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Paper Citation Record · LEDGER

DiSCo: LLM Knowledge Distillation for Efficient Sparse Retrieval in Conversational Search

As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2410.14609.

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

pith.paper-citation-record.v1
2410.14609 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 2026-08-13T06:32:02.005865+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T15:01:18.990887Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-12T15:01:19.109277Z

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 d8ebb573-4b59-488c-bb4a-74ad2b785160 · inbound

IRLab@iKAT24: Learned Sparse Retrieval with Multi-aspect LLM Query Generation for Conversational Search cites this paper.

IRLab@iKAT24: Learned Sparse Retrieval with Multi-aspect LLM Query Generation for Conversational Search DiSCo: LLM Knowledge Distillation for Efficient Sparse Retrieval in Conversational Search

Reference 18

Resolution
verified exact
local_arxiv, observed 2026-08-12T15:01:19.118458Z

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=2026-08-12T15:01:18.990887Z digest=sha256:dadd24891e376366a3a1c29c7e67e77f6b49790c67bdc4eab0eeb63c0e36200b

Observation c1108f2e-e1b3-42b2-a5f7-a9451262c68a · inbound

LLMs are Also Effective Embedding Models: An In-depth Overview cites this paper.

LLMs are Also Effective Embedding Models: An In-depth Overview DiSCo: LLM Knowledge Distillation for Efficient Sparse Retrieval in Conversational Search

Reference 107

Resolution
unresolved
no resolver link, observed 2026-08-11T13:59:01.774604Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T13:59:01.774604Z digest=sha256:b65b23d14c81fa5c4b719094ac48cc755e83cfa1c2dc0f54ad5bcace44d3eda4