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Paper Citation Record · LEDGER

MILL: Mutual Verification with Large Language Models for Zero-Shot Query Expansion

As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2310.19056.

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

pith.paper-citation-record.v1
2310.19056 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T17:47:44.936346Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-18T18:11:43.108650Z

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 d936c5f1-9c45-497b-893f-2db38e072599 · inbound

SELF: Surrogate-light Feature Selection with Large Language Models in Deep Recommender Systems cites this paper.

SELF: Surrogate-light Feature Selection with Large Language Models in Deep Recommender Systems MILL: Mutual Verification with Large Language Models for Zero-Shot Query Expansion

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-11T17:47:44.936346Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T17:47:44.936346Z digest=sha256:a2bfcdbed6cafad8fc411e0b1ffc71ff6967e5fdf603e0efef96bcec10cde020

Observation dac17981-92c9-4f72-9737-30159d62e358 · inbound

LLM-Powered User Simulator for Recommender System cites this paper.

LLM-Powered User Simulator for Recommender System MILL: Mutual Verification with Large Language Models for Zero-Shot Query Expansion

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-11T05:58:33.155423Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T05:58:33.155423Z digest=sha256:f3de9763f6ee523d66f1aefe1646734c6cf834a4daa052dbd31a80495d720033

Observation 1d934965-6c4f-4ad8-a2d9-08fe42313ac8 · inbound

TAPO: Task-Referenced Adaptation for Prompt Optimization cites this paper.

TAPO: Task-Referenced Adaptation for Prompt Optimization MILL: Mutual Verification with Large Language Models for Zero-Shot Query Expansion

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-10T20:57:57.311452Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T20:57:57.311452Z digest=sha256:65638b62b348aecf427ebc97b1521428e28a6dab893b37ec01cb4d971e71bb58

Observation 20a56886-915f-40a3-b498-e71e75743162 · inbound

A New Query Expansion Approach via Agent-Mediated Dialogic Inquiry cites this paper.

A New Query Expansion Approach via Agent-Mediated Dialogic Inquiry MILL: Mutual Verification with Large Language Models for Zero-Shot Query Expansion

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-08T04:43:14.913863Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T04:43:14.913863Z digest=sha256:c0e6f2b7e94d5f262a50e62e1e1a901688e3fdcf6093526b1c6453a7a06d262c

Observation 0a283129-a172-448b-aa20-f26843fd655d · inbound

Domain-Aware RAG: MoL-Enhanced RL for Efficient Training and Scalable Retrieval cites this paper.

Domain-Aware RAG: MoL-Enhanced RL for Efficient Training and Scalable Retrieval MILL: Mutual Verification with Large Language Models for Zero-Shot Query Expansion

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-04T23:23:40.400761Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T23:23:40.400761Z digest=sha256:5c0ff47c55e0ddc7ca429c17d479c04bf1ad5fb43e6375ffaf57728284932379

Observation 520f1edb-b1f0-4e3b-a038-94a11ad73db1 · inbound

Query Expansion in the Age of Pre-trained and Large Language Models: A Comprehensive Survey cites this paper.

Query Expansion in the Age of Pre-trained and Large Language Models: A Comprehensive Survey MILL: Mutual Verification with Large Language Models for Zero-Shot Query Expansion

Reference 36

Resolution
verified exact
arxiv_id, observed 2026-05-18T18:11:43.110990Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-18T18:07:33.612858Z digest=sha256:5f324d87f7fbacb160a8feff5f500c1523c1dbead0a43e4f82831df4ea2f748d