

Exploring the Escalation of Source Bias in User, Data, and Recommender System Feedback Loop

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2405.17998.

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

pith.paper-citation-record.v1
2405.17998 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 2026-08-09T06:31:02.800959+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T13:12:05.115631Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-08T13:12:05.153674Z

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 a151f9f2-ac04-4ab3-988f-76d50b4e27cf · inbound

Generative Ghost: Investigating Ranking Bias Hidden in AI-Generated Videos cites this paper.

Generative Ghost: Investigating Ranking Bias Hidden in AI-Generated Videos Exploring the Escalation of Source Bias in User, Data, and Recommender System Feedback Loop

Reference 37

Resolution
malformed identifier
local_arxiv, observed 2026-08-08T13:12:05.161160Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-08T13:12:05.115631Z digest=sha256:d53216f9e9b84f684d758ba04bcd95e806f2c0c3332253e555badf012008370f

Observation 8b499d5b-9f57-4f1e-aee2-4801a559ada5 · inbound

Epistemic Bias Injection: Manipulating LLM Opinion via Selective Context Retrieval cites this paper.

Epistemic Bias Injection: Manipulating LLM Opinion via Selective Context Retrieval Exploring the Escalation of Source Bias in User, Data, and Recommender System Feedback Loop

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-03T19:27:04.086490Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T19:27:04.086490Z digest=sha256:b3dad5f59554ad36ba6a4a80eed2bdad2e83347687af57283fa30599d5800067