Paper Citation Record · LEDGER

Distilling Dense Representations for Ranking using Tightly-Coupled Teachers

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2010.11386.

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

pith.paper-citation-record.v1
2010.11386 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 8 of 8 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 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T19:41:36.269977Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T02:56:29.181940Z

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 ec3d0702-f88b-46c6-b213-5299dfdedd89 · inbound

Hypencoder: Hypernetworks for Information Retrieval cites this paper.

Hypencoder: Hypernetworks for Information Retrieval Distilling Dense Representations for Ranking using Tightly-Coupled Teachers

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-08T19:41:36.269977Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0f2a62dc-bc47-4aae-9da4-f2baefd6797b · inbound

Conventional Contrastive Learning Often Falls Short: Improving Dense Retrieval with Cross-Encoder Listwise Distillation and Synthetic Data cites this paper.

Conventional Contrastive Learning Often Falls Short: Improving Dense Retrieval with Cross-Encoder Listwise Distillation and Synthetic Data Distilling Dense Representations for Ranking using Tightly-Coupled Teachers

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-07T14:23:40.046989Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 85fa0add-bede-4521-aef9-f1026cda33e0 · inbound

Disentangling Locality and Entropy in Ranking Distillation cites this paper.

Disentangling Locality and Entropy in Ranking Distillation Distilling Dense Representations for Ranking using Tightly-Coupled Teachers

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-07T13:47:15.988276Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c740d6d7-d8e8-4e13-b71a-39cef92a126c · inbound

Comparative Analysis of Lion and AdamW Optimizers for Cross-Encoder Reranking with MiniLM, GTE, and ModernBERT cites this paper.

Comparative Analysis of Lion and AdamW Optimizers for Cross-Encoder Reranking with MiniLM, GTE, and ModernBERT Distilling Dense Representations for Ranking using Tightly-Coupled Teachers

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-06T23:27:11.130733Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3ffd4ac7-5033-4d34-9e9f-672498c1ca7f · inbound

Unified Supervision for Walmart's Sponsored Search Retrieval via Joint Semantic Relevance and Behavioral Engagement Modeling cites this paper.

Unified Supervision for Walmart's Sponsored Search Retrieval via Joint Semantic Relevance and Behavioral Engagement Modeling Distilling Dense Representations for Ranking using Tightly-Coupled Teachers

Reference 15

Resolution: verified exact; arxiv_id, observed 2026-05-11T05:10:55.021184Z

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.

Observation 0a0cc798-6eab-44bb-bda9-f8b74b26154a · inbound

When Does Complexity Conditioning Help a Frozen Sentence Embedding? A Controlled Study of Per-Sentence and Pair-Level Difficulty Adaptation cites this paper.

When Does Complexity Conditioning Help a Frozen Sentence Embedding? A Controlled Study of Per-Sentence and Pair-Level Difficulty Adaptation Distilling Dense Representations for Ranking using Tightly-Coupled Teachers

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-07-02T02:56:29.184827Z

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.

Observation a394681e-ac31-4ee8-bc27-0e33b9fe0504 · inbound

Score-Only Distillation for Compact Dense Retrieval cites this paper.

Score-Only Distillation for Compact Dense Retrieval Distilling Dense Representations for Ranking using Tightly-Coupled Teachers

Reference 17

Resolution: unresolved; no resolver link, observed 2026-07-14T05:25:43.593958Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a1bfd4b5-ab62-4849-93e6-c239469c553e · inbound

Towards a Relevance Posterior in Neural Information Access cites this paper.

Towards a Relevance Posterior in Neural Information Access Distilling Dense Representations for Ranking using Tightly-Coupled Teachers

Reference 39

Resolution: unresolved; no resolver link, observed 2026-07-30T19:03:05.283175Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.