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Paper Citation Record · LEDGER

QUILL: Query Intent with Large Language Models using Retrieval Augmentation and Multi-stage Distillation

As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2210.15718.

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

pith.paper-citation-record.v1
2210.15718 v1

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 2026-08-14T06:32:32.682623+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T16:58:26.376571Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-12T02:41:17.750995Z

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 59e32418-5fdd-4b1a-af2b-42a36e996b5b · inbound

Explainable LLM-driven Multi-dimensional Distillation for E-Commerce Relevance Learning cites this paper.

Explainable LLM-driven Multi-dimensional Distillation for E-Commerce Relevance Learning QUILL: Query Intent with Large Language Models using Retrieval Augmentation and Multi-stage Distillation

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-12T16:58:26.376571Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T16:58:26.376571Z digest=sha256:f886588ad7c047022de2ce20e1d06e2f2e4674f8c47d907f35f095fc3875315e

Observation d2baf331-6968-4f1c-853f-d26a388be083 · inbound

On Accelerating Edge AI: Optimizing Resource-Constrained Environments cites this paper.

On Accelerating Edge AI: Optimizing Resource-Constrained Environments QUILL: Query Intent with Large Language Models using Retrieval Augmentation and Multi-stage Distillation

Reference 95

Resolution
unresolved
no resolver link, observed 2026-08-10T14:46:38.510532Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T14:46:38.510532Z digest=sha256:a6713c76dc194599f8e931788ded2543fce70d144a436b8b8137b27d7efc97d7

Observation 95448eb2-ed39-40b2-85bc-fbe9bdf651cc · inbound

Question Decomposition for Retrieval-Augmented Generation cites this paper.

Question Decomposition for Retrieval-Augmented Generation QUILL: Query Intent with Large Language Models using Retrieval Augmentation and Multi-stage Distillation

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-06T21:23:22.286529Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T21:23:22.286529Z digest=sha256:ff2fd30a0fc1e7029277cc28a80896220038cc6400d3aaeeb333f7fff9a2cd55

Observation 30e233dd-abad-4a2d-a799-e45b269bd6e7 · inbound

Enhancing Healthcare Search Intent Recognition with Query Representation Learning and Session Context cites this paper.

Enhancing Healthcare Search Intent Recognition with Query Representation Learning and Session Context QUILL: Query Intent with Large Language Models using Retrieval Augmentation and Multi-stage Distillation

Reference 24

Resolution
verified exact
arxiv_id, observed 2026-05-12T02:41:17.752741Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-12T02:38:38.653779Z digest=sha256:0173dc0f60243895269c3822cc9b88c7a5effa9230bf5f1167b8a386ff36da15