Paper Citation Record · LEDGER

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

As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 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 4 of 4 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 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T05:41:51.496530Z

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 2026-08-23T06:30:58.430688+00:00.

Observation 8cd31149-85f1-4208-8360-598e128f1c67 · inbound

LLM-Generated Fake News Induces Truth Decay in News Ecosystem: A Case Study on Neural News Recommendation cites this paper.

LLM-Generated Fake News Induces Truth Decay in News Ecosystem: A Case Study on Neural News Recommendation Exploring the Escalation of Source Bias in User, Data, and Recommender System Feedback Loop

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-16T05:41:51.496530Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 04a0f539-d239-4bf9-b0d6-180d7359a656 · inbound

Bias Mitigation for AI-Feedback Loops in Recommender Systems: A Systematic Literature Review and Taxonomy cites this paper.

Bias Mitigation for AI-Feedback Loops in Recommender Systems: A Systematic Literature Review and Taxonomy Exploring the Escalation of Source Bias in User, Data, and Recommender System Feedback Loop

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-15T16:46:28.202188Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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.